Research Cell: An International Journal of Engineering Sciences

Dharminder Kumar ¹, Vinay Chopra ¹

Affiliations
1 Department of Computer Science & Engg, D.A.V. I.E.T., Jalandhar, Punjab, IN

Abstract

Bacteria Foraging Optimization a nature-inspired optimization has drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application domains. Color image quantization is an important process of representing true color images using a small number of colors. Existing color reduction techniques tend to alter image color structure and distribution. Thus the researchers are always finding alternative strategies for color quantization. In cylindrical color spaces like HSI, color is represented by hue, saturation and intensity. These components are closer to the way human perceives and describes color. Hue, saturation and intensity can also reveal image features that are not so obvious in other color spaces. The objective of this research work, is to design an algorithm for Image Quantization using HSI color space based on Bacteria Foraging Optimization. To implement and test the proposed algorithm. To compare the designed algorithm with other quantization techniques. The conducted experiments indicate that proposed algorithm generally results in a significant improvement of image quality compared to other well-known approaches.

Keywords

Color Reduction, Bacteria Foraging Optimization, HSI Color Space, Euclidean Distance, Swarm Intelligence.

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Amandeep Kaur ¹, Vinay Chopra ¹

Affiliations
1 DAV Institute of Engineering. & Technology, Jalandhar, IN

Abstract

Designing of Fuzzy model for optimizing the strategic decision can be very helpful to protect the failures in the system and software. The systems and software development industry is characterized by a paradigm of project failure. One of the known contributing causes of these project failures is poor requirements engineering and management, poor design strategy which has been repeatedly and widely issued and documented. The above problems could be easily countered by the Fuzzy logic, because fuzzy logic has ability to deal with uncertainty and multi valued logic This paper explains the technique for tracking the progress of the software project being built and the technique for selecting an optimal PERT chart developed by using fuzzy logic and it also explains the important variables that effects the strategic decisions connected with the software project.

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Sandeep Kad ¹, Vinay Chopra ²

Affiliations
1 Department of Information Technology, Amritsar College of Engg. & Technology, Amritsar, Punjab, IN
2 Department of Computer Science, DAV Institute of Engg. & Technology, Jalandhar, Punjab,, IN

Abstract

Software development effort estimation is among one of the most challenging jobs that software developers need to perform. Due to the lack of information during the early stages of software development, the developers often express their inability to estimate accurately the effort, cost and schedule of the software under consideration. This inaccuracy in estimation leads to monetary losses as well delay in delivery of the product. In this paper, a soft computing based technique is explored to overcome the problems of uncertainty and imprecision resulting in improved process of software development effort estimation. In doing so, fuzzy logic is applied to different parameters of Constructive Cost Model (COCOMO) II. Results shows that the value of MMRE (Mean of Magnitude of Relative Error) and pred obtained by means of applying fuzzy logic is much better than of MMRE of algorithmic model. The validation of results is carried out on COCOMO dataset.

Keywords

Software Cost Estimation, COCOMO, Soft Computing, Fuzzy Logic.

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