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LepTree - A Genomics-Inspired Community Collaboration
Soowon Cho,Leptree team members 한국응용곤충학회 2010 한국응용곤충학회 학술대회논문집 Vol.2010 No.05
Lepidoptera includes over 160,000 species of butterflies and moths worldwide. They have enormous ecological and economic impact as pests, pollinators, and food sources for other organisms. We are using Assembling the Tree of Life (AToL) NSF funding t 1. generate a backbone phylogeny of the entire order, 2. date major subclade divergence by re-evaluating fossils (fossil project), 3. create a rich taxonomic resource (taxon template) and 4. create a glossary of morphological terms and associated images to synergize tree-building using morphological characters - all within a worldwide online venue. Our project goal is to galvanize the broader lepidopterist community towards constructing a comprehensive and fully resolved tree. Here we present the fossil project, taxon template and morphology projects.
A. K. M. Mahbubul Hossen,A. B. M. Moniruzzaman,Member, IEEE,Syed Akhter Hossain,Member, IEEE, ACM 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.5
Hadoop–a popular open-source implementation of MapReduce is widely used for the analysis of large datasets. The current Hadoop implementation assumes that computing nodes in a cluster are homogeneous in nature. In this paper we evaluate performance of Hadoop Platform and Oracle for Distributed Parallel Processing in large datasets. For evaluation, we implement a prototype of a virtual datacenter using distributed and parallel computing technology. The purpose of this paper is to reduce datacenter implementation cost using commodity hardware and provide high performance. Hadoop is installed on a commodity Linux cluster the distributed processing of large data sets across clusters of computers using distributed and parallel computing architecture. This paper also helps to explain about some new technology and framework which are open source; that can easily utilize those technologies for our complex data analysis which resembling structured, semi structured and non-structured data. Here we tried to demonstrate a performance comparison by executing some queries between distributed parallel computing system and traditional single computing system. For the simulation of the infrastructure Hadoop cluster has been used for distributed parallel processing and Oracle 11g is used for traditional single processing system. We prepare three virtual host for Hadoop cluster and a high-end hardware for Oracle 11g.
A Data Fusion Algorithm for Wireless Sensor Networks
Joy Iong-Zong Chen,Member,Chun-Jen Chen,Chin-Chung Yu 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
The scenario deployed with mobile sensors for tracking both of non-maneuvering and maneuvering targets traveling in the phenomena exploits with mobile WSN (wireless sensor networks) is simulated in this paper. In order to solve the complicated situation and reduce computation burden because of the multiple sensing event exists mobile WSN environments is proposed. Moreover, a variable structure model is established as an adaptive maneuvering compensator to solve both data association and sensor maneuvering problems simultaneously, that is, the detection algorithm for multi-mobile sensor tracking in WSN investigated too. The simulations of multi-mobile sensor tracking based on the proposed method are conducted for tracking the targets. Computer simulation results indicate that the approach successfully tracks multiple sensors and has good precision also.