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Uncertainty propagation analysis of dielectric elastomer with interval parameters

science China(Physics,Mechanics & Astronomy) 2018年第5期61卷 61-64页

作者： YunLong Li XiaoJun Wang Chong Wang MengHui Xu Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Institute of Solid Mechanics Beihang University Institute of Scientific Computing Technische Universit?t Braunschweig Faculty of Mechanical Engineering & Mechanics Ningbo University

In the recent years,dielectric elastomers（DEs） have become the most popular actuators owing to their special properties such as large deformation,light weight,flexibility,and chemical and biological compatibility in... 详细信息

关键词：弹性体绝缘繁殖特殊性质致动器轻重量软材料相容性

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DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction

DeepTrust: A Deep User Model of Homophily Effect for Trust P...

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IEEE International Conference on Data Mining (ICDM)

作者： Qi Wang Weiliang Zhao Jian Yang Jia Wu Wenbin Hu Qianli Xing Department of Computing Faculty of Science and Engineering Macquarie University Sydney Australia School of Computer Wuhan University Wuhan China

Trust prediction in online social networks is crucial for information dissemination, product promotion, and decision making. Existing work on trust prediction mainly utilizes the network structure or the low-rank approximation of a trust network. These approaches can suffer from the problem of data sparsity and prediction accuracy. Inspired by the homophily theory, which shows a pervasive feature of social and economic networks that trust relations tend to be developed among similar people, we propose a novel deep user model for trust prediction based on user similarity measurement. It is a comprehensive data sparsity insensitive model that combines a user review behavior and the item characteristics that this user is interested in. With this user model, we firstly generate a user's latent features mined from user review behavior and the item properties that the user cares. Then we develop a pair-wise deep neural network to further learn and represent these user features. Finally, we measure the trust relations between a pair of people by calculating the user feature vector cosine similarity. Extensive experiments are conducted on two real-world datasets, which demonstrate the superior performance of the proposed approach over the representative baseline works.

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Review and Analyzing RFID Technology Tags and Applications

Review and Analyzing RFID Technology Tags and Applications

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International Conference on Application of Information and Communication Technologies (AICT)

作者： Ag. Asri Ag. Ibrahim Kashif Nisar Yeoh Keng Hzou Ian Welch Faculty of Computing and Informatics Malaysia Sabah Malaysia School of Engineering and Computer Science Victoria University of Wellington New Zealand

This review paper is based on Radio Frequency Identification (RFID) technology, Wireless Sensor Networks (WSNs) and wireless information & communication networks. RFID technology use for tags and readers enclosed to shop-floor industrial stuffs such as operators, terminals, vessels, stocks and Smart Home (SH) architecture that includes sensors, data communication and data integration. The system collect movement based activities data from the objects using Radio Frequency Identification (RFID) technology. Passive RFID tags can be deliver at a gap and do not require a Line of Sight Antenna (LoSA) between tag and reader. Furthermore, RFID is an another expertise with a prospective to substitute old technology such as Universal Product Code (UPC) barcodes reader over network. In this review paper also discussed why RFID is chosen between other sensors.

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A New Bandwidth Management Model using Software-Defined Networking Security Threats

A New Bandwidth Management Model using Software-Defined Netw...

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International Conference on Application of Information and Communication Technologies (AICT)

作者： Kashif Nisar Emilia Rosa Jimson Mohd. Hanafi bin Ahmad Hijazi Ag. Asri Ag. Ibrahim Yong Jin Park Ian Welch School of Engineering and Computer Science Victoria University of Wellington New Zealand Faculty of Computing and Informatics Malaysia Sabah Malaysia

Available bandwidth in network is limited, it is very critical to manage the network bandwidth efficiently. In this research, bandwidth management model based on Software-Defined Networking (SDN) architecture is examined. Through the recommended model, real-time traffic over network was given importance to approach the restricted bandwidth over non real-time traffic. SDN promises the simplification of network management compared to the traditional network. SDN architecture breaks the vertically integrated current network design and it introduces centralized network control through the SDN controller, which is considered as the greatest contribution of SDN in networking area. SDN architecture is adopted in this paper since it promotes centralized control features which enable grid programmability and supports improve network resources administration. Simulation was conducted using the EstiNet network simulator. Two groups of experiments with different situations have been conducted. Each experiment consisted of five simulations with different number of sender and receiver nodes. The first experiment simulated the traffics in a traditional networking; and the second experiment simulated the traffics in a proposed network model. In addition, bulk of the existing bandwidth was reserved to real-time traffic and the remaining quantity was reserved for non-real-time traffic. The real-time throughput results of the two different experiments have been compared to estimate the performance of the proposed SDN research model. The experiment results presented that the recommended model has successfully given urgency to real-time network traffic to approach the limited network bandwidth. As the number of nodes increases, the conventional real-time throughput of setup one and setup two decreases linearly. When nodes reach 10, the real-time ordinary throughput of setup one and setup two are 63SKBps and 473KBps respectively.

