Mamoru Kojima

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This paper proposes a method of subsequence matching of plasma waveforms. The proposed method divides a waveform into fine-grained segments. The similar segments are grouped into a segment group. A multi-dimensional index is used for quick retrieval. Grouping segments could save the amount of the index. In the retrieval, a sequence of segments, which is(More)
This paper proposes a parallel indexing scheme of a large amount of data in order to resolve the issues about time limitation. Three kinds of computing-nodes are introduced. These are reception-nodes, representative-nodes, and normalnodes. A reception-node receives data for insertion. A representative-node receives queries. Normal-nodes retrieve data from(More)
This paper proposes two methods of indexing a large amount of data in order to resolve the issues about time limitation and size limitation. One is the method that an index is created one by one. When the size of an index reaches the limitation, a new index is created. The other is the method that several indexes are created in advance. Data are inserted(More)
This paper uses Postgre SQL, a database management system, in the data management of the similarity retrieval of subsequences of waveforms. By using Postgre SQL, the management of data could become easy, and a multi-dimensional index structure named the R tree could be used. This paper examines the parallel processing of the similarity retrieval by dividing(More)
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