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Frequency features for detecting events in video sequence of video-EEG monitoring data 4

Frequency features for detecting events in video sequence of...

4th International Workshop on Photogrammetric and computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine, PSBB 2021

作者： Murashov, D. Obukhov, Yu. Kershner, I. Sinkin, M. Federal Research Center "Computer Science and Control" RAS Moscow119333 Russia Kotel'nikov Institute of Radio Engineering and Electronics RAS Moscow125009 Russia N.V. Sklifosovsky Research Institute for Emergency Medicine of Moscow Healthcare Department Moscow129090 Russia

The work is devoted to the study of the frequency features of the optical flow obtained from the video record of long-term video-electroencephalographic (video-EEG) monitoring data of patients with epilepsy. It is necessary to obtain features to recognize epileptic seizures and differentiate them from non-epileptic events. We propose to analyze the periodograms of the smoothed optical flow calculated from the fragments of the patient's video recordings. We use Welch's method to obtain periodograms. The values of the power spectral density of the optical flow at the selected frequencies will be used as features. Using the clustering algorithm, four groups of events were identified in video recordings. © Authors 2021. CC BY 4.0 License.

关键词： Optical flows

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Stabilization of Quasilinear Systems with Multiparameter Singular Perturbations 13

Stabilization of Quasilinear Systems with Multiparameter Sin...

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13th International Conference Management of Large-Scale System Development, MLSD 2020

作者： Dmitriev, Mikhail Makarov, Dmitry Moscow Institute of Physics and Technology Federal Research Center "computer Science and Control" of Ras Moscow Russia

ISBN: (纸本)9781728110943

We consider a construction of a stabilizing controller in a weakly nonlinear singularly perturbed system, where the matrix coefficients depend on state variables. The system contains groups of «slow», «fast» and «ultrafast» variables. The control is constructed by means of the SDRE approach and is based on non-linear corrections of linear composite one. © 2020 IEEE.

关键词： SDRE singularly perturbed systems stabilization

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Multi-Agent Economic Modeling Automation Technologies 9

Multi-Agent Economic Modeling Automation Technologies

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Zhukova, Aleksandra A. Pilnik, Nikolai P. Kamenev, Ivan G. Iusup-Akhunov, Batyrzhan B. Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Department of Mathematical Modelling in Economic Social and Ecological Systems Vavilov st. 44 building 2 Moscow119333 Russia Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Department of Mathematical Modelling of Economic Systems Vavilov st. 44 building 2 Moscow119333 Russia Hse University Faculty of Economic Sciences Department of Applied Economics Pokrovsky Bulvar 11 Moscow109028 Russia Fsbeihe Bauman Moscow State Technical University Department of Fundamental Sciences-11 2nd Baumanskaya street 5-1 Moscow05005 Russia The Phystech School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology 9 Institutskiy per. Moscow Region Dolgoprudny141701 Russia

ISBN: (纸本)9798350311402

Complex economic models often describe the agent's decisions, i.e. choice of some controlled variables in accordance with criteria set by agents. Unlike purely statistical ones, agent-based models allow to describe processes with different modes, in which the agent's behavior changes quali-tatively when the environment (including the actions of other agents) change. The practical use of mathematical models of complex systems with a number of interacting agents is limited by complexity of their construction and possible errors when dealing with multitude of expressions. computer tools, such as the 'Ecomod' system discussed in the article, can substantially reduce the time spent on model creation and processing, and help to coordinate the work of several researchers on the model. © 2023 IEEE.

