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The Role of Density Gradient in Liquid Rocket...
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Experimental and analytical studies were conducted to investigate key physical mechanisms responsible for flame-acoustic coupling during the onset of acoustically driven combustion instabilities in liquid rocket engines (LREs). Controlled experiments were conducted in which a turbulent hydrogen-oxygen (GH2-GO2) diffusion flame, established downstream of a two-dimensional model shear coaxial injector was acoustically forced by a compression driver unit mounted in a transverse direction and excited through a broad range of frequencies (200Hz-2000Hz) and amplitudes. Characteristic interactions between flame and acoustics visualized through OH* and CH* chemiluminescence imaging and dynamic pressure measurements obtained using high frequency dynamic pressure transducers indicated that small acoustic disturbances could be amplified by flame-acoustic coupling under certain conditions leading to substantial modulation in spatial heat release fluctuations. Density gradient between fuel and oxidizer was found to significantly affect the way acoustic waves interacted with density stratified flame fronts. The particular case of an asymmetric flame front oscillation under transverse acoustic forcing indicated that baroclinic vorticity, generat... |
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MATLAB Tutorial for processing Signals and Sy...
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This tutorial is available as a supplement to the textbook Fundamentals of Signals and Systems Using Matlab by Edward Kamen and Bonnie Heck, published by Prentice Hall. The tutorial covers basic MATLAB commands that are used in introductory signals and systems analysis. It is meant to serve as a quick way to learn MATLAB and a quick reference to the commands that are used in this textbook. For more detailed information, the reader should consult the official MATLAB documentation. An easy way to learn MATLAB is to sit down at a computer and follow along with the examples given in this tutorial and the examples given in the textbook. The tutorial is designed for students using either the professional version of MATLAB (ver. 5.0) with the Control Systems Toolbox (ver. 4.0) and the Signal Processing Toolbox (ver. 4.0), or using the Student Edition of MATLAB (ver. 5.0). The commands covered in the tutorial and their descriptions are also valid for MATLAB version 4.0. |
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History and Patient Examination
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The medical history or anamnesis (abbr. Hx) of a patient is information gained by a physician by asking specific questions, either of the patient or of other people who know the person and can give suitable information (in this case, it is sometimes called heteroanamnesis), with the aim of obtaining information useful in formulating a diagnosis and providing medical care to the patient. The medically relevant complaints reported by the patient or others familiar with the patient are referred to as symptoms, in contrast with clinical signs, which are ascertained by direct examination on the part of medical personnel. Most health encounters will result in some form of history being taken. Medical histories vary in their depth and focus. For example, an ambulance paramedic would typically limit his history to important details, such as name, history of presenting complaint, allergies, etc. In contrast, a psychiatric history is frequently lengthy and in depth, as many details about the patient's life are relevant to formulating a management plan for a psychiatric illness.The information obtained in this way, together with clinical examination, enables the physician to form a diagnosis and treatment plan. If a diagnosis cannot be made,... |
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Motor neuron disease
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The term motor neuron classically applies to neurons located in the CNS that project their axons outside the CNS and directly or indirectly control muscles.The term "amyotrophic lateral sclerosis" is derived from the combination of the clinical examination finding of amyotrophy with the pathological finding of lateral sclerosis. Amyotrophic lateral sclerosis (ALS), first described by Charcot in the nineteenth century.ALS is a relentlessly progressive, presently incurable, neurodegenerative disorder that causes muscle weakness, disability, and eventually death.ALS is also known as "Lou Gehrig's Disease," after the famous New York Yankee baseball player who was affected with the disease
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The Thomas B. Fordham Institute, Chester Finn...
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Position analysis of the Thomas B. Fordham Institute.The Fordham Institute, according to its website, is a “Washington, D.C.-based non-profit think tank dedicated to advancing educational excellence in America’s K-12 schools (The Fordham Institute, 2009). The Fordham Foundation, in 2007 became a “supporting organization” of The Fordham Institute. The Fordham Foundation sponsors charter schools in Ohio a component of the organization’s mission that supports a parent’s right to choose where their child goes to school if they are confronted with less-than-ideal options (The Fordham Institute, 2009). |
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Science, Technology, Engineering, and Mathem...
