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Patel Kalpana Dhanji
AMET University

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Fuzzy Cognitive Maps Based Game Balancing System in Real Time Patel Kalpana Dhanji; Santhosh Kumar Singh
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 2: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i2.pp335-341

Abstract

Players may stop playing a picked amusement sooner than anticipated for some reasons. A standout amongst the most vital is identified with the way amusement planners and designers adjust diversion challenge levels. Practically speaking, players have distinctive ability levels and may discover common foreordained troublesome levels as too simple or too hard, getting to be noticeably disappointed or exhausted. The outcome might be diminished inspiration to continue playing the diversion, which implies decreased engagement. A way to deal with alleviate this issue is dynamic amusement trouble adjusting, which is a procedure that alters diversion play parameters progressively as indicated by the present player aptitude level. In this paper we propose a constant answer for DGB utilizing Evolutionary Fuzzy Cognitive Maps, for progressively adjusting a diversion trouble, giving a very much adjusted level of test to the player. Transformative Fuzzy Cognitive Maps depend on ideas that speak to setting diversion factors and are connected by fluffy and probabilistic causal connections that can be refreshed progressively. We talk about a few re-enactment tries that utilization our answer in a runner sort amusement to make all the more captivating and dynamic diversion encounters.
An Image Fusion Method Based On Framelet Transform Patel Kalpana Dhanji; Santhosh Kumar Singh
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp60-63

Abstract

Image fusion is the process of combining relevant information from two or more images into a single image. The resulting image contains more information as compared to individual images. In this system, we are proposing a new image fusion method by using a technique called framelet transform. This method consists of two phases; First is the frame separation where the pre-processing and Selection of frames for both the images occurs and the second phase is the Frame fusion that is done by inverse framelet transform method is done from which a fused output images will be formed that will be containing both the information of the input images (CT & MRI images).
Co-Authors Santhosh Kumar Singh Santhosh Kumar Singh