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arXiv 2022年

作者： Shashank, Utkarsh Nakamura, Yoji Kusaba, Yu Tomoda, Takafumi Nongjai, Razia Kandasami, Asokan Medwal, Rohit Rawat, Rajdeep Singh Asada, Hironori Gupta, Surbhi Fukuma, Yasuhiro Department of Physics and Information Technology Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka820-8502 Japan Materials Science Division Inter University Accelerator Centre Aruna Asaf Ali Marg New Delhi110067 India Uttarakhand Dehradun248007 India Department of Physics Indian Institute of Technology Kanpur Kanpur208016 India Natural Sciences and Science Education National Institute of Education Nanyang Technological University 637616 Singapore Graduate School of Sciences and Technology for Innovation Yamaguchi University 2-16-1 Tokiwadai Ube755-8611 Japan Research Center for Neuromorphic AI hardware Kyushu Institute of Technology Kitakyushu808-0196 Japan

The rapidly evolving utilization of spin Hall effect (SHE) arising from spin-orbit coupling in 5d transition metals and alloys have made giant strides in the development of designing low-power, robust and non-volatile magnetic memory. Recent studies, on incorporating non-metallic lighter elements such as oxygen, nitrogen and sulfur into 5d transition metals, have shown an enhancement in damping-like torque efficiency θDL due to the modified SHE, but the mechanism behind this enhancement is not clear. In this paper, we study θDL at different temperatures (100-293 K) to disentangle the intrinsic and extrinsic side-jump scattering induced spin Hall effect in N-implanted Pt. We observe a crossover of intrinsic to extrinsic side-jump mechanism as the implantation dose increases from 2×1016 ions/cm2 to 1×1017 ions/cm2. A sudden decrease in the intrinsic spin Hall conductivity is counterbalanced by the increase in the side-jump induced SHE efficiency. These results conclude that studying θDL as a function of implantation dose, and also as a function of temperature, is important to understand the physical mechanism contributing to SHE, which has so far been unexplored in incorporating non-metallic element in 5d transition metals. Copyright © 2022, The Authors. All rights reserved.

关键词： Spin Hall effect

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The role of wireless network in remote monitoring of electromechanical equipment

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and Applied Mechanics 2020年第8期2卷 77-85页

作者： Guo, Liang Luu, Viet Hung Kasim, Shahreen Department of Mathematics and Information Engineering Dongchang College of Liaocheng University Shandong Liaocheng252000 China Maritime College No. 1 Haiphong Viet Nam Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Malaysia

– To study the remote monitoring electromechanical equipment of wireless network, the wireless vibration sensor monitoring system is designed for rotating mechanical equipment. Firstly, for the overall design of the system, problems to be considered in the design process are proposed, and the system structure is improved in this research. Secondly, the wireless vibration monitoring node and the wireless vibration base station are modularized, and the devices details are given. Thirdly, the communication protocol of wireless network is designed, the topology of wireless network is improved, and the packet format is standardized. Finally, the data transmission performance of the designed monitoring system is tested and compared with that of YD-82 piezoelectric acceleration sensor. The results show that after 10 data transmission experiments, the data loss rate is lower than 0.2%. Furthermore, the frequency and amplitude of the main spectral lines of YD-82 sensor are close to that of the monitoring system designed in this study, whereas, the spectral line amplitude of the monitoring system is lower than that of YD-82 sensor. Therefore, the wireless network monitoring system designed in this study can meet the vibration monitoring requirements of electromechanical equipment. © 2020, Cefin Publishing House. All rights reserved.

关键词： Remote control

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Utilization waste granulated blast furnace slag to improve the properties of polluted soil with crude oil

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AIP Conference Proceedings 2022年第1期2660卷

作者： Mohamed Moafak Arbili Shaker M. A. Qaidi Farman Khalil Ghaffoori Radhwan Alzeebaree Halmat Ahmed Awlla 1Department of Information Technology Choman Technical Institute Erbil Polytechnic University Erbil Iraq 2Department of Civil Engineering College of Engineering University of Duhok Duhok Iraq 3Ministry of municipality and tourism Erbil Iraq 4Department of Civil Engineering Duhok Polytechnic University Duhok Iraq

Utilization of waste materials in the treatment of challenging polluted soils is a cost-effective and environmentally responsible strategy, as it helps to reduce disposal issues created by diverse industrial wastes. The aim of this research is to utilize waste material Ground Granulated Blast Furnace Slag (GGBFS) to enhance several engineering characteristics of polluted soil with crude oil. The engineering characteristics of clean and polluted soils with crude oil were investigated and compared to controls. Three percentages of crude oil 3%, 6%, and 9% were artificially mixed with clayey soils by weight. The effects of Ground Granulated Blast Furnace Slag on the compaction properties (OMC and MDD) and shear strength characteristics (cohesion and angle of friction) of the soil were studied. Different percentages of GGBFS (12%, and 18%) by dry weight were utilized in mixtures of soil samples for different experiments. Ultimately, bases on the experimental results, it is summarized that the use of industrial wastes, i.e. GGBFS are affected in shear strength and compaction properties. Although, they have environment-friendly behavior for the construction project purpose.

