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Adaptive Control for a Class of Systems with Output Deadzone Nonlinearity

Intelligent Control and Automation 2015年第4期6卷 215-228页

作者： Nizar J. Ahmad Ebraheem K. Sultan Mohammed Q. Qasem Hameed K. Ebraheem Jasem M. Alostad Faculty of Electronic Engineering Technology College of Technological Studies The Public Authority for Applied Education and Training (PAAET) Kuwait City Kuwait Faculty of Computer Science College of Basic Education The Public Authority for Applied Education and Training (PAAET) Kuwait City Kuwait

This paper presents a continuous-time adaptive control scheme for systems with uncertain non-symmetrical deadzone nonlinearity located at the output of a plant. An adaptive inverse function is developed and used in conjunction with a robust adaptive controller to reduce the effect of deadzone nonlinearity. The deadzone inverse function is also implemented in continuous time, and an adaptive update law is designed to estimate the deadzone parameters. The adaptive output deadzone inverse controller is smoothly differentiable and is combined with a robust adaptive nonlinear controller to ensure robustness and boundedness of all the states of the system as well as the output signal. The mismatch between the ideal deadzone inverse function and our proposed implantation is treated as a disturbance that can be upper bounded by a polynomial in the system states. The overall stability of the closed-loop system is proven by using Lyapunov method, and simulations confirm the efficacy of the control methodology.

关键词： Adaptive Inverse Control Output Deadzone Hard Nonlinearity

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Coefficient estimation of the energy functional area term

Coefficient estimation of the energy functional area term

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IEEE NW Russia Young Researchers in Electrical and electronic engineering Conference (EIConRusNW)

作者： Andrey Turkin Alexander Sotnikov Dmitry Fionov Andrey Shipatov Cedric Belloc Department of Computer Science National Research University of Electronic Technology Zelenograd Moscow Russia Faculty of Computing Engineering and Sciences Staffordshire University Stoke-on-Trent UK

Many applications of computer vision, such as variation frameworks, operate using level set methods which require some unknown parameters to be chosen before evolution of the level set function. In general, the parameters should be estimated using provided data, however, in some cases, it can be defined empirically. The present work focuses on estimation of the coefficient in the energy functional that computes a weighted area of the region inside the contour and speeds up its motion toward the object boundaries. The paper discusses a new approach for the coefficient estimation comprised the image features such as mean and variance values of pixel intensities and image gradients. The advantages of the precise estimation of this parameter are following: (1) the convergence of the evaluation process is getting faster if the value of the coefficient in the weighted area term is higher that, therefore, may speed up the curve evolution; (2) the contour may pass through the object boundary in some lower contrast images if the coefficient is too large, thus the calculation of the coefficient may avoid this effect called boundary leakage. The provided result shows that the suggested approach on parameter estimation can increase the speed and quality of the convergence driving the motion of the zero level curve in images with different contrast.

关键词： Image segmentation Estimation Computational modeling Standards

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An effective far-field analysis of an electric Hertzian dipole embedded in multiple periodic structures of lossless multilayer slabs using the equivalent CCITL model

An effective far-field analysis of an electric Hertzian dipo...

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IEEE Conference on Antenna Measurements & Applications (CAMA)

作者： Supakit Kawdungta Danai Torrungrueng Prayoot Akkaraekthalin Faculty of Engineering Rajamangala University of Technology LannaChiang Mai Thailand Department of Electrical and Computer Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand Department of Electrical and Electronic Engineering Asian University Chon Buri Thailand

A Hertzian dipole embedded in multiple periodic (MP) structures of lossless multilayer slabs is effectively analyzed using the equivalent conjugately characteristic-impedance transmission-line (CCITL) model. Numerical results show that the equivalent CCITL model provides accurate results, compared to those obtained from the conventional transmission-line model. It is found that the MP structures can provide more stopbands and can be used to improve the directivity as well.

