Iris recognition is one of commonly employed biometric for 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
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
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
”Face Recognition Based on Haar Wavelet Transform and Principal Component Analysis via Levenberg-Marquardt Backpropagation Neural Network” in European Journal of Scientific Research,2010 pp. 25-31 [8] Kyungnam Kim, “Face Recognition using Principle Component”, Analysis” www.google.com [9] Kyungnam Kim, “Face Recognition using Principle Component”, Analysis” www.google.com [10] Lindsay I Smith, “A tutorial on Principal Components Analysis” February 26, 2002 [11] www.mathwork.com [12] www.google.com
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
Abstract Financial analysis and research plays a key role whenever we need to evaluate an investment. To evaluate a business for investment, an investor or a creditor would begin by looking at the financial statements, the balance sheet, the income statement and the cash flow statement. Out of the many ways to analyse these statements, the simplest and most commonly used one is the calculation of financial ratios. Financial ratios are simply mathematical comparisons of financial accounts. They are
THE COMPONENT MODEL OF READING: SIMPLE VIEW OF READING MADE A LITTLE MORE COMPLEX R. MALATESHA JOSHI and P. G. AARON The simple view of reading indicates that reading comprehension skill depends on decoding skills and linguistic comprehension (Gough & Tunmer, 1986; Hoover & Gough 1990). First study that analyzes the efficiency of the two formulas: R = D × C (Hoover and Gough, 1990) and R = D + C (Dreyer and Katz, 1992).The second study presents that analyzes by adding a factor or speed of processing
25 item questionnaire was used using the Likert Scale (Laureate Education, 2015). the SPSS software was used to analyze the data. Procedure Factor Analysis was conducted using the SPSS software with the aim to reduce the minimal number of factors, and to make easy interpretation of the questionnaire. A Parallel Analysis and SPSS Component Analysis was also conducted. Five items were then taken from each of the Five IPIP (Goldberg, 1993) scales “(Extraversion, Neuroticism, Openness, Agreeableness
This definition has three primary components that are essential to understanding the nature of qualitative research. The first component is that qualitative is interpretive. Qualitative data consists of words, pictures, clothing, documents, or other non-numerical information. During and after the data is collected, the research continually
Data Analysis Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data (Data Analysis, n.d.). An essential component of ensuring data integrity is the accurate and appropriate analysis of research findings; improper statistical analyses distort scientific findings, mislead casual readers and may negatively influence the public perception of research (Data Analysis, n.d.). By the time you get to
1 explains what Multivariate statistics is which is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable. The application of multivariate statistics is multivariate analysis. Multivariate statistics concerns understanding the different aims and background of each of the different forms of multivariate analysis, and how they relate to each other. The practical application of multivariate statistics to a particular problem may involve several
variables that may involve a particular outcome. It also uses a maximum likelihood estimate to analyze the relationship between independent and dependent variables. Logistic regression is used in health care to help with diagnoses, predictions, and predicting. Polit, D. (2010). Xiao, Griffin, Lake, & Moorman, (2010). used the methods nearest-neighbor and logistic regression analysis to make the early diagnosis of neonatal sepsis using continuous physiological monitoring of heart rate characteristics, and
about problems they know little about, resulting in ineffective policies. It can be challenging for policymakers to identify reliable sources of information to facilitate policy analysis. Relying on inaccurate information to develop policies is just as damaging to the policymaking process as failing to conduct policy analysis . -This step involves identifying which instruments of government are vital in the implementation of the policy. Examples of such instruments include legislation and programs
Each ICF component has multiple domains and categories at different levels and serves as units of classification (WHO, 2002). ICD-10 (the International Statistical Classification of Diseases and Related Health Problems) also belongs to the WHO family of international
King, Keohane, and Verba (1994) in “Designing Social Inquiry: Scientific Inference in Qualitative Research” attempt to unify political science under a single logic of inquiry based on quantitative regression analysis. While initially divisive even somewhat offensive to qualitative scholars, this debate culminated in greater scrutiny of qualitative methods and the delineation of the key advantages and limitations of both qualitative and quantitative methods. In the end, KKV’s attempt to unite the
that a particular skill area may not require as intensive intervention as those skills with a lower score. Furthermore, for the second reading, The Benefits of Skinner’s Analysis of Verbal Behavior for Children with Autism, stated t... ... middle of paper ... ...he other hand, I like how this approach emphasized a unit of analysis consisting of the relations between behavior, motivate and discriminative variables, and consequences. As well as how the five kid’s cases were treating differently in
Question 8: How do you teach fluency? Answer: We don’t teach it. If we read novels in class they have to read it out loud. We don’t teach it or score it. Analysis: Many people think fluency is just reading fast. Fluency is the ability to decode and comprehend at the same time. Some teachers think that you do not need to teach fluency because it will come naturally. In some instances yes, but to create a strong reader fluency needs to be taught. Mrs. Baughman says that her school does not teach
early intervention program for autism today is applied behavioral analysis (ABA) therapy. ABA is an evidence-based practice (EBP) meaning the practices of this intervention are based on documented, scientific evidence. The acronym ABA can be broken down into each letter to define this practice: applied refers to targeting behavior changes for real-life application, behavior is targeting real, observable, and measurable actions, and analysis is the collection of objective data to understand the effect
build more complex sentences. PECS is also highly beneficial to the child because it would lead him to become independent in communicating. (Special Learning, Inc. 2011). On the other hand, task analysis also helps in teaching non-verbal autism by using pictures in doing a specific task. Task analysis is a process where a task was broken down into its components. Tasks with many components may be divided into phases because the child might not be able to process all the task given to him (Autism Services
A comprehensive approach to literacy instruction has two components, reading and written expressive language. As students learn about reading, they reinforce ideas about written expressive language; furthermore, when students learn about written expressive language, they are reinforcing ideas about reading. Another factor to a comprehensive approach to literacy is reading. Reading is the process that involves the translation of symbols on a printed page into words and understands the word meaning