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Investigation of PECS current pass and temperature distribution on sintered Al-Cu eutectic alloy

Funtai Oyobi Fummatsu Yakin/Journal of the Japan Society of Powder and Powder Metallurgy 2020年第11期67卷 649-655页

作者： KAWAKAMI, Yuji SAKAMAKI, Takumi MISAWA, Tatsuya ENDO, Kaede KAWAHARA, Masakazu Department of Materials System Engineering National Institute of Technology Kurume College 1-1-1 Komorino Kurume830-8555 Japan Kyushu University Graduate Department of Materials Process Engineering 744 Motooka Nishi-ku Fukuoka819-0395 Japan Department of Electrical and Electronic Engineering Faculty of Science and Engineering Saga University 1 Honjo-machi Saga840-8502 Japan Department of Electrical and Electronic Engineering Graduate school of Science and Engineering Saga University 1 Honjo-machi Saga840-8502 Japan Kawahara SPS Technical Office 2-4-25 Ooyabe Yokosuka238-0024 Japan

PECS (Pulsed Electric Current Sintering) can lower the sintering temperature and reduce sintering time. However, its sintering mechanism about temperature distribution in the sample is not known clearly. In this study, we used eutectic material of Al-Cu alloy to get temperature distribution by eutectic micro structure. In result, center part of the sample was heated more than outside. From comparison with various current distribution conditions, well-grown neck in center part became conductive path which many electric currents pass through and its upper and lower graphite punch was heated by high current density. Therefore, we can get uniform temperature distribution if the current flowing into the center of the sample is distributed to outer part. ©2020 Japan Society of Powder and Powder Metallurgy.

关键词： Spark plasma sintering

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Investigation the Performance Effect of QOS in MPLS-TE Network

Investigation the Performance Effect of QOS in MPLS-TE Netwo...

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Signal, Control and Communication (SCC), International Conference on

作者： Kenz A. Bozed Ahlam Mohammed Elbeskri Jazia R. Ali Zreg Amer R. Zerek Department of Computer System Design Faculty of Information Technology Benghazi University Benghazi Libya Higher institute of Technical Water Affairs Sabratha Libya Sabratha University College of Science Sabratha Libya Electrical and Electronic Eng. Department Faculty of Engineering Zawia University Zawia Libya

ISBN: (数字)9781665402705

ISBN: (纸本)9781665402712

Due to the need for different communication types (Voice, video, and data) over the network, vendors improving enterprise networks for this purpose to minimize delays in order to support the better result, some applications like voice considered real-time applications which suffer from delay, jitter and packet losses, This paper discusses comparison of QoS performance between three QoS algorithms (PQ, FIFO, and WFQ), when using MPLS-TE technology considering the VoIP QoS parameters (end to end delay, jitter, and packet loss, as simulation done by OPNET modeler 14.5.

关键词： Packet loss Quality of service Switches Jitter Streaming media Data models Routing protocols

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An Image Stabilization Technique for Long-durational Outdoor Footages Obtained by Visual IoT systems

An Image Stabilization Technique for Long-durational Outdoor...

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International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Yuki Murakami Ken T. Murata Kazutaka Kikuta Michiharu Niimi Tomohiro Kawanabe Takamichi Mizuhara Toshiki Aoki Kazunori Yamamoto Tsutomu Nagatsuma Kazuki Kobayashi Keiichiro Fukuzawa Praphan Pavarangkoon ICT Testbed Research and Development Promotion Center National Institute of Information and Communications Technology (NICT) Tokyo Japan Resilient ICT Reserach Center National Institute of Information and Communications Technology (NICT) Sendai Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology (Kyutech) Fukuoka Japan Clealink Technology Kyoto Japan Faculty of Engineering Shinshu University Nagano Japan Academic Center for Computing and Media Studies (ACCMS) Kyoto University Kyoto Japan Faculty of Information Technology King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781665427616

Disaster mitigation is a significant issue where modern wireless network systems are expected to play a crucial role. It is believed that Visual IoT is one of the key techniques because of its monitoring abilities of urban and rural areas. The outdoor Visual IoT systems generally transfer a large number of footage every day. To detect information from large-size footage datasets, automatic time subtractions between frames are effective. However, to extract even tiny difference between frames, camera shake causes a serious damage. In this study we first survey long-durational footage transmitted from outdoor cameras installed in a city to examine that the stabilization techniques based on feature keypoints are effective to camera shake. Based on this survey we define a matching index to judge if the stabilization is of use or not for every couple of frames. The index is implemented with help of a camera calibration library in OpenCV using AKAZE feature. We then propose a method to stabilize footage continuously obtained by outdoor Visual IoT systems. Using the matching index, we examine one-day footage to find that stabilization is occasionally not applicable in case when the matching index is relatively larger or smaller than 1 (when matching is complete) or the number of matching pairs using AKAZE keypoints are too few. According to the results we set a threshold value of the matching index. We finally perform this technique to footage recorded on a couple of strongly windy days. The efficiency is numerically and visually confirmed on each footage successfully.