关键词： Periodic structures Metamaterials Nonhomogeneous media Microstrip antennas Substrates Dispersion

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An efficient algorithm of frequent itemsets mining based on MapReduce

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Journal of Information and Computational Science 2014年第8期11卷 2809-2816页

作者： Wang, Le Feng, Lin Zhang, Jing Liao, Pengyu School of Computer Science and Technology Faculty of Electronic Information and Electrical Engineering and School of Innovation and Experiment Dalian University of Technology Dalian 116024 China

Mainstream parallel algorithms for mining frequent itemsets (patterns) were designed by implementing FP-Growth or Apriori algorithms on MapReduce (MR) framework. Existing MR FP-Growth algorithms can not distribute data equally among nodes, and MR Apriori algorithms utilize multiple map/reduce procedures and generate too many key-value pairs with value of 1;these disadvantages hinder their performance. This paper proposes an algorithm FIMMR: it firstly mines local frequent itemsets for each data chunk as candidates, applies prune strategies to the candidates, and then identifies global frequent itemsets from candidates. Experimental results show that the time efficiency of FIMMR outperforms PFP and SPC significantly;and under small minimum support threshold, FIMMR can achieve one order of magnitude improvement than the other two algorithms;meanwhile, the speedup of FIMMR is also satisfactory. Copyright © 2014 Binary Information Press.

关键词： MapReduce

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Carbon nanotubes TSV grown on an electrically conductive ZrN support layer

Carbon nanotubes TSV grown on an electrically conductive ZrN...

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IEEE International Conference on Interconnect technology

作者： Sten Vollebregt Sourish Banerjee Frans D. Tichelaar Ryoichi Ishihara Delft Netherlands Faculty of Electrical Engineering Computer Science and Mathemathics Laboratory of Electronic Components Technology and Materials Semiconductor Components group MESA+ Institute for Nanotechnology Faculty of Applied Sciences Kavli Institute of Nanoscience

Carbon nanotubes (CNT) are an attractive alternative filler material for through silicon vias (TSV) due to their high aspect ratio, attractive mechanical and thermal properties and high current carrying capability. Theoretically they can outperform Cu in terms of via resistance. Until now all CNT TSV reported in the literature were fabricated using electrically isolating catalyst support layers. In this work we demonstrate the growth of CNT with aspect ratios up to 35 on electrically conductive ZrN layers. This was used to fabricate the first CNT TSV which are directly contacted by metal thin-films on both sides of the CNT bundle, instead of resorting to the use of probe needles.

关键词： Silicon Conductivity Carbon nanotubes Probes Contact resistance Iron

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Local binary pattern face recognition based on subspace learning

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Journal of Computational and Theoretical Nanoscience 2015年第11期12卷 4873-4880页

作者： Zhao, Hongwei Wu, Bin Feng, Lin School of Computer Science and Technology Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian Liaoning Province116024 China School of Innovation Experiment Dalian University of Technology Dalian Liaoning Province116024 China Information and Engineering College of Dalian University Dalian Liaoning Province116622 China

To extract effective and reliable characteristic is the emphasis of research on the human recognition. In this paper, firstly, by using principal component analysis (PCA) to reduce the dimension of feature vector, so as not only to ensure the dimension of the feature data as low as possible, but also as far as possible to maintain the information difference retaining in the original data. Next, the local binary pattern (LBP) widely used in texture recognition has been introduced to face recognition, for face classification less variety, LBP and its derivative operator demonstrates better recognition rate. In order to reflect the structural characteristics of human face, this paper has also carried out the block processing, and through this procedure its experimental recognition rate is obviously better than the recognition rate of that untreated. © 2015 American Scientific Publishers.

关键词： Principal component analysis

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Achieving Authorized and Ranked Multi-keyword Search over Encrypted Cloud Data

Achieving Authorized and Ranked Multi-keyword Search over En...

