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2008 Seventh Mexican International Conference on Artificial Intelligence最新文献

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A Tool for Decision Making in Manufacturing Process Flexible 柔性制造过程中的决策工具
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.29
O. B. Senties, A. Lasserre, F. Flores, R.T. Osorio, J.P.N. de la Parra
{"title":"A Tool for Decision Making in Manufacturing Process Flexible","authors":"O. B. Senties, A. Lasserre, F. Flores, R.T. Osorio, J.P.N. de la Parra","doi":"10.1109/MICAI.2008.29","DOIUrl":"https://doi.org/10.1109/MICAI.2008.29","url":null,"abstract":"Scheduling of semiconductor wafer fabrication system is identified as a complex problem, involving multiple and conflicting objectives (makespan and minimizing waiting time for instance) to satisfy. In this study, we propose an effective approach based an artificial neural network technique embedded in a multi-objective optimization loop for multi-decision scheduling problems in a semiconductor wafer fabrication environment.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123561477","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
Incremental Learning Based Color Iris Recognition 基于增量学习的彩色虹膜识别
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.22
Caitang Sun, F. Melgani, F. D. Natale, Chunguang Zhou, Libiao Zhang, Xiaohua Liu
{"title":"Incremental Learning Based Color Iris Recognition","authors":"Caitang Sun, F. Melgani, F. D. Natale, Chunguang Zhou, Libiao Zhang, Xiaohua Liu","doi":"10.1109/MICAI.2008.22","DOIUrl":"https://doi.org/10.1109/MICAI.2008.22","url":null,"abstract":"In this paper, an incremental learning based color iris recognition method is proposed. The inner and outer boundaries of the iris are localized employing Canny edge detection method and Hough transform algorithm in the red channel and the blue channel respectively. This method exploits some fusion strategies to combine the matching scores between the test image and the templates of each class. The strategies used in this paper are min, max, sum, product and weighted sum. The experiments were carried out on UBIRIS v1.0. The experiments show that, in some scenarios that acquisition conditions change leading to possible decrease of performance, because of its characteristic of learning in practice, the incremental learning method can handle the problem effectively.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124697031","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
Business Process Mining by Means of Statistical Languages Model 基于统计语言模型的业务流程挖掘
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.49
Rosso Pelayo, Raúl A. Trejo
{"title":"Business Process Mining by Means of Statistical Languages Model","authors":"Rosso Pelayo, Raúl A. Trejo","doi":"10.1109/MICAI.2008.49","DOIUrl":"https://doi.org/10.1109/MICAI.2008.49","url":null,"abstract":"The goal of this research is to provide an alternative for business processes evaluation and tracking, based on the analysis of non-structured information generated by such processes within the organization areas. In this article we introduce a method to determine the occurrence probability of a business process within the enterprisepsilas text documents. The proposed method introduces the use of Statistical language model (SLM), as a new technique in business processes mining area. In order to obtain this objective the following is considered: the probability that a sub process or a process part is in the text paragraph; the probability that this text belongs to a business process; the language model of the processes set; and the set of realized activities which is reconstructed according to the processes that gave origin to the analyzed documents.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121095702","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
Adaptation of Surface Roughness Models Based on AI in Changing Environments 基于人工智能的表面粗糙度模型在变化环境中的自适应
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.34
J. V. Abellán, F. Romero, C. Vila, R. Morales-Menedez, H. Siller
