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24th ACM International Conference on Information and Knowledge Management, CIKM 2015

作者： Yin, Hongzhi Zhou, Xiaofang Shao, Yingxia Wang, Hao Sadiq, Shazia University of Queensland School of Information Technology and Electrical Engineering QLD4072 Australia School of Computer Science and Technology Soochow University China School of EECS Peking University China Science and Technology on Integrated Information System Laboratory State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9781450337946

Point-of-Interest (POI) recommendation has become an important means to help people discover attractive and interesting locations, especially when users travel out of town. However, extreme sparsity of user-POI matrix creates a severe challenge. To cope with this challenge, a growing line of research has exploited the temporal effect, geographical-social influence, content effect and word-of-mouth effect. However, current research lacks an integrated analysis of the joint effect of the above factors to deal with the issue of data-sparsity, especially in the out-of-town recommendation scenario which has been ignored by most existing work. In light of the above, we propose a joint probabilistic generative model to mimic user check-in behaviors in a process of decision making, which strategically integrates the above factors to effectively overcome the data sparsity, especially for out-of-town users. To demonstrate the applicability and flexibility of our model, we investigate how it supports two recommendation scenarios in a unified way, i.e., home-town recommendation and out-of-town recommendation. We conduct extensive experiments to evaluate the performance of our model on two real large-scale datasets in terms of both recommendation effectiveness and efficiency, and the experimental results show its superiority over other competitors. © 2015 ACM.

关键词： Location based services

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Ant lion optimizer for optimal reactive power dispatch solution

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Journal of electrical systems 2015年第SPECIALISSUE3期2015卷 68-74页

作者： Mei, Rebecca Ng Shin Sulaiman, Mohd Herwan Mustaffa, Zuriani Faculty of Electrical and Electronics Engineering Universiti Malaysia Pahang Pekan Pahang26600 Malaysia Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Gambang Pahang26300 Malaysia

This paper proposes the application of the recent meta-heuristic method namely Ant Lion Optimizer (ALO) in solving Optimal Reactive Power Dispatch (ORPD) problem. The objective is to minimize the transmission losses by finding the best combination of control variables including generator voltages, transformer tap ratios and reactive compensation devices. In order to show the effectiveness of ALO in solving ORPD, IEEE 30-bus system is utilized. The comparison with other methods also reported in this paper.

关键词： Heuristic methods

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A polynomial algorithm to performance analysis of concurrent systems via petri nets and ordinary differential equations

A polynomial algorithm to performance analysis of concurrent...

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作者： Ding, Zuohua Zhou, Yuan Zhou, Meng Chu Laboratory of Intelligent Computing and Software Engineering Zhejiang Sci-Tech University Hangzhou310018 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102-1982 United States

In this paper, a new method is proposed to evaluate the performance of concurrent systems. A concurrent system consisting of multiple processes that communicate via message passing mechanisms is modeled by a Petri net, which is in turn represented by a set of ordinary differential equations (ODEs) of a restricted type. The equations describe the system state changes, and the solutions, also called state measures, can be used for the performance analysis such as estimating response time, throughput and efficiency. This method can avoid a state explosion problem encountered by the conventional methods based on Continuous-Time Markov Chains. Its application to an IBM business system is given as an example. © 2004-2012 IEEE.

关键词： Ordinary differential equations

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Training LSSVM with GWO for price forecasting

Training LSSVM with GWO for price forecasting

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International Conference on Informatics, Electronics & Vision (ICIEV)

作者： Zuriani Mustaffa Mohd Herwan Sulaiman Mohamad Nizam Mohmad Kahar Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Kuantan Pahang Malaysia Faculty of Electrical & Electronics Engineering Universiti Malaysia Pahang Pekan Pahang Malaysia

This paper presents a hybrid forecasting model namely Grey Wolf Optimizer-Least Squares Support Vector Machines (GWO-LSSVM). In this study, a great deal of attention was paid in determining LSSVM's hyper parameters. For that matter, the GWO is utilized an optimization tool for optimizing the said hyper parameters. Realized in gold price forecasting, the feasibility of GWO-LSSVM is measured based on Mean Absolute Percentage Error (MAPE) and Root Mean Square Percentage Error (RMSPE). Upon completing the simulation tasks, the comparison against two hybrid methods suggested that the GWO-LSSVM capable to produce lower forecasting error as compared to the identified forecasting techniques.

