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第43届中国控制会议

作者： Dong Yang Xun Lang Jiande Wu Yumin Lang Lei Xie Hongye Su Department of Electronic Engineering School of Information Yunnan University Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan University State Key Laboratory of Industrial Control Technology Zhejiang University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

In the process industry, limit cycles are mostly induced by stiction-related nonlinearity in control valves, severely deteriorating control loop performance. Such problem highlights the importance of compensating for oscillations due to valve stiction. To this end, this work introduces an improved PI controller(IPIC) for stiction compensation, which retains the advantages of the traditional PI controller with fewer adjustment parameters. The enhancement involves nonlinear variation of the integral gain based on instantaneous error. Additionally, a differential evolution algorithm is utilized for controller *** to state-of-the-art methods in setpoint tracking, disturbance rejection, and robustness to parameter uncertainties, the proposed approach exhibits superior performance.

关键词： Stiction Limit Cycle Nonlinear PI controller Differential Evolution Algorithm

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Heuristic Fuzzy control of Traffic Junctions in Urban Areas 7

Heuristic Fuzzy Control of Traffic Junctions in Urban Areas

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7th International Conference on Big Data, Knowledge and control systems Engineering, BdKCSE 2021

作者： Vatchova, Boriana Boneva, Yordanka Gegov, Alexander Institute of Information and Communication Technologies Bulgarian Academy of Sciences Department of Distributed Information and Control Systems Sofia Bulgaria University of Portsmouth School of Computing Portsmouth United Kingdom

ISBN: (纸本)9781665410427

The paper describes the design and implementation of a heuristic fuzzy controller for traffic management in urban areas. The controller uses expert knowledge for the derivation of its fuzzy rules. The proposed controller is simulated and compared to a conventional proportional controller by means of the software platform for traffic management AIMSUN. © 2021 IEEE.

关键词： controllers

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Optimized Weighted Ensemble Using Dipper Throated Optimization Algorithm in Metamaterial Antenna

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Computers, Materials & Continua 2022年第12期73卷 5771-5788页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Faten Khalid Karim Sameer Alshetewi Abdelhameed Ibrahim Abdelaziz AAbdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt General Information Technology Department Ministry of DefenseThe Executive AffairsExcellence Services DirectorateRiyadh11564Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

Metamaterial Antennas are a type of antenna that uses metamaterial to enhance *** bandwidth restriction associated with small antennas can be solved using metamaterial *** learning is gaining popularity as a way to improve solutions in a range of *** learning approaches are currently a big part of current research,and they’re likely to be huge in the *** model utilized determines the accuracy of the prediction in large *** goal of this paper is to develop an optimized ensemble model for forecasting the metamaterial antenna’s bandwidth and *** basic models employed in the developed ensemble are Support Vector Regression(SVR),K-NearestRegression(KNR),Multi-Layer Perceptron(MLP),Decision Trees(DT),and Random Forest(RF).The percentages of contribution of these models in the ensemble model are weighted and optimized using the dipper throated optimization(DTO)*** choose the best features from the dataset,the binary(bDTO)algorithm is *** proposed ensemble model is compared to the base models and results are recorded and analyzed *** addition,two other ensembles are incorporated in the conducted experiments for *** ensembles are average ensemble and K-nearest neighbors(KNN)-based *** comparison is performed in terms of eleven evaluation *** evaluation results confirmed the superiority of the proposed model when compared with the basic models and the other ensemble models.

关键词： Metamaterial antenna dipper throated optimization feature selection parameters prediction

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Thermal Residue-Based Password Attacks and the Ways to Counteract the Same

Thermal Residue-Based Password Attacks and the Ways to Count...

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Siberian Conference on control and Communications (SIBCON)

作者： Elizaveta A. Prozorova Department of Integrated Information Security of Electronic Computing Systems Tomsk State University of Control Systems and Radioelectronics (TUSUR) Tomsk Russia

ISBN: (纸本)9781665476294

This article covers possible password attacks, describing thermal residue-based post factum password attacks and the ways to counteract the same, with test results provided as to the possibility of intercepting a password with a thermal imager. In the process of work theoretical material was studied, the methodology of testing the possibility of intercepting passwords, PIN-codes and graphic keys by residual heat trace was developed. The task of testing was that on different models of keyboards, as well as on a smartphone, a set of different combinations of characters, PIN codes and graphic keys was produced, then, using a thermal imager of the UNI-T model UTi260B photographs of the residual thermal trace were taken. The pictures were taken at different distances from the keyboard and after different times of typing the combinations of characters. In the course of this experiment, it was found that it is possible to obtain a sufficiently clear image within one minute after entering the password. However, in order to most successfully reproduce the sequence of the typed characters, the image should be made as early as possible. If the image is taken within fifteen seconds after the password has been entered, success in reproducing the character sequence is achieved in most cases. After thirty seconds, accuracy drops, and after forty-five seconds or more, it becomes increasingly difficult to reproduce the text. In cases of decryption of a graphical key, a similar heat attack makes it possible to reproduce the correct key form even forty seconds after input, as long as the key lines are not superimposed. As a result of the research, methods for counteracting residual heat trace attacks on passwords have been identified and formulated.

