Using Capella on a Brazilian Nanosat Project
•
0 likes•141 views
Discover how MBSE is used on the Brazilian CubeSat development program. With two nano satellites already in operation (NANOSATC-BR1 and NANOSATC-BR2), the Brazilian National Institute for Space Research (INPE-MCTI) is currently in the conceptual phase of a third mission (NANOSATC-BR3). Giulia Herdies from the Federal University of Santa Maria in Brazil, will present how the Capella tool and the Arcadia method are used in the second phase of the project, to develop the concept of this mission. During this webinar, she explains: -Why the use of MBSE is vital for development of the conceptual phase, by allowing a global understanding of the mission by all involved. -How stakeholders' needs and project restrictions were broken down within the operational, functional and physical aspects, which resulted in a preliminary definition of a viable concept solution.
Report
Share
Report
Share
Download to read offline
Recommended
Capella Days 2021 | Introduction to CAPELLA/ARCADIA and NASA Systems Engineer...
The NASA System Engineering (SE) handbook aims to provide general guidance and information on systems engineering, as it should be applied throughout NASA. The handbook introduces 3 common technical processes. One of these, is the System Design Process, describing the stakeholders expectations, requirements definition, logical decomposition and design solution definition. The 4 activities can be supported by a Model-Based Systems Engineering (MBSE) approach. To do so, an appropriate method and tool is necessary as the one provided by the ARChitecture Analysis & Design Integrated Approach.
ARCADIA, with its modeler CAPELLA, is a MBSE solution supporting system modeling activities. Based on 4 architectural layers, which are Operational Analysis, System Analysis, Logical and Physical Architecture, it is a structured architecture engineering method for defining and validating multi-domain systems.
This talk will present an educational overview of the ARCADIA methodology and System Design Process from the NASA SE, by introducing MBSE artefacts for space system.
The HUBBLE Space Telescope (HST) is a Cassegrain reflector telescope. Orbiting above the earth, HST elaborates a clear view of the universe free from the blurring and absorbing effects of the atmosphere. In order to illustrate the journey throughout CAPELLA, the HST will be introduced, as example, based on public information available.
Capella Days 2021 | Enhancing CubeSat design through ARCADIA and Capella: a c...
The new space economy asks for an overall improvement of systems engineering practices due to aggressive development time and complex systems design, implementation and operation by a number of players who grow with mission complexity. The talk proposes a critical analysis of a Model-Based Systems Engineering approach using ARCADIA and the Capella tool, applied to real CubeSat mission, with the aim of showing potentials and lacks.
Firstly, the way requirements are managed and traced using the Requirements Viewpoint is presented, highlighting the necessity of having a dedicated diagram for the trees generation; a solution to that is proposed in order to easily trace backwards requirements whenever needed. Following the ARCADIA method, the approach begins with the high-level objectives definition through the Operational Analysis, moving to a first internal functional analysis exploiting the second level of Capella, the System Analysis. The Logical Architecture is then developed introducing the concept of subsystem, leading to big decisions which will drive the successive Physical Architecture. The latter opens the road to all CubeSat components modeling using the concept of Node Physical Component, together with physical interfaces definition. Great use of all Capella concepts is done, such as Functional Chains, Control Functions, Replicas, Basic Mass and Price Viewpoints etc.
As the approach has been applied to a real space project, Phases and Modes have also been modeled exploiting respectively Scenario Diagrams, also used to define mission Concept of Operations, and State Machine Diagrams. Some thoughts oriented toward an improvement of the Modes management will be discussed. Lastly, ARCADIA and Capella do not provide a proper way of dealing with Assembly, Integration, Verification and Testing activities within the same architectural model, therefore an innovative approach is proposed and discussed to include such aspects in the model.
CapellaDays2022 | Politecnico di Milano | Interplanetary Space Mission as a r...
Systems engineering is an iterative approach traditionally applied one-way, from the definition of the user needs to the implementation of a solution that satisfies certain requirements and is constrained by cost and schedule. This presentation instead aims at exploring the educational benefits of applying the opposite practice, thus retrieving system and subsystem level requirements based on a solution already implemented and taking advantage of the MBSE possibilities to realize a model of the system according to the ARCADIA method and systems engineering approach, using the Capella MBSE Tool. This reverse-engineering process has been applied to a renowned Space mission, the ESA Mars Express satellite, whose goal is to investigate all aspects of the martian environment, including the subsurface, surface and atmosphere of the planet, in order to search for evidence of extinct or extant life. The uppermost goal of this project is to demonstrate the benefits for university students at a Master's level keen on systems engineering in implementing the Capella tool to retrieve the system architecture and the operational processes in a "reversed" strategy. In this work, students have been compelled to apply systems engineering processes to justify the design choices and exploit the already well-known missions and capabilities to build the architecture and functional chains as a starting point for the reverse engineering of the identified subsystems. The results prove it is possible, and also recommendable time-wise, to teach Space engineering and Systems engineering students by using this inverse approach, rather than the canonic one in which students have to design a whole mission from scratch.
Modeling & Simulation of CubeSat-based Missions'Concept of Operations
Discover how Arcadia/Capella is used to model and simulate concept of operations scenarios for CubeSat-based missions. During this webinar, Danilo Pallamin de Almeida, who worked as a Space Systems Engineer for the NanosatC-BR2 mission at INPE, the Brazilian Institute for Space Research, will present how CubeSat-based missions have been modeled with Capella.
The model describing an initial architecture mission and concept of operations (CONOPS) is used to generate a script that configures a satellite simulator with the corresponding mission parameters.
You will see how it allows the INPE to:
- run concept of operations scenarios simulations,
- use the results for power/data-budget analyses and trade studies
MBSE with Arcadia method step-by-step Physical Architecture.pdf
The objective of the Physical Architecture in defining the “real” concrete components that comprise the system. To start the Physical level based on the Logical level, Capella proposes transitions similar to those that we used when we went from the Operational Analysis to the System Analysis, then from the System Analysis to the Logical Architecture. Thus, it can be created as many Physical Functions as Logical Functions, by also keeping the Functional Exchanges and Functional Chains.
[ Capella Day 2019 ] Augmenting requirements with models to improve the artic...
Model-based systems engineering has developed significantly over the last few years, resulting in an increased usage of models in systems specification and architecture description. The question of the positioning of requirement engineering versus MBSE is a recurrent one.
This talk describes one vision of this articulation where textual and model requirements actually complete each other. The results are improved contracts across engineering levels and more formalized V&V practices.
Stéphane Bonnet, Thales Corporate Engineering
Stéphane Bonnet is in charge of Thales Corporate MBSE Coaching and Design Authority of the Capella open source modeling solution. For the last ten years, he has led the development of Capella and has been an active contributor to the Arcadia model-based method for systems, hardware and software architectural design. In Thales, he is animating a wide community of modeling experts from all domains and countries to investigate low-maturity modeling topics, capture end-user needs, and orient method and workbench roadmaps.
