...calculations involved. Following sections shall deal with the theoretical and practical intricacies of the aforementioned model. The appendix includes snapshots of the generated results and other code snippets. Artificial Neural Networks: Understanding To understand any of the ensuing topics and the details discussed thereof, it is imperative to understand what actually we mean by Neural Networks. So, I first dwell into this topic: In simplest terms a Neural Network can be defined as a computer system modelled on the human brain and nervous system. Wikipedia elaborates on this definition as follows: “ An Artificial Neural Network, often just called a neural network, is a mathematical model inspired by biological neural networks… …In most cases a neural network is an adaptive system that changes its structure during a learning phase.” Both of these definitions stand correct in their own place and the context. In my understanding the...
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...Multi-Parameter Patient Monitoring Platform Santosh N Vasist Abstract: This project measures pulse rate, temperature and records ECG signal of a patient. It predicts the risk of a disorder related to the heart using Artificial Neural Networks (ANN) in the absence of a doctor. This project uses an ECG sensor to measure the electrical activity of the heart using a three electrode system, a heartbeat sensor to measure the heart rate by analyzing the blood flow in index finger, and a temperature sensor to measure the body temperature. Additional parameters such as age, gender, height, weight along with the QRS interval from the recorded ECG is used to predict the risk of a disorder using Artificial Neural Networks (ANN). I. INTRODUCTION Human heart generates small electrical signals which travel through the muscles of the heart and results in the contraction and relaxation of the heart thus in turn resulting in the pumping action. These electrical impulses can be detected by Electrocardiography. An Electrocardiograph is the record of the electrical activities occurring in the heart. Electrodes set on distinctive parts of the body distinguish electrical signs originating from diverse regions inside of the heart. Effectively almost all the diseases related to the heart can be detected by the ECG. An ECG is a quick and easy method for the doctor to determine the condition of the heart. The ECG readings are almost immediate and reliable, which means the findings of the test...
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...Chemical Product and Process Modeling Volume 2, Issue 3 2007 Article 12 Nonlinear Modelling Application in Distillation Column Zalizawati Abdullah, Universiti Sains Malaysia Norashid Aziz, Universiti Sains Malaysia Zainal Ahmad, Universiti Sains Malaysia Recommended Citation: Abdullah, Zalizawati; Aziz, Norashid; and Ahmad, Zainal (2007) "Nonlinear Modelling Application in Distillation Column," Chemical Product and Process Modeling: Vol. 2 : Iss. 3, Article 12. Available at: http://www.bepress.com/cppm/vol2/iss3/12 DOI: 10.2202/1934-2659.1082 ©2007 Berkeley Electronic Press. All rights reserved. Nonlinear Modelling Application in Distillation Column Zalizawati Abdullah, Norashid Aziz, and Zainal Ahmad Abstract Distillation columns are widely used in chemical processes and exhibit nonlinear dynamic behavior. In order to gain optimum performance of the distillation column, an effective control strategy is needed. In recent years, model based control strategies such as internal model control (IMC) and model predictive control (MPC) have been revealed as better control systems compared to the conventional method. But one of the major challenges in developing this effective control strategy is to construct a model which is utilized to describe the process under consideration. The purpose of this paper is to provide a review of the models that have been implemented in continuous distillation columns. These models are categorized under three major groups: fundamental...
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...Journal of Food Engineering 52 (2002) 349–357 www.elsevier.com/locate/jfoodeng Thin-layer modelling of black tea drying process P.C. Panchariya a, D. Popovic b b,* , A.L. Sharma c a Central Electronics Engineering Research Institute, Pilani 333031, India Institute of Automation Techniques, University of Bremen, D-28359, Bremen, Germany c Institute of Instrumentation, D.A. University, Khandwa Road, Indore 452017, India Received 16 March 2001; accepted 25 June 2001 Abstract An experimental dryer was developed for determining the kinetics of black tea drying. Drying characteristics of tea were examined using heated ambient air for the temperature range 80–120°C and air flow velocity range 0.25–0.65 m/s. The data of sample weight, dry- and wet-bulb temperatures and air velocity of the drying air were recorded continuously during each test. The drying data were then fitted to the different semi-theoretical models such as Lewis, Page, modified Page, two-term and Henderson and Pabis models, based on the ratios of the difference between the initial and final moisture contents and the equilibrium moisture content. The Lewis model gave better predictions than other models, and satisfactorily described the thin-layer drying characteristics of black tea particles. The effective diffusivity varied from 1:14 Â 10À11 to 2:98 Â 10À11 m2 /s over the temperature range. The temperature dependence of the diffusivity coefficient was described by the Arrhenius-type relationship. The activation...
