EnergyTech2015.com
PROCESS AND METHODS
Track 3 Session 1 Moderator: Matthew Hause
Capturing stakeholder needs with MBSE and using the System of Systems VEE™ model for evaluating control, communications, and threat and vulnerability assessment.
Mark Walker- Paper 1: Process and Methods: A fundamental premise of this presentation is that capturing stakeholder needs and the initial development of Systems Engineering documents and architecture models, with top level capability needs/requirements, in a well written rational Concept Document (OCD). This needs to be developed during the first stages of a development which is absolutely critical for the entire life cycle of the system development. With this information in the OCD, written substantially in the stakeholder’s operational terminology, and with Systems Modeling Language (SysMLTM) architecture views, this set of integrated products provide the foundation for all future stages of a development and the system’s operational life. The primary emphasis is the critical importance of the “System” Use Case Diagrams (SysUCD), their associated Scenarios and Sequence Diagrams and how essential it is to develop these with the operational customer in this first stage. This is accomplished by applying the Stakeholder Needs Analysis process using the recommended Object Oriented Systems Engineering Method (OOSEM) and translating the information into well-defined stakeholder and systems engineering products and architecture views/models
Loyd Baker: MBSE - connecting the dots process with loyd bakerEnergyTech2015
SYSTEMS THINKING & MBSE Track 3 Session 2 Moderator: Mark Walker Deployment of MBSE and Systems Thinking in an energy technology company and an evaluation of interfaces in a system of systems development. Loyd Baker - Paper 2: Model-Based Systems Engineering (MBSE) Connecting The Dots Process
Is Model Based Systems Engineering (MBSE) something new? No, MBSE methods and techniques have been individually practiced by many good engineers and analyst. The MBSE process presented in this presentation is about “Connecting the Dots”. The problem has been that project management has been obsessed with ‘deliverable documents’ rather than delivering an engineering data-model that can be used to support analyses, end-to-end traceability, and automatically produce the deliverable documents from the data-model.
· The engineering data-model usually consists of entities, attributes, relationships, and diagrams that specify the system architecture.
· Remember a diagram (graphical model) is worth a thousand words. These diagrams aid in communicating ideas/concepts among project personnel and the customer.
What is new is the SysML modeling language. It should help with communication issues by having a common way to describe system architectures
Mark Minnucci: Deployment of MBSE and the Emergence of a Systems-Thinking Cul...EnergyTech2015
SYSTEMS THINKING & MBSE
Track 3 Session 2
Moderator: Mark Walker
Deployment of MBSE and Systems Thinking in an energy technology company and an evaluation of interfaces in a system of systems development.
Mark Minnucci – Paper 1: Deployment of MBSE and Emergence of a Systems-Thinking Culture
Schneider Electric is a global specialist in the markets of energy management and automation. Historically, the Schneider portfolio has concentrated on mass-production of electro-mechanical consumer products. Today, Schneider product functionality and complexity are both rapidly increasing through the addition of embedded control software and wireless connectivity. In this presentation, I will share how my organization has championed this culture change, our roadmap for growing a community of experts from the ground up, and lessons-learned that will be applicable to all members of the audience who may be facing the same challenges in their own companies. This presentation will also provide a brief overview of the specific MBSE framework that Schneider Electric is using.
This document provides a summary of the Systems Engineering Handbook version 3 published by the International Council on Systems Engineering (INCOSE). The handbook aims to describe key systems engineering processes and activities over the lifecycle of a system. It includes sections on systems engineering overview, generic lifecycle stages, technical and project processes, enabling activities, and specialty engineering activities. The handbook is intended to serve as a guide for practitioners and references internationally accepted standards for systems engineering.
THE ENERGY GRID & Integration of IOT
Track 3 Session 3 Moderator: Mark Walker
Quantified results of an Energy Grid Management Use Case that explore grid performance boundaries in the face of proliferated residential solar array deployments is presented. The Use Case demonstrates how modern IT open source tools can be integrated into a grid simulation that provides a decision support tool for the utility industry to manage future change. GridLab-D is used as an agent based model to simulate energy consumer nodes in a complex inter-connected grid using a modern IBM SystemG graph computing engine. The resulting simulation environment executes the simulated grid network with structured and unstructured data results stored in the graph database. Big Data Analytics performed on the resulting simulation data using IBM Big Data Analytics tools and Sandia National Lab DAKOTA uncertainty quantification and statistical analysis tools allow for interrogation of the resulting performance database to establish performance characteristics visualized through graphs. The work is leverages DoD sponsored research in Uncertainty Quantification in complex System of System Modeling and Simulation environments and demonstrates future model based techniques for risk management, financial modeling, grid resiliency and critical infrastructure protection.
This is a power-point presentation prepared for the students who are studying SYSTEM ENGINEERING in Fourth Semester (CBCS) of the branches of colleges affiliated to RGPV, Bhopal (M.P.). In this presentation, topics of the first unit in the syllabus are covered. I hope it will be helpful to the students.
This document provides an introduction to complex system engineering. It defines what a system is, provides examples of complex systems like information systems, and discusses key aspects of systems engineering including the system lifecycle, iterative processes, requirements, architecture, integration, and verification and validation. Key definitions and concepts in systems engineering are explained at a high level.
Seven systems engineering myths and the corresponding realitiesJoseph KAsser
The document discusses seven myths of systems engineering and the corresponding realities. It summarizes that there is no single agreed upon systems engineering process and standards cover different parts of the process rather than the whole. The "V model" is presented as a simplified representation but does not actually represent a process and does not cope with change. Successful systems engineering relies more on people factors like involvement and support rather than strictly following a process.
The document provides an overview of Team 2's final project on the Systems Engineering Body of Knowledge (SEBoK). It includes:
1) An introduction to the SEBoK that describes its history, purpose, description of its seven major parts, and current status.
2) An overview of the SysML modeling language that describes its history, purpose, key diagrams like requirements, block definition, internal block and parametric diagrams, and how it relates to systems engineering processes.
3) A potential application of SysML for Millennium Systems to benefit from modeling system requirements, structure, behavior and performing engineering analysis using its constraint blocks and equations.
Loyd Baker: MBSE - connecting the dots process with loyd bakerEnergyTech2015
SYSTEMS THINKING & MBSE Track 3 Session 2 Moderator: Mark Walker Deployment of MBSE and Systems Thinking in an energy technology company and an evaluation of interfaces in a system of systems development. Loyd Baker - Paper 2: Model-Based Systems Engineering (MBSE) Connecting The Dots Process
Is Model Based Systems Engineering (MBSE) something new? No, MBSE methods and techniques have been individually practiced by many good engineers and analyst. The MBSE process presented in this presentation is about “Connecting the Dots”. The problem has been that project management has been obsessed with ‘deliverable documents’ rather than delivering an engineering data-model that can be used to support analyses, end-to-end traceability, and automatically produce the deliverable documents from the data-model.
· The engineering data-model usually consists of entities, attributes, relationships, and diagrams that specify the system architecture.
· Remember a diagram (graphical model) is worth a thousand words. These diagrams aid in communicating ideas/concepts among project personnel and the customer.
