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13th USENIX Conference on File and Storage Technologies, FAST 2015

作者： Fu, Min Feng, Dan Hua, Yu He, Xubin Chen, Zuoning Xia, Wen Zhang, Yucheng Tan, Yujuan Wuhan National Lab for Optoelectronics School of Computer Huazhong University of Science and Technology Wuhan China Dept. of Electrical and Computer Engineering Virginia Commonwealth University VA United States National Engineering Research Center for Parallel Computer Beijing China College of Computer Science Chongqing University Chongqing China

ISBN: (纸本)9781931971201

Data deduplication has become a standard component in modern backup systems. In order to understand the fundamental tradeoffs in each of its design choices (such as prefetching and sampling), we disassemble data deduplication into a large N-dimensional parameter space. Each point in the space is of various parameter settings, and performs a tradeoff among backup and restore performance, memory footprint, and storage cost. Existing and potential solutions can be considered as specific points in the space. Then, we propose a general-purpose framework to evaluate various deduplication solutions in the space. Given that no single solution is perfect in all metrics, our goal is to find some reasonable solutions that have sustained backup performance and perform a suitable tradeoff between deduplication ratio, memory footprints, and restore performance. Our findings from extensive experiments using real-world workloads provide a detailed guide to make efficient design decisions according to the desired tradeoff.

关键词： Restoration

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A Lyapunov Function Neuro-Adaptive Controller for LFC in Two-Area Power System

A Lyapunov Function Neuro-Adaptive Controller for LFC in Two...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Muhammad Saleheen Aftab Muhammad Shafiq Fakhra Aftab Department of Electrical and Computer Engineering Sultan Qaboos University Dept. of Computer & Information Systems Engineering NED University of Engineering & Technology

ISBN: (纸本)9781479917631

Dynamic variations in real power directly affects the system frequency. Consequently, large frequency deviations in interconnected systems might cause costly power outages. In order to maintain continuous and stable power production, the load frequency control (LFC) becomes utmost important. This paper presents a neuro-adaptive controller that minimizes the effects of load variations on system frequency and tie-line exchanges. The proposed controller is trained with a new Lyapunov function backpropagation learning algorithm that overcomes the fundamental problems associated with the conventional gradient-descent error backpropagation. computer simulations, performed in Simulink environment, demonstrate superior load frequency control achieved with the proposed controller.

关键词： Two-area power system Load frequency control Neural networks Error backpropagation Lyapunov function load frequency control Liapunov function Full mold process system frequency Neural network POWER OUTAGE Controllers connection road load changes large-scale systems Power production

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A comprehensive AC side single line to ground fault ride through strategy of a modular multilevel converter for HVDC system 7

A comprehensive AC side single line to ground fault ride thr...

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7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015

作者： Cui, Shenghui Lee, Hak-Jun Jung, Jae-Jung Lee, Younggi Sul, Seung-Ki E.ON Energy Research Center RWTH Aachen University Aachen Germany Corporate Technology RandD Center LSIS Anyang-si Korea Republic of Dept. of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of

ISBN: (纸本)9781467371506

The AC side Single Line to Ground (SLG) fault is one of the most frequent faults in power systems. And, in an HVDC system based on modular multilevel converter it calls for the fault ride through strategy to transmit maximum possible electricity during the fault to secure power system stability. It presents different characteristics of SLG faults at the voltage regulator side and the power dispatcher side. In this paper a comprehensive fault ride through strategy for AC side SLG fault occurred at both converters of the HVDC system is proposed. The proposed method presents fast dynamics and promises maximum possible electricity transmission during the faults. Voltage fluctuation and current overshoot in transmission line during SLG fault can be fully suppressed by the proposed method. Moreover, the proposed control strategy is free of inter-station communication and secures the reliability of HVDC transmission system. Validity of the proposed method is verified by simulation of a ±200kV, 400MW point-to-point HVDC system (216 sub-modules per arm). © 2015 IEEE.

关键词： Voltage regulators

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Fault-Tolerant Tracking of Multiple Targets in Collaborative Camera Networks

Fault-Tolerant Tracking of Multiple Targets in Collaborative...

