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Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)最新文献

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Modeling of Switched Reluctance Motor Based on GA Optimized T-S Type Fuzzy Logic 基于GA优化T-S型模糊逻辑的开关磁阻电机建模
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.409
J. Xiu, C. Xia
{"title":"Modeling of Switched Reluctance Motor Based on GA Optimized T-S Type Fuzzy Logic","authors":"J. Xiu, C. Xia","doi":"10.1109/FSKD.2007.409","DOIUrl":"https://doi.org/10.1109/FSKD.2007.409","url":null,"abstract":"Flux linkage of switch reluctance motor (SRM) is in nonlinear function of both rotor position and phase current. Establishing this nonlinear mapping is the basis of computing the mathematical equations of SRM accurately. In this paper, the Takagi-Sugeno (T-S) type fuzzy logic is employed to develop the nonlinear model of SRM. By taking advantage of the benefit of T-S type fuzzy logic inference, the T-S type fuzzy logic based model of SRM has a simple structure, less training epoch, fast computational speed and characteristics of robustness. In order to get a high precision, the parameters of T-S type fuzzy logic based model of SRM should be optimized. For there is no derivative information available, the conventional optimal method, such as steepest gradient decent optimization method, is hard to be used to optimize the parameters of the T-S type fuzzy logic. In this paper, genetic algorithm (GA) is used to optimize the parameters of the proposed model. GA is an optimization technique that performs a parallel, stochastic, but directed search to evolve the most fit population and it do not relay on computing local derivatives to guide the search process. Compared with the training data and generalization test data, the output data of the developed model are in good agreement with those data. The simulated current wave is also in good agreement with the measured current wave. This proves that the model developed in this paper has high accuracy, strong generalization ability, fast computation speed and characteristics of robustness.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129795604","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
A Segmentation Method Based on Gray-Scale Morphological Filter and Watershed Algorithm for Touching Objects Image 基于灰度形态滤波和分水岭算法的触摸物体图像分割方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.118
Ning Lu, Xizheng Ke
{"title":"A Segmentation Method Based on Gray-Scale Morphological Filter and Watershed Algorithm for Touching Objects Image","authors":"Ning Lu, Xizheng Ke","doi":"10.1109/FSKD.2007.118","DOIUrl":"https://doi.org/10.1109/FSKD.2007.118","url":null,"abstract":"In the process of intellectualized visional testing products, valid image information is often collected to analysis for objective parameters such as quantity, size, and shape and so on. Because there is phenomenon of touch, the objects needs to be segmented accurately. A watershed segmentation algorithm based on distance image using grayscale morphological pretreating is presented in this essay. First, distance transform is applied to the binary image. And then opening operations of gray-scale morphology are applied to remove small light details in distance image before applying watershed algorithm. Thus oversegmentation was controlled and touching objects were segmented precisely. The result of the experiments shows that touching objects can be segmented with the accuracy near 100% with this method, that the shape of the object is not to be changed, which can meet the demand of analysis of object characteristics in intellectualized visional testing process, and that it has a practical value.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129907796","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: 9
Automated Extraction of Conceptual Knowledge from a Chinese Machine-Readable Dictionary 中文机读词典中概念知识的自动提取
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.199
Y. Hu, R. Lu, Yuquan Chen, Jinglei Zhao
{"title":"Automated Extraction of Conceptual Knowledge from a Chinese Machine-Readable Dictionary","authors":"Y. Hu, R. Lu, Yuquan Chen, Jinglei Zhao","doi":"10.1109/FSKD.2007.199","DOIUrl":"https://doi.org/10.1109/FSKD.2007.199","url":null,"abstract":"In this paper, we exploit a Chinese machine-readable dictionary to extract the conceptual knowledge, i.e. the <attribute, value> pairs involving in hypernym, (artificiality) material, (artificiality) function and (medicine) usage from the corresponding definitions of nominal entries. Our method focuses on (1) constructing the extraction patterns and (2) the statistical decision for applying these patterns. Therefore our work is designed to be a new three-step procedure. Firstly, annotate the definitions of a number of nominal entries that are used as training samples of these four attributes and contextual linguistic features; secondly, design different patterns for extracting such conceptual knowledge, and learn the applicability of the patterns by a Maximum Entropy (ME) classifier to decide whether a pattern can be used in current context or not; at last, apply these patterns to the remaining nominal entries of the dictionary, and we achieve relatively satisfying results.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130403623","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
