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2009 International Conference of Soft Computing and Pattern Recognition最新文献

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Decision Support Based on Integration of Fuzzy Clusering and Multiobjective Optimization Problem for Non Player Character in Business Game 基于模糊聚类和多目标优化集成的商业博弈非参与者决策支持问题
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.77
M. Hariadi, I. Buditjahjanto, M. Purnomo
{"title":"Decision Support Based on Integration of Fuzzy Clusering and Multiobjective Optimization Problem for Non Player Character in Business Game","authors":"M. Hariadi, I. Buditjahjanto, M. Purnomo","doi":"10.1109/SoCPaR.2009.77","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.77","url":null,"abstract":"Nowadays, decision support plays important role in decision-making, mistaken in decision-making be able to lose the competition. Decision-making is very complicated especially when the problem is in multiobjective problem. To learn decision making through play a game is an interesting thing. Player plays a game but actually, he or she learns about how to make a decision. In this research, the objective is to make Non-Player Character (NPC) for business game for electrical power production. This NPC is developed with 2 stages, the first stage is multiobjective optimization problem that uses NSGA2 method. This stage results some optimal solutions. The second stage is clustering that uses FCM method and FLVQ method to decrease number of solutions. In this stage, we compare these methods.","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132121578","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
Review of Artificial Immune System in Web Personalization 人工免疫系统在网络个性化中的研究进展
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.140
Hamid Rastegari, S. Shamsuddin
{"title":"Review of Artificial Immune System in Web Personalization","authors":"Hamid Rastegari, S. Shamsuddin","doi":"10.1109/SoCPaR.2009.140","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.140","url":null,"abstract":"This paper is a review on knowledge discovery in the field of web mining for the benefit of research on the personalization of web-based information services. The essence of personalization is the adaptability of information systems to the needs of their users. This issue is becoming increasingly important on the Web, as non-expert users are overcame by the quantity of information available online. This article investigates the application of artificial immune systems (AIS) to knowledge discovery as a web personalization tool. AIS are thought to confer the adaptability and learning required for this task.","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132774223","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
Surface Defect Characterization in Polishing Process Using Contour Dispersion 用轮廓色散表征抛光过程中的表面缺陷
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.142
A. Besari, Ruzaidi Zamri, K. A. A. Rahman, Md Dan Md Palil, A. S. Prabuwono
{"title":"Surface Defect Characterization in Polishing Process Using Contour Dispersion","authors":"A. Besari, Ruzaidi Zamri, K. A. A. Rahman, Md Dan Md Palil, A. S. Prabuwono","doi":"10.1109/SoCPaR.2009.142","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.142","url":null,"abstract":"Automatic surface defect detection with vision systems can bring manufacturers a number of significant benefits, especially when used on-line. This non-contact method may present an alternative to allow the surface defect to be measured rapidly and with an acceptable accuracy. One of the most promising of the non-contact methods in terms of speed and accuracy is the computer vision technique. This paper basically defines a surface defect characterization using contour dispersion. The basic idea of this research is to find an optimal gray-level threshold value for separating objects of interest in an image from the background based on their gray-level distribution using contour dispersion level to find the characteristic of surface defect. Next, the research direction has been suggested to develop an automatic polishing robot system using vision sensor based on surface defect characterization.","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133124922","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: 10
Linear Antenna Array Synthesis with Invasive Weed Optimization Algorithm 基于入侵杂草优化算法的线性天线阵列综合
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.42
S. Pal, Aniruddha Basak, Swagatam Das, A. Abraham
{"title":"Linear Antenna Array Synthesis with Invasive Weed Optimization Algorithm","authors":"S. Pal, Aniruddha Basak, Swagatam Das, A. Abraham","doi":"10.1109/SoCPaR.2009.42","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.42","url":null,"abstract":"Linear antenna array design is one of the most important electromagnetic optimization problems of current interest. This article describes the application of a recently developed metaheuristic algorithm, known as the Invasive Weed Optimization (IWO), to optimize the spacing between the elements of the linear array to produce a radiation pattern with minimum side lobe level and null placement control. The results of the IWO algorithm have been shown to meet or beat the results obtained using other state-of-the-art metaheuristics like the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Memetic Algorithms (MA), and Tabu Search (TS) in a statistically meaningful way","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117329498","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: 47
Automated Grading of Palm Oil Fresh Fruit Bunches (FFB) Using Neuro-fuzzy Technique 应用神经模糊技术对棕榈油鲜果串进行自动分级
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.57
N. Jamil, A. Mohamed, S. Abdullah
{"title":"Automated Grading of Palm Oil Fresh Fruit Bunches (FFB) Using Neuro-fuzzy Technique","authors":"N. Jamil, A. Mohamed, S. Abdullah","doi":"10.1109/SoCPaR.2009.57","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.57","url":null,"abstract":"Automated fruit grading in local fruit industries are gradually receiving attention as the use of technology in upgrading the quality of food products are now acknowledged. In this paper, outer surface colors of palm oil fresh fruit bunches (FFB) are analyzed to automatically grade the fruits into over ripe, ripe and unripe. We compared two methods of color grading: 1) using RGB digital numbers and 2) colors classifications trained using a supervised learning Hebb technique and graded using fuzzy logic. A total of 90 images are used as the training images and 45 images are tested in the grading process. Overall, automated grading using RGB digital numbers produced an average of 49% success rate, while the neuro-fuzzy approach achieved an accuracy level of 73.3%.","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127336924","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: 65
A New Secure Steganographic Method Based on Predictive Coding and Quantization Index Modulation 一种基于预测编码和量化指标调制的安全隐写新方法
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.55
Hamid Izadinia, Fereshteh Sadeghi, M. Rahmati
