{"title":"Model Identification and Control Method Study on Electro-Hydraulic Pressure Servo System","authors":"Junpeng Shao, Guihua Han, Y. Dong, Zhongwen Wang","doi":"10.1109/ICICIC.2009.262","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.262","url":null,"abstract":"Mathematic model of electro-hydraulic pressure servo test bench was obtained based on xPC technique. In order to improve the tracking performance of the pressure servo system a new nonlinear hybrid controller was developed according to the mathematic model, which composed of a classical PID controller and a fuzzy controller based on self-adjusting modifying factor. And interpolation method was used in the modifying factor fuzzy number model; a fuzzy switching mode was employed to avoid the undesirable disturbances caused by the switchover between the two control methods. The hardware-in-the-loop simulation results show that the problems of steady-state error for fuzzy control and rapidity for PID control are solved, and the comprehensive performance of electrohydraulic pressure servo is enhanced when load rigidity and mass changed.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122514290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Image Watermarking Optimized for Pre-Specified Fidelity","authors":"Yueh-Hong Chen, Hsiang-Cheh Huang","doi":"10.1109/ICICIC.2009.70","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.70","url":null,"abstract":"Embedding watermarks into images can be referred to as a constrained optimization problem. Keeping image quality acceptable and maximizing watermark strength is more meaningful and applicable to a user than fixing strength parameter and minimizing distortion. In this paper, we propose an approach that hides watermarks in relationships between wavelet coefficients. This approach would maximize the strength of the watermark while keeping the perceptual distortion of watermarked images, measured with PSNR equal to an acceptable value specified by the user. Experimental results show that the watermark is still detectable after common image processing operations such as JPEG compression, Gaussian filtering and sharpening.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114279231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tomonari Yamaguchi, M. Fujio, K. Inoue, G. Pfurtscheller
{"title":"Design Method of Morphological Structural Function for Pattern Recognition of EEG Signals During Motor Imagery and Cognition","authors":"Tomonari Yamaguchi, M. Fujio, K. Inoue, G. Pfurtscheller","doi":"10.1109/ICICIC.2009.161","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.161","url":null,"abstract":"Electroencephalograph (EEG) recordings during right and left hand motor imagery can be used to move a cursor to a target on a computer screen (such system is called BCI). Recently, we have proposed the detection method of Error Potential in order to add the fail safe function to BCI system. In this paper, feature extraction method based on morphological multi-resolution analysis is introduced to extract features concerned with motor imagery and cognition simultaneously from the EEG signals. Morphological filter is composed of nonlinear operation between signal and structural function and this multi-resolution analysis can be constructed by repeating this filtering to signal while changing structural function. This method is a kind of discrete wavelet analysis with non-linear characteristics and is effective to extract specific shapes. The structural function which decides the filter characteristic is designed to obtain optimal separation based on mutual information algorithm or spectrum dividing algorithm.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114292330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huo-Ching Sun, Yann-Chang Huang, Kun-Yuan Huang, Wei-Chi Su
{"title":"Vibration Fault Diagnosis of Rotating Machinery in Power Plants","authors":"Huo-Ching Sun, Yann-Chang Huang, Kun-Yuan Huang, Wei-Chi Su","doi":"10.1109/ICICIC.2009.378","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.378","url":null,"abstract":"This paper presents a novel data mining approach for fault diagnosis of turbine-generator units. The proposed rough set theory based approach generates the diagnosis rules from inconsistent and redundant information using genetic algorithm and process of rule generalization. In this paper, a fault diagnosis decision table is obtained from discretization of continuous symptom attributes in the data set. Then, the proposed genetic algorithm is used to achieve the minimal reduct from the discretized symptom attributes. In addition, a set of maximal generalized decision rules is obtained from the proposed rule generalization process.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Location Model of Collector in a Multi-Commodity Flow Supply Chain","authors":"Ruohong Zhou, Liu Wei","doi":"10.1109/ICICIC.2009.24","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.24","url":null,"abstract":"In this paper, a collector is established in an existing four-tier supply chain network which is composed of suppliers, manufacturers, distributors and consumer markets. The collector is in charge of the dismantling of discarded products, the extraction of raw materials, the final disposal in accordance with the environmental protection requirements, after that, sending the parts can be recycled back to the manufacturer. At each potential site, we develop a network equilibrium model by variational inequality. The behavior of each participant as well as the effect of their interaction in different level is analyzed, and the equilibrium condition of this new system is obtained. This location model put the maximal profits of enterprises as a target, and a stable market price can be obtained, we decide the optimal site by the profit of collector. Finally, a numerical analysis on a test case illustrates the model formulation.