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Gesture recognition based on sparse representation

International Journal of Wireless and Mobile computing 2016年第4期11卷 348-356页

作者： Miao, Wei Li, Gongfa Sun, Ying Jiang, Guozhang Kong, Jianyi Liu, Honghai College of Machinery and Automation Wuhan University of Science and Technology Wuhan430081 China State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Intelligent Systems and Biomedical Robotics Group School of Computing University of Portsmouth PortsmouthPO1 3HE United Kingdom

Aiming at the problem that the robustness of gesture recognition is difficult to guarantee, this paper presents a method based on multi-features and sparse representation. Hu invariant moments and HOG features of training samples are extracted in training phase. The K-SVD algorithm is used to train the initial value of dictionary formed by two features so as to obtain two sub-dictionaries. In recognition phase, sparse coefficients of corresponding training dictionary are derived by solving minimum l1-norm. Finally, the overall reconstruction error is calculated to judge the categories of test samples. In experimental simulation, five kinds of grasp gesture are collected to create gesture sample library. After selecting optimal HOG parameters and the weight of two features, the recognition effect of the method is analysed. Compared with the commonly used classification, the results show that the method has better recognition rate and robustness. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Gesture recognition

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A co-evolutionary particle swarm optimization with dynamic topology for solving multi-objective optimization problems

Advances in Modelling and Analysis A

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Advances in Modelling and Analysis A 2016年第1期53卷 145-159页

作者： Wu, Daqing Tang, Lixiang Li, Haiyan Ouyang, LiJun Computer Science and Technology Institute University of South China HangyangHunan China Antai College of Economics and Management Shanghai Jiao Tong University Shanghai200240 China Zigong643000 China Key Laboratory of Guangxi High Schools for Complex System and Computational Intelligence Guangxi University for Nationalities Nanning530006 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University HefeiAnhui Province230039 China Department of Business Administration Hunan University of Finance and Economics Hunan410205 China

This paper proposes a multi-objective with dynamic topology particle swarm optimization (PSO) algorithm for solving multi-objective problems, named DTPSO. One of the main drawbacks of classical multi-objective particle swarm optimization algorithm is low diversity. To overcome this disadvantage, DTPSO uses two dynamic local best particles to lead the search particles with multiple populations to deal with multiple objectives, and maintains diversity of new found non-dominated solutions via partitioned the searching space into fixed number of cells. The proposed DTPSO is validated through comparisons with other two multi-objective algorithms using established benchmarks and metrics. Simulation results demonstrated that DTPSO shows competitive, if not better, performance as compared to the other algorithms. © 2016, AMSE Press. All rights reserved.

关键词： Multiobjective optimization

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Cloud Control systems

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自动化学报 2015年第2期2卷 134-142页

作者： Xia Yuanqing the School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081

The concept of cloud control systems is discussed in this paper, which is an extension of networked control systems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key role in IOT. At the same time, cloud computing is developed rapidly, which provides a perfect platform for big data processing, controller design and performance assessment. The research on cloud control systems will give new contribution to the control theory and applications in the near future.

关键词： Cloud control systems (NCSs) networked control systems cloud computing cyber-physical systems (CPSs) big data

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Distributed formation stabilization for mobile agents using virtual tensegrity structures 34

Distributed formation stabilization for mobile agents using ...

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34th Chinese Control Conference, CCC 2015

作者： Qingkai, Yang Ming, Cao Hao, Fang Jie, Chen Jie, Huang School of Automation Beijing Institute of Technology Beijing China Faculty of Mathematics and Natural Sciences ITM University of Groningen Groningen Netherlands Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing China

