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2008 7th IEEE International Conference on Cybernetic Intelligent Systems最新文献

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Intrusion detection in computer networks using tabu search based fuzzy system 基于禁忌搜索的计算机网络入侵检测模糊系统
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798941
Hamid Mohamadi, J. Habibi, Hamid Saadi
{"title":"Intrusion detection in computer networks using tabu search based fuzzy system","authors":"Hamid Mohamadi, J. Habibi, Hamid Saadi","doi":"10.1109/UKRICIS.2008.4798941","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798941","url":null,"abstract":"The process of scanning the events occurring in a computer system or network and analyzing them for warning of intrusions is known as intrusion detection system (IDS). This paper presents a new intrusion detection system based on tabu search based fuzzy system. Here, we use tabu search algorithm to effectively explore and exploit the large state space associated with intrusion detection as a complicated classification problem. Experiments were performed on KDD-Cup99 data set which has information about intrusive and normal behaviors on computer networks. Results show that the proposed method obtains notable accuracy and lower cost in comparison with several renowned algorithms.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124868734","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
Application of Contrast Enhancement Bilateral Closing Top-hat Otsu Thresholding (CEBICTOT) technique on crack images 对比度增强双侧闭合顶帽大津阈值(CEBICTOT)技术在裂纹图像中的应用
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798963
K. Sim, Y. Y. Kho, C. Tso
{"title":"Application of Contrast Enhancement Bilateral Closing Top-hat Otsu Thresholding (CEBICTOT) technique on crack images","authors":"K. Sim, Y. Y. Kho, C. Tso","doi":"10.1109/UKRICIS.2008.4798963","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798963","url":null,"abstract":"This paper introduces the contrast enhancement bilateral closing top-hat Otsu thresholding (CEBITOT) technique to perform crack detection. This technique is based on the mathematical morphology and image filtering technique to extract the crack like patterns. Mathematical morphology highlights the cracks clearly while bilateral filtering filters out the noise from the image efficiently and preserving the edges. The performance of the proposed estimator is compared with two existing methods: Otsu method, Iyer* and Sinha method over several images. The performance of the CEBITOT is significantly greater than that of the two methods.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128386776","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
Enhancement of weather degraded video sequences using wavelet fusion 利用小波融合增强天气退化视频序列
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798926
J. John, M. Wilscy
{"title":"Enhancement of weather degraded video sequences using wavelet fusion","authors":"J. John, M. Wilscy","doi":"10.1109/UKRICIS.2008.4798926","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798926","url":null,"abstract":"Under bad weather conditions, the contrast and colors of videos are degraded and it is imperative to include mechanisms that overcome weather effects from video sequences in order to make vision systems more reliable. Unfortunately it turns out that effects of weather cannot be overcome by simple image processing techniques. There are only few works and some existing methods in literature for enhancement of weather degraded video sequences. A novel approach is proposed in this paper that is used to enhance degraded video sequences. It enhances visibility of the frames and also maintains the color fidelity. First a background image is estimated for the video sequence. The enhancement method is then separately applied on this background image and on the estimated motion pixels. The enhancement method consists of three phases. The first phase estimates a global correction parameter and the second phase computes an approximate degradation measure. In the final phase a novel wavelet fusion method is used to obtain the enhanced frame. Performance analysis is carried out with the help of a contrast improvement index and sharpness measure. The method has been tested using real time video sequences and is found to give good results.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128779048","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: 35
Adaptive method for state estimation of sound environment system with fuzzy observation 基于模糊观测的声环境系统状态估计自适应方法
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798924
A. Ikuta, H. Masuike
{"title":"Adaptive method for state estimation of sound environment system with fuzzy observation","authors":"A. Ikuta, H. Masuike","doi":"10.1109/UKRICIS.2008.4798924","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798924","url":null,"abstract":"The internal physical mechanism of actual sound environment system is often difficult to recognize analytically from the bottom-up viewpoint, and it contains unknown structural characteristics. Furthermore, the observations in the sound environment often contain fuzziness due to several causes. In this paper, an adaptive method for estimating the specific signal for sound environment system with unknown structure and fuzzy observation is proposed by introducing a fuzzy theory and a system model of the conditional probability type. The effectiveness of the proposed theoretical method is confirmed by applying it to the actual problem of psychological evaluation in the sound environment.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116945869","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
Throttle valve control using an inverse local linear model tree based on a fuzzy neural network 节流阀控制采用一种基于模糊神经网络的逆局部线性模型树
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798943
M. Nentwig, Paolo Mercorelli
{"title":"Throttle valve control using an inverse local linear model tree based on a fuzzy neural network","authors":"M. Nentwig, Paolo Mercorelli","doi":"10.1109/UKRICIS.2008.4798943","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798943","url":null,"abstract":"A robust throttle valve control has always been an attractive problem since throttle by wire systems were established in the mid-nineties. Often in control strategy, a feedforward controller is adopted in which an inverse model is used. Mathematical inversions of models imply a high order of differentiation of the state variables and consequently noise effects. In general, neural networks are a very effective and popular tool mostly used for modeling. The inversion of a neural network produces real possibilities to involve the networks in the control problem schemes. This paper presents a control strategy based upon an inversion of a feed forward trained local linear model tree. The local linear model tree is realized through a fuzzy neural network. Simulated results from real data measurements are presented in which two control loops are explicitly compared.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"570 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123402420","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: 24
Automatic document summarizer 自动文档摘要器
