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Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on

Date 11-13 May 2009

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Displaying Results 1 - 25 of 66
  • [Front cover]

    Publication Year: 2009 , Page(s): c1
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  • [Copyright notice]

    Publication Year: 2009 , Page(s): ii
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  • Table of contents

    Publication Year: 2009 , Page(s): iii - x
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  • Message from the Chairs

    Publication Year: 2009 , Page(s): xi
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  • Committee

    Publication Year: 2009 , Page(s): xii - xiii
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  • Novel gait recognition technique based on SVM fusion of PCA-processed contour projection and skeleton model features

    Publication Year: 2009 , Page(s): 1 - 4
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (416 KB) |  | HTML iconHTML  

    Gait is a potential behavioral feature, and many allied studies have demonstrated that it can be served as a useful biometric feature for recognition. This paper described a novel gait recognition technique based on support vector machine fusion of contour projection and skeleton model features. A principal component analysis method was used to lower the dimension of contour projection after segmenting silhouettes from the background in the key frame of gait picture sequence and a skeleton model was built to produce other shape features. The combining features were fused by a support vector machine and tested on the CASIA database at the feature level and decision level based on posterior probability. Experimental results have demonstrated the effectiveness and advantages of the proposed algorithm. View full abstract»

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  • Three-dimensional finite element modeling of Cochlear implant induced electrical current flows

    Publication Year: 2009 , Page(s): 5 - 7
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (762 KB) |  | HTML iconHTML  

    Cochlear implants have been one of most successful electronic devices implanted to human bodies to convert mechanical signals to electronic signals to stimulate auditory nerves to react. The current flow in the region of the cochlear is the key to determine the performance of cochlear implants. One of the efforts could be made to reduce current leakage into the brain to increase the efficiency of the device. This paper aims to construct a three-dimensional finite element (FE) model to examine the current flow path in different surrounding tissues involved. The MRI data is processed to generate solid model and then FE model for the numerical analysis, which contains gray and white matters of the brain that was assembled and was analyzed in ABAQUS. The modeling results provide us with an effective means to improvement of cochlear implant design in the future. View full abstract»

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  • A distributed technique for recognition and retrieval of faces with time-varying expressions

    Publication Year: 2009 , Page(s): 8 - 13
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (528 KB) |  | HTML iconHTML  

    Given a time-varying face image object, or only a sub-part of the image, the question of whether the template object image exists in a given image database is an important problem our days, which still remains in its infancy, due to the many challenges it involves. With the advantage of distributed computing, such as computation sharing and data storage sharing, the limitations of image retrieval in a centralized image database can be eliminated. In this paper, we present an efficient method and architecture to determine whether a given face, of sub-part (s) of it, with time-varying features, disguises, and facial expressions is stored in a collection of known faces stored in nominal configurations. We demonstrate If such image exists, a match report is presented and the image position and rotation are derived as well. We show here how by combining a distributed computing and image sub-patch correlation technique in the image pattern recognition phase, the performance of the image searching is significantly improved. View full abstract»

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  • Nonlinear static decoupling of six-dimension force sensor for walker dynamometer system based on artificial neural network

    Publication Year: 2009 , Page(s): 14 - 17
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (456 KB) |  | HTML iconHTML  

    The static coupling of six-dimension force sensor for walker dynamometer system is a key factor to limit its measuring precision. A new decoupling method based on artificial neural network is proposed in this paper. Relevant error check results shows that, after the calibration by using the back propagation neural network and radial basis function neural networks, the maximal system precision error with single-direction force was 7.78% and 4.33% and the maximal crosstalk was 7.49% and 6.52%,respectively. In comparison with traditional linear calibration method, the proposed technique can effectively increase the measurement accuracy of walker loads and greatly decrease the coupling effect. View full abstract»

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  • Automatic maintenance route planning of large-scale sensor networks

    Publication Year: 2009 , Page(s): 18 - 23
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (471 KB) |  | HTML iconHTML  

    The growing market for wireless sensor networks causes challenges and opportunities for their maintenance in the future. In various applications, sensor networks spread out to wide areas, and therefore their maintenance is costly. This paper studies application of the quality assurance knowledge of observations for the sensor network maintenance. Firstly, quality assurance techniques determine whether observations are correct or suspicious. Secondly, specially designed performance indices are applied to describe the observation history. The key is to determine the accuracy of observations and if all of them are available in the database as they are supposed to. Thirdly, maintenance routes are determined based on performance indices. Since this route-planning problem is close to the travelling salesman problem, routes are solved using either heuristic or evolutionary computing methods using somewhat similar ideas. This paper demonstrates the approach using surface weather stations. View full abstract»

