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In the era of information explosion, the full-text search engine must index vast amounts of data as soon as possible to provide the best retrieval service. This paper firstly analyzes problems of the traditional stand-alone indexing, and how to solve them by distributed and parallel indexing. Then proposed a distributed indexing algorithm based on the Map/Reduce, which changed the structure of map...
The traditional water consumption models were mainly focused on the spatial scale of city or district, on the time scale of year or month, and with data precision of 0.1 m3. As the Internet of Thing (IoT) technology develops rapidly, the smart meters for water-supply are gradually popularized. In the year 2013, Guangzhou City of China established a demonstration area of smart water-supply, in which...
The recent next-generation sequencing machines generate sequences at an unprecedented rate, and a sequence is not short any more called read. The reference sequences which are aligned reads against are also increasingly large. Efficiently mapping large number of long sequences with big reference sequences poses a new challenge to sequence alignment. Sequence alignment algorithms become to match on...
Content-based image retrieval often uses the integration of various features. The characteristic dimensions are up to hundreds of dimensions. The capabilities for image representation", "storage", " management far exceed that of the database. Retrieval and matching of large-scale image are the urgent problems which need to be solved. To solve the construction of image indexing...
Microbes found on the skin are usually regarded as pathogens, potential pathogens or innocuous symbiotic organisms. Advances in microbiology and immunology are revising our understanding of the molecular mechanisms of microbial virulence and the specific events involved in the host-microbe interaction. A microbial community similarity function of skin sites was defined to analysis the topographical...
To sort efficiently Multisets in parallel on the heterogeneous multi-core clusters that the nodes have different amount of processing cores, different computing and communication capabilities and distinct size of main memory, a novel a periodic multi-round data distribution model is presented and a parallel sorting algorithm for Multisets is designed by using the characteristics of multi-threading...
Blog clustering is an important approach of web public opinion analysis. In this paper, an integrated graph-based approach for representing and clustering Chinese blogs by embedded sentiment is proposed. Graph-based representation and relevant clustering algorithm are applied. This graph-based blogs representation model considers not only sentiment words but also some structural information. Experimental...
This paper proposes a novel fast-semi-supervised-FCM algorithm (fsFCM) to fundamentally overcome the critical disadvantages of Pedrycz's semi-supervised-FCM(sFCM) ,i.e., degeneracy to classical FCM and slow convergence, particularly when applied in actual data set. Experimental results demonstrate that fsFCM can outperform sFCM in accuracy, speed and robustness for clustering. Moreover, it shows that...
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