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$H_{\infty }$ Fuzzy Fault Detection for Uncertain 2-D systems Under Round-Robin Scheduling Protocol

IEEE Transactions on systems, Man, and Cybernetics: systems 2017年第8期47卷 2172-2184页

作者： Yuqiang Luo Zidong Wang Guoliang Wei Fuad E. Alsaadi Shanghai Key Laboratory of Modern Optical System University of Shanghai for Science and Technology Shanghai China Faculty of Engineering King Abdulaziz University Jeddah Saudi Arabia Department of Computer Science Brunel University London Uxbridge U.K.

This paper is concerned with the robust H ∞ fault detection problem for a class of uncertain discrete-time nonlinear 2-D systems subject to Round-Robin scheduling protocol. The Takagi-Sugeno fuzzy model is used to approximate the nonlinearities, where the linear fractional uncertainties enter the system in a random way. A kind of widely used communication mechanism, namely, Round-Robin communication protocol, is adopted to periodically schedule the sensors and the fault detectors to realize the information exchange in order to reduce the bandwidth usage in a networked environment with limit resource. An improved 2-D fuzzy residual generator is constructed to detect the possible fault, where the stability analysis of the resulting augmented 2-D system is discussed. It is accomplished by using a combination of the basis-dependent Lyapunov-like function and the stochastic analysis techniques. Sufficient conditions are first established to guarantee the globally asymptotic stability of the error dynamics of the state estimation with prescribed H ∞ performance constraints. Then, a residual generator is proposed to detect the possible faults. The effectiveness of the developed algorithm is demonstrated via application to the fault detection problem for a thermal process.

关键词： Fault detection Protocols Uncertainty Sensors Generators Stability analysis Stochastic processes

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Design of UHF Antenna Sensor for Partial Discharge Detection in High Voltage S ubstation

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IOP Conference Series: Materials Science and Engineering 2018年第1期318卷

作者： Sharulnizam Mohd Mukhtar Muzamir Isa Azremi Abdullah Al-Hadi Faculty of Engineering Technology Universiti Malaysia Perlis Malaysia School of Electrical System Engineering Universiti Malaysia Perlis Malaysia School of Computer & Communication Engineering Universiti Malaysia Perlis Malaysia

Partial discharge early detection is a major issue in preventative maintenance. This condition is necessary to prevent greater damage in the high voltage system. The PD detection method using UHF sensors has become an attractive method because of its high sensitivity and the ability to detect the PD location. The objective of this study was to investigate the performance of an antipodal Vivaldi antenna (AVA) as the UHF sensor for the partial discharge detection. The simulation was carried out using CST Design StudioTM to analyze the optimal parameters of the antenna before it was manufactured. The result revealed that the AVA has the good capability to be used as UHF sensor for PD detection with the high sensitivity and good directivity.

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Satellite image catalog system improvement based on process innovation method

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AIP Conference Proceedings 2018年第1期1977卷

作者： Andie Setiyoko Ruci Meiyanti Nurbojatmiko Syamsudin Dana Indra Sensuse Handrie Noprisson 1Remote Sensing Technology and Data Centre LAPAN Indonesia 2e-Government and e-Business Research Lab Faculty of Computer Science University of Indonesia Indonesia 3Department of Information System Faculty of Computer Science Mercu Buana University Indonesia

Satellite imagery catalog system is developed for the user’s need regarding with the utilization of satellite imagery for various applications. The aim of the system development is the dissemination of data, particularly at the national scope. The system has been established and continuously operated until recently. In order to maintain the customer loyalty and to raise customer satisfaction, the system improvement is required. Based on user requirement analysis, the system should be improved in terms of three factors, i.e. transaction time, product derivations, and additional data processing service. The existing business process will be analyzed by adopting the system improvement. The process is categorized as business process improvement. The new version of business processes will be operated in the catalog system by applying the developed information system methods. Various methods classified as organizational-approach were analyzed in this research, and the most suitable method for improving the system is process innovation method, considering the urgent user need for regional development planning and rapid development of satellite imagery technology. The objective of this research was the improvement of satellite image catalog system by using the most suitable process innovation method for the case study. The expected result is to increase the time efficiency of satellite image data service and its processing.

