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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Attila Gilányi Marianna Bálint Róbert Hajdu Sándor Tarsoly Imre Erdős Faculty of Informatics University of Debrecen Debrecen Hungary Hajdúsági Museum Hajdúböszörmény Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Faculty of Engineering University of Debrecen Debrecen Hungary

We present a three-dimensional visualization of the medieval Church of Zelemer developed in the Virtual Collaboration Arena (VirCA).

关键词： Libraries Visualization Buildings Conferences Collaboration Electronic mail Three-dimensional displays

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RETRACTED ARTICLE: Modelling thermal comfort of visitors at urban squares in hot and arid climate using NN-ARX soft computing method

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Theoretical and Applied Climatology 2015年第3期124卷 991-1004页

作者： Shahab Kariminia Shervin Motamedi Shahaboddin Shamshirband Jamshid Piri Kasra Mohammadi Roslan Hashim Chandrabhushan Roy Dalibor Petković Hossein Bonakdari Department of Architecture Faculty of Art Architecture and Urban Planning Najafabad Branch Islamic Azad University Najafabad Iran Department of Civil Engineering Faculty of Engineering University of Malaya Kuala Lumpur Malaysia Institute of Ocean and Earth Sciences University of Malaya Kuala Lumpur Malaysia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Water Engineering Soil and Water College University of Zabol Zabol Iran Faculty of Mechanical Engineering University of Kashan Kashan Iran Faculty of Mechanical Engineering Department for Mechatronics and Control University of Niš Niš Serbia Department of Civil Engineering Razi University Kermanshah Iran

Visitors utilize the urban space based on their thermal perception and thermal environment. The thermal adaptation engages the user’s behavioural, physiological and psychological aspects. These aspects play critical roles in user’s ability to assess the thermal environments. Previous studies have rarely addressed the effects of identified factors such as gender, age and locality on outdoor thermal comfort, particularly in hot, dry climate. This study investigated the thermal comfort of visitors at two city squares in Iran based on their demographics as well as the role of thermal environment. Assessing the thermal comfort required taking physical measurement and questionnaire survey. In this study, a non-linear model known as the neural network autoregressive with exogenous input (NN-ARX) was employed. Five indices of physiological equivalent temperature (PET), predicted mean vote (PMV), standard effective temperature (SET), thermal sensation votes (TSVs) and mean radiant temperature (T mrt) were trained and tested using the NN-ARX. Then, the results were compared to the artificial neural network (ANN) and the adaptive neuro-fuzzy inference system (ANFIS). The findings showed the superiority of the NN-ARX over the ANN and the ANFIS. For the NN-ARX model, the statistical indicators of the root mean square error (RMSE) and the mean absolute error (MAE) were 0.53 and 0.36 for the PET, 1.28 and 0.71 for the PMV, 2.59 and 1.99 for the SET, 0.29 and 0.08 for the TSV and finally 0.19 and 0.04 for the T mrt.

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Software-defined radio based measurement platform for wireless networks

Software-defined radio based measurement platform for wirele...

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IEEE International Symposium on Precision Clock Synchronization for Measurement, control and Communication, ISPCS

作者： I-Chun Chao Kang B. Lee Richard Candell Frederick Proctor Chien-Chung Shen Shinn-Yan Lin Department of Electrical Engineering National Taiwan University Taiwan Networked Control Systems Group National Institute of Standards and Technology USA Department of Computer and Information Sciences University of Delaware USA Telecommunication Laboratories Chunghwa Telecom Company Ltd. Taiwan

End-to-end latency is critical to many distributed applications and services that are based on computer networks. There has been a dramatic push to adopt wireless networking technologies and protocols (such as WiFi, ZigBee, WirelessHART, Bluetooth, ISA100.11a, etc.) into time-critical applications. Examples of such applications include industrial automation, telecommunications, power utility, and financial services. While performance measurement of wired networks has been extensively studied, measuring and quantifying the performance of wireless networks face new challenges and demand different approaches and techniques. In this paper, we describe our work in progress of designing a measurement platform based on the technologies of software-defined radio (SDR) and IEEE 1588 Precision Time Protocol (PTP) for evaluating the performance of wireless networks.

关键词： Protocols IEEE 802.11 Standard Wireless networks Hardware Synchronization Zigbee

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Hierarchical Extreme Learning Machine for Unsupervised Representation Learning

Hierarchical Extreme Learning Machine for Unsupervised Repre...

