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arXiv 2020年

作者： Xu, Jialong Ai, Bo Chen, Wei Yang, Ang Sun, Peng Rodrigues, Miguel The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Frontiers Science Center for Smart High-Speed Railway System Beijing100044 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518055 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China vivo Communication Research Institute Beijing100015 China The Department of Electronic and Electrical Engineering University College London LondonWC1E 7JE United Kingdom

Recent research on joint source-channel coding (JSCC) for wireless communications has achieved great success owing to the employment of deep learning (DL). However, the existing work on DL based JSCC usually trains the designed network to operate under a specific signal-to-noise ratio (SNR) regime, without taking into account that the SNR level during the deployment stage may differ from that during the training stage. A number of networks are required to cover the scenario with a broad range of SNRs, which is computational inefficiency (in the training stage) and requires large storage. To overcome these drawbacks our paper proposes a novel method called Attention DL based JSCC (ADJSCC) that can successfully operate with different SNR levels during transmission. This design is inspired by the resource assignment strategy in traditional JSCC, which dynamically adjusts the compression ratio in source coding and the channel coding rate according to the channel SNR. This is achieved by resorting to attention mechanisms because these are able to allocate computing resources to more critical tasks. Instead of applying the resource allocation strategy in traditional JSCC, the ADJSCC uses the channel-wise soft attention to scaling features according to SNR conditions. We compare the ADJSCC method with the state-of-the-art DL based JSCC method through extensive experiments to demonstrate its adaptability, robustness and versatility. Compared with the existing methods, the proposed method takes less storage and is more robust in the presence of channel mismatch. © 2020, CC BY.

关键词： Signal to noise ratio

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Human systems integration and advanced technology in engineering department workload and manpower reduction

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NAVAL ENGINEERS JOURNAL 2003年第1期115卷 57-65页

作者： Lively, KA Seman, AJ Kirkpatrick, M KENNETH A. LIVELY graduated from the University of Colorado with a BS in applied mathematics and an MS in mathematics in 1976 and from the Massachusetts Institute of Technology with an MS in electrical engineering and the degree ocean engineer in naval architecture and marine engineering in 1984. He retired from the U.S. Navy in 1989 after 23 years of service. Assignments included electrical officer on the USS Constellation (CV 64) project engineer for the DDG 51 machinery control system (NAVSEA) and DDG 51 Technical Director (NAVSEA). He was vice president of the PDI Division of Bird-Johnson Company from July 1989 to November 1998 where he managed various gas turbine and machinery controls related development projects. He joined Anteon Corporation's Systems Engineering Group as senior controls engineer in December 1998 where he provided technical support to the integrated power systems program (NAVSEA PMS 510) and managed the Office of Naval Research Afloat Laboratory. DR. MARK KIRKPATRICK is currently an independent consultant in human factors and work-load/manning analysis and modeling. He holds a Ph.D. degree in experimental psychology from The Ohio State University and has 34 years of experience in applied human factors. From 1982 through 2000 Dr. Kirkpatrick served as the senior vice president of Carlow International. Prior to joining Carlow in 1982 Dr. Kirkpatrick served as a member of the technical staff at North American Rockwell's Missiles Division and as a project director and vice president for Essex Corporation. His areas of expertise include workload simulation task analysis operator-in-the-loop simulation human performance experimentation statistical analysis and human factors T&E. He has directed and/or participated in human factors projects for the U.S. Navy U.S. Army NASA Department of Transportation the U.S. Nuclear Regulatory Commission and private industry. ANTHONY J. SEMAN III is the technical manager for the reduced ship's crew by virtual presence (RSVP) advanced technology d

Aboard current ships, such as the DDG 51, engineering control and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems under conditions of normal steaming and during casualty response will need to be markedly reduced via automated monitoring, autonomous control, and other technology initiatives. Current DDG 51 class ships can be considered as a manpower baseline and under Condition III typical engineering control involves seven to eight watchstanders at manned stations in the Central control Station, the engine rooms and other machinery spaces. In contrast to this manning level, initiatives such as DD 21 and the integrated engineering plant (IEP) envision a partnership between the operator and the automation system, with more and more of the operator's functions being shifted to the automation system as manning levels decrease. This paper describes some human systems integration studies of workload demand reduction and, consequently, manning reduction that can be achieved due to application of several advanced technology concepts. Advanced system concept studies in relation to workload demand are described and reviewed including. Piecemeal applications of diverse automation and remote control technology concepts to selected high driver tasks in current DDG 51 activities. Development of the reduced ship's crew by virtual presence system that will provide automated monitoring and display to operators of machinery health, compartment conditions, and personnel health. The IEP envisions the machinery control system as a provider of resources that are used by various consumers around the ship. Resource needs and consumer priorities are at all times dependent upon the ship's current mission and the availability of equipment pawnbrokers.