Scripting with Python to interact with Capella model
Scripting with Python to interact with Capella model
Have you ever wanted to easily extract engineering data from your Capella model? Have you ever wanted to easily modify your Capella model and import information into it to update it?
This webinar presents a prototype Capella Add-on that will address several example use cases
- Read information from a Capella model and export to Excel, with queries
- Update information in a Capella model
- Add elements in a Capella model
This new Capella add-on uses a common scripting language, not dedicated to Capella: Python.
- It offers the capacity to use sample scripts addressing basic need and to build its own scripts, with libraries for common add-ons (Requirement, PVMT)
- It’s easy to share, to use, has high customization capabilities
support of Capella and Team for Capella, wide compatibility with Capella versions
It is presented by :
- Sophie Plazanet (Thales Group) - MBSE Specialist
Master of Engineering & Master of Research in Advanced Systems & Robotics – Arts & Métiers ParisTech
- Arnaud Dieumegard (Obeo) - Eclipse Modeling Consultant
Ph.D. in Reliability for Systems and Software - INP Toulouse
To illustrate the examples, you'll find the videos on this playlist: https://bit.ly/capella_webinar_211216_playlist
CapellaDays2022 | Saratech | Interface Control Document Generation and Linkag...
Generation of Interface Control Documents (ICDs) using a model-based method has a number of advantages over text-based approaches. This paper describes the Python-based software that was written to automatically generate different versions of an ICD from a structure model in Capella. One use case for this approach is checking parts changes captured in the Engineering Bill of Materials (EBOM) using a PLM tool. We demonstrate an automated workflow that links changes in the EBOM to a request to vet the change against the ICD. This presentation will discuss our rationale, approach, results, and lessons learned.
Recommended
Capella Days 2021 | Introduction to CAPELLA/ARCADIA and NASA Systems Engineer...
The NASA System Engineering (SE) handbook aims to provide general guidance and information on systems engineering, as it should be applied throughout NASA. The handbook introduces 3 common technical processes. One of these, is the System Design Process, describing the stakeholders expectations, requirements definition, logical decomposition and design solution definition. The 4 activities can be supported by a Model-Based Systems Engineering (MBSE) approach. To do so, an appropriate method and tool is necessary as the one provided by the ARChitecture Analysis & Design Integrated Approach.
ARCADIA, with its modeler CAPELLA, is a MBSE solution supporting system modeling activities. Based on 4 architectural layers, which are Operational Analysis, System Analysis, Logical and Physical Architecture, it is a structured architecture engineering method for defining and validating multi-domain systems.
This talk will present an educational overview of the ARCADIA methodology and System Design Process from the NASA SE, by introducing MBSE artefacts for space system.
The HUBBLE Space Telescope (HST) is a Cassegrain reflector telescope. Orbiting above the earth, HST elaborates a clear view of the universe free from the blurring and absorbing effects of the atmosphere. In order to illustrate the journey throughout CAPELLA, the HST will be introduced, as example, based on public information available.
Capella Days 2021 | Enhancing CubeSat design through ARCADIA and Capella: a c...
The new space economy asks for an overall improvement of systems engineering practices due to aggressive development time and complex systems design, implementation and operation by a number of players who grow with mission complexity. The talk proposes a critical analysis of a Model-Based Systems Engineering approach using ARCADIA and the Capella tool, applied to real CubeSat mission, with the aim of showing potentials and lacks.
Firstly, the way requirements are managed and traced using the Requirements Viewpoint is presented, highlighting the necessity of having a dedicated diagram for the trees generation; a solution to that is proposed in order to easily trace backwards requirements whenever needed. Following the ARCADIA method, the approach begins with the high-level objectives definition through the Operational Analysis, moving to a first internal functional analysis exploiting the second level of Capella, the System Analysis. The Logical Architecture is then developed introducing the concept of subsystem, leading to big decisions which will drive the successive Physical Architecture. The latter opens the road to all CubeSat components modeling using the concept of Node Physical Component, together with physical interfaces definition. Great use of all Capella concepts is done, such as Functional Chains, Control Functions, Replicas, Basic Mass and Price Viewpoints etc.
As the approach has been applied to a real space project, Phases and Modes have also been modeled exploiting respectively Scenario Diagrams, also used to define mission Concept of Operations, and State Machine Diagrams. Some thoughts oriented toward an improvement of the Modes management will be discussed. Lastly, ARCADIA and Capella do not provide a proper way of dealing with Assembly, Integration, Verification and Testing activities within the same architectural model, therefore an innovative approach is proposed and discussed to include such aspects in the model.
CapellaDays2022 | Politecnico di Milano | Interplanetary Space Mission as a r...
Systems engineering is an iterative approach traditionally applied one-way, from the definition of the user needs to the implementation of a solution that satisfies certain requirements and is constrained by cost and schedule. This presentation instead aims at exploring the educational benefits of applying the opposite practice, thus retrieving system and subsystem level requirements based on a solution already implemented and taking advantage of the MBSE possibilities to realize a model of the system according to the ARCADIA method and systems engineering approach, using the Capella MBSE Tool. This reverse-engineering process has been applied to a renowned Space mission, the ESA Mars Express satellite, whose goal is to investigate all aspects of the martian environment, including the subsurface, surface and atmosphere of the planet, in order to search for evidence of extinct or extant life. The uppermost goal of this project is to demonstrate the benefits for university students at a Master's level keen on systems engineering in implementing the Capella tool to retrieve the system architecture and the operational processes in a "reversed" strategy. In this work, students have been compelled to apply systems engineering processes to justify the design choices and exploit the already well-known missions and capabilities to build the architecture and functional chains as a starting point for the reverse engineering of the identified subsystems. The results prove it is possible, and also recommendable time-wise, to teach Space engineering and Systems engineering students by using this inverse approach, rather than the canonic one in which students have to design a whole mission from scratch.
Modeling & Simulation of CubeSat-based Missions'Concept of Operations
Discover how Arcadia/Capella is used to model and simulate concept of operations scenarios for CubeSat-based missions. During this webinar, Danilo Pallamin de Almeida, who worked as a Space Systems Engineer for the NanosatC-BR2 mission at INPE, the Brazilian Institute for Space Research, will present how CubeSat-based missions have been modeled with Capella.
The model describing an initial architecture mission and concept of operations (CONOPS) is used to generate a script that configures a satellite simulator with the corresponding mission parameters.
You will see how it allows the INPE to:
- run concept of operations scenarios simulations,
- use the results for power/data-budget analyses and trade studies
MBSE with Arcadia method step-by-step Physical Architecture.pdf
The objective of the Physical Architecture in defining the “real” concrete components that comprise the system. To start the Physical level based on the Logical level, Capella proposes transitions similar to those that we used when we went from the Operational Analysis to the System Analysis, then from the System Analysis to the Logical Architecture. Thus, it can be created as many Physical Functions as Logical Functions, by also keeping the Functional Exchanges and Functional Chains.
