J. C. Ortíz-Bayliss, Dulce Jaqueline Magaña-Lozano, H. Terashima-Marín, S. E. Conant-Pablos
{"title":"A Recursive Split, Solve, and Join Strategy for Solving Constraint Satisfaction Problems","authors":"J. C. Ortíz-Bayliss, Dulce Jaqueline Magaña-Lozano, H. Terashima-Marín, S. E. Conant-Pablos","doi":"10.1109/MICAI.2015.18","DOIUrl":"https://doi.org/10.1109/MICAI.2015.18","url":null,"abstract":"Constraint satisfaction is a recurrent problem found in both industrial and academic environments. The importance of this particular problem relies on the fact that many other problem domains can be represented as constraint satisfaction problems. The instances of this problem are usually difficult to solve due to their combinatorial nature, as they often require an exponential time in the number of variables. Various solving strategies have been proposed to tackle this problem in the past, being the two most important trends local search and backtracking-based methods. In this paper we propose a novel solving strategy that partitions constraint satisfaction instances into smaller ones that can be independently solved and later, uses their solutions to solve the original instance. This process is performed in a recursive fashion, including both a local search-based and a backtracking-based solver. Tests of the proposed approach on a set of benchmark instances taken from public repositories obtained encouraging results with respect to both local search and backtracking-based solvers applied in isolation.","PeriodicalId":448255,"journal":{"name":"2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124078540","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}
Mario Aguilera-Ruiz, A. Rodríguez-Liñán, L. Torres-Treviño
{"title":"Change of Behavior on Swarm Robotics Using Repulsion and Attraction","authors":"Mario Aguilera-Ruiz, A. Rodríguez-Liñán, L. Torres-Treviño","doi":"10.1109/MICAI.2015.32","DOIUrl":"https://doi.org/10.1109/MICAI.2015.32","url":null,"abstract":"In this paper is presented a form to govern a swarm of robots using only two parameters for repulsion and attraction. Behavior of the swarm is first simulated using kinematic models of differential vehicles then an implementation of a pack of five robots is made. As a results, it is evident in simulations and implementations that changing repulsion and attraction parameters can change the behavior of the swarm of robots.","PeriodicalId":448255,"journal":{"name":"2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128938008","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}
S. Garcia-Sanchez, J. Olivares-Mercado, G. Sánchez-Pérez, K. Toscano-Medina, H. Meana
{"title":"Extraction System of Characters in Vehicular Plates","authors":"S. Garcia-Sanchez, J. Olivares-Mercado, G. Sánchez-Pérez, K. Toscano-Medina, H. Meana","doi":"10.1109/MICAI.2015.14","DOIUrl":"https://doi.org/10.1109/MICAI.2015.14","url":null,"abstract":"In this paper, is proposed a system that identifies the location and dimensions of the characters relative to the image of a vehicular plate, when the location has not been accurate. The system is divided into 4 stages, each with a specific purpose. Which are: binarization by thresholding, morphological filtering, identification of the largest area and segmentation similarity. The first stage is used to find at the extent of possible, the region occupied by the plate relative to the rest of the image. Then, in the filtering step, it seeks to eliminate as far as possible the noise that interferes with the identification of the characters. The third stage is used to identify the region occupied by the plate. Finally, segmentation by similarity is used to identify position and dimension of the characters at the image. This stage is implemented by a Kohonen neural network.","PeriodicalId":448255,"journal":{"name":"2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127254494","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}