关键词： Naval warfare

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Imitation Simulator for PID controller Adjustment

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IOP Conference Series: Materials Science and engineering 2020年第1期986卷

作者： M E Kremenetskaya A A Shkromado E A Bulkaeva Control Engineering and System Analysis Department Samara State Technical University 244 Molodogvardeyskaya Street Samara 443100 Russia Electromechanics and Industrial Automation Department Syzran Branch of Samara State Technical University 45 Sovetskaya Street Syzran 446001 Russia Refining Engineering Department All-Russian Research Institute for Oil Refining 6/2 Aviamotornaya Street Moscow 111116 Russia

The article contains the description of the structure and functionality of the developed imitation simulator of PID controllers adjustment, which makes it possible to setup their typical modifications on the example of a hypothetical technological process taking into account the peculiarities of real contollers and restrictions, introduced by actuators and control signals.

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Corrigendum to “Experiment of proof-of-principle on prompt gamma-positron emission tomography (PG-PET) system for in-vivo dose distribution verification in proton therapy” [Nucl. Eng. Technol. 55 (2023) 2018–2025]

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Nuclear engineering and Technology 2024年第5期56卷 1942-1942页

作者： Bo-Wi Cheon Hyun Cheol Lee Sei Hwan You Hee Seo Chul Hee Min Hyun Joon Choi Department of Radiation Convergence Engineering Yonsei University 26493 Wonju South Korea Nuclear Materials Analysis Team Korea Institute of Nuclear Nonproliferation and Control Daejeon 34054 South Korea Department of Radiation Oncology Wonju Severance Christian Hospital Yonsei University Wonju College of Medicine Wonju South Korea Department of Quantum System Engineering Jeonbuk National University Jeonju South Korea

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[Retracted] IOT and Blockchain-Based Cloud Model for Secure Data Transmission for Smart City

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Security and Communication Networks 2023年第1期2023卷

作者： Liwa H. Al-Farhani Yahya Alqahtani Hamdan Ali Alshehri R. John Martin Sachin Lalar Rituraj Jain System Analysis Control and Information Processing Academy of Engineering RUDN University Moscow Russiarudn.ru Faculty of Computer Science and Information Technology Jazan University Saudi Arabiajazanu.edu.sa Department of Computer Science and Applications Kurukshetra University Kurukshetra Indiakuk.ac.in Department of Electrical and Computer Engineering Wollega University Nekemte Ethiopiawollegauniversity.edu.et

The widespread use of the Internet of Things (IoT) technology has both good and bad things about it. There must be a full and reliable security system in place for the Internet of Things so that things can work together in a safe way and intrusions cannot happen. There are now many more ways to keep the Internet of Things safe, thanks to a detecting system. As machine learning and deep learning technologies have become better, a lot of good intrusion detection systems have been made. This kind of study is covered. These two types of security are compared in this study. The current machine-based intrusion detection system is broken down into more detailed categories based on detection technology, data source, architecture, and operating method. These categories are as follows: It is talked about how IoT security will grow in the future and how to understand its intrusion detection system too. In this paper, a cloud-based blockchain security model has been presented for secure data transmission over IoT.

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Steady‐state security evaluation of electrical power systems by means of artificial neural network

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European Transactions on Electrical Power 1995年第2期5卷 91-97页

作者： Chiodo, E. Menniti, D. Testa, A. Picardi, C. Elio Chiodo (1959) received the degree in Electronics Engineering in 1985 and the Ph.D. degree in Computational Statistics both from the University of Naplefltaly. He is a Researcher at the Department of Electrical Engineering of the University of Naples and a member of the Italian Statistical Society. His areas of interest include probabilistic methods applied to electric power systems analysis. (University of Naples Fedrrico 11. Electrical Engineering Dept.via Claudio 21 1-80125 Naplefltaly T +3981/7683226 Fax+3981/2396897) Daniele Menniti (1958) received the degree in Electrical Engineering from the University of Calabria. Cosenzataly and the Ph.D. degree in Electrical Engineering from the University of NapleslItaly in 1984 and 1989 respectively. He is a researcher at the Electronic. Computer and Systems Science Department of the University of Calabria. Italy. Hiscurrent research interests concern electric power system analysis real-time control and automation. (University of Calabria Electronic Computer and Systems Science Dep. Arcavacataji Rende (CS). 1-87036 CosenzdItaly T +39984/494707. Fax +39984/4947 13) Alfredo Testa (1950) received the degree in Electrical Engineering from the University of Naples/Italy in 1975. He is an Associate Professor in Electrical Power Systems at the Department of Electrical Engineering of the University of Naples. He is engaged in researches on electrical power systems reliability and harmonic analysis. (University of Naples Federico 11. Electrical Engineering Dep. via Claudio '2 1 1-80 I25 NapleslItaly T + 39 8 I/7 68 3'2 11. Fax+3981/2396897) Ciro Picardi (1949) received the degree in Electronics Engineering from the University of Naples/Italy in 1975. He is currently Associate Professor in Process Control at the Department of Electronic Computer and System Science of the University of Calabria. Italy. His current research interests are in the area of electrical drives robotics neural networks and fuzzy control. (University of Calabria Electronic. Compu