[ Capella Day 2019 ] Augmenting requirements with models to improve the artic...
Model-based systems engineering has developed significantly over the last few years, resulting in an increased usage of models in systems specification and architecture description. The question of the positioning of requirement engineering versus MBSE is a recurrent one.
This talk describes one vision of this articulation where textual and model requirements actually complete each other. The results are improved contracts across engineering levels and more formalized V&V practices.
Stéphane Bonnet, Thales Corporate Engineering
Stéphane Bonnet is in charge of Thales Corporate MBSE Coaching and Design Authority of the Capella open source modeling solution. For the last ten years, he has led the development of Capella and has been an active contributor to the Arcadia model-based method for systems, hardware and software architectural design. In Thales, he is animating a wide community of modeling experts from all domains and countries to investigate low-maturity modeling topics, capture end-user needs, and orient method and workbench roadmaps.
Scripting with Python to interact with Capella model
Scripting with Python to interact with Capella model
Have you ever wanted to easily extract engineering data from your Capella model? Have you ever wanted to easily modify your Capella model and import information into it to update it?
This webinar presents a prototype Capella Add-on that will address several example use cases
- Read information from a Capella model and export to Excel, with queries
- Update information in a Capella model
- Add elements in a Capella model
This new Capella add-on uses a common scripting language, not dedicated to Capella: Python.
- It offers the capacity to use sample scripts addressing basic need and to build its own scripts, with libraries for common add-ons (Requirement, PVMT)
- It’s easy to share, to use, has high customization capabilities
support of Capella and Team for Capella, wide compatibility with Capella versions
It is presented by :
- Sophie Plazanet (Thales Group) - MBSE Specialist
Master of Engineering & Master of Research in Advanced Systems & Robotics – Arts & Métiers ParisTech
- Arnaud Dieumegard (Obeo) - Eclipse Modeling Consultant
Ph.D. in Reliability for Systems and Software - INP Toulouse
To illustrate the examples, you'll find the videos on this playlist: https://bit.ly/capella_webinar_211216_playlist
CapellaDays2022 | Saratech | Interface Control Document Generation and Linkag...
Generation of Interface Control Documents (ICDs) using a model-based method has a number of advantages over text-based approaches. This paper describes the Python-based software that was written to automatically generate different versions of an ICD from a structure model in Capella. One use case for this approach is checking parts changes captured in the Engineering Bill of Materials (EBOM) using a PLM tool. We demonstrate an automated workflow that links changes in the EBOM to a request to vet the change against the ICD. This presentation will discuss our rationale, approach, results, and lessons learned.
CapellaDays2022 | Thales | Stairway to heaven: Climbing the very first steps
1) The document discusses strategies for starting to implement model-based systems engineering (MBSE) and using the Capella modeling tool at Thales Avionics. It recommends strengthening fundamentals like vocabulary, demystifying MBSE and Capella, and promoting quick wins.
2) Examples of quick wins include using Capella to generate documentation from models and creating Python scripts to automatically extract content from models into tables.
3) The document emphasizes that every small step counts towards improving engineering practices through pragmatic adoption of MBSE and continuous improvement.
CapellaDays2022 | NavalGroup | Closing the gap between traditional engineerin...
Closing the gap between traditional engineering and digital-native model-based driven engineering requires helping engineers to embrace new techniques. Naval Group decided to tackle the following issues: lack of interoperability with other systems, lack of bridge between functional definitions in PID schemas and MBSE physical layers, lack of documenting cross-layers relationships for a specific object's type.
Strategies and Tools for Model Reuse with Capella
This document discusses strategies and tools for model reuse in Capella, a modeling tool. It covers reusable elements (RECs and RPLs) that allow synchronized copies of model parts. Examples of creating RECs and RPLs are shown. The document also discusses using libraries to leverage and reuse model artifacts between projects. Yuzu is demonstrated as a tool for managing Capella libraries by finding required library versions, checking for updates, and publishing information. Future improvements are noted such as drag and drop of model elements.
Introduction to Capella and Arcadia with a Simple System
Discover both Capella and Arcadia with an example of product design
Learn how to build a toy catapult system thanks to the Arcadia method and the Capella open MBSE tool.
In this Webinar, We:
- Distinguish between systems engineering, which is concerned with the entire design-build-test-deploy cycle of systems development, and systems architecture, which is concerned
with system concept development and architectural design.
- Contrast the System Modeling Language, SysML,
appropriate for systems engineering, with the more focused tool, Capella, and its associated methodology, Arcadia,
which is more appropriate for systems architecture development.
- Provide an overview of the attractive features of Capella,
from the point of view of initiating modelers into the language of systems architecture and briefly demonstrate our longer free public tutorial.
This webinar was driven by Professor Peter L. Jackson
Pr. Jackson is Head, Engineering Systems and Design Pillar at Singapore University of Technology and Design. He served as the Director of the Cornell University Systems Engineering Program and led the introduction of its online Master of Engineering degree program in systems engineering ranked in the top eight such programs by US News and World Report. He published over thirty articles and is the author of an introductory text on systems engineering, 'Getting Design Right: A Systems Approach'. He is a celebrated instructor of industrial engineering and the creator of dozens of experiential learning games and tools.
Digitally assisted design for safety analysis
This document introduces ATICA4Capella, a model-based safety analysis framework and toolset for the aerospace industry. It uses the Capella modeling environment for systems engineering. The toolset allows defining functional requirements, performing a functional hazard analysis, and generating safety documentation. It also supports semi-automated fault tree analysis and is aligned with aerospace safety standards like ARP4761. A case study of applying the tools to an eVTOL vehicle design is presented. The document outlines ongoing work to further integrate requirements management and automated analysis capabilities.
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
The document provides an overview of the UK Atomic Energy Authority's (UKAEA) efforts to develop a conceptual design for a spherical tokamak fusion power plant called STEP using model-based systems engineering (MBSE) and the Capella modeling tool. It summarizes the MBSE methodology being used, provides an overview of the current Capella model, discusses modeling challenges and next steps which include further developing the physical architecture and linking the model to simulations. The overall goal is to deliver a prototype fusion power plant by 2040 to provide unlimited clean energy.
CapellaDays2022 | SIEMENS | Expand MBSE into Model-based Production Engineeri...
Mind Game: You want to build a LEGO Mindstorms Factory for Toy Cars and you are Head of Factory Planning. You identify that your manufacturing planning team and your product design team don’t collaborate with each other, because they work in silos and speak different languages. Their progress is too slow and the results are not synchronized.
