This document discusses an instrument interface system that provides real-time data acquisition, graphing, instrument control, post processing, archiving, and remote communications capabilities. It can be used to interface with various analytical instruments and experimental setups. The system uses a high-performance multifunctional board with multiple analog and digital input/output channels connected to a computer via USB. Instrument control and data analysis tasks are performed using a combination of macros and worksheets in the Microsoft Excel environment. This allows intuitive, flexible and customizable interfaces to be created without specialized programming.
IC-CAP WaferPro is a new software from Agilent Technologies for automated on-wafer DC, CV, and RF measurements for device modeling. It controls probers, switching matrices, temperature chucks, and instruments like parametric testers. Built-in measurement routines reduce measurement time. It efficiently handles large datasets with options to save data to files or a new IC-CAP database.
The EJX910 multivariable transmitter is an all-in-one instrument, integrating the functions of a differential pressure transmitter, pressure gauge, thermometer, and a flow computer for industrial process measurement and control applications.
USING MINE SITE GAS CHROMATOGRAPHY FOR ACCURATE ANDScot D. Abbott
This document discusses the advantages of using on-site gas chromatography (GC) over handheld detectors for mine gas analysis. GC provides more accurate and reliable analysis of multiple gases compared to handheld detectors which can be influenced by mine conditions. While GC requires experienced personnel and investment, outsourcing GC services to a third party may reduce costs for mines while ensuring quality practices and timely results. Choosing a third party requires vetting their expertise in GC methodology, regulatory knowledge, troubleshooting, and quality control to properly administer a GC program for multiple mine sites.
This talk was given at the ACS meeting in San Francisco 2017. It provides background and examples of using a powerful combination of software and hardware to repair & revive instuments, and to create other measurement systems easily and economically.
LabVIEW 7.1 Tutorial.
Introduction
LabVIEW Introduction
Data Acquisition (DAQ)
Features of LabVIEW
Example
LabVIEW Interface
Lab. Equipment
Goals of the Lab. Work
List of Experiments.
Introduction to TAs and Lab. Technicians.
Conclusions.
MIXED SIGNAL VLSI TECHNOLOGY BASED SoC DESIGN FOR TEMPERATURE COMPENSATED pH...Abhijeet Powar
This document describes the design of a mixed signal system on chip (SoC) for temperature compensated pH measurement. The SoC uses a PSoC5 microcontroller from Cypress Semiconductor with analog and digital programmable blocks. Sensors measure the pH and temperature of a solution. The pH value is corrected using the Nernst equation based on the measured temperature. Experimental results show the SoC pH measurements match a standard pH meter and temperature sensor calibration. The SoC provides an accurate and reliable solution for integrated pH measurement.
Intro to LV in 3 Hours for Control and Sim 8_5.pptxDeepakJangid87
This document provides an introduction to using LabVIEW for virtual instrumentation, control design, and simulation. It discusses using LabVIEW for applications in signal processing, embedded systems, control systems, and measurements. The topics covered include reviewing the LabVIEW environment, the design process of modeling, control design, simulation, optimization, and deployment. Simulation allows testing controllers and incorporating real-world nonlinearities. Constructing models graphically and textually is demonstrated. PID control and designing a PID controller with the Control Design Toolkit is also summarized. Exercises guide creating and displaying a transfer function model and constructing a PID controller.
This document provides an overview of various controllers and control solutions from WEST Control Solutions. It describes general purpose controllers, basic controllers, valve position controllers, plastics controllers, limit controllers, process indicators, profiler controllers, and the MLC 9000+ multi-loop control system. Details are given on features such as input/output options, display sizes, profiling capabilities, data logging, and communication protocols for each product line.
IC-CAP WaferPro is a new software from Agilent Technologies for automated on-wafer DC, CV, and RF measurements for device modeling. It controls probers, switching matrices, temperature chucks, and instruments like parametric testers. Built-in measurement routines reduce measurement time. It efficiently handles large datasets with options to save data to files or a new IC-CAP database.
The EJX910 multivariable transmitter is an all-in-one instrument, integrating the functions of a differential pressure transmitter, pressure gauge, thermometer, and a flow computer for industrial process measurement and control applications.
USING MINE SITE GAS CHROMATOGRAPHY FOR ACCURATE ANDScot D. Abbott
This document discusses the advantages of using on-site gas chromatography (GC) over handheld detectors for mine gas analysis. GC provides more accurate and reliable analysis of multiple gases compared to handheld detectors which can be influenced by mine conditions. While GC requires experienced personnel and investment, outsourcing GC services to a third party may reduce costs for mines while ensuring quality practices and timely results. Choosing a third party requires vetting their expertise in GC methodology, regulatory knowledge, troubleshooting, and quality control to properly administer a GC program for multiple mine sites.