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129501684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fault Diagnosis and Detection Based On Combination with Gaussian Mixture Models and Variable Reconstruction","authors":"Jianhong Sun, Yuan Li, Chenglin Wen","doi":"10.1109/ICICIC.2009.203","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.203","url":null,"abstract":"This paper presents a fault diagnosis approach that is the combination with Gaussian mixture models and variable reconstruction. Usually, the traditional multivariate process monitoring techniques has the fundamental assumption that the operating data should follow a unimodal Gaussian distribution, but it often becomes invalid due to the practice different operating conditions. The Gaussian mixture models method can overcome above problems and make the fault diagnosis to be more accurate than before. And fault diagnosis based on principal component analysis is to use contribution plot to locate the fault sources, but it often results in indistinct or incorrect diagnosis. Thus the variable reconstruction approach is introduced to resolve the problem. As a result, a novel multimode process monitoring approach based on the combination with Gaussian Mixture Model and variable reconstruction is proposed. The combination method is illustrated for a simulated Tennessee-- Eastman process (TE) which is tested for fault diagnosis and detection.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129950901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Real-Time Information Hiding Technique in VLC Domain","authors":"Hao-Xian Wang, Zhuo-Zhi Diao","doi":"10.1109/ICICIC.2009.41","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.41","url":null,"abstract":"Unlike still image, video watermarking technology must meet the real-time requirement. In this paper, we present a novel real-time information hiding technique in VLC domain, watermarking is performed entirely in the compressed domain with partial decompression, thus providing the speed necessary for real time video applications. Simulation results show that the proposed algorithm can perform the real-time watermark embedding process without affecting visual quality of the video sequence and it is also standard-compliant. The proposed algorithm can be applied to any video compression standard such as MPEG-2 and H.263.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128542729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Intelligent Static Traffic Grooming Scheme in IP over DWDM Internet","authors":"Xingwei Wang, Chengcheng Tong, Min Huang","doi":"10.1109/ICICIC.2009.93","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.93","url":null,"abstract":"In this paper, an intelligent static traffic grooming scheme in IP over DWDM optical Internet is proposed. By applying the ideas of the orthogonal design evolution and introducing the operations of the ecological-niche population and the hybridization, it tries to maximize the comprehensive user traffic request delay satisfaction degree and minimize the network cost simultaneously with both the user traffic request delay and bandwidth constraints met.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128281143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yung-Chin Lin, Yung-Chien Lin, Kuo-Lan Su, Wen-Cheng Chang
{"title":"Mixed-Integer Evolutionary Optimization of Artificial Neural Networks","authors":"Yung-Chin Lin, Yung-Chien Lin, Kuo-Lan Su, Wen-Cheng Chang","doi":"10.1109/ICICIC.2009.260","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.260","url":null,"abstract":"A novel application to the optimization of artificial neural networks (ANNs) is presented in this paper. Here, the weight and architecture optimization of ANNs can be formulated as a mixed-integer optimization problem. And then a mixed-integer evolutionary algorithm (Mixed-Integer Hybrid Differential Evolution, MIHDE) is used to optimize the ANN. Finally, the optimized ANN is applied to the prediction of chaotic time series. The satisfactory results are achieved, and demonstrate that the optimized ANN by MIHDE can effectively predict the chaotic time series.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129462123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Least-Squares Algorithm for Maneuvering Targets in HF Radar","authors":"Jun Tang, Chengyu Hou, Yiying Shen","doi":"10.1109/ICICIC.2009.22","DOIUrl":"https://doi.org/10.1109/ICICIC.2009.22","url":null,"abstract":"In this paper, a motion-correction algorithm for maneuvering targets (acceleration or turning) whose spectra of the HF radar echoes are significant spread is addressed. Such spreading which degrades the detection performance and parameters estimation of targets originates from the high-order time terms of the echoes' phase. The least-squares method has been used to estimate these terms to correct the Doppler spectra for restoring the targets' peaks. Simulation and experimental data results show that such technique is helpful to achieve the better targets' spectra and the higher probability of detection.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126821950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}