D. R. Avellaneda, Raúl Pinto Elías, M. Mejía-Lavalle
{"title":"Natural Texture Classification: A Neural Network Models Benchmark","authors":"D. R. Avellaneda, Raúl Pinto Elías, M. Mejía-Lavalle","doi":"10.1109/ENC.2009.55","DOIUrl":"https://doi.org/10.1109/ENC.2009.55","url":null,"abstract":"In this paper a natural texture classification study was developed employing neural network models. The objective of this study was to assess the accuracy of each model for the classifying natural texture problem. Multi-layer Perceptron (MLP) network, Hopfield network, Self-organizing feature map (SOFM) network and a Radial Basis Function (RBF) network were the models studied, analyzed using the Neurosolutions version 5.0 (trial version) software and Weka version 3.4 software, in this work. A file, with more than 700 records of natural texture characteristics, which were obtained by the analysis of digital photographs of real landscapes, was used for the experiments. These natural textures were divided in 9 classes: water, ground-sand, grass, stones, sky, tree, mountain, snow and flowers. The experimental results showed that Multilayer Perceptron network was the best neural network model in the natural texture classification.","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"366 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122147916","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}
{"title":"An Architecture for Asynchronous Indexing of Media Assets","authors":"J. M. Carlín, D. Luz, Cheng Abusabal","doi":"10.1109/ENC.2009.21","DOIUrl":"https://doi.org/10.1109/ENC.2009.21","url":null,"abstract":"Multimedia documents, though rich in content, generally lack structured and descriptive metadata that would allow indexing, searching, and cross-linking. Since the field of Multimedia Information Retrieval has been working on solving the problem of multimedia content analyzing and indexing for a number of years, several existing components could be integrated into a final solution, as well as incorporating new techniques from current research results. Hence, a multimedia indexing system must not only face the challenge of a providing scalability and performance, but should also allow for interoperability with legacy code and integration of new processes. With these goals in mind, this paper presents a loosely coupled, asynchronous, distributed event-based SOA media indexing system, making use of Web services and Enterprise Service Bus technologies and contrasts it with different application distribution approaches, with regards to the throughput, scalability, and response time when executing the tasks required for analyzing and indexing of large media document collections.","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116535462","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}
Jorge-Arnulfo Quiané-Ruiz, Jorge R. Manjarrez Sanchez
{"title":"Design of a VoiceXML Gateway","authors":"Jorge-Arnulfo Quiané-Ruiz, Jorge R. Manjarrez Sanchez","doi":"10.1109/ENC.2003.1232873","DOIUrl":"https://doi.org/10.1109/ENC.2003.1232873","url":null,"abstract":"VoiceXML is a standard language for the development of voice based user interfaces over telephone. VoiceXML applications bring us more advantages that IVR applications (Interactive Voice Response) because they can be used through any kind of telephone and a computer user interface. Though, development of this kind of applications is not a problem, it is hard to have to have where to execute them, because we always don't have a VoiceXML gateway, since it is very expensive (specialized hardware devices) so that is out of the reach of several small and medium size companies. This paper proposes a solution to this problem, with out the use of special devices, we designed and developed a VoiceXML gateway which is also operational and offers an architecture more than flexible than current commercial VoiceXML gateways.","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121299376","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}
{"title":"Gate-level Synthesis of Boolean Functions using Information Theory Concepts","authors":"A. H. Aguirre, C. C. Coello","doi":"10.1109/ENC.2003.1232904","DOIUrl":"https://doi.org/10.1109/ENC.2003.1232904","url":null,"abstract":"In this paper we apply information theory concepts to evolutionary Boolean circuit synthesis. We discuss the schema destruction problem when simple conditional entropy is used as fitness function. The design problem is the synthesis of Boolean functions by using the minimum number of binary multiplexers. We show that the fitness landscape of normalized mutual information exhibits better characteristics for evolutionary search than the landscape of simple mutual information. A comparison of minimum evolved circuits shows the potential of information theory concepts.","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115601506","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}
Enrique Castillo Juárez, I. H. P. Torres, M. J. S. García, M. M. Ortiz
