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.
The SpectraStar XT series has been completely updated with a signal to noise ratio over 100,000, scanning to 2600nm, TAS calibration, and redesigned hardware and software. The TAS calibration allows for accurate long-term calibration without a factory master unit. The new hardware features the highest quality components including a built-in Windows PC and improved detector electronics. The redesigned UScan software provides an intuitive interface and improved data reporting.
This document provides an overview of a data structures revision tutorial. It discusses why data structures are needed, as computers take on more complex tasks and software implementation is difficult without an organized conceptual framework. The tutorial will cover common data structures, how to implement and analyze their efficiency, and how to use them to solve practical problems. It requires programming experience in C/C++ and some Java experience. Topics will include arrays, stacks, queues, trees, hashing, sorting, and graphs. The problem solving process involves defining the problem, designing algorithms, analyzing algorithms, implementing solutions, testing, and maintaining code.
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.
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.
REAL-TIME SIMULATION TECHNOLOGIES FOR POWER SYSTEMS DESIGN, TESTING, AND ANAL...Jithin T
This is the ppt that contains effective elementsof the IEEE research journel "REAL-TIME SIMULATION TECHNOLOGIES FOR POWER
SYSTEMS DESIGN, TESTING, AND ANALYSIS"
Performance modeling provides important insights for capacity planning and system sizing without costly full-scale testing. While sophisticated mathematical modeling was common in the past, today's complex systems are difficult to model formally and existing tools are outdated. However, minimal modeling with common-sense approximations using metrics like resource usage per transaction and hardware capacity can still be useful. Keeping even informal models in mind helps performance engineers understand systems, but complex systems benefit from documenting models. Reviving the art of performance modeling can add value to modern continuous performance testing approaches.
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.
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.
The SpectraStar XT series has been completely updated with a signal to noise ratio over 100,000, scanning to 2600nm, TAS calibration, and redesigned hardware and software. The TAS calibration allows for accurate long-term calibration without a factory master unit. The new hardware features the highest quality components including a built-in Windows PC and improved detector electronics. The redesigned UScan software provides an intuitive interface and improved data reporting.
This document provides an overview of a data structures revision tutorial. It discusses why data structures are needed, as computers take on more complex tasks and software implementation is difficult without an organized conceptual framework. The tutorial will cover common data structures, how to implement and analyze their efficiency, and how to use them to solve practical problems. It requires programming experience in C/C++ and some Java experience. Topics will include arrays, stacks, queues, trees, hashing, sorting, and graphs. The problem solving process involves defining the problem, designing algorithms, analyzing algorithms, implementing solutions, testing, and maintaining code.
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.
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.
REAL-TIME SIMULATION TECHNOLOGIES FOR POWER SYSTEMS DESIGN, TESTING, AND ANAL...Jithin T
This is the ppt that contains effective elementsof the IEEE research journel "REAL-TIME SIMULATION TECHNOLOGIES FOR POWER
SYSTEMS DESIGN, TESTING, AND ANALYSIS"
Performance modeling provides important insights for capacity planning and system sizing without costly full-scale testing. While sophisticated mathematical modeling was common in the past, today's complex systems are difficult to model formally and existing tools are outdated. However, minimal modeling with common-sense approximations using metrics like resource usage per transaction and hardware capacity can still be useful. Keeping even informal models in mind helps performance engineers understand systems, but complex systems benefit from documenting models. Reviving the art of performance modeling can add value to modern continuous performance testing approaches.
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.
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.
A Production Quality Sketching Library for the Analysis of Big DataDatabricks
In the analysis of big data there are often problem queries that don’t scale because they require huge compute resources to generate exact results, or don’t parallelize well.
Chromeleon 7 is a new generation chromatography data system that aims to provide operational simplicity for laboratories. It features several tools to simplify chromatography processes including an intuitive user interface, advanced peak detection algorithms, automated workflow templates called eWorkflows, interactive data visualization charts, and reporting capabilities. Chromeleon 7 can also interface with and control instruments from multiple third-party vendors to provide a single platform for chromatography data handling and analysis.