Imagine: You succeed in merging your experts into one interdisciplinary team where everyone is collaboratively working together – already in the early stages of the engineering cycle. And imagine they start to speak the same language. Doubtless, you would speed up your engineering process. Furthermore, you would also reach a synchronized global solution for your manufacturing system and to be produced toy cars, building bridges inside your organization.
But how? This has been introduced by Dr.-Ing. C. Sinnwell in February 2020 in her PhD-thesis. There, she published the latest version of a methodology referred to as “MBPE – Model-Based Production Engineering”. The MBPE-methodology is a new approach for the conceptual design of manufacturing systems based on early product information supported by MBSE using UML.
The presentation will spotlight the MBPE-methodology, explaining how to use MBSE in the context of interdisciplinary factory and manufacturing planning. Also, it will be shown, how the methodology could be adapted to be realized with Eclipse Capella instead of any UML-modeling tool, illustrated by an example on how to conceptualize and model a LEGO Mindstorms production line for Toy Cars.
Capella Days 2021 | An example of model-centric engineering environment with ...
Today a number of EU railway operators are on a journey to define what the future of railway operations should look like. In Germany, DB AG works within the sector initiative Digitale Schiene Deutschland. Next to the implementation of ETCS/DSTW technology in the first stage, the initiatives aims in the second stage to improve the performance, quality and efficiency of the railway system by higher degrees of automation in traffic management, train driving and infrastructure operation. This requires implementation of new technologies like artificial intelligence, localization and perception sensors, cloud computing and 5G connectivity.
MBSE with Arcadia method step-by-step System Analysis.pdf
The Operational Analysis described is the previous article, MBSE with Arcadia method step-by-step: Operational Analysis [1], involves defining and creating a domain model, independently of the future system to be realized. The principle is to create a level of abstraction from the system under study in order to focus on the needs of the different stakeholders.
The System Analysis level, on the other hand, is where the System-of-Interest (SoI) to be defined emerges. The following questions for the system definition needs to be answered:
• What must the system do?
• What are the external interfaces to the system?
In order to answer the first question, the expected behaviour is modelled as Functions.
Simulation with Python and MATLAB® in Capella
A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements.
Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “simulation”.
This presentation introduced how to embed Python or MATLAB® codes inside functions to do “simulation” within Capella.
Rolls-Royce UseCase: Capella for large complex mechanical systems
Rolls-Royce is a pre-eminent engineering company focused on world-class power and propulsion systems.
This webinar will discuss how Rolls-Royce is using Arcadia / Capella to define the architecture of a large civil aerospace turbofan engine. MBSE promises to help manage system complexity and minimise the associated risk.
This webinar was driven by Jim Daly:
Jim Daly has nearly forty years’ experience in aerospace engine development: fuel systems; control systems; software development; process improvement and thirteen years in current role as a System Architect at Rolls-Royce, responsible for control system and whole engine architecture and since 2016 deployment of MBSE.
CapellaDays2022 | CILAS - ArianeGroup | CILAS feedback about Capella use
This document discusses CILAS's use of the Arcadia methodology and Capella tool. It provides an overview of CILAS, its activities and products in optics and lasers. It then details how CILAS uses various Arcadia artifacts and Capella throughout its projects, covering operational analysis, functional needs, logical and physical architectures. Benefits of the approach include improved knowledge management and communication, while hurdles include resistance to change and resource demands of Capella. The document concludes that Arcadia implementation has been beneficial so far but continues tailoring and metrics are needed to support further adoption.
Tailoring Arcadia Framework in Thales UK
Architecture frameworks provide an approach to describing systems and the presentation of these elements and relationships to deliver the stakeholder needs. Essentially, frameworks provide templates for our engineering artefacts.
The design of a framework must accommodate a level of freedom in its usage; specific enough to answer the majority of stakeholder concerns whilst generic enough to allow for differences between projects. This balancing act often results in framework design being more generic to allow for a wider audience. Having an untailored framework, which is more ‘open’, can lead to creating inconsistent viewpoints.
Arcadia is one such framework as implemented through the Capella tool. The framework provides 4 perspectives/levels for product definition:
- The Operational Analysis, where the user needs are considered. Note: no concept of the System at this level.
- The System Analysis, where we define the contribution and scope of the System as a ‘black box’, identifying external interfaces, and top-level system functions.
- The Logical Architecture, where we break the System down into logical ‘blocks’ and decompose the functionality.
- The Physical Architecture, in which we define a (candidate) physical architecture, further decompose the functions, and deploy this functionality to the physical sub-systems, hardware, software and/or firmware.
In this talk, we acknowledge the strengths of the Arcadia framework, and the benefits it brings, whilst considering the need to tailor the generic viewpoints. We will provide examples of how we have adopted the generic Arcadia framework and further specified some of the viewpoints to meet the needs of our stakeholders. We will discuss future work looking at how we can translate these specialisations across other areas of the model. Finally, we will provide some suggestions and advice on tailoring views to meet your own needs and ensuring stakeholder engagement with the model.
MBSE with Arcadia method.pdf
The article will explore the Arcadia Operational Analysis layer to capture stakeholder (e.g., users, environment, other systems) and business needs, a reasoned step-by-step activities and artefacts (i.e., diagrams) that can be produced to help during the stakeholders elicitation process helping to explore needs and identify gaps in the analysis; the full MBSE with Arcadia step-by-step is not described in this article, but it has extended to all Arcadia layers (i.e., System Analysis, Logical and Physical Architecture) and it can be used in projects for defining and guiding in the initial project activities and artefacts to be produced from the model.
The Operational Analysis as mentioned in the previous article, aims at capturing what the user of the system needs to accomplish, hence, the Operational Analysis normally starts by identifying who the users (i.e., Operational Entities and/or Operational Actors) of the future system are, and any containment relationship between them.
System of systems modeling with Capella
1. The document provides guidelines for modeling systems of systems and internet of things using Capella and ARCADIA.
2. It discusses modeling constituent systems as separate Capella projects due to different stakeholders.
3. The "system to subsystem transition" feature in Capella allows creating sub-projects to represent constituent systems.
4. Capella library projects can be used to reuse components or systems across projects.
CapellaDays2022 | Thales DMS | A global engineering process based on MBSE to ...
Project Challenges
functional and non-functional requirements
big team, multi-business units, and multi-geographical sites
MBSE skills development
...
Project engineering process based on MBSE
multi-level MBSE approach (SSS, SSDD, transition to sub-systems, ...)
incremental engineering and AGILE development
engineering artefacts used and how they're linked (ARCADIA, conventional and AGILE artefacts)
Feed Forward
Our successes and pains
What we expect from Capella for the coming years
MBSE and Model-Based Testing with Capella
Nowadays, we are surrounded by system of systems, autonomous systems, interconnected systems or distributed heterogeneous systems with an increase in architecture complexity.
