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In this paper, a new method of arrhythmia classification is proposed. At first we extract twenty two features from electrocardiogram signal. We propose a novel classification system based on genetic algorithm to improve the generalization performance of the SVM classifier. For this purpose, we have optimized the SVM classifier design by searching for the best value of the parameters that tune its...
Curse of dimensionality is a major difficulty with the classic optimization methods for high dimensional applications in which the problem size grows rapidly and mostly exponential with the number of space. In this work we present a simple yet effective multi-agent approach to apply distributed particle swarm optimization to meet such demand. Lip detection in color images, as a high-dimensional problem,...
This research is on presenting a new approach for cardiac arrhythmia disease classification. The proposed method combines both support vector machine (SVM) and genetic algorithm approaches. First, twenty two features from electrocardiogram signal are extracted. These features are obtained semiautomatically from time-voltage of R, S, T, P, Q features of an Electro Cardiagram signals. Genetic algorithm...
Lip detection is used in many applications such as face detection and lips reading. We have proposed a novel approach for detecting lip using particle swarm optimization (PSO). PSO is used to obtain an optimized map. The image is mapped to Y CbCr color space. The main idea of the method is based on that lip has the high values of Cr and low values of Cb. The proposed algorithm has been examined on...
As processing power becomes cheaper and more available by using cluster of computers, the need for parallel algorithms which can harness this computing potentials is increasing. Eye detection is an application of parallel algorithms. Detecting eyes in images plays an important role in many applications such as face detection/recognition. In addition, its widespread usage as a part of series applications...
Confidentiality is one of the most nontrivial issues in secrecy of group communication. In order to satisfy confidentiality, symmetric cryptography must be exploited. All symmetric algorithms require a shared key between the members of group. High frequency in the number of joins and leaves of members can cause huge number of messages of data between authorized group members. Although hierarchical...
In many application suck as face detection or recognition a major phase would be eye detection. In addition, its wide use as a part of serious applications, made it an important task should be worked on. Using color characteristics is a useful way to detect eyes. We use special color space, YCbCr which its components give us worthwhile information about eyes. We make two maps according to its components...
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