2014 Third IEEE International Colloquium in Information Science and Technology (CIST)最新文献

{"title":"ActOnto: An extension of the SIOC standard for social media analysis and interoperability","authors":"Asmae El Kassiri, Fatima-Zahra Belouadha","doi":"10.1109/CIST.2014.7016595","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016595","url":null,"abstract":"By the sprout of Social Medias, and the rising of its users, a rich flow of information is loaded through person's interactions. This information are explicit or implicit since they can be inferred in particular from the interaction of persons in those media. Hence, a relevant challenge in the semantic social web domain research is to capture this information and decrypt its semantics. In this context, this paper proposes an extension of SIOC ontology to describe the different persons activities in the principals social Medias. The goal is to make efficient social networks analysis by aggregating their different contents.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122285346","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":"Smart media recommender system based on semi supervised machine learning","authors":"Nesrine Gouttaya, Naouar Belghini, Ahlame Begdouri, A. Zarghili","doi":"10.1109/CIST.2014.7016638","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016638","url":null,"abstract":"Predicting user preferences and providing personalized services based on his past preferences present an important issue in the field of pervasive computing. However, studies considering users' preferences are relatively insufficient in this domain. The aim of this paper is to propose an approach to provide personalized services to users, using context history and machine learning techniques. In this approach, we integrate, to pervasive recommender systems, the ability of predicting user preferences on new context situations even in unforeseen contexts that have not been considered when building the knowledge base of the system. And this, in order to serve the user in a proactive and uninterrupted way in various contexts that may arise in the future.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132211471","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":"Mining user patterns for location prediction in mobile social networks","authors":"F. Mourchid, A. Habbani, M. Elkoutbi","doi":"10.1109/CIST.2014.7016621","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016621","url":null,"abstract":"Understanding human mobility dynamics is of an essential importance to today mobile applications, including context-aware advertising and city wide sensing applications. Recently, Location-based social networks (LBSNs) have attracted important researchers' efforts, to investigate spatial, temporal and social aspects of user patterns. LBSNs allow users to \"check-in\" at geographical locations and share this information with friends. In this paper, analysis of check-ins data provided by Foursquare, the online location-based social network, allows us to construct a set of features that capture: spatial, temporal and similarity characteristics of user mobility. We apply this knowledge to location prediction problem, and combine these features in supervised learning for future location prediction. We find that the supervised classifier based on the combination of multiple features offers reasonable accuracy.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"34 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121187079","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":"Development of an embedded multi-agent software for autonomous robots","authors":"Y. Fathi, Said Benhlima","doi":"10.1109/CIST.2014.7016589","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016589","url":null,"abstract":"Robotic software platforms are being widely used as a solid base for developing research and education robots. To facilitate study and help in managing the complexity of controlling and handling hardware components. Several homemade and standardized robotic middleware platforms were proposed, to provide abstract software layers. This paper provides an overview of a novel middleware system specific for the Arduino microcontroller based robot, using a multi agent approach. Which provides autonomy, peer-to-peer communication protocols and, a rich base for integrating specific intelligent behaviors.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129132422","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":"Neural networks based on adjustable-order statistic filters for multimedia multicast routing","authors":"N. Saber, M. Khouil, M. Mestari","doi":"10.1109/CIST.2014.7016660","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016660","url":null,"abstract":"Multicast routing in communication networks is to transmit information from a single source to multiple destinations, using the network resources very effectively, and respecting several constraints, such as delay, cost, bandwidth or other. To guarantee optimal diffusion, it is necessary to determine a tree that connects the source node to all destination nodes minimizing the use of resources. In this paper, we propose an artificial neural network for the construction of the multicast tree, based on adjustable-order statistic filters. Our approach for solving this problem differs from the conventional approach used in the field of neural networks. Our primary concern is how to organize neurons into a network so that it can solve a specific problem, with an emphasis on fully utilizing the massive parallelism property offered by neural networks.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127308752","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":"Adaptive P2PTV with scalable video coding","authors":"Youssef Lahbabi, E. I. Elhaj, A. Hammouch","doi":"10.1109/CIST.2014.7016647","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016647","url":null,"abstract":"In this paper, we propose a novel quality adaptation mechanisms using Scalable Video Coding (SVC) over Peer-to-Peer Television (P2PTV) architecture in order to provide maximum quality level. Our algorithms are based on the idea of dividing quality adaptation into two stages. The first stage, Layer Level Initialization (LLI), allows adapting to static resources at the peers. After streaming starts, another set of algorithms called the Layer Level Adjustment (LLA) is used to adapt the H.264/SVC streams with available real time resources of P2PTV. LLA is evaluated and compared with Progressive Quality Adaptation (PQA) on Quality of PSNR metric using PSIM simulator. Performance evaluation demonstrates that LLA outperforms PQA and provides a significant improvement in the PSNR value in term of adapting the Quantization Parameter (QP) with instantaneous throughput available at the peer.