International Journal of Computer Techniques IJCT

IJCT is a leading international online journal for publication of new ideas founded by engineers, academicians and corporate people. IJCT have prestigious academic journal reviewers from IITs, NITs, Microsoft, IBM, Infosys,TCS etc. The research results and fundamental advances are all aspects of computer science trends & technology and various engineering discipline. IJCT services to education professionals and researchers around world, especially those from the developing countries is a peer-reviewed, open access scholarly journal that publishes original research works and review articles in all areas of the computer science including computer networks, communications .IJCT IJCT Cover Page is a scholarly open access Online Journal which helps to academic person as well as student community. IJCT provides the academic community and industry for the submission of original research and applications related to Computer Science and Technologies. IJCT regularly releases the article bibliographies to university library databases from 2013. A complete list of such affiliations is maintained. The core of the vision IJCT is sharing the innovative ideas and current trends in computer science engineering. In every year majority of the research efforts get lost due to lack of effective scientific archival systems. It also provides a place for high opportunities for practitioners, corporate people, MPhil student, PhD students to present ongoing research and development in these areas.
IJCT invites authors for the guest editorship program for improving the journal quality and also sharing the innovative ideas. IJCT publishing special issues from various National Conference,International Conference,seminars, etc.

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Cloud computing is a powerful technology that are highly used to perform large-scale and complex ... more Cloud computing is a powerful technology that are highly used to perform large-scale and complex computing. It completely remove requirement to maintain expensive computing hardware, or software and large space. Massive growth has been observed in the generation of data or big data over the year through cloud computing. For processing and anlaysing result from that large data generally require lots of computational power and large infrastructure requirement. Hence there is a need to conjoined big data with cloud computing. Since this big data is important to analysis in order to extract insight knowledge from the data. Traditional association rule mining for frequent itemset which scan the dataset into main memory may become inconvenient when handling large dataset. Hence there is need of processing this dataset on multiple commodity machine using parallel technique of Map Reduce Framework. This paper gives overview of different big data mining algorithm used for processing dataset.

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The underwater image segmentation is a challenging field of research due to poor illumination con... more The underwater image segmentation is a challenging field of research due to poor illumination condition. Therefore this paper reviews the various issues and problems based on the existing researches in underwater segmentation field. Since underwater images have many uses in general purposes like in marine engineering, analysis and monitoring of underwater animals and plants and for monitoring of oil wells. Thus, underwater segmentation problem can be considered as fuzzy problem. Therefore this paper reviews the fuzzy clustering algorithm for image segmentation. Fuzzy C-Means clustering based underwater image segmentation methods separates the underwater objects using clustering and thresholding. It is found that fuzzy based approaches are not such efficient in underwater environment and thus not much explored. The efficiency of the fuzzy based methods various with different images and objects. Paper pointed out various challenges after reviewing the previous work. It is require improving the efficiency of the fuzzy based systems for segmenting the underwater images.

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