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798921
A. Harris, M. Oussalah
{"title":"Automatic document summarizer","authors":"A. Harris, M. Oussalah","doi":"10.1109/UKRICIS.2008.4798921","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798921","url":null,"abstract":"The need for automatic summarization becomes crucial with the exponential increase of data available on www and digital libraries, which makes the search for relevant pieces of information a difficult task. Therefore, needless to say, an automatic summarizer would save a lot to user and operators. However, the development of such systems is also shown to be very challenging due to inherent difficulty in dealing with natural language processing, the subjectivity of the evaluation process and the limitation of the mathematical models. This paper puts forward a proposal for an automatic summarizer system, which explicitly makes use of the semantic relatedness of document sentences using WordNet taxonomy.On the other hand, several other attributes are taken into account in the design stage, which include similarity to user's query, if any, which allows us to integrate some personalization to the outcome, similarity to the document title, location and frequency of co-occurrence. The developed summarizer also enables some search abilities, where three distinct search platforms were integrated (Lucene, GTP and Xapian). The obtained results were compared to MEAD summarizer.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114553445","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
Design of a teaching assistant resources sharing mechanism based on web service 基于web服务的助教资源共享机制设计
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798975
Zheng Chen, Lili Su, Yushun Li, Xiaochun Cheng, Ronghuai Huang
{"title":"Design of a teaching assistant resources sharing mechanism based on web service","authors":"Zheng Chen, Lili Su, Yushun Li, Xiaochun Cheng, Ronghuai Huang","doi":"10.1109/UKRICIS.2008.4798975","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798975","url":null,"abstract":"DubinCore, LOM resource description norm and Sharable Content Object Reference Model (SCORM) standard based on the idea of metadata have solved the sharing problem of static Web resources, by bringing forward description norms of Web resources sharing. However, the modular sharing research of dynamic teaching assistant resources, such as questions and answers database and case database, is almost ignored. And there is module with high coupling degree and resources with low sharing level in the traditional e-learning system. Therefore, in this paper, we adopt the idea of a modular system design based on Web service to design a new resources sharing mechanism, to achieve reusing and sharing of components among different systems, and solve the teaching assistant resources isolated problem caused by the differences from e-learning systems, and finally enhance the sharing of teaching assistant resources.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129597772","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
On Simple Adaptive Momentum 简单自适应动量
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798940
R. Mitchell
{"title":"On Simple Adaptive Momentum","authors":"R. Mitchell","doi":"10.1109/UKRICIS.2008.4798940","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798940","url":null,"abstract":"Simple Adaptive Momentum was introduced as a simple means of speeding the training of multi-layer perceptrons (MLPs) by changing the momentum term depending on the angle between the current and previous changes in the weights of the MLP. In the original paper, the weight changes of the whole network are used in determining this angle. This paper considers adapting the momentum term using certain subsets of these weights. This idea was inspired by the author's object oriented approach to programming MLPs, successfully used in teaching students: this approach is also described. It is concluded that the angle is best determined using the weight changes in each layer separately.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130286103","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: 13
A modified Mixture of FMLP Experts for face recognition 一种用于人脸识别的改进混合FMLP专家
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798936
Nina Taheri Makhsoos, Alireza Hajiany, R. Ebrahimpour, Ghodrat Sepidnam
{"title":"A modified Mixture of FMLP Experts for face recognition","authors":"Nina Taheri Makhsoos, Alireza Hajiany, R. Ebrahimpour, Ghodrat Sepidnam","doi":"10.1109/UKRICIS.2008.4798936","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798936","url":null,"abstract":"In this paper we present a new face recognition model with principal component analysis in the feature extraction phase, and a Mixture of Fuzzy MLP Experts with Momentum term, in the recognition phase. We compared three different structures of neural network in which the average performance of Mixture of MLP Experts without Fuzzy MLP turned out to be 96% on a test set of 200 ORL face images. Our proposed model, using fuzzy MLPs as its expert networks, achieved a correct recognition rate of 98.9%. In fuzzy MLP, the ambiguity of each training sample is considered at the time of updating weights. Comparison with other algorithms demonstrate that our model performs better in terms of higher recognition rate, with smaller number of epochs in human face recognition.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114271562","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
Intelligent system for material quality control using impact-echo testing 采用冲击回波测试的智能材料质量控制系统
2008 7th IEEE International Conference on Cybernetic Intelligent Systems Pub Date : 2008-09-01 DOI: 10.1109/UKRICIS.2008.4798954
A. Salazar, A. Serrano, L. Vergara, R. Miralles
{"title":"Intelligent system for material quality control using impact-echo testing","authors":"A. Salazar, A. Serrano, L. Vergara, R. Miralles","doi":"10.1109/UKRICIS.2008.4798954","DOIUrl":"https://doi.org/10.1109/UKRICIS.2008.4798954","url":null,"abstract":"This paper introduces an intelligent system to discern the quality of materials inspected by the impact-echo technique. The system includes a hardware setup to inspect parallelepiped-shape materials and a procedure to classify the material depending on its quality condition. Four levels of classification with different grades of knowledge about the material defects are approached: material condition, kind of defect, defect orientation, and defect dimension. The number of classes (material qualities) in the lowest classification level is 12. The procedure is applied on signals coming from 3D finite element simulations and lab experiments with aluminium specimens. The classification procedure is performed using frequency features and the classification algorithms: LDA, MLP, and an algorithm based on mixtures of independent component analyzers. We show the best performance to model the impact-echo data is obtained by the ICA mixture model.","PeriodicalId":311925,"journal":{"name":"2008 7th IEEE International Conference on Cybernetic Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130750057","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
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