2015 International Symposium on Computer Science and Software Engineering (CSSE)最新文献

A metric-driven approach for interlinking assessment of RDF graphs 用于RDF图的互连评估的度量驱动方法

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-18 DOI: 10.1109/CSICSSE.2015.7369244

Najme Yaghouti, M. Kahani, Behshid Behkamal

引用次数: 5

Game theory-based and heuristic algorithms for parking-lot search 基于博弈论的启发式停车场搜索算法

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-01 DOI: 10.1109/CSICSSE.2015.7369235

Ayub Mamandi, S. Yousefi, Reza Ebrahimi Atani

{"title":"Game theory-based and heuristic algorithms for parking-lot search","authors":"Ayub Mamandi, S. Yousefi, Reza Ebrahimi Atani","doi":"10.1109/CSICSSE.2015.7369235","DOIUrl":"https://doi.org/10.1109/CSICSSE.2015.7369235","url":null,"abstract":"Increasing the population of cites has led to several problems in using the spatial sources of cities. One of these sources which imposes high expenses on city mates are car parks. To solve such problems many parking guidance systems have been developed, but unfortunately in most of them the efficiency has not been evaluated. In order to analyze efficiency of parking guidance systems, in this paper two models of parking selection systems are provided, using two concepts: game theory and priority heuristic. In the games theory model, drivers are considered as being rational entity that are seeking to maximize their payoffs. On the other hand, in the priority heuristic model, characteristics of drivers are taken into account for choosing a car park. We compared our model to the similar existing models based on three factors: the total number of drivers, the number of on-street car parks space, costs difference between private and on-street car parks and the influences of each factor on the efficiency of the parking guidance system. The results of comparison represent far higher efficiency compared to previous models.","PeriodicalId":115653,"journal":{"name":"2015 International Symposium on Computer Science and Software Engineering (CSSE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114779908","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

A graphical password against spyware and shoulder-surfing attacks 针对间谍软件和肩部冲浪攻击的图形密码

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-01 DOI: 10.1109/CSICSSE.2015.7369239

Elham Darbanian, Gh Dastghaiby Fard

引用次数: 12

A hybrid heuristic algorithm for the no-wait flowshop scheduling problem 无等待流水车间调度问题的混合启发式算法

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-01 DOI: 10.1109/CSICSSE.2015.7369247

V. Riahi, Morteza Kazemi

引用次数: 5

Hybrid bilateral filter 混合型双边滤波器

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-01 DOI: 10.1109/CSICSSE.2015.7369248

Sara Behjat-Jamal, R. Demirci, Taymaz Rahkar-Farshi

引用次数: 2

Using local utility maximization to detect social networks communities 利用局部效用最大化来检测社会网络社区

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-01 DOI: 10.1109/CSICSSE.2015.7369236

Ardavan Afshar, Bahareh Ashenagar, Negar Foroutan Eghlidi, M. Z. Jahromi, A. Hamzeh

{"title":"Using local utility maximization to detect social networks communities","authors":"Ardavan Afshar, Bahareh Ashenagar, Negar Foroutan Eghlidi, M. Z. Jahromi, A. Hamzeh","doi":"10.1109/CSICSSE.2015.7369236","DOIUrl":"https://doi.org/10.1109/CSICSSE.2015.7369236","url":null,"abstract":"Community detection has recently turned to be one of the most popular research topics in social networks analysis. Majority of community detection methods already considered in the literature try to optimize a global metric through a centralized decision maker. These approaches are too time-consuming in huge networks. Several of methods need initial parameters such as number and size of communities in order to find out the problems; however, they are not always reachable. In this paper, we propose a local utility maximization approach for community identification as a distributed framework in which each community acts as a selfish agent to maximize its utility function based on some predefined actions. Our framework has some crucial characteristic features. The first feature is the local approach that is easily implemented through parallel computing concepts, while the second is an economical interpretation of utility measurement. Experimental results on output benchmark datasets show that our proposed method can perform as well as the existing centralized approaches that already exist in the literature to detect non-overlapping communities.","PeriodicalId":115653,"journal":{"name":"2015 International Symposium on Computer Science and Software Engineering (CSSE)","volume":"404 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127201691","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

Performance evaluation of SQL and MongoDB databases for big e-commerce data 面向电子商务大数据的SQL和MongoDB数据库性能评价

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-01 DOI: 10.1109/CSICSSE.2015.7369245

Seyyed Hamid Aboutorabi, Mehdi Rezapour, M. Moradi, Nasser Ghadiri

引用次数: 43

High performance GPU implementation of k-NN based on Mahalanobis distance 基于马氏距离的k-NN的高性能GPU实现

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-01 DOI: 10.1109/CSICSSE.2015.7369240

Mohsen Gavahi, Reza Mirzaei, Abolfazl Nazarbeygi, Armin Ahmadzadeh, S. Gorgin

{"title":"High performance GPU implementation of k-NN based on Mahalanobis distance","authors":"Mohsen Gavahi, Reza Mirzaei, Abolfazl Nazarbeygi, Armin Ahmadzadeh, S. Gorgin","doi":"10.1109/CSICSSE.2015.7369240","DOIUrl":"https://doi.org/10.1109/CSICSSE.2015.7369240","url":null,"abstract":"The k-nearest neighbor (k-NN) is a widely used classification technique and has significant applications in various domains. The most challenging issues in the k-nearest neighbor algorithm are high dimensional data, the reasonable accuracy of results and suitable computation time. Nowadays, using parallel processing and deploying many-core platforms like GPUs is considered as one of the popular approaches to improving these issues. In this paper, we present a novel and accurate parallel implementation of k-NN based on Mahalanobis distance metric in GPU platform. We design and implement k-NN for GPU architecture and utilize mathematic and algorithmic techniques to eliminate repetitive computations. Moreover, in addition, to taking advantage of different parallelism techniques, we improve warp management to gain maximum speed up in this implementation. Via Compute Unified Device Architecture (CUDA)-enabled GPUs, the acceleration is considerable as experimental results show the 110X speedup with respect to the single core CPU implementation. Furthermore, we measure the energy and power consumption of this algorithm for both CPU and GPU platforms, where GPU is more energy efficient regarding this application.","PeriodicalId":115653,"journal":{"name":"2015 International Symposium on Computer Science and Software Engineering (CSSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114533684","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 semi-automated reverse engineering method to recommend the best migration-to-cloud strategy 半自动化的逆向工程方法，推荐最佳的迁移到云策略

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-01 DOI: 10.1109/CSICSSE.2015.7369237

Behnaz Aghabalaee Bonab, O. Bushehrian

引用次数: 1

GMWASC: Graph matching with weighted affine and sparse constraints GMWASC:具有加权仿射和稀疏约束的图匹配

2015 International Symposium on Computer Science and Software Engineering (CSSE) Pub Date : 2015-08-01 DOI: 10.1109/CSICSSE.2015.7369249

Fatemeh Taheri Dezaki, A. Ghaffari, E. Fatemizadeh

引用次数: 0