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7th IEEE International Conference and Workshop Obuda on Electrical and Power engineering, CANDO-EPE 2024

作者： Farkas, Imre Kovari, Attila Rajcsanyi-Molnar, Monika Institute of Computer Engineering University of Dunaujvaros Department of Computer Systems and Control Technology Dunaujvaros Hungary Eszterházy Károly Catholic University Institute of Digital Technology Faculty of Computer Science Eger Hungary Institute of Electronics and Communication Systems Kandó Kalmán Faculty of Electrical Engineering Obuda University Budapest Hungary John Von Neumann University GAMF Faculty of Engineering and Computer Science Kecskemét Hungary Institute of Social Sciences University of Dunaujvaros Department of Economics and Management Dunaujvaros Hungary

ISBN: (纸本)9798331531119

In the last three years, a new partner has emerged for teachers and educators in the field of education. The mushrooming of applications based on large language models has greatly shaped the educational development fields of the present era. The use of various AI applications has become commonplace among students and teachers alike. Many questions are being raised by researchers in this field. What does the rapid development of AI applications bring to the field of pedagogy? Should the products of such applications be compared with human performance? The form presented in this thesis seeks to answer similar questions. What is the impact of frequent use of these applications on the literacy level of individuals? In which areas do students tend to use these applications? The results indicate that half of the students believe their literacy levels will decrease with the mass emergence of AI applications, while 36% feel it will not change. However, 88 % of students have already dealt with AI-based applications, with 64 % using them several times or more, suggesting a high level of integration into their educational processes. © 2024 IEEE.

关键词： Students

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Multi-party secure communication using blockchain over 5G

Multi-party secure communication using blockchain over 5G

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Archana, K. Kareem, Z.H. Al-Farhani, Liwa H. Bagyalakshmi, K. Jenvi, Ignatia K. Majella Kumar, Ashok Department of Computer Engineering Pimpri Chinchwad College of Engineering and Research Maharashtra Pune India Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University College Babylon Iraq System Analysis Control and Information Processing dep Academy of Engineering RUDN University Moscow Russia Sri Ranganathar Institute of Engineering and Technology Coimbatore India Mathematics Department Saveetha School of Engineering SIMATS Saveetha Nagar Chennai India Department of Computer Science Banasthali Vidyapith Rajasthan Banasthali India

ISBN: (纸本)9781032669663

One of the most critical problems facing the blockchain technology industry right now is how to protect the privacy of users’ data on the blockchain in a way that is both effective and cheap. Based on the Pedersen commitment and the Schnorr protocol, this study comes up with a secure multi-party computing protocol (BPLSM). By making the structure of the protocol and doing formal proof calculations, it has been shown that the protocol can be used in the blockchain network to combine private messages for efficient signing while keeping people’s identities secret. Furthermore, by looking at the nature and security of the protocol, it is also possible to find that the BPLSM protocol on the blockchain has a low cost of computing and a high level of information secrecy. Furthermore, it was found that the BPLSM protocol takes less time to check than the current mainstream BLS signature in a simple multi-party transaction with a fixed number of participants. © 2024 The Author(s).

关键词： Blockchain

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Enabling Borderless Office Security: A Comprehensive Zero-Trust Digital Grid Architecture for Flexible Resource Access and Data Protection 9

Enabling Borderless Office Security: A Comprehensive Zero-Tr...

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9th Annual International Conference on Network and Information Systems for computers, ICNISC 2023

作者： Liu, Fuyang Luo, Zhen Wang, Zhe Yin, Lu Zhang, Yunhou Ren, Jiyuan Peng, Yuhuai Dispatching and Control Center Northeast Branch State Grid Corporation of China Shenyang China School of Computer Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9798350306682

The traditional trust-based security architecture is hard to ensure data security in borderless office. To address this problem, a zero-trust digital grid security architecture for borderless office is proposed. The architecture mainly includes three aspects: user management layer, access control layer, and security control layer. This provides borderless office with more flexible resource access policies and more secure protection measures. © 2023 IEEE.

关键词： Access control

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On the chronological understanding of the homogeneous dielectric barrier discharge

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High Voltage 2023年第6期8卷 1132-1150页

作者： Xinpei Lu Zhi Fang Dong Dai Tao Shao Feng Liu Cheng Zhang Dawei Liu Lanlan Nie Chunqi Jiang State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhanChina College of Electrical Engineering and Control Science Nanjing Tech TechnologyNanjingChina School of Electric Power South China University of TechnologyGuangzhouChina Institute of Electrical Engineering Chinese Academy of SciencesBeijingChina Frank Reidy Research Center for Bioelectrics Old Dominion UniversityNorfolkVirginiaUSA Department of Electrical and Computer Engineering Old Dominion UniversityNorfolkVirginiaUSA

