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  Latest Printed Issue  

2008  Vol.34 Number 10
Oct. 20, 2008

Content is this issue
  Reviews
  Papers and Reports
  Brief Papers
 
 
 
 
Reviews
 
 


1225

XI Yu-Geng and LI De-Wei
  Fundamental Philosophy and Status of Qualitative Synthesis of Model Predictive Control
    In the last decade, theoritical study on model predictive control underwent rapid development by introducing optimal control theory and Lyapunov method, and many important results were achieved. In this paper, the fundamental philosophy in the study on qualitative synthesis of model predictive control is summarized. The main theoritical works on model predictive control with guaranteed stability and performance are reviewed. From the trend of recent study, we point out that the high efficient model predictive control will be the focus of the afterward study in this area.
    2008 Vol. 34 (10): 1225-1234 [Abstract ] ( 223 ) [HTML 0KB] [PDF 1224KB ]( 510 )
Papers and Reports
 
 


1235

LI Lei-Da, GUO Bao-Long and WU Xiao-Yue
  A New Spatial Domain Image Watermarking Scheme Resisting Geometric Attacks
    In order to resist geometric attacks, a novel spatial domain image watermarking scheme (FAQ) using feature point and quantization is presented. The main methods adopted include: 1) watermark synchronization is achieved by invariant local circular regions which can be generated using image locally most stable feature points; 2) fan-shaped sub-regions are generated in a rotation invariant pattern by partitioning the local region, and the watermark bits are embedded in spatial domain by odd-even quantization; 3) an odd-even detector is designed to extract the watermark blindly. Experimental results show that FAQ achieves high image quality, and it can efficiently resist traditional signal processing attacks, rotation/scaling/translation (RST) attacks as well as some combined attacks.
    2008 Vol. 34 (10): 1235-1242 [Abstract ] ( 176 ) [HTML 0KB] [PDF 5319KB ]( 232 )


1243

LI Hua-Bei, HU Wei-Ming and LUO Guan
  A New Interactive Video Retrieval Framework Using Semantic Matching
    Content-based video retrieval (CBVR) has attracted increasing interest in recent years. In this paper, we propose a new interactive video retrieval framework using semantic matching. The main contributions are three-fold: 1) We define a novel high-level feature named semantic-matching histogram (SMH) to reflect videos' semantic information. 2) We set up an unsupervised learning-based retrieval mechanism using the dominant set clustering for the sake of low on-line complexity and high retrieval efficiency. 3) We establish a new interactive mechanism called semantic-based relevance feedback (SBRF) working together with SMHs to improve retrieval performances. Experimental results on a database of sports videos show the effectiveness and efficiency of the proposed framework.
    2008 Vol. 34 (10): 1243-1249 [Abstract ] ( 150 ) [HTML 0KB] [PDF 1958KB ]( 150 )


1250

ZHANG Xue-Bo, FANG Yong-Chun and MA Bo-Jun
  A PFM-based Global Convergence Visual Servo Path Planner
    As a classical local path planning method, potential field method (PFM) is used widely in the robotics field because of its simplicity and elegance. However, a main drawback of this method is the existence of local minima when generating a path for a robot to follow. In this paper, we present a path planning approach for visual servo by using PFM method to keep the features within the camera field of view (FOV). A rigorous analysis is then presented to prove the global stability of the constructed path planning method. Moreover, the problem of how to obtain a better three-dimensional (3D) camera path is also studied extensively. Simulation results are provided to verify the performance of the proposed path planner.
    2008 Vol. 34 (10): 1250-1256 [Abstract ] ( 168 ) [HTML 0KB] [PDF 517KB ]( 204 )


1257

ZHANG Qi, QIU Xi-Peng, HUANG Xuan-Jing and WU Li-De
  Learning Semantic Lexicons Using Graph Mutual Reinforcement Based Bootstrapping
   

This paper presents a method to learn semantic lexicons using a new bootstrapping method based on graph mutual reinforcement (GMR). The approach uses only unlabeled data and a few seed words to learn new words for each semantic category. Different from other bootstrapping methods, we use GMR-based bootstrapping to sort the candidate words and patterns. Experimental results show that the GMR-based bootstrapping approach outperforms the existing algorithms both in in-domain data and out-domain data. Furthermore, it shows that the result depends on not only the size of the corpus but also the quality.