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...Knowledge-Based Systems 30 (2012) 67–77 Contents lists available at SciVerse ScienceDirect Knowledge-Based Systems journal homepage: www.elsevier.com/locate/knosys Bankruptcy prediction models based on multinorm analysis: An alternative to accounting ratios Javier de Andrés ⇑, Manuel Landajo, Pedro Lorca University of Oviedo, Spain a r t i c l e i n f o a b s t r a c t In this paper we address the bankruptcy prediction problem and outline a procedure to improve the performance of standard classifiers. Our proposal replaces traditional indicators (accounting ratios) with the output of a so-called multinorm analysis. The deviations of each firm from a battery of industry norms (computed by nonparametric quantile regression) are used as input variables for the classifiers. The approach is applied to predict bankruptcy of firms, and tested on a representative data set of Spanish firms. Results indicate that the approach may provide significant improvements in predictive accuracy, both in linear and nonlinear classifiers. Ó 2011 Elsevier B.V. All rights reserved. Article history: Received 9 February 2011 Received in revised form 2 October 2011 Accepted 3 November 2011 Available online 30 December 2011 Keywords: Bankruptcy prediction Classification techniques Nonparametric methods Quantile regression Accounting ratios 1. Introduction Under the current economic conditions, bankruptcy early warning systems have become tools of key importance in order to guarantee the...
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...ARTIFICIAL NEURAL NETWORKS METHODOLOGICAL ADVANCES AND BIOMEDICAL APPLICATIONS Edited by Kenji Suzuki Artificial Neural Networks - Methodological Advances and Biomedical Applications Edited by Kenji Suzuki Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2011 InTech All chapters are Open Access articles distributed under the Creative Commons Non Commercial Share Alike Attribution 3.0 license, which permits to copy, distribute, transmit, and adapt the work in any medium, so long as the original work is properly cited. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published articles. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Ivana Lorkovic Technical Editor Teodora Smiljanic Cover Designer Martina Sirotic Image Copyright Bruce Rolff, 2010. Used under license from Shutterstock.com First published March, 2011 Printed in...
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...Fuzzy Control Kevin M. Passino Department of Electrical Engineering The Ohio State University Stephen Yurkovich Department of Electrical Engineering The Ohio State University An Imprint of Addison-Wesley Longman, Inc. Menlo Park, California • Reading, Massachusetts Don Mills, Ontaria • Sydney • Bonn • Harlow, England • Berkeley, California • Amsterdam • Mexico City ii Assistant Editor: Laura Cheu Editorial Assistant: Royden Tonomura Senior Production Editor: Teri Hyde Marketing Manager: Rob Merino Manufacturing Supervisor: Janet Weaver Art and Design Manager: Kevin Berry Cover Design: Yvo Riezebos (technical drawing by K. Passino) Text Design: Peter Vacek Design Macro Writer: William Erik Baxter Copyeditor: Brian Jones Proofreader: Holly McLean-Aldis Copyright c 1998 Addison Wesley Longman, Inc. All rights reserved. No part of this publication may be reproduced, or stored in a database or retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. Printed in the United States of America. Printed simultaneously in Canada. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and AddisonWesley was aware of a trademark claim, the designations have been printed in initial caps or in all caps. MATLAB is a registered trademark of The MathWorks...
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...NATIONAL INSTITUTE OF TECHNOLOGY SILCHAR Bachelor of Technology Programmes amï´>r¶ JH$s g§ñWmZ, m¡Úmo{ à VO o pñ Vw dZ m dY r V ‘ ñ Syllabi and Regulations for Undergraduate PROGRAMME OF STUDY (wef 2012 entry batch) Ma {gb Course Structure for B.Tech (4years, 8 Semester Course) Civil Engineering ( to be applicable from 2012 entry batch onwards) Course No CH-1101 /PH-1101 EE-1101 MA-1101 CE-1101 HS-1101 CH-1111 /PH-1111 ME-1111 Course Name Semester-1 Chemistry/Physics Basic Electrical Engineering Mathematics-I Engineering Graphics Communication Skills Chemistry/Physics Laboratory Workshop Physical Training-I NCC/NSO/NSS L 3 3 3 1 3 0 0 0 0 13 T 1 0 1 0 0 0 0 0 0 2 1 1 1 1 0 0 0 0 4 1 1 0 0 0 0 0 0 2 0 0 0 0 P 0 0 0 3 0 2 3 2 2 8 0 0 0 0 0 2 2 2 2 0 0 0 0 0 2 2 2 6 0 0 8 2 C 8 6 8 5 6 2 3 0 0 38 8 8 8 8 6 2 0 0 40 8 8 6 6 6 2 2 2 40 6 6 8 2 Course No EC-1101 CS-1101 MA-1102 ME-1101 PH-1101/ CH-1101 CS-1111 EE-1111 PH-1111/ CH-1111 Course Name Semester-2 Basic Electronics Introduction to Computing Mathematics-II Engineering Mechanics Physics/Chemistry Computing Laboratory Electrical Science Laboratory Physics/Chemistry Laboratory Physical Training –II NCC/NSO/NSS Semester-4 Structural Analysis-I Hydraulics Environmental Engg-I Structural Design-I Managerial Economics Engg. Geology Laboratory Hydraulics Laboratory Physical Training-IV NCC/NSO/NSS Semester-6 Structural Design-II Structural Analysis-III Foundation Engineering Transportation Engineering-II Hydrology &Flood...