关键词： Forecasting Silicon Predictive models Optimization Gold Training Support vector machines

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Configurable simulation environment to test the navigation estimator

Configurable simulation environment to test the navigation e...

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Integrated Communications, Navigation and Surveillance Conference, ICNS

作者： Petr Bojda Jan Leuchter Electrical Computer Software and System Engineering Dept. Embry-Riddle Aeronautical University Daytona Beach FL USA Department of Radar Technology University of Defense

• demonstrate the concept of simulations prepared for the new challenges which appear with a new type of operations in the airspace • based on the state space description of the dynamic system — the AV — and is designed to allow the control over a character of the system or measurement noise. • anticipated main factor — multipath effect. The multipath propagation may affects mainly the PDF of the measurement noise.

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Real-time Cyber-Physical systems transatlantic engineering curricula framework

Real-time Cyber-Physical Systems transatlantic engineering c...

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Federated Conference on computer Science and Information systems (FedCSIS)

作者： Wojciech Grega Andrew J. Kornecki Department of Automatics and Biomedical Engineering AGH University of Science and Technology Kraków Poland Electrical Computer Software and System Engineering Embry Riddle Aeronautical University Daytona Beach FL USA

How to educate future engineers, so that they acquired new skills and competences to become developers of Cyber Physical systems (CPS)? The paper demonstrates a curriculum framework that was developed and successfully implemented some years ago, as an outcome of two international projects undertaken by a consortium of the European and American universities. The projects had focused on special category of CPS - Real-Time CPS. Examples of laboratory environment supporting education in the field of Real Time CPS are given in the paper.

关键词： Real-time systems Europe software Education Cyber-physical systems software engineering Safety

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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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Threat modeling for aviation computer security

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CrossTalk 2015年第6期28卷 21-27页

作者： Baquero, Abraham O. Kornecki, Andrew J. Zalewski, Janusz SMRT Software Corporation 422 Wekiva Rapids Dr. Altamonte SpringsFL32714 United States Electrical Computer Software and System Engineering Department Embry Riddle Aeronautical University 600 S. Clyde Morris Blvd. Daytona BeachFL32114 United States Department of Software Engineering Florida Gulf Coast University 10501 FGCU Blvd Ft. MyersFL33965 United States

The safety of aircraft cannot be analyzed anymore based only on potential hazards and failures. Due to their increasing interconnectivity, modern computer systems are exposed to a variety of security threats. Additionally, complexity of the system may be a source of vulnerabilities opening the system to malicious actions with ultimate impact on safety. Threat Modeling is the technique that assists software engineers to identify and document potential security threats associated with a software product, providing development teams a systematic way of discovering strengths and weaknesses in their software applications. Microsoft's SDL Threat Modeling Tool offers automated analysis of security threats of systems that can be represented using data flow diagrams. The article discusses issues of security in aviation and presents a case study of a realistic cyber-physical system to introduce tool-supported threat modeling method which can be used for unmanned aerial systems security analyses.

关键词： Security systems

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3D-NCuts: Adapting normalized cuts to 3D triangulated surface segmentation

3D-NCuts: Adapting normalized cuts to 3D triangulated surfac...

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9th International Conference on computer Graphics Theory and Applications, GRAPP 2014

作者： Toony, Zahra Laurendeau, Denis Giguère, Philippe Gagné, Christian Computer Vision and System Laboratory Department of Electrical and Computer Engineering Université Laval Québec QC Canada Department of Computer Science and Software Engineering Université Laval Québec QC Canada

ISBN: (纸本)9789897580024

Being able to automatically segment 3D models into meaningful parts is an important goal in 3D shape processing. In this paper, we are proposing a fast and easy-to-implement 3D segmentation approach, which is based on spectral clustering. For this purpose, we define an improved formulation of the similarity matrix which allows our algorithm to segment both free-form and CAD (computer Aided Design) 3D models. In 3D space, different shapes, such as planes and cylinders, have different surface normal distributions. We defined the similarity of vertices based on their normals which can segment a 3D model into its geometric features. Results show the effectiveness and robustness of our method in segmenting a wide range of 3D models. Even in the case of complex models, our method results in meaningful segmentations. We tested our segmentation approach on real data segmentation, in the presence of noise and also in comparison with other methods which provided good results in all cases.

关键词： computer aided design

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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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