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distributed Authentication Method for Power Grid Based on Consortium Blockchain 6

Distributed Authentication Method for Power Grid Based on Co...

引用

6th international conference on Wireless Communications and Applications, ICWCAPP 2022

作者： Zhang, Lijun Hu, Liang Xie, Wenbo Hu, Yanjun Zheng, Kai Sun, Lihui State Grid Zhejiang Electric Power Co. Ltd. Hangzhou Electric Power Company Hangzhou310001 China

ISBN: (纸本)9781665462907

With the rapid development of Internet technology, the problem of network security has become increasingly prominent. the State Grid is a mega-enterprise that is the lifeblood of the national economy and national energy security, the security of State Grid has been highly valued by all sectors of society. However, traditional grid identity systems face serious security threats due to their centralised structure. Based on the consortium blockchain technology, this paper proposes a decentralized distributed authentication method to provide user authentication services for the application system. Relying on smart contracts and consensus mechanisms, the information stored.... in the authentication system is associated with the application system, and the users can perform corresponding operations after obtaining permissions. this method can effectively drive data sharing, promote information circulation. Change the traditional identity verification method, and solve the problems of transaction centralization, authentication server failure, and untraceable data traceability while safeguarding system security. Finally, this paper designs and implements the self-control of user identity and authentication method of trusted access based on the consortium blockchain network, which provides technical support for the security of national power system. © 2022 ieee.

关键词： Network security

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Moving target following based on visual reference system 6

Moving target following based on visual reference system

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6th ieee international conference on Intelligent computing and Signal Processing, ICSP 2021

作者： Li, Jiangnan Yang, Haowen Hu, Qiyao Peng, Xianlin Northwestern University School of Information Science and Technology Xi'an710127 China

ISBN: (纸本)9780738143705

With the continuous development of the computer vision field, visual positioning technology has become a new stable positioning technology. the visual positioning based on artificial landmark recognition has high recognition rate and high robustness, and AprilTag is one of the representatives. We use a distributed control system, take advantage of the characteristics of strong scalability, equipped with a micro processor, OpenMV, WiFi expansion board, etc., real-time acquisition of images and use of homograph transformation to process the images, can achieve precise positioning, in the mobile client Real-time transmission of images, and use of PD algorithm to control the servo system, can respond quickly. After testing, under the condition of normal light, under comprehensive consideration, it is most appropriate to set the distance between the system and the target as 0.8 m. © 2021 ieee.

关键词： distributed parameter control systems

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A Graph-based Approach to Human Activity Recognition

A Graph-based Approach to Human Activity Recognition

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ieee international conference on Cognitive Machine Intelligence (CogMI)

作者： thomas Peroutka Ilir Murturi Praveen Kumar Donta Schahram Dustdar Distributed Systems Group TU Wien Vienna Austria Department of Computer and Systems Sciences Stockholm University Stockholm Sweden

ISBN: (数字)9798350386721

ISBN: (纸本)9798350386738

Advanced wearable sensor devices have enabled the recording of vast amounts of movement data from individuals regarding their physical activities. this data offers valuable insights that enhance our understanding of how physical activities contribute to improved physical health and overall quality of life. Consequently, there is a growing need for efficient methods to extract significant insights from these rapidly expanding real-time datasets. this paper presents a methodology to efficiently extract substantial insights from these expanding datasets, focusing on professional sports but applicable to various human activities. By utilizing data from Inertial Measurement Units (IMU) and Global Navigation Satellite systems (GNSS) receivers, athletic performance can be analyzed using directed graphs to encode knowledge of complex movements. Our approach is demonstrated on biathlon data and detects specific points of interest and complex movement sequences, facilitating the comparison and analysis of human physical performance.

关键词： Performance evaluation Global navigation satellite system Measurement units Tracking Receivers Fatigue Real-time systems Recording Wearable sensors Sports

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A Criminal Smart Contract for distributed Denial of Service Attacks 6

A Criminal Smart Contract for Distributed Denial of Service ...

引用

6th ieee international conference on Communication and Electronics systems, ICCES 2021

作者： Swaminathan, Krithika Saravanan, Shruti St. Joseph's College of Engineering Chennai India

ISBN: (纸本)9781665435871

the rapid growth in the number of services invites exponentially increasing malicious traffic which aims to overwhelm a server. this attempt to exhaust the server of its resources is called a distributed Denial-of-Service (DDoS) attack. the pseudonymity (pseudo-anonymity) of Blockchain can be either desirable or undesirable to society and this unique feature put together with the elimination of trusted intermediaries that smart contracts offer, appeals to the illegal side of the world. this paper sheds light on the 'dark side' of smart contracts, i.e., how they are used to stimulate criminal activity, specifically, a contract to allow the terms and execution of a DDoS to take place in a secure community. though this proposal endeavors to release a DDoS attack, it can be extended to other real-world crimes as well. Apart from this, our work also covers how this framework could be used for Selfish Mining. © 2021 ieee.

