Pub Date : 2019-10-10DOI: 10.36478/ijscomp.2019.1.5
Rashad A. Al-Jawfi
{"title":"Recognition of Similar Shaped Handwritten Arabic Characters Using Neural Network","authors":"Rashad A. Al-Jawfi","doi":"10.36478/ijscomp.2019.1.5","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.1.5","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83640049","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}
Pub Date : 2019-10-10DOI: 10.36478/ijscomp.2019.28.32
Aicha Mint Aboubekrine, Kamal Eddine El Kadiri, Youness Tabii, M. L. Diakité, Lamarti Sefian Mohammed, Nagi Ould Taleb
{"title":"Effective Method for Segmentation of Arabic Manuscript Documents","authors":"Aicha Mint Aboubekrine, Kamal Eddine El Kadiri, Youness Tabii, M. L. Diakité, Lamarti Sefian Mohammed, Nagi Ould Taleb","doi":"10.36478/ijscomp.2019.28.32","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.28.32","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"91 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83944987","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}
Pub Date : 2019-01-01DOI: 10.1007/978-3-030-33749-0
Lourdes Martínez-Villaseñor, I. Batyrshin, A. Marín-Hernández
{"title":"Advances in Soft Computing: 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Xalapa, Mexico, October 27 – November 2, 2019, Proceedings","authors":"Lourdes Martínez-Villaseñor, I. Batyrshin, A. Marín-Hernández","doi":"10.1007/978-3-030-33749-0","DOIUrl":"https://doi.org/10.1007/978-3-030-33749-0","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87040277","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}
Pub Date : 2019-01-01DOI: 10.1007/978-3-030-33749-0_22
Apolinar Velarde Martínez
{"title":"Parallel Task Graphs Scheduling Based on the Internal Structure","authors":"Apolinar Velarde Martínez","doi":"10.1007/978-3-030-33749-0_22","DOIUrl":"https://doi.org/10.1007/978-3-030-33749-0_22","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75727355","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}
Pub Date : 2019-01-01DOI: 10.1007/978-3-030-33749-0_5
Omar Rodríguez López, Guillermo de Jesús Hoyos Rivera
{"title":"A Simple but Powerful Word Polarity Classification Model","authors":"Omar Rodríguez López, Guillermo de Jesús Hoyos Rivera","doi":"10.1007/978-3-030-33749-0_5","DOIUrl":"https://doi.org/10.1007/978-3-030-33749-0_5","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"207 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73006045","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}
U. Umoh, I. Umoeka, M. Ntekop, Emmanuel O Babalola
{"title":"Interval Type-2 Fuzzy Neural Networks for Short Term Electric Load Forecasting: A Comparative Study","authors":"U. Umoh, I. Umoeka, M. Ntekop, Emmanuel O Babalola","doi":"10.5121/IJSC.2018.9101","DOIUrl":"https://doi.org/10.5121/IJSC.2018.9101","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"47 1","pages":"01-20"},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88320074","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}
Nowadays considering developments in computing area, cloud computing is regarded as a new appearing technology in high level computations as well as a storage system in which the service suppliers receive money from users based on the amount of using their services. One of the most important necessities of a distributed system, like cloud, is employing an efficient method for discovery of a service which is in harmony with users' needs that helps managing services and timing users' activities. In this paper, an algorithm is introduced for minimizing the number of service registry message in unstructured peer to peer network of cloud platform for execution of which, the genetic algorithm has been benefited of discover an efficient arrangement of service providers as well as exploiting the breadth first search to discover connective arrangements. The execution is done on different arrangements of service providers the results of which show that the mentioned minimizing algorithm has reached to the most efficient arrangement which leads the least service registry messages.
