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Safe position detection based on safety system-on-chip (SSOC) for wireless IoT application

International Journal of Circuits, Systems and Signal Processing 2020年 14卷 1040-1046页

作者： Börcsök, Josef Hafiz, Muhammad Ikram Alsuleiman, Ahmed Schwarz, Michael Abdelawwad, Mohamed ICAS Institute for Computer Architecture and System Programming University of Kassel Kassel Germany

— Cyber Physical Systems (CPS) are predestined for use in Industry 4.0 applications. However, the interaction between the virtual and physical world also creates risks that is essential to be controlled. In highly automated industrial systems, for example, robots are used in confined spaces together with working humans. The risk posed by such systems endangers, among others, the people working there. This paper presents an approach to ensure the safety of the situation described above, which makes the workspace of industrial robots safer by implementing a safe workspace detection system. This system comprises several detection sensors implemented in a 2oo3 safety architecture and a Safety System on a Chip (SSoC) based on a safe 1oo2 system architecture. The safety-related redundancy provided by the detection and calculation elements enables a safe position detection of the robotic arm in the 3-dimensional space. The presented system monitors the position of the robotic arm and thus supports the safety of the surrounding objects and the people working there by leading to a safe standstill or to a reduced speed of movement of the robot as soon as the defined and permitted working space is left. © 2020, North Atlantic University Union NAUN. All rights reserved.

关键词： System theory

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The Study of the Dispersion and Phase Velocity of Love Waves 41

The Study of the Dispersion and Phase Velocity of Love Waves

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41st IEEE International Conference on Electronics and Nanotechnology, ELNANO 2022

作者： Porkuian, Olga Morkun, Volodymyr Morkun, Natalia Pikilnyak, Andrii Gaponenko, Alena Gaponenko, Irina Bobrov, Evhen Vesnin, Artem Volodymyr Dahl East Ukrainian National University Department of Programming and Mathematics Severodonetsk Ukraine Kryvyi Rih National University Department of Automation Computer Science and Technology Kryvyi Rih Ukraine Kryvyi Rih National University Department of Mechanical Engineering Kryvyi Rih Ukraine Kryvyi Rih National University R&d Department Kryvyi Rih Ukraine Kryvyi Rih National University Department of Motor Transport Kryvyi Rih Ukraine

ISBN: (数字)9781665469227

ISBN: (纸本)9781665469234

The research results of the Love wave propagation in the semi-space contact area and in a thin layer are presented. The dependences, which allow analyzing the effect of various conditions on the Love wave dispersion, as well as the dependence of the phase velocity on various parameters: the thickness of the layer, which is coated in semi-space;the relationship between the material characteristics of the media (densities, elastic moduli) are defined. The influence of film thickness on the value of phase velocity at a given frequency, but at different ratios between the density of the media are studied. © 2022 IEEE.

关键词： Dispersion (waves)

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The use of incentives to promote Technical Debt management

arXiv

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arXiv 2021年

作者： Besker, Terese Martini, Antonio Bosch, Jan Computer Science and Engineering Software Engineering Chalmers University of Technology Göteborg Sweden University of Oslo Programming and Software Engineering Oslo Norway

Context: When developing software, it is vitally important to keep the level of technical debt down since it is well established from several studies that technical debt can, e.g., lower the development productivity, decrease the developers' morale, and compromise the overall quality of the software. However, even if researchers and practitioners working in today's software development industry are quite familiar with the concept of technical debt and its related negative consequences, there has been no empirical research focusing specifically on how software managers actively communicate and manage the need to keep the level of technical debt as low as possible. Objective: This study aims to understand how software companies give incentives to manage Technical Debt. This is done by exploring how companies encourage and reward practitioners for actively keeping the level of technical debt down and whether the companies use any forcing or penalizing initiatives when managing technical debt. Method: In a first step, this paper reports the results of both an online survey provided quantitative data from 258 participants and interviews with 32 software practitioners. In a second step, this study set out to specifically provide a detailed assessment of additional and in-depth analysis of Technical Debt management strategies based on an encouraging mindset and attitude from both managers and technical roles to understand how, when and by whom such strategy is adopted in practice. Results: Our findings show that having a Technical Debt management strategy (specially based on encouragement) can significantly impact the amount of Technical Debt in the software. Conclusion: The result indicates that there is considerable unfulfilled potential to influence how software practitioners can further limit and reduce Technical Debt by adopting a strategy based explicitly on an encouraging mindset from managers where they also specifically dedicate time and resources for Technical De

关键词： Software design

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A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset 26

A Horizontal Federated Learning Approach to IoT Malware Traf...