关键词： Heating systems Graphics Codes Fingers Keyboards Passwords Pins

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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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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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Path Planning and information Protection of Mobile Robots Based on Deceptive Reinforcement Learning 23rd

Path Planning and Information Protection of Mobile Robots Ba...

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23rd IFToMM China International Conference on Mechanism and Machine Science and Engineering, IFToMM CCMMS 2022

作者： Xu, Qingfeng Shi, Yingnan Wang, Junchao Miller, Tim Xu, Hangding Wang, Tianmu Lin, Hongbin Liu, Xin-Jun Nie, Zhenguo Ths State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing100084 China Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipments and Control Tsinghua University Beijing100084 China School of Computing and Information Systems Melbourne School of Engineering University of Melbourne Melbourne3000 Australia School of Mathematics and Information Science Guangzhou University Guangzhou510006 China

ISBN: (纸本)9789811993978

Mobile robots have been widely used in military and other fields. By observing the path of the mobile robot, it is easy to infer the destination of its path. However, in some special situations, the user of the mobile robot does not want to reveal its purpose information, such as carrying out military attacks, sneak reconnaissance missions, etc. In order to protect the mobile robot's path information from being leaked, we combine the reinforcement learning path planning method to propose a computationally efficient deceptive reinforcement learning mobile robot path planning method. The path planned by this method balances the path cost and the target deception weight, making it difficult for observers observing the mobile robot path to predict the real target of the mobile robot, while ensuring a lower path cost for the mobile robot. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Mobile robots

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Integration of Earth Remote Sensing Data on the Digital Platform of Russian Agriculture 7

Integration of Earth Remote Sensing Data on the Digital Plat...

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7th IEEE International Conference on information Technology and Nanotechnology, ITNT 2021

作者： Medennikov, Victor Raikov, Alexander Federal Research Center 'Informatics and Control' of the Russian Academy of Sciences Information and Computing Systems Department 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: (纸本)9781665432177

The paper addresses the state and development trends of Earth remote sensing technologies, which currently are becoming one of the main tools of accelerating the development of precision farming technologies and technologies for improving management in related industries. The authors show that these technologies are developing from the digitalization of elementary operations to the digitalization of the complete complex of all operations based on an architectural approach, end-to-end digital and cloud technologies. The paper proposes a scientific basis for integrating Earth remote sensing data into a single digital platform for agriculture in Russia, substantiated using mathematical and ontological modelling of digital platforms for managing the industry's economy. © 2021 IEEE.

关键词： Agriculture

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Adaptive Dynamic Dipper Throated Optimization for Feature Selection in Medical Data

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Computers, Materials & Continua 2023年第4期75卷 1883-1900页

作者： Ghada Atteia El-Sayed M.El-kenawy Nagwan Abdel Samee Mona M.Jamjoom Abdelhameed Ibrahim Abdelaziz A.Abdelhamid Ahmad Taher Azar Nima Khodadadi Reham A.Ghanem Mahmoud Y.Shams Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Faculty of Computers and Artificial Intelligence Benha UniversityBenha13518Egypt College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Civil Engineering University of Science and TechnologyMiami33101USA Department of Civil and Environmental Engineering Florida International UniversityMiamiUSA Oral Biology Department Faculty of Oral and Dental MedicineDelta University for Science and TechnologyGamasaEgypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt

The rapid population growth results in a crucial problem in the early detection of diseases inmedical *** all the cancers unveiled,breast cancer is considered the second most severe ***,an exponential rising in death cases incurred by breast cancer is expected due to the rapid population growth and the lack of resources required for performing medical *** recent advances in machine learning could help medical staff in diagnosing diseases as they offer effective,reliable,and rapid responses,which could help in decreasing the death *** this paper,we propose a new algorithm for feature selection based on a hybrid between powerful and recently emerged optimizers,namely,guided whale and dipper throated *** proposed algorithm is evaluated using four publicly available breast cancer *** evaluation results show the effectiveness of the proposed approach from the accuracy and speed *** prove the superiority of the proposed algorithm,a set of competing feature selection algorithms were incorporated into the conducted *** addition,a group of statistical analysis experiments was conducted to emphasize the superiority and stability of the proposed *** best-achieved breast cancer prediction average accuracy based on the proposed algorithm is 99.453%.This result is achieved in an average time of 3.6725 s,the best result among all the competing approaches utilized in the experiments.

关键词： Medical dataset breast cancer guided whale optimizer dipper throated optimizer feature selection meta-heuristics

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Mathematical Model of Managing the Agricultural Holdings in Building a Digital Platform 14

Mathematical Model of Managing the Agricultural Holdings in ...

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14th International Conference Management of Large-Scale System Development, MLSD 2021

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

ISBN: (纸本)9781665412308

This work presents the original proprietary mathematical model for interregional agricultural holding management relying on the harmonized digital platform of the Russian agrarian sector that allows conceiving the general formalized approach to the strategic direction of various integrated establishments within the sector. The approach provides a theoretical substantiation for harmonized approaches to the long-term digital transformation of major agricultural associations followed by medium and small businesses. © 2021 IEEE.

关键词： Agriculture

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