'Speed data' diaporamas de présentation

Profiling people

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Kofax Capture 8.0 Overview

Kofax Capture 8.0 Overview. Re-branding and re-packaging. Some familiar component have new names:. Note, You may see some paths have changed to reflect the new names. Kofax Capture 8.0 Features. General Improvements Platforms and File Types Streamlined Operation

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Project Prioritization Using Paramics Microsimulation: A Case Study for the Alameda County Central Freeway Project

Project Prioritization Using Paramics Microsimulation: A Case Study for the Alameda County Central Freeway Project. Presented by: Kevin Chen Project Completed by: Marty Beene/Allen Huang Dowling Associates, Inc. Introduction & Objective.

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PORTA CUSD Energy Savings Project

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SPEED LIMITS

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Casey N. Nolan Masters of Urban and Regional Planning, Candidate

Measuring the Impacts of Speed Reduction Technologies: A Dynamic Advanced Curve Warning System Evaluation. Casey N. Nolan Masters of Urban and Regional Planning, Candidate. Co Authors: Robert L. Bertini, Chris Monsere, Tarek Abou El-Seoud, Edward Anderson.

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Improving Chromatic Dispersion Tolerance in Long-Haul Fibre Links using Coherent OOFDM

Improving Chromatic Dispersion Tolerance in Long-Haul Fibre Links using Coherent OOFDM. M. A. Jarajreh, Z. Ghassemlooy, and W. P. Ng Optical Communications Research Group http://soe.unn.ac.uk/ocr/ School of Computing, Engineering and Information Sciences

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Nick Hermandorfer

The Use of GPS Technology Indoors. Overcoming a Major Obstacle. Nick Hermandorfer. QUICK REVIEW.

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WLAN-GPRS INTEGRATION FOR NEXT-GENERATION MOBILE DATA NETWORKS

WLAN-GPRS INTEGRATION FOR NEXT-GENERATION MOBILE DATA NETWORKS. ????? ??? 692430028. Outline. INTRODUCTION INTEGRATED WLAN AND CELLULAR DATA NETWORKS INTERWORKING ARCHITECTURES CURRENT STANDARDIZATION ACTIVITIES A TIGHT COUPLING ARCHITECTURE A LOOSELY COUPLED ARCHITECTURE

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Osamu Tatebe 1 , Noriyuki Soda 2 , Youhei Morita 3 , Satoshi Matsuoka 4 , Satoshi Sekiguchi 1

CHEP 04 Sep 27, 2004 Interlaken, Switzerland. Gfarm v2: A Grid file system that supports high-performance distributed and parallel data computing. Osamu Tatebe 1 , Noriyuki Soda 2 , Youhei Morita 3 , Satoshi Matsuoka 4 , Satoshi Sekiguchi 1 1 Grid Technology Research Center, AIST

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Legacy over PSN

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The Earth System Grid

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Time-Warner Inc. Joshua Diaz ACG2021 section 080 A term

Time-Warner Inc. Joshua Diaz ACG2021 section 080 A term. Executive Summary.

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XDCS

XDCS. eXtensible Data Cataloging System. Problem. The radar software group relies on capturing very high speed data of low-level digital signals for development. Examples: GRA 5500 ADC capture: 4 GB per hour GWX 70 ADC capture: 100 GB per hour GWX 7000 ADC capture: > GWX 70

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Rami Branitzky CEO, Grok @RamiBranitzky GrokSolutions

Rami Branitzky CEO, Grok @RamiBranitzky www.GrokSolutions.com. Action intelligence for fast data. High velocity data. Expert bottleneck. Time to value. The Problem. High velocity data. Expert bottleneck. Time to value. The Problem. 3,000X. 0.5%. 3 weeks. Ultimate predictive engine.

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Lec 7, Ch4, pp83-99: Spot Speed Studies (Objectives)

Lec 7, Ch4, pp83-99: Spot Speed Studies (Objectives). Know when you need to conduct a speed study and where you should do it Learn how spot speed data can be collected (from the reading) Know how to determine the sample size needed Know how to reduce the collected data

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Guidelines for class design

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Road Traffic Flow & Speed Data Acquisition & Cleaning

Road Traffic Flow & Speed Data Acquisition & Cleaning. Andrew Jellyman & Peter Fallon Birmingham City Council. For each road BUMP requires: The total number of vehicle movements as either: An 18 hour flow, or 18 hourly flows % heavy goods vehicles Vehicle speeds or speed limits Road type

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Neighborhood Traffic Management Program (NTMP) Background

Neighborhood Traffic Management Program (NTMP) Background The NTMP program was develop to promote and maintain the safety and livability of local residential neighborhoods.

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