关键词： Autonomous agents

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A Consumer Electronics-Enhanced UAV System for Agricultural Farm Tracking With Fuzzy SMO and Actuator Fault Detection control Algorithms

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IEEE Transactions on Consumer Electronics 2025年

作者： Bilal, Hazrat Aslam, Muhammad Shamrooz Tian, Yibin Ullah, Inam Ayouni, Sarra Vasilakos, Athanasios V. College of Mechatronics and Control Engineering College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China China University of Mining and Technology Artificial Intelligence Research Institute Xuzhou2211106 China Shenzhen University College of Mechatronics and Control Engineering Shenzhen518060 China Gachon University Department of Computer Engineering Seongnam13120 Korea Republic of Tashkent State University of Economics Department of Artificial Intelligence Tashkent100066 Uzbekistan Princess Nourah bint Abdulrahman University Department of Information Systems College of Computer and Information Sciences Saudi Arabia Grimstad Norway

The adoption of agricultural robots, or agrobots, has revolutionized modern farming operations, ranging from crop monitoring to automated harvesting, significantly boosting productivity. Motivated by the rapid advancements in agrobots and their integration into smart agricultural practices, this study proposes an autonomous trajectory tracking system for wheat farms using quadcopter UAVs. To address actuator fault detection, including stuck faults and partial loss of efficiency, a TSF-H∞-SMO (Takagi-Sugeno Fuzzy-based H∞ Sliding Mode Observer) fault detection framework is introduced. The approach initiates with the derivation of a TSF (Takagi-Sugeno Fuzzy) attitude control model that integrates an uncertainty term, constructed from the original nonlinear dynamics of the UAV and approximated through local linear models at four equilibrium positions. An actuator fault model is subsequently integrated to develop a comprehensive TSF-UAV model, accounting for actuator faults. The TSF-H∞-SMO is then designed using matrix coordinate transformation to enable precise fault detection. The fault detection capabilities of the TSF-H∞-SMO are evaluated through simulations on the TSF-UAV model under SISO (single-input single-output) actuator fault scenarios. The experimental results validate the proposed system, demonstrating its ability to detect a range of actuator faults accurately and promptly. The analysis reveals a proportional relationship between the amplitude of the state change and the severity of the fault, attributed to the interaction between system states and actuator flaps. This approach underscores the potential for deploying autonomous UAV-based fault detection and trajectory tracking systems in agricultural applications. Furthermore, integrating such advanced fault-tolerant control algorithms holds promise for consumer technology applications, where precision, reliability, and robustness are critical to enhancing system performance and operational efficiency. © 1

关键词： Agricultural robots

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Self-feedback LSTM regression model for real-time particle source apportionment

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Journal of Environmental sciences 2022年第4期34卷 10-20页

作者： Wei Wang Weiman Xu Shuai Deng Yimeng Chai Ruoyu Ma Guoliang Shi Bo Xu Mei Li Yue Li Trusted AI System Laboratory College of Computer ScienceNankai UniversityTianjin 300350China KLMDASR Tianjin Key Laboratory of Network and Data Security TechnologyTianjin 300350China State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and EngineeringNankai UniversityTianjin 300071China Institute of Mass Spectrometry and Atmospheric Environment Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution Jinan UniversityGuangzhou 510632China Guangdong-Hongkong-Macao Joint Laboratory of Collaborative Innovation for Environmental Quality Guangzhou 510632China

Atmospheric particulate matter pollution has attracted much wider attention *** recent years,the development of atmospheric particle collection techniques has put forwards new demands on the real-time source apportionments *** demands are summarized,in this paper,as how to set up new restraints in apportionment and how to develop a non-linear regression model to process complicated circumstances,such as the existence of secondary source and similar *** this study,we firstly analyze the possible and potential restraints in single particle source apportionment,then propose a novel three-step self-feedback long short-term memory(SF-LSTM)network for approximating the source *** proposed deep learning neural network includes three modules,as generation,scoring and refining,and regeneration *** from the scoring modules,SF-LSTM implants four loss functions representing four restraints to be followed in the apportionment,meanwhile,the regeneration module calculates the source contribution in a non-linear *** results show that the model outperforms the conventional regression methods in the overall performance of the four evaluation indicators(residual sum of squares,stability,sparsity,negativity)for the ***,in short time-resolution analyzing,SF-LSTM provides better results under the restraint of stability.

