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Zhu</title> <meta name="description" content="Search results for: Hongyu Zhu"> <meta name="keywords" content="Hongyu Zhu"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="Hongyu Zhu" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Hongyu Zhu"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 7</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Hongyu Zhu</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> Thermoplastic Composites with Reduced Discoloration and Enhanced Fire-Retardant Property</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Peng%20Cheng">Peng Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Liqing%20Wei"> Liqing Wei</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongyu%20Chen"> Hongyu Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruomiao%20Wang"> Ruomiao Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses a light-weight reinforced thermoplastic (LWRT) composite with superior fire retardancy. This porous LWRT composite is manufactured using polyolefin, fiberglass, and fire retardant additives via a wet-lay process. However, discoloration of the LWRT can be induced by various mechanisms, which may be a concern in the building and construction industry. It is commonly understood that discoloration is strongly associated with the presence of phenolic antioxidant(s) and NO<sub>x</sub>. The over-oxidation of phenolic antioxidant(s) is probably the root-cause of the discoloration (pinking/yellowing). Hanwha Azdel, Inc. developed a LWRT with fire-retardant property of ASTM E84-Class A specification, as well as negligible discoloration even under harsh conditions. In addition, this thermoplastic material is suitable for secondary processing (e.g. compression molding) if necessary. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=discoloration" title="discoloration">discoloration</a>, <a href="https://publications.waset.org/abstracts/search?q=fire-retardant" title=" fire-retardant"> fire-retardant</a>, <a href="https://publications.waset.org/abstracts/search?q=thermoplastic%20composites" title=" thermoplastic composites"> thermoplastic composites</a>, <a href="https://publications.waset.org/abstracts/search?q=wet-lay%20process" title=" wet-lay process"> wet-lay process</a> </p> <a href="https://publications.waset.org/abstracts/111655/thermoplastic-composites-with-reduced-discoloration-and-enhanced-fire-retardant-property" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111655.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">125</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Evaluation of the Matching Optimization of Human-Machine Interface Matching in the Cab</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yanhua%20Ma">Yanhua Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Lu%20Zhai"> Lu Zhai</a>, <a href="https://publications.waset.org/abstracts/search?q=Xinchen%20Wang"> Xinchen Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongyu%20Liang"> Hongyu Liang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, by understanding the development status of the human-machine interface in today's automobile cab, a subjective and objective evaluation system for evaluating the optimization of human-machine interface matching in automobile cab was established. The man-machine interface of the car cab was divided into a software interface and a hard interface. Objective evaluation method of software human factor analysis is used to evaluate the hard interface matching; The analytic hierarchy process is used to establish the evaluation index system for the software interface matching optimization, and the multi-level fuzzy comprehensive evaluation method is used to evaluate hard interface machine. This article takes Dongfeng Sokon (DFSK) C37 model automobile as an example. The evaluation method given in the paper is used to carry out relevant analysis and evaluation, and corresponding optimization suggestions are given, which have certain reference value for designers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchy%20process" title="analytic hierarchy process">analytic hierarchy process</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20comprehension%20evaluation%20method" title=" fuzzy comprehension evaluation method"> fuzzy comprehension evaluation method</a>, <a href="https://publications.waset.org/abstracts/search?q=human-machine%20interface" title=" human-machine interface"> human-machine interface</a>, <a href="https://publications.waset.org/abstracts/search?q=matching%20optimization" title=" matching optimization"> matching optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20human%20factor%20analysis" title=" software human factor analysis"> software human factor analysis</a> </p> <a href="https://publications.waset.org/abstracts/131104/evaluation-of-the-matching-optimization-of-human-machine-interface-matching-in-the-cab" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131104.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">156</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> DISGAN: Efficient Generative Adversarial Network-Based Method for Cyber-Intrusion Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hongyu%20Chen">Hongyu Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Jiang"> Li Jiang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ubiquitous anomalies endanger the security of our system con- stantly. They may bring irreversible damages to the system and cause leakage of privacy. Thus, it is of vital importance to promptly detect these anomalies. Traditional supervised methods such as Decision Trees and Support Vector Machine (SVM) are used to classify normality and abnormality. However, in some case, the abnormal status are largely rarer than normal status, which leads to decision bias of these methods. Generative adversarial network (GAN) has been proposed to handle the case. With its strong generative ability, it only needs to learn the distribution of normal status, and identify the abnormal status through the gap between it and the learned distribution. Nevertheless, existing GAN-based models are not suitable to process data with discrete values, leading to immense degradation of detection performance. To cope with the discrete features, in this paper, we propose an efficient GAN-based model with specifically-designed loss function. Experiment results show that our model outperforms state-of-the-art models on discrete dataset and remarkably reduce the overhead. