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Reduced-RSS: Reduced Residual Search Space for Nash Bargaining Solutions

IEEE Transactions on Vehicular Technology 2025年第5期74卷 8215-8225页

作者： Cha, Chaeyeon Park, Hyunggon Ewha Womans University Graduate Program in Smart Factory Department of Electronic and Electrical Engineering Seoul03760 Korea Republic of

A fair and efficient resource allocation is crucial to maximize the efficiency of vehicular networks with time-varying resources among dynamically changing vehicles. The Nash Bargaining Solution (NBS) from the cooperative game theory has been one of the fair and optimal resource management solutions for multiple users. However, the computational complexity required to find the NBS for general utility functions exponentially increases either as the number of users increases or as the resources change over time. This is because the size of bargaining sets where the NBS should be found changes. In this paper, we propose an algorithm to reduce the size of the search spaces by considering the adjacent bargaining sets correlated by resource changes. We use the axiom of independence of linear transformations in NBS for the linear approximation of NBS in the adjacent bargaining sets based on its linear transform, leading to reduced residual search space. Moreover, we prove that the NBS is always included in the reduced residual search space based on the axiom of independence of irrelevant alternatives in NBS. Through simulations and experiments on synthetic and real traffic data, we demonstrate that the complexity of existing algorithms for NBS is lowered with the reduced residual search spaces. © 1967-2012 IEEE.

关键词： NIST Resource management Heuristic algorithms Vectors Dynamical systems Computational complexity Accuracy Vehicle dynamics Dynamic scheduling System performance

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Learning feature alignment and dual correlation for few‐shot image classification

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 303-318页

作者： Xilang Huang Seon Han Choi Department of Electronic and Electrical Engineering Ewha Womans UniversitySeoulSouth Korea Graduate Program in Smart Factory Ewha Womans UniversitySeoulSouth Korea

Few‐shot image classification is the task of classifying novel classes using extremely limited labelled *** perform classification using the limited samples,one solution is to learn the feature alignment(FA)information between the labelled and unlabelled sample *** FA methods use the feature mean as the class prototype and calculate the correlation between prototype and unlabelled features to learn an alignment ***,mean prototypes tend to degenerate informative features because spatial features at the same position may not be equally important for the final classification,leading to inaccurate correlation ***,the authors propose an effective intraclass FA strategy that aggregates semantically similar spatial features from an adaptive reference prototype in low‐dimensional feature space to obtain an informative prototype feature map for precise correlation ***,a dual correlation module to learn the hard and soft correlations was developed by the *** module combines the correlation information between the prototype and unlabelled features in both the original and learnable feature spaces,aiming to produce a comprehensive cross‐correlation between the prototypes and unlabelled *** both FA and cross‐attention modules,our model can maintain informative class features and capture important shared features for *** results on three few‐shot classification benchmarks show that the proposed method outperformed related methods and resulted in a 3%performance boost in the 1‐shot setting by inserting the proposed module into the related methods.

关键词： image classification machine learning metric learning

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Measuring Public Wi-Fi Security Awareness via Captive Portal Connections Using a Microcontroller

Measuring Public Wi-Fi Security Awareness via Captive Portal...

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2024 Workshop on Communication Networks and Power Systems, WCNPS 2024

作者： Mariano, Hyago Santana Cafe, Daniel Chaves Professional Graduate Program in Electrical Engineering-PPEE Department of Electrical Engineering Brazil

ISBN: (纸本)9798331507152

This article proposes the implementation of a captive portal system on a microcontroller to assess users' maturity regarding the safe use of public Wi-Fi networks. The use of public Wi-Fi networks has become increasingly common in places like cafes, airports, shopping centers, and hotels. However, many users are unaware of the risks associated with using these unsecured networks, such as personal information theft, privacy invasion, and cyberattacks. This study aims to utilize a microcontroller to generate a signal mimicking a known public network, where, upon user login, an educational authentication portal will be displayed. This portal will not only provide information about security risks but also evaluate the users' maturity level in adopting safe practices on public Wi-Fi networks, offering guidelines on how to protect their data and devices. © 2024 IEEE.

