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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Yan, Weihang Gao, David Wenzhong Zhang, Fang Cheng, Lin Yan, Shijie Department of Electrical and Computer Engineering University of Denver Denver United States State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China College of Information Science and Technology Northeastern University Shenyang China

ISBN: (纸本)9781538614273

In this paper, a dynamic droop mechanism is proposed to damp the synchronizing oscillation that exists in a virtual synchronous generator based distributed generator system without varying the steady-state active-power-loop droop coefficient. In order to eliminate the steady-state error introduced due to load changes or generator trips, a distributed secondary controller based on extremum seeking is employed so that microgrid frequency can be restored to nominal value. Besides, the small-signal model of virtual synchronous generator system is presented under d-q reference frame where virtual synchronous generator is deployed as a PV node. Moreover, the linearized system model of virtual synchronous generator with dynamic droop mechanism is derived and its advantage is discussed. Finally, a modified IEEE 14 bus microgrid system is established in Matlab/Simulink platform. simulation results demonstrate the validity and feasibility of the proposed method. © 2017 IEEE.

关键词： Dynamics

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Development of an astronaut crew behavioral skills taxonomy for medical event management on future long duration exploration missions 69

Development of an astronaut crew behavioral skills taxonomy ...

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69th International Astronautical Congress: #InvolvingEveryone, IAC 2018

作者： Yule, S. Robertson, J.M. Dias, R.D. Doyle, T. Gupta, A. Singh, S. Lipsitz, S. Pozner, C.N. Smink, D.S. Thorgrimson, J.L. Musson, D. Brigham and Women's Hospital Surgery BostonMA United States Neil and Elise Wallace STRATUS Center for Medical Simulation Brigham and Women's Hospital BostonMA United States Brigham and Women's Hospital Center for Surgery and Public Health BostonMA United States Harvard Medical School BostonMA United States Brigham and Women's Hospital Emergency Medicine BostonMA United States Northern Ontario School of Medicine Thunder BayON Canada McMaster University Department of Electrical and Computer Engineering HamiltonON Canada

Unexpected medical events during long-duration space missions may significantly impact crew health and compromise mission success. Significant factors impacting the outcome of medical events include limited options for premature return to Earth and mission designs scenarios that include delayed communication with ground control. The high acuity, low frequency nature of medical events in spaceflight mirror those occurring in terrestrial surgical environments. Non-technical skills (NTS), including situation awareness, leadership and team coordination, have been shown to increase patient safety and improve outcomes. NTS are behavioural skills;theorized to act through the reduction of performance errors and unexpected events. This study described an approach to developing a NTS taxonomy and behavioural marker system to support medical event management during future long duration exploration missions. This program is comprised of several stages, beginning with an expert panel prioritizing nontechnical skills and medical conditions for simulation and scenario design. A spacecraft themed simulator was designed, constructed and used to simulate and film medical events deemed most likely to occur in spaceflight. The overarching goal is to create a simulation-based training program for astronauts on long duration space missions, improve outcomes in spaceflight medical events, and reduce the overall health risk on long duration exploration missions. Copyright © 2018 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Health risks

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Improving Compression Based Dissimilarity Measure for Music Score Analysis

arXiv

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arXiv 2017年

作者： Takamoto, Ayaka Umemura, Mayu Yoshida, Mitsuo Umemura, Kyoji Department of Computer Science and Engineering Toyohashi University of Technology Toyohashi Aichi Japan Department of Scientific and Engineering Simulation Nagoya Institute of Technology Nagoya Aichi Japan

In this paper, we propose a way to improve the compression based dissimilarity measure, CDM. We propose to use a modified value of the file size, where the original CDM uses an unmodified file size. Our application is a music score analysis. We have chosen piano pieces from five different composers. We have selected 75 famous pieces (15 pieces for each composer). We computed the distances among all pieces by using the modified CDM. We use the K-nearest neighbor method when we estimate the composer of each piece of music. The modified CDM shows improved accuracy. The difference is statistically significant. Copyright © 2017, The Authors. All rights reserved.

