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personal recognition. In this paper, Single Value Decomposition (SVD), Principal Component Analysis (PCA), Automatic Feature Extraction (AFE) and Independent Component Analysis (ICA) are employed to extract the iris feature from a pattern named IrisPattern based on the iris image. The IrisPatterns are classified using a Feedforward Backpropagation Neural Network (BPNN) and Support Vector Machines (SVM) with Radial Basis Function (RBF) kernel with different dimensions and a comparative study is carried out
2.8. Multiscale Principal Component Analysis Multiscale PCA (MSPCA) combines the capability of PCA to extract the cross-correlation between the variables and wavelets to divide deterministic features from stochastic processes and approximately de-correlate the autocorrelation among the measurements. Figure 2.3 illustrates the MSPCA procedures. Figure 2.3. shows the MSPCA procedures. For combining the profit of PCA and wavelets, the capacity for each variable are decomposed to its wavelet coefficients
Crystallization is one of the oldest unit operations widely used in industries for the separation and purification of solid products. It is a popular operation in majority of industries, including pharmaceutical, food, microelectronics and bulk and fine chemicals. The production process of the majority of all solid products includes at least one crystallization step during the synthesis or purification of intermediates or the final product. Since crystallization is often the first step when the pure
Interpretation The graph 1shows the extraction of the components on the steep slope. The first 5 components are the part of steep slop. The components on the shallow slope contribute little to the solution. The components nine to nineteen are the part of shallow slop. The big drop occurs between the sixth and ninth components, so first 5 components are used for further analysis. The scree plot confirms the choice of six components. Table 5 Component Matrixa Component 1 2 3 4 5 6 7 8 9 Hours .612 -.243 .319
palm print has a great set of features such as principal lines, ridges and minutiae. Biometric verification refers to an automatic verification of a person based on some specific biometric features derived from his/her physiological and/or behavioral characteristics. A palm print refers to an image acquired of the palm region of the hand. The biometric use of palm prints uses ridge patterns to identify an individual. It is rich in its features: principal lines, wrinkles, ridges, singular points and
Security Issues in Cloud Computing Introduction The first computer ENIAC was invented by Charles Babbage in 18th century. But the real technological advancement of the computers came with the invention of the first four bit microprocessor in 1971. From 1971 till date, in the span of these 40+ years many operating systems came into existence (such as Windows 95, Windows 98, Windows 2000, Windows NT, Windows XP, Windows 7, Fedora, Mac, Redhat, Ubuntu, Kubuntu, Solaris etc.), many programming
The face has a significant role in social interaction, conveying the identity, expressing emotions and gender recognition etc. The ability of humans in recognizing a face is noteworthy as faces contains important information which helps to differentiate them from one another, therefore humans are able to recognize a large number of faces which they have learned during their life and recognize well-known faces at a quick look even after several years. Face recognition can be defined as the process
In literature, the concepts of organizational culture, identity and image have raised many discussions and some authors have particularly got involved on the subject. The principal ones were Albert & Whetten, Dutton & Dukerich , Fiol (Professor of Management), Hatch (Professor of Commerce) and Schultz (Professor at the intercultural communication and management department). Culture and image seem to be the ingredients of the organizational identity dynamics. The thing is that identity, culture and