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第35届中国控制会议

作者： HUANG Jie ZHOU Ning CHEN Hongzhi Faculty of Mathematics and Natural Sciences University of Groningen Institute of the Cloud Computing and Big Data for Smart Agriculture and Forestry College of Computer and Information SciencesFujian Agriculture and Forestry University State Key Laboratory of Hybrid Process Industry Automation System and Equipment Technology China Iron and Steel Research Institute Group

ISBN: (纸本)9781509009107

This paper investigates the problem of collision-free coordination tracking control for multi-agent system under modeling uncertainties,actuator faults and *** syncretizing the Null-Space-based Behavioral(NSB) control and finite-time control method,a novel reference velocity signal is predesigned to achieve finite-time obstacle avoidance and coordination *** a set of finite-time coordination control laws are presented to guarantee all the agents to track a dynamic target while avoiding obstacles/***,numerical simulation is presented to demonstrate the efficacy of the control strategy.

关键词： Distributed Control Obstacle Avoidance Fault-tolerant Control Finite-time Control Modeling Uncertainties

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Erratum to: Search for single top-quark production via flavour-changing neutral currents at 8 TeV with the ATLAS detector

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The European Physical Journal C 2022年第1期82卷 1-15页

作者： Aad, G. Abbott, B. Abdallah, J. Abdinov, O. Aben, R. Abolins, M. AbouZeid, O. S. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adamczyk, L. Adams, D. L. Adelman, J. Adomeit, S. Adye, T. Affolder, A. A. Agatonovic-Jovin, T. Agricola, J. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akerstedt, H. Åkesson, T. P. A. Akimov, A. V. Alberghi, G. L. Albert, J. Albrand, S. Alconada Verzini, M. J. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Alimonti, G. Alio, L. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Altheimer, A. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M. G. Amadio, B. T. Amako, K. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amorim, A. Amoroso, S. Amram, N. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, G. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Anger, P. Angerami, A. Anghinolfi, F. Anisenkov, A. V. Anjos, N. Annovi, A. Antonelli, M. Antonov, A. Antos, J. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Arce, A. T. H. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, M. Armbruster, A. J. Arnaez, O. Arnal, V. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Asai, S. Asbah, N. Ashkenazi, A. Åsman, B. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N. B. Augsten, K. Aurousseau, M. Avolio, G. Axen, B. Ayoub, M. K. Azuelos, G. Baak, M. A. Baas, A. E. Baca, M. J. Bacci, C. Bachacou, H. Bachas, K. Backes, M. Backhaus, M. Bagiacchi, P. Bagnaia, P. Bai, Y. Bain, T. Baines, J. T. Baker, O. K. Baldin, E. M. Balek, P. Balestri, T. Balli, F. Banas, E. Banerjee, Sw. Bannoura, A. A. E. Bansil, H. S. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisonzi, M. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barnovska, Z. Baroncelli, A. Barone, G. Barr, A. J. Barreiro, F. Barreiro Guimarães da Costa, J. Bartol CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman USA Institute of Physics Academia Sinica Taipei Taiwan Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam The Netherlands Department of Physics and Astronomy Michigan State University East Lansing USA Department of Physics University of Toronto Toronto Canada Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene USA Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London UK AGH University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Physics Department Brookhaven National Laboratory Upton USA Department of Physics Northern Illinois University De Kalb USA Fakultät für Physik Ludwig-Maximilians-Universität München Munich Germany Particle Physics Department Rutherford Appleton Laboratory Didcot UK Oliver Lodge Laboratory University of Liverpool Liverpool UK Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas-LIP Lisbon Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Rome Italy Dipartimento di Fisica Università di Roma Tor Vergata Rome Italy Fysiska institutionen Lunds uni

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A novel image tag completion method based on convolutional neural transformation

arXiv

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arXiv 2017年

作者： Geng, Yanyan Zhang, Guohui Li, Weizhi Gu, Yi Liang, Ru-Ze Liang, Gaoyuan Wang, Jingbin Wu, Yanbin Patil, Nitin Wang, Jing-Yan Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China Huawei Technologies Co. Ltd. Shanghai China Suning Commerce R&D Center USA Inc. Palo AltoCA94304 United States Analytics & Research Travelers HartfordCT06183 United States King Abdullah University of Science and Technology Saudi Arabia Jiangsu University of Technology Jiangsu213001 China Information Technology Service Center Intermediate People’s Court of Linyi City Linyi China Hebei University of Economics and Business Shijiazhuang050061 China Savitribai Phule Pune University Pune Maharashtra411007 India

In the problems of image retrieval and annotation, complete textual tag lists of images play critical roles. However, in real-world applications, the image tags are usually incomplete, thus it is important to learn the complete tags for images. In this paper, we study the problem of image tag complete and proposed a novel method for this problem based on a popular image representation method, convolutional neural network (CNN). The method estimates the complete tags from the convolutional filtering outputs of images based on a linear predictor. The CNN parameters, linear predictor, and the complete tags are learned jointly by our method. We build a minimization problem to encourage the consistency between the complete tags and the available incomplete tags, reduce the estimation error, and reduce the model complexity. An iterative algorithm is developed to solve the minimization problem. Experiments over benchmark image data sets show its effectiveness. Copyright © 2017, The Authors. All rights reserved.