ISBN: (纸本)9789881563897

This paper investigates the distributed formation control problem for a group of mobile Euler-Lagrange agents to achieve global stabilization by using virtual tensegrity structures. Firstly, a systematic approach to design tensegrity frameworks is elaborately explained to confine the interaction relationships between agents, which allows us to obtain globally rigid frameworks. Then, based on virtual tensegrity frameworks, distributed control strategies are developed such that the mobile agents converge to the desired formation globally. The theoretical analysis is further validated through simulations. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Euler-Lagrange dynamics Formation stabilization Global convergence Tensegrity structure

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A Method of SMS Spam Filtering Based on AdaBoost Algorithm

A Method of SMS Spam Filtering Based on AdaBoost Algorithm

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World Congress on intelligent Control and Automation

作者： Xipeng Zhang Gang Xiong Yuexiang Hu Fenghua Zhu Xisong Dong Timo R. Nyberg State Key Laboratory of Management and Control for Complex Systems Institute of Automation of Chinese Academy of Science Beijing CO 100190 China Cloud Computing Center Chinese Academy of Sciences Dongguan CO 523000 China Hainan Zhongke Flower Ocean Cloud Commerce Technology Co. Ltd Haikou CO570311 Hainan China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing CO 100190 China Qingdao Academy of Intelligent Industries Qingdao CO 266061 China Department of Industrial Engineering and Management Aalto University Aalto CO FI-00076 Finland

ISBN: (纸本)9781467384155

Short message is one of the most common communication media for mobile subscribers, so major mobile operators are devoted to improve their Short Message Service (SMS). However, the annoying and undesired messages, also named message spam or simply spam, not only worsen the users' experience, but also cause their complaints on SMS. In this paper, we present a novel Chinese SMS spam filtering framework based on AdaBoost algorithm to provide accurate and effective short messages classification. Three content-based weak filters are introduced to boost the performance of final classification decision. Results from Receiver Operating Characteristics (ROC) analysis prove the proposed method has such advantages as higher efficiency and fewer parameters over those established SMS spam filtering methods. The application of the proposed method is expected to block the most spam for mobile subscribers and improve the service quality of SMS. With simple data processing and few training parameters, the proposed method can be applied into the practice of short text classification.

关键词： Filtering Mobile communication Training Unsolicited electronic mail Classification algorithms Text categorization Bayes methods

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Research on the frequency capping issue in RTB advertising: A computational experiment approach

Research on the frequency capping issue in RTB advertising: ...

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Chinese Automation Congress (CAC)

作者： Rui Qin Yong Yuan Feiyue Wang Juanjuan Li State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Beijing Qingdao China State Key Laboratory of Management and Control for Complex Systems Qingdao Academy of Intelligent Industries Qingdao China

Real time bidding (RTB) is emerged with the rapid development and integration of Internet and big data, and it has become the most important business model for online computational advertising. In RTB-based advertising markets, Demand Side Platforms (DSPs) aim to help the advertisers buy ad impressions matched with their target audiences. Due to the existence of discount rate, the advertising effect may be diminished when displaying the advertisements multiple times to the same target audience. As such, frequency capping is widely considered as a crucial issue faced by most advertisers. In this paper, we mainly consider the frequency capping problems in RTB advertising markets, and establish a two-stage optimization model for advertisers and DSPs. Utilizing the computational experiment approach, we design two experiments to validate our model. The experimental results show that under different discount rates, the optimal frequency caps are different. Moreover, when considering all the discount rates, there exists an optimal frequency cap, at which the expected maximum revenue can be obtained in the long run.

关键词： Digital signal processing Advertising Computational modeling Time-frequency analysis Frequency control Numerical models Internet

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TDMA based IEEE 802.15.4 for Simple/Secured Low Latency Deterministic Networked Control systems

TDMA based IEEE 802.15.4 for Simple/Secured Low Latency Dete...

