Issue 1 - Volume 1914 - Journal of Physics: Conference Series

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288 416 288c17.7 0 32-14.3 32-32s-14.3-32-32-32l-306.7 0L214.6 118.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0l-160 160z"/></svg>Previous issue</a> <a href="/issue/1742-6596/1901/1" class="ml-1">Next issue<svg aria-hidden="true" class="fa-icon fa-icon--right" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg></a> </p> <h4 class="mb-05">2021 International Conference on Electrical, Electronics and Computing Technology (EECT 2021) 26-28 March 2021, Xiamen, China</h4> <p> Accepted papers received: 05 May 2021 <br> Published online: 24 May 2021 </p> </div>   <p id="jnl-issue-disp-links" class="cf"> <button data-reveal-label-alt="Close all abstracts" class="reveal-all-trigger mr-2 small" data-reveal-text="Open all abstracts" data-link-purpose-append="in this issue" data-link-purpose-append-open="in this issue">Open all abstracts<span class="offscreen-hidden">, in this issue</span></button> </p>   <form id="articles" method="post" action="" class="article-list-form"> <input type="hidden" name="issn" value="1742-6596" /> <input type="hidden" name="volume" value="1914" /> <input type="hidden" name="issue" value="1" /> <div class="art-list" id="wd-jnl-issue-art-list"> <h3 class="bdt-6 bd-grey-tint mb-1"> Preface</h3>  <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">011001</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/011001" class="art-list-item-title"> Preface </a> </div>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Preface" data-link-purpose-append-open="Preface">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/011001/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Preface</span> </a> <a href="/article/10.1088/1742-6596/1914/1/011001/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Preface</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>The 2021 International Conference on Electrical, Electronics and Computing Technology (EECT 2021) planned to be held from March 26-28, 2021 in Xiamen, China was changed to be held virtually. Considering the unpredictable situation of COVID-19, the pandemic-related nationwide lockdowns, other coordinated restrictive measures, as well as the health and safety of our participants and members of our research community is of top priority to the organizing committee. Therefore, the EECT 2021 conference was eventually held online through Zoom software.</p><p>EECT 2021 is to bring together innovative academics and industrial experts in the field of electrical, electronics and computing technology to a common forum. The primary goal of the conference is to promote research and developmental activities in electrical, electronics and Computing Technology and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.</p><p>The conference was divided into three sessions, including keynote speeches, oral presentations, and poster presentations. In the keynote presentations part, we have 4 renowned professors present their insightful speeches. Each speaker allocated 40-45 minutes including 5min for Q&A to hold their speeches. Prof. Zhe Chen from Aalborg University, Prof. Udaya K. Madawala from The University of Auckland, Prof. Hong Lin from University of Houston Downtown, USA, and Assoc. Prof. Pushpendra Singh from JK Lakshmipat University, India. For oral presentations, some authors were given approximately 10-15 minutes to perform their oral presentations one by one.</p><p>EECT 2021 received more than 121 manuscripts, and 53 submissions have been accepted. All accepted papers under the Journal's Peer Review Policy were strictly selected based on originality, significance, relevance, and contribution to the area after being peer-reviewed. EECT 2021 follows a double-blind reviewing process to make the review process as fair as possible, both reviewers' and authors' identities remain anonymous.</p><p>We would like to acknowledge all editors, staff, committee members, reviewers, and authors who contributed to the conference. The help and contribution of each individual and institution were instrumental in the success of the conference. Each individual and institutional help were very important for the success of this conference. In particular, we would like to thank the organizing committee for its valuable inputs in shaping the conference program and reviewing the submitted papers.</p><p>EECT 2021 Committee</p><p>Conference Committee, General Chairs, Program Chairs, Steering Committee, Publication Chairs, Publicity Chairs, Technical Program Committee are available in the pdf</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/011001">https://doi.org/10.1088/1742-6596/1914/1/011001</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">011002</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/011002" class="art-list-item-title"> Peer review declaration </a> </div>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Peer review declaration" data-link-purpose-append-open="Peer review declaration">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/011002/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Peer review declaration</span> </a> <a href="/article/10.1088/1742-6596/1914/1/011002/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Peer review declaration</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.</p><p><b>Type of peer review: Double-blind</b></p><p>• <b>Conference submission management system: CMT</b></p><p>• <b>Number of submissions received: 121</b></p><p>• <b>Number of submissions sent for review: 117</b></p><p>• <b>Number of submissions accepted: 53</b></p><p>• <b>Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100)</b>: 43.8%</p><p>• <b>Average number of reviews per paper: 2</b></p><p>• <b>Total number of reviewers involved: 51</b></p><p>• <b>Any additional info on review process</b>: : All papers will be peer-reviewed by at least 2-3 members of the Program Committee; an Initial Plagiarism Check is carried out for every manuscript submitted. Authors will receive review comments via email and be required to do necessary revisions if the paper is accepted.</p><p>• <b>Contact person for queries</b>:</p><p>Catherine Liu International Computing and Engineering Association info@ceect.net</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/011002">https://doi.org/10.1088/1742-6596/1914/1/011002</a> </div> </div> </div> </div>  <h3 class="bdt-6 bd-grey-tint mb-1"> Papers</h3>  <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012001</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012001" class="art-list-item-title"> Target polarization characteristics analysis and detection in complex background </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Guoyang Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xiaofeng Nie</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhongqiang Du</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Target polarization characteristics analysis and detection in complex background" data-link-purpose-append-open="Target polarization characteristics analysis and detection in complex background">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012001/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Target polarization characteristics analysis and detection in complex background</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012001/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Target polarization characteristics analysis and detection in complex background</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Polarization feature contains important information of the target and expecially related to the surface properties of target. In some complex conditions, such as the background of bushes and shrubs, masking target detection is of great significance. In order to realize target detection in complex conditions, we propose a new method based on the traditional CEM detection method, utilizing the polarization feature of the material, and finally achieve the purpose of target detection by using the polarization dimension feature of the material.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012001">https://doi.org/10.1088/1742-6596/1914/1/012001</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012002</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012002" class="art-list-item-title"> When Convolutional Neural Networks Meet Remote Sensing Data for Fire Detection </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Ziwen Li</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yuehuan Wang</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Shuo Liang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="When Convolutional Neural Networks Meet Remote Sensing Data for Fire Detection" data-link-purpose-append-open="When Convolutional Neural Networks Meet Remote Sensing Data for Fire Detection">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012002/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, When Convolutional Neural Networks Meet Remote Sensing Data for Fire Detection</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012002/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, When Convolutional Neural Networks Meet Remote Sensing Data for Fire Detection</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In this paper, we present a novel end-to-end Dual Fire Detection Network (DFD-Net) for the remote sensing data fire detection task. The proposed network architecture consists of two streams in a parallel fashion, a fire estimate stream is used to detect fire pixels, and a cloud-water stream is built to exclude cloud and water regions. Moreover, the pixel and band attention modules adapted to characteristics of the remote sensing data are proposed. Experimental results on our prepared Himawari-8 data fire detection dataset with ground truth labels demonstrate that the proposed algorithm outperforms existed fire detection methods in various metrics.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012002">https://doi.org/10.1088/1742-6596/1914/1/012002</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012003</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012003" class="art-list-item-title"> Latent factor model based zero-shot learning </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Y X Q Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Y D Peng</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">J D Li</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">C X Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">D R Yu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">R T Xia</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">D B Liu</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">B Yang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Latent factor model based zero-shot learning" data-link-purpose-append-open="Latent factor model based zero-shot learning">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012003/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Latent factor model based zero-shot learning</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012003/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Latent factor model based zero-shot learning</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>The key of zero-shot learning is to design an appropriate approach to capture the potential relevance between the image visual features and category-level semantic knowledge. There is a lot of data with matrix form in zero-shot recognition problem, such as image label matrix, visual feature matrix and semantic information matrix. Inspired by the latent factor model which tackles recommendation problems well avoid being influenced by sparse matrix, we regard an image as a user and analogize each dimension of the visual feature as an item. The key to our approach is that we model the image recognition as a special recommendation problem by aid of latent factor model. We evaluate our algorithm on three classic benchmark data sets for both conventional and generalized zero-shot setting, the classification results outperform significantly the state-of-art approaches with low calculation cost.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012003">https://doi.org/10.1088/1742-6596/1914/1/012003</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012004</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012004" class="art-list-item-title"> A Novel Method of Light Source Calibration under Near-field Lighting Condition </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Feng Ge</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Chen Li</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xu Zhang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="A Novel Method of Light Source Calibration under Near-field Lighting Condition" data-link-purpose-append-open="A Novel Method of Light Source Calibration under Near-field Lighting Condition">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012004/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, A Novel Method of Light Source Calibration under Near-field Lighting Condition</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012004/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, A Novel Method of Light Source Calibration under Near-field Lighting Condition</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>The paper presents a novel method of photometric stereo calibration that works under near-field condition, and eight LED lights are installed on the system. In order to estimate the pose of the light source, light source position estimation based on iPad imaging is proposed. However, it is difficult to estimate principal optical axis direction of the light source which would influence the reconstruction result. Considering the problems of above, the new convolution kernel is used to find the brightest point on the chessboard paper, and the principal optical axis direction of light source can be precisely calculated according to geometric transformation. The experiments show the high-quality of 3-D reconstruction can be obtained by using the novel calibration method.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012004">https://doi.org/10.1088/1742-6596/1914/1/012004</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012005</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012005" class="art-list-item-title"> A structured light image quality evaluation method based on no-reference quality assessment </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">W Z Ji</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Q Xue</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">X H Sun</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">P P Sun</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">H Meng</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="A structured light image quality evaluation method based on no-reference quality assessment" data-link-purpose-append-open="A structured light image quality evaluation method based on no-reference quality assessment">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012005/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, A structured light image quality evaluation method based on no-reference quality assessment</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012005/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, A structured light image quality evaluation method based on no-reference quality assessment</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Affected by noise, color, and light blocking, there are some large error data contained in the results of structured light 3D measurement. In the absence of effective criterion, the data can only be recognized artificially. In this paper, a criterion based on Human Vision System (HVS), which can be applied to recognize the large error data by evaluating the noise variance level of the stripe images, and a method used to improve the level of measurement accuracy are proposed. According to the proposed method, the no-reference quality assessment is used to evaluate the quality of stripe images. With the noise evaluation coefficient, the large error data can be identified automatically. The experimental results show that this method is efficient in detecting large error data in the stripe images.