Journal of Intelligent & Fuzzy Systems - Volume 32, issue 4

Authors: Vidyadharan, Divya S. | Thampi, Sabu M.

Article Type: Research Article

Abstract: Detecting forged digital image has been an active research area in recent times. Tampering introduces artifacts within images that differentiate tampered images from authentic images. Forgery detection techniques try to identify these artifacts by analyzing differences in the texture properties of the image. In this paper, we propose a multi-texture description based method to detect tampering. Different texture descriptors considered are Local Binary Pattern, Local Phase Quantization, Binary Statistical Image Features and Binary Gabor Pattern. The method captures subtle texture variations at different scales and orientation using Steerable Pyramid Transform (SPT) decomposition of image. The different texture descriptors extracted from …each subband image after SPT decomposition is combined to form the multi-texture representation. Then, ReliefF feature selection method is applied on this high dimensional multi-texture representation to generate a compact representation. This compact multi-texture representation is classified using Random Forest classifier. We have evaluated the performance of individual texture descriptors and multiple textures in detecting image forgery. Experimental results show that the compact multi-texture description has improved detection accuracy. Show more

Keywords: Image forgery detection, multi-texture description, image tampering detection

DOI: 10.3233/JIFS-169261

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 4, pp. 3177-3188, 2017

Authors: Sarkhel, Ritesh | Chowdhury, Tithi Mitra | Das, Mayuk | Das, Nibaran | Nasipuri, Mita

Article Type: Research Article

Abstract: Evolutionary Algorithms (EA) are robust optimization approaches which have been successfully applied to a wide range of problems. However, these well-established metaheuristic strategies are computationally expensive because of their slow convergence rate. Opposition Based Learning (OBL) theory has managed to alleviate this problem to some extent. Through simultaneous consideration of estimates and counter estimates of a candidate solution within a definite search space, better approximation of the candidate solution can be achieved. Although it addresses the slow convergence rate to some extent, it is far from alleviating it completely. The present work proposes a novel approach towards improving the performance …of OBL theory by allowing the exploration of a larger search space when computing the candidate solution. Instead of considering all the components of the candidate solution simultaneously, the proposed method considers each of component individually and attempts to find the best possible combination by using a metaheuristic technique. In the present work, this improved Opposition learning theory has been integrated with the classical HS algorithm, to accelerate its convergence rate. A comparative analysis of the proposed method against classical Opposition Based Learning has been performed on a comprehensive set of benchmark functions to prove its superior performance. Show more

Keywords: Evolutionary Algorithms, Opposition Based Learning, Harmony Search algorithm, optimization

DOI: 10.3233/JIFS-169262

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 4, pp. 3189-3199, 2017

Authors: Tsuya, Kohei | Takaya, Mayumi | Yamamura, Akihiro

Article Type: Research Article

Abstract: The firefly algorithm is applied to the uncapacitated facility location problem which is a well known optimization problem. The light absorption coefficient parameter γ of the firefly algorithm is examined to obtain better performance and suitable values of γ are explored for the uncapacitated facility location problem. Effectiveness of local search in the firefly algorithm is also investigated. In addition, the firefly algorithm equipped with local search is compared with the artificial bee colony algorithm with respect to average relative percent error and hit to optimum rate.

Keywords: Metaheuristic, swarm intelligence, firefly algorithm, artificial bee colony algorithm, uncapacitated facility location problem

DOI: 10.3233/JIFS-169263

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 4, pp. 3201-3208, 2017

Authors: Nair, Jyothisha J. | Thomas, Susanna

Article Type: Research Article

Abstract: Graphs are considered to be one of the best studied data structures in discrete mathematics and computer science. Hence, data mining on graphs has become quite popular in the past few years. The problem of finding frequent itemsets in conventional data mining on transactional databases, thus transformed to the discovery of subgraphs that frequently occur in the graph dataset containing either single graph or multiple graphs. Most of the existing algorithms in the field of frequent subgraph discovery adopts an Apriori approach based on generation of candidate set and test approach. The problem with this approach is the costlier candidate …set generation, particularly when there exist more number of large subgraphs. The research goals in frequent subgraph discovery are to evolve (i) mechanisms that can effectively generate candidate subgraphs excluding duplicates and (ii) mechanisms that find best processing techniques that generate only necessary candidate subgraphs in order to discover the useful and desired frequent subgraphs. In this paper, a two phase approach is proposed by integrating Apriori algorithm on graphs to frequent subgraph (FS) tree to discover frequent subgraphs in graph datasets. Show more

Keywords: Frequent subgraph mining, Apriori, graph mining, frequent subgraph tree

DOI: 10.3233/JIFS-169264

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 4, pp. 3209-3219, 2017

Authors: Abhishek, S.N. | Balakirithikaa, R.B. | Madhan, C. | Vasudevan, Shriram K.

Article Type: Research Article

Abstract: Life is nothing less than a hell without any entertainment in it. Thanks to mobile phones that let us entertain ourselves on the go. Mobile phones that are being launched nowadays, come with super impressive features that revolve around entertainment. Mobile manufacturers know it pretty well that entertainment has become an indispensable part of human life in the current era. This is the reason why mobile phones are nothing but a complete portable entertainment package. The main source of portable entertainment is music. A very common but irritating problem faced by the youngsters of this era is missing their favorite …beat, or pausing a song frequently while conversing with someone. This seems to be negligible, but irritates most as they have to rewind the song or even restart it from beginning for the single beat. So think about a system that stops playing when the buds are taken off, and automatically continues when it is placed back. This seems to be simple but it is not so. This will change the whole experience of enjoying media, making a new mile stone in the entertainment world. This system will bring a new generation of media players that not only allows us to listen to our favorite music whenever we want but also allows automatic access without having to unlock our phones every now and then for the same. Show more

Keywords: Earphone, intelligent earphones, auto pause, auto play, ear plug controller

DOI: 10.3233/JIFS-169265

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 4, pp. 3221-3228, 2017