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Accuracy Analysis of a Covariance Matching Method for Continuous-time Errors-in-variables System Identification *

IFAC Proceedings Volumes 2012年第16期45卷 1383-1388页

作者： Torsten Söderström Yasir Irshad Magnus Mossberg Wei Xing Zheng Division of Systems and Control Department of Information Technology Uppsala University P O Box 337 SE-75105 Uppsala Sweden Department of Physics and Electrical Engineering Karlstad University SE-65188 Karlstad Sweden School of Computing and Mathematics University of Western Sydney Penrith South DC NSW 1797 Australia

A covariance matching method for continuous-time errors-in-variables system identification from discrete-time data is analyzed. The asymptotic normalized covariance matrix, valid for a large number of data and a small sampling interval, is evaluated. This involves the evaluation of a covariance matrix of estimated covariance elements and estimated derivatives of such elements, and large parts of the paper are devoted to this task.

关键词： Continuous-time systems errors-in-variables systems parameter estimation covariance matching accuracy analysis

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Intelligent System of Distance Education of Engineers, Based on Modern Innovative Technologies

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Procedia - Social and Behavioral Sciences 2016年 228卷 229-236页

作者： Galina Samigulina Zarina Samigulina Chief of the laboratory “Intellectual systems and forecasting” Institute of Information and Computing Technologies str. Pushkeen 125. Almaty 050010 Kazakhstan Department “Automation and control” Institute of Information and Telecommunication Technologies Kazakh National Research Technical University named after K.I. Satpayev str. Satpaev 22 Almaty 050013 Kazakhstan

Nowadays, distance education is a promising direction for the training of engineers. There was developed the intellectual system of distance education for the training of qualified specialists of technical specialties on the expensive modern equipment in the laboratories of collective use. Processing of personal data for the purpose of selecting an individual educational plan for each student is based on the biological approach of artificial immune systems.

关键词： Higher education institution distance education organizational learning intellectual technologies artificial immune systems laboratories of a common use.

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MILESTONE REPORT COORDINATING COMMITTEE ON COMPUTER control

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IFAC Proceedings Volumes 2002年第1期35卷 217-225页

作者： Henk B. Verbruggen Jaehyun Park Wolfgang Halang George Irwin Janusz Zalewski Faculty of Information Technology and systems Delft University of Technology Delft the Netherlands Department of Automation Engineering Inha University Inchon Korea Faculty of Electrical Engineering Fern Universität Hagen Germany Intelligent Control and Systems Group School of Electrical and Electronic Engineering Queen's University Belfast UK Department of Electrical and Computing Engineering University of Central Florida Orlando USA

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An empirical analysis of social interaction on tobacco-oriented social networks

An empirical analysis of social interaction on tobacco-orien...

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2013 International Conference for Smart Health, ICSH 2013

作者： Liang, Yunji Zheng, Xiaolong Zeng, Daniel Dajun Zhou, Xingshe Leischow, Scott School of Computer Science Northwestern Polytechnical University Xi'an China Department of Management Information System University of Arizona Tucson AZ United States State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China Mayo Clinic in Arizona Phoenix AZ United States

ISBN: (纸本)9783642398438

Social media is widely utilized in the tobacco control campaigns. It is a great challenge to evaluate the efficiency of tobacco control policies on social network sites and find gaps among tobacco-oriented social networks. In this paper, we construct three tobacco-oriented social networks according to user interaction on Facebook tobacco-related fan pages. We further investigate the interaction patterns including temporal distribution and interaction patterns to reveal the differences of tobacco-oriented social networks. Our empirical analysis demonstrates that: 1) the user interaction on the pro-tobacco fan pages is more active. Fan pages for tobacco promotion are more successful in obtaining more user attention. 2) The gap between tobacco promotion and tobacco control is widening. These empirical results can provide us significant insights into understanding the evolutionary patterns of social interaction in tobacco-oriented social networks and further help the government departments of tobacco control to make reasonable decisions. © 2013 Springer-Verlag.

关键词： Tobacco

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GB-RC4: Effective brute force attacks on RC4 algorithm using GPU 7

GB-RC4: Effective brute force attacks on RC4 algorithm using...

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7th International Green and Sustainable computing Conference, IGSC 2016

作者： Xue, Pei Li, Tao Dong, Han Liu, Chunbo Ma, Wenjing Pei, Songwen College of Computer and Control Engineering Nankai University Tianjin300071 China Information Security Evaluation Center Civil Aviation University of China Tianjin300300 China Laboratory of Parallel Software and Computational Science State Key Laboratory of Computing Science Institute of Software CAS Beijing China Shanghai Key Lab of Modern Optical Systems Department of Computer Science and Engineering University of Shanghai for Science and Technology Shanghai200093 China

ISBN: (纸本)9781509051175

Encryption algorithms are applied to a variety of fields and the security of encryption algorithms depends heavily on the computational infeasibility of exhaustive key-space search. RC4 algorithm has an extensive application for stream encryption, however, the disadvantages of traditional RC4 serial algorithm are large computational quantity and slow computation speed, which means a great challenge for throughput of computing system. Graphics processors recently have been widely used as accelerators for high throughput computing. In this paper, GPU is used to improve the efficiency and performance of attacking RC4 algorithm. First, we revised RC4 algorithm to make it easier to parallelize on a GPU. Then we take advantage of constant memory and shared memory in GPU to search the key space of RC4 algorithm efficiently. Besides, we solved the bank conflict problem in shared memory to further improve the performance. Our approach was evaluated in the whole key space of 40-bit, and the results show it can complete searching of the whole key space within 12.8 hours. © 2016 IEEE.