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012005">https://doi.org/10.1088/1742-6596/1914/1/012005</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012006</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012006" class="art-list-item-title"> Three-dimensional reconstruction method based on jitter optimization </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Peichen Liang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Weixin Zheng</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xiao Xu</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Three-dimensional reconstruction method based on jitter optimization" data-link-purpose-append-open="Three-dimensional reconstruction method based on jitter optimization">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012006/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Three-dimensional reconstruction method based on jitter optimization</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012006/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Three-dimensional reconstruction method based on jitter optimization</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>For obtaining richer visual information and eliminating mismatched points faster, a jitter-optimized 3D reconstruction algorithm is proposed. First, we built a stereo vision system that can capture images from multiple views of a jittering plane mirror. A vector-based method is defined to evaluate the performance of 3D point cloud and predict the optimal jittering state of the object, and then select robust feature points with integration optimization strategy. Experimental results show that the proposed algorithm can efficiently eliminate mismatched points and supplement robust features. Furthermore, selecting a reasonable visual angle of the binocular cameras will significantly improve the effect of jitter optimization, and higher-quality reconstruction will be obtained. The proposed method can solve the difficult problem to change the pose of the object or adjust the position of the binocular cameras to capture images from multiple views.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012006">https://doi.org/10.1088/1742-6596/1914/1/012006</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012007</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012007" class="art-list-item-title"> 2D Light scattering images analyzed by deep learning algorithm for label-free differentiation of dead and live colonic adenocarcinoma cells </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Shuaiyi Li</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Ya Li</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jianning Yao</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Bing Chen</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jiayou Song</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Qi Xue</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xiaonan Yang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="2D Light scattering images analyzed by deep learning algorithm for label-free differentiation of dead and live colonic adenocarcinoma cells" data-link-purpose-append-open="2D Light scattering images analyzed by deep learning algorithm for label-free differentiation of dead and live colonic adenocarcinoma cells">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012007/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, 2D Light scattering images analyzed by deep learning algorithm for label-free differentiation of dead and live colonic adenocarcinoma cells</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012007/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, 2D Light scattering images analyzed by deep learning algorithm for label-free differentiation of dead and live colonic adenocarcinoma cells</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>The detection of cell viability or the detection of the percentage of live and dead cells in a sample of cells is an important parameter. At present, the common methods for cell viability determination mainly rely on the responses to cell dyes. However, the additional need for cell staining will consequently cause time-consuming and laborious efforts. Furthermore, the determination of cell viability by cell staining is invasive and may damage the internal structure of cells. In this work, we proposed a label-free method to classify live and dead colonic adenocarcinoma cells by 2D light scattering combined with deep learning algorithm. The deep convolutional network of YOLO-v3 was used to identify and classify light scattering images of live and dead HT29 cells. This method achieved an excellent sensitivity (92.16%), specificity (94.23%), and accuracy (93.2%). The results show that the combination of 2D light scattering images and deep neural network may provide a new label-free method for cellular analysis.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012007">https://doi.org/10.1088/1742-6596/1914/1/012007</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012008</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012008" class="art-list-item-title"> Nonlocal total variation regularization with Shape Adaptive Patches for image denoising via Split Bregman method </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Ma Shuli</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Du Huiqian</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Mei Wenbo</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jia Luliang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Nonlocal total variation regularization with Shape Adaptive Patches for image denoising via Split Bregman method" data-link-purpose-append-open="Nonlocal total variation regularization with Shape Adaptive Patches for image denoising via Split Bregman method">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012008/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Nonlocal total variation regularization with Shape Adaptive Patches for image denoising via Split Bregman method</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012008/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Nonlocal total variation regularization with Shape Adaptive Patches for image denoising via Split Bregman method</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Non-Local or patch-based approaches are used in most of the state-of-the-art methods for image denoising. Denoising with regular square patches may cause noise halos around edges, particularly high contrasted edges. In order to overcome this drawback, this work presents an extension of the Non-Local TV framework that effectively exploits the potential local geometric features of the image by replacing the simple square patches with different oriented shapes. We first solve the denoised models of ROF-NLTV with different oriented patch shapes by Split Bregman algorithm. Then, use exponentially weighted aggregation method based on Stein's unbiased risk estimate to combine the estimators obtained in the first step. The numerical results show our method outperforms some previous ones. Moreover, common noise halos around edges usually observed by denoising with Non-Local TV method are reduced thanks our approach.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012008">https://doi.org/10.1088/1742-6596/1914/1/012008</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012009</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012009" class="art-list-item-title"> Cross-view geo-localization via Salient Feature Partition Network </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Sijin He</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yuehuan Wang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Cross-view geo-localization via Salient Feature Partition Network" data-link-purpose-append-open="Cross-view geo-localization via Salient Feature Partition Network">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012009/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Cross-view geo-localization via Salient Feature Partition Network</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012009/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Cross-view geo-localization via Salient Feature Partition Network</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Cross-view geo-localization aims to find images containing the same geographic target from images obtained from different platforms. The extreme viewpoint variations bring challenges to this task. Existing methods usually focus on mining the fine-grained features of geographic targets in images, ignoring the potential contextual information around them. In this paper, we consider that the background regions can be used as auxiliary information, which can make the image representation for geo-localization more discriminative. Specifically, we designed a classification network that divides regional features based on saliency, called Salient Feature Partition Network (SFPN), which utilizes background information in an end-to-end manner. Without using additional part estimators, SFPN divides the features into foreground and background based on saliency. It simplifies part matching and realizes the region division learning. The method proposed in this paper has achieved competitive results on the university 1652 dataset.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012009">https://doi.org/10.1088/1742-6596/1914/1/012009</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012010</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012010" class="art-list-item-title"> Research Summary of Blockchain Fragmentation Propagation Mechanism Based on Merkel Tree </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Tian Liwei</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Sun Yu</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Research Summary of Blockchain Fragmentation Propagation Mechanism Based on Merkel Tree" data-link-purpose-append-open="Research Summary of Blockchain Fragmentation Propagation Mechanism Based on Merkel Tree">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012010/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Research Summary of Blockchain Fragmentation Propagation Mechanism Based on Merkel Tree</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012010/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Research Summary of Blockchain Fragmentation Propagation Mechanism Based on Merkel Tree</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>At present, when the blockchain system propagates blocks, it is a point-to-point propagation of complete blocks. This method has three shortcomings: the propagation load is large; the message can only be received from one node; only after the complete block is received, can it be propagated to other nodes. Therefore, this article considers changing the block's Merkel tree data structure to minimize the data size during block propagation while ensuring that the receiving node can reconstruct the correct and complete block. On the other hand, in order to be able to receive blocks from multiple nodes at the same time and relay to other nodes when incompletely received, the blocks are fragmented and then reorganized. At the same time, the correctness of a single fragment can also be verified.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012010">https://doi.org/10.1088/1742-6596/1914/1/012010</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012011</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012011" class="art-list-item-title"> Relevance Transfer: Towards Robust Distillation in Person Re-Identification </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jing Zhou</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zuliu Yang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Junting Yang</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yong Zhao</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Relevance Transfer: Towards Robust Distillation in Person Re-Identification" data-link-purpose-append-open="Relevance Transfer: Towards Robust Distillation in Person Re-Identification">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012011/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Relevance Transfer: Towards Robust Distillation in Person Re-Identification</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012011/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Relevance Transfer: Towards Robust Distillation in Person Re-Identification</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Person Re-Identification(ReID) is developing rapidly these years powered by deep learning. However most existing methods with state-of-the-art performance are highly dependent on "heavy" CNN backbones, which are hard to deploy on lightweight computing devices. In this paper, we propose a novel feature distillation method called Relevance Transfer, which aims to transfer the knowledge hidden inside the relation of different feature parts from teacher network to tiny student network. And we conduct a Multi-Granularity Horizontal Partition (MGHP) strategy to make training more efficient and robust. As results on two mainstream ReID datasets show, our method achieves competitive performance with original logits Knowledge Distillation (logits KD), and gains even more aggressive performance when works along with logits KD.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012011">https://doi.org/10.1088/1742-6596/1914/1/012011</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012012</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012012" class="art-list-item-title"> Preliminary Design of 1000MW Nuclear Reactor </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Lei Yi</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Wang Wei</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhang Qian</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhao Qiang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Preliminary Design of 1000MW Nuclear Reactor" data-link-purpose-append-open="Preliminary Design of 1000MW Nuclear Reactor">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012012/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Preliminary Design of 1000MW Nuclear Reactor</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012012/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Preliminary Design of 1000MW Nuclear Reactor</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In order to verify the practicality of a software named NECP, which is used for physical design of the nuclear power reactor, a preliminary design of 1000MWe, PWR were carried out by using this software. After the conceptual design, fuel assembly design and the full core dispersion design, the main parameters were determined and the 8 kinds of fuel assemblies were arranged. The homogenization calculation of various types of fuel assemblies and the arrangement of core fuel assemblies were completed while the full core dispersion calculation was performed. The power results, reactivity curves and non-uniform coefficients were determined after simulated and compared with the preset expected values. According to the reactor design criteria, the results are analyzed and improved. By modifying parameters such as the fuel enrichment of different components, the reactor design that meets the requirements is finally obtained. The results show that the calculated values are in good agreement with the expected values and meet the reactor design criteria, and the NECP software can be applied to operate the reactor physical parameters in the nuclear power plant.