Keeping these systems operational is a challenge as the number of potential failures which may affect their availability also increases drastically. In order to optimize availability, maintenance activities have to be designed within the design phase of the system.
Whatever the implementation choice, detection, diagnostic or prevention of failures require tests.
The goal for autonomous systems also pushes towards embedded detection and prevention capabilities and thus arguing and decision making between system engineers and maintenance engineers to share solutions in their respective activities.
In this presentation, we talk about the ability of a system designed with Capella to be tested, including in the maintenance phase. This means to interconnect several kinds of models representing different perspectives: System Design (MBSE), RAMS Analysis (Reliability, Availability, Maintainability and Safety) and Testability.
We present how a MBSE approach with Capella can be used to initiate a testability study performed with the eXpress tool from DSI International.
[Capella Day 2019] Model execution and system simulation in Capella
A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements. Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “system simulation”.
This presentation introduces how we do model execution in Capella, and how to embed digital mockup inside functions to do “system simulation” with a higher confidence.
Renfei Xu, Glaway
Renfei Xu is the technical manager of MBSE solution in Glaway. He has participated in many pilot projects of MBSE in areas like Engine Control, Avionics, Mechatronics and so on. In recent years, he is responsible for the deployment of MBSE using Capella and ARCADIA methodology in a Radar research institute.
Wenhua Fang, Glaway
Wenhua Fang is the Director of Systems Engineering in Glaway. He has more than 12 years of working experience in SE.
He is responsible for more than 10 implementation projects of MBSE in areas like Aircraft, Engine Control, Avionics, Automotive and so on. In recent years, he leads the team to deploy MBSE in China(including using Capella and ARCADIA methodology).
Capella Days 2021 | Using MBSE to Integrate Engineering Undergraduate Courses...
The use of MBSE into the undergraduate courses brings the opportunity to integrate the curriculum through an Integrated Design Model. This lecture will: (i) explain the incorporation of Capella into an Airspace Engineering Curriculum; (ii) describe the experience in each discipline, allowing to keep the context, expanding through systemic perspectives; and (iii) present some results, feedbacks and lessons learned.
The lecture will close with how the Brazilian Secretary of Education changed the Brazilian Engineering Courses Guidelines to incorporate Systems Thinking and the opportunity to use Arcadia, and Capella – being free/opensource – as a common Systems Engineering Core.
Unleash the power of functional chains with Capella 1.3.1
Discover how functional chains play a central role
in model-based engineering with Arcadia
and the Capella open MBSE tool
In this Webinar, We Will:
- Explore the conceptual aspects of functional chains.
- Provide insights on how functional chains help strengthen
architectural design, master incremental development,
drive and optimize verification and validation activities,
and support non-functional analysis.
- Demonstrate the game-changing evolutions brought to Capella 1.3.1,
with the addition of both advanced composition capabilities
and sequence/control concepts.
ExaLearn Overview - ECP Co-Design Center for Machine Learning
In this deck from the HPC User Forum, Frank Alexander, from Brookhaven National Laboratory presents: ExaLearn Overview - ECP Co-Design Center for Machine Learning.
"ExaLearn is a co-design center for Exascale Machine Learning (ML) Technologies and is a collaboration initially consisting of experts from eight multipurpose DOE labs. Rapid growth in the amount of data and computational power is driving a revolution in machine learning (ML) and artificial intelligence (AI). Beyond the highly visible successes in machine-based natural language translation, these new ML technologies have profound implications for computational and experimental science and engineering and the exascale computing systems that DOE is deploying to support those disciplines.
To address these challenges, the ExaLearn co-design center will provide exascale ML software for use by ECP Applications projects, other ECP Co-Design Centers and DOE experimental facilities and leadership class computing facilities. The ExaLearn Co-Design Center will also collaborate with ECP PathForward vendors on the development of exascale ML software."
Watch the video: https://wp.me/p3RLHQ-kdJ
Learn more: https://www.exascaleproject.org/ecp-announces-new-co-design-center-to-focus-on-exascale-machine-learning-technologies/
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/letter
EarthCube Monthly Community Webinar- Nov. 22, 2013
This webinar features project overviews of all EarthCube Awards (Building Blocks, Research Coordination Networks, Conceptual Designs, and Test Governance), followed by a call for involvement, and a Q&A session.
Agenda:
EarthCube Awards – Project Overviews
1.. EarthCube Web Services (Building Block)
2. EC3: Earth-Centered Community for Cyberinfrastructure (RCN)
3. GeoSoft (Building Block)
4. Specifying and Implementing ODSIP (Building Block)
5. A Broker Framework for Next Generation Geoscience (BCube) (Building Block)
6. Integrating Discrete and Continuous Data (Building Block)
7. EAGER: Collaborative Research (Building Block)
8. A Cognitive Computer Infrastructure for Geoscience (Building Block)
9. Earth System Bridge (Building Block)
10. CINERGI – Community Inventory of EC Resources for Geoscience Interoperability (BB)
11. Building a Sediment Experimentalist Network (RCN)
12. C4P: Collaboration and Cyberinfrastructure for Paleogeosciences (RCN)
13. Developing a Data-Oriented Human-centric Enterprise for Architecture (CD)
14. Enterprise Architecture for Transformative Research and Collaboration (CD)
15. EC Test Enterprise Governance: An Agile Approach (Test Governance)
A Call for Involvement!
More Related Content
What's hot
CapellaDays2022 | Thales | Stairway to heaven: Climbing the very first steps
1) The document discusses strategies for starting to implement model-based systems engineering (MBSE) and using the Capella modeling tool at Thales Avionics. It recommends strengthening fundamentals like vocabulary, demystifying MBSE and Capella, and promoting quick wins.
2) Examples of quick wins include using Capella to generate documentation from models and creating Python scripts to automatically extract content from models into tables.
3) The document emphasizes that every small step counts towards improving engineering practices through pragmatic adoption of MBSE and continuous improvement.
CapellaDays2022 | NavalGroup | Closing the gap between traditional engineerin...
Closing the gap between traditional engineering and digital-native model-based driven engineering requires helping engineers to embrace new techniques. Naval Group decided to tackle the following issues: lack of interoperability with other systems, lack of bridge between functional definitions in PID schemas and MBSE physical layers, lack of documenting cross-layers relationships for a specific object's type.
Strategies and Tools for Model Reuse with Capella
This document discusses strategies and tools for model reuse in Capella, a modeling tool. It covers reusable elements (RECs and RPLs) that allow synchronized copies of model parts. Examples of creating RECs and RPLs are shown. The document also discusses using libraries to leverage and reuse model artifacts between projects. Yuzu is demonstrated as a tool for managing Capella libraries by finding required library versions, checking for updates, and publishing information. Future improvements are noted such as drag and drop of model elements.
