...March 28, 2008 22:40 Applicable Analysis ArticleApplAnalHomogVolChoquetMikeliclast Applicable Analysis Vol. 00, No. 00, March 2008, 1{22 RESEARCH ARTICLE Laplace transform approach to the rigorous upscaling of the in¯nite adsorption rate reactive °ow under dominant Peclet number through a pore z Catherine Choquet a and Andro Mikeli¶c b ¤ aUniversit¶e P. C¶ezanne, LATP UMR 6632, Facult¶e des Sciences et Techniques de Saint-J¶er^ome, 13397 Marseille Cedex 20, FRANCE bUniversit¶e de Lyon, Lyon, F-69003, FRANCE; Universit¶e Lyon 1, Institut Camille Jordan, UFR Math¶ematiques, Site de Gerland, B^at. A, 50, avenue Tony Garnier 69367 Lyon Cedex 07, FRANCE (submitted on March 31, 2008) In this paper we undertake a rigorous derivation of the upscaled model for reactive °ow through a narrow and long two-dimensional pore. The transported and di®used solute par- ticles undergo the in¯nite adsorption rate reactions at the lateral tube boundary. At the inlet boundary we suppose Danckwerts' boundary conditions. The transport and reaction pa- rameters are such that we have dominant Peclet number. Our analysis uses the anisotropic singular perturbation technique, the small characteristic parameter " being the ratio between the thickness and the longitudinal observation length. Our goal is to obtain error estimates for the approximation of the physical solution by the upscaled one. They are presented in the energy norm. They give the approximation error as a power of...
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...Petroleum-Gas University of Ploiesti BULLETIN Vol. LXII No. 4/2010 1 - 11 Economic Sciences Series Employee Compensation Practices in Industrial Enterprises of Bangladesh: A Public-Private Sector Comparison Mir Mohammed Nurul Absar*, Zahed Husain Sikder**, Balasundaram Nimalathasan***, Mohammed Moniruzzaman Bhuiyan**** * East Delta University, 1267/A Goshaildanga, Agrabad, Chittagong, Bangladesh e-mail: mmnabsar@yahoo.com ** Department of Management Studies, University of Chittagong, Bangladesh e-mail: zahidsikder@aiub.edu *** Department of Commerce, University of Jaffna, Thirunelveli, Jaffna, Sri Lanka e-mail: bnimalathasan@yahoo.com **** Department of Statistics, University of Chittagong, Bangladesh e-mail: bhuiyan_mz@yahoo.com Abstract Compensation is one the most important functions of human resource management (HRM). The present study aimed at exploring differences between the public and private sector industrial enterprises of Bangladesh with respect to overall status of compensation practices. Data collected from twenty-six public and thirty-four private industrial enterprises shows that the overall status of compensation practices of the private sector industrial enterprises is significantly better than that of the public sector industrial enterprises in Bangladesh. Some implications are also offered for overall improvement of the compensation practices of the public and private sector industrial enterprises of Bangladesh. Key words: compensation...
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...Aniruddha Datta and S.P. Bhattacharyya Department of Electrical Engineering Texas A & M University College Station, TX 77843-3128 U.S.A. datta@ee.tamu.edu bhatt@ee.tamu.edu Abstract In this paper we present a study of some PID tuning techniques that are based on first-order models with time delays. Using the characterization of all stabilizing PID controllers derived in [6], each tuning rule is analyzed t o first determine if the proportional gain value dictated by that rule, lies inside the range of admissible proportional gains. Then, the integral and derivative gain values are examined t o determine conditions under which the tuning rule exhibits resilience with respect t o controller parameter perturbations. Furthermore, a new tuning rule is presented for resilient controller design. ate in tbe sense of providing PID controller parameters that are resilient in the space of the controller coefficients. A controller for which the closed-loop system is destabilized by small perturbations in the controller coefficients is said t o be fmgile [4]. Any controller that is t o be practically implemented must necessarily be non-fragile or Tesilienl so that: (1) round-off errors during implementation d o not destabilize the closed-loop; and (2) tuning of the parameters about the nominal design values is allowed. Three tuning techniques will be discussed: (1) the classical Ziegler-Nichols step response method; (2) the Cohen-Coon method; and (3) the Internal Model Control design technique...
