This presentation was given at the 4th International Workshop on The Globalization of Modeling Languages (GEMOC) 2016 (http://gemoc.org/gemoc2016/).
Abstract:
AutomationML is an emerging IEC standard for storing and exchanging engineering data among the heterogeneous software tools involved in the engineering of production systems. One important subset of such engineering data is the plant behavior. To make this data exchangeable, AutomationML uses the existing industry data format PLCopen XML. However, at the development stages of production systems, the plant behavior is usually defined using other representation means, such as Gantt charts, impulse diagrams, and sequential function charts. To make such plant behavior models exchangeable, AutomationML introduces the so-called Intermediate Modeling Layer (IML) with corresponding transformation rules to decouple the employed modeling languages from the target format PLCopen XML. However, IML itself as well as the transformations from and to IML are only semi-formally described. This not only hinders the adoption of IML as a common language for representing plant behavior, but also renders impossible the composition of heterogeneous plant behavior models for carrying out integrated analyses of the global plant behavior. In this work, we aim at clarifying syntactical and semantical aspects of IML by proposing a metamodel and operational semantics for IML. This constitutes the first step towards formalizing and validating transformations between behavioral modeling languages currently employed in the production domain (e.g., Gantt charts), IML, and PLCopen XML. Having this foundation, we aim at utilizing IML as the semantic domain for the composition of heterogeneous plant behavior models.
Advantages and Disadvantages of Using MATLAB/ode45 for Solving Differential E...CSCJournals
The present paper demonstrates the route used for solving differential equations for the engineering applications at UAEU. Usually students at the Engineering Requirements Unit (ERU) stage of the Faculty of Engineering at the UAEU must enroll in a course of Differential Equations and Engineering Applications (MATH 2210) as a prerequisite for the subsequent stages of their study. Mainly, one of the objectives of this course is that the students practice MATLAB software package during the course. The aim of using this software is to solve differential equations individually and as a system of equation in parallel with analytical mathematics trends. In general, mathematical models of the engineering systems like mechanical, thermal, electrical, chemical and civil are modeled and solve to predict the behavior of the system under different conditions. The paper presents the technique which is used to solve DE using MATLAB. The main code that utilized and presented is MATLAB/ode45 to enable the students solving initial value DE and experience the response of the engineering systems for different applied conditions. Moreover, both advantages and disadvantages are presented especially the student mostly face in solving system of DE using ode45 code
Optimization of Automatic Voltage Regulator Using Genetic Algorithm Applying ...IJERA Editor
In an interconnected power system, if a load demand changes randomly, both frequency and tie line power
varies. The main aim of automatic voltage controller is to minimize the transient variations in these variables
and also to make sure that their steady state errors is zero. Many modern control techniques are used to
implement a reliable controller. The objective of these control techniques is to produce and deliver power
reliably by maintaining voltage within permissible range. When real power changes, system frequency gets
affected while reactive power is dependent on variation in voltage value. That’s why real and reactive power is
controlled separately. Our objective is here for to study and analyze the Genetic algorithms and their
application to the problems of Function Optimization and System Identification. Since there are other methods
traditionally adopted to obtain the optimum value of a function (which are usually derivative based), the project
aims at establishing the superiority of Genetic Algorithms in optimizing complex, multivariable and multimodal
function. The Genetic Algorithm is a popular optimization technique which is bio-inspired and is based on the
concepts of natural genetics and natural selection theories proposed by Charles Darwin.
Model Based Software Timing Analysis Using Sequence Diagram for Commercial Ap...iosrjce
This document presents a framework for software timing analysis using UML sequence diagrams. The framework involves first gathering requirements and creating a sequence diagram. The sequence diagram is then converted to a label transition graph. Algorithms are applied to reduce the graph to a path expression and determine the minimum and maximum path lengths, representing the minimum and maximum timings. A case study applying this process to the timing analysis of a purchasing process in a mall is presented as an example. The advantage of this approach is that timing requirements can be identified early in the requirements stage from the UML models.
Karner resource estimation for objectory projectsOcho08
The document proposes a model for estimating resources needed to develop software using the Objectory process. The model is based on function points, which counts types of inputs, outputs, inquiries etc to determine the size of the system. It then adjusts for technical complexity factors and new environmental factors. It presents this Use Case Points model and shows how to calculate unadjusted use case points, technical complexity factor, and environmental factor. Finally, it validates the model using data from three projects. In summary, the model provides an early way to estimate resources for Objectory projects based on use case analysis and adjustment factors.
This document provides an introduction to Simulink, which is an extension of MATLAB that allows engineers to model dynamic physical systems using block diagrams. It defines key concepts like systems, block diagrams, and modeling approaches. The document explains that Simulink uses block diagram representations of mathematical models to simulate and analyze dynamic systems. It provides examples of modeling spring-mass systems in Simulink and discusses how Simulink can be used for rapid prototyping and application development.
LabVIEW - Teaching tool for control design subjectIOSR Journals
This document discusses using LabVIEW as a teaching tool for control design subjects. It allows students to simulate experimental results, analyze comparisons between different systems, and validate modeling and controller design. Students can visualize the effects of changing system parameters. This makes the learning process more active compared to traditional lectures. LabVIEW provides tools like root locus analysis, Bode plots, and step responses to analyze system performance. Examples are given of modeling a DC motor and analyzing its frequency response and root locus. LabVIEW is concluded to improve engineering education by allowing students to validate theory with working prototypes.
Adding Uncertainty and Units to Quantity Types in Software ModelsTanja Mayerhofer
This document discusses representing uncertainty and units in software models. It proposes a type system to represent measurement uncertainty and units, as well as an algebra of operations to perform computations with uncertain data and units. Implementations are proposed for Java, OCL, and UML. The key contributions are a kernel representation for quantities that includes uncertainty, a computational kernel for operating on quantities, and domain models and examples to demonstrate representing quantities, units, and uncertainty in software models.