Application of the Actor Model to Large Scale NDE Data AnalysisChrisCoughlin9
The Actor model of concurrent computation discretizes a problem into a series of independent units or actors that interact only through the exchange of messages. Without direct coupling between individual components, an Actor-based system is inherently concurrent and fault-tolerant. These traits lend themselves to so-called “Big Data” applications in which the volume of data to analyze requires a distributed multi-system design. For a practical demonstration of the Actor computational model, a system was developed to assist with the automated analysis of Nondestructive Evaluation (NDE) datasets using the open source Myriad Data Reduction Framework. A machine learning model trained to detect damage in two-dimensional slices of C-Scan data was deployed in a streaming data processing pipeline. To demonstrate the flexibility of the Actor model, the pipeline was deployed on a local system and re-deployed as a distributed system without recompiling, reconfiguring, or restarting the running application.
QEA designs and manufactures compact portable test instrumentation for industrial applications worldwide. Historically a leader in advanced non-destructive bench-top test equipment for the printing industry.
Smart Manufacturing Requirements forEquipment Capability and ControlKimberly Daich
This document discusses smart manufacturing and how SEMI standards support it. It describes the SEMI Equipment Data Acquisition (EDA) standards which allow equipment to be queried for metadata and process data to be collected. This enables smart factory applications for real-time monitoring, fault detection, analysis, and optimization. The EDA standards also have implications for equipment design like supporting various sensor data sampling and providing built-in control algorithms. The document concludes that the EDA standards directly enable smart manufacturing and equipment suppliers have a key role in implementing them.
It is comprised of the five classical components (input, output, processor, memory, and datapath). The processor is divided into an arithmetic logic unit (ALU) and control unit, a method of organization that persists to the present.
This document discusses instrumentation and measurement techniques used to gather performance data from programs. It describes:
- Program, binary, dynamic, processor, operating system, and network instrumentation techniques to collect data on software components, hardware usage, and network traffic.
- The Paradyn performance analysis tool, which uses dynamic instrumentation to monitor metrics, store data in histograms and traces, and employs a "Why, Where, When" search model to diagnose potential performance problems in parallel applications.
- How the Performance Consultant module in Paradyn automatically searches the problem space defined by the "Why, Where, When" axes to discover performance issues by evaluating hypotheses tests against collected metrics.
Embedded systems are application-specific systems that contain hardware and software tailored for a particular task. They have real-time constraints and include requirements for performance, reliability, and form factor. Models and architectures are used to represent embedded system designs at different levels of abstraction. Hardware/software partitioning is the process of deciding which subsystems are best implemented in hardware versus software to meet performance goals within constraints like size, power, and cost.
Embedded systems are application-specific systems that contain hardware and software tailored for a particular task. Models and architectures are used to represent embedded system designs at different levels of abstraction. Hardware/software partitioning is the process of deciding which functionality is implemented in hardware versus software to meet performance and other constraints. There are various approaches to partitioning including functional decomposition, allocation of components, and using metrics to evaluate different partitions. Specification languages are used to capture system functionality in a way that supports partitioning.
Smarter Manufacturing through Equipment Data-Driven Application DesignKimberly Daich
Author relates a number of specific Smart Manufacturing objectives to the applications required to achieve them and show how the standards-based equipment models directly support their respective algorithms. By Alan Weber of Cimetrix, Inc and Mark Reath from Globalfoundries
Incremental Queries and Transformations for Engineering Critical SystemsÁkos Horváth
This document discusses incremental queries and transformations for engineering critical systems. It describes how model transformations can be used in critical systems engineering to enable early validation of system models. It presents EMF-IncQuery and VIATRA, which allow for incremental queries and transformations over models. These technologies have been applied in various industrial domains including avionics, automotive, and telecommunications. The talk concludes by discussing some of the industrial applications and contributors to this work.
Apache Big Data 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
Apache Apex is a next gen big data analytics platform. Originally developed at DataTorrent 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 about the Apex architecture, including its unique features for scalability, fault tolerance and processing guarantees, programming model and use cases.
http://apachebigdata2016.sched.org/event/6M0L/next-gen-big-data-analytics-with-apache-apex-thomas-weise-datatorrent
Why test automation is getting more difficult, and what can be done about it. This slides are from a presentation by Group Director, Product Management at TestPlant, Gordon McKeown, which was presented at the Northern Lights conference in Manchester in April 2016.