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GAN" title="GAN">GAN</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20feature" title=" discrete feature"> discrete feature</a>, <a href="https://publications.waset.org/abstracts/search?q=Wasserstein%20distance" title=" Wasserstein distance"> Wasserstein distance</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20intermediate%20layers" title=" multiple intermediate layers"> multiple intermediate layers</a> </p> <a href="https://publications.waset.org/abstracts/113103/disgan-efficient-generative-adversarial-network-based-method-for-cyber-intrusion-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113103.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">129</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Research on the Calculation Method of Smartization Rate of Concrete Structure Building Construction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hongyu%20Ye">Hongyu Ye</a>, <a href="https://publications.waset.org/abstracts/search?q=Hong%20Zhang"> Hong Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Minjie%20Sun"> Minjie Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongfang%20Xu"> Hongfang Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the context of China's promotion of smart construction and building industrialization, there is a need for evaluation standards for the development of building industrialization based on assembly-type construction. However, the evaluation of smart construction remains a challenge in the industry's development process. This paper addresses this issue by proposing a calculation and evaluation method for the smartization rate of concrete structure building construction. The study focuses on examining the factors of smart equipment application and their impact on costs throughout the process of smart construction design, production, transfer, and construction. Based on this analysis, the paper presents an evaluation method for the smartization rate based on components. Furthermore, it introduces calculation methods for assessing the smartization rate of buildings. The paper also suggests a rapid calculation method for determining the smartization rate using Building Information Modeling (BIM) and information expression technology. The proposed research provides a foundation for the swift calculation of the smartization rate based on BIM and information technology. Ultimately, it aims to promote the development of smart construction and the construction of high-quality buildings in China. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20industrialization" title="building industrialization">building industrialization</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20quality%20building" title=" high quality building"> high quality building</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20construction" title=" smart construction"> smart construction</a>, <a href="https://publications.waset.org/abstracts/search?q=smartization%20rate" title=" smartization rate"> smartization rate</a>, <a href="https://publications.waset.org/abstracts/search?q=component" title=" component"> component</a> </p> <a href="https://publications.waset.org/abstracts/181557/research-on-the-calculation-method-of-smartization-rate-of-concrete-structure-building-construction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181557.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">70</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Indoor Real-Time Positioning and Mapping Based on Manhattan Hypothesis Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Linhang%20Zhu">Linhang Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongyu%20Zhu"> Hongyu Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiahe%20Liu"> Jiahe Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigated a method of indoor real-time positioning and mapping based on the Manhattan world assumption. In indoor environments, relying solely on feature matching techniques or other geometric algorithms for sensor pose estimation inevitably resulted in cumulative errors, posing a significant challenge to indoor positioning. To address this issue, we adopt the Manhattan world hypothesis to optimize the camera pose algorithm based on feature matching, which improves the accuracy of camera pose estimation. A special processing method was applied to image data frames that conformed to the Manhattan world assumption. When similar data frames appeared subsequently, this could be used to eliminate drift in sensor pose estimation, thereby reducing cumulative errors in estimation and optimizing mapping and positioning. Through experimental verification, it is found that our method achieves high-precision real-time positioning in indoor environments and successfully generates maps of indoor environments. This provides effective technical support for applications such as indoor navigation and robot control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manhattan%20world%20hypothesis" title="Manhattan world hypothesis">Manhattan world hypothesis</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20positioning%20and%20mapping" title=" real-time positioning and mapping"> real-time positioning and mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20matching" title=" feature matching"> feature matching</a>, <a href="https://publications.waset.org/abstracts/search?q=loopback%20detection" title=" loopback detection"> loopback detection</a> </p> <a href="https://publications.waset.org/abstracts/173745/indoor-real-time-positioning-and-mapping-based-on-manhattan-hypothesis-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173745.