An artificial‐neural‐network (ANN) application for steady‐state security evaluation of electrical power systems is presented. Such application is based upon a combined use of a multilayer back‐propagation neural network and of an opportune electrical system model, previously proposed by some of the authors. In the paper, the definition of steady‐state security and the problems arising from its on‐line evaluation are briefly recalled. Then, the ANN utilized is described with particular reference to the solutions adopted by the authors. Afterwards, some remarks on the system model utilized are reported. Finally, numerical applications on the AEP‐14 bus system are presented and the results obtained with different ANN configurations are analyzed. Copyright © 1995 John Wiley & Sons, Ltd.

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GPS SYNCHRONIZED POWER-system PHASE-ANGLE MEASUREMENTS

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INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS 1994年第5期12卷 499-505页

作者： WILSON, RE STERLINA, PS Department of Electrical Engineering University of Wyoming Laramie WY 82071 USA. Worked as a power systems engineer from 1980 to 1990 and during the summer of 1992 for the Western Area Power Administration U.S. DOE. His job assignments included relay settings technical analysis time-keeping networks and major equipment commissioning. Bob Wilson is currently the Nicholson Visiting Assistant Professor at the University of Wyoming. His research interests include power system control through real-time measurements and applications of precise timekeeping. He is a member of the IEEE Power Engineering Society and is helping to co-ordinate the Precise Measurements in Power Systems Conference. Macrodyne Inc. Clifton Park NY 12065 USA. Engineering Manager for Macrodyne Inc. Clifton Park NY. Mr Sterlina has been involved in the conception and design of transient recording devices for both transmission and distribution applications. He has been responsible for developing several versions of digital recording instruments and programs for utility applications and managed development of the 1690 and 1692 phasor measurement and integrated recording units. He is a member of the Power Engineering Society and a PSIT working group on the application of Digital Techniques in Electrical Measurement.

Before a major new 500 kV transmission line was placed in service between Oregon and the San Francisco, California area, a series of high-voltage short circuit tests were performed on the transmission system. The short circuit faults produced a brief 'delta function' shock to the regional power system. This paper discusses the use of Global Positioning system (GPS) synchronized equipment for the measurement and analysis of key power system quantities. Before the testing, the authors installed two GPS synchronized phasor measurement units (PMUs). The PMUs use GPS to globally synchronize the measurement of the state vector of the power system, the complex voltages of substation busses. Complex voltage means the magnitude and the relative phase angles of substation voltages. GPS provides the global time reference marker for phase angle measurement. One electrical degree of the 60 Hz waveform equals about 46 mus. Across short transmission lines (less than 50 km), measurements may need to be made to 0.1 electrical degree, which translates to clock synchronizations of roughly 5 mus. The PMUs recorded the dynamic response of the power system phase angles when the northern California power grid was excited by the artificial short circuits. Power system planning engineers perform detailed computer generated simulations of the dynamic response of the power system to naturally occurring short circuits, e.g. faults caused by lightning. The computer simulations use models of transmission lines, transformers, circuit breakers, and other high voltage components. This work will compare computer simulations of the same event with field measurements.

关键词： POWER system PHASE ANGLE STAYED FAULT TESTS

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A pattern recognition approach for steady‐state security evaluation of an electrical power system

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European Transactions on Electrical Power 1991年第5期1卷 243-251页

A new pattern recognition approach to steady‐state security evaluation of electrical power systems is presented. Such approach is based upon a combined use of the „nearest‐neighbour” method and of an opportune system model ‐ previously proposed by the authors ‐for the basis of knowledge generation. In the first part of the paper, the definition of steady‐state security and the problems arising from its on‐line evaluation are briefly recalled. Then, the pattern recognition approach proposed is described in some detail, and its ability in order to overcome the computational drawbacks of traditional methods is illustrated. Afterwards, some remarks on the system model utilized are reported. Finally, a numerical experiment with reference to the AEP 14 bus test system is presented, showing very encouraging results. Copyright © 1991 John Wiley & Sons, Ltd.