This talk was given at the ACS meeting in San Francisco 2017. It provides background and examples of using a powerful combination of software and hardware to repair & revive instuments, and to create other measurement systems easily and economically.
LabVIEW 7.1 Tutorial.
Introduction
LabVIEW Introduction
Data Acquisition (DAQ)
Features of LabVIEW
Example
LabVIEW Interface
Lab. Equipment
Goals of the Lab. Work
List of Experiments.
Introduction to TAs and Lab. Technicians.
Conclusions.
MIXED SIGNAL VLSI TECHNOLOGY BASED SoC DESIGN FOR TEMPERATURE COMPENSATED pH...Abhijeet Powar
This document describes the design of a mixed signal system on chip (SoC) for temperature compensated pH measurement. The SoC uses a PSoC5 microcontroller from Cypress Semiconductor with analog and digital programmable blocks. Sensors measure the pH and temperature of a solution. The pH value is corrected using the Nernst equation based on the measured temperature. Experimental results show the SoC pH measurements match a standard pH meter and temperature sensor calibration. The SoC provides an accurate and reliable solution for integrated pH measurement.
Intro to LV in 3 Hours for Control and Sim 8_5.pptxDeepakJangid87
This document provides an introduction to using LabVIEW for virtual instrumentation, control design, and simulation. It discusses using LabVIEW for applications in signal processing, embedded systems, control systems, and measurements. The topics covered include reviewing the LabVIEW environment, the design process of modeling, control design, simulation, optimization, and deployment. Simulation allows testing controllers and incorporating real-world nonlinearities. Constructing models graphically and textually is demonstrated. PID control and designing a PID controller with the Control Design Toolkit is also summarized. Exercises guide creating and displaying a transfer function model and constructing a PID controller.
This document provides an overview of various controllers and control solutions from WEST Control Solutions. It describes general purpose controllers, basic controllers, valve position controllers, plastics controllers, limit controllers, process indicators, profiler controllers, and the MLC 9000+ multi-loop control system. Details are given on features such as input/output options, display sizes, profiling capabilities, data logging, and communication protocols for each product line.
On-line, in-situ, and at-line monitoring of batch and continuous processes
Displays up to 15 properties at once and measures up to 30 properties per stream
Optical multiplexing capabilities provide analysis of up to 16 process streams using fiber optic or extractive stream switching
Utilizes process-proven ANALECT® Diamond 20™ Transept™ optical head
SpectraRTS™ software engineered exclusively for on-line monitoring, allowing use by engineers, maintenance personnel, and chemists
All ANALECT® lab and on-line systems share core optical technology, allowing instrument-to-instrument calibration transfers
This document discusses module 1 of a course on modelling and logic simulation. Module 1 covers topics like functional and structural modelling at logic and register levels, types of simulation, delay models, and hazard detection. It also lists recommended textbooks and laboratory assignments involving simulating signature analyzers, implementing compression techniques, and designing event-driven simulation models.
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
This is an overview of architecture with use cases for Apache Apex, a big data analytics platform. It comes with a powerful stream processing engine, rich set of functional building blocks and an easy to use API for the developer to build real-time and batch applications. Apex runs natively on YARN and HDFS and is used in production in various industries. You will learn more about two use cases: A leading Ad Tech company serves billions of advertising impressions and collects terabytes of data from several data centers across the world every day. Apex was used to implement rapid actionable insights, for real-time reporting and allocation, utilizing Kafka and files as source, dimensional computation and low latency visualization. A customer in the IoT space uses Apex for Time Series service, including efficient storage of time series data, data indexing for quick retrieval and queries at high scale and precision. The platform leverages the high availability, horizontal scalability and operability of Apex.
Next Gen Big Data Analytics with Apache Apex discusses Apache Apex, an open source stream processing framework. It provides an overview of Apache Apex's capabilities for processing continuous, real-time data streams at scale. Specifically, it describes how Apache Apex allows for in-memory, distributed stream processing using a programming model of operators in a directed acyclic graph. It also covers Apache Apex's features for fault tolerance, dynamic scaling, and integration with Hadoop and YARN.
- Victor M. Baltazar has over 15 years of experience in quality control engineering and mechatronics. He has a background in quality systems and standards like PPAP, FAIR, APQP, and CP.
