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检索条件"机构=State Key Laboratory of Intelligent Control and Management of Complex Systems"

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What is the uniqueness of growth pattern in human flesh search organization?

What is the uniqueness of growth pattern in human flesh sear...

引用

Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2013

作者： Wang, Tao Zhang, Qingpeng Fu, Julei Wang, Xiao Zheng, Suncong College of Information System and Management National University of Defense Technology Changsha 410073 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Systems and Industrial Engineering University of Arizona Tucson AZ United States

ISBN: (纸本)9783642396922

Human Flesh Search is an explosive Web phenomenon these years in China, especially when new media, such as Weibo, appeared. In this research, we present the empirical studies about growing patterns of participated Human Flesh Search user, and unveiled one unique growing property. Based on the empirical findings, we compare it with two others results, one is the common Weibo's growth pattern, and the other is the popularity growth pattern of photo in Flickr. Some differences are proposed and analyzed briefly. © 2013 Springer-Verlag.

关键词： Social networking (online)

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A novel sparse auto-encoder for deep unsupervised learning

A novel sparse auto-encoder for deep unsupervised learning

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Xiaojuan Jiang Yinghua Zhang Wensheng Zhang Xian Xiao State Key Laboratory of Intelligent Control and Management of Complex System at Institute of Automation Chinese Academy of Sciences Beijing

This paper proposes a novel sparse variant of auto-encoders as a building block to pre-train deep neural networks. Compared with sparse auto-encoders through KL-divergence, our method requires fewer hyper-parameters and the sparsity level of the hidden units can be learnt automatically. We have compared our method with several other unsupervised leaning algorithms on the benchmark databases. The satisfactory classification accuracy (97.92% on MNIST and 87.29% on NORB) can be achieved by a 2-hidden-layer neural network pre-trained using our algorithm, and the whole training procedure (including pre-training and fine-tuning) takes far less time than the state-of-art results.

关键词： Training Classification algorithms Data models Principal component analysis Lead

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Multi-class classification via discriminative multiple subspace learning

Multi-class classification via discriminative multiple subsp...

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International Conference on Mechatronic Science, Electric Engineering and Computer

作者： Tang Tang Hong Qiao Suiwu Zheng State Key Laboratory of Management and Control for Complex Systems Organization Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479925667

Subspace learning has long been a fundamental yet important problem of modeling data distributions. In this paper, we propose to learn multiple linear subspaces in a supervised way for multi-class classification. To this end, a discriminative term redefining decision margin in terms of reconstruction error is incorporated into the model. The term enjoys similar properties of hinge loss function to the benefit of classification and leads to a training process seeking the balance between unsupervised learning and supervised learning. In the experiments on written digits dataset, our algorithm outperforms other methods proposed recently in both accuracy and computation efficiency.

关键词： Dictionaries Classification algorithms Optimization Computational modeling Training Accuracy Principal component analysis

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Label micro-blog topics using the Bayesian inference method

Label micro-blog topics using the Bayesian inference method

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Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2013

作者： Gao, Heng Li, Qiudan Zheng, Xiaolong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan 523808 China

ISBN: (纸本)9783642396922

Classifying Micro-blog content is a popular research topic in social media, which can help users access their favorite information quickly. Much research focuses on classifying Micro-blog content with short text dataset. The challenge is the classification effect may be hampered by content ambiguity. To address this challenge, we propose a novel classification framework using external knowledge base and the Bayesian inference method. We first introduce Baidu Encyclopedia to extract effective features, and then we train efficient classifiers with the probabilistic graphic model. The proposed model can classify micro-blog content reliably. Experiments on Sina-weibo dataset demonstrate the effectiveness of the proposed method. © 2013 Springer-Verlag.

关键词： Classification (of information)

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A Prior-Free Encode-Decode Change Detection Test to Inspect Datastreams for Concept Drift

A Prior-Free Encode-Decode Change Detection Test to Inspect ...

引用

International Joint Conference on Neural Networks

作者： Cesare Alippi Li Bu Dongbin Zhao Politecnico di Milano Italy and The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467361279

Online change detection in datastreams has attracted many researchers and is becoming a very hot topic whose relevance will further increase with research on Big Data. Concept drift is induced by changes in stationarity of the process generating the data caused by faults, time variance of the environment and inaccuracy of the change detection mechanism. Here, we propose a recurrent auto-associative Encode-Decode machine trained to reconstruct input data. The generated residual is then inspected for structural changes with a Change Detection Test (CDT). Although any CDT can be used, in the paper we focus the attention on the Hierarchical Intersection of Confidence Intervals change detection test for its capability of controlling false positives with a two layered test and an online version of the Lepage Change Point Model. Once concept drift is detected, the designed Encode-Decode machine, globally acting as an Encode-Decode CDT, is retrained on new data to detect subsequent changes.

关键词： Concept Drift CDT detect subsequent changes

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Design and its visual servoing control of an inspection robot for power transmission lines

Design and its visual servoing control of an inspection robo...