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  • Multiscale entropy analysis of attention ralated EEG based on motor imaginary potential

    Publication Year: 2009 , Page(s): 24 - 27
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (457 KB) |  | HTML iconHTML  

    In China, there are approximate 1.3% to 13.4% of children who have attention deficit hyperactivity disorder (ADHD), which may affect their physiology and psychology development badly. Attention related electroencephalograph (EEG) signals during the limbs motor imagery can be used to tell the different levels of people's attention. Such an EEG-based attention level discrimination can provide a method in curing ADHD and it can also be used in curing altheimer's disease patients. The conventional methods purpose the feature extraction of limbs motor imagery. In this study, multiscale entropy (MSE) is introduced to discriminate the EEG signals recorded during three attention tasks. We have discriminated the different attention states by using this method, with 63.158% accuracy to some subjects. The effectiveness of the method is proved by our experiment. View full abstract»

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  • A high precision VLSI loser-take-all circuit for neural networks and fuzzy systems

    Publication Year: 2009 , Page(s): 28 - 31
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (539 KB) |  | HTML iconHTML  

    The design and simulation of a novel CMOS voltage mode LTA (loser-take-all) circuit is described. The circuit employs additional inhibitory and local excitatory feedback based on a common voltage computation and this improves both speed and precision drastically. As a result, a single stage cell provides better resolution in comparison to previous works where cascading of multiple stages is necessary to improve resolution. This makes the circuit suitable for systems where silicon area and power consumption are constraints. Moreover, the feedback arrangement ensures a single loser. Simulations in Cadence show that a single cell can resolve voltage differences as small as 0.5 mV in around 50 ns with 1 pF load capacitance. Detailed simulation results along with appropriate mathematical relations have been provided. This circuit is a fundamental building block in the competitive layer of self organizing neural networks, nonlinear filters, fuzzy and neuromorphic systems. View full abstract»

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  • Unsupervised feature selection algorithms for wireless sensor networks

    Publication Year: 2009 , Page(s): 32 - 37
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (487 KB) |  | HTML iconHTML  

    A wireless sensor network (WSN) is a distributed measurement system deployed over a geographical area to acquire physical information which, depending on the nature of the monitoring phenomenon, can be spatially correlated in space and time. Spatial correlation, to be intended here at different levels, can be exploited to reduce the communication bandwidth, implement articulated sensing and carry out energy saving policies. The paper aims at investigating unsupervised feature selection algorithms and how they can be used to exploit spatial correlation in WSNs. The interest is due to the fact that generation of a reduced set of features (i.e., aggregated data) has a positive effect on optimal energy management, hierarchical decision making and performance. Six algorithms have been critically discussed and contrasted both at theoretical and experimental levels. View full abstract»

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  • Ontology-based digital photo annotation using multi-source information

    Publication Year: 2009 , Page(s): 38 - 41
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1214 KB) |  | HTML iconHTML  

    The number of digital photos in the personal computer is exploding. In an effective photo management system, photo annotation is the most challenging task. The current photo annotation and management systems suffer from two crucial problems. One is the expression of semantic knowledge; the other is the way of photo annotation. Aiming at the former problem, this paper proposes to utilize ontology to organize the domain knowledge and provide formal, explicit and conceptual annotation. Meanwhile, a dual-level semi-automatic annotation approach is also proposed to resolve the latter problem. The rough annotation layer provides preliminary annotation by automatically extracting some semantic concepts from photo titles/texts, time concepts from EXIF metadata, and photo classification concepts from the result of face detection algorithms. The accurate annotation layer provides more detailed annotation by allowing users to modify, delete and add the annotation information freely. An ontology based photo management system OntoAlbum is implemented in this paper. Experimental results show that the proposed approach is very effective and promising. View full abstract»

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  • Aerial image clustering using genetic algorithm

    Publication Year: 2009 , Page(s): 42 - 45
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (537 KB) |  | HTML iconHTML  