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第三十四届中国控制会议

作者： Mashood Anwar Yuanqing Xia School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology

ISBN: (纸本)9781467374439

In this paper, we propose a time division multiple access(TDMA) based protocol that works on slightly modified IEEE802.15.4 network in star topology for secured and unsecured low latency deterministic networks(LLDN) for industrial control systems. This protocol ensures total superframe time as low as ten milliseconds as compared to minimum possible superframe time of 15.36 milliseconds. In these networks, Each end device transmits its data frame in their allotted timeslot. The timeslot and inter timeslot spacing is optimized for channel bandwidth utilization and reliable data frame exchange. While this TDMA based protocol eliminates the risk of frame collisions to great extent, MAC sub-layer tweaking improves the non-determinism of the network and increases its bandwidth efficiency. We also investigate the security impact on the performance of LLDN. A mathematical model is developed that takes empirical values as input and predicts the worst case arrival times of network devices at coordinator. Experiments were conducted to evaluate the suggested protocol and mathematical model.

关键词： IEEE 802.15.4,Networked control system,Low latency deterministic networks(LLDN),Medium access control(MAC),TDMA,security

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Optimal Distributed Fusion for State Estimation in Multirate Wireless Sensor Networks

Optimal Distributed Fusion for State Estimation in Multirate...

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第三十四届中国控制会议

作者： Lu Jiang Liping Yan Yuanqing Xia Mengyin Fu Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology

ISBN: (纸本)9781467374439

This paper is concerned with the distributed fusion estimation problem for linear system observed by multirate sensors in the environment of wireless sensor networks(WSNs). Rates of the sampling, estimation, transmission in the WSNs are different. The distributed fusion estimation is composed of two stages. At the first stage, every sensor in the WSNs collects measurements of its own to generate a local estimation, then the local estimations from the neighboring sensors and the neighbour's neighbor sensors are further collected to form the fusion estimation at the second stage. The main result is that a distributed fusion estimation algorithm is presented which is simple and low energy consumption. The performance, namely, the effectiveness and the stability of the algorithm under multiple sensors, is analyzed. A numerical example is given to show the feasibility and effectiveness of the presented algorithm.

关键词： state estimation,distributed fusion,multirate multisensor,Kalman filter,wireless sensor networks

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SH–STF: a Novel Adaptive Filter and its Application in SINS/GPS/DVS Integrated Navigation

SH–STF: a Novel Adaptive Filter and its Application in SINS...

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第三十四届中国控制会议

作者： Liping Yan Yuanqing Xia Mengyin Fu Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology

ISBN: (纸本)9781467374439

This paper is concerned with adaptive filter and its application in SINS/GPS/DVS integrated navigation. A novel adaptive filter, namely, SH–STF, is presented by combining the Sage–Husa(SH) adaptive filter with the strong tracking filter(STF). For multirate sampling dynamic system and in consideration of observations randomly missing, SH–STF is applied to data fusion and SINS/GPS/DVS integrated navigation. Simulation results show the feasibility and effectiveness of the presented algorithm.

关键词： integrated navigation,Sage–Husa adaptive filter,strong tracking filter,data fusion

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TDMA based IEEE 802.15.4 for Low Latency Deterministic Networked Control systems

TDMA based IEEE 802.15.4 for Low Latency Deterministic Netwo...

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第27届中国控制与决策会议

作者： Mashood Anwar Yuanqing Xia School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology

ISBN: (纸本)9781479970186

In this paper,we propose a time division multiple access(TDMA) based protocol that works on slightly modified IEEE 802.15.4 network in star topology for low latency deterministic networked control *** end device in network transmits its data frame after certain time delay in response to periodic request from network *** time delay is optimized for channel bandwidth utilization and reliable data frame *** this TDMA based protocol eliminates the risk of frame collisions to great extent,MAC sub-layer modifications reduces the non-determinism of the network and increases its bandwidth *** were conducted to evaluate the suggested *** upon these experiments results,the proposed protocol is a feasible solution for control systems with real time constraints.

关键词： IEEE 802154 Networked control system Low latency deterministic networks(LLDN) Medium access control(MAC) Real time systems TDMA

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