检索结果-内蒙古大学图书馆

IEEE Transactions on Intelligent Vehicles 2023年第9期9卷 1-13页

作者： Duo, Wenli Wang, Shouguang Zhou, MengChu You, Dan Wisniewski, Remigiusz Bazydlo, Grzegorz Albeshri, Aiiad Institute of Systems Engineering Macau University of Science and Technology Macau China School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland Department of Computer Science King Abdulaziz University Jeddah Saudi Arabia

Cyber-physical systems, such as unmanned aerial vehicles and connected and autonomous vehicles, are vulnerable to cyber attacks, which can cause significant damage to society. This paper examines the attack issue in cyber-physical systems within the framework of discrete event systems. Specifically, we consider a scenario where a malicious intruder injects a jamming signal into an actuator channel. It disrupts the transmission of control commands and prevents an actuator from receiving them. This is termed an actuator jamming attack. In the paper, we first analyze the closed-loop system behavior under such an attack. An attack structure is constructed to illustrate how an intruder exploits a jamming attack to drive a system into unsafe states. Then, we study the supervisory control problem for a system exposed to such an attack. The problem is reduced to a basic supervisory control one in discrete event systems by introducing the concept of dynamically controllable language. A solution to this problem is explored, where we establish an existence condition for a supremal and robust supervisor that is capable of defending against actuator jamming attacks, and design an algorithm to derive it. Finally, the effectiveness of our method is illustrated by an intelligent automated guided vehicle system. IEEE

关键词： Discrete event simulation

来源：评论

学校读者我要写书评

暂无评论

Implementation of Base Components of Neuro-like Cryptographic Data Protection systems on FPGA 13

Implementation of Base Components of Neuro-like Cryptographi...

引用

13th IEEE International Conference on Electronics and information Technologies, ELIT 2023

作者： Tsmots, Ivan Rabyk, Vasyl Tkachenko, Roman Opotyak, Yurii Teslyuk, Vasyl Department of Automated Control Systems Lviv Polytechnic National University Lviv Ukraine Department of Radiophysics and Computer Technologies Ivan Franko National University of Lviv Lviv Ukraine Department of Publishing Information Technologies Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9798350383096

The implementation of the base components of neuro-like cryptographic data protection systems using FPGA is considered. The structure of the data encryption module using polynomials based on a neuro-like network was developed. Module implemented with the help of VHDL in Quartus II development environment. The base components of different dimensions, which are part of the encryption module, have been implemented. The components allow quick implementation of encryption modules corresponding to different neural network architectures. Modeling of the module's operation and evaluation of the encryption time, hardware resources required for its implementation, and the implementation of the components included in the module were carried out. To prepare the parameters of a neural network of a given architecture, which are used in the implementation of the basic encryption operation, the Training_NS_MGT and Transfor_Data programs were implemented in the C language on the Raspberry Pi 4 microcomputer. Examples of the formation of matrices of weighting coefficients by these programs are given. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

来源：评论

学校读者我要写书评

暂无评论

Risk Management in Farming: An Overview of Sources, Decision-making and Reduction Strategies

Risk Management in Farming: An Overview of Sources, Decision...

引用

Energy Efficiency and Agricultural Engineering (EE&AE), International Conference on

作者： Yordanka Boneva Boriana Vatchova Krasimira Stoilova Department of Distributed Information and Control Systems Bulgarian Academy of Sciences Institute of Information and Communication Technologies Sofia Bulgaria Department of Communication and Computer Systems Bulgarian Academy of Sciences Institute of Information and Communication Technologies Sofia Bulgaria

ISBN: (数字)9798350369380

ISBN: (纸本)9798350369397

The paper considers risk management and strategies for risk reduction in farming. Different sources of risk are presented that happen on farms. The paper reveals some approaches to farmer’s decision-making to reduce the risk. An algorithm is proposed which can be applied to risk management in farms. The cycle of decision-making in farms is visually presented. Graphical representation is also available for risk management strategies. The paper presents an overview of the risk management and risk management strategies in farms.