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IEEE International Conference on Communications

作者： Hongwei Li Dongxiao Liu Kun Jia Xiaodong Lin School of Computer Science and Engineering University of Electronic Science and Technology of China China State Key Laboratory of Information Security Chinese Academy of Sciences Beijing Faculty of Business and Information Technology University of Ontario Institute of Technology Canada

In cloud computing, it is important to protect user data. Thus, data owners usually encrypt their data before outsourcing them to the cloud server for security and privacy concerns. At the same time, very often users need to find data for specific keywords of interest to them. This motivates the research on the searchable encryption technique, which allows the search user to search over the encrypted data. Many mechanisms have been proposed, and are mainly focusing on the symmetric searchable encryption (SSE) technique. However, they do not consider the search authorization problem that requires the cloud server only to return the search results to authorized users. In this paper, we propose an authorized and ranked. multi-keyword search scheme (ARMS) over encrypted cloud data by leveraging the ciphertext policy attribute-based encryption (CP-ABE) and SSE techniques. Security analysis demonstrates that the proposed ARMS scheme can achieve confidentiality of documents, trapdoor unlinkability and collusion resistance. Extensive experiments show that the ARMS is more superior and efficient than existing approaches in terms of functionalities and computational overhead.

关键词： Servers Sun Indexes Authorization Encryption

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Efficient e-health data release with consistency guarantee under differential privacy

Efficient e-health data release with consistency guarantee u...

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： Hongwei Li Yuanshun Dai Xiaodong Lin School of Computer Science and Engineering University of Electronic Science and Technology of China China State Key Laboratory of Information Security Chinese Academy of Sciences Beijing Faculty of Business and Information Technology University of Ontario Institute of Technology Canada

ISBN: (纸本)9781467383264

E-health data release, which answers the statistical queries of the electronic Health Records (EHRs), has been widely adopted in modern health care services. However, since the EHRs contain sensitive information of the patients, the data release procedure may lead to the leakage of the privacy of patients if it is done without necessary protection measures in place. On addressing this, existing research literature introduces differential privacy to provide the necessary privacy guarantee. However, it is not suitable in sensitive e-health environments because it lacks the efficiency for data processing and updating. In this paper, we propose an efficient e-health data release scheme with consistency guarantee under differential privacy. Specifically, we improve the performance of the previous work by designing a new private partition algorithm of histogram and also proposing a heuristic hierarchical query method. We conduct real experiments and compare our scheme with the existing one to show that the proposal is more efficient in terms of data processing and updating. Moreover, we increase the accuracy of data release through consistency and give proof of privacy to show that the proposed algorithm is under ϵ-differential privacy.

关键词： Privacy Histograms Partitioning algorithms Data privacy Databases Vegetation Inference algorithms

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Taxonomy of interactive computer-based visualisation systems and content for the mining industry - Part 2

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Transactions of the Institutions of Mining and Metallurgy, Section A: Mining technology 2015年第2期124卷 83-96页

作者： Stothard, P. Squelch, A. Stone, R. Van Wyk, E. Kizil, M. Schofield, D. Fowle, K. WASM Curtin University KalgoorlieWA Australia WASM Curtin University PerthWA Australia Human Interface Technologies Team School of Electronic Electrical and Systems Engineering University of Birmingham Edgbaston West MidlandsB15 2TT United Kingdom Faculty of ICT Department of Web and Multimedia Computing Tshwane University of Technology South Africa School of Engineering University of Queensland St. LuciaQLD Australia Department of Computer Science State University of New York OswegoNY United States ARK PerthWA Australia

This is the second paper of a series authored by a collaboration of international researchers. It develops taxonomy for computer-based virtual reality simulators of relevance to the mining industry. A summary is presented of simulator types implemented in the industry, and continuums are used to explain concepts and issues that affect simulator development and integration. The paper classifies simulators and demonstrates that there are potentially many simulator formats still to be realised and implemented by the mining industry. Simulator issues that are often overlooked such as human factors, cognitive load and development costs and their impact on the development of sustainable simulator technologies are considered in some detail. Barriers to development and integration are mentioned, and the need for industry to engage with university-level research and develop a uniform and integrated approach are discussed. Finally, a brief case study is presented and conclusions are drawn about the current status and sustainability of simulator development in the mining industry. © 2015 Institute of Materials, Minerals and Mining and The AusIMM.

关键词： Virtual reality

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