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A generic framework for editing and synthesizing multimodal data with relative emotion strength

A generic framework for editing and synthesizing multimodal ...

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作者： Chan, Jacky C. P. Shum, Hubert P. H. Wang, He Yi, Li Wei, Wei Ho, Edmond S. L. Caritas Institute of Higher Education Tseung Kwan O Hong Kong Faculty of Engineering and Environment Northumbria University Newcastle upon Tyne United Kingdom School of Computing University of Leeds Leeds United Kingdom Yilifilm Shenzhen China School of Computer Science and Engineering Xi'an University of Technology Xi'an China

Emotion is considered to be a core element in performances. In computer animation, both body motions and facial expressions are two popular mediums for a character to express the emotion. However, there has been limited research in studying how to effectively synthesize these two types of character movements using different levels of emotion strength with intuitive control, which is difficult to be modeled effectively. In this work, we explore a common model that can be used to represent the emotion for the applications of body motions and facial expressions synthesis. Unlike previous work that encode emotions into discrete motion style descriptors, we propose a continuous control indicator called emotion strength by controlling which a data-driven approach is presented to synthesize motions with fine control over emotions. Rather than interpolating motion features to synthesize new motion as in existing work, our method explicitly learns a model mapping low-level motion features to the emotion strength. Because the motion synthesis model is learned in the training stage, the computation time required for synthesizing motions at run time is very low. We further demonstrate the generality of our proposed framework by editing 2D face images using relative emotion strength. As a result, our method can be applied to interactive applications such as computer games, image editing tools, and virtual reality applications, as well as offline applications such as animation and movie production. © 2019 John Wiley & Sons, Ltd.

关键词： Computer games

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RF Rectifier with High Efficiency over a Wide Input Power Range Using a Voltage Controlled Switch in a ‘Handover’ Fashion

RF Rectifier with High Efficiency over a Wide Input Power Ra...

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Asia-Pacific Conference on Applied Electromagnetics, APACE

作者： Abdulkadir Muhammad Lawan Hieng Tiong Su Yi Lung Then Jiafeng Zhou Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Kuching Malaysia Department of Electrical Engineering and Electronics University of Liverpool Liverpool UK

ISBN: (数字)9781728121628

ISBN: (纸本)9781728121635

Wireless energy transfer gains from the option of receiving power from multiple sources with different power levels. This paper presents a rectifier that maintains good efficiency over a wide input power range at 2.45 GHz frequency using a MOSFET as the voltage controlled switch (VCS). The VCS performs a `handover' function between a low threshold voltage diode and a high breakdown voltage diode in a seamless manner without interrupting power supply to the load. This topology has only so far produced good results at lower frequencies. An L-matching network is used to achieve impedance matching over the input power range at 2.45 GHz with the help of a blocking capacitor acting as a high pass filter. Simulated results show that the rectifier can maintain its RF to DC conversion efficiency above 50% from 3 to 23.8 dBm. A peak efficiency of 73% at 16.6 dBm is also recorded.

关键词： Rectifiers MOSFET Switches Radio frequency Impedance Wireless communication Resistance

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Corrigendum to “A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment” [Applied Soft computing 143(2023) 110297]

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Applied Soft computing 2023年 149卷

作者： R.T. Mohammed A.H. Alamoodi O.S. Albahri A.A. Zaidan H.A. AlSattar Uwe Aickelin A.S. Albahri B.B. Zaidan Amelia Ritahani Ismail R.Q. Malik Department of Computing Science Faculty of Science Komar University of Science and Technology (KUST) Sulaymaniyah Iraq Department of Computing and META Technology (FKMT) Universiti Pendidikan Sultan Idris Tanjung Malim 35900 Malaysia Department of Computer Science and Information Technology La Trobe University Melbourne VIC Australia Computer Techniques Engineering Department Mazaya University College Thi-Qar Nassiriya Iraq SP Jain School of Global Management Sydney Australia Department of Business Administration College of Administrative Science The University of Mashreq 10021 Baghdad Iraq School of Computing and Information Systems University of Melbourne 700 Swanston Street Victoria 3010 Australia Iraqi Commission for Computers and Informatics (ICCI) Baghdad Iraq Department of Computer Technology Engineering College of Information Technology Imam Ja'afar Al-Sadiq University Baghdad Iraq Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Section 3 Douliou Yunlin 64002 Taiwan Kulliyyah of Information and Communication Technology (KICT) International Islamic University Malaysia Kuala Lumpur Malaysia Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University College Babylon Iraq

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The de Haas-van Alphen Effect in a Silicon Nanosandwich at the Room Temperature. Numerical Simulation of the Oscillations with Integer Filling Factors

The de Haas-van Alphen Effect in a Silicon Nanosandwich at t...