{"title":"Adaptation of Surface Roughness Models Based on AI in Changing Environments","authors":"J. V. Abellán, F. Romero, C. Vila, R. Morales-Menedez, H. Siller","doi":"10.1109/MICAI.2008.34","DOIUrl":"https://doi.org/10.1109/MICAI.2008.34","url":null,"abstract":"Machining empirical models for surface roughness based on statistical or artificial intelligence (AI) approaches have been intensively studied during last decades. However, there is no industrial methodology to be applied in industry due to the time consuming and costly experimental procedures required. Furthermore, continuous changes in the cutting process such as cutting-tool replacements or changes in material work pieces make them unfeasible. This paper presents two methodologies to develop empirical models based on few experimental runs based on design of experiments, Taguchi's array, and AI techniques to learn the model from experimental data. The first methodology models the system from the scratch. The second methodology adapts a previous AI model with few experimental runs, defining two possible methods for adaption according to model change. A case study is presented, where a face milling operation with two cutting-tool changes is analysed. The results show a steady prediction error less than 20% along process changes.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121122316","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
A Comparison of the Bandelet, Wavelet and Contourlet Transforms for Image Denoising 小波、小波和轮廓波图像去噪的比较
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.63
O. Villegas, H. de Jesús Ochoa Domínguez, V. Sánchez
{"title":"A Comparison of the Bandelet, Wavelet and Contourlet Transforms for Image Denoising","authors":"O. Villegas, H. de Jesús Ochoa Domínguez, V. Sánchez","doi":"10.1109/MICAI.2008.63","DOIUrl":"https://doi.org/10.1109/MICAI.2008.63","url":null,"abstract":"The bandelet transform take advantage of the geometrical regularity of the structure of an image and is appropriate for the analysis of edges and textures of the images. Denoising is one of the most interesting and widely investigated topics in image processing area. The main problem in denosing is the tradeoff between the noise suppression and oversmoothing of image details. In order to solve that problem, in this paper we exploit the geometrical advantages offered by the bandelet transform to solve the problem of image denoising. We present the results obtained with the bandelet transform for denoising process with additive white Gaussian noise and salt and pepper noise. A comparison is made with those results obtained with wavelets and contourlets. We show that bandelets can outperform the wavelets and contourlets in terms of subjective and objective measures.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115060124","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: 14
Using Complex Neural Networks on Noise Cancelling 复杂神经网络在噪声消除中的应用
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.67
Donato Hernández, S. Ledesma, Rene Martı́nez, Gabriel Aviña, G. Canedo
{"title":"Using Complex Neural Networks on Noise Cancelling","authors":"Donato Hernández, S. Ledesma, Rene Martı́nez, Gabriel Aviña, G. Canedo","doi":"10.1109/MICAI.2008.67","DOIUrl":"https://doi.org/10.1109/MICAI.2008.67","url":null,"abstract":"We present a method to reduce noise on signals applying complex auto-associative neural networks. Experimental results using the sine, triangular and sawtooth signals are performed to validate our results. This method is based on the use of complex neural networks learning and is capable of eliminating or reducing noise on learned signals. First, a training set consisting of signal values without noise at different phases is used for learning. Second, The signal is processed first using the fast Fourier transform (FFT) to obtain the frequency components. Third, three different complex neural networks are trained using thetransformed clean signal until a minimum error criterion is satisfied. Finally, noisy transformed signals are applied to the complex neural network for simulation purposes. The neural networks' output signal is inverse transformed and compared with the clean signal for each case to verify the difference between them.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129458863","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
Learning of Market Prices Based on Temporal Differences for a TAC-SCM Agent 基于时间差异的TAC-SCM代理市场价格学习
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.64
C. Flores, L. Garrido
{"title":"Learning of Market Prices Based on Temporal Differences for a TAC-SCM Agent","authors":"C. Flores, L. Garrido","doi":"10.1109/MICAI.2008.64","DOIUrl":"https://doi.org/10.1109/MICAI.2008.64","url":null,"abstract":"In this work we present a learning method based in temporal differences for learning the market prices for a supply chain manager in the TAC-SCM game scenario. The agent has two learning methods based in temporal differences. In one hand he learns the short term tendency of the market to adjust its prices proportionally to the rise or drop. He also learns a value of probability to elevate the prices proportionally to the excess of real demand.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114247403","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
