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Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on

Date 15-17 July 2012

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Displaying Results 1 - 25 of 167
  • Runway detection using line segment statistical model

    Publication Year: 2012 , Page(s): 601 - 604
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1698 KB) |  | HTML iconHTML  

    To meet the needs of precise runway detection in remote sensing images, while reducing unnecessary adjustable parameters, an efficient and parameter free method is proposed to extract the straight edge of runway based on Helmholtz principle. By introducing the model of line segment model, we compute and analyze the gradient of the pixels on a given oriented line, and then the problem of line segment is classified into hypothesis test under tolerant significance. In theory, this proposed method can limit the number of false alarms and turns out to be parameterless. Using the end point of detected line segment, the extraction of parallel line is of light computational burden. The results of concrete surface and pitch surface airport show our method avoid initializing the type of runway, and is not sensitive to noise and the gray-level difference between airport and ground. The final allocation of runway in an image is accurate and the turning around time is greatly condensed. View full abstract»

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  • A tri-modal Schema for cognitive neuroscience research

    Publication Year: 2012 , Page(s): 458 - 462
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1185 KB) |  | HTML iconHTML  

    There have been lots of tools for cognitive neuroscience research and some of them such as eye tracking, EEG grow up quickly. However, as each tool can only complete single function and most of technologies are not very mature, there is still a long road to get a convincing conclusion. In view of that, this paper proposes a tri-modal Schema combining EEG, eye tracking and image recognition for cognitive neuroscience research. The Schema contains the architecture to build such an experiment environment and the steps of data analysis. How to acquiring a signal with few artifacts and synchronize all the signals are focused. It provides a robust solution for establish an experiment environment quickly. View full abstract»

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  • Learning and control in virtual reality for machine intelligence

    Publication Year: 2012 , Page(s): 63 - 67
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (259 KB) |  | HTML iconHTML  

    This paper presents a Virtual Reality (VR) interactive platform for learning and control for machine intelligence based on Adaptive Dynamic Programming (ADP). Recent research results have provided strong evidences that ADP could be a key technique for brain-like intelligent systems design, and VR is a powerful human-computer interface which can provide a three-dimensional (3D) active virtual environment. Converge these two subjects, we design an interactive system to facilitate and demonstrate the learning and control in VR environment with ADP. Our main goal in this paper is two-fold. First, we demonstrate that VR could be a useful platform to demonstrate and visualize machine intelligence research through the simulated 3D environment. Second, the integration of VR into machine intelligence research can provide a powerful platform to simulate, validate and facilitate the real-time interaction between the intelligent system and an unstructured environment. We discuss the detailed design strategy of the VR platform, and also demonstrated the interactive system performance based on the triple link inverted pendulum benchmark. View full abstract»

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  • Observer-based control predictor for networked control system with uncertain time delays and packet dropouts

    Publication Year: 2012 , Page(s): 233 - 238
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1138 KB) |  | HTML iconHTML  

    Networked control system improves system flexibility, control efficiency and reduces component installation and maintenance cost, however, network-induced time delays and packet dropouts may degrade or even destabilize the system. This paper proposes a novel predictive observer based control strategy to solve this problem. Random time delays and packet dropouts are considered in a more natural way without any limitations in both backward and forward channels. A mixed event-time driven predictive controller is designed to effectively compensate the long delays and lost packets. Stability of newly developed NCS model is analyzed. Simulation results show the effectiveness of the proposed strategy and guarantee the performance of the closed-loop system. View full abstract»

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  • 3DOF ascent phase trajectory optimization for aircraft based on adaptive Gauss Pseudospectral Method

    Publication Year: 2012 , Page(s): 431 - 435
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1188 KB) |  | HTML iconHTML  

    3DOF ascent phase trajectory optimization problem for minimum fuel-to-climb is investigated in the research. The Gauss Pseudospectral Method (GPM) and adaptive strategy is proposed to transcribe the trajectory optimization problem into a Nonlinear Program Problem (NLP). Then, the Sequential Quadratic Programming (SQP) integrated in a sparse nonlinear program solver named SNOPT is used to solve the resulting NLP problem with a proper initial guess. The optimality of the ascent trajectory is also checked via Bellman's principle. The simulation results demonstrate that the method can generate a feasible 3DOF ascent trajectory with all constraints satisfied. View full abstract»

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  • Controller for unstable time delay system using polynomial method

    Publication Year: 2012 , Page(s): 417 - 421
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1160 KB) |  | HTML iconHTML  

    This paper presents a methodology of the controller design for an unstable time delay system. The proposed method based on the polynomial approach and the pole assignment method yields a class of CT controllers ensuring set-point tracking as well as load disturbance attenuation. The time delay term is approximated by the first order approximation. The control configuration with two feedback controllers is considered. The resulting controllers obtained by polynomial Diophantine equations are stable ones. Three methods of the closed-loop pole assignment are used. Simulation results are presented to illustrate the proposed method. View full abstract»