What is new is the SysML modeling language. It should help with communication issues by having a common way to describe system architectures
Mark Minnucci: Deployment of MBSE and the Emergence of a Systems-Thinking Cul...EnergyTech2015
SYSTEMS THINKING & MBSE
Track 3 Session 2
Moderator: Mark Walker
Deployment of MBSE and Systems Thinking in an energy technology company and an evaluation of interfaces in a system of systems development.
Mark Minnucci – Paper 1: Deployment of MBSE and Emergence of a Systems-Thinking Culture
Schneider Electric is a global specialist in the markets of energy management and automation. Historically, the Schneider portfolio has concentrated on mass-production of electro-mechanical consumer products. Today, Schneider product functionality and complexity are both rapidly increasing through the addition of embedded control software and wireless connectivity. In this presentation, I will share how my organization has championed this culture change, our roadmap for growing a community of experts from the ground up, and lessons-learned that will be applicable to all members of the audience who may be facing the same challenges in their own companies. This presentation will also provide a brief overview of the specific MBSE framework that Schneider Electric is using.
This document provides a summary of the Systems Engineering Handbook version 3 published by the International Council on Systems Engineering (INCOSE). The handbook aims to describe key systems engineering processes and activities over the lifecycle of a system. It includes sections on systems engineering overview, generic lifecycle stages, technical and project processes, enabling activities, and specialty engineering activities. The handbook is intended to serve as a guide for practitioners and references internationally accepted standards for systems engineering.
THE ENERGY GRID & Integration of IOT
Track 3 Session 3 Moderator: Mark Walker
Quantified results of an Energy Grid Management Use Case that explore grid performance boundaries in the face of proliferated residential solar array deployments is presented. The Use Case demonstrates how modern IT open source tools can be integrated into a grid simulation that provides a decision support tool for the utility industry to manage future change. GridLab-D is used as an agent based model to simulate energy consumer nodes in a complex inter-connected grid using a modern IBM SystemG graph computing engine. The resulting simulation environment executes the simulated grid network with structured and unstructured data results stored in the graph database. Big Data Analytics performed on the resulting simulation data using IBM Big Data Analytics tools and Sandia National Lab DAKOTA uncertainty quantification and statistical analysis tools allow for interrogation of the resulting performance database to establish performance characteristics visualized through graphs. The work is leverages DoD sponsored research in Uncertainty Quantification in complex System of System Modeling and Simulation environments and demonstrates future model based techniques for risk management, financial modeling, grid resiliency and critical infrastructure protection.
This is a power-point presentation prepared for the students who are studying SYSTEM ENGINEERING in Fourth Semester (CBCS) of the branches of colleges affiliated to RGPV, Bhopal (M.P.). In this presentation, topics of the first unit in the syllabus are covered. I hope it will be helpful to the students.
This document provides an introduction to complex system engineering. It defines what a system is, provides examples of complex systems like information systems, and discusses key aspects of systems engineering including the system lifecycle, iterative processes, requirements, architecture, integration, and verification and validation. Key definitions and concepts in systems engineering are explained at a high level.
Seven systems engineering myths and the corresponding realitiesJoseph KAsser
The document discusses seven myths of systems engineering and the corresponding realities. It summarizes that there is no single agreed upon systems engineering process and standards cover different parts of the process rather than the whole. The "V model" is presented as a simplified representation but does not actually represent a process and does not cope with change. Successful systems engineering relies more on people factors like involvement and support rather than strictly following a process.
The document provides an overview of Team 2's final project on the Systems Engineering Body of Knowledge (SEBoK). It includes:
1) An introduction to the SEBoK that describes its history, purpose, description of its seven major parts, and current status.
2) An overview of the SysML modeling language that describes its history, purpose, key diagrams like requirements, block definition, internal block and parametric diagrams, and how it relates to systems engineering processes.
3) A potential application of SysML for Millennium Systems to benefit from modeling system requirements, structure, behavior and performing engineering analysis using its constraint blocks and equations.
Model based engineering tutorial thomas consulting 4_sep13-1seymourmedia
This document discusses model-based system engineering (MBSE) and its application to the design of electro-optical sensors. It describes how MBSE differs from traditional engineering approaches by enabling integrated modeling across disciplines. Examples are given that show how MBSE allows designs to be evaluated earlier and problems to be identified and resolved more quickly. Both advantages and disadvantages of the MBSE approach are outlined. The author's goal of promoting wider adoption of MBSE methods through consulting is also mentioned.
1. Systems engineering is an interdisciplinary approach that focuses on designing and managing complex systems as a whole rather than individual parts. It involves considering all aspects of a problem and relating technical and social factors.
2. A system is made up of interacting elements that work together to achieve specific purposes. Systems engineering is concerned with both the internal structure of a system's components and interactions, as well as a system's external relationships.
3. There are many common misconceptions about systems engineering, but it provides value through a holistic, big-picture thinking style and enabling complex problems to be addressed and transformations delivered through the life of a project.
Systems Engineering is a very broad , overarching, and generally applicable engineering discipline. Many types of systems are developed using SE. These include biomedical systems, space vehicle systems, weapon systems, transportation systems, and so on.
Systems Engineering involves the coordination of work performed by engineers from all other engineering disciplines (electrical, mechanical, computer, software, etc.) as required to complete the engineering work on the project/program.
This document outlines a proposed systematic architecture design (SAD) framework that aims to integrate non-functional requirements (NFRs) into model-driven development (MDD) processes. It presents a motivation example comparing two travel agency systems with different NFRs. It then proposes an NFR-aware MDD process with either automatic or interactive variants. The SAD contributions include tools like ArchiTech and an ontology-based knowledge system called Arteon. Future work includes further implementing and validating parts of the proposed framework through empirical studies.
See the major new features and improvements in Innoslate 4.3. The latest version of Innoslate has two brand new diagrams Interface Control Diagram (ICD) and a Risk Burndown Chart. You asked and we delivered; a ReqIF Import and Export. We've also added that Cross Project Entities will be visual noticeable in all views with a new purple symbol indicator, dashed purple lines, or purple background color. Now search has been redesigned for a more flexible user experience. All entity’s attributes can now be searched as well as searching by entity id, relationship name, and attribute name. Dr. Dam will demonstrate best practices for using all the new diagrams, features, and even some of the improvements. Stay for the question and answer session to ask any or all your questions. We look forward to having you there!
Software Architecture: introduction to the abstractionHenry Muccini
The document provides an introduction to software architecture concepts including:
- Software architecture is defined as a set of components and connectors communicating through interfaces along with architecture design decisions.
- Multiple views are used to describe architectures including logical, process, deployment, and more.
- Architectural styles like pipe-and-filter and layered styles guide architecture design.
- Careful architecture design is important as it impacts system properties like performance, scalability, and testability.
Socio-technical systems include both technical and human elements. They are made up of interconnected layers from equipment and software to business processes and societal rules. Properties emerge from the interactions between these layers, including reliability, security, and usability. Whether a socio-technical system is considered a success or failure depends on perspective, as stakeholders have differing views and system behavior is non-deterministic due to human factors. Failures are also inevitable given the complexity of relationships in socio-technical systems.
This document provides an introduction to software architecture design. It discusses key concepts like the relationship between requirements and architecture, architecture styles, quality attributes, and tradeoff analysis. The document is divided into multiple parts that cover topics such as an overview of software architecture, common architecture styles, quality attributes, and some rules of thumb for architecture design.