关键词： Nearest neighbor search

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IoT-enabled dynamic service selection across multiple manufacturing clouds

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Manufacturing Letters 2016年 7卷 22-25页

作者： Yang, Chen Shen, Weiming Lin, Tingyu Wang, Xianbin Department of Electrical and Computer Engineering University of Western Ontario LondonON Canada Beijing Simulation Center Beijing China

Cloud manufacturing can manage mass manufacturing resources and capabilities, and provide them as services via the Internet. Undoubtedly, multiple manufacturing clouds (MCs) will have extremely abundant services in terms of function, price, reliability, location, etc. Selecting and using services from multiple MCs is a natural evolution in the best interests of service consumers. On the other side, various uncertainties in today's highly-dynamic business environment can easily disrupt manufacturing activities, rendering original schedules obsolete. However, little work has been done to take advantages of abundant services from MCs and to effectively deal with uncertainties. To address this requirement, we propose a dynamic service selection (SS) method across multiple MCs. The proposed method uses IoT's real-time sensing ability on service execution, Big-Data's knowledge extraction ability on services in MCs, and event-driven dynamic SS optimization to deal with disturbances from users and service market and to continuously adjust SS to be more effective and efficient. © 2015 Society of Manufacturing Engineers (SME).

关键词： Internet of things

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Analysis of the human health damage and ecosystem quality impact of the palm oil plantation using the life cycle assessment approach

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IOP Conference Series: Earth and Environmental Science 2019年第1期268卷

作者： Khaled Obaideen Yong Chai Tan Pow Seng Yap Muhamad Awang Abdul Azim Abd Ghani Vijaya Subramaniam Vin Cent Tai Institute of Graduate Studies Faculty of Engineering and the Built Environment SEGi University. Centre for Modelling and Simulation Faculty of Engineering and Built Environment SEGi University. Department of Civil and Construction Engineering Faculty of Engineering and Science Curtin University Malaysia. Faculty of Environmental Studies Universiti Putra Malaysia. Faculty of Computer Science and Information Technology Universiti Putra Malaysia. Engineering and Processing Division Malaysian Palm Oil Board.

In recent years the palm oil has been criticized because of its impacts on the environment and human health. Therefore, this study focused on the investigation of human health and ecosystem quality impacts that arose from the plantation of fresh fruit bunch of palm oil by employing an open-source software, namely OpenLCA version 1.5. The life cycle assessment approach was used for the analysis of the investigated impacts. The effects of land use changes on the human health and ecosystem quality were assessed. By employing ReCiPe Endpoint methodology in life cycle impact assessment phase the total ecosystems impact 0.00017 species per year while total human health damage was 0.00146 DALY The results showed that the land use change has an impact on all the impacts categories except the freshwater eutrophication, freshwater ecotoxicity, ozone depletion, terrestrial ecotoxicity, and terrestrial acidification. In addition, the analysis showed that the application of the fertilizers and pesticides were the main contributor in all the impact categories. The results show that transportation is not the major contributor in any one of the impact categories

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EFFICIENT ALGORITHMS FOR ASSORTATIVE EDGE SWITCH IN LARGE LABELED NETWORKS 17

EFFICIENT ALGORITHMS FOR ASSORTATIVE EDGE SWITCH IN LARGE LA...