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  • Exponential stability in mean-square of Markovian jump stochastic bilinear systems with saturating actuators and time-varying delay

    Publication Year: 2012 , Page(s): 454 - 457
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1116 KB) |  | HTML iconHTML  

    This paper investigates exponential stability in mean-square of stochastic bilinear systems with saturating actuators. The system is described by state differential equation with Markovian jump and time-varying delay in state and input. A sufficient condition for exponential stability in mean-square of the system is given according to Lyapunov-Krasovskii theory. A numerical example shows that the approach proposed is effective. View full abstract»

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  • Stabilization of nonlinear multiple channels data transmission networked control systems

    Publication Year: 2012 , Page(s): 239 - 244
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1174 KB) |  | HTML iconHTML  

    In this note, a new nonlinear Markovian jump systems model is proposed to describe the nonlinear multiple channels data transmission networked control systems (NCSs) with network-induced data loss and time-varying delay. By choosing appropriate stochastic Lyapunov functional, a sufficient condition is derived, and the obtained condition establishes the relation of the maximum allowable delay bound and the nonlinearity level to the stochastic stability of the augmented nonlinear NCSs. Design procedures for mode-dependent output feedback controllers are also presented in terms of solving corresponding linear matrix inequalities (LMIs). An illustrative example is provided to demonstrate the effectiveness of the proposed methods. View full abstract»

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  • Role of numerical competence in preschoolers' affective decision-making

    Publication Year: 2012 , Page(s): 36 - 39
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (947 KB) |  | HTML iconHTML  

    The present study aims to examine the effect of preschoolers' numerical competence on their affective decision-making (ADM). Four numerical tasks (pointing count, estimating count, simple adding, and simple subtracting) and a standard child gambling task (CGT) have been administrated on 62 Chinese mandarin-speaking preschoolers (mean age = 55.69 months, range = 43 months to 65 months, 30 boys and 32 girls). The results demonstrate that the Pearson correlation between preschoolers' numerical competence and their ADM in each block of the CGT is significant, and the proportion advantageous minus the proportion disadvantageous from the preschoolers with better numerical competence is consistently higher than that from the preschoolers with poorer numerical competence in each block of the CGT, suggesting that better numerical competence will help preschoolers make more advantageous choices on the CGT. While the relation pattern in girls' performances is more obvious than that in boys'. View full abstract»

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  • Robust adaptive neural control of uncertain pure-feedback nonlinear systems

    Publication Year: 2012 , Page(s): 108 - 113
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (687 KB) |  | HTML iconHTML  

    A robust adaptive neural control design approach is presented for uncertain pure-feedback nonlinear systems. In the control design process, only one neural network is used to approximate the lumped unknown part of the systems, and the problem of complexity growing existing in conventional methods can be eliminated completely. The result of stability analysis shows that the proposed scheme can guarantee the uniform ultimate boundedness of the closed-loop system signals, and the control performance can be guaranteed by an appropriate choice of the control parameters. A simulation example is given to demonstrate the effectiveness of the proposed approach. View full abstract»

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  • Histogram of phrase correlation combined with MIL for human action recognition

    Publication Year: 2012 , Page(s): 670 - 673
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1621 KB) |  | HTML iconHTML  

    In this paper, we propose a new feature called HPC (Histogram of Phrase Correlation) for human action based on phrase correlation. For classification, use a multiple instance learning framework to describe the HPC features as instances. By using a discriminative approach, we embed each video into HPC-based space and the coordinates of the video in that space are used for classification by using the k-nearest neighbor algorithm. Experiments show that the HPC feature is a useful feature for describing actions. View full abstract»

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  • Calculation method of P2P reputation based on recommendation

    Publication Year: 2012 , Page(s): 245 - 247
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1303 KB) |  | HTML iconHTML  

    By calculating the entropy of information and the similarity of reputation evaluation between peers, it improves the availability of recommended reputation and reduces the negative impact on recommended collusion to the synthesis of indirect reputation. The results show that the method can enhance the availability of recommended reputation, and then reduce the impact on the authenticity of reputation. View full abstract»

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  • Calculating flight program and launch time window for intercept missile

    Publication Year: 2012 , Page(s): 436 - 440
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (678 KB) |  | HTML iconHTML  

    The flight program and launch time window for intercept missile vary with any influence factors such as the launch position, predict hit points, and so on. So it's necessary to find a fast algorithm in calculating the flight program and launch time window for improving combat capability. Considering influence factor of rotation of the earth, geostrophic force, and the J2 perturbation, three-dimensional dynamics for intercept missile were presented. In this article we find a fast algorithm in calculating the flight program and launch time window based on least-squares iteration, and the simulation results show that this algorithm is valuable to engineering application. View full abstract»