SADCoRH A Dynamic System to Solve Conflicts in the Use of Water through the Generation of Rules by Genetic Algorithms 利用遗传算法生成规则解决用水冲突的动态系统
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.59
P. Neto, A. Bonfante, P. Zeilhofer, C. Martins, J. Figueiredo
{"title":"SADCoRH A Dynamic System to Solve Conflicts in the Use of Water through the Generation of Rules by Genetic Algorithms","authors":"P. Neto, A. Bonfante, P. Zeilhofer, C. Martins, J. Figueiredo","doi":"10.1109/MICAI.2008.59","DOIUrl":"https://doi.org/10.1109/MICAI.2008.59","url":null,"abstract":"The sustainability of the water uses in the future depends on the planning and the rational management of water resources. As many governments around the world, Brazil has endorsed in 1997 the federal law 9.433 on water resources, which previews the development of management tools to support decision making on how to use and regulate the rights of rational water use. This work presents a computational tool, based on genetics algorithms, able to optimize water use allocation. The system is validated in a case study in the Cuiaba river basin, in Mato Grosso State, Brazil.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114684604","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
Interpretation of Mammographic Using Fuzzy Logic for Early Diagnosis of Breast Cancer 模糊逻辑对乳腺x线摄影早期诊断乳腺癌的解释
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.58
J. R. Pérez-Gallardo, Beatriz Hernández-Vera, A. Aguilar-Lasserre, R. Posada-Gómez
{"title":"Interpretation of Mammographic Using Fuzzy Logic for Early Diagnosis of Breast Cancer","authors":"J. R. Pérez-Gallardo, Beatriz Hernández-Vera, A. Aguilar-Lasserre, R. Posada-Gómez","doi":"10.1109/MICAI.2008.58","DOIUrl":"https://doi.org/10.1109/MICAI.2008.58","url":null,"abstract":"Accuracy and interpretability are two important objectives in the design of Fuzzy Logic model. In many real-world applications, expert experiences usually have good interpretability, but their accuracy is not always the best. Applying expert experiences to Fuzzy Logic model can improve accuracy and preserve interpretability. In this study we propose an accessible tool that helps medical interpretation of suspect zones or tumors in mammographics. This paper describes a methodology to locate precisely different kind of lesions in breast cancer patients. The use of Fuzzy Logic model improves the diagnostic efficiency in tumor progression. After applying an image segmentation method to extract regions of interest (ROIs), the values obtained feed the system. The Fuzzy Logic model processes them to achieve Breast Imagine Reporting And Data System (BI-RADSreg). Some experimental results on breast images show the feasibility of the propose methodology.","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134391032","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
Knowledge Consistency Maintenance Architecture for Bullwhip Effect in Global SCM
2008 Seventh Mexican International Conference on Artificial Intelligence Pub Date : 2008-10-27 DOI: 10.1109/MICAI.2008.28
Hsieh Ching-Shun, Hung Jui-Wen, Lo Kuo-Yen
{"title":"Knowledge Consistency Maintenance Architecture for Bullwhip Effect in Global SCM","authors":"Hsieh Ching-Shun, Hung Jui-Wen, Lo Kuo-Yen","doi":"10.1109/MICAI.2008.28","DOIUrl":"https://doi.org/10.1109/MICAI.2008.28","url":null,"abstract":"With e-business and enterprise global layout trend, SCM efficiency is a key of improving competitions. In global transnational enterprise, widely area duplicates inconsistency issues became seriously in the SCM as a result of using caching, middleware and database replication technologies to improve bullwhip effect problem. We proposed novel global knowledge message consistency model - DHWSRP (distributed heterogeneous Web service routing based portal) that can ripple propagate updating SCM copy that existed in internal heterogeneity of enterprise database with specified OKMS (original knowledge message source) partially dependency relationships. The thesis also proposed a new scalable replica routing policies dynamic reconfiguration distributed forwarding data path in hierarchical enterprises knowledge database. On the basis of the ubiquitous data consistency framework, many active updating flows can be pushed by AI agents using real time, periodic, reservation, and queuing with priority/degradation/preemption etc. methods. Apply scenario can eliminate in GSCM (global SCM).","PeriodicalId":301028,"journal":{"name":"2008 Seventh Mexican International Conference on Artificial Intelligence","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125859125","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
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