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Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on

Date 26-27 Aug. 2012

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  • [Front cover - Volume 2]

    Page(s): C4
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  • [Title page i - Volume 2]

    Page(s): i
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  • [Title page iii - Volume 2]

    Page(s): iii
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  • [Copyright notice - Volume 2]

    Page(s): iv
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  • Table of contents - Volume 2

    Page(s): v - xi
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  • Preface - Volume 2

    Page(s): xii
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  • Committee Members and Reviewers - Volume 2

    Page(s): xiii - xvi
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  • Design and Realization of Fuzzy Self-tuning PID Water Temperature Controller Based on PLC

    Page(s): 3 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (237 KB) |  | HTML iconHTML  

    Temperature Control System has the characteristics of nonlinear, strong delay and inertia, and it is difficult to build the accurate mathematical models of the system. Conventional PID controller can not achieve precise control because its control parameters are fixed, in order to gain better control effect, Fuzzy control technology is introduced based on the traditional PID control, This method combines fuzzy control theory which have the feature of better dynamic performance with the advantages of the traditional PID control method which has a high stable precision and strong robustness. Finally, Fuzzy Self-tuning PID water temperature control system design is realized by PLC, The experimental results show that the Fuzzy Self-tuning PID temperature controller has better control performance than the traditional PID controller. View full abstract»

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  • Model-based Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System

    Page(s): 7 - 12
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (234 KB) |  | HTML iconHTML  

    In view of the future development trends of Spacecraft Autonomy as well as particularity of Spacecraft Propulsion System, this paper proposes a model-based approach to Intelligent Configuration and Reconfiguration of Spacecraft Propulsion System. In this paper, given advantages of Satisfiability (SAT) planning in calculation performance and knowledge representation, we advance to transform Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System into an Optimization Satisfiability problem and put forward a Clause-Based A* (CBA*) solving algorithm based on characteristic of description in SAT form. Finally, taking a high redundant spacecraft propulsion system as the object, the feasibility of SAT-based Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System is verified. View full abstract»

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  • Algorithm for Generating Body Medial Axes Based on Minimum Exterior Rectangle

    Page(s): 13 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (197 KB) |  | HTML iconHTML  

    In this paper a new algorithm is proposed for extracting medial axes of object. This algorithm is based on minimum exterior rectangle and edge detection. First, edge detection algorithm is used to each image to obtain all the boundary points exactly, and the center of each object is evaluated. Then, the directions of major and minor axes of the object be obtained using the center-point and boundary-points. The four vertexes of the bounding rectangle are computed by pair wise solving the four straight lines. At last, using FMABR's short axes to scan the object boundary points, all the middle point of the line which made by the scan line and boundary points buildup the medial axes of the object's body. The algorithm has both simplicity and accuracy properties. View full abstract»

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  • A Barcode Recognition Based on Multiform Algorithms

    Page(s): 17 - 20
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (374 KB) |  | HTML iconHTML  

    This paper takes EAN-13 barcode as an example to introduce multiform algorithms about automatic recognition. The algorithms consist of SIFT algorithm and the algorithm of optimized similar border distance measurement. Respective experimented on the same barcode, we got the result about the two algorithms. We acquired their characteristics and the fields which they are suited in. By experiment, all of them have high rate of recognition, low requirement for images and high calculating speed. So, they can meet the needs of responsiveness and automation well. View full abstract»

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  • Design and Implementation of the News Coverage for Command and Control System Based on GIS

    Page(s): 21 - 24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (341 KB) |  | HTML iconHTML  

    The business needs of current news report are firstly introduced in this paper, while the objective of GIS-based news report commanding & dispatching system, the functions of sub-modules, structural design and system advantages of that are also stated. Moreover, the specific design of the system work flow is explained in detail, finally the design and actualization methods for the system are presented as well. View full abstract»

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  • Study on the Subjective and Objective Text Classification and Pretreatment of Chinese Network Text

    Page(s): 25 - 29
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (175 KB) |  | HTML iconHTML  

    Subjective and objective text classification is widely used in product reviews, video reviews, social public opinion analysis and micro-blogging attitude analysis. To solve the existing problem of network text formalization in subjective and objective text classification, a machine learning classification method based on network informal language (NIL) is proposed. Firstly, a network informal dictionary is constructed by writing a web crawler to collect informal words which can be divided into two categories: typical type and fuzzy type. Then, different methods are put forward to formalize the informal network text based on the two types of informal words. Finally, we adopt the Native Bayes classifier and Sequential Minimal Optimization classifier to distinguish subjectivity and objectivity of the text. The experimental results reveal that the method we proposed can improve the accuracy of subjective and objective text classification. View full abstract»