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  • Direct instantaneous torque control combined with torque sharing function strategy for switched reluctance drive

    Publication Year: 2012 , Page(s): 386 - 389
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1037 KB) |  | HTML iconHTML  

    The inherent highly nonlinearity of switched reluctance motor not only makes it difficult to eliminate torque ripple with conventional average torque control techniques, but also restricts its application in the high-performance servo systems. A novel control strategy combing direct instantaneous torque control with the torque sharing function control is proposed in this paper. In order to track the reference torque accurately, the instantaneous torque is directly controlled by a hysteresis and PWM controller with torque sharing function. The control strategy is applied to a prototype motor control system, and is verified by the experiment results. View full abstract»

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  • Dynamic stability of the aerial work platform based on ZMP

    Publication Year: 2012 , Page(s): 422 - 425
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1119 KB) |  | HTML iconHTML  

    This paper presents a new method to deal with the dynamic stability for the aerial work platform. To define the dynamic stability for aerial work platform, Zero Moment Point (ZMP) is used. The ZMP formulation is derived for the detail based on the ZMP theory. The valid stable region and stability degree are adopted for stability criterion. Finally, the performance of the proposed method is demonstrated by simulation. View full abstract»

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  • Relative shape context based on multiscale edge features for disaster remote sensing image registration

    Publication Year: 2012 , Page(s): 605 - 609
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1980 KB) |  | HTML iconHTML  

    When disasters occur, image local gradients change significantly, whereas global shapes and structures remain relatively stable. Considering the low matching positive ratio in original SIFT, this paper propose a novel registration algorithm using Relative Shape Context (RSC) based on multiscale edge features. Firstly, edge features of global shapes and structures are extracted. Then an equivalent difference of Gaussian (DOG) space is used to detect local scale invariant features of multiscale edge images. Finally, RSC is performed as feature descriptor to find matching points. Experimental results show that the new algorithm is suitable for multiscale images and is invariant to a range of rotation angle changes. The distinctive novel algorithm owns much higher matching accuracy and is more stable than original SIFT. View full abstract»

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  • Network-based robust and reliable fuzzy-observer-based H tracking control for fuzzy interconnected systems

    Publication Year: 2012 , Page(s): 284 - 289
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (802 KB) |  | HTML iconHTML  

    This paper investigates the robust and reliable fuzzy-observer-based H tracking control issue in NCSs for the fuzzy large-scale interconnected systems with time-delay, which are composed of a number of T-S fuzzy subsystems with interconnections. The premise variables of T-S systems depend on the state variable estimated by the fuzzy observer. Network-induced time delays and packet losses are addressed. Linear matrix inequalities (LMIs)-based conditions with some free variables are derived to guarantee the H tracking performance not only when all control components are operating well, but also in the presence of some possible actuator failures. Moreover, the precise failure parameters of the actuators are not required, and the requirements are only the lower and upper bounds of failure parameters. Therefore, obtained results are less conservative. Finally, a simulation example is provided to illustrate the design procedure and its effectiveness. View full abstract»

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  • Region disparity estimation and object segmentation based on graph cut and combination of multiple features

    Publication Year: 2012 , Page(s): 610 - 613
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1103 KB) |  | HTML iconHTML  

    Moving objects segmentation is the foundation of intelligent moving body information collection. In the monocular vision system, it is too difficult to segment the foreground from background when their grayscale and color are similar. Compared with the grayscale and color, the scenery depth are less susceptible to external environment, if depth information can be got in stereo vision, it would be much easier to segment the foreground. Unfortunately, scenery accurate dense disparity map is often hard to get. In the paper, an optimizing method of calculating the dense disparity based on graph cut is used, and based on the dense disparity, the features of color and disparity are combined by graph cut to improve the accuracy of the image segmentation. The experimental results show that the method provides a better dense disparity map and also reduces the effect of light and strengthens the stability of segmentation by combining the features of color and disparity in graph cut optimization algorithm. View full abstract»

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  • Identification of a class of hyperbolic distributed parameter systems via deterministic learning

    Publication Year: 2012 , Page(s): 97 - 102
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5587 KB) |  | HTML iconHTML  

    In this paper, we investigate a class of hyperbolic distributed parameter systems(DPS), the Sine-Gordon (SG) equation with damp and driven. The plant is a hyperbolic type partial differential equation(PDE) and has been broadly applied for physics and other relevant realms. Instead of identifying the parameters of DPS, the purpose of the paper is to identify the infinite-dimensional dynamics of DPS. By using the method of lines we translate the DPS described by PDE into a set of ODEs, then the dynamics of the DPS are obtained by using the deterministic learning theory and represented by constant radius basis function(RBF) neural network. Furthermore the knowledge also can be used for control or identification. View full abstract»