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The Future of Work in the Age of Automation: Proceedings of a Workshop on Norbert Wiener's 21st Century Legacy

IEEE Transactions on Technology and Society

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IEEE Transactions on technology and Society 2024年

作者： Love, Heather A. Adamson, Greg James, Mallory Lajoie, Jason Mareels, Iven Pearl, Zach Schiff, Daniel S. Schmitt, Ketra Arohi, Thirumala Buchanan, John Camarena, Stephanie Kaevats, Marten Reynolds, Jeremy Albuquerque, Pedro H. Havens, John C. Chacon-Hurtado, Davis Lahiri, Sucheta Ocal, Ayse Orchard, Alexi Rigby, Michael Sherlock, Rebecca Sundararaj, Victor Zhu, Qin University of Waterloo Department of English Language and Literature WaterlooONN2L 3G1 Canada University of Melbourne School of Population and Global Health MelbourneVIC3010 Australia Technical University of Munich Department of Science Technology and Society Munich80333 Germany Cambridge MA02140 United States Federation University Australia BallaratVIC3353 Australia York University Department of Art Media Performance and Design TorontoONM3J 1P3 Canada Purdue University Department of Political Science West LafayetteIN47907 United States Concordia University Centre for Engineering in Society Department for Schmitt MontrealQCH3G 1M8 Canada Infosys Limited Bengaluru560100 India University of Sydney Business School SydneyNSW2006 Australia Source Transitions MelbourneVIC3124 Australia IEEE City Sherpa Estonia Purdue University Department of Sociology West LafayetteIN47907 United States Aix-Marseille Univ CNRS AMSE Marseille13284 France IEEE Planet Positive2030 New YorkNY10016 United States University of Connecticut School of Civil and Environmental Engineering StorrsCT06269 United States Syracuse University School of Information Studies SyracuseNY13244 United States Yildiz Technical University Computer Engineering Department Istanbul34349 Turkey University of Notre Dame Technology and Digital Studies Program Notre DameIN46556 United States Melbourne VIC3000 Australia Virginia Tech Department of Engineering Education BlacksburgVA24061 United States

This article synthesizes the insights gained through presentations and discussions at the 2023 IEEE Workshop on Norbert Wiener in the 21st Century (21CW2023), which focused on "The Future of Work in the Age of Automation."Hosted at Purdue University, this interdisciplinary convening of technologists, social scientists, and humanists explored the impacts of automation on labor, drawing on Wiener's legacy of insights as a backdrop to examine the technologically mediated future we face in coming decades. The workshop presented a rare opportunity to reflect critically on these issues at a pivotal moment in human and technological history, and to elicit underappreciated dimensions. Areas of focus include: the qualitative and quantitative losses associated with automation and AI, the impacts automation has for questions about the meaningfulness of work, the challenges we face related to uncertainty and lack of predictability in technological advancement, and the opportunities that exist for centering human values and agency in these conversations. While acknowledging many items for concern in the context of automation in the future of work, such as the domination of economic narratives, a potential loss of qualitative texture, and the neglect of certain issues key to human identity, the authors conclude by offering optimistic visions - or calls - for redefining value and labor, preserving human agency, and embracing creative problem-solving. © 2024 IEEE.

关键词： Ethical technology

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On stable difference scheme for identification elliptic problem with integral and second kind boundary condition

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AIP Conference Proceedings 2021年第1期2334卷

作者： Charyyar Ashyralyyev 1Department of Mathematical Engineering Gumushane University 29100 Gumushane Turkey 2Department of Computer Technology TAU Ashgabat 744000 Turkmenistan

In this study, the first order of accuracy difference scheme for approximate solution of source identification elliptic problem with integral and second kind boundary conditions is considered. Stability and coercive stability estimates for solution of the difference scheme are described. Moreover, test example with computation results is given.