- He is bilingual in English and Spanish with expertise in areas such as electrical and mechanical equipment, Microsoft Office, and CAD/CAM software.
- Baltazar held various roles at companies like Gecko Alliance, Micro Precision Calibration Mexico, and SMK Electrónica where he performed tasks like quality inspection, process validation, documentation creation, and equipment calibration.
The Serinus 50 Sulfur Dioxide (SO2) analyser delivers precise and reliable performance at excellent value. It uses proven pulsed UV fluorescent radiation technology to measure SO2 in ambient air (LDL <0.3 ppb, Range 0-20 ppm).
The Serinus range of analysers has been designed using our experience and knowledge gained from operating large air quality monitoring networks for more than 35 years. The result: instruments that integrate seamlessly into continuous monitoring networks.
Apache Big Data EU 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
Stream data processing is becoming increasingly important to support business needs for faster time to insight and action with growing volume of information from more sources. Apache Apex (http://apex.apache.org/) is a unified big data in motion processing platform for the Apache Hadoop ecosystem. Apex supports demanding use cases with:
* Architecture for high throughput, low latency and exactly-once processing semantics.
* Comprehensive library of building blocks including connectors for Kafka, Files, Cassandra, HBase and many more
* Java based with unobtrusive API to build real-time and batch applications and implement custom business logic.
* Advanced engine features for auto-scaling, dynamic changes, compute locality.
Apex was developed since 2012 and is used in production in various industries like online advertising, Internet of Things (IoT) and financial services.
Testing Dynamic Behavior in Executable Software Models - Making Cyber-physica...Lionel Briand
This document discusses testing dynamic behavior in executable software models for cyber-physical systems. It presents challenges for model-in-the-loop (MiL) testing due to large input spaces, expensive simulations, and lack of simple oracles. The document proposes using search-based testing to generate critical test cases by formulating it as a multi-objective optimization problem. It demonstrates the approach on an advanced driver assistance system and discusses improving performance with surrogate modeling.
This document discusses data logging and measurement and control systems from imc. It describes imc's μ-MUSYCS system for synchronously capturing digital and analog signals. A wide range of signal types can be measured including voltages, currents, temperatures, frequencies and digital fieldbus messages. Measurement amplifiers and conditioners support various sensors. Critical software allows configuration of sampling rates, filters and data transfer. Measurement and control systems are important for relating physical measurements, triggering events, long-term testing, and connecting measurements through control mechanisms. Automation in these systems uses discrete, continuous, open and closed loop control to perform synchronized actions in real-time for applications like testing complex mechanical systems.
Spark Summit EU talk by Ram Sriharsha and Vlad FeinbergSpark Summit
This document summarizes an online machine learning framework called Structured Streaming that is being developed for Apache Spark. Some key points:
- It allows machine learning algorithms to be applied continuously to streaming data and update models incrementally in an online fashion.
- Models are updated every time interval (e.g. every second) based on new data within that interval. This provides an approximation of processing all data to date.
- It uses a stateful aggregation approach to allow models to be updated and merged across distributed partitions in a way that is deterministic but not necessarily commutative.
- APIs are provided for common online learning algorithms like online logistic regression and gradient descent to interface with streaming data sources and sinks.
This document describes the LED Driver Aging Rack (LEDRACK-100W192P) from Lisun Electronics Inc. The rack can test up to 192 LED driver products simultaneously based on standards like IEC62384 and GB24825-2009. It includes the aging rack, control system, and LED load modules. The aging rack has 6 layers to test drivers under various load modes and conditions while the control system software monitors and records testing data in real-time.
This document describes the LED Driver Aging Rack (LEDRACK-100W192P) from Lisun Electronics Inc. The rack can test up to 192 LED driver products simultaneously based on standards like IEC62384 and GB24825-2009. It includes the aging rack, control system, and LED load modules. The aging rack is over 20 feet long and can accommodate different driver output interfaces. The control system software allows setting test parameters and monitoring results in real-time.
Overcoming challenges of_verifying complex mixed signal designsPankaj Singh
Efficient and Innovative Digital Mixed-Signal (DMS) verification methodology is required to enable effective verification of RX path of SERDES. This presentation describes the usage of Real value models and Capture -Verify approach to verify complex high speed mixed signal design.
Real value models are the backbone of DMS methodology. Real value models are created for all critical modules in Receive path like Equalizer and Sampler and its associated peripheral modules. It is critical to make sure created models are functionally equivalent to respective designs. This is achieved by verifying each created model with respective designs for all functional modes. While the Real Value models are effective in meeting overcoming the simulation performance bottleneck by achieving 10x faster simulation time; the Nonlinearity factors of the front-end design are not represented accurately in discrete domain real value models for next generation of SerDes Design at very high data rate.