关键词： Fuzzy logic Uncertainty Accuracy Bibliographies Decision making Insurance Production

来源：评论

学校读者我要写书评

暂无评论

From Digital Management Platform Development to a computer-Aided Crop Rotation Engineering System in Agriculture

From Digital Management Platform Development to a Computer-A...

引用

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

作者： Viktor Medennikov Information and Computing Systems Department Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russia

ISBN: (数字)9798350375718

ISBN: (纸本)9798350375725

Thepaper deals with a formalized description of a computer-aided crop rotation engineering system based on a mathematical crop system optimization model implemented in the digital platform for industry management that would offer an ontological and functional integration of farming industry objectives from the joint science-based point of view. The paper demonstrates that when it comes to the digital economy, crop rotation should be the focal point in precision agriculture that all the farming processes are based on.

关键词： Precision agriculture Optimization models Computational modeling Crops Large-scale systems Farming

来源：评论

学校读者我要写书评

暂无评论

Hierarchical Game with Cooperative Behavior of Lower Level Players

Hierarchical Game with Cooperative Behavior of Lower Level P...

引用

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

作者： Mikhail Gorelov Department of Information and Computing Systems Federal Research Center “Computer Science and Control “of the Rassian Academy of Sciences Moscow Russia

A model of a two-level hierarchical system with many participants is studied assuming that lower-level elements choose Pareto optimal outcomes. Two classes of games are studied: without feedback and with feedback. The... 详细信息

ISBN: (数字)9798350375718

ISBN: (纸本)9798350375725

关键词： Hierarchical systems Process control Games Pareto optimization Large-scale systems

来源：评论

学校读者我要写书评

暂无评论

Data Poisoning: Issues, Challenges, and Needs 7

Data Poisoning: Issues, Challenges, and Needs

引用

7th IET Smart Cities Symposium, SCS 2023

作者： Aljanabi, Mohammad Omran, Alaa Hamza Mijwil, Maad M. Abotaleb, Mostafa El-Kenawy, El-Sayed M. Mohammed, Sahar Yousif Ibrahim, Abdelhameed Department of computer College of Education Aliarqai university Baghdad Iraq University of information technology and communications Baghdad Iraq Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Science Department Computer Science &Information Technology College Anbar University Anbar Iraq Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

Data poisoning attacks, where adversaries manipulate training data to degrade model performance, are an emerging threat as machine learning becomes widely deployed in sensitive applications. This paper provides a comprehensive overview of data poisoning including attack techniques, adversary incentives, impacts on security and reliability, detection methods, defenses, and key research gaps. We examine label flipping, instance injection, backdoors, and other attack categories that enable malicious outcomes ranging from IP theft to accidents in autonomous systems. Promising detection approaches include statistical tests, robust learning, and forensics. However, significant challenges remain in translating academic defenses like adversarial training and sanitization into practical tools ready for operational use. With safety and trustworthiness at stake, more research on benchmarking evaluations, adaptive attacks, fundamental tradeoffs, and real-world deployment of defenses is urgently needed. Understanding vulnerabilities and developing resilient machine learning pipelines will only grow in importance as data integrity is fundamental to developing safe artificial intelligence. © The Institution of Engineering & Technology 2023.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Product Traceability Digital Tool Powered by Mathematical Model for Logistics Digital Platform 15

Product Traceability Digital Tool Powered by Mathematical Mo...

引用

15th International Conference Management of Large-Scale System Development, MLSD 2022

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

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

This paper discusses a mathematical model for establishing a single digital logistics platform as a link between all participants in the added-value creation chain, including producers, resource and services suppliers, consumers, and logistics companies. This demonstrates that the platform in question is an opportunity to create digital tools for products and goods traceability throughout the entire production and logistics chain from the field to the end consumer's kitchen. © 2022 IEEE.