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...373 3 Main heading FirstRand Company annual financial statements F I R S T R A N D A N N U A L I N T E G R AT E D R E P O R T / 2 0 1 1 3 374 FirstRand Company annual financial statements Statement of comprehensive income for the year ended 30 June R million Continuing operations Interest and similar income Interest expense and similar charges Notes 2011 2010 2 2 82 – 10 (4) Net interest income Non-interest income 3 82 43 537 6 3 989 – fees and commission income – gains less losses from investment securities 3 3 31 43 506 36 3 953 43 619 3 995 (98) (97) 43 521 (3) 3 898 (3) 43 518 (126) 3 895 (4) Profit for the year from continuing operations Discontinued operation Profit /(loss) attributable to discontinued operation 43 392 3 891 10 714 (100) Profit for the year Other comprehensive income 54 106 – 3 791 – Total comprehensive income for the year 54 106 3 791 Equity holders of the Company NCNR preference shares 53 805 301 3 447 344 Total comprehensive income for the year 54 106 3 791 Income from operations Operating expenses 4 Income before indirect tax Indirect tax Income before tax Tax 5 Attributable to: 375 Statement of financial position as at 30 June R million ASSETS Cash and cash equivalents Loans and accounts receivable Investment in subsidiaries Property and equipment ...
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...assignments during the past nit,.: years, mostly concerned with the development of software packages for spacecraft mission planning, commanding and post-flight analysis. In these assignments I have experienced different degrees of successwith respect to arriving at an operational state, on-time, and within costs. I have become prejudiced by my experiences and I am going to relate some of these prejudices in this presentation. COMPUTER PROGRAM DEVELOPMENT FUNCTIONS There are two essential steps common to all computer program developments, regardless of size or complexity. There is first an analysis step, followed second by a coding step as depicted in Figure 1. This sort of very simple implementation concept is in fact all that is required if the effort is sufficiently small and if the final product is to be operated by those who built it - as is typically done with computer programs for internal use. It is also the kind of development effort for which most customers are happy to pay, since both steps involve genuinely creative work which directly contributes to the usefulness of the final product. An implementation plan to manufacture 13rger software systems, and keyed only to these steps, however, is doomed • tofailure. Many additional development steps are required, none contribute as directly to the final product as analysis and coding, and all drive up the development costs. Customer personnel typically would rather not pay for them, and development personnel would rather not...
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...Public Relations Research Comm 3000 Syllab us Jan uary 1 I n s t ru c t o r : Z h u o B a n E m ai l : b a n z u @ u c m a i l . u c. e d u O f f i c e : M c M i c k e n H a l l R o o m 11 9 C O f f i c e h o u rs : T / R b y a p p o i n t m e n t INSIDE THIS SYLLABUS Course Objectives Unfortunately, no one can learn all there is to learn about research. Thousands of research methods have been created and used already, and thousands more are being developed as we speak. No, this course won’t teach you all you need to know about PR research. It will, however, provide you with an overall picture about the most popular research tools and practices. Students will be guided through a number of hands-on research projects that help them to develop a basic skill set to tackle the research (related) tasks most commonly issued to PR professionals. More essentially, students are encouraged to contemplate the philosophy of research for PR. It sounds abstract, but a philosophy of research provides answers to such important, and practical, questions as: When to conduct research? Who should be included in the research process? To what end should the research be carried out? 1 Course Objectives 2 Course Material 3 Course Requirements 4 Expectations 5 Class Schedule Upon completion of the course, you should be able to: • Explain how public-relations professionals frame research questions, set goals and objectives, and select the best methods to answer specific research questions;...