    2008 Vol. 34 (10): 1257-1261 [Abstract ] ( 120 ) [HTML 0KB] [PDF 1996KB ]( 124 )


1262

DUAN Na, XIE Xue-Jun and LIU Hai-Kuan
  An Improved Control Algorithm of High-order Nonlinear Systems
    This paper designs an improved output-feedback controller from the viewpoint of reducing the control effort at the premise of maintaining the desired control performance for a concrete example. The output-feedback controller guarantees the globally asymptotical stability of the closed-loop system by introducing a new rescaling transformation, adopting an effective reduced-order observer, and choosing ingenious Lyapunov function and appropriate design parameters. Simultaneously, from both the theoretical analysis and a concrete example, smaller critical values for gain parameter and rescaling transformation parameter are obtained to effectively reduce the control effort and the rate of change of controller than the design of the related papers.
    2008 Vol. 34 (10): 1262-1267 [Abstract ] ( 142 ) [HTML 0KB] [PDF 421KB ]( 203 )


1268

DING Shi-Hong, LI Shi-Hua and LI Qi
  Globally Uniform Stability of a Class of Continuous Cascaded Systems
    Globally uniform stability is obtained for a class of nonlinear continuous cascaded systems by using homogeneous properties of homogeneous systems. It is assumed that the driving subsystem and the driven subsystem have globally uniformly asymptotical stability and have certain degrees of homogeneity. If the cascaded term also satisfies a homogeneous inequality, then the cascaded system has globally uniformly asymptotical stability. Furthermore, if both the driving subsystem and the driven subsystem have the negative degrees of homogeneity, the cascaded system is globally uniformly finite-time stable. Compared with the conventional ISS assumption or the growth assumption of the cascaded term, the homogeneous inequality assumption of the cascaded term is easier to verify. Furthermore, the proposed method can be applied not only to the Lipschitz continuous systems but also to the non-Lipschitz continuous systems. Two examples are given to verify the effectiveness of the method.
    2008 Vol. 34 (10): 1268-1274 [Abstract ] ( 130 ) [HTML 0KB] [PDF 493KB ]( 168 )


1275

GAO Jin-Feng, SU Hong-Ye, JI Xiao-Fu and CHU Jian
  New Delay-dependent Absolute Stability Criteria for Lurie Control Systems
    This note is concerned with the absolute stability analysis for time-delay Lurie control systems with nonlinearity located in an infinite sector and finite one. By using a new Lyapunov-Krasovskii functional that splits the whole delay interval into two subintervals and defines a different energy function on each subinterval and introducing some free-weighting matrices, some new delay-dependent robustly absolute stability criteria are presented in terms of strict linear matrix inequalities (LMIs). The obtained delay-dependent criteria are less conservative than previous ones, as are illustrated by numerical examples.
    2008 Vol. 34 (10): 1275-1280 [Abstract ] ( 138 ) [HTML 0KB] [PDF 274KB ]( 160 )


1281

MENG Qing-Hao, LI Fei, ZHANG Ming-Lu, ZENG Ming and WEI Xiao-Bo
  Study on Realization Method of Multi-robot Active Olfaction in Turbulent Plume Environments
    This paper presents a cooperative search strategy based on multiple mobile robots to realize the active olfaction (also called odour/gas source localization or chemical plume tracing). Ant colony algorithm (ACA) combined with upwind search is used to coordinate swarm robots' motion. The ACA can effectively make most robots move toward the high-pheromone area and guarantee the distances among robots not too far. The upwind search can decrease the probability of robots trapping in local optimization too early. To judge the correct motion direction, the history pheromone is also considered in the ACA. The method of combining high-concentration maintenance criterion and fluid mass flux divergence calculation is put forward to recognize the odour/gas source. Computer simulations show that the proposed search strategy can work in turbulent environments. Using this strategy, the robots can escape from both local high concentration and eddy areas. In addition, the odour/gas source can be correctly declared finally.
    2008 Vol. 34 (10): 1281-1290 [Abstract ] ( 114 ) [HTML 0KB] [PDF 9857KB ]( 151 )


1291

YAO Chang, CHEN Hou-Jin and LI Ju-Peng
  Analysis of Dynamic Behaviors of Improved Pulse Coupled Neural Network in Image Processing
    In order to further exploit the application depth of pulse coupled neural network (PCNN) in image processing, combined with network parameters, dynamic behaviors of an improved PCNN are analyzed theoretically and deduced by formula in detail. The influence of parameters' change on dynamic behaviors is proved, and the rule of parameters determination is proposed under the condition guaranteeing each neuron only fires once. Finally, the experiments implemented on the practical image segmentation indicate that the relationship between dynamic behaviors and parameters determination is accurate and the algorithm is effective.
    2008 Vol. 34 (10): 1291-1297 [Abstract ] ( 135 ) [HTML 0KB] [PDF 4208KB ]( 143 )


1298

ZHENG Hui-Cheng and SHEN Wei
  A Localized Linear Manifold Self-organizing Map
    This paper presents a method of localized linear manifold self-organizing map, which is able to learn a set of ordered low-dimensional linear manifolds in the high-dimensional vector space. Compared to state-of-the-art methods based on Kohonen's adaptive-subspace self-organizing map (ASSOM), our method avoids confusion of data in the manifold representation. Each neuron in the network approximately learns the mean vector and principal subspace of the data in its local region. The data representation is therefore more discernable. Experiments show that the proposed method performs much better than other three methods in separating clusters. In terms of handwritten digit recognition, the proposed method achieves an accuracy of 98.26\% on the training set of the MNIST database and 97.46\% on the test set.
    2008 Vol. 34 (10): 1298-1304 [Abstract ] ( 138 ) [HTML 0KB] [PDF 1713KB ]( 166 )