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European Control Conference

作者： C. Laoudias P. Tsangaridis M. Polycarpou C. Panayiotou C. Kyrkou T. G. Theocharides KIOS Research Center for Intelligent Systems and Networks and the Dept. of Electrical and Computer Engineering University of Cyprus

ISBN: (纸本)9781467371605

Emerging Camera Sensor Networks (CSN) leverage the collaboration, processing and communication capabilities of modern cameras to handle a wide variety of security and safety-critical tasks, including target tracking. However, the performance of CSN in terms of tracking accuracy can be severely degraded when faults occur. Faults may be caused by unpredictable software errors (e.g., in the image processing, feature extraction and data association modules), hardware malfunctions (e.g., in the camera mechanical parts or lens), or as the result of a malicious attack. We propose a decentralized CSN-based system for tracking multiple targets that mitigates the effect of faulty cameras. According to our findings, the proposed solution can well handle faulty camera observations and is able to reliably track a number of targets that may change over time.

关键词： Cameras Targets faults tracking accuracy Fault tolerance Target tracking lens Lenses

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Application of pattern spectra and convolutional neural networks to the analysis of simulated Cherenkov Telescope Array data

arXiv

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arXiv 2021年

作者： Aschersleben, Jann Peletier, R.F. Vecchi, M. Wilkinson, M.H.F. Abdalla, H. Abe, H. Abe, S. Abusleme, A. Acero, F. Acharyya, A. Portella, V. Acín Ackley, K. Adam, R. Adams, C. Adhikari, S.S. Aguado-Ruesga, I. Agudo, I. Aguilera, R. Aguirre-Santaella, A. Aharonian, F. Alberdi, A. Alfaro, R. Alfaro, J. Alispach, C. Aloisio, R. Batista, R. Alves Amans, J.-P. Amati, L. Amato, E. Ambrogi, L. Ambrosi, G. Ambrosio, M. Ammendola, R. Anderson, J. Anduze, M. Angüner, E.O. Antonelli, L.A. Antonuccio, V. Antoranz, P. Anutarawiramkul, R. Gutierrez, J. Aragunde Aramo, C. Araudo, A. Araya, M. Arbet-Engels, A. Arcaro, C. Arendt, V. Armand, C. Armstrong, T. Arqueros, F. Arrabito, L. Arsioli, B. Artero, M. Asano, K. Ascasíbar, Y. Ashley, M. Attinà, P. Aubert, P. Singh, C.B. Baack, D. Babic, A. Backes, M. Baena, V. Bajtlik, S. Baktash, A. Balazs, C. Balbo, M. Ballester, O. Ballet, J. Balmaverde, B. Bamba, A. Bandiera, R. Larriva, A. Baquero Barai, P. Barbier, C. Martins, V. Barbosa Barcelo, M. Barkov, M. Barnard, M. Baroncelli, L. de Almeida, U. Barres Barrio, J.A. Bastieri, D. Batista, P.I. Batkovic, I. Bauer, C. Bautista-González, R. Baxter, J. Becciani, U. González, J. Becerra Becherini, Y. Beck, G. Tjus, J. Becker Bednarek, W. Belfiore, A. Bellizzi, L. Belmont, R. Benbow, W. Berge, D. Bernardini, E. Bernardos, M.I. Bernlöhr, K. Berti, A. Berton, M. Bertucci, B. Beshley, V. Bhatt, N. Bhattacharyya, S. Bhattacharyya, W. Bhattacharyya, S. Bi, B. Bicknell, G. Biederbeck, N. Bigongiari, C. Biland, A. Bird, R. Bissaldi, E. Biteau, J. Bitossi, M. Blanch, O. Blank, M. Blazek, J. Bobin, J. Boccato, C. Bocchino, F. Boehm, C. Bohacova, M. Boisson, C. Boix, J. Bolle, J.-P. Bolmont, J. Bonanno, G. Bonavolontà, C. Arbeletche, L. Bonneau Bonnoli, G. Bordas, P. Borkowski, J. Bórquez, S. Bose, R. Bose, D. Bosnjak, Z. Bottacini, E. Böttcher, M. Botticella, M.T. Boutonnet, C. Bouyjou, F. Bozhilov, V. Bozzo, E. Brahimi, L. Braiding, C. Brau-Nogué, S. Breen, S. Kapteyn Astronomical Institute University of Groningen PO Box 800 Groningen9700 AV Netherlands Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen PO Box 407 AK GroningenNL-9700 Netherlands Centre for Space Research North-West University Potchefstroom2520 South Africa Institute for Cosmic Ray Research University of Tokyo 5-1-5 Kashiwa-no-ha Chiba Kashiwa277-8582 Japan Pontificia Universidad Católica de Chile Av. Libertador Bernardo O'Higgins 340 Santiago Chile AIM CEA CNRS Université Paris-Saclay Université Paris Diderot Sorbonne Paris Cité CEA Paris-Saclay IRFU/DAp Bat 709 Orme des Merisiers Gif-sur-Yvette91191 France Centre for Advanced Instrumentation Dept. of Physics Durham University South Road DurhamDH1 3LE United Kingdom Port d'Informació Científica Edifici D Carrer de l'Albareda Cerdanyola del Vallès Bellaterrra08193 Spain School of Physics and Astronomy Monash University MelbourneVIC3800 Australia Palaiseau91128 France Department of Physics Columbia University 538 West 120th Street New YorkNY10027 United States University of Oslo Department of Physics Sem Saelandsvei 24 - PO Box 1048 Blindern OsloN-0316 Norway EMFTEL Department IPARCOS Universidad Complutense de Madrid Madrid28040 Spain Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada18008 Spain Campus UAB Carrer de Can Magrans s/n Cerdanyola del Vallés08193 Spain Instituto de Física Teórica UAM/CSIC Departamento de Física Teórica Universidad Autónoma de Madrid Campus de Cantoblanco UAM c/ Nicolás Cabrera 13-15 Madrid28049 Spain Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 Ireland Universidad Nacional Autónoma de México Delegación Coyoacán Ciudad de México04510 Mexico University of Geneva Département de Physique Nucléaire et Corpusculaire 24 rue du Général-Dufour Genève 41211 Switzerland INFN Dipartimento di Scienze Fisiche e Chimiche Università