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  • A novel time-frequency analysis of power system

    Publication Year: 2012 , Page(s): 390 - 394
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1662 KB) |  | HTML iconHTML  

    In the past decade, with the rapid increase of large capacity load in the power system, the power-quality (PQ) disturbance has become a serious problem. In this study, a novel time-frequency analysis method, namely the null space pursuit-Hilbert transform (NSP-HT), is introduced to detect and identify the power-quality disturbance. The proposed method is an operational combination of the null space pursuit algorithm (NSP) and the Hilbert transform (HT). It decomposes a signal into many components according to their characteristics with NSP, and gets their instantaneous frequency at the same time. Then HT is employed to detect the instantaneous amplitude of each component. In the case studies considered here, some simulation experiments, including harmonics, interharmonics, voltage sag and voltage signal with changing frequency and amplitude of harmonics, will be investigated by using the proposed analysis method. View full abstract»

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  • Modeling gravity gradient data for gravity gradient aided navigation system

    Publication Year: 2012 , Page(s): 531 - 535
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1122 KB) |  | HTML iconHTML  

    Nowadays, a completely self contained, passive navigation system that relies on gravity gradient instrument for INS aiding within non-GNSS(Global Navigation Satellite System) environments has been widespread concern. In order to research this system, a high accuracy and resolution gravity gradient data is what you should first gain. This paper presents the model used to simulate the gravity gradient for this passive navigation system. First describe how the gravity gradient is typically modeled using spherical harmonic and local terrain models. Then we will combine these two models to gain a more realistic representation of the earth's gravity gradient. To verify the gradient modeling techniques and obtain the performance in different scenarios, we choose two different terrain variation areas and do the simulation respectively. High resolution full-tensor disturbance gradient data in these two areas were gained. Simulation test show that the method is feasible and effective. View full abstract»

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  • Discussion of multi-cracks problem

    Publication Year: 2012 , Page(s): 521 - 524
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (995 KB) |  | HTML iconHTML  

    The generalized arbitrary cracked problem in an elastic plane is discussed in this paper. Comparing with the classical plane elastic crack model, in the discussion, the problem solving become much easier through modifying some known conditions instead of adding any now known condition. The general exact analytic solution is given here based on this formulation though the problem is very complicated. Furthermore, the stress intensity factors KI, KII of the problem are also given. View full abstract»

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  • sEMG activities detection by improved Sobel algorithm

    Publication Year: 2012 , Page(s): 476 - 481
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (851 KB) |  | HTML iconHTML  

    How to auto-complete surface electromyography (sEMG) activities detection, and improve its accuracy is an important prerequisite to achieve real-time and effective control of myoelectric prosthesis. In this paper, activities detection problem can be equivalent to the edge detection problem in image processing. Taking the advantage of the edge maximum a posteriori estimates, a threshold set is proposed to improve the Sobel operator. Meanwhile, according to the certain similarity between the activities detection and speech endpoint detection, the improved Roberts edge detection, and two kinds of pattern recognition methods - automatic clustering and minimum error rate Bayes classification which were used in speech processing are applied to try sEMG activities detection. The comparison experiments of four methods are carried out. The experimental results show that the four algorithms can achieve the sEMG activities detection automatically, and in which the improved Sobel algorithm has the best test results. View full abstract»

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  • Rendezvous of networked autonomous surface vehicles with distributed neural protocols

    Publication Year: 2012 , Page(s): 120 - 125
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (865 KB) |  | HTML iconHTML  

    This paper is concerned with the rendezvous problem of multiple autonomous surface vehicles subject to environmental disturbances and dynamical uncertainties. Distributed neural rendezvous protocols, based on the positions of neighboring vehicles, are proposed by employing neural networks, back-stepping and graph theory. The control design is developed for connected undirected communication graphs without requiring the accurate models of the vehicles. Based on Lyapunov analysis, all signals in the closed-loop networked system are guaranteed to be uniformly ultimately bounded. Simulation results demonstrate the efficacy of the proposed method. View full abstract»

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  • Using hybrid quantum algorithm to solve VRPTW

    Publication Year: 2012 , Page(s): 59 - 62
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (128 KB) |  | HTML iconHTML  

    Proposed a novel optimal algorithm of hybrid quantum particle swarm optimization to solve VRPTW through combining QPSO with simulated annealing algorithm. The analysis of experimental data verified that the novel algorithm can improve the convergence reliability and speed within short time, and it is an effective solution for VRPTW. View full abstract»

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