A New BP Neural Network Model Based on the Random Fuzzy Theory 基于随机模糊理论的BP神经网络模型
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.71
Yujuan Sun, Yilei Wang, Tao Li, Peng Liu
{"title":"A New BP Neural Network Model Based on the Random Fuzzy Theory","authors":"Yujuan Sun, Yilei Wang, Tao Li, Peng Liu","doi":"10.1109/FSKD.2007.71","DOIUrl":"https://doi.org/10.1109/FSKD.2007.71","url":null,"abstract":"The field of neural networks can be thought of as being related to artificial intelligence, machine learning, parallel processing, statistics, and other fields. The attraction of neural networks is that they are best suited to solving the problems that are the most difficult to solve by traditional computational methods. In this paper, the author first stated the importance and the application of the neural network and then puts the emphasis on presenting the BP neural network that is widely used in many fields. In the second part, the author recommends the random fuzzy theory and gives some useful definition and theorem that will be used in the next part. In the part of this paper, the author put forward a new BP model based on the random fuzzy theory and gives the advantages of it.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"537 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121419153","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
Algebraic Operations on Flexible Constraints Based on Knowledge Comparison 基于知识比较的柔性约束代数运算
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.137
Z. Ma, Jiemin Liu, Li Yan
{"title":"Algebraic Operations on Flexible Constraints Based on Knowledge Comparison","authors":"Z. Ma, Jiemin Liu, Li Yan","doi":"10.1109/FSKD.2007.137","DOIUrl":"https://doi.org/10.1109/FSKD.2007.137","url":null,"abstract":"Knowledge used for helping in choice processes in artificial intelligence (AI) essentially consists of sets of constraints. Flexible constraints are extensively studied and have become attractive in AI. In this paper, we focus on algebraic operations on flexible constraints, which are very useful in knowledge management (e.g., knowledge integration). For this purpose, we identify the semantic relationship between flexible constraints. On this basis, we define the operations on flexible constraints. In particular, the notion of semantic inclusion degree is introduced to flexibly assess the semantic relationship between flexible constraints.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114099023","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
Chinese Automatic Summarization Based on Thematic Sentence Discovery 基于主句发现的汉语自动摘要
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.214
M. Wang, Chungui Li, Xiaorong Wang
{"title":"Chinese Automatic Summarization Based on Thematic Sentence Discovery","authors":"M. Wang, Chungui Li, Xiaorong Wang","doi":"10.1109/FSKD.2007.214","DOIUrl":"https://doi.org/10.1109/FSKD.2007.214","url":null,"abstract":"In this paper, we propose a practical approach for extracting the most relevant sentences from the original document to form a summary. The idea of our approach is to obtain summary based on similarity of thematic sentences, which use terms as features rather than words, and employs term length term frequency (TLTF) to compute weight of terms to obtain features. Furthermore, it uses an improved k-means method to cluster sentences, and compute similarity of thematic sentences according to clustering results. Experimental results indicate a clear superiority of the proposed method over the traditional method under the proposed evaluation scheme.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114205442","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: 3
Scalability of Hybrid Fuzzy C-Means Algorithm Based on Quantum-Behaved PSO 基于量子粒子群的混合模糊c均值算法的可扩展性
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.507
Hao Wang, Shiqin Yang, Wenbo Xu, Jun Sun
{"title":"Scalability of Hybrid Fuzzy C-Means Algorithm Based on Quantum-Behaved PSO","authors":"Hao Wang, Shiqin Yang, Wenbo Xu, Jun Sun","doi":"10.1109/FSKD.2007.507","DOIUrl":"https://doi.org/10.1109/FSKD.2007.507","url":null,"abstract":"A new hybrid fuzzy clustering algorithm that incorporates the fuzzy c-means (FCM) into the quantum-behaved particle swarm optimization (QPSO) algorithm is proposed in this paper (QPSO+FCM). The QPSO has less parameters and higher convergent capability of the global optimizing than particle swarm optimization algorithm (PSO). So the iteration algorithm is replaced by the QPSO based on the gradient descent of FCM, which makes the algorithm have a strong global searching capacity and avoids the local minimum problems of FCM and in a large degree avoids depending on the initialization values. This paper also investigates the ability of FCM algorithm, PSO+FCM algorithm and GA+FCM algorithm with Iris testing data and Wine testing data. The simulation result proves that compared with other algorithms, the new algorithm not only has the favorable convergence but also has been obviously improved the clustering effect.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116333788","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: 17