The Cherenkov Telescope Array (CTA) will be the next generation gamma-ray observatory and will be the major global instrument for very-high-energy astronomy over the next decade, offering 5 - 10 × better flux sensitivity than current generation gamma-ray telescopes. Each telescope will provide a snapshot of gamma-ray induced particle showers by capturing the induced Cherenkov emission at ground level. The simulation of such events provides images that can be used as training data for convolutional neural networks (CNNs) to determine the energy of the initial gamma rays. Compared to other state-of-the-art algorithms, analyses based on CNNs promise to further enhance the performance to be achieved by CTA. Pattern spectra are commonly used tools for image classification and provide the distributions of the shapes and sizes of various objects comprising an image. The use of relatively shallow CNNs on pattern spectra would automatically select relevant combinations of features within an image, taking advantage of the 2D nature of pattern spectra. In this work, we generate pattern spectra from simulated gamma-ray events instead of using the raw images themselves in order to train our CNN for energy reconstruction. This is different from other relevant learning and feature selection methods that have been tried in the past. Thereby, we aim to obtain a significantly faster and less computationally intensive algorithm, with minimal loss of performance. © 2021, CC BY.

关键词： Gamma rays

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A novel approach towards vibration suppression in linear direct feed drive 15

A novel approach towards vibration suppression in linear dir...

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15th International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2015

作者： Chen, Si-Lu Ma, Jun Lian, Xiao Teo, Chek Sing Lin, Wei Tay, Arthur Al Mamun, Abdullah SIMTech-NUS Joint Lab. on Precision Motion Systems Dept. of Electrical and Computer Engineering National University of Singapore Singapore117576 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore117576 Singapore Agency for Science Technology and Research Singapore Institute of Manufacturing Technology Singapore638075 Singapore Department of Mathmatics National University of Singapore Singapore119076 Singapore

ISBN: (纸本)9780956679079

Linear direct feed drives are widely used in high performance equipment and machine tools. However, the abrupt counter force to the machine frame from the secondary part of the linear motor induces possible residue vibration. The jerk decoupling cartridge (JDC) provides a buffer to reduce such an impact, but no existing JDC design considers the factors of closed-loop control together with mechanical parameters, as well as how to obtain optimal parameters under various mechanical and electrical design constraints. This paper presents a linear quadratic optimization approach to design the controller and the JDC. The problem is correctly formulated and the correctness of obtained optimal parameters is verified through a series of simulation.

关键词： Linear motors

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Robust kriged Kalman filtering

Robust kriged Kalman filtering

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49th Asilomar Conference on Signals, systems and computers, ACSSC 2015

作者： Baingana, Brian Dall'Anese, Emiliano Mateos, Gonzalo Giannakis, Georgios B. Dept. of ECE and Digital Technology Center University of Minnesota MinneapolisMN United States National Renewable Energy Laboratory GoldenCO United States Dept. of Electrical and Computer Engineering University of Rochester RochesterNY United States

ISBN: (纸本)9781467385763

Although the kriged Kalman filter (KKF) has well-documented merits for prediction of spatial-temporal processes, its performance degrades in the presence of outliers due to anomalous events, or measurement equipment failures. This paper proposes a robust KKF model that explicitly accounts for presence of measurement outliers. Exploiting outlier sparsity, a novel 1-regularized estimator that jointly predicts the spatial-temporal process at unmonitored locations, while identifying measurement outliers is put forth. Numerical tests are conducted on a synthetic Internet protocol (IP) network, and real transformer load data. Test results corroborate the effectiveness of the novel estimator in joint spatial prediction and outlier identification. © 2015 IEEE.