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Intelligent COVID-19 forecasting, diagnoses and monitoring systems: A survey

TechRxiv

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TechRxiv 2021年

作者： Anjum, Nasreen Asif, Amna Kiran, Mehreen Jabeen, Fouzia Yang, Zhahoui Huang, Chongwen Noor, Salma Imran, Kanwal Ali, Ihsan Mohamed, Ehab Mahmoud The Department of Computer Science Shaheed Benazir Bhutto Women University Peshawar Pakistan The Department of Electronic and Electrical Engineering University College London LondonWC1E 6BT United Kingdom College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China International Joint Innovation Center Zhejiang University Haining314400 China Hangzhou310027 China Faculty of Computer Science and Information Technology University of Malaya Malaysia Electrical Engineering Dept. Colleague of Engineering Prince Sattam Bin Abdulaziz University Wadi Addwasir Saudi Arabia Electrical Engineering Dept. Faculty of Engineering Aswan University Aswan Egypt

To date, the novel Corona virus (SARS-CoV-2) has infected millions and has caused the deaths of thousands of people around the world. At the moment, five antibodies, two from China, two from the U.S., and one from the UK, have already been widely utilized and numerous vaccines are under the trail process. In order to reach herd immunity, around 70% of the population would need to be inoculated. It may take several years to hinder the spread of SARS-CoV-2. Governments and concerned authorities have taken stringent measurements such as enforcing partial, complete, or smart lockdowns, building temporary medical facilities, advocating social distancing, and mandating masks in public as well as setting up awareness campaigns. Furthermore, there have been massive efforts in various research areas and a wide variety of tools, technologies and techniques have been explored and developed to combat the war against this pandemic. Interestingly, machine learning algorithms and internet of Things (IoTs) technology are the pioneers in this race. Up till now, several real-time and intelligent COVID-19 forecasting, diagnosing, and monitoring systems have been proposed to tackle the COVID-19 pandemic. In this article based on our extensive literature review, we provide a taxonomy based on the intelligent COVID-19 forecasting, diagnosing, and monitoring systems. We review the available literature extensively under the proposed taxonomy and have analyzed a significantly wide range of machine learning algorithms and IoTs which can be used in predicting the spread of COVID-19 and in diagnosing and monitoring the infected individuals. Furthermore, we identify the challenges and also provide our vision about the future research on COVID-19. © 2021, CC BY.

关键词： Coronavirus

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Wind turbine generators with boost converter system based on hybrid technology

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AIP Conference Proceedings 2022年第1期2519卷

作者： S. Kaliappan A. H. Nandhu Kishore R. Hemnath A. Ashlin Immanuel M. C. Anand Chakaravarthi Ram Subbiah T. C. Manjunath 1Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore Tamilnadu India 2Department of Computer Science and Engineering PSNA College of Engineering and Technology Dindigul Tamilnadu India 3Department of Mechanical Engineering Sri Sairam Engineering Chennai Tamilnadu India 4Department of Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and Technology Nizampet Hyderabad India 5Department of ECE Dayananda Sagar College of Engineering (DSCE) Bangalore Karnataka India

This article presents the design of a boost converter that is combined with a solar panel system and a tiny wind generator using hybrid methods. They are used in wind turbines with full-bridge DC to DC converters. The performance of the converter is improved by using a DC-to-DC converter with a passive filter. This passive filter efficiently reduces the voltage stress on the medium frequency transformer in a DC-to-DC converter. A dc-to-dc converter-based wind turbine control in a dc-grid system was also demonstrated. The suggested system is implemented using MATLAB. The simulation results on the DC-DC Boost Converter show an increase in power. The suggested system was simulated in the MATLAB/SIMULINK environment.

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Thinking out of the blocks: Holochain for distributed security in IoT healthcare

arXiv

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arXiv 2021年

作者： Zaman, Shakila Khandaker, Muhammad R.A. Khan, Risala T. Tariq, Faisal Wong, Kai-Kit The Department of Computer Science and Engineering BRAC University Dhaka Bangladesh The School of Engineering and Physical Sciences Heriot-Watt University EdinburghEH14 4AS United Kingdom The Institute of Information Technology Jahangirnagar University Dhaka1342 Bangladesh The James Watt School of Engineering University of Glasgow United Kingdom The Department of Electronic and Electrical Engineering University College London LondonWC1E7JE United Kingdom

The Internet-of-Things (IoT) is an emerging and cognitive technology which connects a massive number of smart physical devices with virtual objects operating in diverse platforms through the internet. IoT is increasingly being implemented in distributed settings, making footprints in almost every sector of our life. Unfortunately, for healthcare systems, the entities connected to the IoT networks are exposed to an unprecedented level of security threats. Relying on a huge volume of sensitive and personal data, IoT healthcare systems are facing unique challenges in protecting data security and privacy. Although blockchain has posed to be the solution in this scenario thanks to its inherent distributed ledger technology (DLT), it suffers from major setbacks of increasing storage and computation requirements with the network size. This paper proposes a holochain-based security and privacy-preserving framework for IoT healthcare systems that overcomes these challenges and is particularly suited for resource constrained IoT scenarios. The performance and thorough security analyses demonstrate that a holochain-based IoT healthcare system is significantly better compared to blockchain and other existing systems. Copyright © 2021, The Authors. All rights reserved.