Dielectric barrier discharges(DBD)are widely utilised non‐equilibrium atmospheric pressure plasmas with a diverse range of applications,such as material processing,surface treatment,light sources,pollution control,and *** the course of several decades,extensive research has been dedicated to the generation of homogeneous DBD(H‐DBD),focussing on understanding the transition from H‐DBD to filamentary DBD and exploring strategies to create and sustain H‐*** paper first discusses the in-fluence of various parameters on DBD,including gas flow,dielectric material,surface conductivity,and mesh ***,a chronological literature review is presented,highlighting the development of H‐DBD and the associated understanding of its un-derlying *** encompasses the generation of H‐DBD in helium,nitrogen,and ***,the paper provides a brief overview of multiple‐current‐pulse(MCP)behaviours in H‐*** objective of this article is to provide a chronological un-derstanding of homogeneous dielectric barrier discharge(DBD).This understanding will aid in the design of new experiments aimed at better comprehending the mechanisms behind H‐DBD generation and ultimately assist in achieving large‐volume H‐DBD in an air environment.

关键词： dielectric barrier pollution

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A Trust Inference Method Employing Combinatorial Strategies

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Wireless Communications and Mobile Computing 2023年第1期2023卷

作者： Xiao, Ruili Tong, Xiangrong Lin, Yaguang School of Computer and Control Engineering Yantai University Yantai264005 China

Most trust inference algorithms based on Q -learning and learning automata often suffer from the problem of insufficient storage space, as well as some algorithms using the shortest trust path do not fully utilize the trust information. To solve the above problems, a trust inference algorithm (DuelingDQNTrust) based on deep reinforcement learning is proposed. It uses Dueling DQN to compute Q values to reduce the required storage space and does not limit the traversal depth. Moreover, the way to find out the trusted neighbors of a user is crucial because it affects the reliability of the trust path. So three combination strategies are proposed to find users’ trusted neighbors more accurately. One strategy is to define a priority metric by combining node importance and user similarity to find the top k neighbor users of the user as the trusted neighbor set. Another two strategies consider node importance and user similarity in a different order of priority, which first uses a metric to find the top k neighbor users of the user, and then further filters these k users on another metric to determine the trusted neighbor set of the user. The evaluation of the algorithm on the FilmTrust dataset indicates that the algorithm outperforms several existing trust inference algorithms. Copyright © 2023 Ruili Xiao and Xiangrong Tong.

关键词： Reinforcement learning

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Understanding the Effects of Permanent Faults in GPU's Parallelism Management and control Units 23

Understanding the Effects of Permanent Faults in GPU's Paral...

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2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023

作者： Guerrero Balaguera, Juan David Rodriguez Condia, Josie Esteban Fernandes Dos Santos, Fernando Sonza Reorda, Matteo Rech, Paolo Politecnico di Torino Department of Control and Computer Engineering Turin Italy Inria Rennes Bretagne Atlantique Research Centre Rennes France University of Trento Department of Industrial Engineering Trento Italy

ISBN: (纸本)9798400701092

Modern Graphics Processing Units (GPUs) demand life expectancy extended to many years, exposing the hardware to aging (i.e., permanent faults arising after the end-of-manufacturing test). Hence, techniques to assess permanent fault impacts in GPUs are strongly required, especially in safety-critical *** paper presents a method to evaluate permanent faults in the GPU's scheduler and control units, together with the first figures to quantify these effects. We inject 5.83x105 permanent faults in the gate-level units of a GPU model. Then, we map the observed error categories as software errors by instrumenting 13 applications and two convolutional neural networks, injecting more than 1.65x105 permanent errors (1,000 errors per application), reducing evaluation times from several years to hundreds of hours. Our results highlight that faults in GPU parallelism management units impact software execution parameters. Moreover, errors in resource management or instructions codes hang the code, while 45% of errors induce silent data corruption. © 2023 Owner/Author(s).

关键词： Graphics processing unit

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Parallel Multi-objective Multi-type Robot Disassembly Line Balancing Problems

Parallel Multi-objective Multi-type Robot Disassembly Line B...

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2023 International Conference on Cyber-Physical Social Intelligence, ICCSI 2023

作者： Zhang, Zhiwei Guo, XiWang Wang, Jiacun Qin, Shujin Qi, Liang Tang, Ying Information and Control Liaoning Petrochemical University Fushun China Information and Control Liaoning Petrochemical University Monmouth University United States Monmouth University West Long Branch Computer Science and Software Engineering United States Economics and Management Shangqiu Normal University Shangqiu China Shandong University of Science and Technology Computer Science and Technology Qingdao China Roman University Electrical and Computer Engineering Glassboro United States

ISBN: (纸本)9798350312492

Remanufacturing of waste products cannot be separated from disassembly. Reasonable disassembly sequence can realize balanced production of disassembly line, increase work efficiency during remanufacturing, reduce capital investment, reduce pollutant emission, improve safety level and increase parts utilization rate. In previous studies, few have considered the balance between profit and the environment. To tackle this problem, the paper proposes an enhanced parallel layout disassembly line model and utilizes an improved multi-objective multi-verse optimization approach to obtain superior solutions. The accuracy of the model and the effectiveness of the proposed algorithm are validated by comparing the results with those obtained using other algorithms. © 2023 IEEE.

