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Journal of Software 2013年第1期8卷 243-250页

作者： Wang, Zhuxiao Guo, Jing Chen, Fei Wu, Kehe Wang, Peng School of Control and Computer Engineering State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University 102206 Beijing China National Computer Network Emergency Response Technical Team Coordination Center of China 100029 Beijing China School of Control and Computer Engineering North China Electric Power University 102206 Beijing China Institute of Information Engineering Chinese Academy of Sciences 100195 Beijing China

As a family of dynamic description logics, DDL(X) is constructed by embracing actions into the description logic X, where X represents well-studied description logics ranging from the ALC to the SHOIQ. To efficiently support automated interoperability between ontology-based information systems in distributed environments, we have to design an expressive mapping language to semantically understand resources from remote and heterogeneous systems. Distributed Dynamic Description Logics D3L(X) is a natural generalization of the DDL(X) framework, which is designed to model the distributed dynamically-changing knowledge repositories interconnected by semantic mappings and to accomplish reasoning in distributed, heterogeneous environments. In this paper, we propose an extension of Distributed Dynamic Description Logics D3L(X) and investigate the reasoning mechanisms in D3L(X). © 2013 ACADEMY PUBLISHER.

关键词： Interoperability

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Erratum to “Consensus seeking over directed networks with limited information communication” [Automatica 49 (2) (2013) 610–618]

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Automatica 2014年第9期50卷 2430-2431页

作者： Dequan Li Qipeng Liu Xiaofan Wang Zongli Lin School of Science Anhui University of Science and Technology Huainan 232001 Anhui Province PR China Department of Automation Shanghai Jiao Tong University Shanghai 200240 PR China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 PR China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 USA

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Minkowski sum modeling of polyhedra based on VRML

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ICIC Express Letters 2013年第2期7卷 455-460页

作者： Zhang, Jianfei Guo, Xijuan Geng, Qingjia Information Science and Engineering College Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province No. 438 Hebei Ave. Qinhuangdao 066004 China Computer and Control Engineering College Qiqihar University No. 42 Wenhua Street Qiqihar 161006 China

On the basis of the introduction to basic methods of the geometry modeling based on virtual reality modeling language (VRML) and the concepts of Minkowski sum computation of polyhedra, we present a method of Minkowski sum computation and three dimensional modeling based on VRML. The method can simplify Minkowski sum computation of general polyhedra, and experimental results indicate that this method can calculate Minkowski sum of general polyhedra much faster and realize three-dimensional representation more accurately. This method can provide important technical references for Minkowski sum visualization of polyhedra. © 2013 ISSN 1881-803X.

关键词： Geometry

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7th Drug hypersensitivity meeting: part two Malaga, Spain. 21-23 April 2016 abstracts

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CLINICAL AND TRANSLATIONAL ALLERGY 2016年第SUPPL 3期6卷 30-30页

作者： [Anonymous] Hospital de la Cruz Roja Madrid Spain Allergy Unit Hospital Central Cruz Roja Madrid Spain Allergy Unit Hospital Central de la Cruz Roja Madrid Spain IIS La Fe Valencia Spain Department of Internal Medicine Faculty of Medicine Celal Bayar University Manisa Turkey Department of Allergy and Immunology Faculty of Medicine Celal Bayar University Manisa Turkey Department of Dermatology Faculty of Medicine Celal Bayar University Manisa Turkey Department of Pathology Faculty of Medicine Celal Bayar University Manisa Turkey Department of Dermatology Chang Gung Memorial Hospital Linkou Taiwan Department of Dermatology Drug Hypersensitivity Clinical and Research Center Chang Gung Memorial Hospital Linkou Taiwan Serviço de Imunoalergologia Centro Hospitalar de São João E.P.E. Porto Portugal Laboratório de Imunologia Faculdade de Medicina Universidade do Porto Porto Portugal Centro Hospitalar de São João Porto Portugal Federal University of São Paulo São Paulo Brazil Federal University of Rio de Janeiro Rio De Janeiro Brazil Pontificia Universidade Católica de Campinas Campinas Brazil Private Practice Goiania Brazil Department of Allergy and Clinical Immunology Ege University Medical Faculty Izmir Turkey Ege University Medical Faculty Izmir Turkey Hospital Central de la Defensa IMIDEF Madrid Spain Centro Hospitalar de Lisboa Central Hospital de Dona Estefânia Lisbon Portugal Faculty of Medicine University hospital University of Monastir Monastir Tunisia Faculty of Medicine and Health Sciences Department of Immunology Allergology Rheumatology and Antwerp University Hospital Immunology Allergology Rheumatology University of Antwerp Antwerp Belgium Allergy Unit Complesso Integrato Columbus Rome Italy IRCCS Oasi Maria S.S. Troina Italy Immunoallergy Department - Hospital de Santa Maria Centro Hospitalar Lisboa Norte Lisbon Portugal Faculdade de Medicina de Lisboa Lisbon Portugal Serviço de Imunoalergologia Hospital de São Bernardo Setúbal Port