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012012">https://doi.org/10.1088/1742-6596/1914/1/012012</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012013</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012013" class="art-list-item-title"> Operation practice and regulatory framework of offshore wind grid connection system </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Feifei Zhao</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xingning Han</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jinlong Ma</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yong Sun</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xueshun Ye</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Operation practice and regulatory framework of offshore wind grid connection system" data-link-purpose-append-open="Operation practice and regulatory framework of offshore wind grid connection system">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012013/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Operation practice and regulatory framework of offshore wind grid connection system</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012013/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Operation practice and regulatory framework of offshore wind grid connection system</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Offshore wind is experiencing rapid growth around the world, and is moving towards large-scale and far-reaching sea. Grid connection has become an important challenge for large-scale development of offshore wind power. In this paper, technology and regulatory framework of offshore wind grid connection are systematically summarized and complied. Europe has accumulated rich experience in this field, therefore taking UK, Denmark and Germany as examples, the practical experience of offshore wind grid integration is analyzed in terms of technology choice, framework, operation and maintenance, and recovery of connection costs. which is a good reference for China when dealing with the coming challenges.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012013">https://doi.org/10.1088/1742-6596/1914/1/012013</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012014</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012014" class="art-list-item-title"> Support grid integration of offshore wind power </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xingning Han</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Feifei Zhao</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jinlong Ma</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xueshun Ye</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yong Sun</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Support grid integration of offshore wind power" data-link-purpose-append-open="Support grid integration of offshore wind power">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012014/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Support grid integration of offshore wind power</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012014/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Support grid integration of offshore wind power</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>China has a cumulative installed offshore wind capacity of 6.8 GW, making it the third largest in the world. Compared with Europe, which is the largest offshore wind power market, there are still gaps to substantially tapping the offshore wind potentials of China. This paper aims to investigate advanced experience of offshore wind power, and explore innovative approaches for offshore wind deployment and grid integration in China. Development and issues caused by offshore wind power in UK, Germany and Denmark have been investigated, including technological progress, curtailment, and network congestion and redispatch needs. The grid integration approaches to re-enforcement of network to accommodate offshore wind power are also analysed. Contrastive analysis is taken about stakeholders and planning process of offshore wind among UK, Germany, and Denmark. Construction suggestions are proposed for the development of offshore wind power in China during the 14<sup>th</sup> Five Year Plan period.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012014">https://doi.org/10.1088/1742-6596/1914/1/012014</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012015</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012015" class="art-list-item-title"> Optimization Decision Method based on Nonlinear Analytic Hierarchy Process for Active Distribution Network Planning </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xuejun Zheng</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xin Hu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jingsong Li</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yan Li</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xiaotong Luo</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Shaorong Wang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Optimization Decision Method based on Nonlinear Analytic Hierarchy Process for Active Distribution Network Planning" data-link-purpose-append-open="Optimization Decision Method based on Nonlinear Analytic Hierarchy Process for Active Distribution Network Planning">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012015/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Optimization Decision Method based on Nonlinear Analytic Hierarchy Process for Active Distribution Network Planning</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012015/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Optimization Decision Method based on Nonlinear Analytic Hierarchy Process for Active Distribution Network Planning</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Aiming at the investment environment of the distribution network, this paper deeply analyses the investment conditions of the distribution network, introduces the analytic hierarchy process and modern investment theory, establishes the analytic hierarchy of the investment conditions in the distribution network project, and proposes an optimization decision-making method of investment plan in distribution network. This paper also establishes two new concepts: condition score and correlation score, uses the improving analytic hierarchy process to calculate the weights, proposes a priority ranking method for distribution network projects, and gives detailed process. to formulate distribution network investment plans. The application of the proposed method to optimize the distribution network planning scheme shows that the optimization investment scheme given has better investment benefits under the condition of the power supply reliability requirements of the distribution network and investment capital constraints.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012015">https://doi.org/10.1088/1742-6596/1914/1/012015</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012016</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012016" class="art-list-item-title"> Assessment of the importance of branches considering new energy access </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">D L Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">S Yang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">W X Huang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">J Wu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Y Y Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">X Tian</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Z H Guo</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Assessment of the importance of branches considering new energy access" data-link-purpose-append-open="Assessment of the importance of branches considering new energy access">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012016/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Assessment of the importance of branches considering new energy access</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012016/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Assessment of the importance of branches considering new energy access</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Under the background of increasing penetration rate of new energy, the risk level of power system is getting higher and higher. Identifying the key branches of the system quickly and accurately is of great significance for improving the stability of power grid operation and preventing the occurrence of blackouts. This paper models the uncertain factors after the new energy is connected and establishes a grid risk assessment system. Based on the probabilistic power flow calculation, the comprehensive system risk index under the decommissioning of each branch is obtained as the branch importance through five indicators like power flow fluctuation risk and line active power over-limit risk The improved IEEE-39 node system is used as an example for simulation calculation. The results verify the effectiveness of this method, which can distinguish the importance of branches, and provide references for safety early warning and differentiated planning.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012016">https://doi.org/10.1088/1742-6596/1914/1/012016</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012017</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012017" class="art-list-item-title"> An integrated energy system scheduling optimization method considering economy, stability and environmental protection </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Qinghui Lou</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jun Chen</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Honghai Niu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Rui Qiu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jun Wu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yuan Gao</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xiangzhui Ma</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xiaocheng Guan</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jun Ouyang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="An integrated energy system scheduling optimization method considering economy, stability and environmental protection" data-link-purpose-append-open="An integrated energy system scheduling optimization method considering economy, stability and environmental protection">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012017/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, An integrated energy system scheduling optimization method considering economy, stability and environmental protection</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012017/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, An integrated energy system scheduling optimization method considering economy, stability and environmental protection</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In this paper, first, an energy efficiency evaluation method including economy, stability and environmental protection was given. Second, a mathematical model of the integrated energy system and a single-objective economic optimization model under different operation conditions, which add renewable energy and power storage equipment and could be solved based on the greedy algorithm, were given to improve the energy efficiency. Finally, an integrated energy system including wind power, photovoltaics, power storage equipment and conventional loads was taken as an example. Considering the time-of-use electricity price and the full utilization of energy storage, 4 optimization plans were set up for comprehensive energy efficiency evaluation and comparison. The result shows that the energy efficiency evaluation method proposed in this paper is practical and feasible, and the optimization method proposed plays a guiding role in the operation of similar parks.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012017">https://doi.org/10.1088/1742-6596/1914/1/012017</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012018</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012018" class="art-list-item-title"> Construction of the core backbone grid based on the maximum profit-to-risk ratio </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">D L Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">S Yang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">W X Huang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">J Wu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Y Y Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">X Tian</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Z H Guo</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Construction of the core backbone grid based on the maximum profit-to-risk ratio" data-link-purpose-append-open="Construction of the core backbone grid based on the maximum profit-to-risk ratio">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012018/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Construction of the core backbone grid based on the maximum profit-to-risk ratio</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012018/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Construction of the core backbone grid based on the maximum profit-to-risk ratio</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>The construction of the core backbone grid affects the ability of the power system to resist disasters and failures. However, traditional construction methods favor stable water and thermal power sources, which are no longer in line with the development trend of modern power systems. After new energy is connected to the core backbone grid, how to balance the system risk and the economic benefits it brings needs to be solved urgently. This paper takes the maximum profit-to-risk ratio as the objective function, and constructs the core backbone grid by a step-by-step method. The results of the improved IEEE 188 node calculation example show that the method proposed in this paper can effectively distinguish the key branch and nodes of the system. The core backbone grid structure constructed can ensure the stability of the system and improve the economy of the disaster-resistant system through the access of new energy units.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012018">https://doi.org/10.1088/1742-6596/1914/1/012018</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012019</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012019" class="art-list-item-title"> Fast Closed-Loop SLAM based on the fusion of IMU and Lidar </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Luo Hengjie</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Bao Hong</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xu Cheng</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Fast Closed-Loop SLAM based on the fusion of IMU and Lidar" data-link-purpose-append-open="Fast Closed-Loop SLAM based on the fusion of IMU and Lidar">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012019/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Fast Closed-Loop SLAM based on the fusion of IMU and Lidar</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012019/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Fast Closed-Loop SLAM based on the fusion of IMU and Lidar</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In the large-scale mapping of Lidar SLAM, there are problems of slow closed-loop detection matching speed and false detection. To solve this problem, this paper proposed a method based on the fusion of IMU and Lidar. Use IMU geomagnetic data for geomagnetic matching and filter the pose nodes in the map to reduce the search space during closed-loop detection. At the same time, due to the reduction of the search space, it can effectively reduce the high local similarity in Lidar SLAM false detection caused. This experiment verified the method by collecting Lidar point cloud data and IMU three-axis geomagnetic data in a real environment, the closed-loop detection speed and map average absolute error of frame-by-frame method, branch-and-bound method, DTW fusion algorithm and Fast-DTW fusion algorithm were verified and compared. Experimental results shown that, compared with DTW fusion algorithm, the proposed algorithm improved the closed-loop detection speed by 17%, reduced the average absolute error of translation by 16%, and reduced the average absolute error of rotation by 10%.