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2015 7th Conference on Information and Knowledge Technology (IKT)最新文献

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Intelligent traffic light control based on clustering using Vehicular Ad-hoc Networks 基于车辆自组织网络的聚类智能交通灯控制
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288801
Hossein Rashid, M. Ashrafi, M. Azizi, Mohammad Reza Heydarinezhad
{"title":"Intelligent traffic light control based on clustering using Vehicular Ad-hoc Networks","authors":"Hossein Rashid, M. Ashrafi, M. Azizi, Mohammad Reza Heydarinezhad","doi":"10.1109/IKT.2015.7288801","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288801","url":null,"abstract":"As urbanization grows and the cost of vehicle production decreases, urban traffic has become a major problem of modern life. Developing intelligent vehicles alongside standardizing inter-vehicle communications promises that this technology will be a part of future life. In this research, we propose a method in which clustering is used to gather vehicles' movements information in a vehicle ad-hoc network. This method is based on extending green wave using road-side units as a fixed agent and on board units (OBU) in vehicles as a mobile agent. This information is then transmitted to traffic lights for decision making. This algorithm evaluated using Monte Carlo simulation. The simulation results show this method has a positive effect on reducing the average waiting time and overall stop of the vehicles behind the traffic lights.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122522553","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 new ensemble clustering method for PolSAR image segmentation 一种新的PolSAR图像分割集成聚类方法
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288775
G. Akbarizadeh, Masoumeh Rahmani
{"title":"A new ensemble clustering method for PolSAR image segmentation","authors":"G. Akbarizadeh, Masoumeh Rahmani","doi":"10.1109/IKT.2015.7288775","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288775","url":null,"abstract":"In this paper, an effort is made to integrate spectral clustering and Gabor feature clustering, leading to improved segmentation results. The spectral clustering divides an image into nonoverlapped groups such that the intragroup similarity is high and the intergroup similarity is low as much as possible. This method includes solving the eigenvalue problem for the normalized similarity matrix, of size n × n, where n is the number of pixels. On the other hand, Gabor filter is used for texture feature extraction. A texture feature vector for each pixel of the image is formed corresponding to the texture edge energy at different directions with Gabor filter. The K-means clustering is applied on the texture feature vectors of all pixel of the input image. Finally, to integrate the results of spectral clustering and Gabor feature clustering, a cluster ensemble approach is applied and PolSAR image segmentation is performed. The experimental results indicate the effect of proposed method on PolSAR image segmentation.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133869481","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: 21
Improving SLA-based job scheduling in economic Grid Using Heuristics 利用启发式算法改进经济网格中基于sla的作业调度
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288761
H. Kalati, R. Javadzadeh.
{"title":"Improving SLA-based job scheduling in economic Grid Using Heuristics","authors":"H. Kalati, R. Javadzadeh.","doi":"10.1109/IKT.2015.7288761","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288761","url":null,"abstract":"In shared heterogeneous environment of Grid that jobs compete for the best QoS, selecting appropriate resources to run a job efficiently is a complex responsibility of a scheduler. Schedulers today establish a SLA between two participants to meet the considered QoS. SLA-based job scheduling and resource allocation are based on the concept of agreement between supplier and consumer. In addition, heuristic techniques can help the scheduler to select the best SLA. Therefore, this paper presents a resource scheduling approach called HPESA, Heuristic and Priority based Economic Scheduling Approach, to improve SLA-based job scheduling in economic Grid. The main purpose of this study is the evaluation of some simple heuristics to enhance the performance, utilization, and the total earnings of the resources as well as to reduce the average response time, average budget spent and the number of messages exchanged. This article also intends to enhance SLA-based contract negotiation between supplier and consumer and job migration conditions. Our simulations on GridSim toolkit explain the usefulness of this approach in providing QoS to the users and its impact on scheduling in economic Grid.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114987817","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
Persian speech emotion recognition 波斯语语音情感识别
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288756
Mohammad Savargiv, A. Bastanfard
{"title":"Persian speech emotion recognition","authors":"Mohammad Savargiv, A. Bastanfard","doi":"10.1109/IKT.2015.7288756","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288756","url":null,"abstract":"Speech emotion recognition is one of the most challenging and the most interesting topics of the voice processing research in recent years. Performance enhancement and computational complexity mitigation are the subject matter of the current study. Current study proposes a speech emotion recognition method by employing HMM-based classifier and minimum number of features in the Persian language. Result illustrate the proposed method is able to recognizing eight emotional states of anger, happy, sadness, neutral, surprise, disgust, fear and boredom up to 79.50% average accuracy. In contrast to previous researches, the proposed method provides 8.72% improvement.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124700692","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: 17
A fast approach for multi-objective team formation in social networks 社交网络中多目标团队快速组建方法
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288755
Bahareh Ashenagar, A. Hamzeh, Negar Foroutan Eghlidi, Ardavan Afshar
{"title":"A fast approach for multi-objective team formation in social networks","authors":"Bahareh Ashenagar, A. Hamzeh, Negar Foroutan Eghlidi, Ardavan Afshar","doi":"10.1109/IKT.2015.7288755","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288755","url":null,"abstract":"In recent years, the growth and popularity of social networks have created a new world of collaboration and communication. Team formation is a new research topic in the area of social network analysis. Consider there is a social network of experts and the goal is to form the best possible team out of them for a given project. The best solution is a team with the minimized communication cost within team members. A social network is modeled as a graph, in which nodes represent experts and an edge between two nodes shows a prior collaboration of the two experts. The contribution of this paper is to select team members based on both closeness centrality and eigenvector centrality. Experimental results on the DBLP dataset show that our approach completes in lower time compared to the previous methods.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"67 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122150331","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: 8
