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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Dong, Hongli Wang, Zidong Ho, Daniel W.C. Gao, Huijun College of Electrical and Information Engineering Daqing Petroleum Institute Daqing 163318 China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Information Systems and Computing Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Department of Mathematics University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong

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. © 2010 IEEE.

关键词： Stochastic systems

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Bayesian Monitoring of COVID-19 in Sweden

arXiv

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arXiv 2022年

作者： Marin, Robin Runvik, Håkan Medvedev, Alexander Engblom, Stefan Division of Scientific Computing Department of Information Technology Uppsala University UppsalaSE-751 05 Sweden Division of Systems and Control Department of Information Technology Uppsala University UppsalaSE-751 05 Sweden

In an effort to provide regional decision support for the public healthcare, we design a data-driven compartment-based model of COVID-19 in Sweden. From national hospital statistics we derive parameter priors, and we develop linear filtering techniques to drive the simulations given data in the form of daily healthcare demands. We additionally propose a posterior marginal estimator which provides for an improved temporal resolution of the reproduction number estimate as well as supports robustness checks via a parametric bootstrap procedure. From our computational approach we obtain a Bayesian model of predictive value which provides important insight into the progression of the disease, including estimates of the effective reproduction number, the infection fatality rate, and the regional-level immunity. We successfully validate our posterior model against several different sources, including outputs from extensive screening programs. Since our required data in comparison is easy and non-sensitive to collect, we argue that our approach is particularly promising as a tool to support monitoring and decisions within public health. © 2022, CC BY.

关键词： COVID-19

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Management of Scientific Agricultural Digital Ecosystems Based on Ecosystem Classification

Management of Scientific Agricultural Digital Ecosystems Bas...

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International Conference on Management of Large-Scale System Development (MLSD)

作者： Vladimir Kulba Viktor Medennikov Laboratory of Modular Data Processing and Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia Information and Computing Systems Department Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow Russia

The paper considers a mathematical model for managing a scientific digital ecosystem exemplified by the agriculture case; the model enables assessing the impact science exerts on the regions’ socioeconomic position in order to build an adequate response to the advanced economies’ regime of severe sanctions against Russia. For these purposes, a systemic analysis of the subject identification and classification of ecosystems was conducted to address the critical issue of determining the basic concepts and terms of the country’s digitalization.

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Software processes for the development of electronic commerce systems

Software processes for the development of electronic commerc...

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IEEE International Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications

作者： V. Gruhn M. Dubinskyy Department of E-Business Applied Telematics Faculty of Mathematics and Computer Science University of Leipzig Germany Department of Information-Computing Systems and Control Institute of Computer Information Technologies Ternopil Academy of National Economy Ukraine

The development of electronic commerce systems is subject to different conditions than that of conventional software systems. This includes the introduction of new activities to the development process and the removal of others. An adapted process must cope with important idiosyncrasies of EC system development: EC systems typically have a high degree of interaction, which makes factors like ergonomics, didactics and psychology especially important in the development of user interfaces. Typically, they also have a high degree of integration with existing software systems such as legacy or groupware systems. Integration techniques have to be selected systematically in order not to endanger the whole software development process. This article describes the development of an EC system and it generalizes salient features of the software process used. The result is a process model that can be used for other highly integrative EC system development projects. The processes described are determined by short process lifecycles, by an orientation towards integration of legacy systems and by a strict role-based cooperation approach

关键词： Electronic commerce Software systems Programming Collaborative software Application software Ergonomics Psychology User interfaces Telematics Mathematics

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On H∞ control with Multiple Packet Dropouts:Dealing with Repeated Scalar Nonlinearities

On H∞ Control with Multiple Packet Dropouts:Dealing with Re...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Hongli Dong Zidong Wang Jinling Liang Huijun Gao College of Electrical and Information Engineering Daqing Petroleum Institute Space Control and Inertial Technology Research Center Harbin Institute of Technology Department of Information Systems and Computing Brunel University Department of Mathematics Southeast University

This paper investigates the H control problem for a class of systems with repeated scalar nonlinearities and multiple packet *** nonlinear system is described by a discrete-time state equation involving repeated scalar *** multiple packet-dropout phenomenon is assumed to occur in both the senor-to-controller and the controller-to-actuator channels, and the data missing law for each individual sensor/actuator satisfies individual probabilistic distribution in the interval [0 1].An observer-based feedback controller is designed to stochastically stabilize the closed-loop control system and preserves a guaranteed H *** examples are provided to show the applicability of the proposed theoretical results.

关键词： simulation control with Multiple Packet Dropouts:Dealing with Repeated Scalar Nonlinearities

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Scientific Research Transformation Needed for Comprehensive Artificial Intelligence Implementation

Scientific Research Transformation Needed for Comprehensive ...

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International Conference on Management of Large-Scale System Development (MLSD)

作者： Viktor Medennikov Larisa Bogatyreva Information and Computing Systems Department Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russia Laboratory of modular data processing and control systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia

ISBN: (数字)9798350375718

ISBN: (纸本)9798350375725

The paper deals with complementary changes in scientific research and real economy (exemplified by the farming industry) taking place when using the holistic approach to the industry”s digital transformation resulting in the appearance of precise agrarian technologies that require a comprehensive., system-based combination of research and production resources that are able to ensure increased productivity in the industry. We demonstrate that among these new technologies, the artificial intelligence methods have a special significance. They have to, however, go through integration transformations to become standards for the proposed common digital farming management platform.