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012019">https://doi.org/10.1088/1742-6596/1914/1/012019</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012020</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012020" class="art-list-item-title"> Path tracking control optimization algorithm for mobile robot based on backstepping control algorithm </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Li Peifeng</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Bao Hong</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xu Cheng</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Path tracking control optimization algorithm for mobile robot based on backstepping control algorithm" data-link-purpose-append-open="Path tracking control optimization algorithm for mobile robot based on backstepping control algorithm">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012020/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Path tracking control optimization algorithm for mobile robot based on backstepping control algorithm</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012020/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Path tracking control optimization algorithm for mobile robot based on backstepping control algorithm</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Path tracking control of wheeled mobile robot is always an important research content in intelligent control research. Aiming at the control problem that the nonholonomic nature of wheeled mobile robot and external interference factors affect the tracking control effect, an improved backstepping control algorithm is proposed based on backstepping algorithm and speed compensation control method. Firstly, the kinematics model of wheeled mobile robot is constructed, and the mathematical relations of kinematics and path tracking state error are deduced. Secondly, the kinematics speed control law of mobile robot is designed based on the backstepping control algorithm and speed compensation control method, which improves the robustness of path tracking control. Finally, the design is verified by Lyapunov stability theorem. The tracking convergence of the tracking control algorithm is discussed. Compared with the traditional backstepping control algorithm, the improved algorithm improves the robustness of path tracking control. The tracking control algorithm proposed in this paper can be applied in the related fields of wheeled mobile robot, and the practical benefit is remarkable.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012020">https://doi.org/10.1088/1742-6596/1914/1/012020</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012021</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012021" class="art-list-item-title"> A Method to Improve IR Drop issue of Large-Size Top-Emission AMOLED </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Shuzhen Yang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Liangfen Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Longqiang Shi</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Baixiang Han</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Shengdong Zhang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="A Method to Improve IR Drop issue of Large-Size Top-Emission AMOLED" data-link-purpose-append-open="A Method to Improve IR Drop issue of Large-Size Top-Emission AMOLED">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012021/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, A Method to Improve IR Drop issue of Large-Size Top-Emission AMOLED</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012021/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, A Method to Improve IR Drop issue of Large-Size Top-Emission AMOLED</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Top-emitting active-matrix organic light-emitting diode (AMOLED) displays usually use a thin cathode layer to obtain high transmittance. However, the thin surface cathode inevitably raises an IR drop issue or even a Mura effect that is visible to the naked eyes, especially in large-size displays. Therefore, to reduce the IR-drop effect and improve the display quality, a plurality of cathode separators are provided to separate the cathode of AMOLEDs to electrically connect the cathode to the auxiliary electrodes under the cathode separators. In this work, we report how to control the process of organic photoresist to obtain a good anti-taper (cathode separator). The organic photoresist is formed through the steps of coating, pre-bake, exposure, post exposure bake (PEB) and then developing, but the exposure and PEB processes are the key factors, which can improve the anti-taper below 53° (The EL evaporation angle is 53°).</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012021">https://doi.org/10.1088/1742-6596/1914/1/012021</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012022</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012022" class="art-list-item-title"> A Sampling-based Distributed Source Coding Scheme </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">H Mo</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">J Chen</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">J Li</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">M Zhao</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="A Sampling-based Distributed Source Coding Scheme" data-link-purpose-append-open="A Sampling-based Distributed Source Coding Scheme">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012022/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, A Sampling-based Distributed Source Coding Scheme</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012022/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, A Sampling-based Distributed Source Coding Scheme</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In many practical distributed source coding (DSC) schemes that apply channel coding and iterative decoding, correlation estimation provides the likelihood information about the source bits to initialize the decoding algorithms. Therefore, the decoding depends strongly on the accuracy of this correlation estimation information. In this study, a sampling-based scheme for DSC is proposed that takes advantage of the source redundancy without requiring prior knowledge of its statistics. At the sender, the source sequence is sampled to obtain the sampled and unsampled sub-sequences. Then, the un-sampled sub-sequence is compressed by an arithmetic coder. Meanwhile the syndromes of the sampled sub-sequence are also calculated. At the receiver, the correlation between the side information and the un-sampled sub-sequence is used to estimate the conditional marginal distribution of the sampled sub-sequence. Then, the estimated information is used to initialize the likelihood information of the decoding algorithms. Finally, the likelihood information is combined with the received syndromes to perform iterative decoding to recover the original sampled sub-sequence. Experiment results show that the proposed scheme achieves better rate-distortion performance compared with the existing DSC schemes.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012022">https://doi.org/10.1088/1742-6596/1914/1/012022</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012023</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012023" class="art-list-item-title"> LooPIM: A Loop-Oriented Acceleration Framework for Processing-in-Memory </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Chuangshi Liu</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xianfeng Li</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="LooPIM: A Loop-Oriented Acceleration Framework for Processing-in-Memory" data-link-purpose-append-open="LooPIM: A Loop-Oriented Acceleration Framework for Processing-in-Memory">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012023/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, LooPIM: A Loop-Oriented Acceleration Framework for Processing-in-Memory</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012023/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, LooPIM: A Loop-Oriented Acceleration Framework for Processing-in-Memory</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>The latest development of 3D stacking technology provides a feasible solution for processing in memory (PIM) to solve the memory wall crisis. Since data can be processed locally in a logic layer adjacent to memory, large emerging big data applications may achieve significant performance and energy-efficiency benefits. Researchers continue to propose various PIM architectures to utilize the advantages of stacked memory efficiently. However, previous efforts relied on manually mapping specialized kernels to the logic layer, making it infeasible to perform more general workloads. We propose a loop-oriented acceleration framework that intelligently partitions loops and maps them onto appropriate execution units. The mapping mechanism can significantly reduce the communication overhead between the host processor and the PIM stack. Besides, we introduce a simple execution model that exploits data-level parallelism transparently. Experiments show that our framework achieves approximately 2.4x performance speedups comparing to the baseline 3D memory system.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012023">https://doi.org/10.1088/1742-6596/1914/1/012023</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012024</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012024" class="art-list-item-title"> An Improved Background Subtraction Method for Adaptive Rate Compressive Sensing </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jianming Wang</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jianhua Chen</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="An Improved Background Subtraction Method for Adaptive Rate Compressive Sensing" data-link-purpose-append-open="An Improved Background Subtraction Method for Adaptive Rate Compressive Sensing">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012024/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, An Improved Background Subtraction Method for Adaptive Rate Compressive Sensing</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012024/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, An Improved Background Subtraction Method for Adaptive Rate Compressive Sensing</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In Compressive Video Sensing application, the using of Adaptive Rate Compressive Sensing (ARCS) method can predict and adjust the sampling rate for each video frame, reduce the total sampling rate and improve the quality of reconstructed image. In order to use the inter-frame correlation of the video signal efficiently and reduce the sampling rate of the whole signal, an Improved Background Subtraction (IBS) method is proposed in this paper. By alternately using the frame without any foreground objects and the previous frame as the background of the signal, the sparsity of the foreground signal is improved and the total sampling rate is reduced. Experimental results show that, compare with the traditional background subtraction method, the IBS method can significantly reduce the total video sampling rate without apparent degradation of reconstructed image quality under the same ARCS method.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012024">https://doi.org/10.1088/1742-6596/1914/1/012024</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012025</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012025" class="art-list-item-title"> Transient Voltage Stability Assessment Method based on gcForest </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Sun Zhiyuan</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">LI Mingpo</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhang Jie</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Hu Binjiang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Qi Guo</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhu Yihua</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Transient Voltage Stability Assessment Method based on gcForest" data-link-purpose-append-open="Transient Voltage Stability Assessment Method based on gcForest">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012025/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Transient Voltage Stability Assessment Method based on gcForest</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012025/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Transient Voltage Stability Assessment Method based on gcForest</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Aiming at the fact that the traditional method cannot quickly and accurately judge the power system transient voltage stability, and the deep neural network method needs many sample data sets and has a large number of hyperparameters, a power system transient voltage stability assessment method based on deep forest (gcForest) is proposed. gcForest effectively extracts features through ensemble learning, multi-layer feature transformation, and dynamically adjusting the number of model layers. Finally, this method is applied to transient voltage stability assessment of an electrolytic aluminium load-intensive area in Guangxi Power Grid. The results show that the method has high accuracy, the feasibility and effectiveness of this method are verified. This method can assist dispatchers to judge the transient voltage stability of the power grid.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012025">https://doi.org/10.1088/1742-6596/1914/1/012025</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012026</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012026" class="art-list-item-title"> 1kW Bidirectional 48V-12V DCDC Converter Design Based on Full Bridge CLLC Topology and FDP Controlling Method for Electric Vehicles Application </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Hai Liu</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Lenian He</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="1kW Bidirectional 48V-12V DCDC Converter Design Based on Full Bridge CLLC Topology and FDP Controlling Method for Electric Vehicles Application" data-link-purpose-append-open="1kW Bidirectional 48V-12V DCDC Converter Design Based on Full Bridge CLLC Topology and FDP Controlling Method for Electric Vehicles Application">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012026/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, 1kW Bidirectional 48V-12V DCDC Converter Design Based on Full Bridge CLLC Topology and FDP Controlling Method for Electric Vehicles Application</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012026/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, 1kW Bidirectional 48V-12V DCDC Converter Design Based on Full Bridge CLLC Topology and FDP Controlling Method for Electric Vehicles Application</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Present electric vehicles market calls for 1kW bidirectional 48V-12V DCDC converters with high performances. The requirements that isolation and soft switching determine the power stage topology choosing range. Based on previous research results and actual requirements of this application, full-bridge CLLC topology is chosen for further analyses and designs. By properly choosing resonant devices, operating frequency (F), phase shift (P) between power side and load side, and duty (D) of power side, the power system achieves high efficiency with soft switching. Soft switching comes from a small extra time per period with no power transfer. The FPD has respective influences on the performances of the power system. For each one of FDP, there is a balance and two important performances that are conversion efficiency and output voltage accuracy which are listed for illustrating influences of F P D and choosing a best FPD for the whole system. The whole system includes power stage design on PCB and controlling stage design on integrated circuits. FPD can be designed self-adapting respectively and a simple control loop is proposed with adjustable D and settled F P. A proper FPD can achieve over 98.9% efficiency and control loop can be verified workable for load variation.