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127185971","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 load balancing improvement of a data center by a hybrid algorithm in cloud computing","authors":"Y. Fahim, E. Benlahmar, E. Labriji, A. Eddaoui, Sara Ouahabi","doi":"10.1109/CIST.2014.7016608","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016608","url":null,"abstract":"The static load balancing algorithms, share the client query between virtual machines in a data center for the processing. But, there is a problem when it comes to the current load of each virtual machine. The dynamic algorithms as \"Efficient Response Time Load Balancer\" and \"Mini time processing load balancer\" prove to be a solution to respond to this problem. The advantage of these algorithms, before allocating a task, is that they search in the allocation tables on the virtual machine, with a metric which is quite inferior (be it the response time or the processing time). In this paper, we propose a new improvement of the load balancing by our hybrid algorithm, that takes into account, the current load of the virtual machine of a data center and the status of its tasks during execution, in order to overcome the problems caused by the static algorithms. The hybrid algorithm allows cloud service providers, to improve the performance, availability and maximize the use of virtual machines in their data centers.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123743251","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":"Conserving energy in WSN through clustering and power control","authors":"Z. Sadouq, Marouane El Mabrouk, M. Essaaidi","doi":"10.1109/CIST.2014.7016654","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016654","url":null,"abstract":"Wireless Sensor Networks raise a growing interest among industries and civil organizations where monitoring and recognition of physical phenomena are a priority. Their possible applications are extremely versatile and are expected to be intensely applied in different domains such health, agriculture, habitat monitoring, routing traffic, security and military. WSN represent a significant technology that attracts more and more considerable research attention in recent years. It has emerged as a result of recent advances in low-power digital and analog circuitry, low-power RF design and sensor technology. Wireless Sensor Networks consist of a large number of miniature devices called sensor nodes scattered over a geographical area called sensor field. These nodes are attempted to collect information or data which is forwarded through gateways called base stations. The communication scenario through sensor nodes leads to some amount of energy wasting. Therefore we need to design suitable techniques and protocols in order to optimize the energy consumption and increase the network lifetime. This paper proposes a novel energy-aware framework for a long-lived sensor network. Our framework is based on clustering architecture and achieves a good performance in terms of lifetime by minimizing energy consumption for in-network communications and balancing the energy load among all the nodes. In fact, it's an energy optimization approach based on cross-layer for wireless sensor networks, joining optimal design of the physical, medium access control, and routing layer. The framework enables the network to be dynamically reconfigured and efficiently using every node's energy and distributes management tasks to support the scalability of the management system in densely deployed sensor networks. This approach focuses on the computation of optimal transmission power, routing, and duty-cycle schedule that optimize the WSNs energy-efficiency and by the way, reduces node energy consumption and contributes to extending the lifetime of the entire network. The approach is evaluated using the NS2 simulator. Simulation results show that it is an energy-efficient approach and able to achieve significant performance improvement as well.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133401123","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":"System requirements prioritization based on AHP","authors":"Fadoua Fellir, Khalid Nafil, R. Touahni","doi":"10.1109/CIST.2014.7016612","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016612","url":null,"abstract":"When analyzing software requirements specification, the question of determining which tasks need to be implemented first arises often. In fact, in any software project, it's important to begin by identifying and defining priority tasks. This process is called software requirements prioritization. However in this process, the effect of NFRs on FRs to be prioritized has always been neglected, and all the requirements are prioritized independently. In this paper, we propose a new technique for software requirements prioritization taking account of the relationship of dependency between FR and NFR.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125901606","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":"An efficient short range wireless communication technology for wireless sensor network","authors":"A. Darif, Rachid Saadane, D. Aboutajdine","doi":"10.1109/CIST.2014.7016653","DOIUrl":"https://doi.org/10.1109/CIST.2014.7016653","url":null,"abstract":"Wireless Sensor Network (WSN) have been attracting increasing interest for supporting a new generation of ubiquitous computing systems with great potential for many applications. However, the communication paradigms in WSNs differ from the ones associated to traditional wireless networks, triggering the need for efficient wireless communication technology. Several wireless technologies have emerged ranging from short and medium distance. Bluetooth, ZigBee and Impulse Radio Ultra Wide Band (IR-UWB) are three popular short range wireless communications. Due to its various features and advantages (especially low power consumption and low complexity), IR-UWB is a very promising wireless communication technology for WSN. In this paper, we evaluate the main features and advantages of this new technology (IR-UWB) for WSN in terms of transmission time, data coding and power consumption compared to Bluetooth and ZigBee. To analyze and evaluate the main features and advantages of IR-UWB as an efficient short range wireless communication technology for WSN, we used MiXiM platform under OMNet++ simulator.","PeriodicalId":106483,"journal":{"name":"2014 Third IEEE International Colloquium in Information Science and Technology (CIST)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123140861","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}