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...JILPT Research Report No.87 Development of Vocational Readiness of Junior and Senior High School Students: Through Analysis of Research on Standardization of Vocational Readiness Test Summary Authors (in the order of writing this report) Akio Tachi Professor, Division of Human Sciences, Seinan Gakuin University Harumi Muroyama Senior Researcher, Occupational Consultation and Employment Support Group, Japan Institute for Labour Policy and Training Sadamitsu Kamiichi Associate Professor, Labour College, Japan Institute for Labour Policy and Training Chihiro Iwawaki Researcher, Occupational Consultation and Employment Support Group, Japan Institute for Labour Policy and Training Tomoko Adachi Lecturer, Department of Arts and Sciences, Osaka Kyoiku University Junhei Matsumoto Research Director, Occupational Consultation and Employment Support Group, Japan Institute for Labour Policy and Training Nobue Sasa Principal, Tokyo Metropolitan Minorigaoka High School Tomokazu Sugimori Teacher, Tokyo Metropolitan Katsushika Sogo High School Keiji Honma Associate Professor, Faculty of Sport Science, Nippon Sport Science University Participating researchers other than above Miyako Kamei Graduate School of Tokyo Metropolitan University (temporary research collaborator: Jun. 2004 – Sep. 2004) Ryu, Bin Graduate School of the Tokyo Institute of Technology (temporary research collaborator:...
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...University of Florence Faculty of Economy Master’s Degree in Bank, Insurance and Financial Markets Thesis in Applied Statistics for Banks and Insurances Credit Risk Models: Single Firm Default and Contagion Default Analysis Supervisor: P rof essor Fabrizio Cipollini Student: Marco Gambacciani Academic Year 2009/2010 Contents Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Structural Models 1.1 Terminal Default . . . . . . . . . . . . 1.2 First Passage Models . . . . . . . . . . 1.2.1 The Black and Cox’s Model . . 1.2.2 Longstaff and Schwartz’s Model 1.2.3 Leland and Toft’s Model . . . . 1.2.4 Zhou’s Model . . . . . . . . . . 1.2.5 Random Threshold Model . . . 2 5 5 11 11 15 19 24 30 35 36 39 41 45 48 50 51 56 67 76 77 79 79 82 83 84 94 114 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Modelli reduced form 2.1 Approach With An Homogenous Poisson Process . . 2.2 Approach With a Non-Homogenous Poisson Process 2.3 Approach with a Cox’s Process . . . . . . . . . . . . 2.4 Bond and Spread Valuation . . . . . . . . . . . . . . Models For The Correlation Between Defaults 3.1 Bottom-Up Models . . . . . . . . . . . . . 3.1.1 Structural Apporach . . . . . . . . 3.1.2 Intensity Models Approaches . . . 3.1.3 Approaches with...
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...Introduction to Financial Management Course Instructor Shahidullah (Slh) Lecturer, School of business and Economics (SBE). North South University Fin 254 Section: 18 Report on Ambee Pharmaceuticals Beacon Pharmaceuticals 1|Page Ambee Pharmaceuticals and Beacon pharmac euticals Group Members Names Id Ashraf Ali Parvez 143 0979 630 Junayed Hossain 151 2800 630 Md. Asfiqur Alam 151 2804 030 Abid Hasan 151 0654 630 Date of Submission: 03-12-2015 2|Page Ambee Pharmaceuticals and Beacon pharmac euticals Acknowledgement We would like to thank almighty. And group members for their constant hard work, encouragement and contribution without which this report would not be possible We would like to express our deepest appreciation and a special gratitude to our course instructor SHAHIDULLAH who provided us the Opportunity to complete this report. Whose contribution in stimulating suggestions, guidance, and encouragement helped us to coordinate our project especially in writing this report. The blessing, help and guidance given by him time to time shall carry us a long way in the journey of life on which we are about to embark. We also would like to thank the staff members of DHAKA STOCK EXCHANGE, who helped us to collect all the information, we had requested. 3|Page Ambee Pharmaceuticals and Beacon pharmac euticals LETTER OF TRANSMITTAL December 03, 2015. SHAHIDULLAH Fin254 Section: 11, School of Business...