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simulation Multiconference

作者： Hasanuzzaman Bhuiyan Maleq Khan Madhav Marathe Department of Computer Science Network Dynamics and Simulation Science Laboratory Biocomplexity Institute of Virginia Tech Department of Electrical Engineering and Computer Science Texas A&M University-Kingsville

ISBN: (纸本)9781510838222

An assortative edge switch is an operation on a labeled network, where two edges are randomly selected and the end vertices are swapped with each other if the labels of the end vertices of the edges remain invariant. Assortative edge switch has important applications in studying the mixing pattern and dynamic behavior of social networks, modeling and analyzing dynamic networks, and generating random networks. In this paper, we present an efficient sequential algorithm and a distributed-memory parallel algorithm for assortative edge switch. To our knowledge, they are the first efficient algorithms for this problem. The dependencies among successive assortative edge switch operations, the requirement of maintaining the assortative coefficient invariant, keeping the network simple, and balancing the computation loads among the processors pose significant challenges in designing a parallel algorithm. Our parallel algorithm achieves a speedup of 68 - 772 with 1024 processors for a wide variety of networks.

关键词： Assortative edge switch Random network generation Network dynamics Parallel algorithms Parallel algorithms efficient algorithm Switches edges Network PROCESSOR Edge of a figure or solid telecommunication standards cellular radio LARGE gene Speeding

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Distributed Power Optimization for Security-Aware Multi-Channel Full-Duplex Communications: A Variational Inequality Framework

Distributed Power Optimization for Security-Aware Multi-Chan...

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作者： Tang, Xiao Ren, Pinyi Han, Zhu School of Electronic and Information Engineering Xi'An Jiaotong University Xi'an710049 China National Simulation Education Center for Communications and Information Systems Xi'an710049 China Shaanxi Smart Networks Ubiquitous Access Research Center Xi'an710049 China Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States

In this paper, we consider the physical layer security issue for the multi-channel full-duplex (FD) communications in the presence of eavesdroppers. There co-exist multiple FD pairs, where the two users in each pair perform bi-directional transmissions. The secure communication is then challenged by the users' self-interference, external interference from other pairs, and threats from the eavesdroppers. We investigate the problem from a distributed perspective and formulate the problem as a non-cooperative game, where each user optimizes their power allocation over the channels to maximize their own secrecy rate. Confirming the existence of the Nash equilibrium, we introduce an equivalent variational inequality (VI) formulation to derive the sufficient condition for the equilibrium to be unique. We then develop the iterative security-aware water-filling (ISWF) algorithm that can be implemented at each individual user in a distributed manner and prove that the condition for the unique equilibrium also claims the convergence of ISWF algorithm. Furthermore, we extend our formulation to the heterogeneous cases that there co-exist FD and half-duplex users with different security requirements in the networks, and demonstrate that they can all be covered as special cases under our formulated VI framework. Finally, we present simulation results to validate our theoretical findings. © 1972-2012 IEEE.

关键词： Iterative methods

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Optimization of hydrogen yield of a high-temperature electrolysis system with coordinated temperature and feed factors at various loading conditions: a model-based study☆

arXiv

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arXiv 2018年

作者： Xing, Xuetao Lin, Jin Song, Yonghua Hu, Qiang Zhou, You Mu, Shujun State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China Department of Electrical and Computer Engineering University of Macau Macau China Tsinghua-Sichuan Energy Internet Research Institute Chengdu610213 China National Institute of Clean and Low Carbon Energy Beijing102211 China Zhejiang Zhentai Energy Tech. Co. Ltd. Lishui Zhejiang Province321400 China

High-temperature electrolysis (HTE) is a promising technology for achieving high-efficiency power-to-gas, which mitigates the renewable curtailment while promoting decarbonization by transforming wind or solar energy into fuels. Different from low-temperature electrolysis, a considerable amount of the input energy is consumed by auxiliary equipment in an HTE system for maintaining the temperature, so the studies on systematic energy description and parameter optimization of HTE are essentially required. A few published studies investigated HTE’s systematic optimization based on simulation, yet there is not a commonly used analytical optimization model which is more suitable for integration with power grid. To fill in this blank, a concise analytical operation model is proposed in this paper to coordinate the necessary power consumptions of auxiliaries under various loading conditions of an HTE system. First, this paper develops a comprehensive energy flow model for an HTE system based on the fundamentals extracted from the existing work, providing a quantitative description of the impacts of condition parameters, including the temperature and the feedstock flow rates. A concise operation model is then analytically proposed to search for the optimal operating states that maximize the hydrogen yield while meeting the desired system loading power by coordinating the temperature, the feedstock flows and the electrolysis current. The evaluation of system performance and the consideration of constraints caused by energy balances and necessary stack requirements are both included. In addition, analytical optimality conditions are obtained to locate the optimal operating states without performing nonlinear programming by further investigating the optimization method. In the case study, a numerical case of an HTE system is employed to validate the proposed operation model and optimization method, which proves that the proposed operation strategies not only improve the overal