{"title":"A New Secure Steganographic Method Based on Predictive Coding and Quantization Index Modulation","authors":"Hamid Izadinia, Fereshteh Sadeghi, M. Rahmati","doi":"10.1109/SoCPaR.2009.55","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.55","url":null,"abstract":"Steganography is a branch in the information hiding research area which aims to conceal data transmission between two parties. In this paper a new method based on predictive coding is proposed which employs Quantization Index Modulation (QIM) for quantizing error values and embedding data simultaneously. Furthermore, a correction mechanism is proposed to preserve the histogram of the cover image and make it resistant against histogram-based attacks. To evaluate the performance of the proposed method, several experiments on gray-level images are carried out and compared with two prominent methods called Jsteg and Steganography Based on Predictive Coding (SBPC). The experimental results show that the proposed method achieves an efficient trade-off among imperceptibility, hiding capacity, compression ratio and robustness against malicious attacks.","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132496620","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
Experimental Investigation of PSO Based Web User Session Clustering 基于粒子群算法的Web用户会话聚类实验研究
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.127
H. Lu, Thi Thanh Sang Nguyen
{"title":"Experimental Investigation of PSO Based Web User Session Clustering","authors":"H. Lu, Thi Thanh Sang Nguyen","doi":"10.1109/SoCPaR.2009.127","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.127","url":null,"abstract":"Web user session clustering is very important in web usage mining for web personalization. This paper proposes a Particle Swarm Optimization (PSO) based sequence clustering approach and presents an experimentally investigation of the PSO based sequence clustering methods, which use three original PSO variants and their corresponding variants of a hybrid PSO with real value mutation. The investigation was conducted in 45 test cases using five web user session datasets extracted from a real world web site. The experimental results of these methods are compared with the results obtained from the traditional k-means clustering method. Some interesting observations have been made. In the most of test cases under consideration, the PSO and PSO-RVM methods have better performance than the k-means method. Furthermore, the PSO-RVM methods show better performance than the corresponding PSO methods in the cases in which the similarity measure function is more complex.","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128999684","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: 7
A Modified Differential Evolution Algorithm and Its Application to Engineering Problems 一种改进的差分进化算法及其在工程问题中的应用
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.48
Musrrat Ali, M. Pant, A. Abraham
{"title":"A Modified Differential Evolution Algorithm and Its Application to Engineering Problems","authors":"Musrrat Ali, M. Pant, A. Abraham","doi":"10.1109/SoCPaR.2009.48","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.48","url":null,"abstract":"In the present study a Modified Differential Evolution (MDE) algorithm is proposed. This algorithm is different in three ways from basic DE. For initialization it utilizes opposition-based learning while in basic DE uniform random numbers serve this task. Secondly, in basic DE mutant individual is random while in MDE it is tournament best and finally MDE utilizes only one set of population as against two sets as used in basic DE. The performance of proposed algorithm is investigated and compared with basic differential evolution. The experiments conducted shows that proposed algorithm outperform the basic DE algorithm in all the benchmark problems and real life applications","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126926847","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: 29
A Hybrid Approach for Segmenting and Validating T1-Weighted Normal Brain MR Images by Employing ACM and ANN 基于ACM和ANN的t1加权正常脑MR图像分割与验证混合方法
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.56
M. M. Ahmed, D. Mohamad, M. Khalil
{"title":"A Hybrid Approach for Segmenting and Validating T1-Weighted Normal Brain MR Images by Employing ACM and ANN","authors":"M. M. Ahmed, D. Mohamad, M. Khalil","doi":"10.1109/SoCPaR.2009.56","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.56","url":null,"abstract":"This study focuses on segmentation and validation of brain MR images. Artificial Neural Network (ANN) has been applied to obtain the targeted segments from these images. In preprocessing step for avoiding the chances of misclassification during training of ANN, the unwanted skull tissues were removed by employing active contour modeling (ACM). The removal of these tissues leaves an image containing various regions of interest. For training ANN these distinctive regions of interest were clustered into their respective regions by employing KMeans algorithm. Then a neural net work is trained on this classified data which eventually facilitated in obtaining the desired segments. The boundaries of these segments were detected and the pixels constituting these boundaries were counted. For validating the segments produced by ANN, ground truth segments were taken under consideration. The boundaries of these ground truth segments were also detected and pixels forming the edges of these segments were counted. Finally a comparison was drawn between the pixel counts of ANN produced segments and ground truth segments. On the basis of this comparison, accuracy of ANN is calculated.","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123395401","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: 4
Automatically Early Detection of Skin Cancer: Study Based on Nueral Netwok Classification 基于神经网络分类的皮肤癌自动早期检测研究
2009 International Conference of Soft Computing and Pattern Recognition Pub Date : 2009-12-04 DOI: 10.1109/SoCPaR.2009.80
Ho Tak Lau, Adel Al-Jumaily
{"title":"Automatically Early Detection of Skin Cancer: Study Based on Nueral Netwok Classification","authors":"Ho Tak Lau, Adel Al-Jumaily","doi":"10.1109/SoCPaR.2009.80","DOIUrl":"https://doi.org/10.1109/SoCPaR.2009.80","url":null,"abstract":"In this paper, an automatically skin cancer classification system is developed and the relationship of skin cancer image across different type of neural network are studied with different types of preprocessing.. The collected images are feed into the system, and across different image processing procedure to enhance the image properties. Then the normal skin is removed from the skin affected area and the cancer cell is left in the image. Useful information can be extracted from these images and pass to the classification system for training and testing. Recognition accuracy of the 3-layers back-propagation neural network classifier is 89.9% and auto-associative neural network is 80.8% in the image database that include dermoscopy photo and digital photo","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121568319","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: 97
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