    Interpretation of aerial images is an important task in various military and non-military applications. Image segmentation can be viewed as the essential step of extracting features in aerial images. Among many developed segmentation methods, the clustering methods have been extensively investigated and used. The determination of the number of clusters in a dataset is inherently a difficult problem, especially when the a priori information on the dataset is unavailable. In this paper, we propose a genetic algorithm-based clustering approach for aerial image segmentation. Our approach has two advantages: it can automatically determine the proper number of clusters and cluster the data according to the cluster validity index. The performance of the proposed approach is evaluated in conjunction with two cluster validity indices, namely Davies-Bouldin index and Xie-Beni index, respectively. Experimental results are provided to illustrate the feasibility of the proposed approach. View full abstract»

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  • Video image super-resolution restoration based on iterative back-projection algorithm

    Publication Year: 2009 , Page(s): 46 - 49
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (474 KB) |  | HTML iconHTML  

    Image fusion was one of the most important technology of pattern recognition. This paper proposed a fast superresolution image reconstruction algorithm basing on image sequences. Iterative back-projection (IBP) technique was used to construct high resolution from image sequences. roughly registered basing on feature and then use Registration algorithm basing on Gray to optimize the result. Iterative back-projection technique was used to construct high resolution from image sequences. Experimental results show that this algorithm solve the problem that the translation and rotation is small in traditional method. The details, definition and resolution of high resolution image processed with the proposed method are effectively improved. View full abstract»

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  • Motion planning in unknown environment using an interval fuzzy type-2 and neural network classifier

    Publication Year: 2009 , Page(s): 50 - 55
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (563 KB) |  | HTML iconHTML  

    This paper describes environmental recognition and motion control using weightless neural network classifier and interval type-2 fuzzy logic controller. The weightless neural network classifies geometric feature such as U-shape, corridor and left or right corner using ultrasonic sensors. The neural network utilizes previous sensor data and analyzes the situation of the current environment. The behavior of mobile robot is implemented by means of fuzzy control rules. Based on the performance criteria the quality of controller is evaluated to make navigation decisions. This functionality is demonstrated on a mobile robot using modular platform and containing several microcontrollers implies the implementation of a robust architecture. The proposed architecture implemented using low cost range sensor and low cost microprocessor. The experiment results show that the mobile robot can recognize the current environment and was able to successfully avoid obstacle in real time. View full abstract»

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  • An ontology-based approach to human telepresence

    Publication Year: 2009 , Page(s): 56 - 61
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (628 KB) |  | HTML iconHTML  

    Detecting human presence automatically is a challenging task since several environmental parameters may affect the quality and the continuity of detection. Although many techniques have been developed so far in the literature to solve this problem, they generally rely on well-defined operational context. Hence, they are sensitive to uncontrolled variables and unpredicted events. In this work an ontology-based approach to human telepresence detection is presented. Contrarily to classic sensor-driven techniques, a top-down methodology is applied. Starting from a formal description of the problem ontology, a set of high-response rate and low-response rate sensors is employed in a computational model. As a consequence of this model, a multi-sensor equipped device has been experimentally setup to conduct measurements on real scenarios. Experiments have been devised to estimate the robustness of the detection. In particular, some preliminary evaluations related to using a minimal set of chemical sensors are reported. View full abstract»

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  • Phase resetting and evoked activity contribute to the genesis of P300 signal in BCI system

    Publication Year: 2009 , Page(s): 62 - 65
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1359 KB) |  | HTML iconHTML  

    Brain-computer interface (BCI) is a new human machine interface. Currently, there is a debate about the genesis of the event-related potentials (ERPs). A constituent of the ERPs, the P300, appears to be closely associated with the cognitive processes of the brain. So this research focuses on the genesis of the P300. The event-related spectral perturbation (ERSP) and the inter-trial coherence (ITC) are used in the time-frequency analysis of the signals. The results shows that at the mean values of ERSP and ITC with a P300 signals are much larger than those without a P300 signals, from which we make a conclusion that two models about ERPs both contribute to the genesis of the P300. View full abstract»

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  • Fuzzy control for one kind of curing process

    Publication Year: 2009 , Page(s): 66 - 70
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (593 KB) |  | HTML iconHTML  

    In this paper, fuzzy control is proposed to control one kind of nonlinear curing process. The nonlinear curing process is firstly approximately modeled by the T-S fuzzy model, upon which fuzzy control is designed to guarantee the process stability and achieve the Hinfin tracking performance. Finally, the proposed method is applied to control the temperature profile of a practical curing process. View full abstract»

