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A NEW TYPE OF SUPERCONDUCTING JOURNAL BEARING USING HIGH-TC SUPERCONDUCTORS

CRYOGENICS 1992年第7期32卷 628-633页

作者： KOMORI, M KITAMURA, T Department of Mechanical System Engineering College of Computer Science and System Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka-City Fukuoka 820 Japan

The characteristics between a set of alternating-polarity ring magnets and a superconductor are studied. The magnets have strong repulsion and attraction forces with the superconductor owing to the pinning effect. Using these characteristics a prototype of a superconducting journal bearing with a magnet shaft supported by a cylindrical housing has been developed. The superconducting journal bearing consists of a superconducting housing with four high T(c) superconductors (type-II superconductors) and a magnet shaft as the rotor of alternating-polarity ring magnets of the same size. The magnet shaft can be levitated in the centre of the housing without contact. Levitation and drag forces of the superconducting journal bearing are investigated. The levitation force shows circular hysteresis loops depending on the displacement because of the flux pinning effect. Owing to the simple and useful structure of the superconducting journal bearing it is applicable to practical devices in the industrial field.

关键词： HIGH-TC SUPERCONDUCTORS JOURNAL BEARINGS MAGNETS

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Temporal modeling of link characteristic in mobile Ad hoc network

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Journal of Computing and Information technology 2011年第3期19卷 143-154页

作者： Singh, Jyoti Prakash Dutta, Paramartha Department of Information Technology National Institute of Technology Patna-800005 Bihar India Department of Computer and System Sciences Visva-Bharati University West Bengal India

Ad hoc network consists of a set of identical nodes that move freely and independently and communicate among themselves via wireless links. The most interesting feature of this network is that they do not require any existing infrastructure of central administration and hence is very suitable for temporary communication links in an emergency situation. This flexibility, however, is achieved at a price of communication uncertainty induced due to frequent topology changes. In this article, we have tried to identify the system dynamics using the proven concepts of time series modeling. Here, we have analyzed variation of link utilization between any two particular nodes over a fixed area for differentmobility patterns under different routing algorithm. We have considered four different mobility models - (i) Gauss-Markov mobility model, (ii) Manhattan Grid Mobility model and (iii) Random Way Point mobility model and (iv) Reference Point Group mobility model. The routing protocols under which, we carried out our experiments are (i) Ad hoc On demand Distance Vector routing (AODV), (ii) Destination Sequenced Distance Vector routing (DSDV) and (iii) Dynamic Source Routing (DSR). The value of link load between two particular nodes behaves as a random variable for any mobility pattern under a routing algorithm. The pattern of link load for every combination of mobility model and for every routing protocol can be well modeled as an autoregressive model of order p i.e. AR(p). The order of p is estimated and it is found that most of them are of order 1 only.

关键词： Mobile ad hoc networks

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Generalized synchronization of discrete systems

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Applied Mathematics and Mechanics(English Edition) 2007年第5期28卷 609-614页

作者：马忠军刘曾荣张刚 College of Mathematics and Computer Sciences Guilin University of Electronic Technology Institute of System Biology Shanghai University Department of Mathematics Shijiazhuang College

Generalized synchronization of two discrete systems was discussed. By constructing appropriately nonlinear coupling terms, some sufficient conditions for determining the generalized synchronization between the drive and response systems were derived. In a positive invariant and bounded set, many chaotic maps satisfy the sufficient conditions. The effectiveness of the sufficient conditions is illustrated by three examples.

关键词： generalized synchronization coupling discrete systems

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Corrections to “Effective Gait Abnormality Detection in Parkinson Patients for Multi-Sensors Surveillance system”

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IEEE Access 2025年 13卷 62892-62892页

作者： Abdulwahab Alazeb Mouazma Batool Naif Al Mudawi Mohammed S. Alshehri Sultan Almakdi Nouf Abdullah Almujally Asaad Algarni Department of Computer Science College of Computer Science and Information System Najran University Najran Saudi Arabia Department of Computer Science Air University Islamabad Pakistan Department of Information Systems College of Computer and Information Sciences Princess Nourah bint Abdulrahman University Riyadh Saudi Arabia Department of Computer Science Faculty of Computing and Information Technology Northern Border University Rafha Saudi Arabia

Presents corrections to the paper, (Corrections to “Effective Gait Abnormality Detection in Parkinson Patients for Multi-Sensors Surveillance system”).