关键词： Wi-Fi

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Anonymous TollPass: A Blockchain-Based Privacy-Preserving electronic Toll Payment Model

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Computers, Materials & Continua 2024年第6期79卷 3495-3518页

作者： Jane Kim Soojin Lee Chan Yeob Yeun Seung-Hyun Seo Department of Electronic&Electrical Engineering Graduate SchoolHanyang UniversitySeoul04763Korea Department of Electrical Engineering and Computer Science Khalifa University of Science and TechnologyAbu Dhabi127788United Arab Emirates School of Electrical Engineering Hanyang UniversityERICAAnsan15588Korea

As big data,Artificial Intelligence,and Vehicle-to-Everything(V2X)communication have advanced,Intelligent Transportation Systems(ITS)are being developed to enable efficient and safe transportation *** Toll Collection(ETC),which is one of the services included in ITS systems,is an automated system that allows vehicles to pass through toll plazas without stopping for manual *** ETC system is widely deployed on highways due to its contribution to stabilizing the overall traffic system *** ensure secure and efficient toll payments,designing a distributed model for sharing toll payment information among untrusted toll service providers is ***,the current ETC system operates under a centralized ***,both toll service providers and toll plazas know the toll usage history of *** raises concerns about revealing the entire driving routes and patterns of *** address these issues,blockchain technology,suitable for secure data management and data sharing in distributed systems,is being applied to the ETC *** enables efficient and transparent management of ETC ***,the public nature of blockchain poses a challenge where users’usage records are exposed to all *** tackle this,we propose a blockchain-based toll ticket model named AnonymousTollPass that considers the privacy of *** proposed model utilizes traceable ring signatures to provide unlinkability between tickets used by a vehicle and prevent the identity of the vehicle using the ticket from being identified among the ring members for the ***,malicious vehicles’identities can be traced when they attempt to reuse *** conducting simulations,we show the effectiveness of the proposed model and demonstrate that gas fees required for executing the proposed smart contracts are only 10%(when the ring size is 50)of the fees required in previous studies.

关键词： Blockchain electronic toll collection smart contract traceable ring signature

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Reducing Wind Direction Data for the Unpredictable Random Number Generator based on Linear Feedback Shift Register

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IEEJ Transactions on Industry Applications 2025年第4期145卷 200-207页

作者： Betchaku, Takuya Ichikawa, Shuichi Department Electrical and Electronic Information Engineering Graduate School of Engineering Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Aichi Toyohashi441-8580 Japan

Chiba and Ichikawa (2023) proposed an unpredictable random number generator (URNG) that samples a linear feedback shift register (LFSR) at varying intervals fluctuated by weather data. Although their URNG meets the criteria of the Diehard and NIST tests, it requires a substantial amount of weather data. This study examines various design options to reduce wind direction data. Our results show that the resulting random sequence passes the Diehard and NIST tests under the following conditions: (1) use of a 64-bit or longer LFSR, (2) incorporation of a robust hash function (e.g., MD5) for data selection, and (3) adoption of 64 or greater number of observations with sufficient entropy. © 2025 The Institute of electrical Engineers of Japan.

关键词： Random number generation

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Bio-Inspired Soft Crawling Robot Which Moves Using Protrusions 12

Bio-Inspired Soft Crawling Robot Which Moves Using Protrusio...

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12th IEEE International Conference on Intelligent Systems, IS 2024

作者： Hirota, Koki Ito, Kazuyuki Graduate School of Science and Engineering Hosei University Electrical and Electronic Engineering Tokyo Japan Hosei University Department of Electrical Electronic Engineering Tokyo Japan

ISBN: (纸本)9798350350982

In this study, we utilize the mechanism of previous soft bio-inspired robots and propose a soft crawling robot that can move on the ground with various protrusions. The robot has two long flexible arms, which autonomously grasp protrusions and move by pulling and pushing the protrusions. The behavior of the robot is complex;nevertheless, it has only two motors. The complex behavior is realized by interacting with the environment. An actual robot was developed using silicone rubber, experiments were conducted and movements were realized. © 2024 IEEE.

关键词： Microrobots

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Applied Depthwise Separable-based Convolutional Neural Network Classification on MobileNet Algorithm for Human Fall Detection 12

Applied Depthwise Separable-based Convolutional Neural Netwo...

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12th International electrical engineering Congress, iEECON 2024

作者： Sakarin, Pipat Sitjongsataporn, Suchada Mahanakorn University Of Technology The Electrical Engineering Graduate Program Faculty Of Engineering And Technology Bangkok Thailand Mahanakorn University Of Technology Department Of Electronic Engineering Bangkok Thailand

ISBN: (纸本)9798350383591

This paper presents the human fall detection by convolutional neural network (CNN) classification and MobileNet algorithm. In order to reduce the number of parameter, we propose a vision-based fall detection model, that is called 'Applied Depthwise separable-based CNN-MobileNet (ACM) algorithm'. This model is based on CNN, deptwise convolution and pointwise convolution of MobileNet algorithm. Experimental results show the accuracy of proposed ACM model about 97.68% and number of parameters of proposed ACM model is less than conventional CNN model. © 2024 IEEE.

