English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The signature file method has been widely advocated as an efficient index scheme to handle new abdications demand. . ing a large volume of textual databases. Moreover, it has recently been extended to support multimedia data. In order to achieve good performance when handling multimedia data, the signature file approach has been required to support parallel database processing. Therefore, in this paper we propose a horizontally-divided parallel signature file (HPSF) method using extendible hashing and frame-slicing techniques. In addition, we also propose a heuristic processor allocation method so that we may assign a set of signatures to a given number of processors in a uniform way. To show the efficiency of HPSF, we evaluate the performance of HPSF in terms of retrieval time, insertion time, and storage overhead. Finally, we show from the performance results that HPSF outperforms the conventional parallel signature file methods regarding retrieval performance and dynamic operating measures used to combine both retrieval and insertion time.

A new parallel signature file method for efficient information retrieval