Design Like a Pro: How to Pick the Right System ArchitectureInductive Automation
Whether your automation project has only a few tags or hundreds of thousands of tags, you need to make sure that it will work properly now and that it has enough room to grow in the future. Having the right architecture and server sizes are absolutely essential in reaching this goal.
Deterministic and high throughput data processing for CubeSatsPablo Ghiglino
This presentation shows how Klepsydra (www.klepsydra.com) can increase up to 20% data processing in Space on-board computers with limited resources, like those for CubeSats. Not only that, Klepsydra can also substantially increase determinism for Space applications.
WQD2011 - INNOVATION - DEWA - Substation Signal Analyzer SoftwareDubai Quality Group
Innovation case study submitted by DEWA during 3rd Continual Improvement & Innovation Symposium organized by Dubai Quality Group's Continual Improvement Subgroup to celebrate World Quality Day 2011.
Deep dive into service fabric after 2 yearsTomasz Kopacz
How to use more advanced capabilities built-in into service fabric. How to create scalable and FAST applications. When to choose stateless, statefull and actor services. How to deploy any exe to service fabric.
Samples: https://github.com/tkopacz/2016DeveloperDays
1. An Introduction to Embed Systems_DRKG.pptxKesavanGopal1
This document provides an overview of embedded systems. It defines an embedded system as an electronic system designed to perform a specific function, combining both hardware and software. Embedded systems are distinguished from general purpose systems in that they have application-specific hardware and software designed for a dedicated function. The document classifies embedded systems based on generation, complexity/performance, deterministic behavior, and triggering. It discusses key aspects of embedded systems like purpose, applications, design challenges involving cost, size, power and more. Overall, the document introduces the basic concepts of embedded systems.
The document provides an overview of operating systems, including:
- An operating system manages hardware and provides services to computer programs through a cycle of hardware, OS, applications, and users. Real-time OS are for executing real-time applications with predictable responses to events.
- Common operating systems include Unix, Linux, Mac, Windows, Android, AIX, HP-UX, and Solaris. Distributed OS appear as one computer across many, and embedded OS are for embedded computer systems.
- Middleware provides services to software applications beyond the operating system to facilitate communication and data management between client and server. Development skills involve programming languages, software architecture, algorithms, and scripting.
A Production Quality Sketching Library for the Analysis of Big DataDatabricks
In the analysis of big data there are often problem queries that don’t scale because they require huge compute resources to generate exact results, or don’t parallelize well.
Chromeleon 7 is a new generation chromatography data system that aims to provide operational simplicity for laboratories. It features several tools to simplify chromatography processes including an intuitive user interface, advanced peak detection algorithms, automated workflow templates called eWorkflows, interactive data visualization charts, and reporting capabilities. Chromeleon 7 can also interface with and control instruments from multiple third-party vendors to provide a single platform for chromatography data handling and analysis.
Application of the Actor Model to Large Scale NDE Data AnalysisChrisCoughlin9
The Actor model of concurrent computation discretizes a problem into a series of independent units or actors that interact only through the exchange of messages. Without direct coupling between individual components, an Actor-based system is inherently concurrent and fault-tolerant. These traits lend themselves to so-called “Big Data” applications in which the volume of data to analyze requires a distributed multi-system design. For a practical demonstration of the Actor computational model, a system was developed to assist with the automated analysis of Nondestructive Evaluation (NDE) datasets using the open source Myriad Data Reduction Framework. A machine learning model trained to detect damage in two-dimensional slices of C-Scan data was deployed in a streaming data processing pipeline. To demonstrate the flexibility of the Actor model, the pipeline was deployed on a local system and re-deployed as a distributed system without recompiling, reconfiguring, or restarting the running application.
QEA designs and manufactures compact portable test instrumentation for industrial applications worldwide. Historically a leader in advanced non-destructive bench-top test equipment for the printing industry.