This document introduces software architecture and provides examples using GitHub. It defines software architecture as the fundamental concepts or properties of a system embodied in its elements, relationships, and design principles. The document outlines Philippe Kruchten's 4+1 view model for describing software architecture, including logical, process, physical and development views in addition to scenarios. Diagrams for GitHub's class, component, sequence and deployment architectures are presented as examples.
The document discusses socio-technical systems and their key differences from technical computer systems. Socio-technical systems include technical, organizational and human elements. Emergent properties like reliability depend on complex interactions between system components and are difficult to predict. Systems engineering aims to design socio-technical systems to meet requirements while accounting for organizational factors. Legacy systems also present challenges due to their critical role and difficulty evolving over time.
Using Innoslate for Model-Based Systems EngineeringElizabeth Steiner
Dr. Steve Dam will walk you through the process of using Innoslate’s modeling and simulation capabilities while applying a MBSE methodology.
At its core, Innoslate is a full model-based systems engineering tool. Within Innoslate, system models are formalized and capable of simulation to derive cost, schedule, and performance data.
Your webinar will cover:
Functional modeling
Functional modeling is at the heart of how Innoslate derives new requirements and ensures logical accuracy.
Physical modeling
We can describe synthesizing the physical model in Innoslate with eight different diagrams, including the Asset Diagram, Layer Diagram, Block Definition Diagram, and Internal Block Diagram.
Executing a model
Innoslate includes a ‘Discrete Event Simulator’ to verify functional diagram’s logic, calculate cost, compute time, and quantify performance.
Relating Requirements to Diagrams
Requirements traceability ensures that the lifecycle and origin of a requirement is fully tracked. Innoslate includes relationship matrices to represent traceability relationships between entities in tabular view.
Requirements Generation
After modeling the system, often an engineer will derive textual requirements from the models by hand. Innoslate includes an automatic facility that generates requirements documents in a standard format (as outlined in “The Engineering Design of Systems: Models and Methods“).
The document discusses ultra large scale systems (ULSS) and introduces key points from an SEI report on ULSS. It defines ULSS as interconnected webs of software, people, policies and economics at an internet scale. The scale of ULSS undermines traditional software engineering approaches. Some challenges in developing ULSS include design/evolution, orchestration, monitoring, organizational integration, and regulation/control. New interdisciplinary research is needed to address issues arising from increased system scale.
A Model-Based Systems Engineering Approach to Portfolio ManagementElizabeth Steiner
Learn about the importance of The Lifecycle Modeling Language (LML) to portfolio management. LML provides an open standard ontology and diagram framework that enables more effective communications to all stakeholders in the acquisition process.
Innoslate® implements and extends LML making Innoslate easier to learn and adopt than any other tool available today in the program management and systems engineering domains. You will also learn how Innoslate is built on a modular open systems approach (MOSA) architecture and can be easily integrated with other modern tools. This webinar will also include a sneak preview of Innoslate 4.5's program management features.
Software Architecture and Design IntroductionUsman Khan
The document discusses software architecture and design. It defines software architecture as describing a system's major components, their relationships, and how they interact. Software design provides a plan for how system elements fit and work together. An important role of architecture is to identify requirements that affect structure and reduce risks. Quality attributes, both static and dynamic, are important non-functional properties like maintainability, performance, and security. Architects must consider these attributes and deliver solutions that technical teams can implement.
Software Architecture by Reuse, Composition and Customization Ivano Malavolta
Ivano Malavolta.
Research Fellow at the Computer Science Department of the University of L'Aquila (Italy).
PhD thesis presentation, University of L'Aquila, March 2012.
The full PhD thesis is available here:
http:www.di.univaq.it/malavolta/files/IvanoMalavoltaPhDThesis.pdf
This document provides an overview of software architectures and architectural structures. It discusses different types of architectural structures, including module structures, component-and-connector structures, and allocation structures. Module structures focus on modules and their relationships, component-and-connector structures examine runtime components and connectors, and allocation structures show how software elements map to environments. The document then examines specific architectural structures like modules, layers, classes, processes, repositories, and deployment. It emphasizes that an architect should focus on a few key structures like logical, process, development, and physical views to validate that the architecture meets requirements.
This document discusses architectural design and software architecture. It covers topics like architectural design decisions, system organization styles, decomposition styles, control styles, and reference architectures. The objectives are to introduce architectural design, explain important decisions, and discuss styles for organizing, decomposing, and controlling systems. Examples and characteristics of different architectural patterns are provided.
The document discusses the Architecture Business Cycle (ABC), which describes the relationships between a system's architecture, its environment, and the factors that influence both. The ABC is a cycle of influences between the architecture and various technical, business, and social environments. It shows how architectures are shaped by stakeholders, the developing organization, the architect's experience, and the technical environment. In turn, architectures influence the organization's structure and goals, customer requirements, and the architect's experience on subsequent systems. The cycle represents how organizational goals and requirements inform the architecture, which then informs the developed systems and feeds back to influence the organization.
This document discusses sociotechnical systems and introduces their key concepts. It defines a system as a purposeful collection of interrelated components working towards a common goal. Sociotechnical systems specifically include both technical systems (e.g. software, hardware) as well as the operational processes and people interacting with the technical systems. These systems have a layered "stack" structure with different levels including equipment, operating systems, applications, business processes, organizations, and broader society. Changes at one level can ripple through other levels due to interdependencies between layers. Achieving dependability requires containing failures within layers and understanding how adjacent layers may be affected.
INCOSE UK: MBSE - is there any substance behind the hype?James Towers
MBSE is generating interest within the systems engineering community. The term is not well defined and some engineers view MBSE as just "good systems engineering". The document discusses defining MBSE and distinguishing it from other approaches. It also explores the roles of models and modeling in engineering work. The author examines questions around what MBSE is and how it relates to systems engineering practices.
Finding and adopting oer with CanvasCommons, OpenStax, and SaylorUna Daly
Please join the Community College Consortium for Open Educational Resources (CCCOER) for a free, open webinar on finding the most recently updated open textbooks, open courses, and open educational resources for college. Speakers will share their open collections: how to find content, peer review processes, and strategies for encouraging faculty adoptions to improve teaching and learning and expand access for learners.
Date: Wed, Sept 9, Time: 10 am PST, 1:00 pm EST
Featured Speakers:
open neon sign
Image: CCO License
Kate McGee, Project Director, Canvas Commons
Nicole Finkbeiner, Associate Director of Institutional Relations, OpenStax College
Tanner Huggins, Educational Project Manager, Saylor Academy
Model based engineering tutorial thomas consulting 4_sep13-1seymourmedia
This document discusses model-based system engineering (MBSE) and its application to the design of electro-optical sensors. It describes how MBSE differs from traditional engineering approaches by enabling integrated modeling across disciplines. Examples are given that show how MBSE allows designs to be evaluated earlier and problems to be identified and resolved more quickly. Both advantages and disadvantages of the MBSE approach are outlined. The author's goal of promoting wider adoption of MBSE methods through consulting is also mentioned.
1. Systems engineering is an interdisciplinary approach that focuses on designing and managing complex systems as a whole rather than individual parts. It involves considering all aspects of a problem and relating technical and social factors.
2. A system is made up of interacting elements that work together to achieve specific purposes. Systems engineering is concerned with both the internal structure of a system's components and interactions, as well as a system's external relationships.
