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arXiv 2020年

作者： Alves, Fernanda F. Ravetti, Martin G. Graduate Program in Production Engineering Federal University of Minas Gerais Presidente Antonio Carlos Avenue 6627 Belo HorizonteMinas Gerais30161-010 Brazil Department of Computer Science Federal University of Minas Gerais Cep Presidente Antonio Carlos Avenue 6627 Belo HorizonteMinas Gerais30161-010 Brazil

Behind the concept of Industry 4.0, there are a number of principles and ideas;one of them is the integration of problems of different decision levels. In this work, we integrate maintenance with planning problems, aiming to take full advantage of the production capacity providing immediate delivery of products to customers and avoiding failures. We propose a hybrid approach for solving a maintenance problem integrated with the lot-sizing and scheduling problems. The approach is based on the concepts of robustness and simheuristics, considering preventive, predictive and corrective maintenances in a parallel machine environment. Simulations are performed to consider machine failures. Results indicate that as we increase the robustness parameter at the lot-sizing problem, we obtain lower deviations related to the initial objective function of the lot-sizing problem and lower probabilities of infeasibility after the occurrence of failures. The approach makes it possible to find an average expected result for each of the scenarios analyzed taking into account historical data on the behavior of the failures. Copyright © 2020, The Authors. All rights reserved.

关键词： Production control

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Transmission switching under wind uncertainty using linear decision rules

arXiv

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arXiv 2019年

作者： Zhou, Yuqi Zhu, Hao Hanasusanto, Grani A. Department of Electrical and Computer Engineering University of Texas at Austin AustinTX United States Graduate Program in Operations Research and Industrial Engineering University of Texas at Austin AustinTX United States

Increasing penetration of wind and renewable generation poses significant challenges to the power system operations and reliability. This paper considers the real-time optimal transmission switching (OTS) problem for determining the generation dispatch and network topology that can account for uncertain energy resources. To efficiently solve the resultant two-stage stochastic program, we propose a tractable linear decision rule (LDR) based approximation solution that can eliminate the uncertain variables and lead to fixed number of constraints. The proposed LDR approach can guarantee feasibility, and significantly reduces the computational complexity of existing approaches that grows with the number of randomly generated samples of uncertainty. Numerical studies on IEEE test cases demonstrate the high approximation accuracy of the proposed LDR solution and its computational efficiency for real-time OTS implementations. Copyright © 2019, The Authors. All rights reserved.

关键词： Electric load dispatching

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Bright high-purity quantum emitters in aluminium nitride integrated photonics

arXiv

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arXiv 2020年

作者： Lu, Tsung-Ju Lienhard, Benjamin Jeong, Kwang-Yong Moon, Hyowon Iranmanesh, Ava Grosso, Gabriele Englund, Dirk Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Photonics Initiative Advanced Science Research Center and Physics Program Graduate Center City University of New York New YorkNY10031 United States Department of Physics Korea University Seoul02841 Korea Republic of

Solid-state quantum emitters (QEs) are fundamental in photonic-based quantum information processing. There is strong interest to develop high-quality QEs in III-nitride semiconductors because of their sophisticated manufacturing driven by large and growing applications in optoelectronics, high voltage power transistors, and microwave amplifiers. Here, we report the generation and direct integration of QEs in an aluminium nitride-based photonic integrated circuit platform. For individual waveguide-integrated QEs, we measure an off-chip count rate exceeding 6 × 104 counts per second (cps) (saturation rate > 8.6 × 104 cps). In an unpatterned thin-film sample, we measure antibunching with g(2)(0) ~ 0.05 and photon count rates exceeding 8 × 105 cps (saturation rate > 1 × 106 cps). Although spin and detailed optical linewidth measurements are left for future work, these results already show the potential for high-quality QEs monolithically integrated in a wide range of III-nitride device technologies that would enable new quantum device opportunities and industrial scalability. Copyright © 2020, The Authors. All rights reserved.

关键词： III-V semiconductors

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Study on estimating electric potential in space between parallel electrodes

引用

IEEJ Transactions on Fundamentals and Materials 2018年第8期138卷 400-407页

作者： Tsujita, Atsushi Ohchi, Masashi Wakimoto, Takayuki Master's Program in Electrical Electronics and Computer Engineering Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan Department of Electrical and Electronic Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan

We have been studying on estimating distribution of permittivity between measurement electrodes using capacitance and electric potential. Two arc electrodes were separated by long distance and there electrodes were surrounded by additional electrodes respectively. In past research work, we carried out numerical electric analysis for calculating the capacitance and electric potential using Finite Element Method(FEM) and compared with experimental and numerical results. The capacitance values were almost agree with experimental and numerical results. However, the electric potential values were different between experimental and numerical results in conventional studies. In this paper, we proposed an equivalent circuit including the stray capacity and measurement method for capacitance, the electric potential in space between long distance electrodes was estimeded. © 2018 The Institute of Electrical Engineers of Japan.

