Review of Information Engineering and Applications

Journal Information
ISSN / EISSN : 2412-3676 / 2409-6539
Published by: Pak Publishing Group (10.18488)
Total articles ≅ 30
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Review of Information Engineering and Applications, Volume 9, pp 12-22; https://doi.org/10.18488/79.v9i1.2967

Abstract:
This article provides information on the design of intelligent software systems. An intelligent software system refers to any software using artificial intelligence to analyze and interpret data or to communicate with systems and people. The article substantiates the relevance of the issue and highlights existing problems. The following factors are taken into consideration when assessing the problems of intelligent software system designing: easy data collection, low cost of developing intelligent systems, availability of experts and necessary resources (computers, program developers, software, etc.). The article also reports of related studies and identifies application areas. A conceptual model is developed for the design of intelligent software systems. The stages, components, directions, etc. indicated in the conceptual model for the design of intelligent software systems are studied and the characteristics of each are determined. Some examples of design types by the fields of activity are identified. The developed model can be used in the design of intelligent software systems related to any instrumental programming.
Ghazala Junejo, Sania Bhatti, Mohsin Memon
Review of Information Engineering and Applications, Volume 9, pp 1-11; https://doi.org/10.18488/79.v9i1.2908

Abstract:
Probabilistic model checking is frequently used to examine stochastic behavior. Model-checking is important for examining before extensive simulations, in differing fields, including computer communications, networks, security, and biology. In this work performance of histogram-based fuzzy image enhancement (HFIE Algorithm). The fuzzy contrast enhancement algorithm based on histograms is used to improve low contrast colored photographs. K is the contrast intensification parameter calculated from the histogram. The RGB image is transformed into HSV to preserve the chromatic information in the original image. To improve the image, only the V component is stretched using the M and K parameters. HFIE Algorithm is analyzed by developing its Discrete-time Markov Chain (DTMC) model in the Probabilistic Symbolic Model Checker (PRISM). First, a labeled transition diagram showing the functionality of HFIE Algorithm is constructed, then the HFIE Algorithm model using the PRISM tool is developed. The expected time to convert RGB image to HSV, probability of achieving enhanced RGB image, and expected SNR are measured with the help of properties.
Maria Arain, Mohsin Ali Memon, Sania Bhatti, Maryam Arain
Review of Information Engineering and Applications, Volume 6, pp 17-28; https://doi.org/10.18488/journal.79.2019.62.17.28

Thanh Chi Phan, Tien Minh Phan, Thanh Tu Ngo, Ninh Toan Van Duong
Review of Information Engineering and Applications, Volume 6, pp 37-45; https://doi.org/10.18488/journal.79.2019.62.37.45

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