关键词： Kriging

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Advanced system of operation & quality management for continuous casting machine (CCM) developed by NSENGI 6

Advanced system of operation & quality management for contin...

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6th International Congress on the Science and technology of Steelmaking, ICS 2015

作者： Miyata, Hiroki Minamizato, Kazushige Higashi, Hirofumi Ishizawa, Takashi Matsuoka, Yukihiro Electrical and Automation Systems Engineering Center Technology Headquarters Japan Steel Plant Marketing Dept. Japan Continuous Caster and Rolling Mill Engineering and Development Section Steel Plant Engineering Dept. -II Plant and Machinery Division NIPPON STEEL Sumikin Engineering Co. Ltd. 46-59 Nakabaru Tobata-Ku Kitakyusyu-City Fukuoka Japan

Advanced System of Operation & Quality Management developed by NSENGI is a multi-functional supporting system for operation, maintenance and quality management in Continuous Casting Machine. The introduction of this system can provide a lot of valued solutions such as 1) efficient trouble shooting, 2) stable operation and 3) keeping the sound conditions of plant facilities. Furthermore, this system has incorporated the advanced web technology of high flexibility and expandability, End-users can enjoy the variable options such as expanding and/or modifying the existing contents easily depending on needs at site. In this paper, the main functions and benefits provided by this system are demonstrated.

关键词： Preventive maintenance

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MoS2 U-shape MOSFET with 10 nm channel length and poly-Si source/drain serving as seed for full wafer CVD MoS2 availability

MoS2 U-shape MOSFET with 10 nm channel length and poly-Si so...

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Symposium on VLSI technology

作者： Kai-Shin Li Bo-Wei Wu Lain-Jong Li Ming-Yang Li Chia-Chin Kevin Cheng Cho-Lun Hsu Chang-Hsien Lin Yi-Ju Chen Chun-Chi Chen Chien-Ting Wu Min-Cheng Chen Jia-Min Shieh Wen-Kuan Yeh Yu-Lun Chueh Fu-Liang Yang Chenming Hu National Nano Device Laboratories National Applied Research Laboratories Hsinchu Taiwan Dept. of Material Science and Engineering National Tsing Hua University Hsinchu Taiwan Physical Sci. and Eng. King Abdullah University of Sci. and Technology Kingdom of Saudi Arabia Research Center for Applied Sci. Academia Sinica Taiwan Department of Material Science and Engineering National Chiao Tung University Hsinchu Taiwan Dept. of Electrical Eng. and Computer Sci. University of California Berkeley USA

ISBN: (纸本)9781509006397

A U-shape MoS 2 pMOSFET with 10nm channel and poly-Si source/drain is demonstrated. The fabrication process is simple. Because the Si S/D serves as the nucleation seed for CVD MoS 2 deposition, thin MoS 2 is well deposited in the channel region any where over the fully scale oxide coated Si wafer. This is a big step forward toward a low cost multi-layer stacked TMD IC technology.

关键词： MOSFET circuits Films Logic gates Annealing Silicon Etching Laboratories

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Reducing vehicle weight and improving security by using plastic optical fiber

Reducing vehicle weight and improving security by using plas...

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IEEE Vehicle Power and Propulsion Conference

作者： Ryan Nazaretian G. Marshall Molen Mississippi State University Center for Advanced Vehicular Systems Mississippi State University Dept. of Electrical and Computer Engineering

ISBN: (纸本)9781467376389

Despite the extensive use of communication networks in today's vehicles, the mass of automotive electrical wiring has continued to increase as new technologies evolve. Approximately 100 kg of wire are used in a typical vehicle and the problem is exacerbated for electrified vehicles such as hybrids where additional electronic control circuitry is used along with high current cables for electric propulsion. Another consideration that is of increasing concern is the vulnerability of the network to security breaches where access to the network is illegally acquired or where the network integrity is compromised by electromagnetic interference. This paper describes the use of plastic optical fiber with Ethernet networks to alleviate many of these concerns.

关键词： Controller area network CAN Plastic optical fiber POF Cyber security Weight Automotive PIC32

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