Introduction to Capella and Arcadia with a Simple System
Discover both Capella and Arcadia with an example of product design
Learn how to build a toy catapult system thanks to the Arcadia method and the Capella open MBSE tool.
In this Webinar, We:
- Distinguish between systems engineering, which is concerned with the entire design-build-test-deploy cycle of systems development, and systems architecture, which is concerned
with system concept development and architectural design.
- Contrast the System Modeling Language, SysML,
appropriate for systems engineering, with the more focused tool, Capella, and its associated methodology, Arcadia,
which is more appropriate for systems architecture development.
- Provide an overview of the attractive features of Capella,
from the point of view of initiating modelers into the language of systems architecture and briefly demonstrate our longer free public tutorial.
This webinar was driven by Professor Peter L. Jackson
Pr. Jackson is Head, Engineering Systems and Design Pillar at Singapore University of Technology and Design. He served as the Director of the Cornell University Systems Engineering Program and led the introduction of its online Master of Engineering degree program in systems engineering ranked in the top eight such programs by US News and World Report. He published over thirty articles and is the author of an introductory text on systems engineering, 'Getting Design Right: A Systems Approach'. He is a celebrated instructor of industrial engineering and the creator of dozens of experiential learning games and tools.
Digitally assisted design for safety analysis
This document introduces ATICA4Capella, a model-based safety analysis framework and toolset for the aerospace industry. It uses the Capella modeling environment for systems engineering. The toolset allows defining functional requirements, performing a functional hazard analysis, and generating safety documentation. It also supports semi-automated fault tree analysis and is aligned with aerospace safety standards like ARP4761. A case study of applying the tools to an eVTOL vehicle design is presented. The document outlines ongoing work to further integrate requirements management and automated analysis capabilities.
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
The document provides an overview of the UK Atomic Energy Authority's (UKAEA) efforts to develop a conceptual design for a spherical tokamak fusion power plant called STEP using model-based systems engineering (MBSE) and the Capella modeling tool. It summarizes the MBSE methodology being used, provides an overview of the current Capella model, discusses modeling challenges and next steps which include further developing the physical architecture and linking the model to simulations. The overall goal is to deliver a prototype fusion power plant by 2040 to provide unlimited clean energy.
CapellaDays2022 | SIEMENS | Expand MBSE into Model-based Production Engineeri...
Mind Game: You want to build a LEGO Mindstorms Factory for Toy Cars and you are Head of Factory Planning. You identify that your manufacturing planning team and your product design team don’t collaborate with each other, because they work in silos and speak different languages. Their progress is too slow and the results are not synchronized.
Imagine: You succeed in merging your experts into one interdisciplinary team where everyone is collaboratively working together – already in the early stages of the engineering cycle. And imagine they start to speak the same language. Doubtless, you would speed up your engineering process. Furthermore, you would also reach a synchronized global solution for your manufacturing system and to be produced toy cars, building bridges inside your organization.
But how? This has been introduced by Dr.-Ing. C. Sinnwell in February 2020 in her PhD-thesis. There, she published the latest version of a methodology referred to as “MBPE – Model-Based Production Engineering”. The MBPE-methodology is a new approach for the conceptual design of manufacturing systems based on early product information supported by MBSE using UML.
The presentation will spotlight the MBPE-methodology, explaining how to use MBSE in the context of interdisciplinary factory and manufacturing planning. Also, it will be shown, how the methodology could be adapted to be realized with Eclipse Capella instead of any UML-modeling tool, illustrated by an example on how to conceptualize and model a LEGO Mindstorms production line for Toy Cars.
Capella Days 2021 | An example of model-centric engineering environment with ...
Today a number of EU railway operators are on a journey to define what the future of railway operations should look like. In Germany, DB AG works within the sector initiative Digitale Schiene Deutschland. Next to the implementation of ETCS/DSTW technology in the first stage, the initiatives aims in the second stage to improve the performance, quality and efficiency of the railway system by higher degrees of automation in traffic management, train driving and infrastructure operation. This requires implementation of new technologies like artificial intelligence, localization and perception sensors, cloud computing and 5G connectivity.
MBSE with Arcadia method step-by-step System Analysis.pdf
The Operational Analysis described is the previous article, MBSE with Arcadia method step-by-step: Operational Analysis [1], involves defining and creating a domain model, independently of the future system to be realized. The principle is to create a level of abstraction from the system under study in order to focus on the needs of the different stakeholders.
The System Analysis level, on the other hand, is where the System-of-Interest (SoI) to be defined emerges. The following questions for the system definition needs to be answered:
• What must the system do?
• What are the external interfaces to the system?
In order to answer the first question, the expected behaviour is modelled as Functions.
Simulation with Python and MATLAB® in Capella
A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements.
Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “simulation”.
This presentation introduced how to embed Python or MATLAB® codes inside functions to do “simulation” within Capella.
Rolls-Royce UseCase: Capella for large complex mechanical systems
Rolls-Royce is a pre-eminent engineering company focused on world-class power and propulsion systems.
This webinar will discuss how Rolls-Royce is using Arcadia / Capella to define the architecture of a large civil aerospace turbofan engine. MBSE promises to help manage system complexity and minimise the associated risk.
This webinar was driven by Jim Daly:
Jim Daly has nearly forty years’ experience in aerospace engine development: fuel systems; control systems; software development; process improvement and thirteen years in current role as a System Architect at Rolls-Royce, responsible for control system and whole engine architecture and since 2016 deployment of MBSE.
CapellaDays2022 | CILAS - ArianeGroup | CILAS feedback about Capella use
This document discusses CILAS's use of the Arcadia methodology and Capella tool. It provides an overview of CILAS, its activities and products in optics and lasers. It then details how CILAS uses various Arcadia artifacts and Capella throughout its projects, covering operational analysis, functional needs, logical and physical architectures. Benefits of the approach include improved knowledge management and communication, while hurdles include resistance to change and resource demands of Capella. The document concludes that Arcadia implementation has been beneficial so far but continues tailoring and metrics are needed to support further adoption.
Tailoring Arcadia Framework in Thales UK
Architecture frameworks provide an approach to describing systems and the presentation of these elements and relationships to deliver the stakeholder needs. Essentially, frameworks provide templates for our engineering artefacts.
The design of a framework must accommodate a level of freedom in its usage; specific enough to answer the majority of stakeholder concerns whilst generic enough to allow for differences between projects. This balancing act often results in framework design being more generic to allow for a wider audience. Having an untailored framework, which is more ‘open’, can lead to creating inconsistent viewpoints.
Arcadia is one such framework as implemented through the Capella tool. The framework provides 4 perspectives/levels for product definition:
- The Operational Analysis, where the user needs are considered. Note: no concept of the System at this level.
- The System Analysis, where we define the contribution and scope of the System as a ‘black box’, identifying external interfaces, and top-level system functions.