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  • Neural Network Approach for Semivectorial Bilevel Programming Problem

    Page(s): 30 - 33
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (173 KB) |  | HTML iconHTML  

    A novel neural network approach is proposed for solving semivectorial bilevel programming problem, where the upper level is a scalar-valued optimization problem and the lower level is the linear multiobjective programming. The proposed neural network is proved to be Lyapunov stable and capable of generating optimal solution to the semivectorial BP problem. The numerical result shows that the neural network approach is feasible and efficient. View full abstract»

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  • A Visualized Drilling Geological Design Method Based on Spatial Database

    Page(s): 34 - 37
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    Drilling geological design is very important in gas and oil development. The purpose of this research is to improve geological analysis and design methods which were mostly based on manual work before with low efficiency and accuracy. On the basis of spatial database and graphical analysis, a new visualized method for drilling geological design is proposed, which has been applied in Daqing oilfield. View full abstract»

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  • The Path Planning Algorithm Research Based on Cost Field for Autonomous Vehicles

    Page(s): 38 - 41
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (372 KB) |  | HTML iconHTML  

    This path planning algorithm is used for the autonomous vehicle driving in the unstructured road. The gradient grid which is obtained from the point cloud data is used as the cost field. Considering the traffic-ability of autonomous vehicle, the cost field needs to be corrected by the High-resolution gradient and elevation grid in this paper. Then transforming the grid model into the network-node model. In this way, the cost field model can be used for the optimal path algorithm, such as the Dijkstra algorithm. View full abstract»

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  • Integrated Robust Dynamic Inversion Design of Missile Guidance and Control Based on Nonlinear Disturbance Observer

    Page(s): 42 - 45
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (179 KB) |  | HTML iconHTML  

    A robust dynamic inversion control law based on nonlinear disturbance observer is proposed for the integrated guidance and control of missile. Firstly the pitch channel of integrated guidance and control model was established. According to this model, a robust nonlinear integrated guidance and control law was designed by adopting dynamic inversion approach. Then, a nonlinear disturbance observer is employed to estimate the unknown compound disturbance and compensate them. Based on the Lyapunov stability theorem, we proved that all signals of the composite closed-loop are uniformly ultimately bounded. Finally, Simulation results demonstrate the effectiveness of the control scheme. View full abstract»

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  • A Control System of Vehicle Rear-end Anti-collision

    Page(s): 46 - 48
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (143 KB) |  | HTML iconHTML  

    This paper puts forward a control method of vehicle rear-end anti-collision security system from the point of view of ensuring the traffic safety. The system makes full use of the electromagnetic devices which are installed on the trail of leading vehicle and the head of following vehicle. It uses the principle of electromagnetic repulsion of the same. When the leading vehicle suddenly slows down or has an emergency stopping, the devices open at the same time to increase the deceleration of following vehicle to set up an automatic auxiliary braking system. The purpose of the method is to avoid the driver's reaction delay and ensure the car safety immediately. Meanwhile, it can improve the efficiency of deceleration. This paper analyses the feasibility of the method from two aspects: safety distance and deceleration efficiency. View full abstract»

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  • The Study of Adaptive Line Spectrum Enhancement by Pressure and Particle Velocity Combined

    Page(s): 49 - 52
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (220 KB) |  | HTML iconHTML  

    In order to solve the problem of underwater acoustic target detection and identification in the low-frequency, long-range, advantages of the vector hydrophone characteristics which measures three dimensional acoustic particle velocity vector, as well as the acoustic pressure at one location, are used to improved the acoustic pressure adaptive line spectrum enhancer. Analysis of simulation data under different SNR and measured target radiated noise data show that the performance of pressure and particle velocity combined adaptive line enhancer on target radiated noise characteristic line spectrum is indeed better than the traditional ones in low SNR cases. View full abstract»

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  • A New Fuzzy Control and Dynamic Modeling of Bicycle Robot

    Page(s): 53 - 58
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (497 KB) |  | HTML iconHTML  