To overcome this problem, a novel approach called ‘capture and verify’ is used for verifying the jitter tolerance and eye parameters. In this approach, waveforms from spice level verification of Equalizer for different functional modes are captured and stored. These stored waveforms are used to generate run time table-based models to accurately represent the analog modules. These run time models are used in top-level simulations along with real value models thereby achieving required goal of simulation performance without compromising on accuracy of results.
The complete Design Verification (DV) environment is developed using UVM-e Methodology. Verification environment contains model for transmitter with all de-emphasis settings along with protocol compliant channels with multiple attenuations. DV infrastructure has hooks to plug-in required channel models to verify SERDES. This verification environment is also capable of verifying the clock data recovery (CDR) path of the design using protocol compliant jitter and Spread-Spectrum Clocking (SSC) stimulus.
The real value modelling bridges the gap between the performance requirements of the simulation and accuracy limitations of design. A significant speed-up in simulation performance is achieved (almost 10X in this case) by replacing with functionally equivalent real value models for mixed signal designs. Usage of Capture and Verify methodology with spice simulation waveforms for critical blocks ensures non-linearity of the next generation high speed SerDes design is well captured in simulations provide complete comprehensive solution for high speed mixed signal designs.
This document provides an overview of a course on measurement and instrumentation. The course covers both theoretical and practical topics related to instrumentation. It includes 3 credits of theory lectures and 1 credit of laboratory work. Some key topics that will be covered in theory include measurement concepts, instrumentation components and systems, calibration, and measurement of variables like flow, pressure and temperature. The practical sessions will involve using equipment like multimeters, thermometers and Arduino for measurements and statistics. Students will also complete a project to develop a temperature measurement instrument using Arduino. Guidelines are provided around attendance, assignments, evaluations and conduct for the course.
The document provides an overview of microprocessor-based instrumentation systems. It discusses how microprocessors are able to perform complex tasks from basic computations through programs. Microprocessor-based instrumentation systems offer benefits like being multipurpose, providing immense computational power and data analysis capabilities, enabling automation and control, and allowing for data logging and remote transmission. While offering improved efficiency and accuracy over traditional systems, microprocessor-based systems also involve additional complexity, costs, and programming requirements.
The GR-820 is an advanced airborne gamma-ray spectrometer system that combines detector gain control and spectrometer functions into a single compact unit. It utilizes state-of-the-art signal processing to provide accurate analysis with ease of use. The system features automatic gain control for each detector crystal, high-resolution spectral analysis, and flexible output capabilities. It provides a fully integrated solution optimized for multi-detector airborne gamma-ray spectroscopy applications.
Research on Power Quality Real-Time Monitoring System For High Voltage Switch...IJRESJOURNAL
ABSTRACT: As an important equipment of high voltage switch cabinet distribution plays a key role in the power system of power generation, transmission and distribution of electricity, and monitoring the operation of electrical parameters, based on virtual instrument technology, make full use of the data processing, data analysis, data expression and network function and other advantages, build a set based on the LabVIEW real-time power quality monitoring system innovatively applied in high-voltage switch cabinet. Through building a power quality monitoring platform based on high voltage switchgear in the laboratory, the accuracy of the system measurement is verified. The experimental results show that the design of power quality real-time monitoring system has good performance, high accuracy, friendly interface, and has a good market prospect.
Computing Just What You Need: Online Data Analysis and Reduction at Extreme ...Ian Foster
This document discusses computing challenges posed by rapidly increasing data scales in scientific applications and high performance computing. It introduces the concept of online data analysis and reduction as an alternative to traditional offline analysis to help address these challenges. The key messages are that dramatic changes in HPC system geography due to different growth rates of technologies are driving new application structures and computational logistics problems, presenting exciting new computer science opportunities in online data analysis and reduction.
On-line, in-situ, and at-line monitoring of batch and continuous processes
Displays up to 15 properties at once and measures up to 30 properties per stream
Optical multiplexing capabilities provide analysis of up to 16 process streams using fiber optic or extractive stream switching
Utilizes process-proven ANALECT® Diamond 20™ Transept™ optical head
SpectraRTS™ software engineered exclusively for on-line monitoring, allowing use by engineers, maintenance personnel, and chemists
All ANALECT® lab and on-line systems share core optical technology, allowing instrument-to-instrument calibration transfers
This document discusses module 1 of a course on modelling and logic simulation. Module 1 covers topics like functional and structural modelling at logic and register levels, types of simulation, delay models, and hazard detection. It also lists recommended textbooks and laboratory assignments involving simulating signature analyzers, implementing compression techniques, and designing event-driven simulation models.