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This paper will focus on STEM education at the undergraduate level, pipeline issues related to retention in such programs and subsequent post-baccalaureate retention issues in graduate school and employment, and finally take a look at the challenges of balancing the technical content of a STEM degree with general education requirements and the espousal of civic duties. The central piece of legislation around which the examination of STEM trends will take place is the 2002 Undergraduate Science, Technology, Engineering, and Mathematics Improvement ACT, also referred to as the Undergraduate STEM Improvement Act, or for the purposes of brevity USTEMIA. The goal of this paper is to review this specific piece of legislation and draw a relationship between it and other literature on STEM education in order to isolate and analyze language in the policy that promotes the economization of education while potentially overlooking the need to also preserve and promote the civic components of STEM education. This analysis will not purport that any intentional inattention to civic values has been perpetrated, rather it will explore the potential tensions which could arise should the preservation of democratic and civic components of STEM fo... |
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Gender Classification Using Support Vector Ma...
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Automatic face recognition is a classic problem in the area of computer vision research. This problem is still a very active area of research in vision community. The primary reason for this problem to get so much attention is the fact that face recognition finds application in many commercial applications and can work as a biometric in many law enforcement applications. The problem of Automatic face recognition can be formally defined as follows: Given a set of representative training images for each person in the database, determine the identity of a new face images from the stored data. There have been several techniques proposed in literature to extract different type of features related to shape, color, etc. of the face. Some of the techniques simply use the image pixel values as the features and reduce the dimension of these features by applying some constraints such that classification property of training image is preserved. In Project 1 of this course, we examined different kind of feature reduction method and used nearest neighbor approach as the classifier. The fundamental problem with the use of nearest neighbored approach as classifier is that the probability of error is quite high (twice as compared with Bayes classi... |
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A Comparative Study of Different Face Recogni...
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Automatic face recognition is a classic problem in the area of computer vision research. This problem is still a very active area of research in vision community. The primary reason for this problem to get so much attention is the fact that face recognition finds application in many commercial applications and can work as a biometric in many law enforcement applications [1]. The problem of Automatic face recognition can be formally defined as follows: Given a set of representative training images for each person in the database, determine the identity of a new face images from the stored data. There have been several techniques proposed in literature to extract different type of features related to shape, color, etc. of the face. Some of the techniques simply use the image pixel values as the features and reduce the dimension of these features by applying some constraints such that classifcation property of training image is preserved.In this report, we discuss some of these methods which are widely used in literature and promise to exhibits good recognition accuracy. We will use Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Sparse representation and Random projection for the task of face recognition and ... |
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Evaluation of Phase & Magnitude based Feature...
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Given a speech signal, there are two most important information that can be extracted from it. One being the linguistic information (about what is being said) and other being the speaker specific information (about who is speaking). This report is about the task of speaker recognition where the goal is to determine the speaker identity, from a group of known speaker, which closely matches with input sample. This problem become even more tough when there is limited amount of test and train data, a mismatch between the surrounding conditions while recording the test and train data, or in noisy environments. In this thesis, we consider the problem of speaker identification in noisy and bandlimited telephonic environments using the Gaussian Mixture Model approach combined with sub-band based feature extraction. We implement a sub-band based Posteriori Union Model described by Reynolds [1]. Then, we extend sub-band based approach to combine the phase based feature ModGDF and Magnitude based feature MFCC using several feature recombination techniques described in this thesis. These sub-band based feature recombination methods gives 46% identification accuracy, in best case, on NTIMIT database with little or no increase in computation. |
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Metro Station Complex- A Public Realm
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Light Rail Transit System for India-Bangalore.
The beneficial aspects of the metro rail development are listed below
1. Reduced traffic density on roads
2. Reduced Travel time and safety
3. Reduced in overall fuel consumption in the city
4. Reduction in urban air pollution
5. Reduction in noise levels
6. Reduction in road accidents
7. Improvement in city road conditions
8. Employment opportunities and improvement in rural economy
9. Benefits in the form of transfer of technology
10. Enhanced rural economy
11. Saving in productive man-hours due to rapid mode of transport
12. Reduction in green house gases emission
13. Reduced need for expansion of roads, laying new roads, flyovers etc
14. Better environmental landscape, aesthetics
15. Boost to industry, trade, commerce, communication and culture
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