关键词： Smart contract

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Security Analysis of Wireless sensor Networks in Prospective Aircraft Industry

Security Analysis of Wireless Sensor Networks in Prospective...

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international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Mikhail I. Chekunov Vasiliy I. Ermakov Alexander P. Tetin Radio-Electronic Systems and Devices Subdepartment Bauman Moscow State Technical University Moscow Russian Federation Perm Scientific-Industrial Instrument Making Company Research Institute of Radiophotonics and Optoelectronics Moscow Russian Federation Laser and Optic-Electronic Systems Subdepartment Bauman Moscow State Technical University Moscow Moscow Russian Federation

this paper analyzes the use of wireless sensor networks (WSNs) in aviation industry and the importance of maintaining an up-to-date security to protect against potential vulnerabilities. A comprehensive approach to WSN development involving highly accurate timing, signal shaping features, and secure ranging sensing techniques is proposed in the paper. the importance of conducting periodic security audits to identify potential vulnerabilities and maintain a high level of protection is also emphasized. the paper focuses on the use of ultra-wideband (UWB) wireless technology and ieee 802.15.4z standard for time-of-arrival (ToA) and two-way range-based network organization. this article presents the advantages of using sub-STS, which is proposed as a method for secure ToA of multicast messages for multiple devices.

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High-performance scheduling of DAG tasks on heterogeneous distributed mixed-criticality system

High-performance scheduling of DAG tasks on heterogeneous di...

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6th international conference on Intelligent computing and Signal Processing (ICSP)

作者： Jinming Wu Yuan Zou Xudong Zhang Jiahui Liu Tianyu Wang Department of Automotive Engineering Beijing Institute of Technology Beijing China

Real-time embedded systems filed tend to deploy functions of different critical levels on a unified platform for reasons related to SWaP (size, weight and power) and cost considerations. Highly critical tasks represent actual tasks with high urgency or high importance, which means that missing the deadline could have severe consequences, so priority guarantees are often required. Usually, the function of real-time systems is abstracted as a directed acyclic graph (DAG). In order to meet different computing requirements, heterogeneous computing units connected by buses are deployed in the system, which is generally called a heterogeneous distributed system. Aiming at the real-time scheduling problem of periodic functions of heterogeneous distributed mixed-criticality systems in the vehicle filed, a mixed integer liner programming method (MILP) is proposed to reduce the high- criticality functions and the system's overall deadline miss rate. Finally, the feasibility of the proposed method is verified by simulation experiments.

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MPICC: Multiple-Precision Inter-Combined MAC Unit with Stochastic Rounding for Ultra-Low-Precision Training 25

MPICC: Multiple-Precision Inter-Combined MAC Unit with Stoch...

引用

30th Asia and South Pacific Design Automation conference, ASP-DAC 2025

作者： Huang, Leran Liu, Yongpan Lin, Xinyuan Wei, Chenhan Sun, Wenyu Wang, Zengwei Cao, Boran Zhang, Chi Fu, Xiaoxia Zhao, Wentao Zhang, Sheng Tsinghua Shenzhen International Graduate School Key Laboratory of Advanced Sensor and Integrated System Shenzhen China Tsinghua University Department of Electronic Engineering Beijing China

ISBN: (纸本)9798400706356

Recent studies have proved the feasibility of ultra-low-precision (≤ 8-bit) training. However, most of the existing operational circuits support only a few higher precisions (FP16, FP32, etc.) for multiplication, and the bit width for accumulation cannot be reduced, which results in low area and power efficiencies. In this paper, we propose MPICC, a multiple-precision Multiply-Accumulate (MAC) unit designed for ultra-low-precision training. It supports inter-combined computations across 18 different precision combinations, including LOG4 (radix-4 FP4), FP4, FP6, FP8, and INT4. It also reduces the accumulation precision from FP16 to FP12 through an optimized Stochastic Rounding (SR) strategy to further save logic resources. Moreover, a low-cost emulating controller, which time-division multiplexed the low-precision MAC unit, is also designed to accomplish high-precision computations for critical DNN layers. Compared with the existing multiple-precision computing units, the area/energy efficiencies of this design are improved by 1.17×/1.19× at FP8, and 4.69×/3.64× at FP4, respectively. the SR strategy further reduces the area/power consumption by 15.6%/14.9% of the floating-point accumulator. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Stochastic systems

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Machine Learning based Analysis of VANET Communication Protocols in Wireless sensor Networks 6

Machine Learning based Analysis of VANET Communication Proto...

