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Design and Implementation of a Data Compression Software
Content Structure of Design and Implementation of a Data Compression Software
The abstract contains the research problem, the objectives, methodology, results, and recommendations
- Chapter one of this thesis or project materials contains the background to the study, the research problem, the research questions, research objectives, research hypotheses, significance of the study, the scope of the study, organization of the study, and the operational definition of terms.
- Chapter two contains relevant literature on the issue under investigation. The chapter is divided into five parts which are the conceptual review, theoretical review, empirical review, conceptual framework, and gaps in research
- Chapter three contains the research design, study area, population, sample size and sampling technique, validity, reliability, source of data, operationalization of variables, research models, and data analysis method
- Chapter four contains the data analysis and the discussion of the findings
- Chapter five contains the summary of findings, conclusions, recommendations, contributions to knowledge, and recommendations for further studies.
- References: The references are in APA
- Questionnaire.
Abstract Of Design and Implementation of a Data Compression Software
In recent times, there has been a great need driven towards the maximizing of data transfer between communication terminals thereby making efficient use of network bandwidth and disk space. Compression is the process used to reduce the physical size of a block of information. Data encoding is the term used to refer to algorithms that perform compression. Data compression is a type of data encoding. Doyle and Carlson (2000) write that data compression “has one of the most simple and elegant design theories in all engineering”. A simple characterization of data is that it involves transforming a string of characters in some representation (such as ASCII) into a new string (0f bits for example) which contains the same information, but whose length is as small as possible. Data compression squeezes data so it requires less disk space storage, less bandwidth on a data transmission channel. Communication equipment’s like modems, bridges and routers use compression scheme to improve throughput over standard leased lines or phone lines.
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