'Task model' presentation slideshows

Performance evaluation of Urban Mesh Networks

Performance evaluation of Urban Mesh Networks. Vinay Sridhara Department of Electrical Engineering University of Delaware. Overview. Motivation Simulation Environment Mobility models Propagation models Simulation methodology Simulation parameters Performance evaluation Coverage

710 views • 53 slides

User Interface Models IV: ( Design Level )

520 views • 37 slides

Perception, Cognition for Virtual Trainer

Perception, Cognition for Virtual Trainer. Speaker: Wenjian Xiong. Abstract.

458 views • 34 slides

PORTAL! An Intranet Game

PORTAL! An Intranet Game. Workshop on Planning, Design and Implementation KMWorld 2005 November 14, 2005. Peter Jones, Nick Kizirnis Redesign Research. Getting Started. Welcome, Who we Are Peter Jones, Redesign Research Nick Kizirnis, LexisNexis Getting to know you

434 views • 32 slides

Concept Phase

Concept Phase. You did the contextual research, observed and analyzed. (Right?). Now it's time to start ... . Now it's time to start ... con-cep-tu-a-li-zing. . Affinity Diagrams. Decoding meaning from (semi-)chaotic brainstorming.

494 views • 31 slides

Chapter 1: Introduction

Chapter 1: Introduction. Requirements for this Class. You are proficient in a programming language, but you have no or limited experience in analysis or design of a system You want to learn more about the technical aspects of analysis and design of complex software systems.

432 views • 29 slides

A Common Ground for Virtual Humans:

A Common Ground for Virtual Humans:. Using an Ontology in a Natural Language Oriented Virtual Human Architecture. Arno Hartholt (ICT), Thomas Russ (ISI), David Traum (ICT), Eduard Hovy (ISI), Susan Robinson (ICT) 05/30/2008. Overview. Virtual Humans Project Challenge

454 views • 29 slides

System: Teallach Presenters: Baolinh Le, [Bryce Carder] Course: Knowledge-based User Interfaces

Teallach: A Model-Based User Interface Development Environment of Object Databases Tony Griffiths, Peter J. Barclay, Jo McKirdy, Norman W. Paton, Philip D. Gray, Jessie Kennedy, Richard Cooper, Carole A. Goble, Adrian West and Michael Smyth. System: Teallach

361 views • 27 slides

A Unified Model of IT Use Choices: Contributions from TAM, TTF, and CSE

A Unified Model of IT Use Choices: Contributions from TAM, TTF, and CSE. Diane M. Strong* Worcester Polytechnic Institute Invited Presentation First Annual Workshop on HCI Research in MIS Barcelona, Spain 2002 * This is joint work with Mark T. Dishaw, University of Wisconsin Oshkosh.

581 views • 22 slides

A New Task Model for Streaming Applications and its Schedulability Analysis

A New Task Model for Streaming Applications and its Schedulability Analysis. Samarjit Chakraborty Lothar Thiele. National University of Singapore. ETH Zurich. Background. Stream Processing Applications Process a potentially infinite stream of data Data items/events are typed

346 views • 22 slides

Designing Context-Sensitive User Interfaces

Designing Context-Sensitive User Interfaces. Overview. Introduction Context Architectures DynaMo-AID: designing context-aware user interfaces Design Process Runtime Architecture Demo Prototype DynaMo-AID. Introduction. Static vs. Dynamic Context Dynamic Context

358 views • 22 slides

Helping Students Take a Greater Responsibility for Their Learning

Helping Students Take a Greater Responsibility for Their Learning.

376 views • 20 slides

The Pros and Pitfalls of Cross-Training

The Pros and Pitfalls of Cross-Training . Amy Beckham Osborne University of Kentucky College of Law Library. Looking toward Cross Training. Why cross-train? Where is cross-training being done? Cross-training and Law Libraries Pros Pit-falls. Why Cross-Train. Improve productivity

558 views • 20 slides

Citizens, stakeholders and designers: Modeling for user diversity

Citizens, stakeholders and designers: Modeling for user diversity. Florence Pontico Marco Winckler http://liihs.irit.fr/ { pontico, winckler }@irit.fr. eGovernment design / model-based approach / modeling requirements / tool requirements / perspectives.

257 views • 15 slides

An On-line Approach to Reduce Delay Variations on Real-Time Operating Systems

An On-line Approach to Reduce Delay Variations on Real-Time Operating Systems. Shengyan Hong. Delay Variation. What is delay variation? Difference between the max delay and the min delay of a real-time task. WCRT i (BCRT i ): the worst (best) case response time of the task i.

273 views • 13 slides

Robert Davis Real-Time Systems Research Group, University of York

Global Fixed Priority Pre-emptive Scheduling: What is the arrival pattern that leads to the worst-case response time?. Robert Davis Real-Time Systems Research Group, University of York. Question scope. Homogeneous Multiprocessor Real-Time Systems Global scheduling Single global run-queue

258 views • 12 slides

Background of Assignment

Background of Assignment. A large international Telecom company is looking for possible new mobile communication services for the European and North-American market. Five years from now, mobile services should be available for groups with special needs. Groups with special needs.

223 views • 12 slides

Using the PADI Design System to Examine the Features of a NAEP Performance Assessment

AERA April 2005. Using the PADI Design System to Examine the Features of a NAEP Performance Assessment. Kathleen C. Haynie Kathleen Haynie Consulting Andrea A. Lash, Geneva D. Haertel, Edys S. Quellmalz, Angela Haydel DeBarger SRI International. 2. Background.

397 views • 11 slides

An On-line Approach to Reduce Delay Variations on Real-Time Operating Systems

An On-line Approach to Reduce Delay Variations on Real-Time Operating Systems. Shengyan Hong. Problem. Reduce Delay Variations of Tasks. Why Important?. Delay Variations degrade hardware performance, e.g. sluggish response, erroneous behavior. Task Model.

249 views • 11 slides

Task instruction by putting task information in work space

Task instruction by putting task information in work space. Kazuyuki Nagata , Yujin Wakita , and Eiichi Ono National Institute of Advanced Industrial Science and Technology (AIST) Intelligent Systems Research Institute 1-1-1 Umezono, Tsukuba, 305-8568, Japan.

119 views • 1 slides