- The Logical Architecture, where we break the System down into logical ‘blocks’ and decompose the functionality.
- The Physical Architecture, in which we define a (candidate) physical architecture, further decompose the functions, and deploy this functionality to the physical sub-systems, hardware, software and/or firmware.
In this talk, we acknowledge the strengths of the Arcadia framework, and the benefits it brings, whilst considering the need to tailor the generic viewpoints. We will provide examples of how we have adopted the generic Arcadia framework and further specified some of the viewpoints to meet the needs of our stakeholders. We will discuss future work looking at how we can translate these specialisations across other areas of the model. Finally, we will provide some suggestions and advice on tailoring views to meet your own needs and ensuring stakeholder engagement with the model.
MBSE with Arcadia method.pdf
The article will explore the Arcadia Operational Analysis layer to capture stakeholder (e.g., users, environment, other systems) and business needs, a reasoned step-by-step activities and artefacts (i.e., diagrams) that can be produced to help during the stakeholders elicitation process helping to explore needs and identify gaps in the analysis; the full MBSE with Arcadia step-by-step is not described in this article, but it has extended to all Arcadia layers (i.e., System Analysis, Logical and Physical Architecture) and it can be used in projects for defining and guiding in the initial project activities and artefacts to be produced from the model.
The Operational Analysis as mentioned in the previous article, aims at capturing what the user of the system needs to accomplish, hence, the Operational Analysis normally starts by identifying who the users (i.e., Operational Entities and/or Operational Actors) of the future system are, and any containment relationship between them.
System of systems modeling with Capella
1. The document provides guidelines for modeling systems of systems and internet of things using Capella and ARCADIA.
2. It discusses modeling constituent systems as separate Capella projects due to different stakeholders.
3. The "system to subsystem transition" feature in Capella allows creating sub-projects to represent constituent systems.
4. Capella library projects can be used to reuse components or systems across projects.
CapellaDays2022 | Thales DMS | A global engineering process based on MBSE to ...
Project Challenges
functional and non-functional requirements
big team, multi-business units, and multi-geographical sites
MBSE skills development
...
Project engineering process based on MBSE
multi-level MBSE approach (SSS, SSDD, transition to sub-systems, ...)
incremental engineering and AGILE development
engineering artefacts used and how they're linked (ARCADIA, conventional and AGILE artefacts)
Feed Forward
Our successes and pains
What we expect from Capella for the coming years
MBSE and Model-Based Testing with Capella
Nowadays, we are surrounded by system of systems, autonomous systems, interconnected systems or distributed heterogeneous systems with an increase in architecture complexity.
Keeping these systems operational is a challenge as the number of potential failures which may affect their availability also increases drastically. In order to optimize availability, maintenance activities have to be designed within the design phase of the system.
Whatever the implementation choice, detection, diagnostic or prevention of failures require tests.
The goal for autonomous systems also pushes towards embedded detection and prevention capabilities and thus arguing and decision making between system engineers and maintenance engineers to share solutions in their respective activities.
In this presentation, we talk about the ability of a system designed with Capella to be tested, including in the maintenance phase. This means to interconnect several kinds of models representing different perspectives: System Design (MBSE), RAMS Analysis (Reliability, Availability, Maintainability and Safety) and Testability.
We present how a MBSE approach with Capella can be used to initiate a testability study performed with the eXpress tool from DSI International.
[Capella Day 2019] Model execution and system simulation in Capella
A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements. Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “system simulation”.
This presentation introduces how we do model execution in Capella, and how to embed digital mockup inside functions to do “system simulation” with a higher confidence.
Renfei Xu, Glaway
Renfei Xu is the technical manager of MBSE solution in Glaway. He has participated in many pilot projects of MBSE in areas like Engine Control, Avionics, Mechatronics and so on. In recent years, he is responsible for the deployment of MBSE using Capella and ARCADIA methodology in a Radar research institute.
Wenhua Fang, Glaway
Wenhua Fang is the Director of Systems Engineering in Glaway. He has more than 12 years of working experience in SE.
He is responsible for more than 10 implementation projects of MBSE in areas like Aircraft, Engine Control, Avionics, Automotive and so on. In recent years, he leads the team to deploy MBSE in China(including using Capella and ARCADIA methodology).
Capella Days 2021 | Using MBSE to Integrate Engineering Undergraduate Courses...
The use of MBSE into the undergraduate courses brings the opportunity to integrate the curriculum through an Integrated Design Model. This lecture will: (i) explain the incorporation of Capella into an Airspace Engineering Curriculum; (ii) describe the experience in each discipline, allowing to keep the context, expanding through systemic perspectives; and (iii) present some results, feedbacks and lessons learned.
The lecture will close with how the Brazilian Secretary of Education changed the Brazilian Engineering Courses Guidelines to incorporate Systems Thinking and the opportunity to use Arcadia, and Capella – being free/opensource – as a common Systems Engineering Core.
Unleash the power of functional chains with Capella 1.3.1
Discover how functional chains play a central role
in model-based engineering with Arcadia
and the Capella open MBSE tool
In this Webinar, We Will:
- Explore the conceptual aspects of functional chains.
- Provide insights on how functional chains help strengthen
architectural design, master incremental development,
drive and optimize verification and validation activities,
and support non-functional analysis.
- Demonstrate the game-changing evolutions brought to Capella 1.3.1,
with the addition of both advanced composition capabilities
and sequence/control concepts.
What's hot (20)
CapellaDays2022 | Thales | Stairway to heaven: Climbing the very first steps
CapellaDays2022 | Thales | Stairway to heaven: Climbing the very first steps
CapellaDays2022 | NavalGroup | Closing the gap between traditional engineerin...
CapellaDays2022 | NavalGroup | Closing the gap between traditional engineerin...
Introduction to Capella and Arcadia with a Simple System
Introduction to Capella and Arcadia with a Simple System
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...
CapellaDays2022 | SIEMENS | Expand MBSE into Model-based Production Engineeri...
CapellaDays2022 | SIEMENS | Expand MBSE into Model-based Production Engineeri...
Capella Days 2021 | An example of model-centric engineering environment with ...
Capella Days 2021 | An example of model-centric engineering environment with ...
MBSE with Arcadia method step-by-step System Analysis.pdf
MBSE with Arcadia method step-by-step System Analysis.pdf
Rolls-Royce UseCase: Capella for large complex mechanical systems
Rolls-Royce UseCase: Capella for large complex mechanical systems
CapellaDays2022 | CILAS - ArianeGroup | CILAS feedback about Capella use
CapellaDays2022 | CILAS - ArianeGroup | CILAS feedback about Capella use
CapellaDays2022 | Thales DMS | A global engineering process based on MBSE to ...
CapellaDays2022 | Thales DMS | A global engineering process based on MBSE to ...