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26th International Conference on Advanced Communications Technology, ICACT 2024

作者： Do, Phuc Hao Le, Tran Duc Vishnevsky, Vladimir Berezkin, Aleksandr Kirichek, Ruslan The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Saint-Petersburg Russia Danang Architecture University Da Nang Viet Nam University of Telecommunications Department of Communication Networks and Data Transmission at Bonch-Bruevich Saint-Petersburg State Russia University of Science and Technology The University of Danang Da Nang Viet Nam The University of Danang University of Science and Technology Information Technology Faculty Danang Viet Nam V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Institute of Control Sciences of Russian Academy of Sciences Russia Bonch Bruevich Saint Petersburg State University of Telecommunications Department of Programming Engineering and Computer Science Russia

ISBN: (纸本)9791188428120

The increasing prevalence of botnet attacks in IoT networks has led to the development of deep learning techniques for their detection. However, conventional centralized deep learning models pose challenges in simultaneously ensuring user data privacy and detecting botnet attacks. To address this issue, this study evaluates the efficacy of Federated Learning (FL) in detecting IoT malware traffic while preserving user privacy. The study employs N-BaIoT, a dataset of real-world IoT network traffic infected by malware, and compares the effectiveness of FL models using Convolutional Neural Network, Long Short-Term Memory, and Gated Recurrent Unit models with a centralized approach. The results indicate that FL can achieve high performance in detecting abnormal traffic in IoT networks, with the CNN model yielding the best results among the three models evaluated. The study recommends the use of FL for IoT malware traffic detection due to its ability to preserve data privacy. © 2024 Global IT Research Institute - GIRI.

关键词： Malware

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Traffic Modeling for the Industrial Internet of NanoThings

Traffic Modeling for the Industrial Internet of NanoThings

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Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Nina Kuchuk Igor Ruban Oleksandr Zakovorotnyi Andriy Kovalenko Andrii Shyshatskyi Iurii Sheviakov Department of Computer Engineering and Programming National Technical University “Kharkiv Polytechnic Institute” Kharkiv Ukraine Department of Electronic Computers Kharkiv National University of Radio Electronics Kharkiv Ukraine Department of Computerized Management Systems National Aviation University Kyiv Ukraine Civil Aviation Institute Ivan Kozhedub Kharkiv National Air Force University Kharkiv Ukraine

Industrial Internet of NanoThings (IIoNT) traffic model proposed. The model is based on the developed algorithm for Dynamic Data Composition Control. The application of the algorithm made it possible to reduce the total amount of transmitted information from the end nodes of IIoNT. The model made it possible to determine the parameters of aggregation traffic of IIoNT cluster gateway. With the calculated parameters, the value of the aggregated package is maximized. The main limitation is not exceeding the value of the boundary delay for the transmission of sensor readings. The model also allows you to dynamically determine the required amount of the gateway buffer memory.

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Solution of the Retail Marketing Problem of Rational Choice of the Location of Trade Enterprises Using the Method of Hierarchy Analysis and Fuzzy Set Theory 1

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14th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS 2020

作者： Veliyev, Ahmed Abdullayev, Tarlan Alekperov, Ramiz Salahli, Vuqar Odlar Yurdu Univercity BakuAZ1072 Azerbaijan Scientific Affairs Odlar Yurdu Univercity BakuAZ1072 Azerbaijan Informathion Technology and Programming Azerimed LLC BakuAZ1147 Azerbaijan Department of Computer Engineering Odlar Yurdu Univercity BakuAZ1072 Azerbaijan

ISBN: (数字)9783030640583

ISBN: (纸本)9783030640576

The principles of solving the multicriteria problem of retail marketing for the rational choice of the location of trade enterprises (alternatives) based on the classical method of analysis of Saaty hierarchies, using the theory of fuzzy sets, are considered. The choice of the best alternative is carried out on the basis of the arguments of the maxima (abbreviated arg max), as the arguments, which are evaluated based on the operation of intersection of fuzzy sets of criteria. This approach is very practical from the point of view of using the experience and intuition of marketing workers and requires minimal costs to solve similar problems. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fuzzy set theory

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Statistical Analysis of Capacity Loss for Stored Batteries