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A Lesson from Past Energy Crises

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IEEE INDUSTRIAL ELECTRONICS MAGAZINE 2016年第2期10卷 59-63页

作者： Guarnieri, Massimo Graduate School of System Design Tokyo Metropolitan University Tokyo Japan Faculty of Business and Information Technology University of Ontario Institute of Technology Canada Department of Computer Science Federal University of Roraima Brazil Institute of Computing Federal University of Amazonas Brazil

After dealing with the very recent history of Moore's law in the previous issue of IEEE Industrial Electronics Magazine, I will jump far back into the past for this issue, taking the opportunity given by a present-world economic event. The recent collapse in oil prices to around US$30/barrel, after it soared in 2008 to peak at US$140/barrel, was welcomed by drivers, airlines, and transportation companies, but it is not beneficial from all points of view. The collapse causes major stresses in the financial world and weakens the awareness of the finiteness of fossil reserves and of the need for switching to renewable nonpolluting resources. Prospects such as these are not new. Nevertheless, despite the warnings launched decades ago by the models developed by several groups, starting with the system Dynamics Group of Jay Forrester at Massachusetts Institute of technology (1971) and by the Club of Rome with the Meadows' Report (1972) [1], the industrialized world has long delayed realizing the weakness of its dependence on nonrenewable resources and, more generally, on the limited availability of raw materials. The extraordinary industrial development in the United States during the two postwar periods depended, to a major extent, on the wide availability of oil at a very low cost, after geological exploration in the 1930s revealed immense oil fields in Asia (e.g., the Persian Gulf, Iran, etc.). The European choice of coal, formalized early after World War II with the institution of the European Coal and Steel Community (ECSC), pointed to a less valuable, although important, energy source. More recently, the new strong Eastern economies, notably those of China and India, have resulted a dramatic rise in oil demand that called for a keener evaluation of the limits of existing reserves. During the last few years, several governments have undertaken steady policies in support of technological research for the replacement of fossil fuels and the reduction of pollution. Thes

关键词： Iron Europe Vegetation Raw materials Coal Economics Steel

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Expression of Concern: Application and economic viability of wind turbine installation in Lutak, Iran

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Environmental Earth Sciences 2018年第1期78卷 1-1页

作者： Kasra Mohammadi Ali Mostafaeipour Ahmad Sedaghat Shahaboddin Shamshirband Dalibor Petković Department of Mechanical and Industrial Engineering University of Massachusetts Amherst USA Industrial Engineering Department Yazd University Yazd Iran Department of Mechanical Engineering Isfahan University of Technology Isfahan Iran Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department for Mechatronics and Control Faculty of Mechanical Engineering University of Niš Nis Serbia

The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows substantial indication of irregularities in authorship during the submis...

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RETRACTED: Stiffness performance of polyethylene terephthalate modified asphalt mixtures estimation using support vector machine-firefly algorithm

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Measurement 2018年 121卷 360-360页

作者： Mehrtash Soltani Taher Baghaee Moghaddam Mohamed Rehan Karim Shahaboddin Shamshirband Ch Sudheer Center for Transportation Research Department of Civil Engineering Faculty of Engineering University of Malaya 50603 Kuala Lumpur Malaysia Department of Computer Science Chalous Branch Islamic Azad University (IAU) 46615-397 Chalous Mazandaran Iran Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia Department of Civil Engineering Indian Institute of Technology Delhi New Delhi India

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Coarse-to-Fine Learning for Single-Image Super-Resolution

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IEEE Transactions on Neural Networks and Learning systems 2017年第5期28卷 1109-1122页

作者： Zhang, Kaibing Tao, Dacheng Gao, Xinbo Li, Xuelong Li, Jie School of Computer and Information Science Hubei Engineering University Xiaogan Hubei432000 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney 81 Broadway Street UltimoNSW2007 Australia State Key Laboratory of Integrated Services Networks School of Electronic Engineering Xidian University Xi'an Shaanxi710071 China State Key Laboratory of Transient Optics and Photonics Xi'An Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an Shaanxi710119 China Video and Image Processing System Laboratory School of Electronic Engineering Xidian University Xi'an Shaanxi710071 China

This paper develops a coarse-to-fine framework for single-image super-resolution (SR) reconstruction. The coarse-to-fine approach achieves high-quality SR recovery based on the complementary properties of both example learning-and reconstruction-based algorithms: example learning-based SR approaches are useful for generating plausible details from external exemplars but poor at suppressing aliasing artifacts, while reconstruction-based SR methods are propitious for preserving sharp edges yet fail to generate fine details. In the coarse stage of the method, we use a set of simple yet effective mapping functions, learned via correlative neighbor regression of grouped low-resolution (LR) to high-resolution (HR) dictionary atoms, to synthesize an initial SR estimate with particularly low computational cost. In the fine stage, we devise an effective regularization term that seamlessly integrates the properties of local structural regularity, nonlocal self-similarity, and collaborative representation over relevant atoms in a learned HR dictionary, to further improve the visual quality of the initial SR estimation obtained in the coarse stage. The experimental results indicate that our method outperforms other state-of-the-art methods for producing high-quality images despite that both the initial SR estimation and the followed enhancement are cheap to implement. © 2012 IEEE.