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IEEE International Conference on Robotics and Biomimetics

作者： Dezheng Zhao Guodong Yang En Li Zize Liang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

A bi-branchiate robot is presented for the inspection of the high-voltage power transmission lines. With a symmetrical mechanical structure, the robot can roll along the power lines and negotiating all the obstacles in the lines to complete the inspection work. A hierarchical structure based on modular approach are used to design the control system of the robot. A combination mode composed of teleoperation via RF module and local intelligence based on visual servoing is developed to control the inspection robot. Using an image feature acquisition method based on Otsu adaptive threshold, the position and width of the power line in image plane are extracted as the basis of controller design. Experiments of obstacle negotiation and automatic line grasping in laboratory prove the effectiveness of the proposed robot prototype and the relative control method.

关键词： Robot kinematics Cameras Inspection Robot vision systems Feature extraction

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Modeling and analysis of wireless power transmission system for inspection robot

Modeling and analysis of wireless power transmission system ...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Mingbo Yang Guodong Yang En Li Zize Liang Hao Lin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467351942

A wireless power transmission technique based robotic power management system for prolonging continuous working time of one transmission line inspection robot is introduced in this paper. Magnetic resonance coupled WPT (wireless power transmission) unit is designed and analyzed in form of electrical circuit mode theory. Impedance matching is introduced and a special matching method for four coils resonance coupled based WPT is given. The output power of WPT unit is modeled and relationship between coupled coefficient, angular frequency and amount of output power is given and energy consumption of each unit in power management system is quantified. Experiment shows that models can precisely describe the character of WPT system and it performs to be applicable for charging the inspection robot wirelessly.

关键词： Coils Robots Inspection Wireless communication Power transmission Impedance matching Resonant frequency

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Design and implementation of a biomimetic robotic jellyfish based on multi-linkage mechanism

Design and implementation of a biomimetic robotic jellyfish ...

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Chinese control Conference (CCC)

作者： Jundong Xiao Junzhi Yu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479900305

Inspired by the characteristics of high agility and stability of live jellyfish, a novel biomimetic robotic jellyfish based on multi-linkage mechanism is developed in this paper. The robotic jellyfish consists of a streamlined head, a cavity shell, four driving devices with bevel gears, four actuators based on multi-linkage mechanism, a regulating mechanism for adjusting barycenter and a skin. The four centrosymmetric actuators is used to imitate the locomotion of jellyfish, including the relaxation phase and the contraction phase. The mutually independent and coordinated control of the four actuators is able to achieve diversified movements such as swimming forward, pitching and yawing. As a new type of bio-inspired robots, the robotic jellyfish with high agility, stability and low noise, will serve as a platform for underwater reconnaissance and environmental monitoring.

关键词： Robot kinematics Actuators Electronic mail Laboratories Automation

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A multi-body mass-spring model for virtual reality training simulators based on a robotic guide wire operating system

A multi-body mass-spring model for virtual reality training ...

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IEEE International Conference on Robotics and Biomimetics

作者： Shao-Hua Mi Zeng-Guang Hou Fan Yang Xiao-Liang Xie Gui-Bin Bian State Key Laboratory of Management and Control for Complex Systems the Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9781479927456

Generally, surgeons of minimally invasive surgery should possess good ability to coordinate their both hands. The manipulation of guide wire is considered a core skill. Obtaining that core skill to perform minimally invasive surgery requires training. In minimally invasive surgery, a surgical robot can assist doctors to position precisely and provide stable operation platform. Therefore, to develop a virtual reality simulators for training purpose based on a robotic guide wire operating system is an important and challenging subject. In this paper, a multi-body mass-spring model for simulating guide wire is presented and evaluated. In order to overcome the disadvantage of using mass-spring approach to model the guide wire, we propose a new collision detection algorithm and a new collision response algorithm. Finally, we test our guide wire with a complex and realistic 3D vascular model, which is selected from computer tomography database of real patients. The result shows that the virtual reality training simulators is effective and promising.

关键词： Wires Solid modeling Force Computational modeling Training Robots Virtual reality

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Bezier curve based path planning for a mobile manipulator in unknown environments

Bezier curve based path planning for a mobile manipulator in...

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IEEE International Conference on Robotics and Biomimetics

作者： Jile Jiao Zhiqiang Cao Peng Zhao Xilong Liu Min Tan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479927456

This paper presents a collision-free path planning approach based on Bezier curve for a mobile manipulator with the endpoints restricted by the manipulator. Based on these candidate endpoints and the initial posture of mobile manipulator, a series of feasible Bezier paths are obtained with the constraints from velocity, acceleration and environment. And then the optimal collision-free path is determined according to the related information of the path as well as obstacles. The mobile manipulator has the ability to adapt to the environment and the optimal path will be updated once the new detected obstacles block this path. The path planning approach is verified by simulations.

关键词： Manipulators Mobile communication Path planning Sensors Robot kinematics Acceleration

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