1305

TONG Chao-Nan, WU Yan-Kun, LIU Lei-Ming and LI Jiang-Yun
  Modeling and Integral Variable Structure Control of Hydraulic Looper Multivariable System
    The looper system in hot rolling has the features of nonlinearity, strong coupling, uncertainty, and multi constrained. To improve the accuracy and quality of control, an appropriate model ought to be built to realize the decoupling of looper height and tension. By analyzing the dynamic coupling process of looper system and using the mathematical models of hydraulic cylinder and servo valve, a dynamic mathematical model of hydraulic looper system was built at the vicinity of the working point. The control strategy of sliding mode variable structure for a multivariable system was introduced to decouple the system and improve control effect. Simulation results show the effectiveness of the algorithm and the better control effect of the looper control system after decoupling.
    2008 Vol. 34 (10): 1305-1311 [Abstract ] ( 119 ) [HTML 0KB] [PDF 2345KB ]( 122 )


1312

CHENG Hao, HUANG Lei, LIU Chang-Ping and TAN Nu-Tao
  A Two-Level Video Text Localization Algorithm Based on Strokes and Adaboost
    This paper proposes a new video text localization algorithm in a localization-to-verification framework. In the localization module, to take full advantage of character stroke attribute, the algorithm introduces a stroke operator which has a strong response to text regions; subsequently, it performs strokes extraction, stroke density filtration and region decomposition to obtain candidate text boxes. In verification module, the algorithm extracts edge oriental histogram features, which have strong discriminabilities for text and non-text, then the Adaboost classifier is used to verify candidate text boxes. Experimental results demonstrate that the proposed algorithm has strong robustness and is capable of obtaining relatively good localization results in various types of video frames.
    2008 Vol. 34 (10): 1312-1318 [Abstract ] ( 166 ) [HTML 0KB] [PDF 3984KB ]( 128 )
Brief Papers
 
 


1319

LI Jia-Wang, SONG Bao-Wei and SHAO Cheng
  Tracking Control of Autonomous Underwater Vehicles with Internal Moving Mass
    The trajectory-tracking control problem is investigated for an autonomous underwater vehicle (AUV) moving in the vertical plane using an internal point mass and a rear thruster as actuators. Combined with the dynamics of the point mass, the AUV is modeled as an underactuated system. A Lyapunov-based tracking controller is proposed by using backstepping approach to stabilize the error dynamics and force the position errors to a small neighborhood of the origin. Simulation results validate the proposed tracking approach.
    2008 Vol. 34 (10): 1319-1323 [Abstract ] ( 171 ) [HTML 0KB] [PDF 709KB ]( 183 )


1324

KANG Chun-Yu, ZHANG Xin-Hua and HAN Dong
  A Kind of Method for Direction of Arrival Estimation Based on Blind Source Separation
    Direction of arrival estimation and signal recovery are the bases of the underwater target tracking and target recognition, respectively. Based on the average time-delayed correlation matrices, a new kind of complex blind source separation is proposed. Then the DOA estimation and the corresponding signals of targets are calculated based on this method. Experimental results show that this method is superior to the multiple signal classification (MUSIC) method for realizing the same resolution at the same situation.
    2008 Vol. 34 (10): 1324-1326 [Abstract ] ( 139 ) [HTML 0KB] [PDF 399KB ]( 157 )


1327

BAN Xiao-Juan, NING Shu-Rong and TU Xu-Yan
  Research on Advanced Self-organization Behavior for Artificial Fish School
    Based on research work of Tu and Funge, the advanced self-organization behaviors of fish school were further researched. An self-organization approach of advanced behavior for artificial fish school was presented based on cognition. In this approach, each artificial fish was regarded as an agent, the self-organization behaviors of artificial fish school were emerged from the interactions among many agents, such as behavior planning of motion, predation and escaping. The biologic characteristics of natural fish school were shown, and the advanced behaviors of natural fish school were simulated. A cognition-based artificial fish school animation system was tested efficaciously using the approach of the advanced self-organization in this paper.
    2008 Vol. 34 (10): 1327-1332 [Abstract ] ( 138 ) [HTML 0KB] [PDF 3598KB ]( 205 )


1332

HU Zheng-Fa
  The Statistic Complexity Estimates and Its Application to Machine Learning
    The concept and the estimates of statistic complexity are given in this paper. We show that for a function class with a polynomial rate of the VC dimension, one can find a set of linear empirical functionals of polynomial size in the dimension that are sufficient for constructing a learning algorithm which can approximate any function in the class. At the same time, a random procedure to select these functionals is given.
    2008 Vol. 34 (10): 1332-1336 [Abstract ] ( 144 ) [HTML 0KB] [PDF 231KB ]( 187 )
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