关键词： Multiobjective optimization

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A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction 5

A Multi-Stage Goal-Driven Network for Pedestrian Trajectory ...

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5th International Conference on computer Vision, Image and Deep Learning, CVIDL 2024

作者： Wu, Xiuen Wang, Tao Cai, Yuanzheng Liang, Lingyu Papageorgiou, George Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou China Fuzhou University College of Computer and Data Science Fuzhou China South China University of Technology School of Electronic and Information Engineering Guangzhou China European University Cyprus Department of Computer Science and Engineering Nicosia Cyprus

ISBN: (纸本)9798350373820

Pedestrian trajectory prediction plays a pivotal role in ensuring the safety and efficiency of various applications, including autonomous vehicles and traffic management systems. This paper proposes a novel method for pedestrian trajectory prediction, called multi-stage goal-driven network (MGNet). Diverging from prior approaches relying on stepwise recursive prediction and the singular forecasting of a long-term goal, MGNet directs trajectory generation by forecasting intermediate stage goals, thereby reducing prediction errors. The network comprises three main components: a conditional variational autoencoder (CVAE), an attention module, and a multi-stage goal evaluator. Trajectories are encoded using conditional variational autoencoders to acquire knowledge about the approximate distribution of pedestrians' future trajectories, and combined with an attention mechanism to capture the temporal dependency between trajectory sequences. The pivotal module is the multi-stage goal evaluator, which utilizes the encoded feature vectors to predict intermediate goals, effectively minimizing cumulative errors in the recursive inference process. The effectiveness of MGNet is demonstrated through comprehensive experiments on the JAAD and PIE datasets. Comparative evaluations against state-of-the-art algorithms reveal significant performance improvements achieved by our proposed method. © 2024 IEEE.

关键词： Trajectories

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Shared-control design for robot-assisted surgery using a skill assessment approach

Shared-control design for robot-assisted surgery using a ski...

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作者： Song, Kai-Tai Hsieh, Ping-Jui Institute of Electrical and Control Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

In this article, a shared-control system with skill-based share weight allocation is proposed for a robot-assisted minimally invasive surgery (MIS) procedure. A convolution neural network (CNN) is trained for online skill assessment, and the result is used to generate the share weights of robot autonomy and the user remote control. The control system can ensure synchronization of the two commands from the surgeon and robot autonomy and combine them to determine the motion of the surgical instrument. In this work, a contour-tracking task is handled by the suggested shared controller to simulate a surgical cutting operation. Experimental results on a lab-built robotic platform are presented to show the effectiveness of the proposed method. Multiple contour-tracking experiments have been tested to compare the tracking performances of pure manual remote control and the proposed shared-control method. Experimental results show that the shared controller achieved 34.5% improvement in tracking accuracy in comparison with pure manual control. © 2021 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd.

关键词： Remote control

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A hierarchical and modular agent-oriented framework for power systems co-simulations

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Energy Informatics 2022年第4期5卷 48页

作者： De Vizia, Claudia Macii, Alberto Patti, Edoardo Bottaccioli, Lorenzo Dept. of Control and Computer Engineering Politecnico di Torino Turin Italy Interuniversity Dept. of Regional and Urban Studies Politecnico di Torino Turin Italy

During the last decades, numerous simulation tools have been proposed to faithfully reproduce the different entities of the grid together with the inclusion of new elements that make the grid "smart". Often, these domain-specific simulators have been then coupled with co-simulation platforms to test new scenarios. In parallel, agent-oriented approaches have been introduced to test distributed control strategies and include social and behavioural aspects typical of the consumer side. Rarely, simulators of the physical systems have been coupled with these innovative techniques, especially when social and psychological aspects have been considered. In order to ease the re-usability of these simulators, avoiding re-coding everything from scratch, we propose a hierarchical and modular agent-oriented framework to test new residential strategies in the energy context. If needed, the presented work enables the user to select the desired level of details of the agent-based framework to match the corresponding physical system without effort to test very different scenarios. Moreover, it allows adding on top of the physical data, behavioural aspects. To this end, the characteristics of the framework are first introduced and then different scenarios are described to demonstrate the flexibility of the proposed work: (i) a first stand-alone scenario with two hierarchy levels, (ii) a second co-simulation scenario with a photovoltaic panel simulator and (iii) a third stand-alone scenario with three hierarchy levels. Results demonstrate the flexibility and ease of use of the framework, allowing us to compare several scenarios and couple new simulators to build a more and more complex environment. The framework is in the early stages of its development. However, thanks to its properties in the future it could be extended to include new actors, such as industries, to get the full picture. © 2022, The Author(s).

关键词： Smart power grids

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