Poster walk 11: miscellaneous drug hypersensitivity 2 (P92–P94, P96–P101) P92 16 years of experience with proton pump inhibitors (PPIs) Javier Dionicio Elera, Cosmin Boteanu, Maria Aranzazu Jimenez Blanco, Rosario Gonzalez-Mendiola, Irene Carrasco García, Antonio Alvarez, Jose Julio Laguna Martinez P93 Allergy evaluation of quinolone induced adverse reactions Jaume Martí Garrido, Carla Torán Barona, Carolina Perales Chorda, Ramón López Salgueiro, Miguel Díaz Palacios, Dolores Hernández Fernández De Rojas P94 Bupropion-induced acute urticaria and angioedema, a case report Emre Ali Acar, Ayse Aktas, Aylin Türel Ermertcan, Peyker Temiz P96 Delayed type hypersensitivity and study of cross-reactivity between proton-pump inhibitors Chien-Yio Lin, Chung-Yee Rosaline Hui, Ya-Ching Chang, Chih-Hsun Yang, Wen-Hung Chung P97 Diagnostic work-up in suspected hypersensitivity to proton-pump inhibitors: looking at cross-reactivity Fabrícia Carolino, Diana Silva, Eunice Dias De Castro, Josefina R. Cernadas P98 Management of infusion-related hypersensitivity reactions to enzyme replacement therapy for lysosomal diseases Luis Felipe Ensina, Carolina Aranda, Ines Camelo Nunes, Alex Lacerda, Ana Maria Martins, Ekaterini Goudouris, Marcia Ribeiro, José Francisco Da Silva Franco, Leandra Queiroz, Dirceu Solé P99 Management of insulin allergy with continuous subcutaneous insulin infusion Ceyda Tunakan Dalgiç, Aytül Zerrin Sin, Fatma Düsünür Günsen, Gökten Bulut, Fatma Ömür Ardeniz, Okan Gülbahar, Emine Nihal Mete Gökmen, Ali Kokuludag P100 Off-label use of icatibant for management of serious angioedema associated with angiotensin inhibitors Ana M. Montoro De Francisco, Talía Mª De Vicente Jiménez, Adriana M. Mendoza Parra, Angella M. Burgos Pimentel, Amelia García Luque P101 Thiocolchicoside anaphylaxis: an unusual suspect? Luis Amaral, Fabricia Carolino, Leonor Carneiro Leão, Eunice Castro, Josefina Cernadas Poster walk 12: betalactam hypersensitivity (P102–P111) P102 A curious dela

关键词： Quinolone Allergy

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Robust visual tracking based on online learning of joint sparse dictionary

Robust visual tracking based on online learning of joint spa...

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6th International Conference on Machine Vision, ICMV 2013

作者： Li, Qiaozhe Qiao, Yu Yang, Jie Bai, Li Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China School of Computer Science University of Nottingham Nottingham United Kingdom

ISBN: (纸本)9780819499967

In this paper, we propose a robust visual tracking algorithm based on online learning of a joint sparse dictionary. The joint sparse dictionary consists of positive and negative sub-dictionaries, which model foreground and background objects respectively. An online dictionary learning method is developed to update the joint sparse dictionary by selecting both positive and negative bases from bags of positive and negative image patches/templates during tracking. A linear classifier is trained with sparse coefficients of image patches in the current frame, which are calculated using the joint sparse dictionary. This classifier is then used to locate the target in the next frame. Experimental results show that our tracking method is robust against object variation, occlusion and illumination change. © 2013 SPIE.

关键词： E-learning

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Wind farm power optimum dispatching strategy for variable-speed wind turbine based on rotating energy storage

Wind farm power optimum dispatching strategy for variable-sp...

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2nd IET Renewable Power Generation Conference, RPG 2013

作者： Xiao, Yunqi Lv, Yuegang He, Guanju Liu, Juncheng Wang, Kunpeng School of Control and Computer Engineering North China Electric Power University Changping District Beijing 102206 China Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University Changping District Beijing 102206 China

ISBN: (纸本)9781849197588

When wind farm accepts grid scheduling, target load needs to dispatch to each wind turbine to complete. In order to improve the power control capability of the wind farm in the case of random wind fluctuations, a wind farm power control strategy, based on wind wheel rotation energy storage of variable speed wind turbine, is proposed. Firstly, a wind turbine energy storage assessment model is established, and an energy storage state evaluation method, which considers the balance of wind turbine rotational energy and regulating ability, is proposed. Based on this, a mathematical model of wind farm energy storage optimum is pretended, and a solving strategy based on genetic algorithm is designed, too. Finally, the platform for the implementation of the proposed control strategy is introduced. The control strategy proposed in this paper can effectively enhance the ability of the wind turbines' power control and reduce the impact of the uncertainty wind speed to the power response of the wind farm.