关键词： Visualization Cloud computing Wireless networks Urban areas Cameras Feature extraction Libraries

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Unified resilience model using deep learning for assessing power system performance

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Heliyon 2025年第4期11卷 e42802页

作者： Artemchuk, Volodymyr Garbuz, Iurii Jamil Alsayaydeh, Jamil Abedalrahim Shkarupylo, Vadym Oliinyk, Andrii Bin Yusof, Mohd Faizal Herawan, Safarudin Gazali Department of Mathematical and Econometric Modelling G.E. Pukhov Institute for Modelling in Energy Engineering of the NAS of Ukraine Kyiv Ukraine Department of Environmental Protection Technologies and Radiation Safety Center for Information-analytical and Technical Support of Nuclear Power Facilities Monitoring of the NAS of Ukraine Kyiv Ukraine Department of Іnformation Systems in Economics Kyiv National Economic University Named After Vadym Hetman Kyiv Ukraine Department of Computerized Control System National Aviation University Kyiv Ukraine Department of Engineering Technology Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK) Universiti Teknikal Malaysia Melaka (UTeM) Melaka 76100 Malaysia Department of Computer Systems Networks and Cybersecurity of the National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine Department of Software Tools Faculty of Computer Science and Technology Zaporizhzhia Polytechnic National University Zaporizhzhia Ukraine Research Section Faculty of Resilience Rabdan Academy Abu Dhabi United Arab Emirates Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta 11480 Indonesia

Energy resilience in renewable energy sources dissemination components such as batteries and inverters is crucial for achieving high operational fidelity. Resilience factors play a vital role in determining the performance of power systems, regardless of their operating environment and interruptions. This article introduces a Unified Resilience Model (URM) using Deep Learning (DL) to enhance power system performance. The proposed model analyzes environmental factors impacting the resilience of batteries and energy storage devices. This deep learning approach trains performance-impacting factors using previously known low resilience drain data. The learning output is utilized to augment various strengthening factors, thereby improving resilience. Drain mitigation and performance improvements are combined for direct impact verification. This process validates the model's fidelity in enhancing power system performance, with a specific focus on the impact of weather factors. © 2025 The Authors

关键词： Deep learning Energy resilience Fidelity Weather impact

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Distributed Nash Equilibrium Seeking in Coalition Games for Uncertain Euler-Lagrange systems With Application to USV Swarm Confrontation

arXiv

引用

arXiv 2025年

作者： Yuwen, Cheng Wen, Guanghui Zhou, Jialing Luan, Meng Huang, Tingwen School of Automation Southeast University Nanjing210096 China State Key Laboratory of CNS/ATM Beijing Institute of Technology Beijing519088 China Department of System Science School of Mathematics Southeast University Nanjing211189 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen218055 China

In this paper, a coalition game with local and coupling constraints is studied for uncertain Euler-Lagrange (EL) systems subject to disturbances with unknown bounds. In the coalition game, each agent collaborates with other agents within the same coalition to optimize its coalition’s cost function while simultaneously competing against agents in other coalitions. Under a distributed framework where each agent has access only to its own action, cost function, and constraint parameters, a distributed strategy is proposed to seek the Nash equilibrium (NE). By combining adaptive methods and sign functions, model uncertainties and disturbances with unknown bounds in the EL system are compensated and suppressed, respectively. Furthermore, an integration of adaptive methods and consensus protocols is employed to update the Lagrange multipliers of both local and coupling constraints. A dynamic average consensus is employed to estimate the gradient of coalition function, while the leader-following protocol is adopted to estimate the actions of other agents. By leveraging Lyapunov theory, the NE is proven to be asymptotically stable. Moreover, an unmanned surface vehicle swarm confrontation is meticulously modeled and analyzed in the coalition game framework. A diverse array of tasks, including formation, encirclement, and interception, are systematically formulated. A numerical example demonstrates the effectiveness of the proposed algorithm. Copyright © 2025, The Authors. All rights reserved.

