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Computer Security: Principles and Practice

Computer Security: Principles and Practice

Computer Security: Principles and Practice. Chapter 3 – User Authentication. First Edition by William Stallings and Lawrie Brown Lecture slides by Lawrie Brown. User Authentication. fundamental security building block basis of access control & user accountability

By Sophia
(917 views)

Analysis of 2G and 3G Mobile Security

Analysis of 2G and 3G Mobile Security

Analysis of 2G and 3G Mobile Security. Roy Campbell Dennis Mickunas Jalal Al-Muhtadi Sarosh Havewala. http://choices.cs.uiuc.edu/MobilSec/. Goals. Exploring existing and proposed authentication and encryption mechanisms for mobile communications.

By Antony
(275 views)

Dr. Marc Valliant , VP & CTO

Dr. Marc Valliant , VP & CTO

“Face Recognition Technology Today” before the NTIA Multi-Stakeholder Process To Develop Consumer Data Privacy Code of Conduct Concerning Facial Recognition Technology February 25, 2014. Dr. Marc Valliant , VP & CTO. Facial Recognition Applications in Use Today. Examples Commercial :

By daniel_millan
(316 views)

A Note on Modeling the Covariance Structure in Longitudinal Clinical Trials

A Note on Modeling the Covariance Structure in Longitudinal Clinical Trials

A Note on Modeling the Covariance Structure in Longitudinal Clinical Trials. Devan V. Mehrotra Merck Research Laboratories, Blue Bell, PA FDA/Industry Statistics Workshop September 18, 2003. Outline. Comparative clinical trial Typical questions of interest Standard analysis

By machiko
(135 views)

Chapter 1 - Introduction

Chapter 1 - Introduction

Chapter 1 - Introduction. HCI: Designing Effective Organizational Systems Dov Te’eni Jane Carey Ping Zhang. Introduction. HCI: Human Computer Interaction Describes the scope and approach of the book The context of the book is organizational work

By gay
(280 views)

Face Recognition: A Comparison of Appearance-Based Approaches

Face Recognition: A Comparison of Appearance-Based Approaches

Face Recognition: A Comparison of Appearance-Based Approaches. Thomas Heseltine Advanced Computer Architecture Group Department of Computer Science - University of York. www.cs. york .ac.uk/~tomh. tom.heseltine@cs.york.ac.uk. Introduction. Growing interest in biometric authentication

By ula
(145 views)

DNA Computing by Self Assembly

DNA Computing by Self Assembly

Erik Winfree, Caltech. DNA Computing by Self Assembly. Self Assembly of a Box. Information and Algorithms. Electronic microprocessors control electro-mechanical devices Biochemical circuits control molecular/chemical events

By deron
(231 views)

New Employee Orientation to QI Awareness

New Employee Orientation to QI Awareness

New Employee Orientation to QI Awareness. Appendix 1 – QI Resources Appendix 2 – QI Terminology Appendix 3 – Acronyms. Appendix 1 - QI Resources.

By chul
(147 views)

Cognitive Heuristics

Cognitive Heuristics

Cognitive Heuristics . Vignesh Narayanan, M.D Denver Health Medical Center . “An expert is a person who has made all the mistakes that can be made in a very narrow field” - Neils Bohr I think, therefore I am - Descartes,1664. err . Heuristics- definition.

By fala
(504 views)

Analysis of 2G and 3G Mobile Security

Analysis of 2G and 3G Mobile Security

Analysis of 2G and 3G Mobile Security. Roy Campbell Dennis Mickunas Jalal Al-Muhtadi Sarosh Havewala. http://choices.cs.uiuc.edu/MobilSec/. Goals. Exploring existing and proposed authentication and encryption mechanisms for mobile communications.

By thuy
(144 views)

TC 1600 Biotechnology and Pharmaceutical Customer Partnership Meeting John Doll - Commissioner for Patents

TC 1600 Biotechnology and Pharmaceutical Customer Partnership Meeting John Doll - Commissioner for Patents

TC 1600 Biotechnology and Pharmaceutical Customer Partnership Meeting John Doll - Commissioner for Patents. November 10, 2005. Contact Information. John Doll Commissioner for Patents e-mail: john.doll@uspto.gov Phone: 571 272 8800 . Application Filings and

By zena
(151 views)

Modeling with Observational Data

Modeling with Observational Data

Modeling with Observational Data. Michael Babyak, PhD. What is a model ?. Y = f(x1, x2, x3…xn). Y = a + b1x1 + b2x2…bnxn. Y = e a + b1x1 + b2x2…bnxn. “All models are wrong, some are useful” -- George Box. A useful model is Not very biased Interpretable

By bonnie
(96 views)

Controlling the Experimentwise Type I Error Rate When Survival Analyses Are Planned for Subsets of the Sample.

Controlling the Experimentwise Type I Error Rate When Survival Analyses Are Planned for Subsets of the Sample.

Controlling the Experimentwise Type I Error Rate When Survival Analyses Are Planned for Subsets of the Sample. Greg Yothers, MA National Surgical Adjuvant Breast and Bowel Project (NSABP) University of Pittsburgh, Department of Statistics Joint Work With John Bryant, PhD

By kamala
(133 views)

Language Modeling

Language Modeling

Language Modeling. Roadmap (for next two classes). Review LMs What are they? How (and where) are they used? How are they trained? Evaluation metrics Entropy Perplexity Smoothing Good-Turing Backoff and Interpolation Absolute Discounting Kneser -Ney. What is a language model?.

By byron
(89 views)

Introduction to HCI

Introduction to HCI

Introduction to HCI. Human Computer Interaction CIS 4930/6930 Section 1185/4198. Class Goals. Motivate the field of HCI Learn Basics of interface design Evaluation of interfaces HCI research problems HCI community (conferences and people). What the class will look like. Lectures

By libitha
(236 views)

Eyewitness testimony

Eyewitness testimony

Eyewitness testimony. Factors affecting eyewitness testimony : Anxiety. Depending on the incident you may have been scared and this will affect your recall. Research suggests that frightening situations may affect recall because attention is diverted to e.g. weapons.

By adamdaniel
(404 views)

Measures of Merit

Measures of Merit

NATO Code of Best Practice (COBP) for C2 Assessment. Measures of Merit. Presented by Valdur Pille Metrics and Experimentation Group Systems of Systems Section Defence R&D Canada – Valcartier With Dr R Hayes Ms C Wallshein EBR Inc US AFSAA. PR3- 1.

By darena
(178 views)

394C, October 2, 2013

394C, October 2, 2013

394C, October 2, 2013. Topics: Multiple Sequence Alignment Estimating Species Trees from Gene Trees. Multiple Sequence Alignment. Multiple Sequence Alignments and Evolutionary Histories (the meaning of “homologous”) How to define error rates in multiple sequence alignments

By edda
(153 views)

Off-topic essay detection using short prompt texts

Off-topic essay detection using short prompt texts

Off-topic essay detection using short prompt texts. Annie Louis University of Pennsylvania Derrick Higgins Educational Testing Service. Automatic methods to detect off-topic essays. Limit opportunity to game educational software. Compare with previously written essays for a question

By rodney
(87 views)

New Employee Orientation to QI Awareness

New Employee Orientation to QI Awareness

New Employee Orientation to QI Awareness. Appendix 1 – QI Resources Appendix 2 – QI Terminology Appendix 3 – Acronyms. Appendix 1 - QI Resources.

By greg
(106 views)

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