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6th international conference on Electronics, Communication and Aerospace Technology, ICECA 2022

作者： Budholiya, Akanksha Manwar, A.B. Sant Gadge Baba Amravati University Pg Department of Computer Science Amravati India

ISBN: (纸本)9781665482714

Both the world and technology are changing. Autonomous vehicles are already common on several nations' roadways thanks to advancements in electronics. We're getting closer to a time when everyone will drive safer, greener vehicles. A dedicated vehicular ad hoc network named VANET was developed for this reason. Routing protocols are among the most crucial components for network dependability. the most well-known VANET routing protocols are examined in this work. these three are DS R (Dynamic Source Routing), DSDV (Destination Sequence Distance Vector) and AODV (Ad hoc on Demand Distance Vector). In vehicular ad hoc networks, as well as in autonomous and connected vehicles, there are numerous cutting-edge techniques for intrusion detection. An intrusion detection system's primary task is to find and report attacks (IDS). IDS is improved with deep learning to make it smarter and more precise. On the other side, it suggests additional difficulties. this research compares the effectiveness and efficiency of the proposed IDS -based deep learning systems. © 2022 ieee.

关键词： Routing protocols

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Research on Signal Processing and sensor Fusion Technology in Electrical Engineering Automation

Research on Signal Processing and Sensor Fusion Technology i...

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ieee international conference on Civil Aviation Safety and Information Technology (ICCASIT)

作者： Rong Chen Zhenjiang Vocational Technical College Zhenjiang China

ISBN: (数字)9798350389418

ISBN: (纸本)9798350389425

this study introduces an electrical measurement system grounded in multi-sensor fusion. through the incorporation of information fusion techniques and parallel computing strategies, the system achieves reconstruction and optimization. the system is designed with a dynamic clustering algorithm that effectively merges data from various sensors, thereby enhancing both the precision and real-time performance of the measurements. To validate the system’s effectiveness, this paper conducts simulations and carries out detailed data analysis of the simulation outcomes. the findings demonstrate that the proposed sensor fusion approach substantially increases the measurement accuracy of the electrical measurement system while maintaining robust stability in challenging environments. Furthermore, the system’s parallel computing capabilities notably boost processing efficiency, reducing the time required for data handling. these outcomes indicate that the signal processing and sensor fusion technologies explored in this research hold significant potential for applications in electrical engineering automation, offering a solid theoretical foundation and technical support for future engineering implementations.

关键词： Electrical engineering Automation Heuristic algorithms Computational modeling Electric variables measurement Signal processing algorithms Clustering algorithms sensor fusion Signal processing Parallel processing

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IoT Intelligent sensor System Based on Fuzzy Inference for Efficient Resource Management System in Residential, Commercial, or Industrial Smart Buildings

IoT Intelligent Sensor System Based on Fuzzy Inference for E...

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international ieee conference and Workshop: Óbuda on Electrical and Power Engineering (CANDO-EPE)

作者： Eusebiu Pruteanu Marius Iulian Furdu Petru Gabriel Puiu Dragos Abdrioaia Robert Istok Energetics and Computer Sfience “Vasile Alecsandri” University of Bacau Bacau Romania Mathematics and Informatics “Vasile Alecsandri” University of Bacau Bacau Romania Óbuda University Institute of Automation and Energy Systems Budapest Hungary

Intelligent sensor systems are the essential element for automatic control in residential, commercial or industrial smart buildings. the use of intelligent sensor systems within buildings implies efficient resource management. In addition to environmental benefits, smart sensor systems provide improved comfort by increasing safety and security. thus, the buildings become adaptable to the individual needs of the users. Although reduced, through the use of insulating materials in the building structure, energy consumption is better managed by reducing energy losses from heating and ventilation processes, which can be controlled according to personal needs [1]. In order to achieve this, specific technical requirements such as precision, resolution and reliability must be fulfilled. the paper proposes an application for the development and implementation of a smart system, using a network of smart wireless sensors for measurement and diagnostics, which integrates dedicated applications related to safety, security and comfort.

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