关键词： Lagrange multipliers

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Challenges and perspectives of biochar anodes for lithium-ion batteries

Future Batteries

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Future Batteries 2024年 4卷

作者： Dimitra Vernardou Georgios Psaltakis Toshiki Tsubota Nikolaos Katsarakis Dimitrios Kalderis Department of Electrical and Computer Engineering School of Engineering Hellenic Mediterranean University Heraklion 71410 Greece Department of Materials Science Faculty of Engineering Kyushu Institute of Technology 1–1 Sensuicho Tobata-ku Kitakyushu 804-8550 Japan Department of Electronics Engineering Hellenic Mediterranean University Chania Crete 73100 Greece

This perspective explores the applications and potential use cases of biochar an anode in Lithium Ion Batteries (LIBs). The advantages as well as the challenges are investigated and compared to conventional materials such as graphite. We explore the synthesis and processing methods, focusing on its integration potential in LIBs with enhanced stability and capacity as showcased by recent studies. We also address the scalability challenges, the industry integration challenges as well as the environmental benefits of biochar anodes. Through this analysis it becomes evident that biochar is positioned as a promising alternative for efficient storage of energy that’s also sustainable. This creates the path for future research to showcase its importance and realize its true potential as an anode material.

关键词： Biochar Processing steps Electrochemical properties Scalability Sustainability

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Analysing the impact of COVID-19 outbreak and economic policy uncertainty on stock markets in major affected economies

Analysing the impact of COVID-19 outbreak and economic polic...

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6th Smart Cities Symposium (SCS 2022)

作者： A. Matuka S. S. Asafo G. O. Eweke P. Mishra S. Ray M. Abotaleb T. Makarovskikh A.A. Alhussan A.A. Abdelhamid E.M. El-Kenawy P. Dutta S. Chowdhury University of Macerata Department of Economics and Law Macerata Italy Department of Banking & Finance Niger Delta University Amassoma Nigeria College of Agriculture J.N.K.V.V. Powarkheda India Centurion University of Technology and Management Paralakhemundi India Department of System Programming South Ural State University Chelyabinsk Russia Department of Computer Sciences College of Computer and Information Sciences Princess Nourah bint Abdulrahman University Riyadh Saudi Arabia Department of Computer Science Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and Technolog School of Engineering and Technology Amity University Kolkata Kolkata India MCA Department Sri Venkateshwara College of Engineering and Technology Chittoor India

The covid-19 pandemic and Economic Policy Uncertainty resulting from the shutdown of production, withdrawal of investments, enforcement of lockdowns and quarantines globally, have been directly affecting stock markets worldwide. This study is thus an attempt to analyse the impact of the COVID-19 pandemic on stock market behaviour in major affected economies. Moreover, the time frame was extended by using current data which investigate the impact of the virus during the boom and the blast phase in the country's most hit by the pandemic crisis such as China, Italy, UK and US. The frequency of the data is daily, and it dates from 3 January 2020 up to 10 February 2021. The considered time framework will give a deep insight into how stock markets behave in the case of an exogenous shock. The Dickey-Fuller Augmented Unit Root Test indicates that all the variables are stationary at first difference, which is one of the main conditions to have robust result, and the ARCH-LM test for the heteroskedasticity of the residuals, which show that all the probability values are significant, rejecting the null hypothesis of no ARCH effect. Based on the results of GARCH (1,1), we conclude that the change in stock markets volatility is positive and significant in China, Italy, UK and USA. This suggests that the impacts of COVID-19 outbreak and economic policy uncertainty on Stock Markets are a significant and Homogeneous across the studied countries, and the shock on FTSE Italia All Share has the longest time to vanish which makes it the riskiest to invest during this period, while the shock on SP500 USA has the shortest time to disappear meaning that it is safest Stock Market in this study. These findings have significant implications for policymakers, institutional and individual investors and Financial Markets analysts.

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Interdependence between transportation system and power distribution system: a comprehensive review on models and applications

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Journal of Modern Power systems and Clean Energy 2019年第3期7卷 433-448页

作者： Wei WEI Danman WU Qiuwei WU Miadreza SHAFIE-KHAH Joao PSCATALAO State Key Laboratory of Power System Department ofElectrical EngineeringTsinghua UniversityBeijingChina Department of Electrical Engineering Technical Universityof DenmarkCopenhagenDenmark School of Technology and Innovations University of VaasaVaasaFinland Institute for Systems and Computer Engineering Technologyand Science(INESC TEC)PortoPortugal Faculty of Engineering University of PortoPortoPortugal