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012026">https://doi.org/10.1088/1742-6596/1914/1/012026</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012027</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012027" class="art-list-item-title"> Optimal penetration of distributed generation system in radial distribution network using adaptive scheme </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">A Gill</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">P Singh</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Optimal penetration of distributed generation system in radial distribution network using adaptive scheme" data-link-purpose-append-open="Optimal penetration of distributed generation system in radial distribution network using adaptive scheme">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012027/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Optimal penetration of distributed generation system in radial distribution network using adaptive scheme</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012027/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Optimal penetration of distributed generation system in radial distribution network using adaptive scheme</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In this paper, an adaptive scheme based on biogeography based optimization and particle swarm optimization method for optimal penetration and sizing of distributed generation system in the existing radial distribution network at the optimal bus is suggested. Power losses and voltage profile maintenance are the biggest restrictions of the existing power system. These power losses will be calculated by load flow analysis and the adaptive scheme has been applied for power loss reduction and enhancing voltage profile. The testing of the adaptive scheme for optimal penetration and sizing of distributed generation system will be done at the IEEE 69 bus radial distribution network. This adaptive scheme and IEEE 69 bus radial distribution network are modelled with the help of Matlab software.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012027">https://doi.org/10.1088/1742-6596/1914/1/012027</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012028</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012028" class="art-list-item-title"> Influence of heat source location on the performance of air-flow inclination sensor </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yonghong Zheng</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Shiliu Peng</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Influence of heat source location on the performance of air-flow inclination sensor" data-link-purpose-append-open="Influence of heat source location on the performance of air-flow inclination sensor">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012028/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Influence of heat source location on the performance of air-flow inclination sensor</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012028/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Influence of heat source location on the performance of air-flow inclination sensor</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>According to sensitive mechanism of air-flow inclination sensor, discussing the influence of heat source location on zero output, sensitivity, resolution and response time of the sensor. If the heat source deviates from the centre in horizontal direction, zero output is not zero. If the heat source deviates from the centre in vertical direction, sensitivity and resolution are decreased, while response time is increased. For resolving these problem a solution is proposed finally. Results show this method may reduce the influence of heat source location on the performance of air-flow inclination sensor.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012028">https://doi.org/10.1088/1742-6596/1914/1/012028</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012029</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012029" class="art-list-item-title"> Tumor Type Prediction based on Residual Attention Model </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Y H Wang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Y Tie</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">L Qi</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">F Wang</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">L Wang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Tumor Type Prediction based on Residual Attention Model" data-link-purpose-append-open="Tumor Type Prediction based on Residual Attention Model">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012029/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Tumor Type Prediction based on Residual Attention Model</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012029/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Tumor Type Prediction based on Residual Attention Model</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Early detection of tumors is an important part of cancer treatment. In view of the existing algorithms: single data types, low feature extraction efficiency, and low classification network accuracy. A tumor types prediction model based on deep learning is proposed. The network model uses a Variational auto-encoder (VAE) to fuse the RNA expression and DNA methylation data of 32 tumor types, then uses the Hilbert curve to visualize it. Finally fuse data is sent to classification module: embed the attention module in the backbone network ResNet18 framework, convolutional layer instead of fully connected layer. The new sample is used to predict the tumor type. The experimental results show that this network model has excellent performance in tumor type classification and has important guiding significance for the early diagnosis of tumor patients.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012029">https://doi.org/10.1088/1742-6596/1914/1/012029</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012030</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012030" class="art-list-item-title"> Sensorless Starting Control of Brushless Synchronous Machine (BSM) For Aircraft </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Phinees Ngoy Tshambe</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jiadan Wei</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Sensorless Starting Control of Brushless Synchronous Machine (BSM) For Aircraft" data-link-purpose-append-open="Sensorless Starting Control of Brushless Synchronous Machine (BSM) For Aircraft">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012030/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Sensorless Starting Control of Brushless Synchronous Machine (BSM) For Aircraft</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012030/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Sensorless Starting Control of Brushless Synchronous Machine (BSM) For Aircraft</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In this paper, the sensorless starting control of brushless AC synchronous machine (BSM) for aircraft is studied. Low speed sensorless control technology is the key to accomplish full speed sensorless control. After injected the high frequency voltage with the three-phase AC excitation, the initial rotor position as the response is shown in this paper. On that basis, the sensorless control from starting to low-speed operation is accomplished. The performance of the starting control system is researched using MATLAB simulation software and the feasibility of the proposed scheme is demonstrated by simulation results.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012030">https://doi.org/10.1088/1742-6596/1914/1/012030</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012031</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012031" class="art-list-item-title"> Design and implementation of HF signal receiving and processing module based on FPGA </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Q Y Gong</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">L Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">L Y Yu</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">R L Yan</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Design and implementation of HF signal receiving and processing module based on FPGA" data-link-purpose-append-open="Design and implementation of HF signal receiving and processing module based on FPGA">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012031/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Design and implementation of HF signal receiving and processing module based on FPGA</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012031/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Design and implementation of HF signal receiving and processing module based on FPGA</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>This article designs and implements a receiving processing module based on the Xilinx ZCU102 evaluation board for the signal waveform defined in Appendix C of MIL-STD-188-110C. The focus is on the digital down-conversion, synchronization capture, and adaptive equalization algorithm for this signal processing module. Compare and design two adaptive algorithms, LMS (Least Mean Square) and DLMS (Delayed Least Mean Square). LMS algorithm has better convergence effect than DLMS algorithm, and the calculation efficiency is lower than the DLMS algorithm based on the structure of the systolic array. The signal waveform is tested under CCIR (International Radio Consultative Committee) HF (High Frequency) channel. The experimental results show that the receiving processing module has good feasibility for signals under medium HF channels.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012031">https://doi.org/10.1088/1742-6596/1914/1/012031</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012032</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012032" class="art-list-item-title"> A 15-bit, 5 MSPS SAR ADC with on-chip digital calibration </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Wenxin Yu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yunqiang Hao</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Dongbai Yi</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jianxiong Xi</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xiaowei Zhang</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Lenian He</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="A 15-bit, 5 MSPS SAR ADC with on-chip digital calibration" data-link-purpose-append-open="A 15-bit, 5 MSPS SAR ADC with on-chip digital calibration">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012032/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, A 15-bit, 5 MSPS SAR ADC with on-chip digital calibration</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012032/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, A 15-bit, 5 MSPS SAR ADC with on-chip digital calibration</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In this paper, a digital algorithm based on a 15-bit, 5 million samples per second (MSPS), high-speed successive approximation register (SAR) analog-to-digital converter (ADC) is presented. It features on comparator offset cancellation and capacitor mismatch calibration. The algorithm uses a 13-bit bypass array to measure the errors of both comparator and capacitors. During calibration, errors are read and put into the bypass array to compensate for the mismatches of the main array. Verified by MATLAB, the errors of the SAR ADC output can be corrected into 1 LSB with the help of calibration. The simulation results show that the proposed algorithm improves the precision of the SAR ADC significantly.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012032">https://doi.org/10.1088/1742-6596/1914/1/012032</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012033</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012033" class="art-list-item-title"> Reactive power optimization system of distribution network based on edge calculation </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jinbo Huang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jiangxiao Fang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Liexiang Hu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Bolong Shi</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Suirong Li</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yiyan Tu</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Reactive power optimization system of distribution network based on edge calculation" data-link-purpose-append-open="Reactive power optimization system of distribution network based on edge calculation">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012033/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Reactive power optimization system of distribution network based on edge calculation</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012033/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Reactive power optimization system of distribution network based on edge calculation</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>To deal with the adjustment difficulties caused by the access of photovoltaic (PV) in distribution network, this paper introduces a reactive power optimization system of distribution network based on edge calculation. The proposed system includes two parts. Firstly, the distribution PV edge nodes based on edge calculation are carefully designed. Secondly, based on the edge nodes, the PV station, the grid reactive power optimization, the Automatic Voltage Control (AVC) centre, and the distribution photovoltaic power reactive voltage are controlled co-ordinately. The simulation results prove that the proposed system can effectively improve the voltage quality and the voltage regulation ability of distribution network.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012033">https://doi.org/10.1088/1742-6596/1914/1/012033</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012034</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012034" class="art-list-item-title"> Analysis of Drug Classification using Mechanism of Action </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">G R Puneeth</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">S R Mahesh</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">H Adithya</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Sharma J Bhargava</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">H A Chaya Kumari</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">H L Gururaj</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Lin Hong</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Analysis of Drug Classification using Mechanism of Action" data-link-purpose-append-open="Analysis of Drug Classification using Mechanism of Action">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012034/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Analysis of Drug Classification using Mechanism of Action</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012034/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Analysis of Drug Classification using Mechanism of Action</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Mechanism of action (MOA) refers to the specific biochemical interaction through which a drug substance produces its pharmacological effect. A mechanism of action usually includes mention of the specific molecular targets to which the drug binds, such as an enzyme or receptor. Receptor sites have specific affinities for drugs based on the chemical structure of the drug, as well as the specific action that occurs there. Drugs usually work by binding to a receptor and up-regulating (agonist) or down-regulating (antagonist) the production of some downstream cellular activity. If it is known that a disease affects some particular receptor or downstream set of cell activity, then scientists can develop drugs faster if they can predict how cells and genes affect various receptor sites. This paper contains a detailed review on Mechanism of Action.