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...IEEE T R A N S A C T I O N S O N I N F O R M A T I O N T H E O R Y . VOL. 37, N O . I , J A N U A R Y 1991 43 A Class of Least-Squares Filtering and Identification Algorithms with Systolic Array Architectures Seth Z. Kalson, Member, IEEE, and Kung Yao, Member, IEEE Abstract -A unified approach is presented for deriving a large class of new and previously known time and order recursive least-squares algorithms with systolic array architectures, suitable for high throughput rate and VLSl implementations of space-time filtering and system identification problems. The geometrical derivation given here is unique in that no assumption is made concerning the rank of the sample data correlation matrix. Our method utilizes and extends the concept of oblique projections, as used previously in the derivations of the leastsquares lattice algorithms. Both the growing and sliding memory, exponentially weighted least-squares criteria are considered. Index Terms-Least-squares systolic arrays. tions of the least-squares estimation problem: 1) the filtering problem is to find the filtered output y , , ( t ) , where n . Y,!(t)S Cgl'(t)xi(t), i=l 1ItIT; (1.2) 2) the identification problem is to find the filter weights g ; ( t ) , i = 1;. ., n, for any t I. T This generalization of the least-squares estimation problem is important whenever practical space-time or multichannel filtering arises, such as in adaptive antenna arrays, I. INTRODUCTION decision feedback and...
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...1. (a) How does correlation analysis differ from regression analysis? Correlation analysis identifies the relationship between independent and dependent variables while regression analysis uses independent variables to predict dependent variable by means of predictive model. (b) What does a correlation coefficient reveal? Correlation coefficient reveals the degree of association between independent and dependent variables. The closer to the one the value is the more strong relationship. Negative values means negative relationship with r=-1 as perfect negative relationship whereas positive values means positive association with perfect positive association as r=1. (c) State the quick rule for a significant correlation and explain its limitations. r=1 means perfect positive relationship r=-1 means perfect negative relationship r=0 means no relationship Limitations are with respect to its subjectivity because r slightly greater than 0.5 may be treated as good relationship whereas r slightly less than 0.5 may have opposite meaning. (d) What sums are needed to calculate a correlation coefficient? Sums required are: 1) −(−) 2) (−)2 3) (−)2 (e) What are the two ways of testing a correlation coefficient for significance? Two methods are: 1) t-test: The test statistic is:=−21−2 2) z-test: Test statistic is:=ln[+1−1]2 12.48 In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald’s employees....
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...An Event-Based Digital Forensic Investigation Framework∗ Brian D. Carrier carrier@cerias.purdue.edu Eugene H. Spafford spaf@cerias.purdue.edu Center for Education and Research in Information Assurance and Security - CERIAS Purdue University West Lafayette, IN 47907 USA Abstract In this paper, we present a framework for digital forensics that includes an investigation process model based on physical crime scene procedures. In this model, each digital device is considered a digital crime scene, which is included in the physical crime scene where it is located. The investigation includes the preservation of the system, the search for digital evidence, and the reconstruction of digital events. The focus of the investigation is on the reconstruction of events using evidence so that hypotheses can be developed and tested. This paper also includes definitions and descriptions of the basic and core concepts that the framework uses. 1 Introduction Since the first Digital Forensic Research Workshop (DFRWS) in 2001 [Pal01], the need for a standard framework has been understood, yet there has been little progress on one that is generally accepted. A framework for digital forensics needs to be flexible enough so that it can support future technologies and different types of incidents. Therefore, it needs to be simple and abstract. On the other hand, if it is too simple and abstract then it is difficult to create tool requirements and test procedures for each phase. For this paper...