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
This is an overview of architecture with use cases for Apache Apex, a big data analytics platform. It comes with a powerful stream processing engine, rich set of functional building blocks and an easy to use API for the developer to build real-time and batch applications. Apex runs natively on YARN and HDFS and is used in production in various industries. You will learn more about two use cases: A leading Ad Tech company serves billions of advertising impressions and collects terabytes of data from several data centers across the world every day. Apex was used to implement rapid actionable insights, for real-time reporting and allocation, utilizing Kafka and files as source, dimensional computation and low latency visualization. A customer in the IoT space uses Apex for Time Series service, including efficient storage of time series data, data indexing for quick retrieval and queries at high scale and precision. The platform leverages the high availability, horizontal scalability and operability of Apex.
Next Gen Big Data Analytics with Apache Apex discusses Apache Apex, an open source stream processing framework. It provides an overview of Apache Apex's capabilities for processing continuous, real-time data streams at scale. Specifically, it describes how Apache Apex allows for in-memory, distributed stream processing using a programming model of operators in a directed acyclic graph. It also covers Apache Apex's features for fault tolerance, dynamic scaling, and integration with Hadoop and YARN.
- Victor M. Baltazar has over 15 years of experience in quality control engineering and mechatronics. He has a background in quality systems and standards like PPAP, FAIR, APQP, and CP.
- He is bilingual in English and Spanish with expertise in areas such as electrical and mechanical equipment, Microsoft Office, and CAD/CAM software.
- Baltazar held various roles at companies like Gecko Alliance, Micro Precision Calibration Mexico, and SMK Electrónica where he performed tasks like quality inspection, process validation, documentation creation, and equipment calibration.
The Serinus 50 Sulfur Dioxide (SO2) analyser delivers precise and reliable performance at excellent value. It uses proven pulsed UV fluorescent radiation technology to measure SO2 in ambient air (LDL <0.3 ppb, Range 0-20 ppm).
The Serinus range of analysers has been designed using our experience and knowledge gained from operating large air quality monitoring networks for more than 35 years. The result: instruments that integrate seamlessly into continuous monitoring networks.
Apache Big Data EU 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
Stream data processing is becoming increasingly important to support business needs for faster time to insight and action with growing volume of information from more sources. Apache Apex (http://apex.apache.org/) is a unified big data in motion processing platform for the Apache Hadoop ecosystem. Apex supports demanding use cases with:
* Architecture for high throughput, low latency and exactly-once processing semantics.
* Comprehensive library of building blocks including connectors for Kafka, Files, Cassandra, HBase and many more
* Java based with unobtrusive API to build real-time and batch applications and implement custom business logic.
* Advanced engine features for auto-scaling, dynamic changes, compute locality.
Apex was developed since 2012 and is used in production in various industries like online advertising, Internet of Things (IoT) and financial services.
Testing Dynamic Behavior in Executable Software Models - Making Cyber-physica...Lionel Briand
This document discusses testing dynamic behavior in executable software models for cyber-physical systems. It presents challenges for model-in-the-loop (MiL) testing due to large input spaces, expensive simulations, and lack of simple oracles. The document proposes using search-based testing to generate critical test cases by formulating it as a multi-objective optimization problem. It demonstrates the approach on an advanced driver assistance system and discusses improving performance with surrogate modeling.
This document discusses data logging and measurement and control systems from imc. It describes imc's μ-MUSYCS system for synchronously capturing digital and analog signals. A wide range of signal types can be measured including voltages, currents, temperatures, frequencies and digital fieldbus messages. Measurement amplifiers and conditioners support various sensors. Critical software allows configuration of sampling rates, filters and data transfer. Measurement and control systems are important for relating physical measurements, triggering events, long-term testing, and connecting measurements through control mechanisms. Automation in these systems uses discrete, continuous, open and closed loop control to perform synchronized actions in real-time for applications like testing complex mechanical systems.
Spark Summit EU talk by Ram Sriharsha and Vlad FeinbergSpark Summit
This document summarizes an online machine learning framework called Structured Streaming that is being developed for Apache Spark. Some key points:
- It allows machine learning algorithms to be applied continuously to streaming data and update models incrementally in an online fashion.
- Models are updated every time interval (e.g. every second) based on new data within that interval. This provides an approximation of processing all data to date.