关键词： Graphics processing unit

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GA-based on-line optimization of CAN message scheduling

GA-based on-line optimization of CAN message scheduling

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Mediterranean Conference on control and Automation (MED)

作者： D. Duzanec Z. Stare Z. Kovacic Ziegler d.o.o. Construction and Development Department Zagreb Croatia Department of Electronic Systems and Information Processing University of Zagreb Faculty of EE&C Croatia Department of Control and Computing Engineering University of Zagreb Faculty of EE&C Zagreb Croatia

In this paper we describe a design and implementation of an on-line scheduling algorithm for controller area network (CAN) messages that exploits properties of genetic algorithms (GA) to achieve global message throughput optimization. The use of GA-based scheduler has been found effective even in time-critical distributed control systems, such as the considered control system that encompasses several control subsystems at the fire fighting vehicle. The experimental results show that the GA-optimized CAN message scheduler considerably decreased the average message queuing time.

关键词： control systems Algorithm design and analysis Scheduling algorithm Genetic algorithms Throughput Design optimization Time factors Distributed control Fires Vehicles

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A Multiple Vehicles Routing Problem Algorithm with Stochastic Demand

A Multiple Vehicles Routing Problem Algorithm with Stochasti...

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World Congress on Intelligent control and Automation (WCICA)

作者： Jianhua Fan Xiufeng Wang Hongyun Ning School of Electronic Information and Control Engineering Beijing Polytechnic University Beijing School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA Department of Chemical and Bioengineering University of Illinois Chicago IL USA

A heuristic algorithm for multiple vehicles routing problem with stochastic demand is proposed and the goal is to minimize the total traveling cost. Two-phase method is adopted to deal with this problem. In the first phase, an algorithm is proposed to partition customers into clusters, and the main task of the second phase is to design an effective routing through each cluster of customers to minimize the total expected traveling cost. Both the a priori strategy and the reoptimization strategy are used to obtain the optimal routing. The experiment results indicate that this method can produce solutions of good quality and is an effective algorithm for the multiple vehicles routing problem with stochastic demand

关键词： Routing Stochastic processes Clustering algorithms Vehicle safety Partitioning algorithms Costs Vehicle driving Councils information technology Computer science

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Robust finite-horizon filtering of time-varying networked systems with error variance constraints

Robust finite-horizon filtering of time-varying networked sy...

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International Conference on control and Automation (ICCA)

作者： Hongli Dong Zidong Wang Daniel W. C. Ho Huijun Gao College of Electrical and Information Engineering Daqing Petroleum Institute Daqing China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK Department of Mathematics City University of Hong Kong Hong Kong China

ISBN: (纸本)9781424451951

In this paper, the robust finite-horizon filtering problem is investigated for a class of uncertain nonlinear discrete time-varying stochastic systems with multiple missing measurements and error variance constraints. The stochastic nonlinearities are described by statistical means which can cover several classes of well-studied nonlinearities. The measurement missing phenomenon is also considered. Sufficient conditions are derived for a finite-horizon filter to satisfy the estimation error variance constraints. These conditions are expressed in terms of the feasibility of a series of recursive linear matrix inequalities (RLMIs). An illustrative simulation example is given to show the the effectiveness of the proposed algorithm.

关键词： Robustness Filtering Time varying systems Stochastic systems Space technology Linear matrix inequalities Robust control Error correction Stochastic processes Filters

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Optimized Ensemble Algorithm for Predicting Metamaterial Antenna Parameters

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Computers, Materials & Continua 2022年第6期71卷 4989-5003页

作者： El-Sayed M.El-kenawy Abdelhameed Ibrahim Seyedali Mirjalili Yu-Dong Zhang Shaima Elnazer Rokaia M.Zaki Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Centre for Artificial Intelligence Research and Optimization Torrens University AustraliaFortitude ValleyQLD 4006Australia Yonsei Frontier Lab Yonsei UniversitySeoul03722Korea School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Nile Higher Institute for Engineering and Technology MansouraEgypt Computer and Information Technology College Taif UniversityTaifSaudi Arabia Higher Institute of Engineering and Technology Kafrelsheikh Department of Electrical Engineering Shoubra Faculty of EngineeringBenha UniversityEgypt

Metamaterial Antenna is a subclass of antennas that makes use of metamaterial to improve *** antennas can overcome the bandwidth constraint associated with tiny *** learning is receiving a lot of interest in optimizing solutions in a variety of *** learning methods are already a significant component of ongoing research and are anticipated to play a critical role in today’s *** accuracy of the forecast is mostly determined by the model *** purpose of this article is to provide an optimal ensemble model for predicting the bandwidth and gain of the Metamaterial *** Vector Machines(SVM),Random Forest,K-Neighbors Regressor,and Decision Tree Regressor were utilized as the basic *** Adaptive Dynamic Polar Rose Guided Whale Optimization method,named AD-PRS-Guided WOA,was used to pick the optimal features from the *** suggested model is compared to models based on five variables and to the average ensemble *** findings indicate that the presented model using Random Forest results in a Root Mean Squared Error(RMSE)of(0.0102)for bandwidth and RMSE of(0.0891)for *** is superior to other models and can accurately predict antenna bandwidth and gain.

关键词： Metamaterial antenna machine learning ensemble model feature selection guided whale optimization support vector machines

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Automation 5.0: The Key to systems Intelligence and Industry 5.0

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

AUTOMATION has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“Automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： Automation machinery intelligence

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