Research Cell: An International Journal of Engineering Sciences

Hossein Kardan Moghaddam ¹, Amir Rajaei ¹

Affiliations
1 Department of Computer Science, University of Mysore, Mysore, IN

Abstract

In this paper, the methodology of using fuzzy logic techniques is discussed to improve the performance and speed of computation which they needs huge calculation and comparison simultaneously. Through analysis of operating system, we have observed that some elements such as process management, storage management, file management, etc can be fuzzified. With use of this technique, we can do the optimization, through reducing the time complexity of operating system in the case of huge computation along with some amount of risk, by way of fuzzy logic. while using fuzzy logic in operating system, its task will be similar to the function of brain organism in human body. Therefore operating system will be efficient and economically under this situation.

Keywords

Critical Section, Operating System, Fuzzy Logic.

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Amir Rajaei ¹, Lalitha Rangarajan ¹

Affiliations
1 Department of Computer Science, University of Mysore, 570006, Mysore, IN

Abstract

In this paper, we present a method for classification of medical images. Wavelet features of different modalities of medical images are extracted. Then mean and standard deviation of extracted wavelet features are computed. We utilize K-Nearest Neighbor classifier to classify medical imaging modalities as X-ray, MRI and CT. Experiments are conducted on medical database containing 4,500 images. We achieve 99.96% classification accuracy which presents the efficiency of our proposed approach.

Keywords

Wavelet, Central Moments, K-Nearest Neighbor, Medical Image Classification.

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