PPT-Multi-level Abstraction

Techniques A Practical Application Perspective March 2014 Presentation summary on the work in Neumayr B Schrefl M amp Thalheim B 2011 Modeling techniques for multilevel abstraction . Retrieval. Motivation. Experiments. Overall Framework. Multi-Abstraction Concern Localization. Tien-Duy B. Le, Shaowei Wang, and David Lo. {btdle.2012, shaoweiwang.2010,davidlo}@smu.edu.sg. Abstraction. : . Multi-criterion representation . for scene . understanding. Moos . Hueting. ∗ . Aron. . Monszpart. ∗ . Nicolas . Mellado. University College London. https://www.imagestore.ucl.ac.uk/home/pcache/10002/aa/black_ad80e.jpg. of . Multi-class Scatterplots. Haidong . Chen. , . Wei . Chen, . Honghui. . Mei, . Zhiqi. . Liu, Kun Zhou, . Weifeng. Chen, . Wentao. . Gu. , Kwan-Liu Ma. Motivations. Multi-class scatterplots. Aid comparison. Richard Gesick. Abstraction. the mechanism and practice of . abstraction. reduces and factors out details so that one can focus on a few concepts at a time. The concept . originated by analogy with abstraction in . String . Verification. Given a string manipulating program, . string . analysis . determines . all possible values . that a string expression can take during any program execution. Using string analysis we . How to think like nature. Russ . Abbott. Does nature really think?. Complex systems overview. . Part 1.. . Introduction and motivation.. . Overview – unintended consequences, mechanism, function, and purpose; levels of abstraction, emergence, introduction to . Basic understanding of what HTTP is. HTTP like DNS is an ASCII-text based protocol - it’s just two computers sending text messages to each other. . What makes it a protocol are the rules of the “conversation” the two machines are having. . Yen-Sheng Ho. , Alan Mishchenko, Robert Brayton. Word-Level Model Checking. PDR-WLA. 2. Given a word-level (WL) circuit . M. (e.g., RTL Verilog) and a safety property . p. ,. Does . p. hold for all reachable states in . Kenny Denmark. Jason Isenhower. Ross Roessler. Background. A* uses heuristics for efficient searching. Initially, heuristics provided by "expert". Challenge is to have program create heuristics. Way of classifying information from abstract (general) to concrete (specific) . . Level 4:. Abstractions. Level 3: . Noun Classes, broad group names with little specification. Level 2:. Noun Categories, more definite groups. Tien-Duy. B. Le, . Shaowei. Wang, and David Lo. School of Information Systems. Singapore Management University. 1. Motivation. Concern Localization. Locating code units that match a text descriptions. Motivation. Experiments. Overall Framework. Multi-Abstraction Concern Localization. Tien-Duy B. Le, Shaowei Wang, and David Lo. {btdle.2012, shaoweiwang.2010,davidlo}@smu.edu.sg. Abstraction. Hierarchy. Slide . 1. PHY Abstraction for MU-MIMO. Date:. 2010-07-11. Authors: . Name. Affiliations. Address. Phone. email. Riichi Kudo. NTT Corporation. Hikarino-oka Yokosuka-shi Japan. +81-46-859- 3140. kudo.riichi@lab.ntt.co.jp. Slide . 1. PHY Abstraction for MU-MIMO. Date:. 2010-07-11. Authors: . Name. Affiliations. Address. Phone. email. Riichi Kudo. NTT Corporation. Hikarino-oka Yokosuka-shi Japan. +81-46-859- 3140. kudo.riichi@lab.ntt.co.jp.