Smart Manufacturing Requirements forEquipment Capability and ControlKimberly Daich
This document discusses smart manufacturing and how SEMI standards support it. It describes the SEMI Equipment Data Acquisition (EDA) standards which allow equipment to be queried for metadata and process data to be collected. This enables smart factory applications for real-time monitoring, fault detection, analysis, and optimization. The EDA standards also have implications for equipment design like supporting various sensor data sampling and providing built-in control algorithms. The document concludes that the EDA standards directly enable smart manufacturing and equipment suppliers have a key role in implementing them.
It is comprised of the five classical components (input, output, processor, memory, and datapath). The processor is divided into an arithmetic logic unit (ALU) and control unit, a method of organization that persists to the present.
This document discusses instrumentation and measurement techniques used to gather performance data from programs. It describes:
- Program, binary, dynamic, processor, operating system, and network instrumentation techniques to collect data on software components, hardware usage, and network traffic.
- The Paradyn performance analysis tool, which uses dynamic instrumentation to monitor metrics, store data in histograms and traces, and employs a "Why, Where, When" search model to diagnose potential performance problems in parallel applications.
- How the Performance Consultant module in Paradyn automatically searches the problem space defined by the "Why, Where, When" axes to discover performance issues by evaluating hypotheses tests against collected metrics.
Embedded systems are application-specific systems that contain hardware and software tailored for a particular task. They have real-time constraints and include requirements for performance, reliability, and form factor. Models and architectures are used to represent embedded system designs at different levels of abstraction. Hardware/software partitioning is the process of deciding which subsystems are best implemented in hardware versus software to meet performance goals within constraints like size, power, and cost.
Embedded systems are application-specific systems that contain hardware and software tailored for a particular task. Models and architectures are used to represent embedded system designs at different levels of abstraction. Hardware/software partitioning is the process of deciding which functionality is implemented in hardware versus software to meet performance and other constraints. There are various approaches to partitioning including functional decomposition, allocation of components, and using metrics to evaluate different partitions. Specification languages are used to capture system functionality in a way that supports partitioning.
Smarter Manufacturing through Equipment Data-Driven Application DesignKimberly Daich
Author relates a number of specific Smart Manufacturing objectives to the applications required to achieve them and show how the standards-based equipment models directly support their respective algorithms. By Alan Weber of Cimetrix, Inc and Mark Reath from Globalfoundries
Incremental Queries and Transformations for Engineering Critical SystemsÁkos Horváth
This document discusses incremental queries and transformations for engineering critical systems. It describes how model transformations can be used in critical systems engineering to enable early validation of system models. It presents EMF-IncQuery and VIATRA, which allow for incremental queries and transformations over models. These technologies have been applied in various industrial domains including avionics, automotive, and telecommunications. The talk concludes by discussing some of the industrial applications and contributors to this work.
Apache Big Data 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
Apache Apex is a next gen big data analytics platform. Originally developed at DataTorrent 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 about the Apex architecture, including its unique features for scalability, fault tolerance and processing guarantees, programming model and use cases.
http://apachebigdata2016.sched.org/event/6M0L/next-gen-big-data-analytics-with-apache-apex-thomas-weise-datatorrent
Why test automation is getting more difficult, and what can be done about it. This slides are from a presentation by Group Director, Product Management at TestPlant, Gordon McKeown, which was presented at the Northern Lights conference in Manchester in April 2016.
Design Like a Pro: How to Pick the Right System ArchitectureInductive Automation
Whether your automation project has only a few tags or hundreds of thousands of tags, you need to make sure that it will work properly now and that it has enough room to grow in the future. Having the right architecture and server sizes are absolutely essential in reaching this goal.
Deterministic and high throughput data processing for CubeSatsPablo Ghiglino
This presentation shows how Klepsydra (www.klepsydra.com) can increase up to 20% data processing in Space on-board computers with limited resources, like those for CubeSats. Not only that, Klepsydra can also substantially increase determinism for Space applications.
WQD2011 - INNOVATION - DEWA - Substation Signal Analyzer SoftwareDubai Quality Group
Innovation case study submitted by DEWA during 3rd Continual Improvement & Innovation Symposium organized by Dubai Quality Group's Continual Improvement Subgroup to celebrate World Quality Day 2011.
Deep dive into service fabric after 2 yearsTomasz Kopacz
How to use more advanced capabilities built-in into service fabric. How to create scalable and FAST applications. When to choose stateless, statefull and actor services. How to deploy any exe to service fabric.