{"title":"A method for optimized arrangement of service providers in elastic cloud platform","authors":"Samira Talebi, Hassan Khotanlou, Mansour Esmaeilpour","doi":"10.5899/2018/JSCA-00071","DOIUrl":"https://doi.org/10.5899/2018/JSCA-00071","url":null,"abstract":"Nowadays considering developments in computing area, cloud computing is regarded as a new appearing technology in high level computations as well as a storage system in which the service suppliers receive money from users based on the amount of using their services. One of the most important necessities of a distributed system, like cloud, is employing an efficient method for discovery of a service which is in harmony with users' needs that helps managing services and timing users' activities. In this paper, an algorithm is introduced for minimizing the number of service registry message in unstructured peer to peer network of cloud platform for execution of which, the genetic algorithm has been benefited of discover an efficient arrangement of service providers as well as exploiting the breadth first search to discover connective arrangements. The execution is done on different arrangements of service providers the results of which show that the mentioned minimizing algorithm has reached to the most efficient arrangement which leads the least service registry messages.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"111 1","pages":"13-19"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85356894","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. Rangaswamy, B. AkshayaKumaraP, Anilkumar Timmapur, Arunkumar R. Naik, Basavaraj R. Navalagi
The detection of the Brain Tumor is a challenging problem, due to the structure of the Tumor cells in the brain. This project presents a systematic method that enhances the detection of brain tumor cells and to analyze functional structures by training and classification of the samples in SVM and tumor cell segmentation of the sample using DWT algorithm. From the input MRI Images collected, first noise is removed from MRI images by applying wiener filtering technique. In image enhancement phase, all the color components of MRI Images will be converted into gray scale image and make the edges clear in the image to get better identification and improvised quality of the image. In the segmentation phase, DWT on MRI Image to segment the grey-scale image is performed. During the post-processing, classification of tumor is performed by using SVM classifier. Wiener Filter, DWT, SVM Segmentation strategies were used to find and group the tumor position in the MRI filtered picture respectively. An essential perception in this work is that multi arrange approach utilizes various leveled classification strategy which supports execution altogether. This technique diminishes the computational complexity quality in time and memory. This classification strategy works accurately on all images and have achieved the accuracy of 93%.
{"title":"Image Denoising And Segmentation Approchto Detect Tumor From BRAINMRI Images","authors":"S. Rangaswamy, B. AkshayaKumaraP, Anilkumar Timmapur, Arunkumar R. Naik, Basavaraj R. Navalagi","doi":"10.5899/2018/jsca-00103","DOIUrl":"https://doi.org/10.5899/2018/jsca-00103","url":null,"abstract":"The detection of the Brain Tumor is a challenging problem, due to the structure of the Tumor cells in the brain. This project presents a systematic method that enhances the detection of brain tumor cells and to analyze functional structures by training and classification of the samples in SVM and tumor cell segmentation of the sample using DWT algorithm. From the input MRI Images collected, first noise is removed from MRI images by applying wiener filtering technique. In image enhancement phase, all the color components of MRI Images will be converted into gray scale image and make the edges clear in the image to get better identification and improvised quality of the image. In the segmentation phase, DWT on MRI Image to segment the grey-scale image is performed. During the post-processing, classification of tumor is performed by using SVM classifier. Wiener Filter, DWT, SVM Segmentation strategies were used to find and group the tumor position in the MRI filtered picture respectively. An essential perception in this work is that multi arrange approach utilizes various leveled classification strategy which supports execution altogether. This technique diminishes the computational complexity quality in time and memory. This classification strategy works accurately on all images and have achieved the accuracy of 93%.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"75 1","pages":"51-59"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80505346","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}
Parameter identification for chaotic systems is one of the crucial issues in nonlinear science, which can be raised as a multi-dimensional optimization problem. In this article, parameter estimation of hyperchaotic Chen-Lee system was performed for the first time using the metaheuristic firefly algorithm. Firefly algorithm is a nature-inspired metaheuristic and optimization algorithm. This algorithm has been provided by Yang and inspired by natural behavior of fireflies of light emission. The efficiency of the firefly algorithm has been compared with the particle swarm optimization (PSO) algorithm. The results of the simulation conducted on the model indicated high accuracy and speed of the firefly algorithm in parameter estimation of hyperchaotic systems.
{"title":"Parameter Identification of Hyperchaotic Chen-Lee System Using Firefly Algorithm","authors":"Farid Shayeteh, R. K. Moghaddam","doi":"10.5899/2018/JSCA-00096","DOIUrl":"https://doi.org/10.5899/2018/JSCA-00096","url":null,"abstract":"Parameter identification for chaotic systems is one of the crucial issues in nonlinear science, which can be raised as a multi-dimensional optimization problem. In this article, parameter estimation of hyperchaotic Chen-Lee system was performed for the first time using the metaheuristic firefly algorithm. Firefly algorithm is a nature-inspired metaheuristic and optimization algorithm. This algorithm has been provided by Yang and inspired by natural behavior of fireflies of light emission. The efficiency of the firefly algorithm has been compared with the particle swarm optimization (PSO) algorithm. The results of the simulation conducted on the model indicated high accuracy and speed of the firefly algorithm in parameter estimation of hyperchaotic systems.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"71 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79496390","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 Supplier evaluation problem: the state of the art","authors":"Nazanin Ghasemy, Afrouz Rahmandoust, Sedigheh Khoushehchin-Bahar","doi":"10.5899/2018/jsca-00105","DOIUrl":"https://doi.org/10.5899/2018/jsca-00105","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"43 1","pages":"20-50"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88403093","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}
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