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Coordinated Multi-Point (CoMP) systems appear as advanced promising strategies to improve user throughputs, especially in interference limited regions, at cell edge. Whether CoMP consists in jointly processing data from multiple transmission points, or in smartly coordinating the allocation of resources, CoMP implementation requires significant computation effort, signaling exchange that may impact...
In this study, we propose a hybrid knowledge-based framework for author name disambiguation. The developed approach helps incrementally identify authors of documents in data acquired from various sources. The nature of the problem calls for an orchestrated use of several methods; thus, the framework is composed of two levels. The first level contains a rule-based disambiguation algorithm. The second...
Hadoop has two components namely HDFS and MapReduce. Hadoop stores user data based on space utilization of datanodes on the cluster rather than the processing capability of the datanodes. Furthermore Hadoop runs in a heterogeneous environment as all datanodes may not be homogeneous. For these reasons, workload imbalances will occur when jobs run in a Hadoop cluster resulting in poor performance. In...
Network communities exist as clusters of nodes whose intra-edge connectivity is stronger than edge connectivities between nodes from different clusters. Among others, identification of hidden communities unveils shared functional roles in biological networks, and assigns individuals in social networks to consumer groups for more targeted advertising. This is a rather challenging task in large-size...
In batch systems monitoring information at the level of individual jobs is crucial to optimize resource utilization and prevent misusage. However, especially the usage of network resources is difficult to track. In order to understand usage patterns in modern computing clusters, a more detailed monitoring than existent solutions is required. A monitoring on job level leads to dynamic graphs of processes...
In real world, social networks are large scale, noisy and evolutionary. Communities are inherent characteristics of human interaction in social networks. Tracking evolutionary communities in dynamic social networks has become an increasingly important research topic. Several classic incremental clustering and evolutionary clustering algorithms have been proposed. But they all face a problem of controlling...
Crowd sensing is an approach to collect many samples of a phenomena of interest by distributing the sampling across a large number of individuals. While any one individual may not provide sufficient samples, aggregating samples across many individuals may provide high-quality and high-coverage measurements of a phenomena. In this work, we propose an incentive assignment mechanism for crowd sensing...
In this paper, a joint clustering and power control scheme for orthogonal frequency division multiple access (OFDMA) system is proposed in Device-to-Device networks. To improve the reliability of D2D communication, the proposed scheme consists of two phases. In the first phase, an interference management scheme is proposed based on clustering in order to guarantee the outage probability of D2D communications...
Radio Frequency IDentification (RFID) has enabled a wide range of automated tracking and monitoring applications. However, RFID tags share a wireless communication medium to deliver their information to the RFID reader which results in tag collisions and, hence, a significant energy consumption and delay in the interrogation process. Handling tag collisions is a challenging task because of the limited...
Recent work in mobile ad hoc network routing protocol development has demonstrated how global route discovery can be performed more efficiently by leveraging the known topology of each node's local surrounding area. In this paper, we proposed a hybrid routing scheme based on a dynamic clustering algorithm. The adaptive clustering algorithm deals with mobility, transmit power conservation and improving...
Component trees are important data structures for computation of connected attribute filters. Though some of the available algorithms are suitable for high-dynamic range, and in particular floating point data, none are suitable for computation of component trees for so-called second-generation, and mask-based connectivity. The latter allow generalization of the traditional notion of connected components,...
Since the energy constraint is one of the most important restrictions in wireless sensor networks so the issue of energy balancing is essential for prolonging the network lifetime. Hence this problem has been considered as a main challenge in the research of scientific communities. In the recent papers many algorithms have been proposed for routing on wireless sensor network to balance the energy...
Aiming at the bad distribution uniformity of traditional clustering algorithm (LEACH algorithm) in wireless sensor networks, the cluster head node within the cluster is the provider of services, and the algorithm does not consider the process of service failure (link failure, and so on), according to the greatest expectations of coverage principle, we put forward the MEXCLP algorithm for clustering,...
A web crawler is a relatively simple automated program or script that methodically scans or “crawls” through Internet pages to retrieval information from data. Alternative names for a web crawler include web spider, web robot, bot, crawler, and automatic indexer. There are many different uses for a web crawler. Their primary purpose is to collect data so that when Internet surfers enter a search term...
This paper presents a framework, based on Petri net and dynamic fuzzy clustering, to describe and to schedule task workflows in Grid environments. Computational Grids are intrinsically heterogeneous and dynamic systems, these features make difficult to build a resource scheduler that update itself automatically, following the resource evolution. In order to build a Grid scheduling system that automatically...
Coordinated control system in power plants is a complicated system with nonlinearity and randomcity. It is difficult to build the nonlinear models by the traditional method, so the whole optimal control for thermal processes is impossible. A kind of method of fuzzy identification based on improved T-S (Takagi-Sugeno) model is proposed in this paper. Firstly, the heuristic information and the multiplex...
This paper introduces the radio frequency identification (RFID) technology and the RFID anti-collision algorithms. The application mode of the RFID dynamic grouping anti-collision algorithm based on fuzzy c-means (FCM) clustering theory is stated. The selection of RFID tag grouping indexes is presented. The steps of the proposed anti-collision algorithm are developed. The simulation results show the...
As the information grows exponentially, it has become a new and basic requirement to reduce the querying area efficiently and accurately for information querying. This paper proposes a semantic distance based clustering algorithm for XML documents. It discusses the algorithm in two steps. Firstly, it forms some DTD clusters with all heterogeneous DTD documents by using the global semantic dictionary...
This paper studies the problem of weighting and selecting attributes and principal axes in fuzzy clustering. Its main contribution is a selection method that is not based on simply applying a threshold to computed feature weights, but directly assigns zero weights to features that are not informative enough. This has the important advantage that the clustering result that can be obtained on the selected...
This paper is devoted to the problem of Multi-face localization on embedded DSP image processing system. The application of face localization is becoming important in machine vision, systems video monitoring and security access system. Skin color acts as an important cue for segmentation, localization and tracking of face. We capture face image on DSP image processing system and build a skin-color...
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