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2009 IEEE International Conference on Intelligent Computing and Intelligent Systems最新文献

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Adaptive speed controller design based on backstepping for DC motor system with parameter uncertainties 参数不确定直流电机系统基于反推的自适应调速控制器设计
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5358242
Chen Lanping, Ma Zheng-hua, Duan Soulin
{"title":"Adaptive speed controller design based on backstepping for DC motor system with parameter uncertainties","authors":"Chen Lanping, Ma Zheng-hua, Duan Soulin","doi":"10.1109/ICICISYS.2009.5358242","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358242","url":null,"abstract":"A nonlinear adaptive speed control scheme based on backstepping control technique is proposed for DC motor system. First state reconstruction techniques transform the DC motor model into a cascaded structure adapt to the normal backstepping method, then nonlinear adaptive backstepping controller designed can compensate the nonlinearities which is robust to the parameter uncertainties and load torque disturbance. Simulation results show that the proposed control scheme updates the system parameters and provide an efficient control design both for speed tracking and regulation successfully under parameter uncertainties and load torque disturbance.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121466877","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}
引用次数: 5
Study on structural optimization of Biodegradable Polymer Controlled Drug Release Microstructure based on CA 基于CA的可生物降解聚合物控释微结构结构优化研究
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5358372
Yue Rui-xia, Cao Jun-min
{"title":"Study on structural optimization of Biodegradable Polymer Controlled Drug Release Microstructure based on CA","authors":"Yue Rui-xia, Cao Jun-min","doi":"10.1109/ICICISYS.2009.5358372","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358372","url":null,"abstract":"A biodegradable controlled drug release microstructure with an array of micro chambers is a new kind of controlled drug delivery system which is made by biodegradable polymer. For a certain desired drug release profile, it is necessary to optimize the structure of the polymer device. In this study, a new mathematical model for a biodegradable controlled drug delivery system is presented by using Cellular Automata (CA). Furthermore, the simulations of the biodegradable controlled-release system with an array of micro chambers with different structures are carried out. By a structural optimization (optimal non-uniform distribution and dimension), a desired drug release profile is achieved. In conclusion, the study introduced here is important for the structural optimization design of the biodegradable controlled-release system with large array of micro chambers.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128133214","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}
引用次数: 1
Robust H∞ filtering for uncertain discrete-time switched singular systems 不确定离散切换奇异系统的鲁棒H∞滤波
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5358388
Huaping Zhang, Hongda Fan, Shuping Ma
{"title":"Robust H∞ filtering for uncertain discrete-time switched singular systems","authors":"Huaping Zhang, Hongda Fan, Shuping Ma","doi":"10.1109/ICICISYS.2009.5358388","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358388","url":null,"abstract":"The robust H∞ filtering problem for discrete-time switched singular systems with parameter uncertainties is discussed. Based on the restricted system equivalent (r.s.e.) transformation and by introducing new state vectors, the filtering error system is transformed into a switched standard linear system, then a switched filter is designed in terms of linear matrix inequality, which guarantees that the filtering error system is regular, causal, stable and satisfies H∞ performance for all admissible uncertainties. The H∞ filter can be full or reduced order. A numerical example is given to illustrate the effectiveness of the proposed method.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121946155","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}
引用次数: 0
Interactive facial sketch expression generation using local constraints 基于局部约束的交互式面部素描表情生成
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5358275
Yang Yang, Nanning Zheng, Yuehu Liu, Lei Yang, Ping Wei, Y. Nishio
{"title":"Interactive facial sketch expression generation using local constraints","authors":"Yang Yang, Nanning Zheng, Yuehu Liu, Lei Yang, Ping Wei, Y. Nishio","doi":"10.1109/ICICISYS.2009.5358275","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358275","url":null,"abstract":"In this paper, an interactive sketch expression generation method is presented. By dragging one or a few control points on a new input sketch face, the system can draw corresponding natural expressions automatically. However, for an unseen target, with just a few knowledge of its neutral face, users' arbitrary input will often lead to unnatural even unreasonable results. In the proposed method, two kinds of priors are learnt from a set of different facial examples first-facial shape prior and correlated motion prior, which guarantee the global facial structures and the specific correlated motion regulations of the face respectively. Then, we present an integrated statistic face model to combine these two priors with user-input local constraints. The experimental results showed that our method could generate natural expression results to satisfy the user's requirements. Our interactive system is also easy and simple to operate even for the first-time user.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121773154","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}
引用次数: 2
A hybrid feature selection method based on fuzzy feature selection and consistency measures 一种基于模糊特征选择和一致性度量的混合特征选择方法
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5358395
Laleh Jalali, M. Nasiri, Behrooz Minaei
{"title":"A hybrid feature selection method based on fuzzy feature selection and consistency measures","authors":"Laleh Jalali, M. Nasiri, Behrooz Minaei","doi":"10.1109/ICICISYS.2009.5358395","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358395","url":null,"abstract":"In This paper, we present a new method for dealing with feature subset selection based on fuzzy methods and consistency measures for handling classification problems. In fuzzy classifier systems the classification is obtained by a number of fuzzy If-Then rules including linguistic terms such as Low and High that fuzzify each feature. First, we project the original data set into a fuzzy space, then we select the feature subset based on the consistency measures. The proposed method which is an integration of fuzzy feature subset selection and consistency measures can select relevant features to get higher average classification accuracy rates than each of the above mentioned methods. The applicability of the proposed method has been demonstrated by reducing the number of features used for the classification of nine real-world data sets.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131996665","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}