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...mean-variance formulation (2.2) Two-fund theorem (2.3) Inclusion of the riskfree asset 1 2.1 Markowitz mean-variance formulation Suppose there are N risky assets, whose rates of returns are given by the random variables R1 , · · · , RN , where Rn = Sn(1) − Sn (0) , n = 1, 2, · · · , N. Sn(0) Let w = (w1 · · · wN )T , wn denotes the proportion of wealth invested in asset n, N with n=1 wn = 1. The rate of return of the portfolio is N RP = n=1 wnRn . Assumptions 1. There does not exist any asset that is a combination of other assets in the portfolio, that is, non-existence of redundant security. = (1 1 · · · 1) are linearly independent, otherwise 2. µ = (R1 R2 · · · RN ) and RP is a constant irrespective of any choice of portfolio weights. 1 2 The first two moments of RP are N N µP = E[RP ] = n=1 E[wn Rn] = n=1 N wnµn, where µn = Rn, and 2 σP = var(RP ) = N N N wiwj cov(Ri, Rj ) = i=1 j=1 i=1 j=1 wiσij wj . Let Ω denote the covariance matrix so that 2 σP = wT Ωw. For example when n = 2, we have (w1 w2 ) σ11 σ12 σ21 σ22 w1 w2 2 2 2 2 = w1 σ1 + w1w2(σ12 + σ21) + w2 σ2 . 3 Remark 2 1. The portfolio risk of return is quantified by σP . In mean-variance analysis, only the first two moments are considered in the portfolio model. Investment theory prior to Markowitz considered the maximization of µP but without σP . 2. The measure of risk by variance would place equal weight on the upside deviations and downside deviations. 3. In the mean-variance model, it is assumed that...
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...HAL R. VARIAN 1 NORTON To my parents Copyright @ 1992, 1984, 1978 by W. W. Norton & Company, Inc. All rights reserved Printed in the United States of America THIRD EDITION Library o Congress Cataloging-in-Publication Data f Varian, Hal R. Mlcroeconon~lc analysis / Hal R. Varian. -- 3rd ed. p. an Includes blbllographlcal references and index. 1. Mlcroeconomlcs. 1. Title. HB172.V35 1992 338.5--dc20 ISBN 0-393-95735-7 W. W. Norton & Company, Inc., 500 Fifth Avenue, New York, N.Y. 10110 W. W. Norton & Company, Ltd., 10 Coptic Street, London WClA 1PU CONTENTS PREFACE 1 Technology Measurement of inputs and outputs 1 Specification of technology 2 Example: Input requzrement set Example: Isoquant Example: Shortrun productzon posszbzlztzes set Example: Pt-oductzon functzon Example: Transformatzon functzon Example: Cobb-Douglas technology Example: Leontzef technology Activity analysis 5 Monotonic technologies 6 Convex technologies 7 Regular technologies 9 Parametric representations of technology 10 The technical rate of substitution 11 Example: T R S for a Cobb-Douglas technology The elasticity of substitution 13 Example: The elastzczty of substztutzon for the Cobb-Douglas productzon functzon Returns to scale 14 Example: Returns to scale and the Cobb-Douglas technology Homogeneous and homothetic technologies 17 Example: The CES productzon functzon Exercises 21 2 Profit Maximization . Profit maximization 25 Difficulties 28 Example:...
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...Formulae Final Examination Financial Accounting and Financial Statement Analysis l Equity Valuation and Analysis l Corporate Finance l Economics Table of Contents 1. Financial Accounting and Financial Statement Analysis 1.1 Generally Accepted Accounting Principles: Assets, Liabilities and 1 Shareholders’ Equities ......................................................................................... 1 1.1.1 1.2.1 1.3.1 1.3.2 1.3.3 Assets: Recognition, Valuation and Classification....................................... 1 Earning per Share ......................................................................................... 1 Profitability Analysis ..................................................................................... 2 Risk Analysis ................................................................................................ 5 Break-Even Analysis .................................................................................... 6 1.2 Financial Reporting and Financial Statement Analysis ...................................... 1 1.3 Analytical tools for Assessing Profitability and Risk......................................... 2 2. Equity Valuation and Analysis 2.1.1 2.1.2 2.1.3 7 2.1 Valuation Model of Common Stock .................................................................... 7 Dividend Discount Model............................................................................. 7 Free Cash Flow Model...
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