- It uses a stateful aggregation approach to allow models to be updated and merged across distributed partitions in a way that is deterministic but not necessarily commutative.
- APIs are provided for common online learning algorithms like online logistic regression and gradient descent to interface with streaming data sources and sinks.
This document describes the LED Driver Aging Rack (LEDRACK-100W192P) from Lisun Electronics Inc. The rack can test up to 192 LED driver products simultaneously based on standards like IEC62384 and GB24825-2009. It includes the aging rack, control system, and LED load modules. The aging rack has 6 layers to test drivers under various load modes and conditions while the control system software monitors and records testing data in real-time.
This document describes the LED Driver Aging Rack (LEDRACK-100W192P) from Lisun Electronics Inc. The rack can test up to 192 LED driver products simultaneously based on standards like IEC62384 and GB24825-2009. It includes the aging rack, control system, and LED load modules. The aging rack is over 20 feet long and can accommodate different driver output interfaces. The control system software allows setting test parameters and monitoring results in real-time.
Overcoming challenges of_verifying complex mixed signal designsPankaj Singh
Efficient and Innovative Digital Mixed-Signal (DMS) verification methodology is required to enable effective verification of RX path of SERDES. This presentation describes the usage of Real value models and Capture -Verify approach to verify complex high speed mixed signal design.
Real value models are the backbone of DMS methodology. Real value models are created for all critical modules in Receive path like Equalizer and Sampler and its associated peripheral modules. It is critical to make sure created models are functionally equivalent to respective designs. This is achieved by verifying each created model with respective designs for all functional modes. While the Real Value models are effective in meeting overcoming the simulation performance bottleneck by achieving 10x faster simulation time; the Nonlinearity factors of the front-end design are not represented accurately in discrete domain real value models for next generation of SerDes Design at very high data rate.
To overcome this problem, a novel approach called ‘capture and verify’ is used for verifying the jitter tolerance and eye parameters. In this approach, waveforms from spice level verification of Equalizer for different functional modes are captured and stored. These stored waveforms are used to generate run time table-based models to accurately represent the analog modules. These run time models are used in top-level simulations along with real value models thereby achieving required goal of simulation performance without compromising on accuracy of results.
The complete Design Verification (DV) environment is developed using UVM-e Methodology. Verification environment contains model for transmitter with all de-emphasis settings along with protocol compliant channels with multiple attenuations. DV infrastructure has hooks to plug-in required channel models to verify SERDES. This verification environment is also capable of verifying the clock data recovery (CDR) path of the design using protocol compliant jitter and Spread-Spectrum Clocking (SSC) stimulus.
The real value modelling bridges the gap between the performance requirements of the simulation and accuracy limitations of design. A significant speed-up in simulation performance is achieved (almost 10X in this case) by replacing with functionally equivalent real value models for mixed signal designs. Usage of Capture and Verify methodology with spice simulation waveforms for critical blocks ensures non-linearity of the next generation high speed SerDes design is well captured in simulations provide complete comprehensive solution for high speed mixed signal designs.
This document provides an overview of a course on measurement and instrumentation. The course covers both theoretical and practical topics related to instrumentation. It includes 3 credits of theory lectures and 1 credit of laboratory work. Some key topics that will be covered in theory include measurement concepts, instrumentation components and systems, calibration, and measurement of variables like flow, pressure and temperature. The practical sessions will involve using equipment like multimeters, thermometers and Arduino for measurements and statistics. Students will also complete a project to develop a temperature measurement instrument using Arduino. Guidelines are provided around attendance, assignments, evaluations and conduct for the course.
The document provides an overview of microprocessor-based instrumentation systems. It discusses how microprocessors are able to perform complex tasks from basic computations through programs. Microprocessor-based instrumentation systems offer benefits like being multipurpose, providing immense computational power and data analysis capabilities, enabling automation and control, and allowing for data logging and remote transmission. While offering improved efficiency and accuracy over traditional systems, microprocessor-based systems also involve additional complexity, costs, and programming requirements.
The GR-820 is an advanced airborne gamma-ray spectrometer system that combines detector gain control and spectrometer functions into a single compact unit. It utilizes state-of-the-art signal processing to provide accurate analysis with ease of use. The system features automatic gain control for each detector crystal, high-resolution spectral analysis, and flexible output capabilities. It provides a fully integrated solution optimized for multi-detector airborne gamma-ray spectroscopy applications.