    A dynamic model of bicycle robot is established based on the Lagrange method, and its motion features, which include nonlinear and parameter time-varying, are analyzed. A new fuzzy control is proposed to make the bicycle robot system achieve favorable control effects including good dynamic and steady-state performance. This new fuzzy control can be divided into two components. In the first part, the fuzzy control method, which is on the basis of the individual riding experience, is used to promote the dumping bicycle to swing back to the equilibrium position. In the second part, the adaptive fuzzy PID method is employed to eliminate static error and guarantee the bicycle robot no vibration near the equilibrium position. Concerning reliability of switching process, the fuzzy method of smooth switching is used to guarantee the steady transition between these two different control strategies. Since it is difficult to select the initial values of the adaptive fuzzy PID method, a modified particle swarm optimization (MPSO) method is utilized to optimize the initial parameters off-line. To show high efficiency and the accuracy of this proposed algorithm, simulation results demonstrate that the stability of bicycle robot can be guaranteed by using this design scheme. View full abstract»

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  • Visual Servo Control of a Two-axis Turntable Based on Fuzzy Cerebellar Model Articulation Controller

    Page(s): 59 - 62
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (322 KB) |  | HTML iconHTML  

    In visual servo control system, the design of visual loop is a key link to precise tracking. To improve tracking accuracy, we discuss a FCMAC-based (fuzzy cerebellar model articulation controller) control strategy. The controller includes a basic proportional regulator and a FCMAC controller. The two blocks work together to approximate the visual-mapping model through an adaptive online learning law to adjust the weights of the network. By mapping the 2-D image characteristic space to the 3-D kinematic space, we can achieve the control task of a turntable directly through visual information. Applying the proposed method to a two-axis turntable to track a dynamic object, experimental result indicates that FCMAC is capable of accurately approximating visual-mapping model. The visual system shows a good performance in both accuracy and robustness. View full abstract»

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  • Head Pose Recovery Using 3D Cross Model

    Page(s): 63 - 66
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    This paper presents a new method for 3D head pose recovery from video by using a novel 3D cross model to track the head motion. Given an initial frontal face of a head, a biologically-plausible 3D cross model is constructed to represent the head which is robust to lighting and facial expression changes. By updating the model templates dynamically, the effects of self-occlusion, head large motion and gradual illumination changes can be diminished. When the head is hidden or moves out of scenes, the model is reinitialized automatically. Experimental results show that the method can efficiently recover the head pose and eliminate problems of the cumulative error and illumination changes. View full abstract»

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  • An Integrated Contour Error Real-time Self-control Method

    Page(s): 67 - 71
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (373 KB) |  | HTML iconHTML  

    For contour machining systems, the machining contour accuracy more directly affects the machining accuracy of work piece than the single-axis location accuracy. Therefore, the research on motion contour control of manufacturing equipments has an important significance to improve their machining accuracy. Considering the embedded NC real-time contour control requirements, the contour self-control scheme based on real-time contour error compensation control technique and fuzzy logic theory is proposed. In the control method, a feed rate adjusted loop based on fuzzy logic is added. And it could improve the variable window size problem in the real time contour error compensation control technique. Simulation results on the second-order mathematical model of two-axis controlled contour motion are provided to illustrate the proposed control methods. View full abstract»

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  • Adaptive Neural Fuzzy Networks Model of Automobile Performance Monitoring

    Page(s): 72 - 75
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (188 KB) |  | HTML iconHTML  

    The model for automobile engine performance monitoring and fault detection was proposed based on adaptive neural fuzzy interference system. With recognition mechanism of the adaptive neural fuzzy interference system, according to the properties of entropy, this paper using entropy optimizes the input interface of adaptive neural fuzzy interference system , this model was combined with characteristic performance of automobile engine to attain the degrees of engine performance's abnormal state for monitoring engine performance. The approach can sensitively and accurately reflect the whole performance of the engine. Meanwhile, this method improves the rate of identifying whether the performance of the engine is normal or not, finds out the potential forepart fault of engine and prevents the spread of the fault. The validity of this method is testified by monitoring certain type of cummins engine 6BT5.9. View full abstract»

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  • A Human Action Recognition Method Based on Tchebichef Moment Invariants and Temporal Templates

    Page(s): 76 - 79
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    In this paper, a new human action recognition method based on Tchebichef moment invariants and temporal templates is presented. We use the motion energy image (MEI) and motion history image (MHI) as the feature representation of the human action at first. Then the Tchebichef moment invariants extract the feature vectors of MEI and MHI. Tchebichef moment invariants perform better than Hu moment invariants and Zernike moment invariants. Finally cluster the actions and use the nearest neighbor algorithm to recognize each human action. The result of these experiments suggests that this method has a high recognition rate in in both noise-free and noisy condition. Therefore, the algorithm has a good robustness. View full abstract»

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