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IEEE International Symposium on Broadband Multimedia systems and Broadcasting (BMSB)

作者： Yixin Zhang Junli Mao Lishui Chen Yuanyuan Wang Yang Yang Peng Yu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China The 54th Research Institute of CETC Shijiazhuang Hebei China Science and Technology on Information System Engineering Laboratory Beijing Institute of Control and Electronic Technology Beijing China

ISBN: (数字)9781728157849

ISBN: (纸本)9781728157856

Edge computing can provide quality assurance for multimedia services. In order to protect the environment, many communities have begun to use green energy, so we add this status to the formulation of the computation offloading mechanism. In this paper, we investigate the computation offloading mechanism for multimedia services in green smart community. First, we introduce a dynamic adjustment mechanism for unit cost of local energy consumption, which makes our algorithm more flexible. Then, we propose a computation offloading mechanism, which aims to decouple the optimization problem and minimize the system cost. We model the computational task offloading decision problem as a distributed potential game, and solve the resource allocation problem using mathematical methods and theories such as Lagrange multiplier method, KKT condition, gradient descent, bisection method, and we also design a CBPA (Computation resource and bandwidth and transmission power allocation) algorithm to optimize edge computing. Finally, simulation results show that the computation offloading mechanism proposed in this paper is effective.

关键词： Energy consumption Smart cities Heuristic algorithms Simulation Green products Resource management Edge computing

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A Nonnegativity-Constraint Sparse Stacked Denoising Autoencoder for Anomaly Detection in Electric Power Communication Network

A Nonnegativity-Constraint Sparse Stacked Denoising Autoenco...

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IEEE International Symposium on Broadband Multimedia systems and Broadcasting (BMSB)

作者： Zhuo Tao Yong Yan Yang Yang Yuanyuan Wang Jiang Luo State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China State Grid Zhejiang Electric Power Company LTD Zhejiang China Science and Technology on Information System Engineering Laboratory Beijing Institute of Control and Electronic Technology Beijing China

ISBN: (数字)9781728157849

ISBN: (纸本)9781728157856

As the scale of the electric power communication network is getting larger and larger, network security issues are becoming more and more complex. as an effective protection method, network traffic anomaly detection can provide important technical support for network situation awareness. In some cases, plenty of labeled data are unavailable, which may lead to low detection accuracy. To deal with this problem, a nonnegativity-constraint sparse stacked denoising autoencoder(NSSDAE) is proposed. Meanwhile, we propose a method called dynamic parameter freezing(DPF) for parameter transfer, which allows to find the best performance that may exist between the freezing and fine-tuning within a layer by adjusting the variable alpha. And discriminative joint probability maximum mean discrepancy is introduced for distribution adaptation. The results for NSL-KDD show that the proposed NSSDAE-TL algorithm is effective.

关键词： Noise reduction Telecommunication traffic Power systems Communication networks Security Multimedia communication Anomaly detection

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SASRM: A Semantic and Attention Spatio-temporal Recurrent Model for Next Location Prediction

SASRM: A Semantic and Attention Spatio-temporal Recurrent Mo...

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International Joint Conference on Neural Networks (IJCNN)

作者： Xu Zhang Boming Li Chao Song Zhengwen Huang Yan Li Department of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data(PSPRC) China Academy of Electronics and Information Technology Beijing China Department of Electronic and Computer Engineering Brunel University London London United Kingdom Department of Computer Engineering Inha University Incheon South Korea

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Predicting user's next location is of great importance for a wide spectrum of location-based applications. However, most prediction methods do not take advantage of the rich semantic information contained in trajectory data. Meanwhile, the traditional LSTM-based model can not capture the spatio-temporal dependencies well. In this paper, we propose a Semantic and Attention Spatio-temporal Recurrent Model (SASRM) for next location prediction. Firstly, the SASRM put forward a method for encoding semantic vectors and concatenating vectors (location, time and semantic vectors) as input to the model. To capture the spatio-temporal dependencies, we design a variant recurrent unit based on LSTM. Further, an attention layer is used to weight hidden state to capture the influence of the historical locations on the next location prediction. We perform experiments on two real-life semantic trajectory datasets, and evaluation results demonstrate that our model outperforms several state-of-the-art models in accuracy.

关键词： Semantics Trajectory Hidden Markov models Predictive models Logic gates Analytical models Training

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Trajectory Optimization for Long-Range Air-Defense Missile with a Constraint on Capability of Error Correction

Trajectory Optimization for Long-Range Air-Defense Missile w...