Samples: https://github.com/tkopacz/2016DeveloperDays
1. An Introduction to Embed Systems_DRKG.pptxKesavanGopal1
This document provides an overview of embedded systems. It defines an embedded system as an electronic system designed to perform a specific function, combining both hardware and software. Embedded systems are distinguished from general purpose systems in that they have application-specific hardware and software designed for a dedicated function. The document classifies embedded systems based on generation, complexity/performance, deterministic behavior, and triggering. It discusses key aspects of embedded systems like purpose, applications, design challenges involving cost, size, power and more. Overall, the document introduces the basic concepts of embedded systems.
The document provides an overview of operating systems, including:
- An operating system manages hardware and provides services to computer programs through a cycle of hardware, OS, applications, and users. Real-time OS are for executing real-time applications with predictable responses to events.
- Common operating systems include Unix, Linux, Mac, Windows, Android, AIX, HP-UX, and Solaris. Distributed OS appear as one computer across many, and embedded OS are for embedded computer systems.
- Middleware provides services to software applications beyond the operating system to facilitate communication and data management between client and server. Development skills involve programming languages, software architecture, algorithms, and scripting.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
1. Commercial Instrumentation
Truth and Fiction
”Instrument Vendors Supply Integrated Systems for
Well- Defined Experiments & Data Treatment”
(True)
“Instruments are Answer Machines”
(False)
2. Common Measurement Needs
Materials Characterization
• Mechanical Testers Thermal Analyzers
• Spectrometers Particle Analyzers
• Viscometry Rheology
• Chromatography Particulates
• Imaging Biochemical
Material Performance (“Use Tests”)
• Wear Flow
• Repetitive testing Stress, Aging
Process Characterization, Optimization & Control
Research
3. Commercial Instrument Paradigm
Integrated Systems for Well- Defined Experiments & Data Treatment
• Defined Experiments
• Ease of Use
• Assumes Experimental Variables
• Limited Experimental Freedom
• “One Trick” Ponies ($150K GCMS You cant even measure melting point)
• Each Task Another Expensive Instrument (w/ Overpriced Consummables)
• Defined Ways To Treat Data
• Ease of Use ; ‘Conventional Wisdom’
• Custom, Dedicated Data Treatment (Expensive, ‘Tower of Babel’)
• Assumes Nature of Information and Noise
• Limits or Removes Alternate Choices
• Sometimes Used To Hide Flaws
4. Measurement Systems Are All Quite Similar
Instrument = Measurement Device + Electronics and Software
• Measurement Device Function
• Creates Measurement Condition
• Uses Sensors for Determination
• Electronics & Software Function
• Converts Signals to Information
• Controls The Device and the Experiment
• Communicates and Stores Information
5. Measurement Systems Are All Quite Similar
Instrument = Measurement Device + Electronics and Software
• Measurement Device Function
• Creates Measurement Condition
• Uses Sensors for Determination
• Electronics & Software Function
• Converts Signals to Information
• Controls The Device and the Experiment
• Communicates and Stores Information
• Many Good Sensors Available
• Plenty of Hardware Modules
• Plenty of Experts, Published Info
6. Measurement Systems Are All Quite Similar
Instrument = Measurement Device + Electronics and Software
• Measurement Device Function
• Creates Measurement Condition
• Uses Sensors for Determination
• Electronics & Software Function
• Converts Signals to Information
• Controls The Device and the Experiment
• Communicates and Stores Information
• Many Good Sensors Available
• Plenty of Hardware Modules
• Plenty of Experts, Published Info
• Technology Available
• Poorly Organized
• Incompatibilities
• Expertise Required
7. Present Electronics and Software Situation
• The Software to Support Electronics has been a Mess
• Many Languages (PLC, C++, VB, Scripts, etc. )
• Many Software/Hardware/Driver Incompatibilities
• Hardware Specialized for Specific Instruments
• Custom Boards & Specific Power Supplies
• Reliability Relatively Low
• Cost Relatively High
• Alternate Route: DAQ2GO project
8. DAQ2GO Project
Inexpensive ‘Paved Highway’ From Raw Signals to Results
Engineered Ensemble of Instrument Grade Electronics & Software
System Integration Tool for Measurement and Control Applications
• Goals: Useful, Inexpensive, Widely Applicable
• Leverage Existing Technology (Most function at Least Cost)
• High Quality Electronics at Reasonable Cost
• KISS (Keep it Simple to Use), Robust
• No Need For EE or Programmer
• Average Team Member Experience (~30 years)
• ~15 Technical Man Years (FTE’s)
9. “Paved Highway” = System Integration Tool
Engineered Ensemble of Instrument Grade Electronics & Software
• USB Boards, ‘Signed Drivers’ for Compatibility, Stability
• Multiple High Performance Inputs and Outputs
• Many Kinds :Analog, Digital, PWM, Frequency, RS232, RS485, etc
• Energize and Control Real Devices (Motors, Valves, Automation, etc.)