The document presents the modeling and real-time simulation of an induction motor using RT-LAB software. RT-LAB allows converting Simulink models to real-time simulations that can run across multiple processors. The paper discusses the mathematical model of an induction motor and its implementation in RT-LAB. Two models are presented - one where data is transferred during simulation using OpComm blocks, and another where data is recorded using OpWriteFile blocks and transferred after simulation. Simulation results are presented for an induction motor with described parameters running on an RT-LAB configuration.
Advantages and Disadvantages of Using MATLAB/ode45 for Solving Differential E...CSCJournals
The present paper demonstrates the route used for solving differential equations for the engineering applications at UAEU. Usually students at the Engineering Requirements Unit (ERU) stage of the Faculty of Engineering at the UAEU must enroll in a course of Differential Equations and Engineering Applications (MATH 2210) as a prerequisite for the subsequent stages of their study. Mainly, one of the objectives of this course is that the students practice MATLAB software package during the course. The aim of using this software is to solve differential equations individually and as a system of equation in parallel with analytical mathematics trends. In general, mathematical models of the engineering systems like mechanical, thermal, electrical, chemical and civil are modeled and solve to predict the behavior of the system under different conditions. The paper presents the technique which is used to solve DE using MATLAB. The main code that utilized and presented is MATLAB/ode45 to enable the students solving initial value DE and experience the response of the engineering systems for different applied conditions. Moreover, both advantages and disadvantages are presented especially the student mostly face in solving system of DE using ode45 code
Optimization of Automatic Voltage Regulator Using Genetic Algorithm Applying ...IJERA Editor
In an interconnected power system, if a load demand changes randomly, both frequency and tie line power
varies. The main aim of automatic voltage controller is to minimize the transient variations in these variables
and also to make sure that their steady state errors is zero. Many modern control techniques are used to
implement a reliable controller. The objective of these control techniques is to produce and deliver power
reliably by maintaining voltage within permissible range. When real power changes, system frequency gets
affected while reactive power is dependent on variation in voltage value. That’s why real and reactive power is
controlled separately. Our objective is here for to study and analyze the Genetic algorithms and their
application to the problems of Function Optimization and System Identification. Since there are other methods
traditionally adopted to obtain the optimum value of a function (which are usually derivative based), the project
aims at establishing the superiority of Genetic Algorithms in optimizing complex, multivariable and multimodal
function. The Genetic Algorithm is a popular optimization technique which is bio-inspired and is based on the
concepts of natural genetics and natural selection theories proposed by Charles Darwin.
Model Based Software Timing Analysis Using Sequence Diagram for Commercial Ap...iosrjce
This document presents a framework for software timing analysis using UML sequence diagrams. The framework involves first gathering requirements and creating a sequence diagram. The sequence diagram is then converted to a label transition graph. Algorithms are applied to reduce the graph to a path expression and determine the minimum and maximum path lengths, representing the minimum and maximum timings. A case study applying this process to the timing analysis of a purchasing process in a mall is presented as an example. The advantage of this approach is that timing requirements can be identified early in the requirements stage from the UML models.
Karner resource estimation for objectory projectsOcho08
The document proposes a model for estimating resources needed to develop software using the Objectory process. The model is based on function points, which counts types of inputs, outputs, inquiries etc to determine the size of the system. It then adjusts for technical complexity factors and new environmental factors. It presents this Use Case Points model and shows how to calculate unadjusted use case points, technical complexity factor, and environmental factor. Finally, it validates the model using data from three projects. In summary, the model provides an early way to estimate resources for Objectory projects based on use case analysis and adjustment factors.
This document provides an introduction to Simulink, which is an extension of MATLAB that allows engineers to model dynamic physical systems using block diagrams. It defines key concepts like systems, block diagrams, and modeling approaches. The document explains that Simulink uses block diagram representations of mathematical models to simulate and analyze dynamic systems. It provides examples of modeling spring-mass systems in Simulink and discusses how Simulink can be used for rapid prototyping and application development.
LabVIEW - Teaching tool for control design subjectIOSR Journals
This document discusses using LabVIEW as a teaching tool for control design subjects. It allows students to simulate experimental results, analyze comparisons between different systems, and validate modeling and controller design. Students can visualize the effects of changing system parameters. This makes the learning process more active compared to traditional lectures. LabVIEW provides tools like root locus analysis, Bode plots, and step responses to analyze system performance. Examples are given of modeling a DC motor and analyzing its frequency response and root locus. LabVIEW is concluded to improve engineering education by allowing students to validate theory with working prototypes.
Adding Uncertainty and Units to Quantity Types in Software ModelsTanja Mayerhofer
This document discusses representing uncertainty and units in software models. It proposes a type system to represent measurement uncertainty and units, as well as an algebra of operations to perform computations with uncertain data and units. Implementations are proposed for Java, OCL, and UML. The key contributions are a kernel representation for quantities that includes uncertainty, a computational kernel for operating on quantities, and domain models and examples to demonstrate representing quantities, units, and uncertainty in software models.
The document presents the modeling and real-time simulation of an induction motor using RT-LAB software. RT-LAB allows converting Simulink models to real-time simulations that can run across multiple processors. The paper discusses the mathematical model of an induction motor and its implementation in RT-LAB. Two models are presented - one where data is transferred during simulation using OpComm blocks, and another where data is recorded using OpWriteFile blocks and transferred after simulation. Simulation results are presented for an induction motor with described parameters running on an RT-LAB configuration.
GDG Jakarta Meetup - Streaming Analytics With Apache BeamImre Nagi
Google slide version of this slide can be accessed from: https://docs.google.com/presentation/d/1Ws73JxlVH39HiKiYuF3vW903j8wFzxPQihXz4CQ_HZM/edit?usp=sharing
Mobile Software Engineering Crash Course - C06 WindowsPhoneMohammad Shaker
The document provides an overview of mobile software engineering for Windows Phone, discussing tools and frameworks like the Windows Phone SDK, Silverlight, MVVM, data binding, navigation, and WebClient; it also mentions game development with XNA and using touch events to control a particle engine. Code samples demonstrate common tasks like data binding, navigation, and downloading data with WebClient.
