PPT-Computational Fuzzy Extractors

Benjamin Fuller Xianrui Meng and Leonid Reyzin December 2 2013 Key Derivation from Noisy Sources Physically Unclonable Functions PUFs Biometric Data Goal of this talk provide meaningful security for more sources. The process co nsidered for this experiment shows highly nonlinear behavior due to equal percentage pneumatic control valve NATIONAL INSTRUMENTS based hardware and software tools LabVIEW were used for precise and accurate acquisition measurement and Allow for fractions partial data imprecise data Fuzzify the data you have How red is this 1 RGB value 150255 What Is a Fuzzy Controller What Is a Fuzzy Controller Simply put it is fuzzy code designed to control something usually mechanical They ca The original motivation for extractors was to simulate randomized algorithms with weak random sources as might arise in nature This motivation is still compelling but extractors have taken on a much wider signi64257cance in the years since they were By Andrew Pro. References. Alexander, Thor, “An Optimized Fuzzy Logic Architecture For Decision Making”, . AI Game Wisdom. .. Bonissone. , P. . Piero. and . Cheetham. , William, “Fuzzy Case Based Reasoning For Residential Property Valuation” (. Lecture . 2 Fuzzy Set. Basil Hamed. Electrical Engineering . Islamic University of Gaza. Content. Crisp Sets. Fuzzy Sets. Set-Theoretic . Operations. Extension Principle. Fuzzy . Relations. Dr Basil Hamed. Chapter 12. M. Tim . Jones. See also . http. ://en.wikipedia.org/wiki/Fuzzy_logic. Fuzzy Sets. . Rules of thumb frequently stated in “fuzzy” linguistic terms.. John is . tall. .. If . someone is . and Applications. Divesh. . Aggarwal. *. Yevgeniy. . Dodis. *. Tomasz . Kazana. **. Maciej Obremski **. Non-Malleable Codes from Two-Source Extractors. 1. * New . York . University. ** University . by Wendy Olsen. Thanks to John . McLoughlin. for programming help in Python.. Funded by . British . Academy: . Innovation in Global Labour Research Using Deep Linkage and Mixed Methods . See also . Benjamin . Fuller. , Leonid . Reyzin. , and Adam Smith. Additional Work with . Ran Canetti, . Xianrui. . Meng. , Omer . Paneth. August 26, 2014. Outline. Noisy Authentication Sources. Fuzzy Extractors. Pure fuzzy system. TSK fuzzy systems. Fuzzy system with fuzzier and . defuzzier. Fuzzy system as open-loop controller. Fuzzy system as . closed-loop . controller. Fuzzy washing machine. They were produced by Matsushita Electric Industrial Company in . Basil Hamed. Electrical . Engineering . Islamic University of Gaza. Outline. Introduction, Definitions and . Concepts. Control. Intelligent . Control. History of Fuzzy . Logic. Fuzzy Logic. Fuzzy Control. Syntax. Using an ARDS detection automaton as a working example. Jeroen S. DE BRUIN. 1,2. ,. . Heinz STELTZER. 3. , . Andrea RAPPELSBERGER. 1. , . and . Klaus-Peter ADLASSNIG. 1,2. 1 . Section for Artificial Intelligence and Decision Support, . Proportional logic dan First-Order Logic digunakan untuk merepresentasikan masalah-masalah yang pasti. Digunakan untuk merepresentasikan masalah yang mengandung ketidakpastian. . Dengan teori fuzzy set, kita dapat merepresentasikan dan menangai masalah ketidakpastian yang dalam hal ini bisa berarti keraguan, ketidaktepatan, kekurangan informasi dan kebenaran. 1. Khurshid Ahmad, . Professor of Computer Science,. Department of Computer Science. Trinity College,. Dublin-2, IRELAND. October . 5th, 2011.. https. ://. www.cs.tcd.ie/Khurshid.Ahmad/Teaching/Teaching.html.