关键词： Hydrogen production

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Input optics systems of the KAGRA detector during O3GK

arXiv

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arXiv 2022年

作者： Akutsu, T. Ando, M. Arai, K. Arai, Y. Araki, S. Araya, A. Aritomi, N. Asada, H. Aso, Y. Bae, S. Bae, Y. Baiotti, L. Bajpai, R. Barton, M.A. Cannon, K. Cao, Z. Capocasa, E. Chan, M. Chen, C. Chen, K. Chen, Y. Chiang, C.-I. Chu, H. Chu, Y.-K. Eguchi, S. Enomoto, Y. Flaminio, R. Fujii, Y. Fujikawa, Y. Fukunaga, M. Fukushima, M. Furuhata, T. Gao, D. Ge, G.-G. Ha, S. Hagiwara, A. Haino, S. Han, W.-B. Hasegawa, K. Hattori, K. Hayakawa, H. Hayama, K. Himemoto, Y. Hiranuma, Y. Hirata, N. Hirose, E. Hong, Z. Hsieh, B.-H. Huang, G.-Z. Huang, H.-Y. Huang, P. Huang, Y.-C. Huang, Y.-J. Hui, D.C.Y. Ide, S. Ikenoue, B. Imam, S. Inayoshi, K. Inoue, Y. Ioka, K. Ito, K. Itoh, Y. Izumi, K. Jeon, C. Jin, H.-B. Jung, K. Jung, P. Kaihotsu, K. Kajita, T. Kakizaki, M. Kamiizumi, M. Kanbara, S. Kanda, N. Kang, G. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawasaki, T. Kim, C. Kim, J. Kim, J.C. Kim, W.S. Kim, Y.-M. Kimura, N. Kita, N. Kitazawa, H. Kojima, Y. Kokeyama, K. Komori, K. Kong, A.K.H. Kotake, K. Kozakai, C. Kozu, R. Kumar, R. Kume, J. Kuo, C. Kuo, H.-S. Kuromiya, Y. Kuroyanagi, S. Kusayanagi, K. Kwak, K. Lee, H.K. Lee, H.W. Lee, R. Leonardi, M. Li, K.L. Lin, L.C.-C. Lin, C.-Y. Lin, F.-K. Lin, F.-L. Lin, H.L. Liu, G.C. Luo, L.-W. Majorana, E. Marchio, M. Michimura, Y. Mio, N. Miyakawa, O. Miyamoto, A. Miyazaki, Y. Miyo, K. Miyoki, S. Mori, Y. Morisaki, S. Moriwaki, Y. Nagano, K. Nagano, S. Nakamura, K. Nakano, H. Nakano, M. Nakashima, R. Nakayama, Y. Narikawa, T. Naticchioni, L. Negishi, R. Nguyen Quynh, L. Ni, W.-T. Nishizawa, A. Nozaki, S. Obuchi, Y. Ogaki, W. Oh, J.J. Oh, K. Oh, S.H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohta, H. Okutani, Y. Okutomi, K. Oohara, K. Ooi, C. Oshino, S. Otabe, S. Pan, K.-C. Pang, H. Parisi, A. Park, J. Pena Arellano, F.E. Pinto, I. Sago, N. Saito, S. Saito, Y. Sakai, K. Sakai, Y. Sakuno, Y. Sato, S. Sato, T. Gravitational Wave Science Project National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan Research Center for the Early Universe The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan Institute for Cosmic Ray Research KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba277-8582 Japan 1-1 Oho Tsukuba City Ibaraki305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo113-0032 Japan Department of Mathematics and Physics Graduate School of Science and Technology Hirosaki University 3 Bunkyo-cho Aomori Hirosaki036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan 238 Higashi-Mozumi Kamioka-cho Gifu Hida City506-1205 Japan 2-21-1 Osawa Mitaka City Tokyo181-8588 Japan Korea Institute of Science and Technology Information 245 Daehak-ro Yuseong-gu Daejeon34141 Korea Republic of National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon34047 Korea Republic of International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka560-0043 Japan 1-1 Oho Tsukuba City Ibaraki305-0801 Japan Department of Astronomy Beijing Normal University Xinjiekouwai Street 19 Haidian District Beijing100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka Fukuoka City814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Rd. Danshui Dist. New Taipei City25137 Taiwan Department of Physics Institute of Astronomy National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu30013 Taiwan Department of Physics Center for High Energy and High Field Physics National Central University No.300 Zhongda