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第三十八届中国控制会议

作者： Shoukun LV Mingchun CAI ZHOU Di ZHOU Zicai WANG Beijing Institute of Electronic System Engineering Department of Control Science and Engineering Harbin Institute of Technology Center of Control and Simulation Harbin Institute of Technology

A method of designing optimal parabolic trajectory for long range air-defense interceptor missile with a constraint on capability of error correction in its terminal guidance phase is proposed. In this method a constraint condition on the error correction capability in finite terminal guidance phase for the missile with bounded acceleration is presented to replace the traditional constraint on instantaneous normal acceleration. A minimum time problem under the constraint is solved using the nonlinear programming optimal control theory. Simulation results for some typical scenarios of long range interception show that the optimal trajectories satisfy a series of constraints including not only the error correction capability, but also the constraint on and maximum angle of attack, and the constraints on terminal flight path angle and terminal velocity.

关键词： Interceptor Trajectory optimization Constraint Nonlinear programming

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control design considering magnetic flux characteristic uncertainty for magnetic levitation system with magnetic flux and current feedback

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on electronics, Information and systems 2019年第10期139卷 1159-1166页

作者： Urasaki, Shinpachiro Kobayashi, Yoshimitsu Kami, Yasushi Mitani, Yuichiroh Nobuyama, Eitaku Department of Electronic Control Engineering National Institute of Technology Gifu College 2236-2. Kamimakuwa. Motosu. Gifu 501-0495 Japan Department of Electrical and Computer Engineering National Institute of Technology Akashi College 679-3. Nishioka. Uozumi Akashi. Hyogo674-8501 Japan Department of Mechanical Engineering National Institute of Technology Numazu College 3600. Ooka. Numazu Shizuoka410-8501 Japan Department of Systems Innovation and Informatics Faculty of Computer Science and System Engineering Kyushu Institute of Technology 680-4.Kawazu. Iizuka Fukuoka820-8502 Japan

This paper describes control design considering magnetic flux characteristic uncertainty for magnetic levitation system with magnetic flux and current feedback. The position of the levitated object is calculated from the hall voltage and current of the electromagnet. We show the uncertainty for magnetic flux characteristic and design the stabilizing controller by proportional feedback with the hall voltage and current. Moreover, we tried to design servo controller by two-degree-of-freedom control by using a finite number of frequency response (FNFR) model including the uncertainty and confirmed the validity of the proposed method by experiment results. © 2019 The Institute of Eleclrical Engineers of Japan.

关键词： Frequency response

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Efficient MedSAMs: Segment Anything in Medical Images on Laptop

arXiv

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arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

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Development of power drive technology for high lift system of commercial aircraft

Development of power drive technology for high lift system o...

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CSAA/IET International Conference on Aircraft Utility systems (AUS 2020)

作者： T. Liu Y. Zhang W. Wang J. Ju W. Yu Shanghai Aircraft Design and Research Institute Department of Flight Control System China Commercial Aircraft Corporation of China Ltd. Department of Science and Technology Management China Shanghai Jiaotong University Department of Automation School of Electronic Information and Electrical Engineering China

In this paper, the development of power driving technology for high lift system of modern commercial aircraft is presented. Three kinds of power driving technical schemes of high lift system are demonstrated together with their characteristics. Various applications of power drive technology on present mainstream aircrafts have been addressed and analyzed respectively. In addition to the analysis of existing power drive technology, this work presented that distributed electric power drive technology could be a potential future development trend. The paper can be read as a reference for selecting power driving technical scheme of high lift systems at conceptual design phase of a commercial aircraft.

关键词： aircraft power systems aircraft design engineering electric drives

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An immunology-inspired network security architecture

arXiv

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arXiv 2020年

作者： Yu, Quan Ren, Jing Zhang, Jiyan Liu, Siyang Fu, Yinjin Li, Ying Ma, Linru Jing, Jian Zhang, Wei Peng Cheng Laboratory Shenzhen China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Beijing Institute of Brain Sciences Beijing China Department of Electronic and Engineering Shanghai Jiao Tong University Shanghai China System Engineering Research Institute Beijing China State Key Laboratory of Pharmaceutical Biotechnology School of Life Sciences Nanjing University Nanjing China School of Electrical Engineering & Telecommunications University of New South Wales Sydney Australia

The coming 5G networks have been enabling the creation of a wide variety of new services and applications which demand a new network security architecture. Immunology is the study of the immune system in vertebrates (including humans) which protects us from infection through various lines of defence. By studying the resemblance between the immune system and network security system, we acquire some inspirations from immunology and distill some guidelines for the design of network security architecture. We present a philosophical design principle, that is maintaining the balance between security and availability. Then, we derive two methodological principles: 1) achieving situation-awareness and fast response through community cooperation among heterogeneous nodes, and 2) Enhancing defense capability through consistently contesting with invaders in a real environment and actively mutating/evolving attack strategies. We also present a reference architecture designed based on the principles. Copyright © 2020, The Authors. All rights reserved.