关键词： Convolution

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Towards multi-functional light-weight long-term real-time coastal ocean observation system 11

Towards multi-functional light-weight long-term real-time co...

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11th ACM International Conference on Underwater Networks and Systems, WUWNet 2016

作者： Jiang, Zhenfeng Ma, Yanming Chen, Jiali Wang, Zigeng Peng, Zheng Liu, Jun Han, Guitao Smart Ocean Industry Research Institute Nantong Jiangsu226000 China Computer Science and Engineering Department University of Connecticut StorrsCT06269 United States Computer Science Deparment City College of New York NY10031 United States Computer Science and Technology Department Jilin University Changchun Jilin130012 China State Key Laboratory of Robotics Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

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Review on requirements modeling and analysis for self-adaptive systems: A ten-year perspective

arXiv

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arXiv 2017年

作者： Yang, Zhuoqun Lib, Zhi Jin, Zhi Zhang, He Institute of Mathematics Academy of Mathematics and Systems Science Chinese Academy of Sciences Haidian Dstr. Beijing100190 China Software Engineering Dept. College of Computer Science and Information Technology Guangxi Normal University Guilin Guangxi541004 China Peking University Haidian Dstr. Beijing100871 China State Key Laboratory of Novel Software Technology Software Institute Nanjing University Hankou Road Nanjing Jiangsu210093 China

Context: Over the last decade, software researchers and engineers have developed a vast body of methodologies and technologies in requirements engineering for self-adaptive systems. Although existing studies have explored various aspects of this field, no systematic study has been performed on summarizing modeling methods and corresponding requirements activities. Objective: This study summarizes the state-of-the-art research trends, details the modeling methods and corresponding requirements activities, identifies relevant quality attributes and application domains and assesses the quality of each study. Method: We perform a systematic literature review underpinned by a rigorously established and reviewed protocol. To ensure the quality of the study, we choose 21 highly regarded publication venues and 8 popular digital libraries. In addition, we apply text mining to derive search strings and use Kappa coefficient to mitigate researchers' disagreements. Results: We selected 109 papers during the period of 2003-2013 and presented the research distributions over various kinds of factors. We extracted 29 modeling methods which are classified into 8 categories and identified 14 requirements activities which are classified into 4 requirements timelines. We captured 8 concerned software quality attributes based on the ISO 9126 standard and 12 application domains. Conclusion: The frequency of application of modeling methods varies greatly. Enterprise models were more widely used while behavior models were more rigorously evaluated. Requirements-driven runtime adaptation was the most frequently studied requirements activity. Activities at runtime were conveyed with more details. Finally, we draw other conclusions by discussing how well modeling dimensions were considered in these modeling methods and how well assurance dimensions were conveyed in requirements *** Codes 68N30 Copyright © 2017, The Authors. All rights reserved.

关键词： Requirements engineering

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Data-Driven PID Controller and its Application to Pulp Neutralization process

Data-Driven PID Controller and its Application to Pulp Neutr...

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第27届中国过程控制会议（CPCC2016）

作者： Yajun Zhang Tianyou Chai Dianhui Wang Yao Jia Wei Dai Key Laboratory of Synthetical Automation for Process Industries (Northeastern University) Department of Computer Science and Information Technology Engineering La Trobe University Department of Information and Electrical Engineering China University of Mining and Technology

The pulp neutralization process is a classic complex industrial process with strong nonlinear and *** processes generally cannot be controlled well using the traditionalproportional-integral-derivative(PID) controller because of the linear feature of that control *** on this problem,a novel PID controlmethod is proposed by integrating multiple technologies,namely,data-driven compensation of un-modelled dynamicsand multi-step ahead of optimal *** the new PID control structure,the measured data from the pulp neutralizationprocess and the historical data from the unmodelled dynamics are fully used,and a data-based unmodelled dynamicscompensator is integrated with a feedback *** the performance of the proposed algorithm further,its stability and convergence are ***,the proposed approach is applied to a cobalt nickel hydroxide pulpneutralization process to solve the problem of the p H value under random disturbances caused by total acid flow duringautoclave leaching,residual acid flow,and feeding pulp p H ***,the simulations are carried out using data froman actual pulp neutralization process,and then industrial experiments confirm the simulation conclusion:the p H value ofthe pulp neutralization process can be effectively maintained within the desired technical range with slight fluctuations.