关键词： Time series Regression Self-feedback LSTM network Particle source apportionment

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Mathematical models of control in Digital Economy platforms 11th

Mathematical models of control in Digital Economy platforms

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2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence: Eleventh Annual Meeting of the BICA Society, BICA*AI 2020

作者： Budzko, Vladimir Ereshko, Felix Gorelov, Michail National Research Nuclear University MEPHI Moscow Engineering Physics Institute Kashirskoe shosse 31 Moscow115409 Russia Federal Research Center Computer Science and Control of the Russian Academy of Sciences Vavilova 44-2 Moscow119333 Russia

The article examines the problems of the functioning of economic systems in which production, distribution, exchange and consumption are carried out on the basis of digital technologies. These circumstances stimulate the creation of new economic models of interaction and management, corresponding to new information opportunities at different levels of the organizational structure of economic systems. Along with the arrays of deterministic data at the disposal of independent economic agents and management structures, there are representative volumes of data on the implementation of uncontrollable factors. Particular interest in the work is shown in agricultural technologies, which, along with the volatility of demand for products, are characterized by indefinite natural fluctuations, which requires the development of special models and specific mechanisms for coordinating activities. A series of different economic models is presented, reflecting the possibilities of creating coalitions of active agents. The issues of centralization and decentralization in the management of economic systems are also fundamental. For the analysis and synthesis of control systems, a spectrum of models of the functioning of economic agents is presented, for which various forms of information and various classes of behavior strategies are available. © 2020 Elsevier B.V.. All rights reserved.

关键词： Information management

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Coordinated control design for steering and torque-vectoring in Model-Free control structure*

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IFAC-PapersOnLine 2022年第6期55卷 496-501页

作者： Tamás Hegedűs Dániel Fényes Balázs Németh Zoltán Szabó Péter Gáspár Institute for Computer Science and Control (SZTAKI) Eötvös Loránd Research Network (ELKH) Budapest Hungary Department of Control for Transportation and Vehicle Systems Budapest University of Technology and Economics Stoczek u. 2 H-1111 Budapest Hungary

Model-Free control (MFC) approach is a novel technique to handle nonlinearities and uncertainties in control systems in order to provide enhanced performance level. The design of MFC is based on an ultra-local model, which is an approximation of the dynamics of the controlled system for a short period of time. This structure also involves a model-based robust control, which guarantees the accurate tracking performance of the closed-loop system. In this paper, a novel technique is proposed for designing the robust control for taking into account the varying characteristics of the ultra-local model. A novel modeling method is presented, which combines the original plant of the controlled system and the ultra-local model. Then, a robust control design is proposed, by which the tracking performance and the robustness of the closed-loop system can be guaranteed. The design steps and effectiveness of the proposed control strategy is demonstrated through a vehicle-oriented control problem using the high-fidelity simulation software, CarMaker.

关键词： model-free control torque vectoring automated vehicles robust control

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Mathematical modeling of evaluating the effectiveness of using RSD data in precision farming 11th

Mathematical modeling of evaluating the effectiveness of usi...

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2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence: Eleventh Annual Meeting of the BICA Society, BICA*AI 2020

作者： Budzko, Vladimir Medennikov, Viktor National Research Nuclear University MEPHI Moscow Engineering Physics Institute Kashirskoe shosse 31 Moscow115409 Russia Federal Research Center Computer Science and Control of the Russian Academy of Sciences Vavilova 44-2 Moscow119333 Russia

The tendencies of digital transformation of agriculture towards precision production of agricultural products using Earth remote sensing data, which have become one of the main drivers of the rapid development of the industry around the world, are considered. It is shown that these technologies are currently evolving from the digitalization of individual operations to the digitalization of an interconnected complex with the integration of all operations, including operations of related industries. An analysis of the problems of achieving effective implementation of digital technologies in Russia is given, as well as ways of solving them on the basis of complex, integration technologies. The transformation of agriculture into industrial production due to its digital transformation requires the development of methods for evaluating the economic efficiency of investing a new asset - precision farming technology and remote sensing of the Earth. The article presents the author's mathematical model for evaluating the economic efficiency of using these technologies. Possible options for using this model for the purpose of a scientifically grounded approach to the development of these technologies in the country are discussed. © 2020 Elsevier B.V.. All rights reserved.

