'Illustrative example' diaporamas de présentation

A Primer on Data Masking Techniques for Numerical Data

A Primer on Data Masking Techniques for Numerical Data. Krish Muralidhar Gatton College of Business & Economics. My Co-author. I would first like to acknowledge that most of my work in this area is with my co-author Dr. Rathindra Sarathy at Oklahoma State University. Introduction.

1.22k views • 97 slides

STOCHASTIC APPROACH To State Estimation Current Status and Open Problems

STOCHASTIC APPROACH To State Estimation Current Status and Open Problems. FIPSE ??-1 Olympian Village Western Peloponnese, GREECE 29-31, August 2012. Jay H. Lee with help from Jang Hong and Suhang Choi Korea Advanced Institute of Science and Technology Daejeon , Korea.

914 views • 77 slides

Mathematics

Mathematics. Session. Cartesian Coordinate Geometry And Straight Lines. Session Objectives. Session Objectives. Equations of bisectors of angles between two lines Acute/obtuse angle bisectors Position of origin w.r.t bisecors Equation of family of lines through intersection of two lines

1.16k views • 65 slides

Chapter 4

Chapter 4. Completing the Accounting Cycle Accounting 211 Instructor: Professor John Ahmad. In Chapter 4, we will:. 1 Prepare a work sheet 2 Explain the process of closing the books 3 Describe the content and purpose of a post-closing trial balance

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Mathematics

Mathematics. Session. Principle of Mathematical Induction. Session Objectives. Session Objective. 1. Introduction 2. Steps involved in the use of mathematical induction 3. Principle of mathematical induction. Statement.

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General Notes on Research Proposals

General Notes on Research Proposals. Suggested Organization. Title, Abstract, Keywords (problem statement) Introduction and Overview Background information; problem description in context Hypotheses and objectives Assumptions and delimitations Importance and benefits

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Fixed Effects Model (FEM)

Fixed Effects Model (FEM). Presented by Neals M. Frage April 26, 2006. Outline. An illustrative example of the Fixed Effects Model (FEM). Cautions on the use of FEM. Application of FEM. An illustrative example. Consider the following pooling estimation model:.

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Outline

Software Engineering Challenges: of Complex Self-Organising Systems Prof. A. Taleb-Bendiab School of Computing Liverpool John Moores University email: a.talebbendiab@livjm.ac.uk http://www.cms.livjm.ac.uk/taleb. Outline. Drivers for a paradigm shift Autonomic Grid Computing

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The Measurement of Information

The Measurement of Information. Robert M. Hayes 2002. Overview. Summary Existing Uses Of Terms Philosophical Foundations Definition of Information What is Data Transfer? What is Data Selection? What is Data Analysis? What is Data Reduction? The Characterizing Problems. Summary.

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FORENSIC BOTNET DETECTION

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Development of Dynamic Models Illustrative Example: A Blending Process

Development of Dynamic Models Illustrative Example: A Blending Process. An unsteady-state mass balance for the blending system:. or where w 1 , w 2 , and w are mass flow rates. The unsteady-state component balance is:.

639 views • 22 slides

4A: Probability Concepts and Binomial Probability Distributions

4A: Probability Concepts and Binomial Probability Distributions. Definitions. Random variable ? a numerical quantity that takes on different values depending on chance Population ? the set of all possible values for a random variable

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FLOW SEPARATION

FLOW SEPARATION. Aerodynamics Bridge-Pier Design Combustion Chambers Human Blood Flow Building Design Etc. (Form Drag, Pressure Distribution, Forces and Moments, Heat And Mass Transfer, Vortex Shedding). Separation and Drag. Total drag = friction drag + form drag

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Simulation as a tool for Computer Assisted Formative Assessment - First Aid as a case study

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May 14

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Internal Audit Business Process Documentation Tool

The nice thing about standards is that there are so many to choose from. - Andrew S. Tannenbaum. Internal Audit Business Process Documentation Tool. Symposium on Information Systems Assurance October 22, 2005 Tom Crouch IT Audit Manager tom.crouch@sunlife.com. About Sun Life.

160 views • 15 slides

Final Examination

Final Examination. Quick Review. Risk Definition Three parameters for credit risk measurement Exposure at default (E) The loss in the event of default (LIED) or severity (S) The default probability (P) The calculation of EL and UL E and S are fixed values E and S are random variable.

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Multivariate Data Analysis Chapter 8 - Canonical Correlation Analysis

Multivariate Data Analysis Chapter 8 - Canonical Correlation Analysis. MIS 6093 Statistical Method Instructor: Dr. Ahmad Syamil. Chapter 8. What Is Canonical Correlation? Hypothetical Example of Canonical Correlation . Chapter 8 Analyzing Relationships with Canonical Correlation.

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Defining the Business Model

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Defining the Business Model

223 views • 7 slides