关键词： Productivity Digital transformation Large-scale systems Artificial intelligence Standards Farming

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An interpolation method of multiple terminal iterative learning control

An interpolation method of multiple terminal iterative learn...

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IEEE International Symposium on Intelligent control (ISIC)

作者： Tong Duy Son Dinh Hoa Nguyen Hyo-Sung Ahny Distributed Control and Autonomous Systems Laboratory Gwangju Institute of Science and Technology (GIST) Korea Department of Information Physics and Computing Graduate School of Information Science and Technology University of Tokyo Japan Department of Information Physics and Computing The University of Tokyo Japan Gwangju Institute of Science and Technology Gwangju KR

In this paper, we present an iterative learning control (ILC) algorithm to track specified desired multiple terminal points at given time instants. A framework to update the desired trajectories from given points is developed based on the interpolation technique. The approach shows better rate of convergence of the errors. The simulation with a satellite antenna control model is demonstrated to show the effectiveness of our approach.

关键词： Trajectory Convergence Interpolation Polynomials Antennas Algorithm design and analysis

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Intelligent Method for Identifying the Fraudulent Online Stores 8

Intelligent Method for Identifying the Fraudulent Online Sto...

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8th IEEE International Conference on Problems of Infocommunications, Science and Technology, PIC S and T 2021

作者： Lipianina-Honcharenko, Khrystyna Lukasevych-Krutnyk, Iryna Butryn-Boka, Nataliia Sachenko, Anatoliy Grodskyi, Sergii West Ukrainian National University Department of Information Computer Systems And Control Ternopil Ukraine West Ukrainian National University Department of Civil Law And Procedure Ternopil Ukraine Kazimierz Pulaski University of Technology And Humanities In Radom Department of Informatics Radom Poland Lviv Polytechnic National University Department of Electronic Computing Machines Lviv Ukraine West Ukrainian National University Department of International Relations And Diplomacy Ternopil Ukraine

ISBN: (纸本)9781665406826

There is a significant consolidation of IT fraudsters in modern conditions, so the definition of fraudulent sites is a relevant applied study. On the basis of the conducted researches the basic parameters which can be parsed from the required site of online store, namely absence or presence of the corresponding information are defined. An intelligent method for detecting fraudulent online stores has been developed, which allows automating the process of detecting fraudulent sites only by entering a link to the site. The method is implemented on the basis of machine learning classification methods: Logistic Regression (LR), Random Forest (RF), KNN, Naive Bayes (NB), Support Vector (SVM) and DecisionTree (DT). Also, each method of classification is modeled by different approaches, namely: Imbalanced;Undersampling;Oversampling;SMOTE;ADASYN. The realization of method is implemented on the basis of sites operating in Ukraine. There are 67 sites in the dataset, 45% of which are *** to the results it turned out that the best simulation estimates are based on the DecisionTree by the approach ADASYN and Random Forest by the approach Oversampling. It shows a 100% result of defining a fraudulent site. © 2021 IEEE.

关键词： Electronic commerce

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Securing the Future after Pager Bombs:Lifecycle Protection of Smart Devices via Blockchain Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2355-2358页

作者： Fei Lin Qinghua Ni Jing Yang Juanjuan Li Nan Zheng Levente Kovács Radu Prodan Mariagrazia Dotoli Qing-Long Han Fei-Yue Wang the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the School of Artificial Intelligence University of Chinese Academy of SciencesBei-jing 100049China IEEE Obuda University John von Neumann Faculty of InformaticsBecsi Str.96/bH-1034 BudapestHungary the Institute of Information Technology University of Klagenfurt9020 Klagenfurt am WortherseeAustria the Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly the School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190

THE Lebanese wireless device explosion incident has drawn widespread attention,involving devices such as pagers,walkie-talkies,and other common devices[1].This event has revealed and highlighted the security vulnerabilities in global supply chains from raw material manufacturing and distribution to the usage of devices and equipment,signaling the onset of a new wave of"supply chain warfare"[2].

关键词： Smart cycle chains

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AR Intelligent Real-time Method for Cultural Heritage Object Recognition 5

AR Intelligent Real-time Method for Cultural Heritage Object...

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5th IEEE International Conference on Advanced information and Communication Technologies, AICT 2023

作者： Pisnyi, Oleh Kit, Ivan Lipianina-Honcharenko, Khrystyna Sieck, Jurgen Sachenko, Anatoliy Dobrowolski, MacIej Sapozhnyk, Grygoriy Master's Degree in Computer Science West Ukrainian National University Ternopil Ukraine Systems and Control West Ukrainian National University Department for Information-Computing Ternopil Ukraine Hochschule für Technik und Wirtschaft Berlin Berlin Germany Research Institute for Intelligent Computer Systems West Ukrainian National University Ternopil Ukraine Kazimierz Pulaski University of Technology and Humanities in Radom Department of Informatics and Teleinformatics Radom Poland

ISBN: (纸本)9798350372571

In a world of rapid technological changes and growing interest in cultural heritage, the development of innovative tools for travelers and history enthusiasts becomes incredibly important. Even in the digital age, interactive ways of exploring historical landmarks remain relevant and attractive. In this research, an AR Intelligent Real-time Method for Cultural Heritage Object Recognition has been developed. The method is implemented through a chatbot, which, when using a smartphone's camera, recognizes objects of cultural heritage and provides descriptions of these objects. The chatbot opens up new possibilities for travelers, allowing them to enjoy history and cultural heritage using intelligent tools and augmented reality. © 2023 IEEE.

关键词： Augmented reality

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