{"title":"Query an Image Database by Segmentation and Content","authors":"Enrique Castillo Juárez, I. H. P. Torres, M. J. S. García, M. M. Ortiz","doi":"10.1109/ENC.2009.39","DOIUrl":"https://doi.org/10.1109/ENC.2009.39","url":null,"abstract":"The Recent advances on image databases have been developed and most of them consider several methods to query image, the amount of information stored is so big that it is a must to use a combination of different techniques such as image segmentation in order to reduce the dimensionality of the search space. Taking advantage of an image pictographic expressiveness together with the soundness of image segmentation methods, it is possible to rely on an efficient method to query an image database. In this work, it is proposed a new method of image segmentation, indexation and retrieval by content. In this paper an image is not considered as a set of objects, is considered as a feature vector where its components represent a segment of color. Color is treated in another color space rather than to work on RGB space. For each image a fuzzy histogram is obtained in order to get for each image its own signature together whit its own feature vector. Fuzzy theory is applied to solve color uncertainty, which it comes from color quantification and human perception of colors. The whole set of images, which are in RGB representation are transformed to LAB model, obtaining better color representation in order to obtain a feature vector together with wavelet coefficients.","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123271129","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}
M. Martínez-Morales, R. Garza-Domínguez, N. Cruz-Ramírez, A. Guerra-Hernández, José Luis Jiménez-Andrade
{"title":"A Method Based on Genetic Algorithms and Fuzzy Logic to Induce Bayesian Networks","authors":"M. Martínez-Morales, R. Garza-Domínguez, N. Cruz-Ramírez, A. Guerra-Hernández, José Luis Jiménez-Andrade","doi":"10.1109/ENC.2004.1342603","DOIUrl":"https://doi.org/10.1109/ENC.2004.1342603","url":null,"abstract":"A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evaluate bayesian networks combining different quality criteria. A fuzzy system is proposed to enable the combination of different quality metrics. In this fuzzy system a metric of classification is also proposed, a criterium that is not often used to guide the search while learning bayesian networks. Finally, the fuzzy system is integrated to a genetic algorithm, used as a search method to explore the space of possible bayesian networks, resulting in a robust and flexible learning method with performance in the range of the best learning algorithms of bayesian networks developed up to now.","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123373723","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}
{"title":"The remote sensing of nocturnal images from the ISS can contribute to environmental and socioeconomic studies","authors":"H. A. Solano-Lamphar","doi":"10.1109/ENC56672.2022.9882914","DOIUrl":"https://doi.org/10.1109/ENC56672.2022.9882914","url":null,"abstract":"The night-time images captured by the astronauts on the International Space Station represent a valuable source of information for all researchers interested in the study of light pollution. There is a significant advantage in using remote sensing data, because local measurements require too much time to cover a large area. We present this paper to make a relative estimation of the amount of lighting that is projected into the atmosphere in different cities of Mexico. The main purpose was to determine light pollution by geo-referencing night-time images obtained from the International Space Station. We can use the results in subsequent studies on the variation of night-time lighting conditions and their socio-demographic, socio-economic, and environmental relationships. This work interests lighting engineers, night sky modelers and public policy researchers who have a continuous need for sufficient data on the distribution of light intensity to enable better analysis and the establishment of regulatory measures.","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115243309","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}
{"title":"Error Analysis of Typical Starlight Refraction Model","authors":"Shaoxiong Zhang, Kedong Wang","doi":"10.23919/ENC48637.2020.9317456","DOIUrl":"https://doi.org/10.23919/ENC48637.2020.9317456","url":null,"abstract":"Starlight refraction navigation is a very important method for spacecraft. Over the course of decades, starlight refraction navigation has developed a set of classical calculations. Among them, the atmospheric refraction model of starlight is undoubtedly the core of this algorithm. However, the model is based on several ideal conditions. These conditions may not be met. The analysis of the influence of these conditions on the whole refraction model is of great value to the error analysis of starlight refraction navigation. In this paper, the effects of different hypotheses on the establishment of the model are analyzed based on the process of establishing the traditional model. Based on the theoretical analysis results, we designed a rigorous simulation experiment and revealed the role of different model assumptions through the simulation results.","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122950267","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}
{"title":"Cover","authors":"","doi":"10.1109/ENC.2005.43","DOIUrl":"https://doi.org/10.1109/ENC.2005.43","url":null,"abstract":"","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128356530","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}