The document discusses resource optimization of workflow problems. It introduces the motivation to optimize flexible production systems using a single assembly line for multiple variants. It then describes workflow abstraction and terms, including attributed resources, partially ordered plans, flexible processes, continuous supply, and partitioning. The document outlines the basic model, including data structures, process logic representation as a partially ordered plan, partitioning workflows into blocks, and calculating infrastructure needs and cycle time. It also discusses the heuristic approach and implementation in Mozart/Oz constraint programming.
Model-Based Risk Assessment in Multi-Disciplinary Systems EngineeringEmanuel Mätzler
This document proposes a model-based approach for risk assessment in multi-disciplinary engineering projects. It involves defining metamodels for production system models, link models between artifacts, and metrics. Metrics are defined using the Structured Metrics Metamodel and calculated by executing queries on the system models. Measurement results are stored in the metrics model. The approach aims to support risk assessment across distributed, versioned engineering artifacts represented in AutomationML. Future work includes expanding the metrics, integrating dynamic aspects, and visualizing results.
LINQ 2 SQL Presentation To Palmchip And Trg, Technology Resource GroupShahzad
LINQ 2 SQL provides strongly-typed queries and results for relational databases. It consists of LINQ to Objects syntax to query data and tools to map classes and database tables. LINQ to SQL is an object-relational mapper that allows querying over SQL Server using LINQ. It provides an intuitive API and compile-time checking compared to other ORMs. Performance is improved by caching and optimized translation of LINQ queries to SQL.
Lot Completion Estimation Using Self-Configuring Equipment Model-based Applic...Kimberly Daich
The document discusses using equipment model-based applications enabled by the SEMI EDA standard to provide self-configuring solutions for manufacturing challenges. It provides lot completion estimation as an example, where metadata from the E164 equipment model is used to continuously estimate completion times for lots in a tool without requiring custom programming. Other potential applications described include process characterization, fault detection, and generic production monitoring screens.
This document provides an overview of activity diagrams in UML. It discusses the key elements of activity diagrams including activities, actions, edges, control flow, object flow, initial and final nodes, alternative and concurrent paths, object nodes, event-based actions, call behavior actions, partitions, and exception handling. The document is intended to accompany a lecture on activity diagrams and is based on the book "UML @ Classroom" by Seidl, Scholz, Huemer, and Kappel.
Silverlight 2 for Developers - TechEd New Zealand 2008Jonas Follesø
The document is a presentation about Silverlight 2 for developers. It includes an agenda covering CRUD, designers, patterns and testing. It discusses using Silverlight 2 for building applications with a dive log app as an example. It covers using services, securing applications, HTTP requests and using Blend. It also discusses using MVC patterns, separation of concerns, the presentation model pattern and implementing data binding, commands and value converters in applications.
Flyte is a structured programming and distributed processing platform created at Lyft that enables highly concurrent, scalable and maintainable workflows for machine learning and data processing. Welcome to the documentation hub for Flyte.
The Principle Of Ultrasound Imaging SystemMelissa Luster
The document describes a project to design an audio amplifier system that incorporates digital delay effects, where the system uses an FPGA platform to implement the design and includes components like sensors, ADCs, and DACs to acquire analog audio signals, convert them to digital, process them with digital delay effects using the FPGA, and convert them back to analog for output. The goal is to add effects like reverb and echo to the audio in real-time using programmable digital logic on the FPGA rather than traditional analog circuitry for such effects.
This document discusses using MUnit instead of JUnit for writing functional test cases in Mule that involve mocking mule components. When using JUnit, test cases directly connect to original components like SAP and Salesforce, potentially modifying real data. MUnit allows mocking these components so they are not called directly. Examples show mocking Salesforce and database components in MUnit by returning custom payloads. The MUnit tests run flows and assert responses without calling the real components.
Continuous Application with Structured Streaming 2.0Anyscale
Introduction to Continuous Application with Apache Spark 2.0 Structured Streaming. This presentation is a culmination and curation from talks and meetups presented by Databricks engineers.
The notebooks on Structured Streaming demonstrates aspects of the Structured Streaming APIs
A Deep Dive into Structured Streaming in Apache Spark Anyscale
This document provides an overview of Structured Streaming in Apache Spark. It begins with a brief history of streaming in Spark and outlines some of the limitations of the previous DStream API. It then introduces the new Structured Streaming API, which allows for continuous queries to be expressed as standard Spark SQL queries against continuously arriving data. It describes the new processing model and how queries are executed incrementally. It also covers features like event-time processing, windows, joins, and fault-tolerance guarantees through checkpointing and write-ahead logging. Overall, the document presents Structured Streaming as providing a simpler way to perform streaming analytics by allowing streaming queries to be expressed using the same APIs as batch queries.
The fundamental problems of GUI applications and why people choose ReactOliver N
Instead of asking people which JavaScript framework to learn, let's look back into GUI application architecture (which Web Front-end is a case). Then you will understand why people created those library & frameworks and why React became so popular.
This document discusses writing functional test cases for Mule flows using JUnit and MUnit frameworks. With JUnit, test cases directly connect to original components like databases and APIs, modifying real data. MUnit allows mocking components to avoid this. The document provides examples of test cases using JUnit that connect directly to Salesforce and SAP, modifying real data. It then presents a solution using MUnit, showing how to mock the Salesforce component to return sample data without connecting to the real system. MUnit test cases are able to fully isolate tests by mocking components.
C:\documents and settings\student\desktop\swaroop umlsatyaiswaroop
The document provides an overview of use case modeling, state machines, and activity diagrams in UML. It describes core concepts of use case modeling including use cases, actors, and relationships. It also covers when to use use case modeling and provides tips. An example online HR system use case diagram is shown. State machine concepts like states, transitions, entry/exit actions, and hierarchical state machines are explained.