关键词： Surveillance

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Dynamic Pricing based Near-Optimal Resource Allocation for Elastic Edge Offloading

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IEEE Transactions on Mobile Computing 2025年

作者： Xia, Yun Xue, Hai Zhang, Di Mumtaz, Shahid Xu, Xiaolong Rodrigues, Joel J. P. C. University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China Zhengzhou University School of Electrical and Information Engineering Henan International Joint Laboratory of Intelligent Health Information System National Telemedicine Center National Engineering Laboratory for Internet Medical Systems and Applications Zhengzhou450001 China Nottingham Trent University Department of Engineering NottinghamNG1 4FQ United Kingdom Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of Nanjing University of Information Science and Technology School of Software Nanjing210044 China Amazonas State University Manaus Brazil

In mobile edge computing (MEC), task offloading can significantly reduce task execution latency and energy consumption of end user (EU). However, edge server (ES) resources are limited, necessitating efficient allocation to ensure the sustainable and healthy development for MEC system. In this paper, we propose a dynamic pricing mechanism based near-optimal resource allocation for elastic edge offloading. First, we construct a resource pricing model and accordingly develop the utility functions for both EU and ES, the optimal pricing model parameters are derived by optimizing the utility functions. In the meantime, our theoretical analysis reveals that the EU's utility function reaches a local maximum within the search range, but exhibits barely growth with increased resource allocation beyond this point. To this end, we further propose the Dynamic Inertia and Speed-Constrained particle swarm optimization (DISC-PSO) algorithm, which efficiently identifies the near-optimal resource allocation. Comprehensive simulation results validate the effectiveness of DISC-PSO algorithm, demonstrating that it significantly outperforms existing schemes by reducing the average number of iterations to reach a near-optimal solution by 86.88%, increasing the EU utility function value by 0.13%, and decreasing the variance of results by 96.78%. © 2025 IEEE. All rights reserved.

关键词： Mobile edge computing

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YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction

arXiv

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arXiv 2025年

作者： Lin, Ziyu Wu, Yunfan Ma, Yuhang Chen, Junzhou Zhang, Ronghui Wu, Jiaming Yin, Guodong Lin, Liang Guangdong Key Laboratory of Intelligent Transportation System School of intelligent systems engineering Sun Yat-sen University Guangzhou510275 China Department of Architecture and Civil Engineering Chalmers University of Technology Sven Hultins gata 6 GothenburgSE-412 96 Sweden School of Mechanical Engineering Southeast University Nanjing211189 China School of Computer Science and Engineering Sun Yat-sen University Guangzhou510275 China

Detecting traffic signs effectively under low-light conditions remains a significant challenge. To address this issue, we propose YOLO-LLTS, an end-to-end real-time traffic sign detection algorithm specifically designed for low-light environments. Firstly, we introduce the High-Resolution Feature Map for Small Object Detection (HRFM-TOD) module to address indistinct small-object features in low-light scenarios. By leveraging high-resolution feature maps, HRFM-TOD effectively mitigates the feature dilution problem encountered in conventional PANet frameworks, thereby enhancing both detection accuracy and inference speed. Secondly, we develop the Multi-branch Feature Interaction Attention (MFIA) module, which facilitates deep feature interaction across multiple receptive fields in both channel and spatial dimensions, significantly improving the model’s information extraction capabilities. Finally, we propose the Prior-Guided Enhancement Module (PGFE) to tackle common image quality challenges in low-light environments, such as noise, low contrast, and blurriness. This module employs prior knowledge to enrich image details and enhance visibility, substantially boosting detection performance. To support this research, we construct a novel dataset, the Chinese Nighttime Traffic Sign Sample Set (CNTSSS), covering diverse nighttime scenarios, including urban, highway, and rural environments under varying weather conditions. Experimental evaluations demonstrate that YOLO-LLTS achieves state-of-the-art performance, outperforming the previous best methods by 2.7% mAP50 and 1.6% mAP50:95 on TT100K-night, 1.3% mAP50 and 1.9% mAP50:95 on CNTSSS, and achieving superior results on the CCTSDB2021 dataset. Moreover, deployment experiments on edge devices confirm the real-time applicability and effectiveness of our proposed approach. Copyright © 2025, The Authors. All rights reserved.

关键词： Traffic signs

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Optimal SOC Headroom of Pump Storage Hydropower for Maximizing Joint Revenue from Day-ahead and Real-time Markets Under Regional Transmission Organization Dispatch

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Journal of Modern Power systems and Clean Energy 2024年第1期12卷 238-250页

作者： Yikui Liu Bing Huang Yang Lin Yonghong Chen Lei Wu Electrical and Computer Engineering Department Stevens Institute of TechnologyHobokenNJ 07030USA Midcontinent Independent System Operator Inc.CarmelIN 46032USA

