'Temporal properties' presentation slideshows

The Birth of Model Checking

The Birth of Model Checking. Edmund M. Clarke Department of Computer Science Carnegie Mellon University. Quote For The Day. When the time is ripe for certain things, these things appear in different places in the manner of violets coming to light in early spring.

544 views • 41 slides

The Birth of Model Checking

The Birth of Model Checking. Edmund M. Clarke Department of Computer Science Carnegie Mellon University. Quote For The Day. When the time is ripe for certain things, these things appear in different places in the manner of violets coming to light in early spring.

543 views • 41 slides

Extracting features from spatio-temporal volumes (STVs) for activity recognition

Extracting features from spatio-temporal volumes (STVs) for activity recognition. Dheeraj Singaraju Reading group: 06/29/06. Motivation for dealing with STVs. Optical flow based methods would be able to capture only first order motion.

551 views • 40 slides

Getting Results From Testing

Getting Results From Testing. Laura K. Dillon Software Engineering and Network Systems Lab Michigan State University www.cse.msu.edu/sens. Overview. Background: Testing The Problem: Temporal Behavior Validation A Solution: Graphical Interval Logic-Based Oracles . PREMISES.

478 views • 40 slides

Maze games, proof games and some others

Maze games, proof games and some others. Wilfrid Hodges Queen Mary, University of London www.maths.qmul.ac.uk/~wilfrid/amsterdam05.ppt. Plan. The Dawkins question and its converse Defeasible non-social aims Some examples Avoiding the Ignorance Requirement Conclusions.

516 views • 38 slides

Conceptual Modeling of Geographic Databases - Emphasis on Relationships among Geographic Databases

Conceptual Modeling of Geographic Databases - Emphasis on Relationships among Geographic Databases. Anders Friis-Christensen National Survey and Cadastre. Outline. Geographic data Conceptual foundation Conceptual modeling What and why Modeling geographic data

715 views • 36 slides

Mining Requirements from Closed Loop Control Models

494 views • 35 slides

408 views • 29 slides

Spatiotemporal and Thematic Semantic Analytics

Matthew Perry PhD. Student Kno.e.sis Center, Wright State University. Spatiotemporal and Thematic Semantic Analytics. Three Dimensions of Information. Temporal Dimension: When. Thematic Dimension: What. North Korea detonates nuclear device on October 9, 2006 near Kilchu, North Korea.

404 views • 29 slides

Spatio-Temporal Compressive Sensing

Spatio-Temporal Compressive Sensing. ACM SIGCOMM 2009 August 20, 2009. Q : How to fill in missing values in a matrix? Traffic matrix Delay matrix Social proximity matrix. Internet Traffic Matrices. Traffic Matrix (TM) Gives traffic volumes between origins and destinations

520 views • 25 slides

LANGUAGE IN CONTEXT (PHONETICS)

534 views • 24 slides

How to Build a Stream Database

447 views • 21 slides

Reasoning about Optimistic Concurrency Using a Program Logic for History

Reasoning about Optimistic Concurrency Using a Program Logic for History. Ming Fu USTC & Yale Joint work with Yong Li, Xinyu Feng , Zhong Shao and Yu Zhang. What is Optimistic Concurrency? . Increments the shared variable x atomically: Optimistic Concurrency

310 views • 20 slides

315 views • 19 slides

Tropos at the Age of 6: Status and Research Directions John Mylopoulos University of Trento March 2, 2006 DIT, UniTN, Tr

277 views • 17 slides

Learning is the process of acquiring new information. Memory is:

298 views • 16 slides

Imposing Restrictions Over Temporal Properties in OWL: A Rule Based Approach

Imposing Restrictions Over Temporal Properties in OWL: A Rule Based Approach. Sotiris Batsakis Euripides G.M. Petrakis Technical university of crete Intelligent systems laboratory. Introduction. Temporal Properties are not binary Representation in OWL involves additional objects

301 views • 15 slides

Component-Interaction Automata for Specification and Verification of Component Interactions

Component-Interaction Automata for Specification and Verification of Component Interactions. P. Vařeková and B. Zimmerova Masaryk University in Brno Czech Republic IFM, 2005. Content. Motivation slide 3 Specification languages 4 - 5

266 views • 15 slides

MORPHOLOGY, PHONOLOGY AND PHONETICS

417 views • 10 slides

Time

Time. tense. A properties: putative temporal properties like pastness , presentness , futurity, being one day future, etc. B relations: two-place temporal relations like earlier than, simultaneous with, later than, one day later than, etc. a-properties and b-properties.

190 views • 7 slides