Research on Power Quality Real-Time Monitoring System For High Voltage Switch...IJRESJOURNAL
ABSTRACT: As an important equipment of high voltage switch cabinet distribution plays a key role in the power system of power generation, transmission and distribution of electricity, and monitoring the operation of electrical parameters, based on virtual instrument technology, make full use of the data processing, data analysis, data expression and network function and other advantages, build a set based on the LabVIEW real-time power quality monitoring system innovatively applied in high-voltage switch cabinet. Through building a power quality monitoring platform based on high voltage switchgear in the laboratory, the accuracy of the system measurement is verified. The experimental results show that the design of power quality real-time monitoring system has good performance, high accuracy, friendly interface, and has a good market prospect.
Computing Just What You Need: Online Data Analysis and Reduction at Extreme ...Ian Foster
This document discusses computing challenges posed by rapidly increasing data scales in scientific applications and high performance computing. It introduces the concept of online data analysis and reduction as an alternative to traditional offline analysis to help address these challenges. The key messages are that dramatic changes in HPC system geography due to different growth rates of technologies are driving new application structures and computational logistics problems, presenting exciting new computer science opportunities in online data analysis and reduction.
2. 2
Dr. Scot D. Abbott
Bio Details
• Director of R&D, Phoenix First Response
• DuPont Central Research (29 years)
• Developed Several Instruments and Tests
– Reaction Detection Gas Chromatograph (1968,1970)
– HPLC Detectors, Columns and Applications (1973-80)
– High Temperature High Speed GPC (1974)
– GPC Data System with Broad Std Calibration (1976)
– Viscosity Detector for GPC and HPLC (1980)
– Light Scattering Particle Counter (1985)
– High Accuracy Relative Viscometer (1987)
– Electrochemical Hematocrit Device (1986)
– Particle Based Immunoassays (1985)
– Rotational Viscometer (2000)
– Instrument Interface System (2016)
3. Our Labs Needed Instrument
Interfaces For Several Projects
• GC for Dedicated Analysis
– Multi-column , Multi-Detector
– Automation and Remote Operation Options
– Required an Instrument Interface
• Other Analyzers and Experimentation
– Mechanical Testers
– Thermal Studies, Polymerizations
– Polymer Characterization, Flow Injection
Analyzers
– Instron Controller Replacements
– Required Instrument Interfaces
(Some not Available)
4. Common Commercial
Choices
• ‘Complete’ Systems For Specific Instrument Type
– Clumsy, Difficult, Expensive to Upgrade or Program
– Dedicated to One Instrument or Instrument Type
– Few Data Channels, Limited, Dedicated Input types
– Must Train Techs on Each Different Instrument Personality
– Required Specific Computer OS, etc.
– Captured/Captive Market & Slave to Software Vendor
• ‘Custom’ Hardware and Software
– High Resolution (Wide Dynamic Range) = Expensive
– Each Has Different Application Software
– Custom Software + Custom Boards = Expensive and Awkward
– Proprietary Software = Limited Market Base, Limited Support
5. Instrument Interface Tasks
are
EssentiallytheSameforAll Instruments
– Provide User Interface (Inputs, Real Time Displays)
– Take in Sensor Data (Various Types, Resolution, Speed)
– Control Instrument/Experiment (Set Up Conditions, etc.)
– Get, Store, Archive Raw Data
– Retrieve & Treat Raw Data; Evaluate & Compare Results
– Prepare Reports & Archive Results
– Automate Process (Sample Queue, Method Files, etc.)
– Communicate Externally (Remote Operation, Reporting)
7. • High Performance Multifunctional Board with USB
– High Resolution (24 bit)
– Multichannel, Expandable
– Analog, Digital IN & OUT Channels, RS-485
– Frequency, Current Loop Options
– High Input Impedance (1013
Ohms)
– Use with Electrodes Directly
– High Sensitivity (Sub-Microvolt)
– Use with Thermocouples Directly
– High and Low Level Signals Simultaneously
– KHz to Sub Hz capability
• Multi-board Expandability
Hardware & Software
Combination
Bad Hardware Gives Bad Data, and There’s No Fix For Bad Data
More Ports, More Applications
9. Software and Hardware
Combination
No Need for Programmers or Special Programming Languages (e.g. C ++
, etc.)
• Microsoft Excel®
for Graphics, Instrument and Data Control
– Simple Named Macros for Instrument & Device Control Tasks
– Analog In, Analog Out, Digital In, Digital Out, Frequency In and Out, etc.