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International Joint Conference on Neural Networks

作者： Wentao Zhu Jun Miao Laiyun Qing Guang-Bin Huang Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing 100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 100049 China School of Electrical & Electronic Engineering Nanyang Technological University Nanyang Avenue Singapore 639798

ISBN: (纸本)9781479919611

Learning representations from massive unlabeled data is a hot topic for high-level tasks in many applications. The recent great improvements on benchmark data sets, which are achieved by increasingly complex unsupervised learning methods and deep learning models with lots of parameters, usually require many tedious tricks and much expertise to tune. However, filters learned by these complex architectures are quite similar to standard hand-crafted features visually, and training the deep models costs quite long time to fine-tune their weights. In this paper, Extreme Learning Machine-Autoencoder (ELM-AE) is employed as the learning unit to learn local receptive fields at each layer, and the lower layer responses are transferred to the last layer (trans-layer) to form a more complete representation to retain more information. In addition, some beneficial methods in deep learning architectures such as local contrast normalization and whitening are added to the proposed hierarchical Extreme Learning Machine networks to further boost the performance. The obtained trans-layer representations are followed by block histograms with binary hashing to learn translation and rotation invariant representations, which are utilized to do high-level tasks such as recognition and detection. Compared to traditional deep learning methods, the proposed trans-layer representation method with ELM-AE based learning of local receptive filters has much faster learning speed and is validated in several typical experiments, such as digit recognition on MNIST and MNIST variations, object recognition on Caltech 101. State-of-the-art performances are achieved on both Caltech 101 15 samples per class task and 4 of 6 MNIST variations data sets, and highly impressive results are obtained on MNIST data set and other tasks.

关键词： Hierarchical Extreme Learning Machine Unsupervised Representation Learning deep learning models Learning machines Dataset representation method Recognition (Psychology) Receptive field Learning representations Religious Missions Hierarchical

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Stochastic Packet Scheduling for Optimal Parameter Estimation

Stochastic Packet Scheduling for Optimal Parameter Estimatio...

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IEEE Annual Conference on Decision and control

作者： Duo Han Keyou You Lihua Xie Junfeng Wu Ling Shi School of Electrical and Electronic Engineering Nanyang Technological University Singapore Department of Automation Tsinghua University Beijing 100084 China Department of Automatic Control The Royal Institute of Technology (KTH) Stockholm Sweden Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781479978878

In this paper we consider optimal parameter estimation with a constrained packet transmission rate. Due to the limited battery power and the traffic congestion over a large sensor network, each sensor is required to discard some packets and save transmission times. We propose a packet-driven sensor scheduling policy such that the sensor transmits only the important measurements to the estimator. Unlike the existing deterministic scheduler in [1], our stochastic packet scheduling is novelly designed to maintain the computational simplicity of the resulting maximum-likelihood estimator (MLE). This results in a nice feature that the MLE is still able to be recursively computed in a closed form, and the Cramer-Rao lower bound (CRLB) can be explicitly evaluated. Moreover, an optimization problem is formulated and solved to obtain the optimal parameters of the scheduling policy under which the estimation performance is comparable to the standard MLE (with full measurements) even with a moderate transmission rate. Numerical simulations are included to show the effectiveness.

关键词： Packet optimal parameter Parameter estimation packet schedule Battery power supply scheduling policy traffic congestion Sensors Sensor networks closed forms Stochastic

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Impatience mechanism in saddles' crossing 6

Impatience mechanism in saddles' crossing

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6th International Conference on Evolutionary Computation Theory and Applications, ECTA 2014, Part of the 6th International Joint Conference on Computational Intelligence, IJCCI 2014

作者： Karcz-Duleba, Iwona Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Wyb. Wyspianskiego 27 Wroclaw50-370 Poland

ISBN: (纸本)9789897580529

Evolutionary inspired heuristics suffer from a premature convergence at local optima and, consequently, a population diversity loss. Thus, breaking out of a local optimum trap and crossing saddles between optima in multimodal and multidimensional search spaces is an important issue in an evolutionary optimization algorithm. In this paper, an impatience mechanism coupled with a phenotypic model of evolution is studied. This mechanism diversifies a population and facilitates escaping from a local optima trap. An impatient population polarizes itself and evolves as a dipole centered around an averaged individual. The operator was modified by supplying it with an extra knowledge about a currently found optimum. In the case, behavior of a population is quite different - a significant diversification is observed but the population is not polarized and evolves as a single cluster. Both mechanisms allow to cross saddle relatively fast for a wide range of parameters of a bimodal multidimensional fitness function.