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2019 IEEE International Conference on Electrical engineering and Photonics, EExPolytech 2019

作者： Romanov, Vladimir V. Kozhevnikov, Vadim A. Tracey, Chantal T. Ermakov, Boris S. Peter the Great St.Petersburg Polytechnic University Department of Experimental Physics Saint Petersburg Russia Faculty of Engineering and Computing Kingston Jamaica Peter the Great St.Petersburg Polytechnic University Joint Institute of Science and Technology Saint Petersburg Russia

ISBN: (纸本)9781728144399

We present a study of the high-temperature de Haas-van Alphen effect in a silicon nanostructure with integer filling factors up to ν = 11, inclusively. It is shown that the observed oscillations can be described by the model of the Gaussian broadening of the Landau levels of the twodimensional density of states and an energy-independent basis. The estimation of the magnitude of the carriers effective mass appears to be 10-4 free electron mass. © 2019 IEEE.

关键词： Silicon

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Prediction of mechanical properties of non-equiatomic high-entropy alloy by atomistic simulation and machine learning

arXiv

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arXiv 2020年

作者： Zhang, Liang Qian, Kun Schuller, Björn W. Lu, Cheng Shibuta, Yasushi Huang, Xiaoxu College of Materials Science and Engineering Chongqing University Chongqing400044 China Department of Materials Engineering University of Tokyo Tokyo113-8656 Japan Educational Physiology Laboratory University of Tokyo Tokyo113-0033 Japan Department of Computing Imperial College London LondonSW72AZ United Kingdom Department of Computer Science University of Augsburg Augsburg86159 Germany Faculty of Engineering and Information Science University of Wollongong WollongongNSW2522 Australia

High-entropy alloys (HEAs) with multiple constituent elements have been extensively studied in the past 20 years due to their promising engineering application. Previous experimental and computational studies of HEAs focused mainly on equiatomic or near equiatomic HEAs. However, there is probably far more treasure in those non-equiatomic HEAs with carefully designed composition. In this study, molecular dynamics (MD) simulation combined with machine learning (ML) methods were used to predict the mechanical properties of non-equiatomic CuFeNiCrCo HEAs. A database was established based on a tensile test of 900 HEA single-crystal samples by MD simulation. We investigated and compared eight ML models for the learning tasks, ranging from shallow models to deep models. It was found that the kernel-based extreme learning machine (KELM) model outperformed others for the prediction of yield stress and Young’s modulus. The accuracy of the KELM model was further verified by the large-sized polycrystal HEA samples. Copyright © 2020, The Authors. All rights reserved.

关键词： High-entropy alloys

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A New 4-D Chaotic System with Self-Excited Two-Wing Attractor, its Dynamical Analysis and Circuit Realization 1

A New 4-D Chaotic System with Self-Excited Two-Wing Attracto...

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1st International Conference on Computer, science, engineering and Technology, ICComSET 2018

作者： Sambas, A. Vaidyanathan, S. Zhang, S. Mujiarto Mamat, M. Subiyanto Sanjaya, W. S. Mada Department of Mechanical Engineering Universitas Muhammadiyah Tasikmalaya Indonesia Research and Development Centre Vel Tech University Avadi Chennai India School of Physics and Opotoelectric Engineering Xiangtan University Hunan China Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Kuala Terengganu Malaysia Department of Marine Science Faculty of Fishery and Marine Science Universitas Padjadjaran Indonesia Department of Physics Universitas Islam Negeri Sunan Gunung Djati Bandung Indonesia

A new four-dimensional chaotic system with only two quadratic nonlinearities is proposed in this paper. It is interesting that the new chaotic system exhibits a two-wing strange attractor. The dynamical properties of the new chaotic system are described in terms of phase portraits, equilibrium points, Lyapunov exponents, Kaplan-Yorke dimension, dissipativity, etc. The new chaotic system has two saddle-foci, unstable equilibrium points. Thus, the new chaotic system exhibits self-excited attractor. Also, a detailed analysis of the new chaotic system dynamics has been carried out with bifurcation diagram and Lyapunov exponents. As an engineering application, an electronic circuit realization of the new chaotic system is designed via MultiSIM to confirm the feasibility of the theoretical 4-D chaotic model. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Chaotic systems

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