关键词： Network security

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AI and Reading Fluency for Brazilian Portuguese: A Preliminary Study

SSRN

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SSRN 2023年

作者： Rodrigues, Aline Do Nascimento Ribeiro, Gabriela L. Silva, Victor H.A. Carvalho, Wesley S. Ramírez, Miguel A. Alves, Luciana M. Finger, Marcelo Navas, Ana Luiza G.P. Ribeiro, Carlos H.C. Computer Science Division Aeronautics Institute of Technology Praça Mal. Eduardo Gomes 50 SP Sao Jose dos Campos12228-900 Brazil Federal University of Minas Gerais Medicine Faculty Department of Speech Therapy Av. Prof. Alfredo Balena 190 MG Belo Horizonte30130-100 Brazil University of Sao Paulo Escola Politecnica Department of Telecommunications and Control Engineering Av. Prof. Luciano Gualberto trav. 3 158 SP Sao Paulo05508-010 Brazil University of Sao Paulo Institute of Mathematics and Statistics Department of Computer Science Rua do Matao 1010 SP Sao Paulo05508-090 Brazil University of Sao Paulo Escola Politecnica Department of Electronic Systems Engineering Av. Prof. Luciano Gualberto trav. 3 158 SP Sao Paulo05508-010 Brazil School of Medical Sciences of Santa Casa de Sao Paulo Department of Speech Therapy R. Dr. Cesario Motta Jr. 61 SP Sao Paulo01221-020 Brazil

Automatic assessment of oral reading fluency — either for completely autonomous operation or as a facilitator for human decision making — is a likely requirement for timely interventions regarding educational policies for Literacy, especially at the initial years of formal Education. Countries with huge populations such as Brazil have a more urgent demand for such automated procedures, considering the scale of the evaluation needs and the disproportional lack of specialized personnel, compared to more advanced countries. Nevertheless, computational methods as educational aids for Literacy evaluation have been developed mainly for English and other languages associated with those high income countries. Therefore there is an obvious need for studies on languages and countries (especially those with large educational populations) that are less developed. We report on a computational model for fluency assessment based on an automatic speech recognizer (ASR) readily available in the software literature, trained via a deep learning model on a publicly available dataset for Brazilian Portuguese. The model was previously trained for ASR purposes, and therefore was not designed for Literacy assessment of children, this aspect was dealt with through a series of pre and post-processing of the audio samples. Extensive comparative results on reading oral fluency for standardized assessment texts considering the proposed automated process compared to a benchmark by human expert annotations showed a high matching for measures on word and word error rates, despite the fact that the learning model did not include samples from the target population. © 2023, The Authors. All rights reserved.

关键词： Computational methods

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Dual Grid Voltage Modulated Direct Power control of Grid-Connected Voltage Source Converter under Unbalanced Network Condition

Dual Grid Voltage Modulated Direct Power Control of Grid-Con...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Gao, Shuning Zhao, Haoran Gui, Yonghao School of Electrical Engineering Shandong University Ji'nan250061 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Ji'nan250061 China Automation and Control Section Department of Electronic Systems Aalborg University Aalborg Denmark

ISBN: (纸本)9781728135205

The Grid voltage Modulated Direct Power control (GVM-DPC) for Voltage Source Converter (VSC) is a recently proposed superior control strategies which features several advantages such as fast power reference tracking, simple structure, no need to use synchronizing techniques, strong robustness and so on. In this paper, an improved Dual Grid Voltage Modulated Direct Power control (D-GVM-DPC) strategies for unbalanced grid voltage condition is proposed and compared with regular voltage oriented dual PI control techniques. The idea of this improvement is to separately control the positive and negative sequence power components based on the original GVM-DPC controller. The simulation results shows that the proposed strategy is superior to the dual current control schemes been used with voltage oriented control strategy. © 2019 IEEE.

关键词： Electric power transmission networks

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