Services computing is an interdisciplinary subject that devotes to bridging the gap between business services and IT services. It is recognized that Requirements engineering is fundamental in implementing the service ...
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Employing a parallel crawler as a multi processes crawler causes different issues of concern in comparison to applying a single-process crawler. These issues impact on achieving the results with higher or even the sam...
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Employing a parallel crawler as a multi processes crawler causes different issues of concern in comparison to applying a single-process crawler. These issues impact on achieving the results with higher or even the same quality from a parallel crawler in comparison to a centralized one. Existed parallel crawlers' architectures employ link dependant metrics - such as Backlink count or PageRank - for URL importance determination in order to prioritize the queue of each process. Then the specific number of the most important pages is sent to the index section of the crawler for further processing on their content. Application of metrics with link dependent nature causes considerable overhead on the overall parallel crawler resulted from the link information exchange among different processes. In this paper we propose the application of clickstream analysis as a link independent Web page importance metric in a parallel crawler. Our approach includes proposing an algorithm for a balanced performance of different processes within a parallel crawler which results in the discovery of higher quality pages by the overall parallel crawler with less overhead in comparison to a centralized crawler which employs link dependant metrics of importance.
To realize real-time goal-oriented navigation for a mobile robot in unpredictable environments, a fuzzy reactive system is proposed in this paper. Besides the establishment of the fuzzy logic system, this paper focuse...
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To realize real-time goal-oriented navigation for a mobile robot in unpredictable environments, a fuzzy reactive system is proposed in this paper. Besides the establishment of the fuzzy logic system, this paper focuses on the the physical meaning of the parameters in the fuzzy system, and proposes a systematic method to automatically suppress redundant fuzzy rules from the rule base. Under the control of the proposed system with automatic redundant fuzzy rule removal, the mobile robot can preferably avoid obstacles autonomously, and generate reasonable trajectories toward the target in various situations. The effectiveness and efficiency of the proposed approach are demonstrated by simulation and experimental studies.
The prediction of gene function from genome sequences is one of the main issues in Bioinformatics. Most computational approaches are based on the similarity between sequences to infer gene function. However, the avail...
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The prediction of gene function from genome sequences is one of the main issues in Bioinformatics. Most computational approaches are based on the similarity between sequences to infer gene function. However, the availability of several fully sequenced genomes has enabled alternative approaches, such as phylogenetic profiles. Phylogenetic profiles are vectors which indicate the presence or absence of a gene in other genomes. The main concept of phylogenetic profiles is that proteins participating in a common structural complex or metabolic pathway are likely to evolve in a correlated fashion. In this paper, a multi level clustering algorithm of phylogenetic profiles is presented, which aims to detect inter- and intra-genome gene clusters.
Multi-robot systems have drawn the attention of many different research communities, such as physics, electronics, control, computer science, mathematics, and biology. Motivated by the growing popularity of multi-robo...
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Multi-robot systems have drawn the attention of many different research communities, such as physics, electronics, control, computer science, mathematics, and biology. Motivated by the growing popularity of multi-robot system and related coordination approaches, this paper surveys and analyzes the relevant literature, including six classification dimensions: system architectures, communication and robotic sensor networks, swarm intelligence and swarm robotics, cooperation among robots, applications, and research projects.
Tracking data provenance (or lineage) has become increasingly important in many large-scale applications, and a few methods have been proposed to record data provenance recently. However, most of previous works mainly...
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Tracking data provenance (or lineage) has become increasingly important in many large-scale applications, and a few methods have been proposed to record data provenance recently. However, most of previous works mainly focus on deterministic databases except Trio style lineage that aims at probabilistic databases, which is much more challenging because of the exponential growth of possible world instances and dependence among intermediate tuples. This paper proposes an approach, named PHP-tree, to model how-provenance upon probabilistic databases. we also show how to evaluate probability based on a PHP-tree. Compared with Trio style lineage, our approach is independent of intermediate results and can calculate the probability both cases of restricted and complete propagation of data provenance. Detailed experimental results show the effectiveness, efficiency and scalability of our proposed model.
This paper is devoted to the non-fragile controller design for the trajectory tracking of nonholonomic mobile robots. Using non-linear state feedback and proper coordinate transformation, the model of nonholonomic mob...
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This paper considers the model matching problem of multiple-input multiple-output(MIMO) systems with multiple time delays. The reference model is chosen to be the diagonal delay transfer function matrix. A controller ...
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This paper addresses the problem of tracking multiple targets using multi-sensor bearings-only measurements in the presence of noise and clutter. The Rao-Blackwellized Monte Carlo data association (RBMCDA) scheme and ...
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ISBN:
(纸本)9787894631046
This paper addresses the problem of tracking multiple targets using multi-sensor bearings-only measurements in the presence of noise and clutter. The Rao-Blackwellized Monte Carlo data association (RBMCDA) scheme and the unscented Kalman filter (UKF) are applied to solve the problems of uncertain association and nonlinear filtering, respectively. In particular, the sensors are assumed to move back and forth alternately. Simulation results show that the filtering algorithm produces reliable position estimates under single and multiple tracking scenarios.
This paper is devoted to the resampling problem of particle filters. We firstly demonstrate the performance of classical Resampling algorithm (also called as systematic resampling algorithm) using a novel metaphor, th...
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