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  • Application of ant colony optimization to inspection planning

    Publication Year: 2009 , Page(s): 71 - 75
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (676 KB) |  | HTML iconHTML  

    Within this paper the application of an ant colony optimization (ACO) algorithm to inspection planning is presented. Since inspection planning is a time consuming task, optimizing these activities plays a major role in the quality inspection field. In this paper the extraction procedures of local inspection path planning (LIPP) and measurement device selection (MDS) to travelling salesman problem (TSP) and subset problem are presented respectively. An ACO algorithm based on Max-Min Ant System (MMAS) is presented for solving the problems. Experiment on industrial workpiece shows the applicability of ACO to inspection planning. View full abstract»

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  • Residual oxides detection and measurement in stainless steel production lines

    Publication Year: 2009 , Page(s): 76 - 79
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (588 KB) |  | HTML iconHTML  

    In this paper, we present a system to detect and measure the amount of residual oxide stains remaining in the surface of stainless steel coils after the pickling process in a production line. The system is able to acquire clear images of the stainless steel surface with the appropriate illumination and magnification, while it is being produced. These images are processed and analyzed in real time in order to detect and measure the oxide stains which typically are between 50 and 200 microns in size. We present here an outline of the acquisition system and the image processing algorithm which has been designed to detect this sort of defect. View full abstract»

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  • Research on wireless detection policy of the friction lifting'sliding

    Publication Year: 2009 , Page(s): 80 - 85
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (754 KB) |  | HTML iconHTML  

    The sliding between the wire rope and the liner is the most dangerous accident of friction lifting, it is necessary to do work to avoid sliding accident. We analysis the friction lifting dynamics behavior firstly, then build a creep model of friction lifting, based on which, a sliding phenomenon can be detected through collecting the difference of the velocities between the friction wheel and the guide wheel of friction lifting system. Base on the presented detection method, a wireless sliding detection system is developed, which consists of a host node in a lifting monitor room and two child nodes installed on the friction wheel and the guide wheel respectively. In the system, two child nodes collects the velocity of friction wheel and the guide wheel respectively, and transmit data to the host node by the wireless communication, then host node calculates the difference of the velocities between the friction wheel and the guide wheel ,and detects the sliding phenomenon. In the end, a wireless communication test between the host node and child node is presented, the test results displays that the velocity of the friction wheel and the guide wheel can be detected in real-time, and the host node can receive the data sent by the child nodes through wireless transmission. View full abstract»

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  • A hysteretic current controller for active power filter with constant frequency

    Publication Year: 2009 , Page(s): 86 - 90
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (573 KB) |  | HTML iconHTML  

    In accordance with the advantage of conventional hysteretic current control method, this paper advances a novel control method for active power filter (APF). In conventional hysteretic current control, the hysteretic band (HB) is fixed and actual compensating current is limited in a fixed hysteretic band. When the voltage source inverter (VSI) works in high-frequency state, as the switching frequency changes the problems such as increasing switching losses and audible noise will appear. In response to this problem, the constant frequency hysteretic current control method based on variable hysteretic band is advanced in this paper. Firstly, the connection between hysteretic band and switching frequency must be found correctly. Then, the variable hysteretic band current controller is designed according to the connection. Finally, the Matlab simulation results show that the switching frequency of VSI is held nearly constant and the proposed controller can track reference current well. The problems of increasing switching losses and audible noise which happened in high-frequency state can be resolved in conventional hysteretic current control. View full abstract»

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  • Decentralized UAV formation tracking flight control using gyroscopic force

    Publication Year: 2009 , Page(s): 91 - 96
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (509 KB) |  | HTML iconHTML  

    We consider the problem of formation flight for a set of unmanned air vehicles (UAV) in a possible obstacle laden environment. A novel decentralized control design procedure is developed which guarantees collision and obstacle avoidance. The control design is based on a modified virtual leader-follower structure and a simple consensus protocol. Vehicle collision and obstacle avoidance is ensured by comprehensively utilizing artificial potential function and the gyroscopic force approach. By introducing gyroscopic force, a smoother formation trajectory is obtained which makes the UAV maneuver behavior more reasonable and it also tackles the local minimal problem caused by artificial potential function method. Numerical simulations are provided to demonstrate the correctness of the algorithm. View full abstract»

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