3. There are many common misconceptions about systems engineering, but it provides value through a holistic, big-picture thinking style and enabling complex problems to be addressed and transformations delivered through the life of a project.
Systems Engineering is a very broad , overarching, and generally applicable engineering discipline. Many types of systems are developed using SE. These include biomedical systems, space vehicle systems, weapon systems, transportation systems, and so on.
Systems Engineering involves the coordination of work performed by engineers from all other engineering disciplines (electrical, mechanical, computer, software, etc.) as required to complete the engineering work on the project/program.
This document outlines a proposed systematic architecture design (SAD) framework that aims to integrate non-functional requirements (NFRs) into model-driven development (MDD) processes. It presents a motivation example comparing two travel agency systems with different NFRs. It then proposes an NFR-aware MDD process with either automatic or interactive variants. The SAD contributions include tools like ArchiTech and an ontology-based knowledge system called Arteon. Future work includes further implementing and validating parts of the proposed framework through empirical studies.
See the major new features and improvements in Innoslate 4.3. The latest version of Innoslate has two brand new diagrams Interface Control Diagram (ICD) and a Risk Burndown Chart. You asked and we delivered; a ReqIF Import and Export. We've also added that Cross Project Entities will be visual noticeable in all views with a new purple symbol indicator, dashed purple lines, or purple background color. Now search has been redesigned for a more flexible user experience. All entity’s attributes can now be searched as well as searching by entity id, relationship name, and attribute name. Dr. Dam will demonstrate best practices for using all the new diagrams, features, and even some of the improvements. Stay for the question and answer session to ask any or all your questions. We look forward to having you there!
Software Architecture: introduction to the abstractionHenry Muccini
The document provides an introduction to software architecture concepts including:
- Software architecture is defined as a set of components and connectors communicating through interfaces along with architecture design decisions.
- Multiple views are used to describe architectures including logical, process, deployment, and more.
- Architectural styles like pipe-and-filter and layered styles guide architecture design.
- Careful architecture design is important as it impacts system properties like performance, scalability, and testability.
Socio-technical systems include both technical and human elements. They are made up of interconnected layers from equipment and software to business processes and societal rules. Properties emerge from the interactions between these layers, including reliability, security, and usability. Whether a socio-technical system is considered a success or failure depends on perspective, as stakeholders have differing views and system behavior is non-deterministic due to human factors. Failures are also inevitable given the complexity of relationships in socio-technical systems.
This document provides an introduction to software architecture design. It discusses key concepts like the relationship between requirements and architecture, architecture styles, quality attributes, and tradeoff analysis. The document is divided into multiple parts that cover topics such as an overview of software architecture, common architecture styles, quality attributes, and some rules of thumb for architecture design.
This document introduces software architecture and provides examples using GitHub. It defines software architecture as the fundamental concepts or properties of a system embodied in its elements, relationships, and design principles. The document outlines Philippe Kruchten's 4+1 view model for describing software architecture, including logical, process, physical and development views in addition to scenarios. Diagrams for GitHub's class, component, sequence and deployment architectures are presented as examples.
The document discusses socio-technical systems and their key differences from technical computer systems. Socio-technical systems include technical, organizational and human elements. Emergent properties like reliability depend on complex interactions between system components and are difficult to predict. Systems engineering aims to design socio-technical systems to meet requirements while accounting for organizational factors. Legacy systems also present challenges due to their critical role and difficulty evolving over time.
Using Innoslate for Model-Based Systems EngineeringElizabeth Steiner
Dr. Steve Dam will walk you through the process of using Innoslate’s modeling and simulation capabilities while applying a MBSE methodology.
At its core, Innoslate is a full model-based systems engineering tool. Within Innoslate, system models are formalized and capable of simulation to derive cost, schedule, and performance data.
Your webinar will cover:
Functional modeling
Functional modeling is at the heart of how Innoslate derives new requirements and ensures logical accuracy.
Physical modeling
We can describe synthesizing the physical model in Innoslate with eight different diagrams, including the Asset Diagram, Layer Diagram, Block Definition Diagram, and Internal Block Diagram.
Executing a model
Innoslate includes a ‘Discrete Event Simulator’ to verify functional diagram’s logic, calculate cost, compute time, and quantify performance.
Relating Requirements to Diagrams
Requirements traceability ensures that the lifecycle and origin of a requirement is fully tracked. Innoslate includes relationship matrices to represent traceability relationships between entities in tabular view.
Requirements Generation
After modeling the system, often an engineer will derive textual requirements from the models by hand. Innoslate includes an automatic facility that generates requirements documents in a standard format (as outlined in “The Engineering Design of Systems: Models and Methods“).
The document discusses ultra large scale systems (ULSS) and introduces key points from an SEI report on ULSS. It defines ULSS as interconnected webs of software, people, policies and economics at an internet scale. The scale of ULSS undermines traditional software engineering approaches. Some challenges in developing ULSS include design/evolution, orchestration, monitoring, organizational integration, and regulation/control. New interdisciplinary research is needed to address issues arising from increased system scale.
A Model-Based Systems Engineering Approach to Portfolio ManagementElizabeth Steiner
Learn about the importance of The Lifecycle Modeling Language (LML) to portfolio management. LML provides an open standard ontology and diagram framework that enables more effective communications to all stakeholders in the acquisition process.
Innoslate® implements and extends LML making Innoslate easier to learn and adopt than any other tool available today in the program management and systems engineering domains. You will also learn how Innoslate is built on a modular open systems approach (MOSA) architecture and can be easily integrated with other modern tools. This webinar will also include a sneak preview of Innoslate 4.5's program management features.
Software Architecture and Design IntroductionUsman Khan
The document discusses software architecture and design. It defines software architecture as describing a system's major components, their relationships, and how they interact. Software design provides a plan for how system elements fit and work together. An important role of architecture is to identify requirements that affect structure and reduce risks. Quality attributes, both static and dynamic, are important non-functional properties like maintainability, performance, and security. Architects must consider these attributes and deliver solutions that technical teams can implement.
Software Architecture by Reuse, Composition and Customization Ivano Malavolta
Ivano Malavolta.
Research Fellow at the Computer Science Department of the University of L'Aquila (Italy).
PhD thesis presentation, University of L'Aquila, March 2012.
The full PhD thesis is available here:
http:www.di.univaq.it/malavolta/files/IvanoMalavoltaPhDThesis.pdf
This document provides an overview of software architectures and architectural structures. It discusses different types of architectural structures, including module structures, component-and-connector structures, and allocation structures. Module structures focus on modules and their relationships, component-and-connector structures examine runtime components and connectors, and allocation structures show how software elements map to environments. The document then examines specific architectural structures like modules, layers, classes, processes, repositories, and deployment. It emphasizes that an architect should focus on a few key structures like logical, process, development, and physical views to validate that the architecture meets requirements.
This document discusses architectural design and software architecture. It covers topics like architectural design decisions, system organization styles, decomposition styles, control styles, and reference architectures. The objectives are to introduce architectural design, explain important decisions, and discuss styles for organizing, decomposing, and controlling systems. Examples and characteristics of different architectural patterns are provided.
