Dr James Parkinson first defined the Parkinson's Disease (PD) as "shaking palsy" in 1817. PD is one of the most common neurological syndromes of the central nervous system. It is a serious disease targeting aged persons above 60 years of age. PD is identified as a brain disorder [1] that causes the nerve cells to be lost or impaired. These impaired or lost nerve cells will stop the dopamine fluid production in the area of Substantia Nigra. Dopamine is an essential chemical fluid in the brain, which makes nerve cells passes the message to other nerve cells. Due to the lack of dopamine, information has to pass to another nerve cell to be stopped.
Recent development in multimedia data increases the role of digital images in many applications. As a result,content based image authentication with an aid of feature extraction techniques has a great impact. It suffers a serious drawback of increased computational complexity due to the availability of irrelevant and interdependent features, which contains no useful information about the image. In the proposed authentication system to decrease the complexity, not all haralick features are used but only the most influencing features that contain critical information about the image is used in hash generation. Feature selection based on chaotic genetic feature selection optimization algorithm is used to optimize the haralick features without compromising the accuracy of the system. A comparison on the system performance with all the features and with optimized features is performed. Experiment results shows resultsusing optimized features are similar to the results of using all the features..
In this paper we consider the formally symmetric differential expression M[·] of any order (odd or even) ≥ 2. We characterise the dimension of the quotient spaceis the sesquilinear form in f and g associated with M. These results generalise the wellknown theorem that M is in the limit-point case at ∞ if and only if [ f g](∞) = 0 for every f , g ∈ the maximal domain ∆ associated with M.Keywords. Limit classification, minimal and maximal closed operators; symmetric operators, self-adjoint operators; quotient space D(T max )/D(T min ).
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