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Announcements, comments, and acknowledgments

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AIAA Journal 2006年第1期44卷 1-10页

作者： Oran, Elaine Kailasanath, Kazhikathra Aggarwal, Suresh K. Ahmadian, Mehdi Alexandrov, Natalia Auweter-Kurtz, Monika Bailly, Christophe Balachandran, Balakumar Berman, Alex Candler, Graham V. Chelliah, Harsha K. Chokani, Ndaona Fujii, Kozo Gaitonde, Datta V. Ghia, Kirti Karman N. Givi, Peyman Gore, Jay P. Kaplan, Carolyn R. Livne, Eli Lucht, Robert P. Messac, Achille Wing, N.G. Palazotto, Anthony N. Pierre, Christophe Plotkin, Allen Roy, Ajit K. Saigal, Sunil Sforza, Pasquale M. Shivakumar, Kunigal N. So, Ronald M.C. Springer, Anthony M. Anatolitumin, Anthony M. Zhong, Xiaolin United States Division of Computational Physics United States United States AIAA United States APS United States National Academy of Engineering United States Center for Reactive Flow and Dynamical Systems Naval Research Laboratory United States Institute of Physics Department of Mechanical Engineering University of Illinois at Chicago United States ASME Combustion Institute Department of Mechanical Engineering Virginia Polytechnic Institute State University United States Aeronautics Systems Analysis Branch NASA Langley Research Center United States SIAM ISSMO Aerospace Engineering Institute of Space Systems Universität Stuttgart Germany Amelia Earhart Italy International Amelia Earhart Award Committee Italy France France Mechanical Engineering University of Maryland College Park United States AAM SPIE ASA ASME Technical Committees of Multi-Body Systems Nonlinear Dynamics Dynamics and Control of Structures and Systems American Helicopter Society United States Aerospace Engineering and Mechanics University of Minnesota United States AIAA Thermophysics Technical Committee Mechanical and Aerospace Engineering University of Virginia United States AIAA Propellants and Combustion Technical Committee AIAA's Transition Study Group Aerodynamics Measurement Technology Technical Committee Thermophysics Technical Committee Japan MOSAIC project on the Technology Pressure-sensitive Paint Measurement System Japan High-Speed Flows Group Air Vehicles Directorate Air Force Research Laboratory Wright-Patterson Air Force Base United States Wright State University United States Aerospace Engineering and Engineering Mechanics United States United States Mechanical Engineering University of Pittsburgh United States School of Mechanical Engineering Purdue University United States Committee on Heat Transfer in Fire and Combustion Systems Japan Board of Advisors Central States Section Combustion Institute United States AIChE United States Tau Beta Pi United States

No abstract available

关键词： Institute of Space and Astronautical Science American Society of Mechanical Engineers Direct Numerical Simulation Aerospace engineering MDO Propellant Air Forces Aerodynamics Heterogeneous Combustion NASA Langley Research Center

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Increase in accuracy forecast for electrical energy consumption of the WEM subjects using fuzzy neural networks

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IOP Conference Series: Materials Science and engineering 2020年第1期791卷

作者： Ya P Fedorov V L Burkovsky A L Rutskov Corporate finance department and corporate management of the Financial University under the Government of the Russian Federation Leningradsky prospect 49 Moscow 125993 Russia Department of electric drive automation and control in an engineering system Voronezh State Technical University Moscow prospect 179 Voronezh 394066 Russia Forecasting department of electricity balance power and loss analysis branch office OJSC «IDGC Centre» - «Voronezhenergo» Arzamaskaya 2 Voronezh 394033 Russia

This paper covers in depth functioning essence of the balancing electricity market in the Russian Federation in accordance with the current economic stimuli. Significant role of the prediction process for energy resources consumption has been noted, which has a direct influence on a pricing policy within the marked trade area. analysis of different factors, that impact execution accuracy of the one day in advance model, was conducted. Problem of the weakly defined and unknown parameters, that influence the performance of the balancing electricity market, is suggested to resolve by means of fuzzy neural controller. The paper presents its structure and settings, and possibility to scale it to use not only as an analyzer but as an executive element in the subsystems of electric power systems. High accuracy performance of the fuzzy neural controller was shown - around (0,5-3) %, that is much higher than methods already in use (for instance, based on a coefficient of decline/growth of power consumption).

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