关键词： Optimization

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Multi-object tracking using labeled multi-Bernoulli random finite sets 17

Multi-object tracking using labeled multi-Bernoulli random f...

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17th International Conference on Information Fusion, FUSION 2014

作者： Reuter, Stephan Vo, Ba-Tuong Vo, Ba-Ngu Dietmayer, Klaus Institute of Measurement Control and Microtechnology Ulm University Ulm Germany Department of Electrical and Computer Engineering Curtin University Bentley Australia

ISBN: (纸本)9788490123553

In this paper, we propose the labeled multi-Bernoulli filter which explicitly estimates target tracks and provides a more accurate approximation of the multi-object Bayes update than the multi-Bernoulli filter. In particular, the labeled multi-Bernoulli filter is not prone to the biased cardinality estimate of the multi-Bernoulli filter. The utilization of the class of labeled random finite sets naturally incorporates the estimation of a targets identity or label. Compared to the σ-generalized labeled multi-Bernoulli filter, the labeled multi-Bernoulli filter is an efficient approximation which obtains almost the same accuracy at significantly lower computational cost. The performance of the labeled multi-Bernoulli filter is compared to the multi-Bernoulli filter using simulated data. Further, the real-time capability of the filter is illustrated using real-world sensor data of our experimental vehicle. © 2014 International Society of Information Fusion.

关键词： Target tracking

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Corrigendum to `Parallel machine scheduling and common due window assignment with job independent earliness and tardiness costs' [Information Sciences, 224 (2013) 109–117]

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Information Sciences 2016年 357卷 217-217页

作者： Adam Janiak Władysław Janiak Mikhail Y. Kovalyov Erhan Kozan Erwin Pesch Institute of Computer Engineering Control and Robotics Wroclaw University of Technology 11/17 Janiszewskiego Str. 50-372 Wroclaw Poland Faculty of Computer Science and Management Wroclaw University of Technology 5 Lukasiewicza Str. 50-373 Wroclaw Poland United Institute of Informatics Problems National Academy of Sciences of Belarus Surganova 6 2200120 Minsk Belarus School of Mathematical Sciences QUT GPO Box 2434 Brisbane Qld 4001 Australia Institute of Information Systems University of Siegen 57068 Siegen Germany

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Consensus control and feedback graph co-design for MIMO discrete-time multi-agent systems

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Journal of control and Decision 2014年第1期1卷 18-33页

作者： Guoxiang Gu Fei Liu Xiang Chen Department of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLAUSA Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education)China Institute of AutomationJiangnan UnniversityWuxiP.R.China Department of Electrical and Computer Engineering University of WindsorWindsorCanada

This paper studies consensus control for multi-input/multi-output(MIMO)discrete-time multi-agent systems(MASs).It makes use of the novel idea of resource allocation in designing both the communication graph and feedback *** weakest consensusability condition is obtained for MASs over both directed and undirected graphs,which extends the existing results to MIMO discrete-time *** synthesis procedures are also *** work demonstrates the importance of the graph and controller co-design based on resource allocation for MIMO discrete-time MASs.

关键词： consensus control gain margin multi-agent systems

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Positioning control of a one-DOF manipulator driven by pneumatic artificial muscles based on active disturbance rejection control

Positioning control of a one-DOF manipulator driven by pneum...

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第三十四届中国控制会议

作者： Ling Zhao Qi Li Hongjiu Yang Hongbo Li Hebei Province Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University Key Laboratory of Advanced Forging & Stamping Technology and Science(Yanshan University) Ministry of Education of China College of Mechanical EngineeringYanshan University College of Mechanical Engineering Yanshan University Institute of Electrical Engineering Yanshan University Department of Computer Science and Technology Tsinghua University

The purpose of this paper is to study positioning control performance of the one-DOF manipulator driven by pneumatic artificial muscles using active disturbance rejection controller. Owing to the pneumatic artificial muscle's highly nonlinear and time-varying behavior, it is difficult to achieve good positioning performance. In this paper, the nonlinear and time-varying behavior of pneumatic artificial muscle is considered as disturbance to be estimated by extended state observer. Tracking differentiator is designed to get corresponding smooth signal and differential signal of reference input to avoid overshoot. A linear error feedback combining with estimated value compensation of disturbance is designed to ensure a good response of system. Moreover, stability analysis of the close-loop system is given by Lyapunov theory. Finally, simulation results verify the effectiveness of the proposed controller.

关键词： Active disturbance rejection control,positioning control,pneumatic artificial muscle,disturbance estimation

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