EclipseCon 2008: Fundamentals of the Eclipse Modeling FrameworkDave Steinberg
EclipseCon 2008 long talk introducing EMF. A slightly different take from the preceding EclipseWorld talk, with a few more details on the EMF core and no discussion of CDO or Teneo.
This paper presents a new simulator used to distribute and execute real-time simulations: the RT-LAB, developed by opal-RT technologies (Montreal, Canada). One of its essential characteristics is the perfect integration with MATLAB/Simulink. The RT-LAB allows the conversion of Simulink models in real time via real-time workshop (RTW) and their execution on one or more processors. In this context, the paper focuses on the RT-LAB real-time simulation as a complement to the MATLAB/Simulink environment, which has been used to perform the simulation of the Flywheel energy storage system (FESS -variable speed wind generation (VSWG) assembly. The purpose of employing a fairly new real-time platform (RT-LAB OP -5600) is to reduce the test and prototype time. This application will be executed on each element of our model that was previously developed under MATLAB/Simulink. The real-time simulation results are observed in the workstation.
This document summarizes an integrated control system design tool that was developed to analyze and design intelligent control systems. The tool allows users to:
- Build interactive CAD models for control system design
- Incorporate various libraries and integrate popular AI techniques
- Simulate systems using mixed continuous/discrete event simulation
- Represent systems with generalized Petri net and fuzzy system models
- Program using a new matrix-based language
- Model dead time elements flexibly
- Apply the tool to examples like adaptive fuzzy PID control and liquid level control
The document outlines the goals, background, achievements, related tools, and plans for future work regarding the development of the integrated intelligent control system design tool.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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GDG Jakarta Meetup - Streaming Analytics With Apache BeamImre Nagi
Google slide version of this slide can be accessed from: https://docs.google.com/presentation/d/1Ws73JxlVH39HiKiYuF3vW903j8wFzxPQihXz4CQ_HZM/edit?usp=sharing
Mobile Software Engineering Crash Course - C06 WindowsPhoneMohammad Shaker
The document provides an overview of mobile software engineering for Windows Phone, discussing tools and frameworks like the Windows Phone SDK, Silverlight, MVVM, data binding, navigation, and WebClient; it also mentions game development with XNA and using touch events to control a particle engine. Code samples demonstrate common tasks like data binding, navigation, and downloading data with WebClient.
The document discusses resource optimization of workflow problems. It introduces the motivation to optimize flexible production systems using a single assembly line for multiple variants. It then describes workflow abstraction and terms, including attributed resources, partially ordered plans, flexible processes, continuous supply, and partitioning. The document outlines the basic model, including data structures, process logic representation as a partially ordered plan, partitioning workflows into blocks, and calculating infrastructure needs and cycle time. It also discusses the heuristic approach and implementation in Mozart/Oz constraint programming.
Model-Based Risk Assessment in Multi-Disciplinary Systems EngineeringEmanuel Mätzler
This document proposes a model-based approach for risk assessment in multi-disciplinary engineering projects. It involves defining metamodels for production system models, link models between artifacts, and metrics. Metrics are defined using the Structured Metrics Metamodel and calculated by executing queries on the system models. Measurement results are stored in the metrics model. The approach aims to support risk assessment across distributed, versioned engineering artifacts represented in AutomationML. Future work includes expanding the metrics, integrating dynamic aspects, and visualizing results.
LINQ 2 SQL Presentation To Palmchip And Trg, Technology Resource GroupShahzad
LINQ 2 SQL provides strongly-typed queries and results for relational databases. It consists of LINQ to Objects syntax to query data and tools to map classes and database tables. LINQ to SQL is an object-relational mapper that allows querying over SQL Server using LINQ. It provides an intuitive API and compile-time checking compared to other ORMs. Performance is improved by caching and optimized translation of LINQ queries to SQL.
Lot Completion Estimation Using Self-Configuring Equipment Model-based Applic...Kimberly Daich
The document discusses using equipment model-based applications enabled by the SEMI EDA standard to provide self-configuring solutions for manufacturing challenges. It provides lot completion estimation as an example, where metadata from the E164 equipment model is used to continuously estimate completion times for lots in a tool without requiring custom programming. Other potential applications described include process characterization, fault detection, and generic production monitoring screens.
This document provides an overview of activity diagrams in UML. It discusses the key elements of activity diagrams including activities, actions, edges, control flow, object flow, initial and final nodes, alternative and concurrent paths, object nodes, event-based actions, call behavior actions, partitions, and exception handling. The document is intended to accompany a lecture on activity diagrams and is based on the book "UML @ Classroom" by Seidl, Scholz, Huemer, and Kappel.
Silverlight 2 for Developers - TechEd New Zealand 2008Jonas Follesø
The document is a presentation about Silverlight 2 for developers. It includes an agenda covering CRUD, designers, patterns and testing. It discusses using Silverlight 2 for building applications with a dive log app as an example. It covers using services, securing applications, HTTP requests and using Blend. It also discusses using MVC patterns, separation of concerns, the presentation model pattern and implementing data binding, commands and value converters in applications.
Flyte is a structured programming and distributed processing platform created at Lyft that enables highly concurrent, scalable and maintainable workflows for machine learning and data processing. Welcome to the documentation hub for Flyte.
The Principle Of Ultrasound Imaging SystemMelissa Luster
The document describes a project to design an audio amplifier system that incorporates digital delay effects, where the system uses an FPGA platform to implement the design and includes components like sensors, ADCs, and DACs to acquire analog audio signals, convert them to digital, process them with digital delay effects using the FPGA, and convert them back to analog for output. The goal is to add effects like reverb and echo to the audio in real-time using programmable digital logic on the FPGA rather than traditional analog circuitry for such effects.