关键词： Digital devices

来源：评论

学校读者我要写书评

暂无评论

Metaheuristic Optimization Algorithm for Signals Classification of Electroencephalography Channels

引用

computers, Materials & Continua 2022年第6期71卷 4627-4641页

作者： Marwa M.Eid Fawaz Alassery Abdelhameed Ibrahim Mohamed Saber Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Electronics and Communications Engineering Faculty of EngineeringDelta University for Science and TechnologyMansoura11152Egypt

Digital signal processing of electroencephalography(EEG)data is now widely utilized in various applications,including motor imagery classification,seizure detection and prediction,emotion classification,mental task classification,drug impact identification and sleep state *** the increasing number of recorded EEG channels,it has become clear that effective channel selection algorithms are required for various *** Whale Optimization Method(Guided WOA),a suggested feature selection algorithm based on Stochastic Fractal Search(SFS)technique,evaluates the chosen subset of *** may be used to select the optimum EEG channels for use in Brain-computer Interfaces(BCIs),the method for identifying essential and irrelevant characteristics in a dataset,and the complexity to be *** enables(SFS-Guided WOA)algorithm to choose the most appropriate EEG channels while assisting machine learning classification in its tasks and training the classifier with the ***(SFSGuided WOA)algorithm is superior in performance metrics,and statistical tests such as ANOVA and Wilcoxon rank-sum are used to demonstrate this.

关键词： Signals metaheuristics optimization feature selection multilayer perceptron support vector machines

来源：评论

学校读者我要写书评

暂无评论

Fuzzy controller of Evaluation System Access Distribution 13

Fuzzy Controller of Evaluation System Access Distribution

引用

13th International Conference on Advanced computer information Technologies, ACIT 2023

作者： Dubchak, Lesia Vasylkiv, Nadiia Turchenko, Iryna Nadvynychna, Tetiana Savka, Nadiia Akimjak, Amantius West Ukrainian National University Department of Computer Engineering Ternopil Ukraine West Ukrainian National University Department of Information Computer Systems and Control Ternopil Ukraine West Ukrainian National University Subdepartment of Psyhology and Social Work Ternopil Ukraine Catholic University in Ruzomberok Department of Catholic Theology Ruzomberok Slovakia

control of users' access to the information system is the main part of the security system. Moreover, it must work in real time and be easily reconfigured. Such controller can be built by using fuzzy logic. In this paper, the authors propose a fuzzy controller for access distribution to the student assessment system. This approach allows applying the proposed fuzzy controller to any evaluation system, as it can be easily reconfigured. Hardware implementation of this controller allows to increase the stability of the information security system because of subjectivity exclusion. © 2023 IEEE.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

Neural Network Concept of Ukrainian-Language Text Embedding 13

Neural Network Concept of Ukrainian-Language Text Embedding

引用

13th International Conference on Advanced computer information Technologies, ACIT 2023

作者： Bisikalo, Oleg Kovtun, Oksana Kovtun, Viacheslav Vinnytsia National Technical University Department of Automation and Intelligent Information Technologies Vinnytsia Ukraine Vasyl' Stus Donetsk National University Department of Theory and Practice of Translation Vinnytsia Ukraine Vinnytsia National Technical University Department of Computer Control Systems Vinnytsia Ukraine

The main contribution of the research is the neural network concept of Ukrainian-language text embedding with a two-level architecture. Basic embedding is implemented based on main lexical structures (Noun-Verb, Noun-Adjective, Verb-Adverb). To preserve the semantic component of complex, long sentences characteristic of the Ukrainian language, the post-embedding procedure is analytically defined. Both levels of the concept are implemented as autoencoder-type neural networks with appropriate topologies. To evaluate the complexity of the proposed conglomerate training process, a generalized loss function was formalized. Testing of the proposed concept in comparison with classic (BOW, Word2Vec) and progressive (MCB BERT) analogues showed that the author's solution prevails over the former and lags behind the latter in the selected quality metric. © 2023 IEEE.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：