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Expert finding is an important technique to obtain the user authority ranking in community question answering (CQA) websites. ZhihuRank is a topic-sensitive expert finding algorithm, which is based on both LDA and PageRank. Currently, with the amount of participants and documents increasing rapidly in CQA websites, how to parallel expert finding algorithms for big data analysis has received significant...
Aiming at the problem of indoor navigation of family nursing robot, this paper proposes a dynamic window algorithm that the service robot could plan the optimal path autonomously and realize the obstacle avoidance quickly in the indoor dynamic environment. Firstly, the basic principle of the dynamic window method is introduced, and then the navigation system of the service robot's indoor dynamic environment...
The adaptability of the classical top-k frequent item sets mining algorithms is unsatisfied when being applied to some large datasets with both large scales of transactions and items. In this work, an algorithm called SIBA (sampling, improved bat algorithm (BA)) is proposed to solve this problem. SIBA applies BA and improves it by cloud model to search frequent item sets from a large number of items...
The increasing popularity of online social networks (OS-Ns) has been transforming the dissemination pattern of social video contents. Considering the unique features of social videos, e.g., huge volume, long-tailed, and short length, how to utilize the information propagation pattern to improve the efficiency of content distribution for social videos attracts more and more attention. In this paper,...
Recently, discovering dynamic communities has become an increasingly important task. Many algorithms have been proposed, most of which only use linkage structure. However, rich information is encoded in the content of social networks such as node content and edge content, which is essential to discover topically meaningful communities. Therefore, to detect both structurally and topically meaningful...
In this paper, we experimentally investigated a new reinforcement learning based robot shared control algorithm for walking-aid robot. To autonomously adapt to different user operation habits and motor ability, robot dynamically adjusted user control weight by proposed algorithm. The weight adjustment is performed online based on user control efficiency, current robot walking state and environment...
Support vector clustering (SVC) is a nonparametric clustering algorithm inspired by support vector machines. Incremental support vector clustering (ISVC) extends the SVC algorithm to an incremental version for the case of large-scale datasets with the assumption of no outliers. In order to tackle the problem of clustering large-scale noisy datasets, this paper proposes the algorithm termed incremental...
Particle tracing for streamline and path line generation is a common method of visualizing vector fields in scientific data, but it is difficult to parallelize efficiently because of demanding and widely varying computational and communication loads. In this paper we scale parallel particle tracing for visualizing steady and unsteady flow fields well beyond previously published results. We configure...
With the further research for Web Spider in Search Engine, innovative design of the original web page storage format is presented to achieve both savings in physical storage space and increase the efficiency of procedures for the operation of I/O; In order to distinguish different web pages and evaluate the importance of data in webpages, a definition of UrlRank algorithm is presented; Storing data...
In a virtual execution environment, dynamic computing resource adjustment technique, configuring the computing resource of virtual machines automatically according to the actual loads generated by applications, is often adopted in virtual machine monitor to improve the resource utilization rate. Traditionally, the simple Additive Increase Subtractive Decrease (AISD) scheme is used as an adjusting...
The side conditions of HLA simulation system typically are that the simulation function of federate is in the collar of FOM in the special federation. There are ways to work around these deficiencies by importing BOM idea. However, applying BOM into HLA simulation systems increases the granularity and level of simulation, which enhances the difficulties of maintain the load balance. Consequently,...
The Steiner tree problem (STP) in graphs is a special but essential case of multiple destination routing (MDR) problems, which focuses on finding a minimal spanning tree (MST) that connecting the source and destinations. It has been proved to be an NP-hard problem. Particle swarm optimization (PSO) is an important swarm intelligent algorithm with fast convergence speed and easy implementation. In...
An efficient computational method is presented for the synthesis of singular optimal control in this paper. The proposed numerical procedure consists of two phases: initialization and refinement. In the initialization phase, the original singular optimal contrl (SOC) problem is converted into nonsingular one by adding to the performance index a perturbed (or weighted) energy term. The resultant boundary...
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