This document discusses using MUnit instead of JUnit for writing functional test cases in Mule that involve mocking mule components. When using JUnit, test cases directly connect to original components like SAP and Salesforce, potentially modifying real data. MUnit allows mocking these components so they are not called directly. Examples show mocking Salesforce and database components in MUnit by returning custom payloads. The MUnit tests run flows and assert responses without calling the real components.
Continuous Application with Structured Streaming 2.0Anyscale
Introduction to Continuous Application with Apache Spark 2.0 Structured Streaming. This presentation is a culmination and curation from talks and meetups presented by Databricks engineers.
The notebooks on Structured Streaming demonstrates aspects of the Structured Streaming APIs
A Deep Dive into Structured Streaming in Apache Spark Anyscale
This document provides an overview of Structured Streaming in Apache Spark. It begins with a brief history of streaming in Spark and outlines some of the limitations of the previous DStream API. It then introduces the new Structured Streaming API, which allows for continuous queries to be expressed as standard Spark SQL queries against continuously arriving data. It describes the new processing model and how queries are executed incrementally. It also covers features like event-time processing, windows, joins, and fault-tolerance guarantees through checkpointing and write-ahead logging. Overall, the document presents Structured Streaming as providing a simpler way to perform streaming analytics by allowing streaming queries to be expressed using the same APIs as batch queries.
The fundamental problems of GUI applications and why people choose ReactOliver N
Instead of asking people which JavaScript framework to learn, let's look back into GUI application architecture (which Web Front-end is a case). Then you will understand why people created those library & frameworks and why React became so popular.
This document discusses writing functional test cases for Mule flows using JUnit and MUnit frameworks. With JUnit, test cases directly connect to original components like databases and APIs, modifying real data. MUnit allows mocking components to avoid this. The document provides examples of test cases using JUnit that connect directly to Salesforce and SAP, modifying real data. It then presents a solution using MUnit, showing how to mock the Salesforce component to return sample data without connecting to the real system. MUnit test cases are able to fully isolate tests by mocking components.
C:\documents and settings\student\desktop\swaroop umlsatyaiswaroop
The document provides an overview of use case modeling, state machines, and activity diagrams in UML. It describes core concepts of use case modeling including use cases, actors, and relationships. It also covers when to use use case modeling and provides tips. An example online HR system use case diagram is shown. State machine concepts like states, transitions, entry/exit actions, and hierarchical state machines are explained.
EclipseCon 2008: Fundamentals of the Eclipse Modeling FrameworkDave Steinberg
EclipseCon 2008 long talk introducing EMF. A slightly different take from the preceding EclipseWorld talk, with a few more details on the EMF core and no discussion of CDO or Teneo.
This paper presents a new simulator used to distribute and execute real-time simulations: the RT-LAB, developed by opal-RT technologies (Montreal, Canada). One of its essential characteristics is the perfect integration with MATLAB/Simulink. The RT-LAB allows the conversion of Simulink models in real time via real-time workshop (RTW) and their execution on one or more processors. In this context, the paper focuses on the RT-LAB real-time simulation as a complement to the MATLAB/Simulink environment, which has been used to perform the simulation of the Flywheel energy storage system (FESS -variable speed wind generation (VSWG) assembly. The purpose of employing a fairly new real-time platform (RT-LAB OP -5600) is to reduce the test and prototype time. This application will be executed on each element of our model that was previously developed under MATLAB/Simulink. The real-time simulation results are observed in the workstation.
This document summarizes an integrated control system design tool that was developed to analyze and design intelligent control systems. The tool allows users to:
- Build interactive CAD models for control system design
- Incorporate various libraries and integrate popular AI techniques
- Simulate systems using mixed continuous/discrete event simulation
- Represent systems with generalized Petri net and fuzzy system models
- Program using a new matrix-based language
- Model dead time elements flexibly
- Apply the tool to examples like adaptive fuzzy PID control and liquid level control
The document outlines the goals, background, achievements, related tools, and plans for future work regarding the development of the integrated intelligent control system design tool.
Similar to Towards the Semantic Integration of Plant Behavior Models with AutomationML’s Intermediate Modeling Layer (20)
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
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Towards the Semantic Integration of Plant Behavior Models with AutomationML’s Intermediate Modeling Layer
1. Business Informatics Group
Institute of Software Technology and Interactive Systems
TU Wien
Favoritenstraße 9-11/188-3, 1040 Vienna, Austria
phone: +43 (1) 58801 - 18804 (secretary), fax: +43 (1) 58801 - 18896
office@big.tuwien.ac.at, www.big.tuwien.ac.at
Towards the Semantic Integration of Plant Behavior Models
with AutomationML’s Intermediate Modeling Layer
Tanja Mayerhofer, Manuel Wimmer, Luca Berardinelli, Emanuel Mätzler
Business Informatics Group, TU Wien, Austria
Nicole Schmidt
Faculty of Mechanical Engineering, Otto-v.-Guericke University Magdeburg, Germany
Tanja Mayerhofer
2. Multidisciplinary process involving various engineering disciplines
Different disciplines and engineering activities require
specialized software tools and produce specific artifacts
> Heterogeneous engineering tool landscape
Multi-staged and parallel process
Different engineering activities depend on
each other, i.e., require results of other
engineering activities
> Need for a lossless data exchange
How is the data exchange achieved?
PDFs, printouts, manual transfer
> Inefficient and error-prone process leading to substantial costs
> Current movements towards smart production aggravate this problem
Production Systems Engineering Motivation
2
domain
tool
artifact
Software
Engineering
Control
Engineering
Mechanical
Engineering
Electrical
Engineering
3. Automation Markup Language Motivation
Open, vendor neutral, free XML format for the storage and exchange of
plant engineering data
Integrates, extends and adapts existing standard XML data formats
International Electrotechnical Commission (IEC) standard 62714
3
CAEX
IEC 62424
Plant topology
• Plants
• Cells
• Components
• Attributes
• Interfaces
• Relations
• References
Object A
Object A1
Object A2
Object An
...