KAGRA, the underground and cryogenic gravitational-wave detector, was operated for its solo observation from February 25th to March 10th, 2020, and its first joint observation with the GEO 600 detector from April 7th - 21st, 2020 (O3GK). This study presents an overview of the input optics systems of the KAGRA detector, which consist of various optical systems, such as a laser source, its intensity and frequency stabilization systems, modulators, a Faraday isolator, mode-matching telescopes, and a high-power beam dump. These optics were successfully delivered to the KAGRA interferometer and operated stably during the observations. The laser frequency noise was observed to limit the detector sensitivity above a few kHz, whereas the laser intensity did not significantly limit the detector sensitivity. © 2022, CC BY.

关键词： Gravity waves

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Deep Transfer Learning for Power Substation Recognition with Google Earth 15

Deep Transfer Learning for Power Substation Recognition with...

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15th International computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2018

作者： Peng, Jing Liu, Yong-Bo Yima, Y. He, Yong Zheng, Ze-Zhong Zhang, Ya-Meng Li, Jiang Yunnan Electric Power Research Institute Yunnan Power Grid Co. Ltd. Kunming650217 China School of Resources and Environment University of Electronic Science and Technology of China Chengdu611731 China Sichuan Institute of Geo-Environment Monitoring Chengdu Sichuan610081 China State Key Laboratory of Remote Sensing Science Beijing100101 China Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Land and Resources Shenzhen518040 China Guangxi Key Laboratory for Spatial Information and Geomatics Guilin University of Technology Guilin541004 China State Key Laboratory of Water Resources and Hydropower Engineering Sciences Wuhan University Wuhan430072 China Department of Electrical and Computer Engineering Old Dominion University Norfolk23529 United States

ISBN: (纸本)9781728115351

Power substation is a vital component of power transmission systems. However, their location information, longitude and latitude, maybe incorrect due to human errors. For example, an employee of a power grid company may carelessly input wrong location information to the system database. In practice, these errors residue in database and are difficult to be corrected or even unaware of because human naturally are insensitive to these long numbers. Correct location information is critical and it will ensure destroyed power substations to be quickly pinpointed and repaired after earthquake. In this paper, we develop a deep transfer learning approach to automatically verify power substation location information based upon Google Earth (GE)images. We first extract an image patch for a substation from GE using the recorded location information in database. We then apply the deep transfer learning model to verify whether the image patch contains a power substation. We validated the proposed method on more than 1000 substations in Yunnan Electric Power Grid. Our experimental results showed that the Xception deep transfer model achieved the best accuracy of 98.5% among four compared machine learning methods with an image size of 299×299 pixels. The developed model is a promising tool to verify the location information of power substations in database. © 2018 IEEE.

关键词： Database systems

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