The rapidly increasing penetration of electric vehicles(EVs) in modern metropolises has been witnessed during the past decade, inspired by financial subsidies as well as public awareness of climate change and environment pro-tection. Integrating charging facilities, especially highpower chargers in fast charging stations, into power distribution systems remarkably alters the traditional load flow pattern, and thus imposes great challenges on the operation of distribution network in which controllable resources are rare. On the other hand, provided with appropriate incentives, the energy storage capability of electric vehicle offers a unique opportunity to facilitate the integration of distributed wind and solar power generation into power distribution system. The above trends call for thorough investigation and research on the interdependence between transportation system and power distribution system. This paper conducts a comprehensive survey on this line of research. The basic models of transportation system and power distribution system are introduced,especially the user equilibrium model, which describes the vehicular flow on each road segment and is not familiar to the readers in power system community. The modelling of interdependence across the two systems is *** into account such interdependence, applications ranging from long-term planning to short-term operation are reviewed with emphasis on comparing the description of traffic-power interdependence. Finally, an outlook of prospective directions and key technologies in future research is summarized.

关键词： Charging station Electric vehicle(EV) Interdependence Power flow Power distribution system Transportation system User equilibrium

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Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution

arXiv

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arXiv 2022年

作者： Li, Wenjie Li, Juncheng Gao, Guangwei Deng, Weihong Zhou, Jiantao Yang, Jian Qi, Guo-Jun The Intelligent Visual Information Perception Laboratory Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing210046 China The Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China The School of Communication and Information Engineering Shanghai University Shanghai200444 China Jiangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Science and Technology Nanjing210094 China The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China The State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science Faculty of Science and Technology University of Macau 999078 China The School of Computer Science and Technology Nanjing University of Science and Technology Nanjing210094 China The Research Center for Industries of the Future The School of Engineering Westlake University Hangzhou310024 China OPPO Research SeattleWA98101 United States

Recently, Transformer-based methods have shown impressive performance in single image super-resolution (SISR) tasks due to the ability of global feature extraction. However, the capabilities of Transformers that need to incorporate contextual information to extract features dynamically are neglected. To address this issue, we propose a lightweight Cross-receptive Focused Inference Network (CFIN) that consists of a cascade of CT Blocks mixed with CNN and Transformer. Specifically, in the CT block, we first propose a CNN-based Cross-Scale Information Aggregation Module (CIAM) to enable the model to better focus on potentially helpful information to improve the efficiency of the Transformer phase. Then, we design a novel Cross-receptive Field Guided Transformer (CFGT) to enable the selection of contextual information required for reconstruction by using a modulated convolutional kernel that understands the current semantic information and exploits the information interaction within different self-attention. Extensive experiments have shown that our proposed CFIN can effectively reconstruct images using contextual information, and it can strike a good balance between computational cost and model performance as an efficient model. Source codes will be available at https://***/IVIPLab/CFIN. Copyright © 2022, The Authors. All rights reserved.

关键词： Semantics

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A 6G network survey: state-of-the-art, issues, and future technologies

Engineering Research Express

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engineering Research Express 2025年第2期7卷 022304-022304页

作者： Lingaraj K Rashmi Laxmikant Malghan KarthiK Rao MC Lalit Garg Department of Computer Science and Engineering Rao Bahadur Y. Mahabaleswarappa Engineering College Ballari 583104 India Department of Data Science and Computer Applications Manipal Institute of Technology Manipal Academy of Higher Education Manipal 576104 India Department of Mechatronics Manipal Institute of Technology Manipal Academy of Higher Education Manipal 576104 India Department of Computer Information System University of Malta Msida 2080 Malta. Faculty of Information Technology Industrial University of Ho Chi Minh City Ho Chi Minh City Vietnam

Although 5G is commercialized worldwide, research and academic institutions around the world has began to look at beyond 5G, and it is predicted that 6G will develop into green networks that offer a high service quality and energy efficiency. Significant changes in the mobile communications infrastructure are expected to address the needs of modern applications. Researcher's envision 6G undergoing an immense breakthrough and incorporating traditional mobile terrestrial networks with emerging space, orbital and submerged networks should provide internet connectivity anywhere at any time. This paper provides a comprehensive survey of the transition of wireless to 6G networks. A vision for 6G which could serve as a post-5 G study guide. To assist the vision, a formal architecture for predicting and subdividing future 6G deployment scenarios. Next, we identify key potential 6G features and address the communication technologies needed. The primary emphasis in this survey is on the latest technical developments associated with 6G networks, marked by ubiquitous coverage, the implementation of pervasive AI and an improved network protocol stacking. In addition, related future technologies that help to create secure and socially transparent networks, including terahertz and visible light networking, a modern communication model, block chain, and symbiotic radio. Our study aimed to provide instructive guidelines for future 6G studies.

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