Research and Applications of Fuzzy Immune PID Control in the Load-Control of Tube Mill 模糊免疫PID控制在管材轧机负荷控制中的研究与应用
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.468
G. Yuan, Ji-zhen Liu, W. Tan, Xiangjie Liu
{"title":"Research and Applications of Fuzzy Immune PID Control in the Load-Control of Tube Mill","authors":"G. Yuan, Ji-zhen Liu, W. Tan, Xiangjie Liu","doi":"10.1109/FSKD.2007.468","DOIUrl":"https://doi.org/10.1109/FSKD.2007.468","url":null,"abstract":"Aiming at the tube mill burthen controlled object with the characteristics of large delay, large inertia, nonlinear and time-variant, we design a tube mill burthen control system basing at fuzzy immune PID control. The system combines the cascade control with the fuzzy immune PID control, and adopts P control in the inner loop and fuzzy immune PID control in the outer loop , taking fully advantage of the cascade control, fuzzy control, immune feedback control and PID control, which makes the system have not only better track ability but also stronger robust and anti-disturbance .In order to show the superior of the control strategy, simultaneously the paper carry out cascade PID control Simulation, the result manifests that the control effect has better regulation- quality than cascade PID control, what's more, the control algorithm is simple and practical.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"317 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116365640","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: 3
High Quality Voice Conversion through Phoneme-Based Linear Mapping Functions with STRAIGHT for Mandarin 通过基于音素的线性映射函数与普通话的STRAIGHT实现高质量的语音转换
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.347
Kun Liu, Jianping Zhang, Yonghong Yan
{"title":"High Quality Voice Conversion through Phoneme-Based Linear Mapping Functions with STRAIGHT for Mandarin","authors":"Kun Liu, Jianping Zhang, Yonghong Yan","doi":"10.1109/FSKD.2007.347","DOIUrl":"https://doi.org/10.1109/FSKD.2007.347","url":null,"abstract":"A novel voice conversion system using phoneme-based linear mapping functions on main vowel phonemes is proposed in this paper. Our voice conversion algorithm has the following three improvements. First, instead of using all the vocal tract resonance (VTR) vectors in the portion of a phoneme, we use the VTR vector at the steady-state of each phoneme to train phoneme-based GMM. Second, different linear mapping functions have been trained to describe the mapping relationships for corresponding phonemes. Third, in the transformation procedure, the transformed formant frequencies at the main vowel phonemes are obtained using the corresponding GMM. Besides, prosody parameters are also transformed. Finally the converted speech is re-synthesized with the transformed parameters by high quality speech manipulation framework STRAIGHT (Speech Transformation and Representation based on Adaptive Interpolation of weiGHTed spectrogram). Perceptual results for F-M and M-F conversion show that our MOS score of the converted voice is improved from 3.8 to 4.1 and ABX score from 3.3 to 3.8 compared with IBM's system. Comparisons with other systems are also given in this paper.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"56 S7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113961751","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: 70
Modeling User_s Cognitive Structure in Contextual Information Retrieval 情境信息检索中用户认知结构建模
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.410
Xuan Tian, Xiaoyong Du, H. Hu, Haihua Li
{"title":"Modeling User_s Cognitive Structure in Contextual Information Retrieval","authors":"Xuan Tian, Xiaoyong Du, H. Hu, Haihua Li","doi":"10.1109/FSKD.2007.410","DOIUrl":"https://doi.org/10.1109/FSKD.2007.410","url":null,"abstract":"In contextual information retrieval, the retrieval of information depends on the time and place of submitting query, history of interaction, task in hand, and many other factors that are not given explicitly but implicitly lie in the interaction and surroundings of searching, namely the context. User's cognition is one of important contextual factors for understanding his or her personal needs. We propose a model called DOSAM to get user's individual cognitive structure on domain knowledge. DOSAM is developed from the spreading-activation model of psychology and is established on the domain ontology. The cost analysis of algorithm shows that it is feasible to get cognitive structure by DOSAM. Personalized search experimental results on digital library indicate that DOSAM can help improve the search effectiveness and user's satisfaction.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"157 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114029790","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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