In response to the increasing penetration of volatile and uncertain renewable energy,the regional transmission organizations(RTOs)have been recently focusing on enhancing the models of pump storage hydropower(PSH)plants,which are one of the key flexibility assets in the day-ahead(DA)and real-time(RT)markets,to further boost their flexibility provision *** by the recent research works that explored the potential benefits of excluding PSHs’cost-related terms from the objective functions of the DA market clearing model,this paper completes a rolling RT market scheme that is compatible with the DA ***,with the vision that PSHs could be permitted to submit state-of-charge(SOC)headrooms in the DA market and to release them in the RT market,this paper uncovers that PSHs could increase the total revenues from the two markets by optimizing their SOC headrooms,assisted by the proposed tri-level optimal SOC headroom ***,in the proposed tri-level model,the middle and lower levels respectively mimic the DA and RT scheduling processes of PSHs,and the upper level determines the optimal headrooms to be submitted to the RTO for maximizing the total revenue from the two *** case studies quantify the profitability of the optimal SOC headroom submissions as well as the associated financial risks.

关键词： Pump storage hydropower energy market state-of-charge(SOC) headroom market revenue tri-level problem

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Addressing dynamic issues in information security management

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Information Management and computer Security 2011年第1期19卷 5-24页

作者： Abbas, Haider Magnusson, Christer Yngstrom, Louise Hemani, Ahmed ECS ICT Royal Institute of Technology Stockholm Sweden Department of Computer and System Sciences Stockholm University Stockholm Sweden

Purpose The purpose of this paper is to address three main problems resulting from uncertainty in information security management: dynamically changing security requirements of an organization;externalities caused by a security system;and obsolete evaluation of security concerns. Design/methodology/approach In order to address these critical concerns, a framework based on options reasoning borrowed from corporate finance is proposed and adapted to evaluation of security architecture and decision making for handling these issues at organizational level. The adaptation as a methodology is demonstrated by a large case study validating its efficacy. Findings The paper shows through three examples that it is possible to have a coherent methodology, building on options theory to deal with uncertainty issues in information security at an organizational level. Practical implications To validate the efficacy of the methodology proposed in this paper, it was applied to the Spridnings-och Hmtningssystem (SHS: dissemination and retrieval system) system. The paper introduces the methodology, presents its application to the SHS system in detail and compares it to the current practice. Originality/value This research is relevant to information security management in organizations, particularly issues on changing requirements and evaluation in uncertain circumstances created by progress in technology. © Copyright - 2011 Emerald Group Publishing Limited. All rights reserved.

关键词： Security of data

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Autonomic Performance and Power Control on Virtualized Servers:Survey, Practices, and Trends

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Journal of computer Science & technology 2014年第4期29卷 631-645页

作者：周笑波蒋昌俊 IEEE ACM Department of Computer Science University of Colorado Colorado Springs U.S.A. The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University CCF Department of Computer Science and Technology Tongji University

Modern datacenter servers hosting popular Internet services face significant and multi-facet challenges in performance and power control. The user-perceived performance is the result of a complex interaction of complex workloads in a very complex underlying system. Highly dynamic and bursty workloads of Internet services fluctuate over multiple time scales, which has a significant impact on processing and power demands of datacenter servers. High-density servers apply virtualization technology for capacity planning and system manageability. Such virtuMized computer systems are increasingly large and complex. This paper surveys representative approaches to autonomic performance and power control on virtualized servers, which control the quality of service provided by virtualized resources, improve the energy efficiency of the underlying system, and reduce the burden of complex system management from human operators. It then presents three designed self-adaptive resource management techniques based on machine learning and control for percentile-based response time assurance, non-intrusive energy-efficient performance isolation, and joint performance and power guarantee on virtualized servers. The techniques were implemented and evaluated in a testbed of virtualized servers hosting benchmark applications. Finally, two research trends are identified and discussed for sustainable cloud computing in green datacenters.

关键词： autonomic computing joint performance and power control virtualized server Internet application sustainable computing

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Arabic Sign Language Analysis and Recognition 1

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1st international conference on Machine Intelligence and computer Science Applications, ICMICSA 2022

作者： Bouhanou, Ihssane Aboutabit, Noureddine Department of Computer System and Technology ENSA Khouribga25000 Morocco

ISBN: (数字)9783031293139

ISBN: (纸本)9783031288456

For those who are deaf or hard of hearing, sign language continues to be the preferred form of communication. As technology has advanced, systems that can automatically distinguish between spoken language and vision-based sign language have been created. This paper examines and identifies Arabic alphabet sign language (ArSLR). The Convolutional Neural Network (CNN) model is used by the system to visually recognize motions from the input sequence of hand photographs. We employed two datasets: the isolated words dataset for dynamic gestures given across multiple frames and the alphabet dataset for static gestures presented throughout a single frame. The suggested systems combine model training, feature extraction, and prediction. To boost performance, we concentrated on hyperparameter validation. The system’s accuracy has exceeded 98% after testing and comparing various metrics, which is comparative to other works utilizing the similar dataset. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Audition

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