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012034">https://doi.org/10.1088/1742-6596/1914/1/012034</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012035</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012035" class="art-list-item-title"> Overview and research progress of no reference image quality evaluation methods </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Hao Yue Wang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">XiangNing Chen</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">ShuHan Du</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">BiJie Xu</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yan Liu</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Overview and research progress of no reference image quality evaluation methods" data-link-purpose-append-open="Overview and research progress of no reference image quality evaluation methods">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012035/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Overview and research progress of no reference image quality evaluation methods</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012035/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Overview and research progress of no reference image quality evaluation methods</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Image quality will greatly affect the acquisition of human visual information, but the image will inevitably cause a certain degree of distortion in the process of transmission, compression, coding and so on. At this time, the accuracy of image quality evaluation (IQA) is particularly important, which also makes IQA an important research direction in the field of image processing. IQA methods are divided into subjective image quality evaluation method and objective image quality evaluation method.there are many subjective evaluation methods, and the international telecommunications union (ITU) has also proposed many subjective evaluation methods and standards. there are three most commonly used methods, namely, the double stimulation continuous quality classification method, the single stimulation continuous quality classification method and the double stimulation damage classification method. Correspondingly, there are three kinds of objective evaluation methods, full reference, half reference and no reference. At present, this paper selects the research focus of IQA field-no reference image quality evaluation method as the main research object, summarizes the advantages and disadvantages of each non-reference evaluation method, and prospects the future development of the non-reference image quality evaluation method.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012035">https://doi.org/10.1088/1742-6596/1914/1/012035</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012036</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012036" class="art-list-item-title"> Radar Emitter Identification Based on Fully Connected Spiking Neural Network </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">LI Wei</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhu Wei-gang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Pang Hong-feng</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhao Hong-yu</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Radar Emitter Identification Based on Fully Connected Spiking Neural Network" data-link-purpose-append-open="Radar Emitter Identification Based on Fully Connected Spiking Neural Network">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012036/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Radar Emitter Identification Based on Fully Connected Spiking Neural Network</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012036/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Radar Emitter Identification Based on Fully Connected Spiking Neural Network</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In the face of the increasing complex electromagnetic environment and new radar system, it is difficult to extract radar emitter characteristics based on manual mode to meet requirements of modern cognitive electronic warfare. In order to improve the intelligence level of radar emitter identification, a new method based on Spiking Neuron Network (SNN) for radar emitter identification is proposed in this paper. Firstly, five kinds of common radar signals are converted into two-dimensional gray scale images by using time-frequency analysis method. Then, the images are converted into spikes by Poisson coder, which are put into a fully connected spiking neural network for training and emitter identification. Finally, the simulation results prove the validity of this method by comparing with the traditional neural network.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012036">https://doi.org/10.1088/1742-6596/1914/1/012036</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012037</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012037" class="art-list-item-title"> DCSNet: A Surface Defect Classification and Segmentation Model by One-Class Learning </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Wang Yuxiang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Mu Shiyi</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xie Xiang</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Huang Shanshan</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="DCSNet: A Surface Defect Classification and Segmentation Model by One-Class Learning" data-link-purpose-append-open="DCSNet: A Surface Defect Classification and Segmentation Model by One-Class Learning">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012037/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, DCSNet: A Surface Defect Classification and Segmentation Model by One-Class Learning</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012037/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, DCSNet: A Surface Defect Classification and Segmentation Model by One-Class Learning</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Researches in surface defect classification and segmentation technology have been seen significant progress in recent years. However, there are few works on One-Class learning in this direction by a single model. In previous researches, some problems remain unsolved in the surface defect detection methods, e.g. the training needs a large number of samples and these models cannot classify and locate the surface defect accurately, etc. The main contribution in this work is that we summarize the overall ideas of previous research in network design and propose a multi-task model which could be trained only using a few of positive samples. Meanwhile, the experiments on AITEX detection datasets[1] which get 84.4% DR, 4.4% FAR and 34.2% MIOU, and conduct an ablation experiment in real industrial product dataset to validate the effect of different backbones on DCSNet. It's worth mentioning that DCSNet provides a solution to the task of surface defect classification and segmentation based on One-Class learning. The code will be open source in ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://agit.ai/wyxxx/zhengtu">https://agit.ai/wyxxx/zhengtu.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012037">https://doi.org/10.1088/1742-6596/1914/1/012037</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012038</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012038" class="art-list-item-title"> A Novel Start-up Strategy for MMC-based Medium-voltage DC Distribution System with Low Inrush Current </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Limin Yang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yiying Zhu</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Ming Lei</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="A Novel Start-up Strategy for MMC-based Medium-voltage DC Distribution System with Low Inrush Current" data-link-purpose-append-open="A Novel Start-up Strategy for MMC-based Medium-voltage DC Distribution System with Low Inrush Current">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012038/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, A Novel Start-up Strategy for MMC-based Medium-voltage DC Distribution System with Low Inrush Current</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012038/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, A Novel Start-up Strategy for MMC-based Medium-voltage DC Distribution System with Low Inrush Current</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>To realize medium-voltage dc distribution system, the modular multilevel converter (MMC) is commonly adopted due to its high-level scalability and reliability for medium-voltage high-power energy conversion. Since the capacitors' voltages of the MMC are insufficient when the uncontrolled pre-charging stage is finished, large inrush current exists when the MMC is unlocked for active charging, which can cause malfunction of protection and threat the successful start-up of the whole system. This paper presents a detailed analysis on the causes of inrush current during the MMC's active charging process. Based on the analysis, a novel start-up strategy of the MMC is proposed to achieve improved controllability of the MMC's ac-side currents for inrush current suppression. The simulation results from a full-scale simulation model demonstrate that the inrush current can be effectively suppressed during the MMC's active charging process.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012038">https://doi.org/10.1088/1742-6596/1914/1/012038</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012039</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012039" class="art-list-item-title"> Compact Tunable Balanced Dual-band Bandpass Filter Using Tri-Stub Loaded Resonator </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Hong Yang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Dewei Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Junjie Zhang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xian Wang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Chenqing Pan</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhuang Ma</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yufan Fu</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Compact Tunable Balanced Dual-band Bandpass Filter Using Tri-Stub Loaded Resonator" data-link-purpose-append-open="Compact Tunable Balanced Dual-band Bandpass Filter Using Tri-Stub Loaded Resonator">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012039/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Compact Tunable Balanced Dual-band Bandpass Filter Using Tri-Stub Loaded Resonator</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012039/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Compact Tunable Balanced Dual-band Bandpass Filter Using Tri-Stub Loaded Resonator</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>This letter proposes a tunable balanced dual-band bandpass filter (BPF) with high common-mode (CM) suppression based on tri-stub loaded resonator (TSLR). Two TSLRs terminated with varactor diodes are employed to obtain the tunable second differential-mode (DM) passband, which is independent of the first one. For validation, a tunable balanced dual-band BPF is designed, fabricated and measured that achieve the continuous frequency-tuning range of the second DM passband from 5.968 to 6.368 GHz with constant 3dB fractional bandwidth (FBW) of 6.8% ± 0.17% and CM rejection levels of over 30 dB. The measured results agree well with the simulated ones.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012039">https://doi.org/10.1088/1742-6596/1914/1/012039</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012040</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012040" class="art-list-item-title"> Polarization properties of mouse oocyte captured by Mueller matrix imaging </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">M J Liu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">N Tian</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">J Yu</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Polarization properties of mouse oocyte captured by Mueller matrix imaging" data-link-purpose-append-open="Polarization properties of mouse oocyte captured by Mueller matrix imaging">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012040/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Polarization properties of mouse oocyte captured by Mueller matrix imaging</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012040/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Polarization properties of mouse oocyte captured by Mueller matrix imaging</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Non-invasive assessment of oocyte quality is of important basis in embryo transfer and other related fields. Until now, the oocyte quality assessment is mainly focus on the morphology observation. Oocyte quality is often reflected in varieties of its microstructure which can be provided by polarization imaging technology. The Mueller matrix is a label-free technique to characterize all polarization properties of samples. This paper used a Mueller matrix microscope for the first time for non-invasive imaging the mouse oocyte. By Mueller matrix analysis, we successfully examined the dichroism, phase delay and scattering depolarization of oocytes, furthermore used the above to compare the polarization properties of mouse oocytes at GV stage and MII stage and the polarization properties of matured fresh oocytes and postovulatory aged oocytes. In this paper changed phase delay were observed before and after oocyte maturation (and oocyte aging). It suggested that the Mueller matrix imaging may provide a potential breakthrough for oocyte quality assessment.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012040">https://doi.org/10.1088/1742-6596/1914/1/012040</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012041</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012041" class="art-list-item-title"> B-spline fitting of sunglasses lens contour based on adaptive sampling </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xian-guang Fan</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Ting Nie</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jie Shen</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Ying-jie Xu</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="B-spline fitting of sunglasses lens contour based on adaptive sampling" data-link-purpose-append-open="B-spline fitting of sunglasses lens contour based on adaptive sampling">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012041/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, B-spline fitting of sunglasses lens contour based on adaptive sampling</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012041/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, B-spline fitting of sunglasses lens contour based on adaptive sampling</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>To solve the problems of low accuracy and low efficiency of B-spline fitting in sunglasses lens contour cutting, a sampling method based on the characteristic function of a weighted combination of arc length and curvature square root was proposed, and then perform B-spline fitting according to the sampling points to improve the accuracy and efficiency. First, read and identify the sunglasses lens data in the DXF file, and disperse it to obtain a series of coordinate points; combine the defined feature function for uniform sampling, and adjust the parameter weight in the feature function to obtain a more reasonable sampling point for the sunglasses lens contour; Then use the LU decomposition and interpolation method to obtain the B-spline curve through all the sampling points; the maximum absolute error (MAE) and the root-mean-square error (RMSE) are used as the accuracy criteria, by increasing the number of sampling points iteratively until the accuracy is satisfied to construct a reasonable fitting curve.