The document discusses the Architecture Business Cycle (ABC), which describes the relationships between a system's architecture, its environment, and the factors that influence both. The ABC is a cycle of influences between the architecture and various technical, business, and social environments. It shows how architectures are shaped by stakeholders, the developing organization, the architect's experience, and the technical environment. In turn, architectures influence the organization's structure and goals, customer requirements, and the architect's experience on subsequent systems. The cycle represents how organizational goals and requirements inform the architecture, which then informs the developed systems and feeds back to influence the organization.
This document discusses sociotechnical systems and introduces their key concepts. It defines a system as a purposeful collection of interrelated components working towards a common goal. Sociotechnical systems specifically include both technical systems (e.g. software, hardware) as well as the operational processes and people interacting with the technical systems. These systems have a layered "stack" structure with different levels including equipment, operating systems, applications, business processes, organizations, and broader society. Changes at one level can ripple through other levels due to interdependencies between layers. Achieving dependability requires containing failures within layers and understanding how adjacent layers may be affected.
INCOSE UK: MBSE - is there any substance behind the hype?James Towers
MBSE is generating interest within the systems engineering community. The term is not well defined and some engineers view MBSE as just "good systems engineering". The document discusses defining MBSE and distinguishing it from other approaches. It also explores the roles of models and modeling in engineering work. The author examines questions around what MBSE is and how it relates to systems engineering practices.
Finding and adopting oer with CanvasCommons, OpenStax, and SaylorUna Daly
Please join the Community College Consortium for Open Educational Resources (CCCOER) for a free, open webinar on finding the most recently updated open textbooks, open courses, and open educational resources for college. Speakers will share their open collections: how to find content, peer review processes, and strategies for encouraging faculty adoptions to improve teaching and learning and expand access for learners.
Date: Wed, Sept 9, Time: 10 am PST, 1:00 pm EST
Featured Speakers:
open neon sign
Image: CCO License
Kate McGee, Project Director, Canvas Commons
Nicole Finkbeiner, Associate Director of Institutional Relations, OpenStax College
Tanner Huggins, Educational Project Manager, Saylor Academy
Overview of Model Based Systems Engineering Using InnoslateElizabeth Steiner
The document provides an overview of model-based systems engineering (MBSE) and how the tool Innoslate aids in MBSE. It discusses that MBSE uses models to represent physical and functional aspects of a system and manage systems engineering data, which improves collaboration and efficiency over traditional documentation-based approaches. The presentation agenda covers what MBSE is, why it is needed, its key characteristics including reusable data and views, and how Innoslate supports MBSE through features like action diagrams, various views, reports, and collaboration tools. A live demonstration of Innoslate's MBSE capabilities is also included.
This document discusses best practices for data management in model-based systems engineering. It covers a demo of classical vs. data-based system architecture design using SCADE System. Key features of SCADE System include graphical modeling of system functional decomposition, architecture, and allocations. It allows importing and exporting of customizable data dictionaries to link data with functional and architecture models. Traceability, documentation, model checking, merging and synchronization features help support the systems engineering process.
This document provides an overview of different curriculum design models including subject-centered, learner-centered, and humanistic designs. It describes examples of each model such as subject design, discipline design, and correlation design for subject-centered and child-centered, experienced-centered, and humanistic designs for learner-centered. It also provides biographies of influential educational theorists and psychologists related to these models such as John Dewey, Friedrich Froebel, Carl Rogers, Abraham Maslow, Henry Morrison, and William Harris.
EnergyTech2015.com Track 4 Session 2 SHAPING POLICY ON CRITICAL INFRASTRUCTURE PROTECTION AND RECOVERY Moderator: Mike DeLamare Panelists will briefly present current policy efforts, or the effects of policy on providers. This will be followed by Q&A from the audience. Panelists: Andrea Boland: Discuss current and pending Legislation for the State of Maine as compared to other States: /Maine John Ostrich: Speaking on the Space Weather Policy and Action Plan Patrick Shaw: Addressing the business continuity and the emergency management consequences of long-term power outages Kevin Goodman: Policy effects on Power and Data Centers Chuck Manto: Policy as a catalyst for technical innovations
Branndon Kelley Keynote on Cybersecurity and the Smart Utility EnergyTech2015
In an effort to make a Utility more “Smart” the business units within are requiring additional data for business intelligence, predictive and data analytics and asset optimization. To acquire the necessary data points the once “disconnected” power plants, electric grid, and the consumer now have to be connected. Utilizing sensor technology, advanced metering, and automated controls the systems within the power plant, transmission & distribution grid, and even a home or business now become vulnerable. In addition to this business-enabling concept the threat of a full-fledged cyber-attack or at the minimum cyber espionage is real. Utilities are now faced with these threats and must spend enormous amounts of capital and operational dollars to protect their assets utilizing a “not if, but when” mentality. The two competing concepts create a paradox – the more we connect the utility, the more vulnerable it be- comes -however, without connecting the utility, the less “Smart” we can be.
William Good: Extra Small Modular ReactorsEnergyTech2015
EnergyTech2015.com
TERRESTRIAL POWER TECHNOLOGY II
Track 2 Session 2
Moderator: Don Brown, NASA
This session continued the previous session’s exploration of technologies to improve terrestrial power systems including; power systems for building and industrial power, advanced generation, energy storage and smart grid developments.
David J. Sadey: Paper 1: Operation and Control of a Three-Phase Megawatt-Class Variable Frequency Power Generation and Distribution System
William Good: Paper 2: Modular Nuclear Power
Josh Sparber: Paper 3: Effective Measures for Protection of US Power Grid
Neil Tyrrell : Paper 4: Fast and flexible combined cycle gas turbines
Jenita McGowan is responsible as Chief of Sustainability for advising the City on policies related to sustainability and the oversight of the Office of Sustainability; leading the coordination of Sustainable Cleveland 2019 to develop new strategies that allow Cleveland to use sustainability as an innovation engine for economic growth, and reducing the City’s ecological footprint with solutions that also save the City money.
Andrew Ritch: Interruption in the Utility IndustryEnergyTech2015
EnergyTech2015.com
INTERRUPTION IN THE UTILITY INDUSTRY?
Track 1 Session 1
Electricity markets are experiencing fundamental changes because of solar, wind, electric vehicles, energy efficiency programs, storage and other forms of distributed generation that may be intermittent or require changes/upgrades to the electric grid. There is also an increase in the availability of smart meters and other devices that can help customers control their electric demand and usage. As a result, demand is less predictable and more volatile. This change also creates challenges for transmission and distribution for all load serving entities, even with new real-time data availability and grid visibility. What technological, regulatory, and/or policy changes are needed in the short term and longer term to keep pace? What will these changes mean for reliability? How will the traditional utility model change in the coming years?
Moderator: Commissioner Beth Trombold, PUCO
Robert Wargo, Vice President, Reliability First Corp.
