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Search results for: Yongtao Sun

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class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/abstracts/search"> <div 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="Yongtao Sun"> <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> 3</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Yongtao Sun</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Intelligent System of the Grinding Robot for Spiral Welded Pipe</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Getachew%20Demeissie%20Ayalew">Getachew Demeissie Ayalew</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongtao%20Sun"> Yongtao Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=Yang%20Yang"> Yang Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The spiral welded pipe manufacturing industry requires strict production standards for automated grinders for welding seams. However, traditional grinding machines in this sector are insufficient due to a lack of quality control protocols and inconsistent performance. This research aims to improve the quality of spiral welded pipes by developing intelligent automated abrasive belt grinding equipment. The system has equipped with six degrees of freedom (6 DOF) KUKA KR360 industrial robots, enabling concurrent grinding operations on both internal and external welds. The grinding robot control system is designed with a PLC, and a human-machine interface (HMI) system is employed for operations. The system includes an electric speed controller, data connection card, DC driver, analog amplifier, and HMI for input data. This control system enables the grinding of spiral welded pipe. It ensures consistent production quality and cost-effectiveness by reducing the product life cycle and minimizing risks in the working environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Intelligent%20Systems" title="Intelligent Systems">Intelligent Systems</a>, <a href="https://publications.waset.org/abstracts/search?q=Spiral%20Welded%20Pipe" title=" Spiral Welded Pipe"> Spiral Welded Pipe</a>, <a href="https://publications.waset.org/abstracts/search?q=Grinding" title=" Grinding"> Grinding</a>, <a href="https://publications.waset.org/abstracts/search?q=Industrial%20Robot" title=" Industrial Robot"> Industrial Robot</a>, <a href="https://publications.waset.org/abstracts/search?q=End-Effector" title=" End-Effector"> End-Effector</a>, <a href="https://publications.waset.org/abstracts/search?q=PLC%20Controller%20System" title=" PLC Controller System"> PLC Controller System</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%0D%0ALaser%20Sensor" title=" 3D Laser Sensor"> 3D Laser Sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=HMI." title=" HMI."> HMI.</a> </p> <a href="https://publications.waset.org/abstracts/175922/intelligent-system-of-the-grinding-robot-for-spiral-welded-pipe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175922.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">296</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> The Effect of Fibre Orientation on the Mechanical Behaviour of Skeletal Muscle: A Finite Element Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christobel%20Gondwe">Christobel Gondwe</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongtao%20Lu"> Yongtao Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=Claudia%20Mazz%C3%A0"> Claudia Mazz脿</a>, <a href="https://publications.waset.org/abstracts/search?q=Xinshan%20Li"> Xinshan Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Skeletal muscle plays an important role in the human body system and function by generating voluntary forces and facilitating body motion. However, The mechanical properties and behaviour of skeletal muscle are still not comprehensively known yet. As such, various robust engineering techniques have been applied to better elucidate the mechanical behaviour of skeletal muscle. It is considered that muscle mechanics are highly governed by the architecture of the fibre orientations. Therefore, the aim of this study was to investigate the effect of different fibre orientations on the mechanical behaviour of skeletal muscle.In this study, a continuum mechanics approach鈥揻inite element (FE) analysis was applied to the left bicep femoris long head to determine the contractile mechanism of the muscle using Hill鈥檚 three-element model. The geometry of the muscle was segmented from the magnetic resonance images. The muscle was modelled as a quasi-incompressible hyperelastic (Mooney-Rivlin) material. Two types of fibre orientations were implemented: one with the idealised fibre arrangement, i.e. parallel single-direction fibres going from the muscle origin to insertion sites, and the other with curved fibre arrangement which is aligned with the muscle shape.The second fibre arrangement was implemented through the finite element method; non-uniform rational B-spline (FEM-NURBs) technique by means of user material (UMAT) subroutines. The stress-strain behaviour of the muscle was investigated under idealised exercise conditions, and will be further analysed under physiological conditions. The results of the two different FE models have been outputted and qualitatively compared. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=FEM-NURBS" title="FEM-NURBS">FEM-NURBS</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20analysis" title=" finite element analysis"> finite element analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Mooney-Rivlin%20hyperelastic" title=" Mooney-Rivlin hyperelastic"> Mooney-Rivlin hyperelastic</a>, <a href="https://publications.waset.org/abstracts/search?q=muscle%20architecture" title=" muscle architecture"> muscle architecture</a> </p> <a href="https://publications.waset.org/abstracts/22810/the-effect-of-fibre-orientation-on-the-mechanical-behaviour-of-skeletal-muscle-a-finite-element-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22810.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">479</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> Multi-Impairment Compensation Based Deep Neural Networks for 16-QAM Coherent Optical Orthogonal Frequency Division Multiplexing System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ying%20Han">Ying Han</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuanxiang%20Chen"> Yuanxiang Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongtao%20Huang"> Yongtao Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jia%20Fu"> Jia Fu</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaile%20Li"> Kaile Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Shangjing%20Lin"> Shangjing Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianguo%20Yu"> Jianguo Yu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In long-haul and high-speed optical transmission system, the orthogonal frequency division multiplexing (OFDM) signal suffers various linear and non-linear impairments. In recent years, researchers have proposed compensation schemes for specific impairment, and the effects are remarkable. However, different impairment compensation algorithms have caused an increase in transmission delay. With the widespread application of deep neural networks (DNN) in communication, multi-impairment compensation based on DNN will be a promising scheme. In this paper, we propose and apply DNN to compensate multi-impairment of 16-QAM coherent optical OFDM signal, thereby improving the performance of the transmission system. The trained DNN models are applied in the offline digital signal processing (DSP) module of the transmission system. The models can optimize the constellation mapping signals at the transmitter and compensate multi-impairment of the OFDM decoded signal at the receiver. Furthermore, the models reduce the peak to average power ratio (PAPR) of the transmitted OFDM signal and the bit error rate (BER) of the received signal. We verify the effectiveness of the proposed scheme for 16-QAM Coherent Optical OFDM signal and demonstrate and analyze transmission performance in different transmission scenarios. The experimental results show that the PAPR and BER of the transmission system are significantly reduced after using the trained DNN. It shows that the DNN with specific loss function and network structure can optimize the transmitted signal and learn the channel feature and compensate for multi-impairment in fiber transmission effectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coherent%20optical%20OFDM" title="coherent optical OFDM">coherent optical OFDM</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20neural%20network" title=" deep neural network"> deep neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-impairment%20compensation" title=" multi-impairment compensation"> multi-impairment compensation</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20transmission" title=" optical transmission"> optical transmission</a> </p> <a href="https://publications.waset.org/abstracts/134219/multi-impairment-compensation-based-deep-neural-networks-for-16-qam-coherent-optical-orthogonal-frequency-division-multiplexing-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134219.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">143</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 foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">&copy; 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