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012041">https://doi.org/10.1088/1742-6596/1914/1/012041</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012042</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012042" class="art-list-item-title"> Mono-pulse radar angle estimation algorithm under low signal-to-noise ratio </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Wenhao Dong</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jingyi Wang</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhiyong Song</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Mono-pulse radar angle estimation algorithm under low signal-to-noise ratio" data-link-purpose-append-open="Mono-pulse radar angle estimation algorithm under low signal-to-noise ratio">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012042/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Mono-pulse radar angle estimation algorithm under low signal-to-noise ratio</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012042/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Mono-pulse radar angle estimation algorithm under low signal-to-noise ratio</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In the case of low signal-to-noise ratio (SNR), in order to improve the angle measurement accuracy of the mono-pulse radar seeker, a target angle estimation algorithm is proposed. The algorithm takes the target angle as a state variable under the Bayesian framework, expands it to the state vector, performs state modeling and observation modeling on it, and builds a particle-based eye angle estimator, which improves the target angle estimation performance. The effectiveness of the algorithm is verified by the simulation data of the medium pulse repetition frequency radar seeker.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012042">https://doi.org/10.1088/1742-6596/1914/1/012042</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012043</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012043" class="art-list-item-title"> Simulation Study on State Estimation for a Quadrotor Generalized Attitude Model </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">H Yin</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">J C Liu</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">L H Geng</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">S H Zhao</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">T B Ayele</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Simulation Study on State Estimation for a Quadrotor Generalized Attitude Model" data-link-purpose-append-open="Simulation Study on State Estimation for a Quadrotor Generalized Attitude Model">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012043/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Simulation Study on State Estimation for a Quadrotor Generalized Attitude Model</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012043/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Simulation Study on State Estimation for a Quadrotor Generalized Attitude Model</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>This paper studies the state estimation of a quadrotor yaw-channel generalized attitude model (GAM) using the subspace identification based state estimation method under the conditions that the measurements for the control quantity and the output attitude angle are corrupted with disturbing noises and that there are no available models. The quadrotor attitude control loop for the yaw-channel is first designed by MATLAB using an observer based state feedback law. A high-order coprime factor (CF) model for the GAM is then identified from simulation data by the subspace identification method. Next, the estimation states for the GAM can be given by the similarity transform and the relations between the GAM and its CF model. Finally, the efficacy of the presented state estimation procedure and the accuracy of the state estimation are verified.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012043">https://doi.org/10.1088/1742-6596/1914/1/012043</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012044</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012044" class="art-list-item-title"> Component identification for Raman spectra with deep learning network </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xin Wang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Qi-hang Pan</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xian-guang Fan</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Ying-jie Xu</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Component identification for Raman spectra with deep learning network" data-link-purpose-append-open="Component identification for Raman spectra with deep learning network">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012044/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Component identification for Raman spectra with deep learning network</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012044/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Component identification for Raman spectra with deep learning network</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Raman spectroscopy is widely used in the research of the molecular structure of substances because of the advantages of no invasion, no damage and no interference from water. Meanwhile, component identification for mixtures is still challenging in Raman spectra. In this paper, a graphics-based sample-generating method and a model based on deep-learning for component identification was proposed. Convolution neural network (CNN) model is an important part of deep learning network and CNN models was utilized to assess the possibility of the presence of components in samples. As is shown in the comparative studies, the model was sensitive to the relative position of the characteristic peaks and could learn spectra features in mixtures. The deep-learning based component identification method showed more robustness than conventional linear fitting methods. Therefore, the method provided a valid approach to component identification for mixtures and has the potential in spectra component analysis.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012044">https://doi.org/10.1088/1742-6596/1914/1/012044</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012045</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012045" class="art-list-item-title"> Convolutional Bi-directional Long Short Term Memory Network based Dynamic Fault Diagnosis for Transformer DGA </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Lin Luo</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xiaodeng Pei</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Chen Shuai</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Convolutional Bi-directional Long Short Term Memory Network based Dynamic Fault Diagnosis for Transformer DGA" data-link-purpose-append-open="Convolutional Bi-directional Long Short Term Memory Network based Dynamic Fault Diagnosis for Transformer DGA">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012045/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Convolutional Bi-directional Long Short Term Memory Network based Dynamic Fault Diagnosis for Transformer DGA</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012045/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Convolutional Bi-directional Long Short Term Memory Network based Dynamic Fault Diagnosis for Transformer DGA</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Dissolved gas analysis (DGA) method is one of the important methods to detect early internal faults in transformers. Aiming at the shortcomings of feature extraction and online modelling in the analysis model based on shallow layer, a transformer DGA online fault diagnosis method combining convolutional neural network and bidirectional long short term memory network is proposed in this paper. By using multi-time characteristic gas data as the input of the diagnostic model, combined with convolution and pooling, the fault sensitive features were extracted, and the time dimension features were extracted by using the recursive neural network with gated structure. Under various evaluation criteria, it is compared with convolutional neural network, bidirectional long short-term memory (Bi-LSTM) network and dynamic support vector machine. The experimental results show that the online transformer diagnosis model proposed in this paper, which considers both time and space characteristics, has higher prediction accuracy.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012045">https://doi.org/10.1088/1742-6596/1914/1/012045</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012046</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012046" class="art-list-item-title"> Self-attention Mechanism based Dynamic Fault Diagnosis and Classification for Chemical Processes </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Shuai Chen</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Lin Luo</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Qilei Xia</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Lunjie Wang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Self-attention Mechanism based Dynamic Fault Diagnosis and Classification for Chemical Processes" data-link-purpose-append-open="Self-attention Mechanism based Dynamic Fault Diagnosis and Classification for Chemical Processes">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012046/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Self-attention Mechanism based Dynamic Fault Diagnosis and Classification for Chemical Processes</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012046/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Self-attention Mechanism based Dynamic Fault Diagnosis and Classification for Chemical Processes</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>A dynamic fault detection and diagnosis technique based on deep encoder-decoder network with self-attention mechanism is proposed in this paper. Although traditional encoder-decoder networks exhibit capability in extracting the temporal dependencies, the architecture encodes the input sequence into a fixed-length internal representation. This limits the performance of these networks, especially when considering relatively long input sequences. The self-attention mechanism is used to weight the local feature vectors and retain the correlation between the local information of the signal and the process operation state, so as to extract the effective feature vectors. The extracted features are then fed into the bidirectional encoder-decoder network. The resulting deep network is not only generalizing the importance of local temporal feature, but it also allows the interpretable feature representation and classification simultaneously. The experiments on the benchmark Tennessee Eastman process show that the proposed model has better diagnostic performance on receiver operating characteristic (ROC) and precise-recall (PR) curves than the classical diagnostic method based on the long-short term memory (LSTM) network with convolution layers.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012046">https://doi.org/10.1088/1742-6596/1914/1/012046</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012047</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012047" class="art-list-item-title"> Data-Level Parallelism Oriented Memory Access and On-Chip Buffering Mechanisms for a Loop Accelerator </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Weikang Zhou</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xianfeng Li</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Mingtao Chen</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yang Li</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Data-Level Parallelism Oriented Memory Access and On-Chip Buffering Mechanisms for a Loop Accelerator" data-link-purpose-append-open="Data-Level Parallelism Oriented Memory Access and On-Chip Buffering Mechanisms for a Loop Accelerator">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012047/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Data-Level Parallelism Oriented Memory Access and On-Chip Buffering Mechanisms for a Loop Accelerator</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012047/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Data-Level Parallelism Oriented Memory Access and On-Chip Buffering Mechanisms for a Loop Accelerator</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Memory access latency is always a bottleneck for the performance improvement of data-intensive applications. Exploiting the memory access patterns of Data-Level Parallelism(DLP) is a promising way for loop accelerators to reduce the latency significantly. This paper proposes two DLP-oriented data provisioning mechanisms to alleviate memory access latency: 1) DLP-oriented memory access(DoMA) for efficiently utilizes the available memory bandwidth. 2) a data access patterns aware on-chip buffer(PABUF) for exploiting reuse in a user-transparent manner. Unlike those loop accelerators using traditional DMA to access global memory, DoMA efficiently reduces the transmission of useless data by adjusting the size of requests intelligently. In addition, PABUF, which manages data using DLP's memory access patterns without software engineering efforts, allows the loop accelerators to access data in parallel. Experiments show that when our mechanisms are integrated into a loop accelerator based on Rocket Chip Coprocessor(RoCC), it can achieve 4.20x-10.65x(6.81x on average) speedups with negligible overhead of power and area compared to L1 Cache.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012047">https://doi.org/10.1088/1742-6596/1914/1/012047</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012048</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012048" class="art-list-item-title"> Global optimal solution on blending problem </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yingchun Zheng</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Global optimal solution on blending problem" data-link-purpose-append-open="Global optimal solution on blending problem">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012048/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Global optimal solution on blending problem</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012048/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Global optimal solution on blending problem</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>In order to study the algorithm of the global optimal solution of the blending problem. The general optimization model for blending problems is given in this paper, at the same time, the blending problem was transformed into the concave minimization problem and linear programming problem, the relevant proof was also given. Research shows that the blending problem is formulated as a concave minimization problem and linear programming problem, can reduce the number of variables blending problem. Blending problem is transformed into a linear programming enable blending problem solving becomes simple and easy.