Andrew Ritch, Energy Wholesale Renewables Director, Duke Energy
Andrew Ott, Executive Vice President, PJM Interconnection
Benjamin Loop: Simulation Environment for Power Management and Distribution D...EnergyTech2015
EnergyTech2015.com
SPACE POWER SYSTEMS
Track 2 Session 4 Moderator: James Soeder
This session explored power technologies being developed to enable more advanced deep space missions including; unique power systems, autonomous and intelligent control and real time simulation
Ms Anne McNellis: Paper 1: NASA Intelligent Power Control,
Dr Benjamin Loop: Paper 2: Real Time Simulation for NASA Intelligent Power Control Development
Dr Brad Glenn: Paper 3: Helm Algorithm Development for NASA Intelligent Power Control
Anurandha Annaswamy: Computation Model of the Nexus Between Natural Gas and E...EnergyTech2015
THE GAS AND ELECTRIC UTILITY INDUSTRY: CARBON CONSTRAINED
Monday, November 30th Track 1 Session 3
This session will focus on the impact U.S. EPA Clean Power Plan (CPP) will play in shaping changes to the natural gas market, including the shale gas marketplace both domestically and perhaps internationally. The inter-dependency between the natural gas and electric industry is growing as there is more movement toward natural gas fired generation and away from coal fired generation. Natural gas companies are already seeing an increased need for infrastructure expansion from the growing gas-electric inter-dependency. What are the benefits and risks facing the natural gas industry? What role does the shale gas industry play? What will the changes mean for gas producers, electric utilities and technology now and in the future both in the U.S and abroad?
Track One Changing Dynamics of the Global Energy Landscape: What are the major forces driving the sea-changes occurring in all phases of Energy Systems i.e., Exploration, Generation, Distribution, Consumption, etc; Systems Support to Policy & Decision Makers; Energy Economics and Politics; how will Systems Engineering facilitate decision making?
Anurandha Annaswamy from Massachusetts Institute of Technology
Josh Long: Minimum Cyber Security Requirements for a 20 MW Photo Voltaic Field EnergyTech2015
EnergyTech2015.com Track 4 Session 3 RESILIENT APPLICATIONS Moderator: Mike Delamare
Josh Long: Minimum Cyber Security Requirements for a 20 MW Photo Voltaic Field
Brian Patterson: The role of Direct Current micro-grids and data centers for efficiency and resilience
Irv Badr: Managing Risk Factors in Critical Infrastructure
Gareth Digby: Systems-Based Approach to Cyber Investigations EnergyTech2015
EnergyTech2015.com
ENERGIZING MBSE IN ORGANIZATIONS
Track 3 Session 4 Moderator: Matthew Hause
Implementing System Engineering disciplines and practices in an energy company and a panel discussion of how to promote the use of MBSE in the energy systems.
Gareth Digby: A Systems-based Approach To Cyber Investigations The presentation discusses the role of a systems-based approach to cyber investigations and demonstrates how such an approach can help the investigator ensure that a holistic view is take to the identification and analysis of appropriate evidence. Systems engineers are familiar with the need to consider the system within its environment while being aware of the interaction of the system with both people and other systems. These aspects also need to be considered when we investigate what has happened to a system as well as when we create systems.
One element of this systems-based approach is the Human-System-Environment matrix, which offers an appropriate framework to guide the collection of evidence. In particular the matrix emphasizes the temporal aspects associated with evidence gathering. In addition the cyber investigator is not dealing with a system in isolation. The systems-based approach discusses the need to identify the interfaces of the system with the greater system-of-systems.
The value of this systems-based approach to the various stages of a cyber investigation is described, including during the incident investigation, the collection of evidence and the analysis of data. This systems-based approach for an investigation gives the investigator the freedom to go in appropriate directions as the investigation proceeds while ensuring the investigator covers the breadth needed
SPACE POWER SYSTEMS
Track 2 Session 4 Moderator: James Soeder
This session explored power technologies being developed to enable more advanced deep space missions including; unique power systems, autonomous and intelligent control and real time simulation
Ms Anne McNellis: Paper 1: NASA Intelligent Power Control,
Dr Benjamin Loop: Paper 2: Real Time Simulation for NASA Intelligent Power Control Development,
Dr Brad Glenn: Paper 3: Helm Algorithm Development for NASA Intelligent Power Control,
Tues.1040 am states role in protecting electric grids from emp and gmd with a...EnergyTech2015
EnergyTech2015.com Track 4 Session 2 SHAPING POLICY ON CRITICAL INFRASTRUCTURE PROTECTION AND RECOVERY Moderator: Mike DeLamare Panelists will briefly present current policy efforts, or the effects of policy on providers. This will be followed by Q&A from the audience. Panelists: Andrea Boland: Discuss current and pending Legislation for the State of Maine as compared to other States: /Maine John Ostrich: Speaking on the Space Weather Policy and Action Plan Patrick Shaw: Addressing the business continuity and the emergency management consequences of long-term power outages Kevin Goodman: Policy effects on Power and Data Centers Chuck Manto: Policy as a catalyst for technical innovations
David Sadey, Operation and Control of a Three-Phase Megawatt Class Variable F...EnergyTech2015
EnergyTech2015.com
TERRESTRIAL POWER TECHNOLOGY II
Track 2 Session 2
Moderator: Don Brown, NASA
This session will continue the previous session’s exploration of technologies to improve terrestrial power systems including; power systems for building and industrial power, advanced generation, energy storage and smart grid developments.
David J. Sadey: Paper 1: Operation and Control of a Three-Phase Megawatt-Class Variable Frequency Power Generation and Distribution System
William Good: Paper 2: Modular Nuclear Power
Josh Sparber: Paper 3: Effective Measures for Protection of US Power Grid
Neil Tyrrell : Paper 4: Fast and flexible combined cycle gas turbines
George Baker: Nuclear EMP and Solar GMD Effects, National Protection Impasse,...EnergyTech2015
This document discusses the threats of nuclear electromagnetic pulse (EMP), solar geomagnetic disturbances (GMD), and radiofrequency weapons to critical infrastructure systems. It summarizes the key findings and recommendations of the Congressional EMP Commission to improve protection against these threats. However, progress has been impeded by misconceptions about the threats, reluctance of stakeholders to address vulnerabilities, and the lack of a clear authority to coordinate protection efforts across government and industry. Recent developments have been limited and do not adequately address the commission's recommendations to prioritize protection of critical systems.
Irv Badr: Managing Risk Safety and Security Compliance EnergyTech2015
EnergyTech2015.com
Track 4 Session 3
RESILIENT APPLICATIONS
Moderator: Mike Delamare
Josh Long: Paper 1 - Minimum Cyber Security Requirements for a 20 MW Photo Voltaic Field
Brian Patterson: Paper 2 - The role of Direct Current micro-grids and data centers for efficiency and resilience
Irv Badr: Paper 3 - Managing Risk Factors in Critical Infrastructure
The document discusses SDLC (Systems Development Life Cycle) and e-business. It begins by defining key terms like system, information system, and problem identification. It then explains various phases of SDLC like planning, analysis, design, implementation, testing and maintenance. It also discusses different SDLC models like waterfall, iterative and agile. The document also covers topics like requirements analysis, feasibility study, design and testing. Finally, it provides definitions of business, commerce and e-business and discusses how ICT technologies help in integrating business processes and enabling e-business.
The document discusses the system development life cycle (SDLC), which includes preliminary investigation, requirements analysis, system design, software development, system testing, and implementation and maintenance. It describes the purpose and history of SDLC as emerging in the 1960s to address the "software crisis". It also outlines the main steps and activities in each phase of the SDLC process.