Statistical Analysis of Capacity Loss for Stored Batteries

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Luminita–Mirela Constantinescu Bogdan–Adrian Enache Violeta–Georgiana Dogaru Teodor Iulian Voicila Irina Vilciu Silvia–Carmen Vasile Electronics Computer and Electrical Engineering Department University of Pitesti Pitesti Romania Measurements Electrical Apparatus and Static Converters Department University Politehnica of Bucharest Bucharest Romania Electrical Engineering Faculty University Politehnica of Bucharest Bucharest Romania Programming and Planning Department for the Teritorial Dispatch Center Bucharest Transelectrica S.A Bucharest Romania

Lithium-ion battery production is generally geared towards current demand from the main sectors: electric vehicles, consumer electronics, and energy storage. These sectors typically require the batteries to be as fresh as possible to ensure maximum lifespan and performance. Still, sometimes manufacturers work with buffer stocks and deliver batteries from different production series. In this context, the present paper examines stored batteries' capacity loss, employing an exhaustive statistical study. This study aims to establish if the capacity loss is statistically significant and can lead to battery pack unbalances.

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Hydrogeological-Mathematical Model of Formation and Management of Resources and Quality of Fresh Underground Water of the Karakalpak Artesian Basin

Hydrogeological-Mathematical Model of Formation and Manageme...

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2021 International Conference on Information Science and Communications Technologies, ICISCT 2021

作者： Seitnazarov, Kuanish Aytanov, Anvar Kojametov, Ermuhammed Asenbaev, Nurbek Nukus Branch of Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Faculty of 'Computer Engineering' Nukus Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Computer Systems Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Information Computer Technologies and Programming Tashkent Uzbekistan Nukus Branch of Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Information Security Nukus Uzbekistan

ISBN: (纸本)9781665432580

This article discusses the problems of using groundwater resources of the Karakalpak artesian basin. The task of drawing up a geological and mathematical model of the operational resources of groundwater in the Karakalpak artesian basin for the rational use of fresh groundwater in the basin is set. This article discusses the problem of lack of fresh groundwater in the territory of the Republic of Karakalpakstan. A method of hydrogeological-mathematical model of exploitable groundwater resources for the correct use of fresh groundwater is proposed. © 2021 IEEE.

关键词： Hydrogeology

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The Regularization of Small Sub-Constraint Satisfaction Problems 22nd

The Regularization of Small Sub-Constraint Satisfaction Prob...

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22nd International Conference on Applications of Declarative programming and Knowledge Management, INAP 2019, the 33rd Workshop on Logic programming, WLP 2019, and the 27th Workshop on Functional and Constraint Logic programming, WFLP 2019

作者： Löffler, Sven Liu, Ke Hofstedt, Petra Department of Mathematics and Computer Science MINT Programming Languages and Compiler Construction Group Brandenburg University of Technology Cottbus-Senftenberg Konrad-Wachsmann-Allee 5 Cottbus03044 Germany

ISBN: (纸本)9783030467135

This paper describes a new approach on optimization of constraint satisfaction problems (CSPs) by means of substituting sub-CSPs with locally consistent regular membership constraints. The purpose of this approach is to reduce the number of fails in the resolution process, to improve the inferences made during search by the constraint solver by strengthening constraint propagation, and to maintain the level of propagation while reducing the cost of propagating the constraints. Our experimental results show improvements in terms of the resolution speed compared to the original CSPs and a competitiveness to the recent tabulation approach [1, 15]. Besides, our approach can be realized in a preprocessing step, and therefore wouldn’t collide with redundancy constraints or parallel computing if implemented. © 2020, Springer Nature Switzerland AG.

关键词： Constraint satisfaction problems

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Information technologies for calculating the effect of wire thickness and insulation material on its heating temperature during operation

Information technologies for calculating the effect of wire ...

引用

Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Albert Katunin Oleksii Kolomiitsev Oleg Kulakov Hennadii Heiko Ihor Rudakov Department of fire and technological safety of facilities and technologies National University of Civil Defence of Ukraine Kharkiv Ukraine Computer Engineering and Programming Department National Technical University "Kharkiv Polytechnic Institute" Kharkiv Ukraine Scientific Department on Problems of Civil Protection and Technogenic and Ecological Safety National University of Civil Defence of Ukraine Kharkiv Ukraine

The paper evaluates the influence of wire thickness and insulation material on its heating temperature during operation. The temperature and time characteristics of wire exploitation under conditions of different load currents are analysed. The ranges of the wire temperature increase during operation are determined for wires with insulation made of polyethylene, polyvinyl chloride, enamel, and rubber.

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