– Serial Communications Protocol Structure for RS-232 and RS-485 Devices
– Workbooks and Templates for Simplicity and Flexibility
– Easy To Use, and Modify by Scientists and Engineers
– Easy to Add Functionality and Controls, Use & Add Math Tools
– Easy to Create Whole Instrument Personality
– Easy to Program with Macro Recorder
– Macro Recorder: “Cut and Paste” Programming
– Use with XP, Win7, Win10, Excel 2007-2013, 32 or 64 bit versions
– Stable Product with Very Large User Base and Support
– No Need for Esoteric Programming Language or Programmer
10. Macro >Worksheet >Workbook > Template
Architecture
• Simple Macros for Simple Tasks
– (e.g. Com_A.Write, Get_Dig1_In)
• Multi-macro Procedures for More Complex Tasks
– (e.g. DoScan, DoControl, Get_Next_Sample )
• Worksheets For Major Functionality
– (e.g. User interfaces, Calibration Methods, Run Methods)
• Workbook for Whole Instrument Personality
• Templates For Complete Application
– GC (Run Routine Samples)
– GC (Methods Development)
– Viscometer
– Shear Tester
10
11. Common Worksheet Tasks
Mix and Match, Modify, or “Roll Your Own”
•User Input (Control Buttons, Input Box, Forms, Tabs)
•Real Time Strip Chart and Run Control
•Data Comparison (Retrieve Data and Compare)
•Data Analysis (Peak Detection, Calibration)
•Method Development and Dedicated Templates
•Sample Queue and Automation
12. Application Examples
Mix and Match Tasks
• User Interfaces for Different Kinds of Activities
– Shear Data Reporter (Control Buttons, Tabs)
– General Purpose Interface (1 Form and 2 Worksheets)
– ‘All in One’ Style (Dedicated Shear Tester)
• Control Worksheets
– Hardware Control
– Software Control
• Post Processing
– Reconcile Data in Different File Formats
– Data Comparisons (Methods Development, Reports, etc.)
– Quantitation of Results From Data Files
– Report Preparation
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13. Retrieve Data and Prepare Report
Data from CSV File (From Instron® Shear Tester w/ S9 software)
18. Post Processing Data
(Using Macros, Worksheets, and Templates)
• Examine Data
– Add Derivatives, Tangents, Smoothing
– Adjust Offsets, Gains, etc.
– Detect and Treat Peaks (Start, Stop,
Integrate, etc. )
– Define Baseline (Start and Stop)
– Integration, Calibration, Correlations, etc.
• Compare Data Sets (Can Be Variable Length)
• Prepare and Archive Reports
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29. Control Sheet : Control Instrument
Example: Digital Out
Output Channel Dig 1 Dig2 Dig 3 Dig4 Dig5 Dig6 Dig7 Dig8
Control On/Off
Control Type
Parameter 1
Parameter 2
Parameter 3
Controlled Output
Action When Low
Input Channel
Measured Value
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30. Control Sheet : Control Instrument
Example: Analog Out
Analog Output (AO) Controllers
Output Channel AO1 AO2 AO3
Control On/Off OFF OFF OFF
Control Type
Parameter 1 1.000 0.000 0.000
Parameter 2 0.050 1.000 1.000
Parameter 3 0.050 0.000 0.000
Action When Low ON ON ON
Input Channel
Measured Value
Control Voltage 0.000 0.000 0.000
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Control Types And Parameters
Param Simple Diff PID
P1 SetPoint SetPoint SP, K P
P2 Deadband Deadband K I
P3 Scalar Diff Gain K D
33. Summary
• High Performance Electronics with USB
• Multiple I/O Ports, Many Input & Output Types
• Excel®
Environment for Acquisition and Control
• System Makes Full Use of Excel®
Graphics and Math Tools
• Macro > Worksheet > Workbook > Template Structure
• User Interfaces, Strip Charting, Data Treatment Tools
• Methods Development and Routine Run Templates
• Sample Queue, Automation, Remote Operation
• Methods Files (Run Conditions, Data Treatment)
– Reporting, Archiving
– Remote Operation
34. Key Advantages
• No Need for Specialized Programming
• Fast, Inexpensive Application Startup
•Flexible, Easy to Use, Easy to Customize
•Widely Applicable to Many Situations
•Large Market Base for Knowledge & Support
•Modest Cost
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35. Many Areas of Application
• Record Experiments and Custom Measurements
• Prototype New, Evolving Instruments, Measurements
• Retrofit to Instruments
– With ‘Broken’ Controllers
– Lost, Obsolete Software
– Upgrade Capabilities, Add Communications
• Unify Formats (Reports, User Interfaces, Data)
• Decrease Costs (Service, Training)
• New Measurement Capabilities