Abstract
In higher educational institutions, the source code of the student's projects and their documentations should be submitted in both printed and electronic form. The electronic form of storage smooth the progress of computerized processing of the documents for purposes such as plagiarism detection and for future references. Considering the higher education system, there are several hundred theses added to the archive every year. The primary motivation for this paper was to reduce the storage requirements of the student's projects and their doc- mentation’s electronic archive in higher education institutions.
Highlights
In higher educational institutions like Universities and Colleges, Students are asked to submit their projects like source code of their development, project manuals and any appen- dixes in the form of Microsoft Word compatible documents such as DOC, DOCX and PHP,HTML,XML, PS,C, C++, C#, Java and PDF file format too
Some of the appendixes may be multimedia, in formats such as PNG, JPEG, or MPEG.3. To store all these documents needs a lot of storage spaces in the digital library of the institutions
Some of the algorithms are like Huff- man, arithmetic and LZ families of Gzip and Unix-compress, PPM compresses, LZW is used for text documents and for the purpose of image reduction the compression algorithm called Deflate used in PNG, MNG, and TIFF format files
Summary
In higher educational institutions like Universities and Colleges, Students are asked to submit their projects like source code of their development, project manuals and any appen- dixes in the form of Microsoft Word compatible documents such as DOC, DOCX and PHP,HTML,XML, PS ,C, C++, C#, Java and PDF file format too. Some of the appendixes may be multimedia, in formats such as PNG, JPEG, or MPEG.3 To store all these documents needs a lot of storage spaces in the digital library of the institutions. Since the documents occupy a large amount of space it becomes necessary to compress and store these heterogeneous types of data. The use of text compression algorithms, image compression algorithms and text transformation algorithms are explored to develop a tool for storing the student’s project documents and source code of their projects. This paper is structured as follows: Section II presents the existing heterogeneous types compression algorithms; Section III proposes the proposed tool to reduce the storage cost of the student's documents in the higher educational institutions.
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