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GS LTN 002 - V1.1.1 - Low Throughput Networks (LTN
ETSI GS LTN 002 v1 1 1 2014 00 y GROUP SPECIHCATION Low Throughput Networks LTN Functional Architecture Disclaimer This document has been produced and approved by the Low Throughput Networks LTN ETSI Industry Specification Group ISG and represents the views of those members who participated in this ISG It does not necessarily represent the views of the entire ETSI membership 2 ETSI GS LTN 002 V1 1 1 2014 09 Reference DGS LTN 002 Keywords loT |
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Improving Throughput in Network Analyzer Applications
Agilent AN 1287 5 Improving Throughput in Network Analyzer Applications Application Note ss Agilent Technologies f Innovating the HP Way 12 13 15 18 20 20 20 21 22 23 Introduction In today s competitive environment prices for electronic components are continually decreasing Reducing manufacturing cost by improving through put while maintaining product quality is an impor tant goal for many production test engineers and managers The topic o |
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Improved Throughput in Network Analyzer Applications
Keysight Technologies Improving Throughput in Network Analyzer Applications Application Note TECHNOLOGIES Table of Contents 2 ntroduction 3 Throughput Considerations 5 Sweep Speed 12 nstrument State Recall Speed 13 Automation and Data Transfer Speed 15 easurement Accuracy 18 Device Connection Time 20 nstrument Uptime 20 Product Quality 20 Conclusion 21 Checklist for Increasing Measurement Throughput 22 Appendix 23 Third Party Companies |
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ABI 3900 High Throughput DNA Synthesizer
ABI 3900 High Throughput DNA Synthesizer User s Manual 3 Applied KS Biosystems Copyright 2001 Applied Biosystems All rights reserved For Research Use Only Not for use in diagnostic procedures ABI PRISM and its design Aquapore AmpliCover Anitron Biobytes Brownlee FastPhoramidite GeneScan Genotyper HLP INHERIT MicroAmp MicroCoat MPLC NEWGUARD ONESTEP OPC PCR MATE Phosphalink POLYPORE Precipitette ProBlott PROCISE ProFocus ProSort ProSpin |
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User Manual for MEGAN V3.8 - HIGH THROUGHPUT SEQUENCING
User Manual for MEGAN V3 8 Daniel H Huson and Stephan C Schuster with contributions from Alexander F Auch Daniel C Richter Suparna Mitra and Qi Ji February 4 2010 Contents Contents 1 1 Introduction 3 2 Getting Started 5 3 Obtaining and Installing the Program 5 4 Program Overview 6 5 Importing Reading and Writing Files 6 6 The NCBI Taxonomy 7 7 The NCBI NR and NCBI NT Databases 7 8 Identification of COGs 7 9 Assigning Reads to Taxa 8 10 Assigning Reads to Gene On |
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High-Throughput Real-Time Quantitative Reverse
High Throughput Real Time Quantitative Reverse Transcription PCR This unit describes the use of real time quantitative PCR QPCR for high throughput analysis of RNA expression The topics covered include the standard curve method see Basic Protocol 1 production and quantification of RNA standards see Support Protocol 1 an efficiency corrected ACt cycle time also called cycle threshold or crossing point method see Basic Protocol 2 the comparative cycle time or AACt me |
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COMPUTATION CLOUD TO ENABLE HIGH THROUGHPUT
COMPUTATION CLOUD TO ENABLE HIGH THROUGHPUT NEUROIMAGING BY NATHANIEL CRAIG WETTER TAYLOR THESIS Submitted in partial fulfillment of the requirements For the degree of Master of Science in Bioengineering In the Graduate College of the University of Illinois at Urbana Champaign 2015 Urbana Illinois Adviser Associate Professor Bradley P Sutton Abstract Neuroimaging studies require significant computational power in order to perform non linear registrations |
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Throughput Testing Results
Application Note PMAC Throughput Testing Results Research has been conducted to determine the rate at which PMAC can process a motion program This document is intended to give a PMAC user a general idea as to how fast a motion program can be processed based on the data attained and provide the steps that were used to determine this rate In addition this document explains the various boundaries that are reached when pushing PMAC to its computational limit and has suggestions |
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