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">61</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Frame to Frameless: Stereotactic Operation Progress in Robot Time</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zengmin%20Tian">Zengmin Tian</a>, <a href="https://publications.waset.org/abstracts/search?q=Bin%20Lv"> Bin Lv</a>, <a href="https://publications.waset.org/abstracts/search?q=Rui%20Hui"> Rui Hui</a>, <a href="https://publications.waset.org/abstracts/search?q=Yupeng%20Liu"> Yupeng Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chuan%20Wang"> Chuan Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Qing%20Liu"> Qing Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongyu%20Li"> Hongyu Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Yan%20Qi"> Yan Qi</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Song"> Li Song</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective Robot was used for replacement of the frame in recent years. The paper is to investigate the safety and effectiveness of frameless stereotactic surgery in the treatment of children with cerebral palsy. Methods Clinical data of 425 children with spastic cerebral palsy were retrospectively analyzed. The patients were treated with robot-assistant frameless stereotactic surgery of nuclear mass destruction. The motor function was evaluated by gross motor function measure-88 (GMFM-88) before the operation, 1 week and 3 months after the operation respectively. The statistical analysis was performed. Results The postoperative CT showed that the destruction area covered the predetermined target in all the patients. Minimal bleeding of puncture channel occurred in 2 patient, and mild fever in 3 cases. Otherwise, there was no severe surgical complication occurred. The GMFM-88 scores were 49.1±22.5 before the operation, 52.8±24.2 and 64.2±21.4 at the time of 1 week and 3 months after the operation, respectively. There was statistical difference between before and after the operation (P<0.01). After 3 months, the total effective rate was 98.1%, and the average improvement rate of motor function was 24.3% . Conclusion Replaced the traditional frame, the robot-assistant frameless stereotactic surgery is safe and reliable for children with spastic cerebral palsy, which has positive significance in improving patients’ motor function. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cerebral%20palsy" title="cerebral palsy">cerebral palsy</a>, <a href="https://publications.waset.org/abstracts/search?q=robotics" title=" robotics"> robotics</a>, <a href="https://publications.waset.org/abstracts/search?q=stereotactic%20techniques" title=" stereotactic techniques"> stereotactic techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=frameless%20operation" title=" frameless operation"> frameless operation</a> </p> <a href="https://publications.waset.org/abstracts/167452/frame-to-frameless-stereotactic-operation-progress-in-robot-time" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167452.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">88</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Light-Weight Network for Real-Time Pose Estimation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jianghao%20Hu">Jianghao Hu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongyu%20Wang"> Hongyu Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The effective and efficient human pose estimation algorithm is an important task for real-time human pose estimation on mobile devices. This paper proposes a light-weight human key points detection algorithm, Light-Weight Network for Real-Time Pose Estimation (LWPE). LWPE uses light-weight backbone network and depthwise separable convolutions to reduce parameters and lower latency. LWPE uses the feature pyramid network (FPN) to fuse the high-resolution, semantically weak features with the low-resolution, semantically strong features. In the meantime, with multi-scale prediction, the predicted result by the low-resolution feature map is stacked to the adjacent higher-resolution feature map to intermediately monitor the network and continuously refine the results. At the last step, the key point coordinates predicted in the highest-resolution are used as the final output of the network. For the key-points that are difficult to predict, LWPE adopts the online hard key points mining strategy to focus on the key points that hard predicting. The proposed algorithm achieves excellent performance in the single-person dataset selected in the AI (artificial intelligence) challenge dataset. The algorithm maintains high-precision performance even though the model only contains 3.9M parameters, and it can run at 225 frames per second (FPS) on the generic graphics processing unit (GPU). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depthwise%20separable%20convolutions" title="depthwise separable convolutions">depthwise separable convolutions</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20pyramid%20network" title=" feature pyramid network"> feature pyramid network</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20pose%20estimation" title=" human pose estimation"> human pose estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=light-weight%20backbone" title=" light-weight backbone "> light-weight backbone </a> </p> <a href="https://publications.waset.org/abstracts/112845/light-weight-network-for-real-time-pose-estimation" class="btn btn-primary 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