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International Conference on Advanced computer Information Technologies (ACIT)

作者： Nadiia Vasylkiv Iryna Turchenko Lesia Dubchak Department of Information Computer Systems and Control Ternopil National Economic University Ternopil Ukraine Department of Computer Engineering Ternopil National Economic University Ternopil Ukraine

ISBN: (数字)9781728167602

ISBN: (纸本)9781728167619

A fuzzy model for estimating the impact of the IT project environment on its implementation is developed, the inputs of which are environmental factors, financial, human resources and the output is the completion of the project, which allows timely response to uncertain and risky situations for the project. The proposed fuzzy model can be used to effectively manage projects of various directions and make changes to their implementation in order to complete project work in a timely and successful manner.

关键词： Mathematical model Fuzzy logic Input variables Environmental factors Project management Computational modeling Matlab

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The Resistive Ground Fault of PWM Voltage Inverter In The EV Charging Station

Research Square

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Research Square 2021年

作者： Zurek-Mortka, Marta Szymanski, Jerzy Ryszard Lukasiewicz Research Network – Institute for Sustainable Technologies Department of Control Systems Radom26-600 Poland Kazimierz Pulaski University of Technology and Humanities Faculty of Transport Electrical Engineering and Computer Science Radom26-600 Poland

During the direct touch of the inverter output voltage, the nonsinusoidal ground currents with a basic harmonic frequency between 1.5 kHz and 16 kHz, flow via a human’s body. Here was proved that Residual Current Device (RCD) type AC/I∆n = 30 mA does not switch off the power supply when a ground current with a value of about some hundred milliamps occurs. Because RCDs do not disconnect the power supply, the touch on the inverter’s voltage is dangerous to the health and life. For the authors, RCD usage in Voltage Frequency Converters is not a good engineer practice. The article presents tests of RCD operation in the event of a ground fault during EV battery charging. © 2021, CC BY.

关键词： Charging (batteries)

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From sensing to energy savings: A comprehensive survey on integrating emerging technologies for energy efficiency in WBANs

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Digital Communications and Networks 2024年

作者： Shumaila Javaid Hamza Fahim Sherali Zeadally Bin He Department of Control Science and Engineering College of Electronics and Information Engineering Tongji University Shanghai 201804 China National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji University Shanghai 201210 China Frontiers Science Center for Intelligent Autonomous Systems Shanghai 201210 China Department of Computer Science Faculty of Computer Sciences Ilma University Karachi 75190 Pakistan College of Communication and Information University of Kentucky Lexington KY USA Academy of Computer Science & Software Engineering University of Johannesburg Johannesburg South Africa

Energy is essential for human existence, and its high consumption is a growing concern in today's technology-driven society. Global initiatives aim to reduce energy consumption and pollution by developing and deploying energy-efficient sensing technologies for long-term monitoring, control, automation, security, and interactions. Wireless Body Area Networks (WBANs) benefit a lot from the continuous monitoring capabilities of these sensing devices, which include medical sensors worn on or implanted in the human body for healthcare monitoring. Despite significant advancements, achieving energy efficiency in WBANs remains a significant challenge. A deep understanding of the WBAN architecture is essential to identify the causes of its energy inefficiency and develop novel energy-efficient solutions. We investigate energy efficiency issues specific to WBANs. We discuss the transformative impact that artificial intelligence and Machine Learning (ML) can have on achieving the energy efficiency of WBANs. Additionally, we explore the potential of emerging technologies such as quantum computing, nano-technology, biocompatible energy harvesting, and Simultaneous Wireless Information and Power Transfer (SWIPT) in enabling energy efficiency in WBANs. We focus on WBANs' architecture, hardware, and software components to identify key factors responsible for energy consumption in the WBAN environment. Based on our comprehensive review, we introduce an innovative, energy-efficient three-tier architecture for WBANs that employs ML and edge computing to overcome the limitations inherent in existing energy-efficient solutions. Finally, we summarize the lessons learned and highlight future research directions that will enable the development of energy-efficient solutions for WBANs.

关键词： Artificial intelligence Energy Healthcare Sensors Wireless body area networks

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Low-Cost Approach for Improving Video Transmission Efficiency in WVSN

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Journal of Shanghai Jiaotong university(Science) 2020年第5期25卷 600-605页

作者： LIU Min DENG Bin TANG Ying WU Minghu WANG Juan Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System.Hubei University of Technology Wuhan 430068.China Department of Electrical and Computer Engineering.Rowan University GlassboroNJ 08028USA State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Institute of Smart Education Qingdao Academy of Intelligent IndustriesQingdao 266041ShandongChina