• Easy to Use, Difficult to Damage
• Polarity Protection, Optical Isolation, etc.
• ‘Youtube’ Videos, Tutorials, Documentation, Practical Examples
• Low Voltage
• Flexible for the Future Change and Addition
• Multiple USB Boards
• Specialty Boards
10. “Paved Highway” = System Integration Tool
Engineered Ensemble of Instrument Grade Electronics & Software
• MS Excel® Characteristics:
• Ubiquitous, Inexpensive, Very Powerful
• Great Math, Graphics, Resource Usage
• Easy to Use and Program
• Largest User Base with Plenty of Support
• Works with Other MS Products (e.g. MS Word®)
• Problems:
• Not Seamlessly Interfaced to Electronics
• Not Seamlessly Applied to Measurement Applications
11. DAQ2GO® Based in Excel®
(1) Seamlessly Combined Electronics & MS Excel®
XP – Win 10, 32- and 64-bit ; Office 2007- present
(2) Built Structures for Instrumentation and Control
Programmable Device Control + Automation
Programmable Acquisition Functions
(4) Macro -> Command ->Worksheet -> Workbook Architecture
(5) Templates for ‘Workhorse’ Applications
(6) No Special Programming Needs by User
12. DAQ2GO Software
• Macros for all common functionalities
• Simple Commands for Each I/O
• “Assembled Macro” Commands
• Worksheets for Major Tasks
• User Interface (Input Data, etc.)
• Control Sheets (Appearance, Math, Hardware Control)
• Real Time Graph Sheets
• Raw Data Sheets
• Sample Queue, Methods, Automation
• Workbooks for Whole Application (Assembled Worksheets)
• Templates for Dedicated Applications
13. DAQ2GO Software
• Macros for all common functionalities
• Simple Commands for Each I/O
• “Assembled Macro” Commands
• Worksheets for Major Tasks
• User Interface (Input Data, etc.)
• Control Sheets (Appearance, Math, Hardware Control)
• Real Time Graph Sheets
• Raw Data Sheets
• Sample Queue, Methods, Automation
• Workbooks for Whole Application (Assembled Worksheets)
• Templates for Dedicated Applications
17. GC Worksheet During Experiment(Note: All 6 on front page + All Tabs Strip Chart in Real Time)
18. DAQ2GO Software Details
• Macros for all common functionalities
• Simple Commands for Each I/O
• “Assembled Macro” Commands
• Worksheets for Major Tasks
• User Interface (Input Data, etc.)
• Control Sheets (Appearance, Math, Hardware Control)
• Real Time Graph Sheets
• Raw Data Sheets
• Sample Queue, Methods, Automation, Data Treatment
• Workbooks for Whole Application (Assembled Worksheets)
• Templates for Dedicated Applications
20. DAQ2GO Software Details
• Macros for all common functionalities
• Simple Commands for Each I/O
• “Assembled Macro” Commands
• Worksheets for Major Tasks
• User Interface (Input Data, etc.)
• Control Sheets (Appearance, Math, Hardware Control)
• Real Time Graph Sheets
• Raw Data Sheets
• Sample Queue, Methods, Automation, Data Treatment
• Workbooks for Whole Application (Assembled Worksheets)
• Templates for Dedicated Applications
22. DAQ2GO Software Details
• Macros for all common functionalities
• Simple Commands for Each I/O
• “Assembled Macro” Commands
• Worksheets for Major Tasks
• User Interface (Input Data, etc.)