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012048">https://doi.org/10.1088/1742-6596/1914/1/012048</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012049</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012049" class="art-list-item-title"> A Long-term Recurrent Convolutional Network for Stock Index Prediction </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xinpeng Yu</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Dagang Li</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="A Long-term Recurrent Convolutional Network for Stock Index Prediction" data-link-purpose-append-open="A Long-term Recurrent Convolutional Network for Stock Index Prediction">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012049/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, A Long-term Recurrent Convolutional Network for Stock Index Prediction</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012049/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, A Long-term Recurrent Convolutional Network for Stock Index Prediction</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Stock index prediction aims to predict the future price of stock indexes, which plays a key role in seeking the maximum profit from stock investment. However, It has been proven to be a very difficult task because of its innate complexity, dynamics, and uncertainty. With the rapid development of deep learning, more researchers have attempted to apply nonlinear learning methods such as long short-term memory networks (LSTMs) to capture the complex patterns hidden in market trends. In this paper, we propose a Long-term Recurrent Convolutional Network (LRCN), which combines convolutional layers and long-range temporal recursion and is end-to-end trainable. In the LRCN model, the two-dimensional convolutional neural network (2D-CNN) performs convolution on the most recent region to capture local fluctuation features, and the long short-term memory (LSTM) learns the long-term temporal dependencies to improve stock index prediction. To evaluate the effectiveness of LRCN, we collected real stock market data for stock indexes S&P 500 and DJIA, and the experimental results show that the proposed LRCN can significantly outperform several existing highly competitive methods.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012049">https://doi.org/10.1088/1742-6596/1914/1/012049</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012050</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012050" class="art-list-item-title"> A comparative study on pricing methods of infrastructural assets securitization: a case study of power distributing assets of X mall </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Shaozhen Chen</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Yang Zhang</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jinlin He</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="A comparative study on pricing methods of infrastructural assets securitization: a case study of power distributing assets of X mall" data-link-purpose-append-open="A comparative study on pricing methods of infrastructural assets securitization: a case study of power distributing assets of X mall">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012050/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, A comparative study on pricing methods of infrastructural assets securitization: a case study of power distributing assets of X mall</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012050/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, A comparative study on pricing methods of infrastructural assets securitization: a case study of power distributing assets of X mall</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Although the securitization technique was wide applied in financial practice, moreover, oversea academics have abundant experience on such field, due to securitization's late introduced to China, legislate infrastructure such as the supervised legislation and the tax laws are far beyond perfect, not mention the study of the pricing theories on securitization, especially in pricing the securities which backed by such infrastructural assets as electric power distributing network, theoretic research in this area is even rare. This paper conducts a case study, taking the electric-power-distribution asset of a mall as an example, to examine three different pricing methods for valuating asset backed securities, with the purpose to explore more an appliable pricing method for infrastructure asset securitization.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012050">https://doi.org/10.1088/1742-6596/1914/1/012050</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012051</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012051" class="art-list-item-title"> Research on battlefield target recognition method based on machine learning </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jiang Yuan Zhen</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Zhou Zheng</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Lu Wei</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Lu Yuan Gen</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Research on battlefield target recognition method based on machine learning" data-link-purpose-append-open="Research on battlefield target recognition method based on machine learning">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012051/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Research on battlefield target recognition method based on machine learning</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012051/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Research on battlefield target recognition method based on machine learning</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>All articles <i>must</i> contain an abstract. The abstract text should be formatted using 10 point Times or Times New Roman and indented 25 mm from the left margin. Leave 10 mm space after the abstract before you begin the main text of your article, starting on the same page as the abstract. The abstract should give readers concise information about the content of the article and indicate the main results obtained and conclusions drawn. The abstract is not part of the text and should be complete in itself; no table numbers, figure numbers, references or displayed mathematical expressions should be included. It should be suitable for direct inclusion in abstracting services and should not normally exceed 200 words in a single paragraph. Since contemporary information-retrieval systems rely heavily on the content of titles and abstracts to identify relevant articles in literature searches, great care should be taken in constructing both.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012051">https://doi.org/10.1088/1742-6596/1914/1/012051</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012052</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012052" class="art-list-item-title"> Research on the recognition of students' classroom learning state based on facial expressions </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Qiuchen Lin</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xiangwei Lai</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="Research on the recognition of students’ classroom learning state based on facial expressions" data-link-purpose-append-open="Research on the recognition of students’ classroom learning state based on facial expressions">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012052/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, Research on the recognition of students' classroom learning state based on facial expressions</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012052/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, Research on the recognition of students' classroom learning state based on facial expressions</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>The learning state of students in the classroom can not only affect the learning effect of students, but also reflect the teaching quality of teachers. In this paper, a new image database of classroom learning state is established according to students' learning state in real classroom environment, and an improved ResNeSt network model based on spatial attention mechanism is proposed. In this method, spatial attention mechanism is introduced into the ResNeSt network, which is complementary to the channel attention thought of the original network, so as to improve the recognition accuracy of learning state images. Using this method to identify students' classroom learning state can provide a basis for teaching administrators to evaluate teachers' teaching quality, as well as provide guidance for teachers to better adjust teaching models and teaching methods, and improve teaching efficiency.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012052">https://doi.org/10.1088/1742-6596/1914/1/012052</a> </div> </div> </div> </div>   <div class="art-list-item reveal-container reveal-closed"> <div class="art-list-item-body"> <div class="indexer">012053</div> <div class="eyebrow">  <span class="offscreen-hidden">The following article is </span> <span class="red-text wd-jnl-art-collection-label">Open access</span>  </div> <div class="art-list-item-title-wrapper"> <a href="/article/10.1088/1742-6596/1914/1/012053" class="art-list-item-title"> A Survey on Recent Advances in Image Captioning </a> </div> <p class="small art-list-item-meta"><span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Feng Chen</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Xinyi Li</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Jintao Tang</span></span>, <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Shasha Li</span></span> and <span itemtype="http://schema.org/Person" itemprop="author" class="nowrap"><span itemprop="name">Ting Wang</span></span></p>   <div class="art-list-item-tools small"> <button type="button" class="reveal-trigger mr-2 nowrap"> <svg aria-hidden="true" class="fa-icon fa-icon--left fa-icon--flip" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 512"><path d="M137.4 374.6c12.5 12.5 32.8 12.5 45.3 0l128-128c9.2-9.2 11.9-22.9 6.9-34.9s-16.6-19.8-29.6-19.8L32 192c-12.9 0-24.6 7.8-29.6 19.8s-2.2 25.7 6.9 34.9l128 128z"/></svg><span class="reveal-trigger-label" data-reveal-label-alt="Close abstract" data-reveal-text="Open abstract" data-link-purpose-append="A Survey on Recent Advances in Image Captioning" data-link-purpose-append-open="A Survey on Recent Advances in Image Captioning">Open abstract</span> </button> <a href="/article/10.1088/1742-6596/1914/1/012053/meta" class="mr-2 nowrap"> <span class="icon-article"></span>View article<span class="offscreen-hidden">, A Survey on Recent Advances in Image Captioning</span> </a> <a href="/article/10.1088/1742-6596/1914/1/012053/pdf" class="mr-2 nowrap"> <span class="icon-file-pdf"></span>PDF<span class="offscreen-hidden">, A Survey on Recent Advances in Image Captioning</span> </a> </div> <div class="reveal-content"> <div class="article-text view-text-small"> <div class="article-text wd-jnl-art-abstract cf" itemprop="description"> <p>Image captioning, an interdisciplinary research field of computer vision and natural language processing, has attracted extensive attention. Image captioning aims to produce reasonable and accurate natural language sentences to describe images. It requires the captioning model to recognize objects and describe their relationships accurately. Intuitively, it is difficult for a machine to have the general image understanding ability like human beings. However, deep learning provides the basis for intelligent exploration. In this review, we will focus on recent advanced deep methods for image captioning. We classify existing methods into different categories and discuss these categories respectively; meanwhile, we discuss the related datasets and evaluation metrics. We also prospect the future research directions.</p> </div> </div> <div class="art-list-item-tools small"> <a class="mr-2" href="https://doi.org/10.1088/1742-6596/1914/1/012053">https://doi.org/10.1088/1742-6596/1914/1/012053</a> </div> </div> </div> </div>  </div> </form>  </div>  </div> </main> <div class="db2 tb2"> <div class="side-and-below">  <div class="sidebar-list" id="wd-jnl-links"> <h2 class="sidebar-list__heading">Journal links</h2> <ul class="sidebar-list__list"><li><a href="/1742-6596">Journal home</a></li> <li><a href="/1742-6596/page/scope">Journal Scope</a></li> <li><a href="http://conferenceseries.iop.org/content/organizers"target="_blank">Information for organizers</a></li> <li><a href="http://conferenceseries.iop.org/content/authors"target="_blank">Information for authors</a></li> <li><a href="https://publishingsupport.iopscience.iop.org/questions/conferences-contact-us/"target="_blank">Contact us</a></a></li> <li><a href="http://www.proceedings.com/2156.html"target="_blank">Reprint services from Curran Associates</a></li> </ul> </div>    <aside role="complementary" aria-label="Right sidebar adverts"> <div id='div-gpt-ad-1669279847892-0' style='min-width: 160px; min-height: 250px;'> <script> googletag.cmd.push(function () { googletag.display('div-gpt-ad-1669279847892-0'); }); </script> </div> </aside>   </div> </div> </div>  </div> <div data-scroll-header="" class="data-header-anchor" id="exp"></div>  <footer class="footer content-grid__full-width" data-footer-content role="contentinfo"> <nav aria-label="Further resources" class="footer__grid"> <div> <h2 class="footer__heading">IOPscience</h2> <ul class="footer__list"> <li class="footer__item"> <a class="link--colour--white" href="/journalList">Journals</a> </li> <li class="footer__item"> <a class="link--colour--white" href="/booklistinfo/home">Books</a> </li> <li class="footer__item"> <a class="link--colour--white" href="/conference-series">IOP Conference Series</a> </li> <li class="footer__item"> <a class="link--colour--white" href="/page/aboutiopscience">About IOPscience</a> </li> <li class="footer__item"> <a class="link--colour--white" href="https://ioppublishing.org/about-us/contact-us/">Contact Us</a> </li> <li class="footer__item"> <a class="link--colour--white" href="/info/page/developing-countries-access">Developing countries access</a> </li> <li class="footer__item"> <a class="link--colour--white" href="https://publishingsupport.iopscience.iop.org/open_access/">IOP Publishing open access policy</a> </li> <li class="footer__item"> <a class="link--colour--white" href="/page/accessibility">Accessibility</a> </li> </ul> </div> <div> <h2 class="footer__heading">IOP Publishing</h2> <ul class="footer__list"> <li class="footer__item"> <a class="link--colour--white" href="https://ioppublishing.org/legal/copyright/">Copyright 2024 IOP Publishing</a> </li> <li class="footer__item"> <a class="link--colour--white" href="/page/terms">Terms and Conditions</a> </li> <li class="footer__item"> <a class="link--colour--white" href="/page/disclaimer">Disclaimer</a> </li> <li class="footer__item"> <a class="link--colour--white" href="https://ioppublishing.org/legal/privacy-cookies-policy/">Privacy and Cookie Policy</a> </li> <li class="footer__item"> <a class="link--colour--white" href="https://ioppublishing.org/legal/textanddataminingpolicy/">Text and Data mining policy</a> </li> </ul> </div> <div> <h2 class="footer__heading">Publishing Support</h2> <ul class="footer__list"> <li class="footer__item"> <a class="link--colour--white" href="https://publishingsupport.iopscience.iop.org/">Authors</a> </li> <li class="footer__item"> <a class="link--colour--white" href="https://publishingsupport.iopscience.iop.org/publishing-support/reviewers/">Reviewers</a> </li> <li class="footer__item"> <a class="link--colour--white" href="https://publishingsupport.iopscience.iop.org/publishing-support/organisers/">Conference Organisers</a> </li> </ul> </div> </nav>  <div class="footer__notice"> <div class="footer__notice-inner"> <div class="footer__notice-text"> <svg aria-hidden="true" class="footer__cookie fa-icon" focusable="false" viewBox="0 0 512 512" xmlns="http://www.w3.org/2000/svg">  <path d="M257.5 27.6c-.8-5.4-4.9-9.8-10.3-10.6c-22.1-3.1-44.6 .9-64.4 11.4l-74 39.5C89.1 78.4 73.2 94.9 63.4 115L26.7 190.6c-9.8 20.1-13 42.9-9.1 64.9l14.5 82.8c3.9 22.1 14.6 42.3 30.7 57.9l60.3 58.4c16.1 15.6 36.6 25.6 58.7 28.7l83 11.7c22.1 3.1 44.6-.9 64.4-11.4l74-39.5c19.7-10.5 35.6-27 45.4-47.2l36.7-75.5c9.8-20.1 13-42.9 9.1-64.9c-.9-5.3-5.3-9.3-10.6-10.1c-51.5-8.2-92.8-47.1-104.5-97.4c-1.8-7.6-8-13.4-15.7-14.6c-54.6-8.7-97.7-52-106.2-106.8zM208 144a32 32 0 1 1 0 64 32 32 0 1 1 0-64zM144 336a32 32 0 1 1 64 0 32 32 0 1 1 -64 0zm224-64a32 32 0 1 1 0 64 32 32 0 1 1 0-64z"/> </svg> <span><strong>This site uses cookies</strong>. 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Issue 1 - Volume 1914 - Journal of Physics: Conference Series - IOPscience