关键词： Electric potential

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Numerical electric field analysis of capacitance and potential in space for estimation of permittivity distribution

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IEEJ Transactions on Fundamentals and Materials 2018年第4期138卷 119-126页

作者： Yamanobe, Hiroshi Ohchi, Masashi Master's Program in Electrical Electronics and Computer Engineering Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tsudanuma Narashino275-0016 Japan Department of Electrical and Electronic Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tsudanuma Narashino275-0016 Japan

We have been studying on measuring capacitance and potential using long distance electrode for estimating a permittivity distribution. The estimating method of permittivity distribution was proposed using Finite Element Method (FEM) and Genetic Algorithm (GA). However, the measurement accuracy was not reviewed. In this paper, we carried out numerical analysis using FEM in case of change of diameter, position and permittivity of a rod of dielectric and discussed the measurement accuracy of capacitance and potential. © 2018 The Institute of Electrical Engineers of Japan.

关键词： Finite element method

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Hybrid Cryptography on Wireless Sensor Network: A Systematic Literature Review 3

Hybrid Cryptography on Wireless Sensor Network: A Systematic...

引用

3rd International Conference on Information Management and Technology, ICIMTech 2018

作者： Gandara, R. Benny Wang, Gunawan Utama, Ditdit Nugeraha Mereu Buana University Master Program of Electrical Engineering Jakarta Indonesia Information Systems Management Department Bina Nusantara University BINUS Graduate Program-Master of Information Systems Management Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Master of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Wireless technology gradual growth in the latest years has facilitated it to bridge its applications operated extensively in many types of industry. Wireless sensor network (WSN) technology brings several benefits over traditional wired technology by reason of the lower cost, immense flexibility escalation, and scalability which is able to be obtained from the old-style one. However, in its application WSN still experience some constraints on resource limitations in the form: processor, memory and energy, and any more challenges that related to availability, reliability and security. Based on its benefits, limitation, and challenges, and also three systematic stages, the review study was performed. The result of study was portrayed in this paper. It is regarding investigation result of hybrid cryptography (HC, as one of defense methods) realized for WSN to methodically increase the security level and decrease the resources usage. The result concluded that HC was proven in escalating the security defense level and downgrading the resources use on WSN compared to symmetric and asymmetric algorithms. © 2018 IEEE.

关键词： Wireless sensor networks

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Fast, accurate, and versatile data analysis platform for the quantification of molecular spatiotemporal signals

引用

Cell 2025年第10期188卷 2794-2809.e21页

作者： Mi, Xuelong Chen, Alex Bo-Yuan Duarte, Daniela Carey, Erin Taylor, Charlotte R. Braaker, Philipp N. Bright, Mark Almeida, Rafael G. Lim, Jing-Xuan Ruetten, Virginia M.S. Wang, Yizhi Wang, Mengfan Zhang, Weizhan Zheng, Wei Reitman, Michael E. Huang, Yongkang Wang, Xiaoyu Li, Lei Deng, HanFei Shi, Song-Hai Poskanzer, Kira E. Lyons, David A. Nimmerjahn, Axel Ahrens, Misha B. Yu, Guoqiang Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Arlington 22203 VA United States Janelia Research Campus Howard Hughes Medical Institute Ashburn 20147 VA United States Department of Molecular and Cellular Biology Harvard University Cambridge 02138 MA United States Graduate Program in Neuroscience Harvard Medical School Boston 02115 MA United States Waitt Advanced Biophotonics Center The Salk Institute for Biological Studies La Jolla 92037 CA United States Department of Biochemistry & Biophysics University of California San Francisco San Francisco CA United States Neuroscience Graduate Program University of California San Francisco San Francisco CA United States Centre for Discovery Brain Sciences University of Edinburgh Edinburgh BioQuarter Edinburgh EH16 4SB United Kingdom Gatsby Computational Neuroscience Unit UCL London W1T 4JG United Kingdom Kavli Institute for Fundamental Neuroscience San Francisco CA United States Department of Automation Tsinghua University Beijing 100084 China IDG/McGovern Institute for Brain Research Tsinghua University Beijing 100084 China New Cornerstone Science Laboratory Tsinghua-Peking Center for Life Sciences Beijing Frontier Research Center for Biological Structure School of Life Sciences Tsinghua University Beijing 100084 China State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Institutes of Brain Science Fudan University Shanghai 200032 China Beijing National Research Center for Information Science and Technology Beijing 100084 China

Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates major computational challenges to extract and quantify biologically meaningful spatiotemporal patterns embedded within complex and rich data sources, many of which cannot be captured with existing methods. Here, we introduce activity quantification and analysis (AQuA2), a fast, accurate, and versatile data analysis platform built upon advanced machine-learning techniques. It decomposes complex live-imaging-based datasets into elementary signaling events, allowing accurate and unbiased quantification of molecular activities and identification of consensus functional units. We demonstrate applications across a wide range of biosensors, cell types, organs, animal models, microscopy techniques, and imaging approaches. As exemplar findings, we show how AQuA2 identified drug-dependent interactions between neurons and astroglia, as well as distinct sensorimotor signal propagation patterns in the mouse spinal cord. © 2025 The Author(s)

