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Ukpe, Kufre Christopher
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Neuroscience

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APPLICATION OF INTERVAL TYPE-2 FUZZY LOGIC ALGORITHM FOR QOE EVALUATION IN WIRELESS COMMUNICATION NETWORKS Ukpe, Kufre Christopher; Ojekudo, Nathaniel Akpofure
International Journal of Human Computing Studies Vol. 3 No. 1 (2021): IJHCS
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v3i1.1828

Abstract

In this work, an application of interval type-2 fuzzy logic algorithm for evaluation of quality of service is proposed. The work uses delay, jitter, and packet loss as input parameters to evaluate the quality of service. The membership function (MF) terms, MF partitions, universe of discourse and linguistic variables is collected for use in designing the fuzzy logic model. The model was implemented using the Java programming language on Netbeans IDE. The implemented model was tested using 15 datapoints from the input module. The results of the system shows that when there is low rate (69) of network DELAY, low rate (10) of JITTER, and high rate (92) of PACKET LOSS then quality of service will not be so good (Moderate quality of service) (61% quality of service).
DIGITIZED PAINTINGS FOR CRACK DETECTION AND RESTORATION USING MEDIAN FILTER AND THRESHOLD ALGORITHM Ukpe, Kufre Christopher; Ledisi Giok Kabari
International Journal of Human Computing Studies Vol. 3 No. 4 (2021): IJHCS
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v3i4.1976

Abstract

Due to a variety of factors such as long time storage, dry environment, and volatilization of painting,some cracks and stains may appear on the surface of the oil paintings. These tend to seriously affect the value of the paintings. Image restoration techniques are proving to be of great help in the analysis and documentation of our cultural heritage. Digital image restoration techniques provide a multitude of choices for improving the visual quality of images. In this work, we propose a multi-dimensional median filter and threshold algorithm for detection and removal of cracks in digital images. The work conducts an analysis of multi-dimensional median filter and threshold algorithm for effective restoration of cracks in digitized painting using the Java programming language version 8.0. To demonstrate the usefulness of this technique, cracked images of different resolution are collected for use in testing the efficiency of these models. The results show a remarkable difference between the original and enhanced images. This work is implemented using the Java programming language on Netbeans IDE.
Co-Authors Ledisi Giok Kabari Ojekudo, Nathaniel Akpofure