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Jianghua Li
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DSDWA: A DCT-based Spatial Domain Digital Watermarking Algorithm Jianghua Li; Qing Cao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

DCT-based transformed domain watermarking algorithm has some flaws In the aspects of embedding position, embedding strength and embedding method, which have an important influence on watermarking embedding and watermarking extracting. In this paper we discussed these key techniques on DCT-based transformed domain watermarking algorithm and spatial domain digital watermarking algorithm, and their advantages and disadvantages respectively. We discovered the reason that error is generated during DCT and IDCT, and its influence on watermarking embedding and extracting, as well as the basic change rule of the pixel value matrix of the host image during watermarking embedding. On the basis of our analysis, a DCT-based spatial domain digital watermarking algorithm was proposed,which fully leveragedthe discovered change rule during watermarking embedding using DCT-based transformed domain algorithm. Experimental results showed that the algorithm had the advantages of spatial domain algorithm and transformed domain algorithm and overcamesome of their disadvantages. And itt was superior to DCT-base transformed domain watermarking algorithm. In addition, our work has the certain reference significance to other fields using DCT and IDCT. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3323
DSRM: An Ontology Driven Domain Scientific Data Retrieval Model Jianghua Li; Qing Cao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the development of information technology, a large number of domain scientific data have been accumulated with the characteristics of distribution and heterogeneity. It has important significance to acquire exact scientific data from multiple data sources for cooperative research. The existing data integration and information retrieval techniques cannot solve the problems of data semantic heterogeneity and retrieval inaccuracy very well. In this paper, an ontology driven domain scientific data retrieval model is proposed, which uses domain ontology to describe user query and queried data. User query is posed on domain ontology schema. Data retrieval for distributed and heterogeneous data sources is realized through constructing mapping relations between them and domain ontologyschema. We developed a prototype for material scientific data, and the experimental results show that the proposed model is effective. Our model can also provide some means of use for reference to other domain scientific data retrieval. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3860
Co-Authors Qing Cao