关键词： AQuA2 astrocytes cell interaction analysis functional units glial cells image analysis machine learning molecular spatiotemporal signals neurons time-lapse imaging

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Multi-robot exploration using Dynamic Fuzzy Cognitive Maps and Ant Colony Optimization

Multi-robot exploration using Dynamic Fuzzy Cognitive Maps a...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Márcio Mendonça Rodrigo H. C. Palácios Elpiniki I. Papageorgiou Lucas Botoni de Souza Eletric Engineering Academic Department (DAELE) Universidade Tecnológica Federal do Paraná Cornélio Procópio Brazil Computer Engineering Academic Department (DACOM) Universidade Tecnológica Federal do Paraná Cornélio Procópio Brazil Faculty of Technology University of Thessaly Larissa Greece Mechanical Engineering Graduate Program (PPGEM) Universidade Tecnológica Federal do Paraná Cornélio Procópio Brazil

ISBN: (数字)9781728169323

ISBN: (纸本)9781728169330

An application field of Multi-Robot Systems (MRS) is within victim rescue operations. The main challenge faced by disaster rescue teams is response time. The chances of finding survivors decrease significantly over time and dramatically decrease after 48 hours. In this context, the motivation of this work is to present an MRS inspired by the concepts of swarm robotics to rescue victims in unknown environments. In this case, the robots are unaware of the search area boundaries and obstacles, knowing the number of victims to be rescued as a stopping criterion for the simulations made in Matlab®. Therefore, three approaches inheriting the main aspects of fuzzy logic are used based on previous works: a fuzzy logic controller (FLC), a dynamic fuzzy cognitive map (DFCM) controller, and a DFCM inspired by the ant colony optimization metaheuristic (DFCM- ACO). The proposed task simulates real life disaster rescue operations, or even humans lost in unfamiliar environments such as forests. The simulations were performed in three environments in order to test the overall robustness against unpredictable situations, autonomy, explored area and processing time for both approaches using a subsumption-based architecture. In general, the results suggest that the DFCM-based MRS approaches are able to complete the tasks consuming less processing time, with robots travelling shorter distances to explore a similar environment to the FLC approach and with the DFCM-ACO presenting balanced results between the other techniques. Finally, future works are outlined.

关键词： Robot kinematics Robot sensing systems Task analysis Ant colony optimization Multi-robot systems

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Deep learning-based super-resolution and image transformation into structured illumination microscopy

Deep learning-based super-resolution and image transformatio...

引用

Microscopy Histopathology and Analytics, Microscopy 2020

作者： Wang, Hongda Rivenson, Yair Jin, Yiyin Wei, Zhensong Gao, Ronald Günaydin, Harun Bentolila, Laurent A. Kural, Comert Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States California NanoSystems Institute University of California Los AngelesCA90095 United States Computer Science Department University of California Los AngelesCA90095 United States Department of Chemistry and Biochemistry University of California Los AngelesCA90095 United States Department of Physics Ohio State University ColumbusOH43210 United States Biophysics Graduate Program Ohio State University ColumbusOH43210 United States Department of Surgery David Geffen School of Medicine University of California Los AngelesCA90095 United States

We demonstrate single-image super-resolution in fluorescence microscopy using a trained neural-network, matching the resolution of structured illumination microscopy (SIM). This performance is achieved without any par... 详细信息

ISBN: (纸本)9781943580743

关键词： Fluorescence microscopy

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Turning social news curation into microtask crowdsourcing: a vision and research agenda

Turning social news curation into microtask crowdsourcing: a...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Daniel Schneider António Correia Ramon Chaves Ana Paula Pimentel Marcio Antelio Edson Mello Lucas Marcos Antonio de Almeida Luiz Oliveira Jano Moreira de Souza Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research NCE/UFRJ Rio de Janeiro Brazil INESC TEC and University of Trás-os-Montes e Alto Douro Vila Real Portugal Graduate School of Engineering CEFET-RJ Rio de Janeiro Brazil Polytechnic Institute IPRJ/UERJ Rio de Janeiro Brazil Systems Engineering and Computer Science Program (PESC/COPPE/UFRJ) Rio de Janeiro Brazil Federal Institute of Rio de Janeiro (IFRJ) Rio de Janeiro Brazil

ISBN: (数字)9781728185262

ISBN: (纸本)9781728185279

Over the past decade, online crowdsourcing has established itself as an emerging paradigm that industry and government have been using to harness the cognitive abilities of a multitude of users distributed around the world. In this context, microtask crowdsourcing has become the method of choice for addressing a wide range of diverse problems. Microtasks typically require a minimum of time and cognitive effort, but combined individual efforts have made it possible to accomplish great achievements. The goal of this paper is to contribute to the ongoing effort of understanding whether the same success that microtask crowdsourcing has achieved in other domains can be obtained in the field of social news curation. In particular, we ask whether it is possible to turn online news curation, typically a social and collaborative activity on the Web, into a model in which curatorial activities are mapped into microtasks to be performed by a crowd of online users.

关键词： Crowdsourcing Industries Conferences Government Collaboration Turning Cybernetics

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