The document discusses the system development life cycle (SDLC), which involves 6 main steps: 1) preliminary investigation, 2) requirements analysis, 3) system design, 4) system acquisition and development, 5) system testing, and 6) implementation and maintenance. It describes each step in detail, including gathering user requirements, designing and selecting a software model, testing the system, training users, and evaluating the results. The SDLC aims to efficiently develop high-quality software through a structured process of analysis, design, implementation, and maintenance activities.
The document discusses the system development life cycle (SDLC), which includes requirements, design, implementation, testing, deployment, operations, and maintenance. It describes the typical phases of the SDLC process - preliminary investigation, feasibility study, system analysis, system design, software development, system testing, implementation and evaluation, and maintenance. The waterfall model is presented as a common SDLC approach, with its sequential phases of requirement analysis, system design, implementation, testing, deployment, and maintenance.
The document discusses the software development life cycle (SDLC) and system development methodologies. It describes the main phases of the SDLC as planning, analysis, design, development, testing, deployment, and maintenance. It also discusses different SDLC models like waterfall and iterative waterfall. The iterative waterfall model allows revisiting phases to address issues identified later. Finally, it defines a systems development methodology as a formal process for developing software and describes object-oriented analysis and design as an example methodology.
management system development and planningmilkesa13
The document discusses systems development and the systems development lifecycle (SDLC). It describes the SDLC as having sequential phases including systems investigation, analysis, design, programming, testing, implementation, operation, and maintenance. The goal of the SDLC is to ensure high quality systems are delivered on time and budget by providing strong project management controls. Key activities in the SDLC include requirements gathering, logical and physical design, prototyping, various testing approaches, and implementation strategies like parallel and phased conversions.
01-Introduction to System Engineering & System Engineering Life cycle.pptxssuseraaa4d6
The document discusses system engineering and provides information over multiple sections:
1. It defines system engineering as the framework that combines diverse engineering specialists to develop complex projects. System engineering considers a project as a system that has a lifecycle.
2. The complexity of internal and external interactions is taken into account for systems like cars, printers, or robots used in surgery. System engineering is usually implemented when market demand grows and production cycles become shorter.
3. A system is defined as a combination of interacting elements organized to achieve one or more stated purposes according to the International Organization for Standardization.
The document discusses the role of systems analysts and what they do. It begins by explaining that information systems have become essential for businesses to compete. Systems analysts play a special role in developing these systems by facilitating the analysis, design, and implementation of technology solutions to business problems.
The document then defines systems analysts as professionals who understand both business and technology. They study business problems and needs to determine how information systems and applications can solve issues and improve the business. Systems analysts are responsible for capturing and flowing business data to and from computer systems.
Finally, the document outlines the typical tasks and responsibilities of systems analysts. They follow a systematic approach called the systems development life cycle which includes planning, analysis, design, implementation, and
The document discusses the software development life cycle (SDLC) which includes 8 phases: system conception, requirement gathering, system design, class design, implementation, testing, deployment, and maintenance. It states that requirement gathering focuses on what must be done without how, and involves domain and application analysis. Domain analysis emphasizes real-world objects to understand the problem domain. The implementation phase is the longest as it involves coding the requirements.
1. Discuss the structured system analysis and design methodologies
2. What is DSS? Discuss the components and capabilities of DSS.
3. Narrate the stages of SDLC
4. Define OOP. What are the applications of it?
The document discusses object-oriented system development life cycles and methodologies. It describes Rumbaugh's Object Modeling Technique (OMT), which uses object models, dynamic models, and functional models to analyze, design, and implement systems. It also covers Booch methodology, which focuses on analysis and design using class, object, state, module, process, and interaction diagrams. Additionally, it mentions Jacobson's use case methodology for user-driven analysis.
This document discusses systems analysis and design. It begins with an overview of information systems analysis and design, the systems development life cycle (SDLC), and agile methodologies like eXtreme Programming and Scrum. It then covers the SDLC phases of planning, analysis, design, implementation, and maintenance. Finally, it discusses how agile methodologies focus on adaptive processes, people over roles, and self-adaptive processes.
This document discusses various process models for software engineering:
- The waterfall model defines sequential phases of requirements, design, implementation, testing, and maintenance. It is inflexible to change.
- Iterative models allow repetition of phases to incrementally develop software. The incremental model delivers functionality in increments.
- Evolutionary models like prototyping and spiral development use iterative evaluation and refinement of prototypes to evolve requirements and manage risk.
- Other models include component-based development, formal methods, aspect-oriented development, and the Unified Process with iterative development of use cases. Personal and team software processes focus on self-directed teams, planning, metrics, and process improvement.
This document discusses two approaches to developing management information systems (MIS): the system development life cycle and prototyping. The system development life cycle includes planning, analysis, design, implementation, and support phases. Prototyping involves creating an initial prototype, getting user feedback, and revising the prototype. There are different types of prototyping such as throwaway, evolutionary, and incremental. The document also covers advantages and disadvantages of each approach.
Software Developement Life Cycle ppt.pptxAbcXyz141938
The document discusses the software development life cycle (SDLC), outlining its main phases and models. The SDLC is a framework that defines tasks performed at each stage of software development, from requirements gathering to maintenance. It aims to produce high-quality software that meets requirements. The document outlines several SDLC models - waterfall, incremental, evolutionary, spiral, RAD, and extreme programming - comparing their advantages and disadvantages. It concludes that the SDLC is a process of developing software through analysis, planning, design, implementation, integration, maintenance and testing.
SDLC and Software Process Models Introduction pptSushDeshmukh
This document discusses the software development life cycle (SDLC) and different software process models. It describes the SDLC as a sequence of steps from planning to maintenance that helps create high quality software on time. The main phases of the SDLC are planning, requirements analysis, design, implementation, testing, and deployment/maintenance. It then explains the purpose of the SDLC and different software process models, including linear sequential, prototyping, and evolutionary models. For each model it provides an overview of the typical process and when each model is best applied.
The document discusses the system development life cycle (SDLC), which includes various phases for developing and maintaining systems. The key phases are: system investigation, feasibility study, system analysis, system design, coding, testing, implementation, and maintenance. The feasibility study phase evaluates the technical, operational, economic, motivational, and schedule feasibility of a proposed system. The system analysis phase involves studying user requirements and the current system. System design then specifies how the new system will meet requirements through elements like data design, user interface design, and process design. This produces specifications for the system.
This document discusses object-oriented system design and modeling. It introduces key concepts like object-oriented principles, the software development lifecycle, and UML modeling. It explains that object-oriented concepts are widely used in software solution design across domains. Skilled professionals with a strong foundation in object-oriented design are needed to fulfill increasing requirements. The document then covers stages of software development like analysis, design, and implementation. It also discusses phases of object-oriented development like analysis, design, and self-contained objects and classes.
Similar to Mark Walker: Model Based Systems Engineering Initial Stages for Power & Energy (20)
Tues PM banquet keynote featuring Virginia A GreimanEnergyTech2015
Virginia Greiman is professor of megaprojects and planning and international development and project finance at Boston University and holds academic appointments at Harvard University Law School and Harvard Kennedy School of Government. She is a recognized scholar on infrastructure and innovation megaprojects, project finance and governance, international law and development, cyber law and cyber security.