Internet traffic classification using multiple classifiers 使用多个分类器的互联网流量分类
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288772
Fatemeh Ghofrani, A. Keshavarz-Haddad, A. Jamshidi
{"title":"Internet traffic classification using multiple classifiers","authors":"Fatemeh Ghofrani, A. Keshavarz-Haddad, A. Jamshidi","doi":"10.1109/IKT.2015.7288772","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288772","url":null,"abstract":"In this work, we propose a novel scheme for internet traffic classification using combination of three different classifiers. The proposed classification scheme consists of three steps. In the first step, in order to achieve discrete features, the size of the first four packets of each flow is discretized based on an entropy-based algorithm. In the next step, three classifiers including K-NN, SVM and Naive Bayes are employed to determine the label of unknown flows. In the last step, the outputs of three classifiers are combined using four combiner schemes including Dynamic Classifier Selection by Local Accuracy (DCS-LA), Naive Bayes (NB), Majority Voting (MV) and Oracle in order to make final decision on the label of unknown flows and achieve the highest possible accuracy. We conduct experiments on a dataset including only 50 training flow per application to evaluate the effectiveness of our classification scheme. The results indicate that our proposed internet traffic classification scheme is able to achieve a high level of accuracy.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127934663","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: 8
SAR image segmentation using unsupervised spectral regression and Gabor filter bank 基于无监督光谱回归和Gabor滤波器组的SAR图像分割
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288780
G. Akbarizadeh, Z. Tirandaz
{"title":"SAR image segmentation using unsupervised spectral regression and Gabor filter bank","authors":"G. Akbarizadeh, Z. Tirandaz","doi":"10.1109/IKT.2015.7288780","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288780","url":null,"abstract":"Segmentation of synthetic aperture radar (SAR) is a challenge topic in recent years. Many statistical and structural methods have been proposed for this goal. Some of them are based on clustering, such as the sparse spectral clustering and Nyström method. These methods suffer from the low speed and high computational complexity because of the use of the eigen-decomposition in their algorithm. In this paper, we proposed an unsupervised feature learning method in which the features of different areas of SAR images are extracted, and then they will be learned using an unsupervised manner and finally the learned features will be clustered. The proposed algorithm improved the accuracy compared with other methods and it also has a shorter run time.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121714695","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
Training back propagation neural networks using asexual reproduction optimization 使用无性繁殖优化训练反向传播神经网络
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288738
S. Ahmadian, A. Khanteymoori
{"title":"Training back propagation neural networks using asexual reproduction optimization","authors":"S. Ahmadian, A. Khanteymoori","doi":"10.1109/IKT.2015.7288738","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288738","url":null,"abstract":"Training a back propagation neural network is an optimization problem to find optimal weight set in training process. The back propagation neural network can fall into a local minimum point during learning of training patterns. Therefore, evolutionary algorithms can be used to train this neural network to obtain suitable initial weight set. In this paper, a novel approach is proposed to train the back propagation neural network based on asexual reproduction optimization (ARO) algorithm. The basic idea of the proposed method is to apply ARO algorithm at the first step to search for the global initial connection weights. Then, the back propagation algorithm is used to thoroughly search for the optimal weight set. The performance of the proposed method is evaluated using a number of problems. Experimental results show that the proposed method is better than the genetic and back propagation algorithms in convergent speed and convergent accuracy.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131521758","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: 30
A content-based method for Persian real-word spell checking 基于内容的波斯语实词拼写检查方法
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288791
M. Samani, Zeinab Rahimi, Sara Rahimi
{"title":"A content-based method for Persian real-word spell checking","authors":"M. Samani, Zeinab Rahimi, Sara Rahimi","doi":"10.1109/IKT.2015.7288791","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288791","url":null,"abstract":"Here, a content-based method for real-word spell checking in Persian language is presented. In this method real-word mistakes are classified in 5 categories and are resolved using a content-based procedure. Each word which may cause any real-word error is listed in a candidate set in a same entry with its similar words (potential mistakes in a single entry). In next step, a content-word list is constructed based on adjacent frequent N-grams for each word in confusion set. Evaluations indicate that proposed method not only provides promising performance and acceptable precision, but also outperforms a similar existing system from precision and recall points of view.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130101768","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
Application of information technology techniques in design of a CRM model for Telecommunication company 信息技术在电信企业CRM模型设计中的应用
2015 7th Conference on Information and Knowledge Technology (IKT) Pub Date : 2015-05-26 DOI: 10.1109/IKT.2015.7288789
Tahere Dehghani Firoozabadi, M. Ghasemzadeh
{"title":"Application of information technology techniques in design of a CRM model for Telecommunication company","authors":"Tahere Dehghani Firoozabadi, M. Ghasemzadeh","doi":"10.1109/IKT.2015.7288789","DOIUrl":"https://doi.org/10.1109/IKT.2015.7288789","url":null,"abstract":"Customer Relationship Management (in short CRM) is gaining more and more importance due to the competitive market. Most developing countries which are experiencing economical reforms need to apply new CRM methods in order to retain and increase their domestic and foreign customers. Customer Relationship Management has a prominent importance in Telecommunication companies, specifically for the Data section customers' office, which is responsible for data processing and providing of the relations between offices and organizations. In this research paper, we present a new model which is more suitable for Data customers in a Telecommunication company. In our research we considered Customer Relationship management from three aspects: technology, procedures and human factors, and we have defined the main criteria and sub criteria of each one. The proposed model in one hand takes a step toward dynamism and increasing customer satisfaction, and on the other hand improving level of service and increase in the profits of telecommunication Company.","PeriodicalId":338953,"journal":{"name":"2015 7th Conference on Information and Knowledge Technology (IKT)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123769502","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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