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A Transportation Control System for Urban Environments 城市环境下的交通控制系统
2012 Third International Conference on Emerging Intelligent Data and Web Technologies Pub Date : 2012-09-19 DOI: 10.1109/EIDWT.2012.30
Catalin Fratila, C. Dobre, Florin Pop, V. Cristea
{"title":"A Transportation Control System for Urban Environments","authors":"Catalin Fratila, C. Dobre, Florin Pop, V. Cristea","doi":"10.1109/EIDWT.2012.30","DOIUrl":"https://doi.org/10.1109/EIDWT.2012.30","url":null,"abstract":"Wireless technologies can help solve traffic congestions in urban environments, where road infrastructures develop slower than the sometimes exponential growth in the number of cars in traffic. We present a traffic control and congestion avoidance system developed over a vehicular ad-hoc network created between the cars in traffic and the road infrastructure. We propose a solution for monitoring traffic using not only sensors within the road infrastructure, but also the cars themselves acting as data collectors. The traffic control decision, provided by the road infrastructure, is scalable, load-balanced, and uses correction decisions for the route adjustment based on local areas. We present evaluation results that show the capabilities of the proposed congestion avoidance model.","PeriodicalId":222292,"journal":{"name":"2012 Third International Conference on Emerging Intelligent Data and Web Technologies","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133868463","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: 11
MongoDB vs Oracle -- Database Comparison MongoDB与Oracle—数据库比较
2012 Third International Conference on Emerging Intelligent Data and Web Technologies Pub Date : 2012-09-19 DOI: 10.1109/EIDWT.2012.32
A. Boicea, F. Rădulescu, Laura Ioana Agapin
{"title":"MongoDB vs Oracle -- Database Comparison","authors":"A. Boicea, F. Rădulescu, Laura Ioana Agapin","doi":"10.1109/EIDWT.2012.32","DOIUrl":"https://doi.org/10.1109/EIDWT.2012.32","url":null,"abstract":"This paper presents differences between an SQL database management system - Oracle Database and No SQL document oriented database management system - Mongo DB. Comparison criteria includes theoretical differences, features, restrictions, integrity, distribution, system requirements, architecture, query and insertion times.","PeriodicalId":222292,"journal":{"name":"2012 Third International Conference on Emerging Intelligent Data and Web Technologies","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122677916","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: 147
Massive Processing of Activity Logs of a Virtual Campus 虚拟校园活动日志的海量处理
2012 Third International Conference on Emerging Intelligent Data and Web Technologies Pub Date : 2012-09-19 DOI: 10.1109/EIDWT.2012.64
F. Xhafa, Juan Jose Ruiz, S. Caballé, Evjola Spaho, L. Barolli, Rozeta Miho
{"title":"Massive Processing of Activity Logs of a Virtual Campus","authors":"F. Xhafa, Juan Jose Ruiz, S. Caballé, Evjola Spaho, L. Barolli, Rozeta Miho","doi":"10.1109/EIDWT.2012.64","DOIUrl":"https://doi.org/10.1109/EIDWT.2012.64","url":null,"abstract":"Online web-based application that heavily require user interaction, either among users or among users and the application, generate huge amounts of data. Recording such user interaction data, usually in the form of log data files, could be very useful for different purposes such as user modelling, user activity analysis, data analytics, security, monitoring, etc. However, such data is not ready to be analysed due log files are to be pre-processed and cleaned up from redundant and futile information. Due to the large amounts of data generated daily, the massive processing is a foremost step in extracting useful information from log data files. In this work we study the viability of massive processing of log data files of a real Virtual Campus using different distributed infrastructures. More precisely, we study the time performance of processing daily log files of a Virtual Campus using cluster computing(under Open Grid Engine) and Planet Lab platform. The study reveals the complexity and challenges of massive processing in the big data era.","PeriodicalId":222292,"journal":{"name":"2012 Third International Conference on Emerging Intelligent Data and Web Technologies","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115120682","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
Mining Navigation Patterns in a Virtual Campus 挖掘虚拟校园中的导航模式
2012 Third International Conference on Emerging Intelligent Data and Web Technologies Pub Date : 2012-09-01 DOI: 10.1109/EIDWT.2012.65
F. Xhafa, A. Martinez, S. Caballé, Vladi Koliçi, L. Barolli
{"title":"Mining Navigation Patterns in a Virtual Campus","authors":"F. Xhafa, A. Martinez, S. Caballé, Vladi Koliçi, L. Barolli","doi":"10.1109/EIDWT.2012.65","DOIUrl":"https://doi.org/10.1109/EIDWT.2012.65","url":null,"abstract":"The web designers of Virtual Campuses or web applications, in general, targeting a large number of online users aim to facilitate the navigation of users through the site content. Qualitative and quantitative studies can support web designers by providing information on users' profiles, interest on site content, etc. One source of valuable information is that of server log files, which record users' action during online navigation. The study of user behavior through actions recorded in these logs allows, in particular, the identification of navigation patterns. In this paper we present the processing and analysis of log data files of a Virtual Campus. The pre-processing of the log data files is done through a Java implementation that generates a file structure and content suitable for data mining. We have selected WEKA framework, which thanks to the KMeans, Apriori and FPGrown algorithms, makes possible to obtain navigation patterns of users of the Virtual Campus. The study is motivated and conducted in the context of the actual data logs of the Virtual Campus of Open University of Catalonia.","PeriodicalId":222292,"journal":{"name":"2012 Third International Conference on Emerging Intelligent Data and Web Technologies","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127510230","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
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