The wireless visual sensor network(WVSN)as a new emerged intelligent visual system,has been applied in many video monitoring ***,there is still great challenge because of the limited wireless network *** resolve the problem,we propose a real-time dynamic texture approach which can detect and reduce the temporal redundancy during many successive image ***,an adaptively learning background model is improved to discover successive similar image frames from the inputting video ***,the dynamic texture model based on the singular value decomposition is adopted to distinguish foreground and background element ***,a background discarding strategy based on visual motion coherence is proposed to determine whether each image frame is streamed or *** evaluate the trade-off performance of the proposed method,it is tested on the CDW-2014 dataset,which can accurately detect the first foreground frame when the moving objects of interest appear in the field of view in the most tested dynamic scenes,and the misdetection rate of the undetected foreground frames is near to *** to the original stream,it can reduce the occupied bandwidth a lot and its computational cost is relatively lower than the state-of-the-art methods.

关键词： wireless visual sensor network(WVSN) temporal redundancy foreground background dynamic texture

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Method for determining information proximity based on spectral conversion of text documents

Method for determining information proximity based on spectr...

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2019 Models and Methods of Information systems Research Workshop, MMISR 2019

作者： Butakova, Maria A. Chernov, Andrey V. Miziukov, Grigorii S. Dean Rostov State Transport University Rostov-on-Don Russia Department of Computer Engineering and Automated Control Systems Rostov State Transport University Rostov-on-Don Russia Center of Monitoring Quality Education Rostov State Transport University Rostov-on-Don Russia

The process of identifying key information in unstructured sets of textual information is complex and multiple-aspect. In this regard various methods and technologies are being actively developed that can improve the analysis process and reduce the gap between the quality of the obtained results and the computational resources required for the analysis. This article provides an example of an alternative method for determining information proximity in large arrays of textual information. A distinctive feature of this method is the application of spectral conversion of the information and means of descriptive logic for the logical inference of analysis results of the text documents array. The main components of the method as well as conditions and statements of the logical inference of the analysis results are considered. The analysis of the obtained results based on the results of the approbation of the method is given. The obtained results clearly demonstrate the possibility of applying the method for semantic classification problems in information decision-making systems. © 2020 CEUR-WS. All rights reserved.

关键词： Quality control

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FaSTrack: A modular framework for real-time motion planning and guaranteed safe tracking

arXiv

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arXiv 2021年

作者： Chen, Mo Herbert, Sylvia L. Hu, Haimin Pu, Ye Fisac, Jaime F. Bansal, Somil Han, SooJean Tomlin, Claire J. School of Computing Science Simon Fraser University Canada Department of Mechanical and Aerospace Engineering UC San Diego United States Department of Electrical Engineering Princeton University United States Department of Electrical and Electronic Engineering University of Melbourne Australia Department of Electrical Engineering and Computer Sciences UC Berkeley United States Control and Dynamical Systems Program California Institute of Technology United States

Real-time, guaranteed safe trajectory planning is vital for navigation in unknown environments. However, real-time navigation algorithms typically sacrifice robustness for computation speed. Alternatively, provably safe trajectory planning tends to be too computationally intensive for real-time replanning. We propose FaSTrack, Fast and Safe Tracking, a framework that achieves both real-time replanning and guaranteed safety. In this framework, real-time computation is achieved by allowing any trajectory planner to use a simplified planning model of the system. The plan is tracked by the system, represented by a more realistic, higher-dimensional tracking model. We precompute the tracking error bound (TEB) due to mismatch between the two models and due to external disturbances. We also obtain the corresponding tracking controller used to stay within the TEB. The precomputation does not require prior knowledge of the environment. We demonstrate FaSTrack using Hamilton-Jacobi reachability for precomputation and three different real-time trajectory planners with three different tracking-planning model pairs. Copyright © 2021, The Authors. All rights reserved.

关键词： Trajectories

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Analysis of electromagnetic disturbances generated by an autonomous RFID-based navigation robot

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica Electrical engineering and computer science 2019年第2期63卷 112-121页

作者： Hubacz, Marcin Klepacki, Dariusz Kurylo, Kazimierz Pawlowicz, Bartosz Sabat, Wieslaw Trybus, Bartosz Faculty of Electrical and Computer Engineering Rzeszow University of Technology W. Pola 2 Rzeszow35-959 Poland Department of Electronic and Communication Systems Faculty of Electrical and Computer Engineering Rzeszow University of Technology W. Pola 2 Rzeszow35-959 Poland Department of Computer and Control Engineering Faculty of Electrical and Computer Engineering Rzeszow University of Technology W. Pola 2 Rzeszow35-959 Poland

The paper discusses the issue of EMC compatibility of autonomous navigation robots that utilize the RFID technology for surface discovery. The robots can work individually or in a group in environments equipped with RFID transponders. The need to examine EMC compatibility of such robots is pointed out, so that they can work and communicate without disturbing other devices or each other. Measurements and analysis of electromagnetic disturbances generated by a prototype of a navigation mobile robot has been carried out. Results of the measurements for the model of the robot are presented. Factors determining generation of the disturbances in the model are pointed out. © 2019 Budapest University of Technology and Economics. All rights reserved.