关键词： Internet of things

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Detection of the [O I] 63 µm emission line from the z = 6.04 quasar J2054-0005

arXiv

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arXiv 2024年

作者： Ishii, Nozomi Hashimoto, Takuya Ferkinhoff, Carl Rybak, Matus Inoue, Akio K. Michiyama, Tomonari Donevski, Darko Fujimoto, Seiji Salak, Dragan Kuno, Nario Matsuo, Hiroshi Mawatari, Ken Tamura, Yoichi Izumi, Takuma Nagao, Tohru Nakazato, Yurina Osone, Wataru Sugahara, Yuma Usui, Mitsutaka Wakasugi, Koki Yajima, Hidenobu Bakx, Tom J.L.C. Fudamoto, Yoshinobu Meyer, Romain A. Walter, Fabian Yoshida, Naoki Graduate School of Pure and Applied Sciences University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8571 Japan Setagaya Business Square 4-10-1 Yoga Setagaya-ku Tokyo158-0097 Japan Tomonaga Center for the History of the Universe University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8571 Japan Department of Physics Winona State University WinonaMN55987 United States Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands Leiden Observatory Leiden University P.O. Box 9513 Leiden2300 RA Netherlands SRON - Netherlands Institute for Space Research Niels Bohrweg 4 CA Leiden2333 Netherlands Department of Physics School of Advanced Science and Engineering Faculty of Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan Waseda Research Institute for Science and Engineering Faculty of Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan Faculty of Information Science Shunan University 843-4-2 Gakuendai Shunanshi Yamaguchi745-8566 Japan National Center for Nuclear Research Pasteura 7 Warsaw02-093 Poland SISSA Via Bonomea 265 Trieste34136 Italy Department of Astronomy The University of Texas at Austin AustinTX78712 United States Institute for the Advancement of Higher Education Hokkaido University Kita 17 Nishi 8 Kita-ku Hokkaido Sapporo060-0817 Japan Department of Cosmosciences Graduate School of Science Hokkaido University Kita 10 Nishi 8 Kita-ku Hokkaido Sapporo060-0810 Japan National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Department of Physics Graduate School of Science Nagoya University Furo Chikusa Nagoya Aichi464-8602 Japan Research Center for S ace and Cosmic Evolution Ehime Universit 2-5 Bunk o-cho Matsu ama Ehime Ja an 790-8577 China Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo

We report the highest-redshift detection of [O I] 63 µm from a luminous quasar, J2054-0005, at z = 6.04 based on the Atacama Large Millimeter/sub-millimeter Array Band 9 observations. The [O I] 63 µm line luminosity is (4.5 ± 1.5) × 109 L☉, corresponding to the [O I] 63 µm-to-far-infrared luminosity ratio of ≈ 6.7 × 10−4, which is consistent with the value obtained in the local universe. Remarkably, [O I] 63 µm is as bright as [C II] 158 µm, resulting in the [O I]-to-[C II] line luminosity ratio of 1.3 ± 0.5. Based on a careful comparison of the luminosity ratios of [O I] 63 µm, [C II] 158 µm, and dust continuum emission to models of photo-dissociation regions, we find that J2054-0005 has a gas density log(nH/cm−3)= 3.7 ± 0.3 and an incident far-ultraviolet radiation field of log(G/G0) = 3.0 ± 0.1, showing that [O I] 63 µm serves as an important coolant of the dense and warm gas in J2054-0005. A close examination of the [O I] and [C II] line profiles suggests that the [O I] line may be partially self-absorbed, however deeper observations are needed to verify this conclusion. Regardless, the gas density and incident radiation field are in a broad agreement with the values obtained in nearby star-forming galaxies and objects with [O I] 63 µm observations at z = 1 − 3 with the Herschel Space Observatory. These results demonstrate the power of ALMA high-frequency observations targeting [O I] 63 µm to examine the properties of photo-dissociation regions in high-redshift galaxies. © 2024, CC0.

关键词： Density of gases

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Internet security protocol for secure data transmission using OSPF and BGP

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AIP Conference Proceedings 2022年第1期2463卷

作者： D. Ravikumar M. Prasath Nikhil U. Kumar V. Devi P. Vijayalakshmi 1Department of Electronics and Communication Engineering Kings Engineering College Chennai India 2Departments of Electronics & Communication Engineering Vels Institute of Science Technology & Advanced Studies (VISTAS) Chennai India 3Departments of Computer Applications Gurunanak College Chennai India

Internet Protocol Security (IPsec) is a secure network protocol suite that authenticates and encrypts data packets to offer safe encrypted communication between two computers over an IP network. It’s a protocol that’s utilized in virtual private networks. In this proposed work, we are providing secure path for better packet transmission between transmitter and receiver. For safe and secure data transmission, we are developing two routing algorithms namely Open Shortest Path First and Border Gateway Protocol which are designed for packaging along with switch routing. This embedded algorithm of both OSPF and BGP protocols enhances Internet Protocol security for secure data transmission in networking domain.

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