引用次数: 5
Video authoring based on the relation between scenes 基于场景之间关系的视频创作
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5357655
I. Kobayashi, N. Izumi, K. Hasida, W. Tamura
{"title":"Video authoring based on the relation between scenes","authors":"I. Kobayashi, N. Izumi, K. Hasida, W. Tamura","doi":"10.1109/ICICISYS.2009.5357655","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5357655","url":null,"abstract":"Recently as video cameras, digital cameras and low-priced video authoring tools have been getting commonly used, the opportunities of authoring personal videos have increased. However, the quality of a created movie requires not only a capability to draw up a scenario but also the skill to operate the technical tools. In order to make amateur users to concentrate scenario when editing movies, we propose a scenario-centered video authoring method in which we extract the scenario structure from a movie, construct its network model, and then edit the movie based on the network model.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132367223","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}
引用次数: 0
An improved GMM-based method for supervised semantic image annotation 一种改进的基于gmm的监督语义图像标注方法
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5358125
Fangfang Yang, Fei Shi, Jiajun Wang
{"title":"An improved GMM-based method for supervised semantic image annotation","authors":"Fangfang Yang, Fei Shi, Jiajun Wang","doi":"10.1109/ICICISYS.2009.5358125","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358125","url":null,"abstract":"Automatic image annotation is the key to semantic-based image retrieval. In this paper we formulate image annotation as a supervised multi-class labeling problem. The relationship between low-level visual features and semantic concepts is found by supervised Bayesian learning. Color and texture features form two separate vectors, for which two independent Gaussian mixture models (GMM) are estimated from the training set as class densities using the EM algorithm combined with a denoising technique. Two posterior probabilities are calculated, and both their ranks among different concepts are used to determine the labels for the image to be annotated. The emphasis on different low-level features is balanced. Better annotation performance is obtained compared to method that treats color and texture as one feature vector.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131483715","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}
引用次数: 8
Model of logical or operation of variable precision lower approximation operator and grade upper approximation operator 变精度下逼近算子和等级上逼近算子的逻辑或操作模型
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5357752
Xianyong Zhang, Zhiwen Mo, Fang Xiong
{"title":"Model of logical or operation of variable precision lower approximation operator and grade upper approximation operator","authors":"Xianyong Zhang, Zhiwen Mo, Fang Xiong","doi":"10.1109/ICICISYS.2009.5357752","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5357752","url":null,"abstract":"Precision and grade are two important quantitative indexes. The purpose of this paper is to combine precision and grade, and explore new extended rough set model. Based on logical OR operation of precision and grade, this paper proposes model of logical OR operation of variable precision lower approximation operator and grade upper approximation operator. In the new model, fundamental structure and properties are obtained by transformation formulas between variable precision approximations and graded approximations, furthermore regular algorithm and structural algorithm are proposed and analyzed. Finally a practical example is given to illustrate the model and the algorithms. The new model has extended variable precision rough set model, graded rough set model and classical rough set model, and so these models have obtained similar properties of approximation operators.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131600186","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}
引用次数: 12
Stability of multirate sampled-data control systems based on model estimation 基于模型估计的多速率采样数据控制系统的稳定性
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5358343
Shu-qing Peng, Xinling Shi, Junhua Zhang, Ai-min Miao, En-yong Wang
{"title":"Stability of multirate sampled-data control systems based on model estimation","authors":"Shu-qing Peng, Xinling Shi, Junhua Zhang, Ai-min Miao, En-yong Wang","doi":"10.1109/ICICISYS.2009.5358343","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358343","url":null,"abstract":"This paper deals with the problem of the stability of multirate sampled-data state feedback control systems based on model estimation. In order to enlarge sampling periods while keep the system stable, a plant model was proposed, which had a similar structure to the actual plant. The state feedback control signal was generated based on the model state that approximated the plant dynamic state. Utilizing probability asymptotic stability theory, a new stability criterion was proposed. The proposed criterion gave a tolerance bound for long sampling periods. Since the occurrence frequency of sampling periods was taken into consideration, the proposed criterion gave a more general result than the existing ones. Numerical example and simulation results indicated that the method of model estimation was effective and the new stability criterion was less conservative.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131755393","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}
引用次数: 0
Adaptive backstepping and sliding mode control of fin stabilizer based on RBF neural network 基于RBF神经网络的减摇鳍自适应反步滑模控制
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI: 10.1109/ICICISYS.2009.5358062
Yuantao Zhang, Weiren Shi, L. Yin, Mingbai Qiu, Lingfeng Zhao
{"title":"Adaptive backstepping and sliding mode control of fin stabilizer based on RBF neural network","authors":"Yuantao Zhang, Weiren Shi, L. Yin, Mingbai Qiu, Lingfeng Zhao","doi":"10.1109/ICICISYS.2009.5358062","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358062","url":null,"abstract":"Considering the influence of uncertainty as unknown nonlinearity, parameters perturbation and random waves disturbance to the fin stabilizer system during ship sailing in heavy sea, the random wave model is built and a robust controller based on adaptive backstepping, sliding mode and RBF neural network is proposed. Adaptive backstepping and sliding mode control is the main controller and RBF neural network is used to compute the upper bound value of uncertainty which is composed of unknown nonlinearity, parameters perturbation and random waves disturbance, then the system stability is analyzed by using the Lyapunov theory. The simulation results show that the control strategy is effective to decrease roll motion of fin stabilizer system in different sea conditions and has strong robust stability to overcome the uncertainty.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131855885","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}
引用次数: 5
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