关键词： Mobile robots

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Investigation of Conditions for Non-degeneracy and Normality in control Problems with Equality and Inequality State Constraints

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IFAC-PapersOnLine 2020年第2期53卷 6869-6874页

作者： Aram Arutyunov Dmitry Karamzin Fernando L. Pereira Institute of Control Sciences of the Russian Academy of Science Moscow Russia Federal Research Center “Computer Science and Control” of the Russian Academy of Science Moscow Russia Research Center for Systems and Technologies (SYSTEC) Electrical and Computer Engineering Department Faculty of Engineering University of Porto 4200-465 Portugal

This work aims to investigate conditions for normality and non-degeneracy of the maximum principle for general state-constrained optimal control problems in which the state constraints are given by equalities and inequalities. Non-degeneracy is proved under a regularity condition formulated in terms of the limiting normal cone to the feasible control set. The same regularity condition implies normality of the maximum principle if one of the end-points is free.

关键词： Optimal control maximum principle state constraints

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controller synthesis to achieve robust stability against bicoprime factor uncertainty: an LMI approach

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IFAC-PapersOnLine 2020年第2期53卷 7400-7405页

作者： Mihalis Tsiakkas Alexander Lanzon Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Control Systems Centre Department of Electrical and Electronic Engineering School of Engineering University of Manchester Sackville Street Manchester M13 9PL UK

In this paper, a Linear Matrix Inequality approach is presented for synthesizing controllers that robustly stabilize a plant against Bicoprime Factor uncertainty. Following the development of the general case, non-normalized results, the usefulness of normalized Bicoprime Factorizations is studied in this context and shown to be beneficial in deducing the existence of a robustly stabilizing controller for given robust stability margin. Finally, a numerical example is provided to demonstrate the practical applicability of the developed methodology.

关键词： Robust control H-infinity control Coprime factorization Uncertainty Uncertain linear systems Iterative methods

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A Graph Neural Network-based Model with Out-of-Distribution Robustness for Enhancing Antiretroviral Therapy Outcome Prediction for HIV-1

arXiv

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arXiv 2023年

作者： Teodoro, Giulia Di Siciliano, Federico Guarrasi, Valerio Vandamme, Anne-Mieke Ghisetti, Valeria Sönnerborg, Anders Zazzi, Maurizio Silvestri, Fabrizio Palagi, Laura Sapienza University of Rome Department of Computer Control and Management Engineering Antonio Ruberti Rome00185 Italy EuResist Network Rome00152 Italy Unit of Computer Systems and Bioinformatics Department of Engineering University Campus Bio-Medico of Rome Rome00128 Italy Department of Medical Biotechnologies University of Siena Siena53100 Italy KU Leuven Department of Microbiology Immunology and Transplantation Rega Institute for Medical Research Clinical and Epidemiological Virology Leuven Belgium Center for Global Health and Tropical Medicine Instituto de Higiene e Medicina Tropical Universidade Nova de Lisboa Lisbon1349-008 Portugal Molecular Biology and Microbiology Unit Amedeo di Savoia Hospital ASL Città di Torino Turin10128 Italy Karolinska Institutet Division of Infectious Diseases Department of Medicine Huddinge Stockholm14152 Sweden Karolinska University Hospital Department of Infectious Diseases Stockholm14186 Sweden

Predicting the outcome of antiretroviral therapies (ART) for HIV-1 is a pressing clinical challenge, especially when the ART includes drugs with limited effectiveness data. This scarcity of data can arise either due to the introduction of a new drug to the market or due to limited use in clinical settings, resulting in clinical dataset with highly unbalanced therapy representation. To tackle this issue, we introduce a novel joint fusion model, which combines features from a Fully Connected (FC) Neural Network and a Graph Neural Network (GNN) in a multi-modality fashion. Our model uses both tabular data about genetic sequences and a knowledge base derived from Stanford drug-resistance mutation tables, which serve as benchmark references for deducing in-vivo treatment efficacy based on the viral genetic sequence. By leveraging this knowledge base structured as a graph, the GNN component enables our model to adapt to imbalanced data distributions and account for Out-of-Distribution (OoD) drugs. We evaluated these models’ robustness against OoD drugs in the test set. Our comprehensive analysis demonstrates that the proposed model consistently outperforms the FC model. These results underscore the advantage of integrating Stanford scores in the model, thereby enhancing its generalizability and robustness, but also extending its utility in contributing in more informed clinical decisions with limited data availability. The source code is available at https://***/federicosiciliano/*** Codes 68 © 2023, CC BY-NC-ND.

关键词： Graph neural networks

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