关键词： Genetic algorithms

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Design MIMO control systems with Non-Gaussian delays and noises

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ICIC Express Letters 2013年第2期7卷 417-422页

作者： Zhang, Jianhua Ren, Mifeng Hou, Guolian Yu, Mei School of Control and Computer Engineering No. 2 Beinong Road Huilongguan Changping District Beijing 102206 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University No. 2 Beinong Road Huilongguan Changping District Beijing 102206 China

A novel control algorithm for multi-input-multi-output (MIMO) dynamic stochastic systems is developed. The system is expressed by a nonlinear ARMAX model with non-Gaussian noises and random delays. An improved minimum error entropy (MEE) criterion, instead of conventional mean square error, is used to design the adaptive controller. In order to obtain the performance index of the closed-loop control system, the probability density functions (PDFs) of tracking error are estimated by Modha's density estimator, which is implemented by a multi-layer perceptron (MLP). The convergence condition of the proposed control algorithm is analyzed. Finally, a simulation example is given to illustrate the efficiency and feasibility of the proposed approach. © 2013 ISSN 1881-803X.

关键词： Closed loop control systems

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Mining effective multi-segment sliding window for pathogen incidence rate prediction

Mining effective multi-segment sliding window for pathogen i...

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作者： Duan, Lei Tang, Changjie Li, Xiaosong Dong, Guozhu Wang, Xianming Zuo, Jie Jiang, Min Li, Zhongqi Zhang, Yongqing School of Computer Science Sichuan University Chengdu 610065 China West China School of Public Health Sichuan University Chengdu 610041 China Department of Computer Science and Engineering Wright State University Dayton 45435 United States National Key Laboratory of Air Traffic Control Automation System Technology Chengdu 610065 China

Pathogen incidence rate prediction, which can be considered as time series modeling, is an important task for infectious disease incidence rate prediction and for public health. This paper investigates the application of a genetic computation technique, namely GEP, for pathogen incidence rate prediction. To overcome the shortcomings of traditional sliding windows in GEP-based time series modeling, the paper introduces the problem of mining effective sliding window, for discovering optimal sliding windows for building accurate prediction models. To utilize the periodical characteristic of pathogen incidence rates, a multi-segment sliding window consisting of several segments from different periodical intervals is proposed and used. Since the number of such candidate windows is still very large, a heuristic method is designed for enumerating the candidate effective multi-segment sliding windows. Moreover, methods to find the optimal sliding window and then produce a mathematical model based on that window are proposed. A performance study on real-world datasets shows that the techniques are effective and efficient for pathogen incidence rate prediction. © 2013 Elsevier B.V. All rights reserved.

关键词： Data mining

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Modelling and Simulation of Switched Reluctance Motor Based on Comsol

Modelling and Simulation of Switched Reluctance Motor Based ...

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International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

作者： Umar Sholahuddin Agus Purwadi Nana Heryana Hilwadi Hindersyah Electric Energy Conversion Research Laboratory Bandung Institute of Technology Bandung Indonesia Control and Computer System Laboratory Bandung Institute of Technology Bandung Indonesia

Switched reluctance motor (SRM) drives have gained many attentions from researcher which will be used for automotive applications that needs high speed, wider range of constant power capability, ruggedness, and fault tolerance. This paper focuses on modelling and simulation of switched reluctance motor (SRM) based on COMSOL software, two dimensional finite element models of SRM were developed and established. The results show that the models established, are propitious to the accurate analysis of switched reluctance motor torque and flux. SRM 6/4 configuration was selected due to its simple structure and low cost of electronics required for the controller. The model developed will be used to design and build an EV SRM for prototype testing.

关键词： Artificial intelligence

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Model predictive control for large-scale urban traffic networks with a multi-level hierarchy

Model predictive control for large-scale urban traffic netwo...

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International Conference on Intelligent Transportation

作者： Shu Lin Taiyu Ling Yugeng Xi School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China Department of Automation Key Laboratory of System Control and Information Processing Shanghai China

ISBN: (纸本)9781479929153

The control and management problem for large-scale complex urban traffic network is not yet successfully addressed. There are still many difficulties in controlling such large systems, e.g. complexity, high dimension, multiple control objectives, and uncertainties. In the paper, a multi-level MPC hierarchy is proposed to address these difficulties for the control of large-scale urban traffic networks. Under the control hierarchy, a multi-level MPC algorithm is proposed, which includes three levels, the demand balance MPC, the subnetwork MPC, and the intersection controller from top to bottom. A case study is carried out to evaluate the proposed algorithm. The simulation results illustrate the effectiveness of the multi-level controller.

关键词： Vehicles Optimization Roads Mathematical model Algorithm design and analysis Timing Analytical models

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