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Mutual information is approved to be an effective method to analyze the correlation of physicochemical parameters with the symptoms and the syndromes and has been widely used in many applications. But there are some difficulties and weaknesses, i.e. the assumption of continuous attributes according with normal distribution, which is a hidden problem in the calculation. In this paper, rough set and...
Fuzzy clustering is an important problem which is the subject of active research in several real world applications. Fuzzy c-means (FCM) algorithm is one of the most popular fuzzy clustering techniques because it is efficient, straightforward, and easy to implement. However FCM is sensitive to initialization and is easily trapped in local optima. Particle swarm optimization (PSO) is a stochastic global...
Q-learning is a machine learning technique that learns what to do and how to map states to actions to maximize rewards. Q-learning has been applied to various tasks such as foraging, soccer and prey-pursuing robots. In this paper, a simple foraging task has been considered to study the influences of the policies reported in the open literatures. A mobile robot is used to search and retrieve pucks...
Automatic cell sorting and isolation for recovery of such live cells, mostly microorganisms, is a challenging task. Lab-on-a-chip devices implemented as cell arrays are used for this purpose. For an abstract model of the problem, we can assume the cell array to be represented by a matrix where each cell can be any of the three types: empty, good (or desired) and bad (or undesired). The problem is...
Here we apply the graph-theoretic concept of betweenness centrality to a class of protein repeats, e.g., Armadillo (ARM) and HEAT. The Betweenness of a node represents how often a node is traversed on the shortest path between all pairs of nodes i, j in the network and thus gives the contribution of each node in the network. These repeats are not easily detectable at the sequence level because of...
Gene regulatory network gives the idea about the nature of interaction among the genes present in the DNA of a living species. Detection of gene regulatory network from gene expression data is of prime interest to the researchers. This paper considers modelling of the gene regulatory network identification problem using a fuzzy recurrent neural network, and obtains the interaction weights among the...
Motivated by the growing demand of accuracy and low computational time in optimizing functions in various fields of engineering, an approach has been presented using the technique of parallel computing. The parallelization has been carried out on one of the simplest and flexible optimization algorithms, namely the particle swarm optimization (PSO) algorithm. PSO is a stochastic population global optimizer...
Particle Swarm Optimization (PSO) algorithms represent a new approach for optimization. In this paper image enhancement is considered as an optimization problem and PSO is used to solve it. Image enhancement is mainly done by maximizing the information content of the enhanced image with intensity transformation function. In the present work a parameterized transformation function is used, which uses...
MicroRNAs (miRNAs) have been found in diverse organisms and play critical role in gene expression regulations of many essential cellular processes. Discovery of miRNAs and identification of their target genes are fundamental to the study of such regulatory circuits. To distinguish the real pre-miRNA from other stem loop hairpins with similar stem loop (pseudo pre-miRNA) is an important task in molecular...
In this article, we present a novel algorithm for measuring protein similarity based on their three dimensional structure (protein tertiary structure). The PROSIMA algorithm using suffix tress for discovering common parts of main-chains of all proteins appearing in current NCSB protein data bank (PDB). By identifying these common parts we build a vector model and next use classical information retrieval...
The paper describes the application of graph theoretic concepts to the dynamic cross-correlation data obtained from MD simulations of adenine riboswitch, in the absence and presence of adenine. This novel approach combines both community detection algorithms that support edge weights, and cliques. The effect of variations in the values of nearest neighbors (NN) and correlation coefficient threshold...
Solid tumor survives by the generation of micro-vessels around it. This phenomenon is known as angiogenesis. Angiogenesis is governed by two factors, namely Tumor Angiogenic Factor (TAF) secreted by the tumor cells and tissue Fibronectin (FNT) concentration in the extra-cellular space. These two factors help in mobilization of endothelial cells from nearby blood vessels. At the initial phase of angiogenesis,...
Events give important information about the behavior of a system in a summarized form. In the past, events have played an important role in breaking the functional requirements of the system in the ??event partitioning approach??. Our previous work has shown that events can be a starting point in object-oriented analysis of requirements. Every event triggers a use case in the system, hence should...
Searching for portfolios co-integrated with an index offers new opportunities in designing robust investment strategies. The problem of finding optimal index co-integrated portfolios that are maximally stationary is combinatorial. Indeed, given a basket of equities, the portfolio/index co-integration cannot be simply expressed in terms of equity/index co-integration. In this paper we investigate the...
The efficient modeling of unijunction transistor (UJT) is an burning issue in power industries. The available SPICE based model provides V-I characteristic of UJT. The output characteristic of UJT is nonlinear in nature and its modeling plays an important role in many applications where the output voltage of UJT drives any other device or circuit. In this paper a nonlinear device model is proposed...
Secure multicasting is used in a wide range of multicast applications such as commercial pay-per-view video multicast and pay-per view digital library. The multicast protocol used must be secure with copyright protection to prevent the users from leaking the information. This paper focuses on the problem of leaker identification using a swarm intelligence (Ant Colony Optimization) based approach....
Distributed evolutionary algorithms are of increasing interest and importance for three main reasons: (i) a well designed distributed evolutionary algorithm (dEA) can outperform a `standard' EA in terms of reliability, solution quality, and speed; (ii) they can (of course) be implemented on parallel hardware, and hence combine efficient utilization of parallel resources with very fast and reliable...
Assessing the level of river water quality periodically is important in ensuring that the river water is safe for consumption. This study investigates the level of water quality at Skudai River from year 2002 to 2006. Twenty parameters were identified and used in this analysis. These twenty parameters are recorded at nine monitoring stations located along the Skudai River. Multivariate statistical...
In designed experiments, we often encountered non-normal response variables. The data transformations (Transf) approached are frequently employed to deal with these problems. One has to realize that analyzing such data based on transformations posed many drawbacks. A better approach in dealing with these problems is by using the Generalized Linear Model (GLM). The problem becomes more complicated...
In this paper we discuss the results of morphological analysis of test objects in high-noise conditions and compare image reconstruction using two widely employed methods in computer tomography, namely Filtered Back Projection and Algebraic Reconstruction Technique. In our test tomography experiments, we used a laboratory X-ray source designed and manufactured at the Institute of Crystallography,...
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