关键词： Optical resolving power

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Hybrid Symbiotic Organisms Search for Optimal Fuzzified Joint Reconfiguration and Capacitor Placement in Electric Distribution systems

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INAE Letters 2017年第3期2卷 107-121页

作者： Mostafa Sedighizadeh Masoud Esmaili Amir Eisapour-Moarref Faculty of Electrical and Computer Engineering Shahid Beheshti University Tehran Iran Department of Electrical Engineering West Tehran Branch Islamic Azad University Tehran Iran Centre of Excellence for Power System Automation and Operation Iran University of Science and Technology Tehran Iran

Network reconfiguration and capacitor allocation are two valuable tools to optimally manage distribution systems. In the present work, an efficient algorithm is proposed for the joint problem of reconfiguration and capacitor placement in distribution systems. The multi-objective problem is formulated to minimize objective functions of total network power losses, bus voltage violation, and branch loading deviations subject to different technical and operational constraints. To enhance exploration ability, the Symbiotic Organisms Search algorithm is strengthened with Particle Swarm Optimization capabilities to develop the Hybrid Symbiotic Organisms Search algorithm, which is applied to solve the proposed problem. Objective functions are fuzzified and aggregated by a geometric mean operator to have the same scales. The proposed joint optimization problem is solved with the introduced Hybrid Symbiotic Organisms Search algorithm in two different case studies of balanced and unbalanced test systems. According to obtained results that are compared with some well-known evolutionary algorithms, the superiority of the Hybrid Symbiotic Organisms Search algorithm is confirmed in terms of solution optimality and convergence speed.

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Blind users' assistive technology based on the Android platform

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International Journal of Innovative Computing and Applications 2017年第3期8卷 162-171页

作者： Al-Nabulsi, Jamal Ma'touq, Jumana Abdallah, Emad E. Haloubi, Tarek Manasra, Ali Biomedical Engineering Department Faculty of Engineering Hashemite University Jordan Al-Ahliyya Amman University Amman19328 Jordan Institute of Automatic Control Leibniz Universität Hannover Germany Department of Computer Information System Faculty of Information Technology Hashemite University Jordan Biomedical Engineering Department Faculty of Engineering Al-Ahliyya Amman University Jordan

Because of the wide use of smartphones in our daily activities, a wide range of mobile applications have been developed to serve as assistive technologies. However, there is a lack of applications in the Arabic language to assist disabled people. The main aim of this paper is to build a simple yet accurate Arabic language application that is capable of helping blind users in real-Time. In the proposed technology, the blind user captures a photo and records his/her voice inquiry. The query is instantly sent with the captured photo to a set of volunteers. The volunteers answer the blind user enquiries and send the answers back. Fifteen visually impaired persons and ten volunteers were used in the experimental testing. The scenarios were carefully created based on realistic situations. The subjects were then asked to answer a questionnaire to test if their queries were answered effectively and efficiently. The early results are promising because all blind users found the proposed technology useful and 80% of them wanted to use it on a daily basis. In addition, all volunteers found the application easy to use with clear instructions and 80% of them were excited about using it to assist blind users. Copyright © 2017 Inderscience Enterprises Ltd.

关键词： Mobile computing

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Big data forecasting using evolving multi-layer perceptron 4

Big data forecasting using evolving multi-layer perceptron

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4th Saudi International Conference on Information technology, KACSTIT 2016

作者： Rahmat, Romi Fadillah Rizki, Alvin Alharthi, Adil Fahad Budiarto, Rahmat Faculty of Computer Science and Information Technology University of Sumatera Utara Medan Indonesia Dept. of Computer Information System College of CS and IT Albaha University Albaha Saudi Arabia

ISBN: (纸本)9781467389563

One of the mostly used commodities in investment is gold. However, gold price tends to have fluctuation. This paper proposed an Evolving Multi-Layer Perceptron (eMLP) to forecast accurately the gold price by considering its daily fluctuate price and utilizing information from a big data of actual dataset. The proposed eMLP algorithm combines the concept of evolving connectionist system and multi-layer perceptron in neural network. This algorithm can expand its own structure based on the incoming input. An experiment was conducted using actual dataset from January 3rd, 2011 to April 26th, 2013 for training purpose and dataset from April 29th, 2013 to April 25th, 2014 for testing. Experiment results showed that the proposed eMLP gives excellent accuracy with the Mean Absolute Percentage Error (MAPE) up to 0.769% for the selected parameters: sensitivity threshold 0.9, error threshold 0.1, learning rate1 0.9, and learning rate2 0.9. © 2016 IEEE.

关键词： Forecasting

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