• Control Sheets (Appearance, Math, Hardware Control)
• Real Time Graph Sheets
• Raw Data Sheets
• Sample Queue, Methods, Automation, Data Treatment
• Workbooks for Whole Application (Assembled Worksheets)
• Templates for Dedicated Applications
23. Control Sheet for I/O Control
(P, PI, PID and Smart Controller for Fans, Heaters, Motion)
29. Evaluation of F/ V Port
y = 5E-06x + 7E-05
R² = 1
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0.1
Voltage,Channel1
Frequency Input from Signal Generator
Channel 1 Frequency Response
(Channel 1 in Frequency Mode)
30. Emission Experiments
• Light Source Powered By CH 1 out
• Photodetector in Series Circuit
• Voltage Drop Measured at CH1 in
• Total Scan time ~ 1 Second
33. DAQ2GO Software Details
• Worksheets for Major Tasks
• User Interface (Input Data, etc.)
• Control Sheets (Appearance Math, Hardware Control)
• Real Time Graph Sheets
• Macros for all common functionalities
• Simple Commands for Each I/O
• “Assembled Macro” Commands
• Raw Data Sheets
• Sample Queue, Methods, Automation, Data Treatment
• Workbooks for Whole Application (Assembled Worksheets)
• Templates for Dedicated Applications
• Works with XP –Win10 Office 2007-now (32 and 64 bit versions)
34. Tools For Comparing and Treating Data
(For 1 and 2 Dimensional Arrays; Can be Automated)
• Examining and Evaluating 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
35. Add the Derivative To Find Peaks
-0.0040
-0.0030
-0.0020
-0.0010
0.0000
0.0010
0.0020
0.0030
0.0040-7.00E-01
-6.00E-01
-5.00E-01
-4.00E-01
-3.00E-01
-2.00E-01
-1.00E-01
0.00E+00
0
200
400
600
800
1000
1200
jul6 hi sample rt and 60 at inj Peak Picker 2
Chromatogram Derivative
40. Comparing Data From Different File Formats
(Test Works 4® & Instron Series 9 Software)
41. Making a ‘Computerized’ Measurement
• Connect Sensors and Devices to DAQ2GO® Board(s)
• Build Workbook
• Real Time User Interface
• Experiment Condition Controller
• Data Treatment
• Reporter of Results
• Save as ‘New Name’ Workbook
• Document the Application (Add ‘Notes’ Tab)
• Ready To Go
42. How To Build A Workbook
(1) Define ‘The Look’ (a.k.a. “Instrument Personality”)
(2) Add Practical Details ; Finalize
(3) Modify the DAQ2GO® Resources to Match
(4) Neaten Up, Test, Modify to Suit
(5) Save as a Read Only Template
44. 7 Steps to Make The Desired Workbook
(1) Define General Personality
(2) Add the Practical Details
(3) Final Definition of Desired Personality
(4) Recall the DAQ2GO® Resources
(5) Modify Resources to Match Needs
(6) Neaten Up, Test, Troubleshoot
(7) Save as a Read Only Template
46. 7 Steps to Make The Desired Workbook
(1) Define General Personality
(2) Add the Practical Details
(3) Finalize Desired Personality
(4) Recall the DAQ2GO® GP DAQ Template
(5) Modify Worksheets to Meet Needs
(6) Neaten Up, Test, Troubleshoot
(7) Save as a Read Only Template
51. Single Worksheet for Input and Real time Display
(DAQ2GO ® Mechanical Tester Template)
52. DAQ2GO® Key Advantages
Leverages Electronics and Excel®
• Fast to Set Up and Easy to Apply
• Powerful Macros, Worksheets and Templates
• Easy to Customize, Modify, Use
• Large Market Base for Knowledge Support
• One System for Many ‘Instruments’
• Modest Cost (works with XP-Win 10; Office 2007 +)
• Mostly Limited by One’s Imagination
• No Special Programming or Electrical Engineering
53. For More Information :
• DAQ2GO® website DAQ2GO.COM
• Specifications
• Applications
• Tutorials
• Youtube.com Videos
• Tutorials
• Application Examples