COLLADA
ISO/PAS 17506:2012
Geometry
Kinematics
Further XML
Standard Format
Further engineering data
PLCopen XML
IEC 61131-10
Behavior
Sequencing
Init
Step 1
End
4. Plant Behavior Models Motivation
PLCopen XML
Standard XML format for exchanging PLC code
Supports all programming languages defined in IEC 61131-3 standard
Structured text, instruction list, ladder diagram, function block diagram,
sequential function charts
Common Plant Behavior Modeling Languages
AutomationML supports five modeling languages for defining plant behaviors
on different levels of abstraction
Abstract process planning: Gantt charts, PERT charts
System behavior design: Impulse diagrams
Detailed component behavior design: Sequential function charts, state charts
> Requires translations from/to PLCopen XML
4
5. Plant Behavior Models Motivation
Translations from/to PLCopen XML
5
Tool A
Tool B
Tool C
Gantt Chart
PERT Chart
Impulse Diagram
…
Diverse Plant Behavior
Modeling Languages
PLCopen XML
(IEC 61131-10)
<SFC>
<actionBlock>
<action>
<addData>
<data name=”http://
<AutomationML>
<ActionStatus>
current
</ActionStatus>
</AutomationML>
</data>
</addData>
<action>
</actionBlock>
6. Plant Behavior Models Motivation
Translations from/to PLCopen XML
6
Tool A
Tool B
Tool C
Gantt Chart
PERT Chart
Impulse Diagram
…
Diverse Plant Behavior
Modeling Languages
Complex transformations
PLCopen XML
(IEC 61131-10)
<SFC>
<actionBlock>
<action>
<addData>
<data name=”http://
<AutomationML>
<ActionStatus>
current
</ActionStatus>
</AutomationML>
</data>
</addData>
<action>
</actionBlock>
7. Intermediate Modeling Layer Motivation
AutomationML introduces Intermediate Modeling Layer (IML)
IML is based on sequential function charts defined by IEC 61131-3 standard
Simplifies transformations from/to PLCopen XML
Decouples PLCopen XML from plant behavior modeling languages
Facilitates extensibility with new plant behavior modeling languages
Enables automated transformations between plant behavior modeling languages
7
Tool A
Tool B
Tool C
Gantt Chart
PERT Chart
Impulse Diagram
…
Diverse Plant Behavior
Modeling Languages
Intermediate Modeling
Layer (IML)
IML
PLCopen XML
(IEC 61131-10)
<SFC>
<actionBlock>
<action>
<addData>
<data name=”http://
<AutomationML>
<ActionStatus>
current
</ActionStatus>
</AutomationML>
</data>
</addData>
<action>
</actionBlock>
8. Semi-formal Definition of IML Problem
IML and the transformations from/to IML are only semi-formally defined
Arising Problems:
How to validate that transformations are correct?
How to check semantic preservation?
How to compose heterogeneous models?
8
Tool A
Tool B
Tool C
Gantt Chart
PERT Chart
Impulse Diagram
…
Diverse Plant Behavior
Modeling Languages
Intermediate Modeling
Layer (IML)
IML
PLCopen XML
(IEC 61131-10)
<SFC>
<actionBlock>
<action>
<addData>
<data name=”http://
<AutomationML>
<ActionStatus>
current
</ActionStatus>
</AutomationML>
</data>
</addData>
<action>
</actionBlock>
No formal definitions
9. IML as Semantic Domain and Integration Layer for
Plant Behavior Models Contribution
9
M2M … Model-to-Model Transformation
MM … Metamodel
OS … Operational Semantics
Model
Execution
Model
Simulation
Consistency
Analysis
Refinement
Analysis
……
Tool A
Tool B
Tool C
Gantt Chart
PERT Chart
Impulse Diagram
…
Diverse Plant Behavior
Modeling Languages
Intermediate Modeling
Layer (IML)
IML
PLCopen XML
(IEC 61131-10)
<SFC>
<actionBlock>
<action>
<addData>
<data name=”http://
<AutomationML>
<ActionStatus>
current
</ActionStatus>
</AutomationML>
</data>
</addData>
<action>
</actionBlock>
M2MM2M
Syntax Semantics
MM OS
10. IML as Semantic Domain and Integration Layer for
Plant Behavior Models Contribution
10
M2M … Model-to-Model Transformation
MM … Metamodel
OS … Operational Semantics
Model
Execution
Model
Simulation
Consistency
Analysis
Refinement
Analysis
……
Tool A
Tool B
Tool C
Gantt Chart
PERT Chart
Impulse Diagram
…
Diverse Plant Behavior
Modeling Languages
Intermediate Modeling
Layer (IML)
IML
PLCopen XML
(IEC 61131-10)
<SFC>
<actionBlock>
<action>
<addData>
<data name=”http://
<AutomationML>
<ActionStatus>
current
</ActionStatus>
</AutomationML>
</data>
</addData>
<action>
</actionBlock>
M2MM2M
Syntax Semantics
MM OS
11. Metamodel for IML Contribution
11
Comment
content : String
ElementHeader
name : String
Variable
name : String
type : String
content : String
SIUnit : String
initialValue : String
address : String
SelectionConvergence
SelectionDivergence
SimultaneousConvergence
SimultaneousDivergence
members
*
activities
*
booleanGuard
0..1
source1target1
comment
0..1
IdentifiableElement
IdentifiableElement
IdentifiableElement
IdentifiableElement
Time
delay : Real
duration : Real
time 0..1
Activity
name : String
start : Real [2]
end : Real [2]
StateTransition
name : String
State
name : String
init : boolean
terminal : boolean
/target
0..1
IdentifiableElement
id : String
Connection
/source
0..1 ConnectionPoint
13. Operational Semantics for IML Contribution
13
IML Operational Semantics
IML Abstract Syntax
«merge»
Header
execute()
State
current : boolean
activate()
deactivate()
executeActivities()
/currentStates
*
ConnectionPoint
isEnabled() : boolean
fire()
Variable
value : String
Activity
execute()
current : boolean
14. Operational Semantics for IML Contribution
14
Comment
content : String
Element
Variable
name : String
type : String
content : String
SIUnit : String
initialValue : String
address : String
SelectionConvergence
SelectionDivergence
SimultaneousConvergence
SimultaneousDivergence
members
*
activities
*
booleanGuard
0..1
source1target1
comment
0..1
IdentifiableElement
IdentifiableElement
IdentifiableElement
IdentifiableElement
Time
delay : Real
duration : Real
time 0..1
Activity
name : String
start : Real [2]
end : Real [2]
StateTransition
name : String
State
name : String
init : boolean
terminal : boolean
/target
0..1
IdentifiableElement
id : String
Connection
/source
0..1 ConnectionPoint
Header
name : String
execute()
current : boolean
activate()
deactivate()
executeActivities()
value : String