关键词： Data-Driven PID Controller and its Application to Pulp Neutralization process Controller

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Finite element simulation of eddy currents induced by gradient coils in superconducting MRI

Finite element simulation of eddy currents induced by gradie...

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IEEE International Conference on Computational Electromagnetics (ICCEM)

作者： X. W. Ping Z. H. Zhu X. H. Yin L. Li J. Q. Chen Q. B. Li Collcac of Computer and Information Engineering HoHai University Nanjing Jiangsu China Jiangsu Key Construction Laboratory of Modern Measurement Technology and Intelligent System Huaiyin Normal University Huai'an China

The problem of eddy current generated by the gradient coil in superconducting MRI is discussed. A three-dimensional finite element model is set up to simulate the magnetic flux density generated by the eddy currents of the gradient coil in the patient region. A transversal gradient coil is designed and validated with the three-dimensional finite element method.

关键词： Coils Eddy currents Magnetic resonance imaging Finite element analysis Superconducting magnets Magnetic flux density Magnetic fields

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A Novel User Behavior Prediction and Optimization Algorithm for Single-User Multi-terminal Scenario

A Novel User Behavior Prediction and Optimization Algorithm ...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Hui Zhang Juan Chen Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China Jiangsu Key Lab of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781509035595

For the single-user multi-terminal scenario, a novel user service behavior prediction and optimization algorithm is proposed in this paper, which can realize the accurate prediction of service requirements and optimal selection of service terminals, so as to improve user QoE effectively. Firstly, by using an adaptive feedback based weight correction method, a modified entropy weighted Markov model is formulated to accurately predict user future service states. Secondly, according to the above prediction results, the corresponding heavy-tailed model is used to estimate the service duration. Moreover, by integrating service preferences and terminal attributes, a matching metric of services and terminals is established, and then a terminal selection model is proposed for recommending the optimal service terminal to each user. Simulation results show the effectiveness of proposed algorithm.

关键词： Predictive models Markov processes Optimization Entropy Adaptation models Prediction algorithms Measurement

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Load Balanced Coding Aware Multipath Routing for Wireless Mesh Networks

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Chinese Journal of Electronics 2015年第1期24卷 8-12页

作者： SHAO Xing WANG Ruchuan HUANG Haiping SUN Lijuan College of Computer Nanjing University of Posts and Telecommunications College of Information Engneering Yancheng Institutue of Technology Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology

The growth of network coding opportunities is considered the unique optimization goal by most current network coding based routing algorithms for wireless mesh networks. This usually results in flows aggregation problem in areas with coding opportunities, and degrades the network performance. This paper proposes a Load balanced coding aware multipath routing(LCMR)for wireless mesh networks. To facilitate the evaluation of discovered multiple paths and the tradeoffs between coding opportunity and load balancing, a novel routing metric, Load balanced coding aware routing metric(LCRM) is presented, which considers the load degree of nodes when detects coding opportunities. LCMR could spread traffic over multipath to further balance load. Simulation results demonstrate that LCMR could evenly spread the traffic over the network with increasing network throughput in a heavy load at the expense of some coding opportunities.

关键词： Load balanced Coding aware Multipath Routing Wireless mesh networks.

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A data routing algorithm based on Markov model in underwater wireless sensor networks

A data routing algorithm based on Markov model in underwater...

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IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)

作者： Dongwei Li JingLi Du LinFeng Liu Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing China Laboratory of Computer Network and Information Integration (Southeast University) Nanjing China

ISBN: (纸本)9781509013180

The underwater wireless sensor networks (UWSNs) composed of sensor nodes is deployed underwater for submarine data collection, underwater monitoring, disaster warning, navigation assistance and so on. Since the underwater environment is usually unpredictable, and the nodes move or be damaged easily, so there are several vital objectives in UWSN routing such as the delivery success rate, the error rate and the energy consumption. To this end, we propose a data routing algorithm based on Markov model, which logically transforms the underwater three-dimensional (3D) deployment model into a two-dimensional (2D) model, and thus the nodes are considered to be hierarchically deployed. The data routing is achieved through bottom-top forwarding. In this forwarding mode, the delivery success rate can be improved and the energy consumption can be reduced due to the more stable routing, less forwarding counts and better adaptability to the dynamic load.

关键词： Energy consumption Data models Routing Solid modeling Markov processes Two dimensional displays Wireless sensor networks

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