'Truly random' presentation slideshows

The GSI anomaly

The GSI anomaly. Alexander Merle Max-Planck-Institute for Nuclear Physics Heidelberg Based on: H. Kienert, J. Kopp, M. Lindner, AM The GSI anomaly 0808.2389 [hep-ph] Neutrino 2008 Conf. Proc. Trento, 18.11.2008. Contents:.

1.53k views • 136 slides

Webinar May 22, 2012

CSI 2010 Impact Evaluation Addendum. Webinar May 22, 2012. Introduction. Scope: Additional analyses to the 2010 CSI Impacts Report Not meant to stand alone Includes SGIP and CSI systems

717 views • 65 slides

Cryptography and Network Security

Cryptography and Network Security. Sixth Edition by William Stallings . Chapter 7. Pseudorandom Number Generation and Stream Ciphers.

991 views • 43 slides

Toward Validation and Control of Network Models

Toward Validation and Control of Network Models . Michael Mitzenmacher Harvard University. Internet Mathematics. Articles Related to This Talk. The Future of Power Law Research. A Brief History of Generative Models for Power Law and Lognormal Distributions. Motivation: General.

494 views • 39 slides

CS363

Week 7 - Friday. CS363. Last time. What did we talk about last time? OS security Directory-based systems Access control lists. Questions?. Project 2. Assignment 3. Security Presentation. Taylor Ryan. Role-based access control.

495 views • 38 slides

Pseudorandom Number Generation

Pseudorandom Number Generation. Thanks once again to A. Joseph, D. Tygar , U. Vazirani , and D. Wagner at the University of California, Berkeley. What Can Go Wrong?. An example: This generates a 16 byte (128 bit) key. A Refresher. The function prototypes

581 views • 35 slides

Computer Music Generation: NEAT Drummer

470 views • 31 slides

Evaluation

Evaluation. April 24, 2010. Today. Evaluation Measures Accuracy Significance Testing F-Measure Error Types ROC Curves Equal Error Rate AIC/BIC. How do you know that you have a good classifier?. Is a feature contributing to overall performance? Is classifier A better than classifier B?

474 views • 31 slides

Computer Security: Principles and Practice

First Edition by William Stallings and Lawrie Brown Lecture slides by Lawrie Brown and edited by Archana Chidanandan. Cryptographic Tools. Computer Security: Principles and Practice. Cryptographic Tools. cryptographic algorithms important element in security services

429 views • 31 slides

1.31k views • 30 slides

Section 5.1

Section 5.1. What is Probability?. Probability. Probability is a numerical measurement of likelihood of an event. The probability of any event is a number between zero and one . Events with probability close to one are more likely to occur.

399 views • 25 slides

Applications of Spatial Statistics in Ecology

Applications of Spatial Statistics in Ecology. Introduction. Why Space?. All entities geographers / ecologists study are located in space Knowledge of spatial location gives us two main pieces of information: Explicit physical location of an object

542 views • 23 slides

15-853:Algorithms in the Real World

15-853:Algorithms in the Real World. Generating Random and Pseudorandom Numbers. Welch brings down McCarthy.

369 views • 22 slides

Secure Key Storage and True Random Number Generation

369 views • 22 slides

CMSC 414 Computer and Network Security Lecture 8

326 views • 20 slides

Computers and Random Numbers

Computers and Random Numbers. Andrew Ross Math Dept., Eastern Michigan Univ. 2009-04-14. Why use random numbers?. Simulating random events: arrivals to a queueing system Poker, backgammon, etc. Doing deterministic computations (like integrals) Cryptography. How Random do you want?.

195 views • 19 slides

9.4 Huffman Trees

348 views • 18 slides

AME 513 Principles of Combustion

AME 513 Principles of Combustion. Lecture 10 Premixed flames III: Turbulence effects. Motivation. Study of premixed turbulent combustion important because Turbulence increases mean flame propagation rate (S T ) and thus mass burning rate (= ? S T A projected )

334 views • 15 slides

Student Dedication to School

Student Dedication to School. Giselle Jacob & Allison Kelly Roth Precal2-Statistics Project. Hypothesis. Statement: If students participate in school-related extra-curricular activities, then they will be less likely to fall asleep in class, because they will feel more connected to school.

278 views • 10 slides

Chapter 11

Chapter 11. Understanding Randomness . Randomness. Many phenomena in the world are random: Nobody can guess the outcome before it happens. When we want things to be fair, usually some underlying set of outcomes will be equally likely Example: Flip a fair coin. Roll a die. Questions.

220 views • 7 slides