关键词： Remote sensing

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A dual plasmonic core-shell Pt/[TiN@TiO_(2)]catalyst for enhanced photothermal synergistic catalytic activity of VOCs abatement

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Nano research 2022年第8期15卷 7071-7080页

作者： Anqi Li Qianpeng Zhang Shuaiqi Zhao Yanan Chong Peng Wu Yifei Li Xiaojing Jin Guangxu Chen Yongcai Qiu Shihe Yang Daiqi Ye Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control School of Environment and EnergySouth China University of TechnologyGuangzhou 510006China Department of Electronic and Computer Engineering The Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina Guangzhou HKUST Fok Ying Tung Research Institute NanshaGuangzhou 511458China State Key Laboratory of Luminescent Materials and Devices South China University of TechnologyGuangzhou 510640China Guangdong Key Lab of Nano-Micro Material Research School of Chemical Biology and Biotechnology Shenzhen Graduate SchoolPeking UniversityShenzhen 518055China

Volatile organic compounds(VOCs)are ubiquitous organic pollutants affecting atmospheric environment and human *** development of new efficient and environmentally friendly materials utilizing photothermal synergistic catalysis for purification of VOCs is still ***,we design and prepare a core–shell TiN@TiO_(2)nanostructure integrating with nanoscaled Pt(Pt/[TiN@TiO_(2)])by an attractive quenching *** strong light-harvesting capability of Pt and TiN components improve light-to-heat utilization efficiency by their intrinsic surface plasmon resonance *** TiO_(2)component upon the surface and the coexisting coupling effect of Pt0 and Pt2+enhance the photocatalytic effect of the *** a result,the catalytic performance is significantly improved with toluene(120 ppm)conversion of 100%under the gas hourly space velocity of 72,000 mL·g^(−1)·h^(−1)and light illumination of 500 mW·cm^(−2).The desired catalyst thus achieves highly efficient coupling effect of photocatalysis and light-to-heat conversion for promoting VOCs abatement.

关键词： core-shell Pt/[TiN@TiO_(2)]catalyst volatile organic compounds(VOCs)abatement photothermal synergistic catalysis full spectrum sunlight utilization

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A network-based bioinformatic analysis for identifying potential repurposable drugs for obesity avoiding hepatic steatosis side-effect

A network-based bioinformatic analysis for identifying poten...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Martina Brunetti Giulia Fiscon Alessia Di Costanzo Marcello Arca Paola Paci Department of Experimental Medicine Sapienza University of Rome Rome Italy Department of Computer Control and Management Engineering "A. Ruberti" National Research Council of Rome Sapienza University of Rome Institute for Systems Analysis and Computer Science "A. Ruberti" Rome Italy Department of Translational and Precision Medicine Policlinico Umberto I Sapienza University of Rome Rome Italy Department of Computer Control and Management Engineering "A. Ruberti" Sapienza University of Rome Rome Italy Karolinska Institutet Stockholm Sweden

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Obesity is a complex multifactorial disorder characterized by the excess accumulation of body fat that impairs human health due to the risk of developing other diseases, including cardiovascular and hepatic diseases, hypertension, diabetes, hyperlipidemia. Its spread has been progressively accelerating, resulting in an unprecedented epidemic with no significant signs of slowing down any time soon. Drug therapy via the proposal repurposing solutions can represent an actionable treatment strategy, even if the emergence of drug-induced adverse effects can affect the treatment of this pathology. In this study, we propose a network-based analysis to identify a list of drug candidates predicted to be repurposable for obesity that are unlikely to produce specific adverse side-effect, such as hepatic steatosis.

关键词： Drugs Hypertension Obesity Pathology Epidemics Medical treatment Fats Proposals Bioinformatics Diseases

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