关键词： Convolution

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A Wideband Printed Dipole Antenna With Small Footprint Using a Miniaturized Microstrip-to-Coplanar Strips (CPS) Transition

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IEEE Antennas and Wireless Propagation Letters 2025年第5期24卷 1173-1177页

作者： Tamura, Jo Ogushi, Ryoto Ishikawa, Hiroyasu Arai, Hiroyuki Nihon University Department of Electrical and Electronic Engineering Koriyama963-8642 Japan Yokohama National University Graduate School of Engineering Science Yokohama240-8501 Japan

This paper presents a wideband printed dipole antenna for multi-standard mobile communication. The antenna consists of a bow-tie shaped driven element, a parasitic radiator, and a new microstrip-to-coplanar strips transition. Unlike traditional transitions using a phase delay line, the new one utilizes a 180° hybrid having frequency independent amplitude and phase balance. The replacement enhances the transition bandwidth, minimizes the footprint, and offers a simpler design with fewer design parameters. The measurement results show that the transition has a fractional bandwidth (|11 | © 2002-2011 IEEE.

关键词： Bandwidth

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Chattering-Free Fault-Tolerant Cluster Control and Fault Direction Identification for HIL UAV Swarm With Pre-Specified Performance

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 183-197页

作者： Pei-Ming Liu Xiang-Gui Guo Jian-Liang Wang Daniel Coutinho Lihua Xie the Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical Engineering University of Science and Technology Beijing the Shunde Graduate School of University of Science and Technology Beijing IEEE Autonomous Intelligent Systems Department Hangzhou Innovation Institute of Beihang University the Department of Automation and Systems Universidade Federal de Santa Catarina the School of Electrical and Electronic Engineering Nanyang Technological University

In this paper, the problem of pre-specified performance fault-tolerant cluster consensus control and fault direction identification is solved for the human-in-the-loop(HIL) swarm unmanned aerial vehicles(UAVs) in the presence of possible nonidentical and unknown direction faults(NUDFs) in the yaw *** control strategy begins with the design of a pre-specified performance event-triggered observer for each individual *** observers estimate the outputs of the human controlled UAVs, and simultaneously achieve the distributed design of actual control signals as well as cluster consensus of the observer *** is worth mentioning that these observers require neither the high-order derivatives of the human controlled UAVs' output nor a priori knowledge of the initial conditions. The fault-tolerant controller realizes the pre-specified performance output regulation through error transformation and the Nussbaum function. It should be pointed out that there are no chattering caused by the jump of the Nussbaum function when a reverse fault occurs. In addition, to provide a basis for further solving the problem of physical malfunctions, a fault direction identification algorithm is proposed to accurately identify whether a reverse fault has occurred. Simulation results verify the effectiveness of the proposed control and fault direction identification strategies when the reverse faults occur.

关键词： Chattering-free cluster consensus fault direction identification human-in-the-loop (HIL) nonidentical and unknown direction faults (NUDFs) pre-specified performance swarm unmanned aerial vehicles (UAVs)

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Ensuring resilience in ocean energy power plants: a review on cybersecurity 15th

Ensuring resilience in ocean energy power plants: a review o...

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15th European Wave and Tidal Energy Conference, EWTEC 2023

作者： Nazare, Thalita Nardo, Lucas Arias-Garcia, Janier Nepomuceno, Erivelton Center for Ocean Energy Research Department of Electronic Engineering Maynooth University Ireland Graduate Program in Electrical Engineering and the Department of Electronic Engineering Federal University of Minas Gerais Brazil

The present review delves into the escalating significance of cybersecurity within the domain of Ocean Renewable Energy (ORE), with emphasis on wave energy power plants. The susceptibility of crucial infrastructure to cyber threats has been amplified by the escalation in interconnectivity and digitalization of energy systems. The absence of a thorough academic investigation into cybersecurity remedies for ocean energy systems has been recognized, despite the pressing demand. This research conforms to the systematic literature review standards established by Kitchenham and Charters. The study investigates three principal areas of interest: smart ocean, cybersecurity for renewable energy systems, and marine data security. The results highlight the necessity of improving the ability of power plants to withstand cyber attacks and emphasize the potential of various technologies, including the Internet of Things, blockchain, artificial intelligence, and cloud computing in achieving this objective. The aforementioned analysis emphasizes the importance of ongoing exploration and advancement in cybersecurity protocols. It recommends that forthcoming efforts concentrate on quantum computing and policy frameworks that facilitate the establishment of robust, all-encompassing, and just cybersecurity resolutions in the domain of ocean energy. © 2023 European Wave and Tidal Energy Conference.

关键词： Marine power plants

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