current : boolean
execute()
isEnabled()
fire()
/currentStates *
15. Operational Semantics for IML Contribution
15
Comment
content : String
Element
Variable
name : String
type : String
content : String
SIUnit : String
initialValue : String
address : String
SelectionConvergence
SelectionDivergence
SimultaneousConvergence
SimultaneousDivergence
members
*
activities
*
booleanGuard
0..1
source1target1
comment
0..1
IdentifiableElement
IdentifiableElement
IdentifiableElement
IdentifiableElement
Time
delay : Real
duration : Real
time 0..1
Activity
name : String
start : Real [2]
end : Real [2]
StateTransition
name : String
State
name : String
init : boolean
terminal : boolean
/target
0..1
IdentifiableElement
id : String
Connection
/source
0..1 ConnectionPoint
Header
name : String
execute()
current : boolean
activate()
deactivate()
executeActivities()
value : String
current : boolean
execute()
isEnabled()
fire()
/currentStates *
begin
initial ← {m ∈ members |
m.isTypeOf(State) ∧ m.init}
initial.activate()
terminate ← false
while ¬terminate do
foreach s ∈ currentStates do
if s.target.isEnabled() then
s.target.fire()
if ts ∈ {cs ∈ currentStates |
cs.terminal} then
terminate ← true
16. Tool Support for IML Contribution
Workbench: GEMOC Studio
http://gemoc.org/studio
Implementation of IML
Abstract syntax: Ecore
Concrete syntax: Sirius
Operational semantics: Kermeta
Code repository:
https://github.com/moliz/moliz.gemoc/tree/master/examples/iml
16
The engineering of industry plants is a multidisciplinary process involving various engineering disciplines, such as mechanical engineering, electrical engineering, control engineering, HMI (human-machine) interface engineering, etc.
In such a complex process, the engineers are using specialized tools optimized for performing their engineering activities and they produce diverse artifacts specific to the task at hand.
Therefore, a heterogeneous landscape of engineering tools is needed for designing, running, and maintaining a production system.
Furthermore, engineering a production system is a multi-staged process with different development stages in which engineering activities are executed in parallel.
Thereby, different engineering activities depend on each other and require results of other engineering activities.
Thus, the need for exchange artifacts/engineering data between the heterogeneous tools arises.
How is this data exchange currently achieved?
In most cases artifacts are exchanged via PDFS or print-outs and models have to be manually re-defined in specific tools.
For instance, hall plans created in a specialized tool, such as MicroStation, are re-defined in tools specialized for production line planning; or time schedules developed by mechanical engineers with Microsoft Office tools are manually transferred to PLC programming IDEs.
This is of course highly inefficient and error-prone and leads to substantial costs in the engineering process.
In the light of current movements towards smart production systems, this becomes an even bigger problem, since they demand for more flexibility of production systems, which increases the frequency of engineering activities and the need for integrating engineering activities, engineering tools and improving the cooperation among engineers.
AutomationML Consortium: industrial consortium founded 2006, initiated by Daimler; early members: ABB, KUKA, Rockwell Automation, Siemens, NettAllied, Zühlke, university of Karlsruhe and Magdeburg.
CAEX:
Topology data defining the hierarchical structure of the production system resources ranging from plant level over cell and function levels down to devices and mechanical parts; defining their attributes, relations, interfaces
COLLADA:
Mechanical construction of the production system reflected by geometry and kinematics. Usually it is given by mechanical drawings (MCAD). In addition it contains physical properties like forces, speed, and torsion; or chemical properties like material information.
PLCopen XML:
Control related logic data
Information relevant to characterize the function of a production system component. Thus, it contains functional models of controlled and uncontrolled behavior, functional parameters, technological parameters, etc. all relevant to appropriately describe the production process as well as other processes executable by the component.
Further XML Standard Formats
PLCopen XML is a standard XML format for exchanging PLC code used for programming industrial electo-mechanical processes (industrial control programming).
I.e., the aim is to enable the exchange of PLC (Programmable Logic Controller) programs, libraries and projects between development environments.
(PLCopen XML is a data format applicable as an open interface between all different kinds of software environments providing the ability to transfer PLC programming project information to other platforms.)
In particular, it allows to exchange PLC programs written in any of the five programming languages defined in the IEC 61131 standards.
IEC 61131 programming languages:
- Structured text (textual)
- Instruction list (textual)
- Ladder Diagram (graphical)
- Function Block Diagram (graphical)
- Sequential Function Charts (SFC)
Range from abstract process planning modelled as sequences with Gantt or PERT Charts (planning: plant planning, mechanical engineering, electrical engineering)
over sequencing and interlocking of field device signals modelled by Impulse Diagrams and Logic Networks (PLC programming, robot programming, HMI programming; Impulse diagram: control system behavior; Logical networks: Interlocking)
down to detailed code representation as PLCopen programs or detailed component behaviour modelling based on the automaton approach following Harels State Charts [22]. (SFC+Statechart: mechanical engineering, electrical engineering, PLC programming, robot programming, HDMI programming, virtual commissioning)
Gantt charts: discrete event models to describe the order and execution time of activities.