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...MODELS FOR ESTIMATION OF ISOMETRIC WRIST JOINT TORQUES USING SURFACE ELECTROMYOGRAPHY by Amirreza Ziai B.Eng., Sharif University of Technology, Tehran, 2008 THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF APPLIED SCIENCE In the School of Engineering Science Faculty of Applied Science © Amirreza Ziai 2011 SIMON FRASER UNIVERSITY Summer 2011 All rights reserved. However, in accordance with the Copyright Act of Canada, this work may be reproduced, without authorization, under the conditions for Fair Dealing. Therefore, limited reproduction of this work for the purposes of private study, research, criticism, review and news reporting is likely to be in accordance with the law, particularly if cited appropriately. APPROVAL Name: Degree: Title of Thesis: Amirreza Ziai M.A.Sc Models for estimation of isometric wrist joint torques using surface electromyography Examining Committee: Chair: Parvaneh Saeedi, P.Eng Assistant Professor – School of Engineering Science ______________________________________ Dr. Carlo Menon, P.Eng Senior Supervisor Assistant Professor – School of Engineering Science ______________________________________ Dr. Shahram Payandeh, P.Eng Supervisor Professor – School of Engineering Science ______________________________________ Dr. Bozena Kaminska, P.Eng Examiner Professor – School of Engineering Science Date Defended/Approved: _________September 2, 2011 ______________ ii ABSTRACT With an aging...
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...Learning OpenCV Gary Bradski and Adrian Kaehler Beijing · Cambridge · Farnham · Köln · Sebastopol · Taipei · Tokyo Learning OpenCV by Gary Bradski and Adrian Kaehler Copyright © 2008 Gary Bradski and Adrian Kaehler. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (safari.oreilly.com). For more information, contact our corporate/institutional sales department: (800) 998-9938 or corporate@oreilly.com. Editor: Mike Loukides Production Editor: Rachel Monaghan Production Services: Newgen Publishing and Data Services Cover Designer: Karen Montgomery Interior Designer: David Futato Illustrator: Robert Romano Printing History: September 2008: First Edition. Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks of O’Reilly Media, Inc. Learning OpenCV, the image of a giant peacock moth, and related trade dress are trademarks of O’Reilly Media, Inc. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and O’Reilly Media, Inc. was aware of a trademark claim, the designations have been printed in caps or initial caps. While every precaution has been taken in the preparation of this...
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...Approaches to Process Performance Modeling: A Summary from the SEI Series of Workshops on CMMI High Maturity Measurement and Analysis Robert W. Stoddard II Dennis R. Goldenson January 2010 TECHNICAL REPORT CMU/SEI-2009-TR-021 ESC-TR-2009-021 Software Engineering Measurement and Analysis Unlimited distribution subject to the copyright. http://www.sei.cmu.edu This report was prepared for the SEI Administrative Agent ESC/XPK 5 Eglin Street Hanscom AFB, MA 01731-2100 The ideas and findings in this report should not be construed as an official DoD position. It is published in the interest of scientific and technical information exchange. This work is sponsored by the U.S. Department of Defense. The Software Engineering Institute is a federally funded research and development center sponsored by the U.S. Department of Defense. Copyright 2010 Carnegie Mellon University. NO WARRANTY THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. Use of any trademarks in this report is not intended in any way to infringe on...
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...TOTAL QUALITY MANAGEMENT AND SIX SIGMA Edited by Tauseef Aized Total Quality Management and Six Sigma http://dx.doi.org/10.5772/2559 Edited by Tauseef Aized Contributors Aleksandar Vujovic, Zdravko Krivokapic, Jelena Jovanovic, Svante Lifvergren, Bo Bergman, Adela-Eliza Dumitrascu, Anisor Nedelcu, Erika Alves dos Santos, Mithat Zeydan, Gülhan Toğa, Johnson Olabode Adeoti, Andrey Kostogryzov, George Nistratov, Andrey Nistratov, Vidoje Moracanin, Ching-Chow Yang, Ayon Chakraborty, Kay Chuan Tan, Graham Cartwright, John Oakland Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2012 InTech All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained...
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