Brian Patterson: Reinventing Building PowerEnergyTech2015
This document discusses reinventing building power through the use of hybrid AC/DC microgrids and the creation of interconnecting microgrids called the "Enernet". It describes how distributed energy resources like solar can be harvested and connected in a massively distributed mesh network of microgrids at the building, campus and community level. Standards are being developed to allow digital on-off grid operation and the key benefits of this approach include increasing the use of renewable energy and improving reliability, security and resilience of power systems.
Matthew Hause: The Smart Grid and MBSE Driven IoT EnergyTech2015
EnergyTech2015.com
Track 3 Session 3
Moderator: Mark Walker
The integration of the Internet of Things (IoT) and MBSE in an Energy System and Complex energy grid management in a changing and dynamic future.
Matthew Hause – Paper 1: Making the Smart Grid Smarter, MBSE Driven IoT The future of IoT success, including technology advancements and revenue generating potential across the business spectrum, is dependent on the application of solid Systems Engineering and Model Based Systems Engineering (MBSE) principals. Without MBSE, the complexity involved in the design, development, and deployment of IoT systems would consume both system and operational providers. Absent of any industry standards, IoT systems cannot be built in a vacuum and their success will only be realized through application of modern day systems engineering processes, methods, and tools. The infrastructure and management will need to be established prior to, or in conjunction with, the smart systems that support them. This paper will show an Energy system and connected systems and how an MBSE and SoS approach will help guide development.
David Long Keynote on Beyond MBSE Looking Towards the Next Evolution in Syste...EnergyTech2015
This document discusses the evolution of systems engineering and the potential next steps beyond model-based systems engineering (MBSE). It begins by defining systems engineering and describing its focus on interdisciplinary processes to satisfy customer needs. It then outlines some key characteristics of modern systems and discusses how systems engineering has expanded from aerospace/defense to other domains. The document notes challenges in applying systems engineering to today's interconnected world and proposes plotting a journey beyond MBSE with steps like leveraging collective insights, aligning with reference architectures, and incorporating feedback/learning. It envisions connecting supporting theories and recognizing the future of systems engineering. The document concludes by joining engineering colleagues to enable model-based engineering and discussing how systems engineering may adapt to 21st century needs
Flora Flygt: Clean Power Plan Impact on Transmisssion Planning, Development a...EnergyTech2015
EnergyTech2015.com
Track 1 Session 2
THE U.S. ENVIRONMENTAL PROTECTION AGENCY CLEAN POWER PLAN: HOW WILL IT AFFECT THE ELECTRIC UTILITY INDUSTRY NOW AND IN THE FUTURE?
On June 2, 2014, the U.S. EPA, proposed a plan with the stated purpose of reducing carbon emissions from electric generating units, under Section 111(d) of the Clean Air Act. The CPP sets a CO2 emission target for each state, and utilizes four “building blocks” in devising those rates. The CPP suggests power to be dispatched based upon environmental considerations. Today, regional electric markets dispatch power based upon economic considerations and not environmental considerations. More than four million entities submitted comments on the proposed CPP and on August 3, 2015, the U.S. EPA issued their final plan. What is the overall affect on states, utilities, and ratepayers? What is the timeline for implementation of the CPP? What does the plan mean for the future electric generation mix? How will reliability and prices be impacted? What kinds of technology and regulatory policy changes will be needed?
Moderator: Maria Ilic, CMU Professor
Asim Haque, PUCO Commissioner
Flora Flygt, Strategy Planning & Policy Advisor, American Transmission Company
Neil Kirby: VSC HVDC Transmission and Emerging Technologies in DC GridsEnergyTech2015
The document discusses emerging HVDC transmission and grid technologies presented by Neil Kirby at EnergyTech2015. It summarizes HVDC converter types, control methods for HVDC grids using slack bus and droop control, protection challenges for DC grids, and future converter technologies like modular multi-level converters that enable DC circuit breakers. It presents diagrams and examples of various converter configurations including full bridge and alternate arm designs that could help realize more versatile and controllable DC grids.
Anne McNelis: Intelligent Power Controller Development for Human Deep Space ...EnergyTech2015
EnergyTech2015.com
SPACE POWER SYSTEMS
Track 2 Session 4 Moderator: James Soeder
This session explored power technologies being developed to enable more advanced deep space missions including; unique power systems, autonomous and intelligent control and real time simulation
Ms Anne McNellis: Paper 1: NASA Intelligent Power Control,
Dr Benjamin Loop: Paper 2: Real Time Simulation for NASA Intelligent Power Control Development
Dr Brad Glenn: Paper 3: Helm Algorithm Development for NASA Intelligent Power Control
EnergyTech2015.com
Track 2 Session 3
HYBRID ELECTRIC POWER FOR AERONAUTIC PROPULSION PANEL
Moderator: Michael Heil, Ohio Aerospace Institute
This panel will explore benefits and technology challenges associated with distributed, hybrid electric propulsion for future subsonic aeronautic vehicles. Panel members will include aeronautics propulsion industry, NASA, and the DoD.
James Felder, NASA Glenn Research Center
John Nairus, Air Force Research Lab, Chief Engineer Power & Controls Division
Neil Garrigan, GE Aviation
Meyer Benzakein, OSU - Aeronautic
Neil Garrigan: Electric Drive Technology Considerations for Aircraft Propulsion EnergyTech2015
EnergyTech2015.com
Track 2, Session 3 HYBRID ELECTRIC POWER FOR AERONAUTIC PROPULSION PANEL Monday, November 30
Moderator: Michael Heil, Ohio Aerospace Institute
This panel explored benefits and technology challenges associated with distributed, hybrid electric propulsion for future subsonic aeronautic vehicles. Panel members included aeronautics propulsion industry, NASA, and the DoD.
James Felder, NASA Glenn Research Center
John Nairus, Air Force Research Lab, Chief Engineer Power & Controls Division
Neil Garrigan, GE Aviation
Meyer Benzakein, OSU - Aeronautic
Track Two: New Technologies for Solving the Energy Puzzle Where are the breakthroughs? How will new and emerging technologies provide solutions for society energy needs? How can these be effectively integrated with existing legacy systems?
The EnergyTech conference series began in 2010 through productive dialog and interaction between technology and systems engineers / professionals within INCOSE, IEEE, and NASA GRC. The 2015 conference addresses the changing dynamics and emerging technologies in Energy, and also deals with some of the most significant, consequential risks and issues in our critical infrastructure, posing major threats to civilized existence.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
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%.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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.
10. Paper Focus is on SysML UC and Sequence Diagrams
for First Stage Products/Info
10
SysML
Diagram
Para
metrics
New
Behavioral Structural
Activity
State
Machine
Block
Definition
Internal
Block
Seq
uence
Package
Spec-
Oriented
Un-
changed
Modified
Use
Case
Reqts
Key
act sd stm uc req par bdd ibd pkg
Can also use BPMN diagrams
Other SysML diagrams included
in Integrated Architecture
Package
15. Enabling Systems/Subsystems Capabilities
• System Engineers Must include these Capabilities
• Typically not included/identified by customers/users
• Somewhat invisible to the users
• Enabling Systems/Subsystems
• Security
• Safety
• Diagnostic for degradation, failures and maintenance
• Recovery (Rapid and long term)
• Information and Data Management (databases)
• Training
• Maintenance and Life Cycle Support
• Upgrades/fixes h/w and s/w
• Help Desks
• Redundancy (for failures and maintenance)
• Etc.