PERT charts: network plans; describe and analyze temporal relations of the execution of a set of interdependent nodes (timing and interdependence of manufacturing processes).
Impulse diagrams: temporal course of states of system components together with signals among them to activate state changes.
SFC: easy implementation of sequences of operations within controlled system; state-based operation sequences, temporal conditions
State charts: reachable state space
PLCopen XML is a standard XML format for exchanging PLC code used for programming industrial electomechanical processes (industrial control programming).
I.e., the aim is to enable the exchange of PLC (Programmable Logic Controller) programs, libraries and projects between development environments.
(PLCopen XML is a data format applicable as an open interface between all different kinds of software environments providing the ability to transfer PLC programming project information to other platforms.)
In particular, it allows to exchange PLC programs written in any of the five programming languages defined in the IEC 61131 standards.
IEC 61131 programming languages:
- Structured text (textual)
- Instruction list (textual)
- Ladder Diagram (graphical)
- Function Block Diagram (graphical)
- Sequential Function Charts (SFC)
Range from abstract process planning modelled as sequences with Gantt or PERT Charts (planning: plant planning, mechanical engineering, electrical engineering)
over sequencing and interlocking of field device signals modelled by Impulse Diagrams and Logic Networks (PLC programming, robot programming, HMI programming; Impulse diagram: control system behavior; Logical networks: Interlocking)
down to detailed code representation as PLCopen programs or detailed component behaviour modelling based on the automaton approach following Harels State Charts [22]. (SFC+Statechart: mechanical engineering, electrical engineering, PLC programming, robot programming, HDMI programming, virtual commissioning)
Gantt charts: discrete event models to describe the order and execution time of activities.
PERT charts: network plans; describe and analyze temporal relations of the execution of a set of interdependent nodes (timing and interdependence of manufacturing processes).
Impulse diagrams: temporal course of states of system components together with signals among them to activate state changes.
SFC: easy implementation of sequences of operations within controlled system; state-based operation sequences, temporal conditions
State charts: reachable state space
PLCopen XML is a standard XML format for exchanging PLC code used for programming industrial electomechanical processes (industrial control programming).
I.e., the aim is to enable the exchange of PLC (Programmable Logic Controller) programs, libraries and projects between development environments.
(PLCopen XML is a data format applicable as an open interface between all different kinds of software environments providing the ability to transfer PLC programming project information to other platforms.)
In particular, it allows to exchange PLC programs written in any of the five programming languages defined in the IEC 61131 standards.
IEC 61131 programming languages:
- Structured text (textual)
- Instruction list (textual)
- Ladder Diagram (graphical)
- Function Block Diagram (graphical)
- Sequential Function Charts (SFC)
Range from abstract process planning modelled as sequences with Gantt or PERT Charts (planning: plant planning, mechanical engineering, electrical engineering)
over sequencing and interlocking of field device signals modelled by Impulse Diagrams and Logic Networks (PLC programming, robot programming, HMI programming; Impulse diagram: control system behavior; Logical networks: Interlocking)
down to detailed code representation as PLCopen programs or detailed component behaviour modelling based on the automaton approach following Harels State Charts [22]. (SFC+Statechart: mechanical engineering, electrical engineering, PLC programming, robot programming, HDMI programming, virtual commissioning)
Gantt charts: discrete event models to describe the order and execution time of activities.
PERT charts: network plans; describe and analyze temporal relations of the execution of a set of interdependent nodes (timing and interdependence of manufacturing processes).
Impulse diagrams: temporal course of states of system components together with signals among them to activate state changes.
SFC: easy implementation of sequences of operations within controlled system; state-based operation sequences, temporal conditions
State charts: reachable state space
Is currently under standardization (IEC 62714-4). International Electrotechnical Commission.
Thereby, IML does not constitute a new language, but is instead based on the sequential
function charts (SFC) language defined by the IEC 61131-3 standard [17]. Therewith,
IML essentially allows the definition of plant behaviors as discrete state-based operation
sequences. However, IML applies restrictions on SFCs to simplify mappings from and
to IML, and also extends SFCs to make plant behavior models defined with different
languages expressible with IML.
However, by clarifying these aspects of IML, a true exchange of plant behavior models could be achieved and we could even go one step further, namely use IML also as a semantic integration layer for plant behavior models.
And this is what we are proposing in this paper.
In particular, we are proposing to give IML a formal grounding, i.e., formalizing its syntax and semantics and to also formalize the transformations from and to IML by means of model-to-model transformations.
Having that we could actually validate the transformations in terms of checking that they are semantic preserving.
In fact, we could then use IML as semantic domain for plant behavior models allowing us to analyze dynamic properties of that models in IML. For instance, we could conduct model simulations for plant behavior models, check refinement relationships, check consistency among heterogeneous plant behavior models etc.
And we would like to go even one step further and utilize IML as a semantic integration layer for plant behavior models. So we could compose heterogeneous plant behavior models in IML and perform analyses of the global plant behavior expressed in those models.
In this work, we did the first step towards achieving this.
In particular, we defined a metamodel for IML that formalizes its abstract syntax, and we defined an operational semantics for IML formalizing its execution semantics, and we utilized these formalizations to conduct model simulations.
Let’s have a look at these developed artifeacts.
Here you can see an excerpt of the metamodel that we defined for IML.
As I said before, IML is based on sequential function chars, and thus, allows to define basically discrete state-based operation sequences.
So the main elements of IML are States that can execute a sequence of activities and that are connected with state transitions. Besides that there are control structures for expressing concurrent branches in the behavior of elements and alternative branches.
For defining the operational semantics of IML models, we defined additional properties for representing the execution state of an IML model and operations that implement the execution steps involved in the execution.