Search results for: Shaoying Guo

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Guo</title> <meta name="description" content="Search results for: Shaoying Guo"> <meta name="keywords" content="Shaoying Guo"> <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" 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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="Shaoying Guo"> <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> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Shaoying Guo</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Specific Emitter Identification Based on Refined Composite Multiscale Dispersion Entropy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shaoying%20Guo">Shaoying Guo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanyun%20Xu"> Yanyun Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Meng%20Zhang"> Meng Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Weiqing%20Huang"> Weiqing Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The wireless communication network is developing rapidly, thus the wireless security becomes more and more important. Specific emitter identification (SEI) is an vital part of wireless communication security as a technique to identify the unique transmitters. In this paper, a SEI method based on multiscale dispersion entropy (MDE) and refined composite multiscale dispersion entropy (RCMDE) is proposed. The algorithms of MDE and RCMDE are used to extract features for identification of five wireless devices and cross-validation support vector machine (CV-SVM) is used as the classifier. The experimental results show that the total identification accuracy is 99.3%, even at low signal-to-noise ratio(SNR) of 5dB, which proves that MDE and RCMDE can describe the communication signal series well. In addition, compared with other methods, the proposed method is effective and provides better accuracy and stability for SEI. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cross-validation%20support%20vector%20machine" title="cross-validation support vector machine">cross-validation support vector machine</a>, <a href="https://publications.waset.org/abstracts/search?q=refined%20com-%20posite%20multiscale%20dispersion%20entropy" title=" refined com- posite multiscale dispersion entropy"> refined com- posite multiscale dispersion entropy</a>, <a href="https://publications.waset.org/abstracts/search?q=specific%20emitter%20identification" title=" specific emitter identification"> specific emitter identification</a>, <a href="https://publications.waset.org/abstracts/search?q=transient%20signal" title=" transient signal"> transient signal</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20communication%20device" title=" wireless communication device"> wireless communication device</a> </p> <a href="https://publications.waset.org/abstracts/105514/specific-emitter-identification-based-on-refined-composite-multiscale-dispersion-entropy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105514.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">1</span> Fine-Scale Modeling the Influencing Factors of Multi-Time Dimensions of Transit Ridership at Station Level: The Study of Guangzhou City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dijiang%20Lyu">Dijiang Lyu</a>, <a href="https://publications.waset.org/abstracts/search?q=Shaoying%20Li"> Shaoying Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhangzhi%20Tan"> Zhangzhi Tan</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhifeng%20Wu"> Zhifeng Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Feng%20Gao"> Feng Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, China is experiencing rapidly urban rail transit expansions in the world. The purpose of this study is to finely model factors influencing transit ridership at multi-time dimensions within transit stations’ pedestrian catchment area (PCA) in Guangzhou, China. This study was based on multi-sources spatial data, including smart card data, high spatial resolution images, points of interest (POIs), real-estate online data and building height data. Eight multiple linear regression models using backward stepwise method and Geographic Information System (GIS) were created at station-level. According to Chinese code for classification of urban land use and planning standards of development land, residential land-use were divided into three categories: first-level (e.g. villa), second-level (e.g. community) and third-level (e.g. urban villages). Finally, it concluded that: (1) four factors (CBD dummy, number of feeder bus route, number of entrance or exit and the years of station operation) were proved to be positively correlated with transit ridership, but the area of green land-use and water land-use negative correlated instead. (2) The area of education land-use, the second-level and third-level residential land-use were found to be highly connected to the average value of morning peak boarding and evening peak alighting ridership. But the area of commercial land-use and the average height of buildings, were significantly positive associated with the average value of morning peak alighting and evening peak boarding ridership. (3) The area of the second-level residential land-use was rarely correlated with ridership in other regression models. Because private car ownership is still large in Guangzhou now, and some residents living in the community around the stations go to work by transit at peak time, but others are much more willing to drive their own car at non-peak time. The area of the third-level residential land-use, like urban villages, was highly positive correlated with ridership in all models, indicating that residents who live in the third-level residential land-use are the main passenger source of the Guangzhou Metro. (4) The diversity of land-use was found to have a significant impact on the passenger flow on the weekend, but was non-related to weekday. The findings can be useful for station planning, management and policymaking. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fine-scale%20modeling" title="fine-scale modeling">fine-scale modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=Guangzhou%20city" title=" Guangzhou city"> Guangzhou city</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-time%20dimensions" title=" multi-time dimensions"> multi-time dimensions</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-sources%20spatial%20data" title=" multi-sources spatial data"> multi-sources spatial data</a>, <a href="https://publications.waset.org/abstracts/search?q=transit%20ridership" title=" transit ridership"> transit ridership</a> </p> <a href="https://publications.waset.org/abstracts/95728/fine-scale-modeling-the-influencing-factors-of-multi-time-dimensions-of-transit-ridership-at-station-level-the-study-of-guangzhou-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95728.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">142</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th 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Search results for: Shaoying Guo