[Capella Day 2019] Model execution and system simulation in Capella
[Capella Day 2019] Model execution and system simulation in Capella
Capella Days 2021 | Using MBSE to Integrate Engineering Undergraduate Courses...
Capella Days 2021 | Using MBSE to Integrate Engineering Undergraduate Courses...
Unleash the power of functional chains with Capella 1.3.1
Unleash the power of functional chains with Capella 1.3.1
Similar to Using Capella on a Brazilian Nanosat Project
ExaLearn Overview - ECP Co-Design Center for Machine Learning
In this deck from the HPC User Forum, Frank Alexander, from Brookhaven National Laboratory presents: ExaLearn Overview - ECP Co-Design Center for Machine Learning.
"ExaLearn is a co-design center for Exascale Machine Learning (ML) Technologies and is a collaboration initially consisting of experts from eight multipurpose DOE labs. Rapid growth in the amount of data and computational power is driving a revolution in machine learning (ML) and artificial intelligence (AI). Beyond the highly visible successes in machine-based natural language translation, these new ML technologies have profound implications for computational and experimental science and engineering and the exascale computing systems that DOE is deploying to support those disciplines.
To address these challenges, the ExaLearn co-design center will provide exascale ML software for use by ECP Applications projects, other ECP Co-Design Centers and DOE experimental facilities and leadership class computing facilities. The ExaLearn Co-Design Center will also collaborate with ECP PathForward vendors on the development of exascale ML software."
Watch the video: https://wp.me/p3RLHQ-kdJ
Learn more: https://www.exascaleproject.org/ecp-announces-new-co-design-center-to-focus-on-exascale-machine-learning-technologies/
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/letter
EarthCube Monthly Community Webinar- Nov. 22, 2013
This webinar features project overviews of all EarthCube Awards (Building Blocks, Research Coordination Networks, Conceptual Designs, and Test Governance), followed by a call for involvement, and a Q&A session.
Agenda:
EarthCube Awards – Project Overviews
1.. EarthCube Web Services (Building Block)
2. EC3: Earth-Centered Community for Cyberinfrastructure (RCN)
3. GeoSoft (Building Block)
4. Specifying and Implementing ODSIP (Building Block)
5. A Broker Framework for Next Generation Geoscience (BCube) (Building Block)
6. Integrating Discrete and Continuous Data (Building Block)
7. EAGER: Collaborative Research (Building Block)
8. A Cognitive Computer Infrastructure for Geoscience (Building Block)
9. Earth System Bridge (Building Block)
10. CINERGI – Community Inventory of EC Resources for Geoscience Interoperability (BB)
11. Building a Sediment Experimentalist Network (RCN)
12. C4P: Collaboration and Cyberinfrastructure for Paleogeosciences (RCN)
13. Developing a Data-Oriented Human-centric Enterprise for Architecture (CD)
14. Enterprise Architecture for Transformative Research and Collaboration (CD)
15. EC Test Enterprise Governance: An Agile Approach (Test Governance)
A Call for Involvement!
CS8461 Operating System Lab Manual S.Selvi
CS8461 - Operating System Laboratory Manual prepared for the Engineering graduates admitted under 2017 Regulations, Anna University affiliated institutions of TamilNadu,India
Cn lab manual sb 19_scsl56 (1)
The document is a lab manual for a Computer Networks course that includes:
1. An introduction to the NS2 network simulator software including its architecture, components, and basic usage.
2. Instructions for setting up network topologies in NS2 including creating nodes, links, queues, and configuring traffic.
3. A list of 12 experiments to be conducted in the lab covering topics like implementing simple networks, studying protocols like TCP and CDMA, and writing programs for networking algorithms.
4. Details on evaluating student performance and conducting the practical examination.
Francesco Serafin
This is the presentation for his admission to the third year of his Ph.D.. It talks about the several direction his work had taken and look forward to the conclusion of some task in form of code release and published papers.
Software and Education at NSF/ACI
A talk about NSF/ACI programs and example projects in cyberinfrastructure software and education at the CyberGIS'14 conference
Capella Days 2021 | How much time does modeling take? Experiences from modeli...
A shared common mental model of a system design between team members is a goal many projects aspire to. Applying MBSE can be one way of achieving this. Here we present the results of an inexperienced modeler taking existing code logic and modeling it in Capella 5.0, and measuring how much effort was needed. The models make the logic of the program more accessible to coders who did not worked on that specific piece of code previously, which can increase the possibility of code review and improving logic. The case study was a University CubeSat team, where team members join the project as a part of their thesis, while the project continues for 2-3 years, and modeling the code logic can reduce some of the onboarding effort required when new members want to reuse or improve on existing codebase.
CS8383 Object Oriented Programming Laboratory Manual
This document provides instructions and outlines the syllabus for the laboratory course CS8383 – Object Oriented Programming Laboratory. It includes 12 experiments covering topics like generating bills, currency conversion, inheritance with employee classes, interfaces, string operations with ArrayList, abstract classes, exception handling, file processing, multithreading, generics, and event-driven programming for a calculator application. The course aims to help students develop and implement Java programs involving classes, packages, interfaces, and concepts like exception handling, file processing, and event handling.
Ade manual with co po-18scheme
This document outlines the syllabus for the Analog and Digital Electronics Laboratory course for the third semester Computer Science students. It includes the vision, mission, objectives, and outcomes of both the institution and department. The syllabus covers both analog and digital circuits through 9 experiments involving components like timers, operational amplifiers, adders/subtractors, multiplexers, flip-flops, and counters. Students will design, simulate, implement, and test the circuits both in hardware and HDL. The goal is for students to apply design skills and gain practical experience with electronic components and tools.
GCU list of modules
The document provides short descriptions of 14 modules that make up a Network Systems Engineering degree course. The modules cover topics such as data communication systems, cryptography, campus networking, routing, IT project management, research methods, professionalism, simulating multimedia networks, and a final honors project evaluating VoIP codecs.
IT6511 Networks Laboratory
This document contains information related to a Networks Laboratory course, including the lab manual, program objectives, outcomes, syllabus, and index. It provides:
1) An overview of the course contents, objectives to learn network commands, socket programming, analyze protocols, and use simulation tools.
2) Details on the program outcomes which focus on applying technical knowledge, lifelong learning, research, and total quality education.
3) A list of 12 experiments that will be conducted in the lab, including implementing various protocols using sockets and simulating protocols using a network simulator.
4) An index table to record details of experiments conducted like date, topic, outcomes and marks.
Savier Open Innovation Program
SAVIER Open Innovation is a flagshiop program to cover customer capability gaps with state of the art research demonstrated together on a real UAV ground station.
Its goal is to
• Help steer academic research to Airbus strategy and customers
• Create a mixed community to solve customer problems
• Bring our engineers to state of the art research, and scientists to our business
• PhD students to on real systems, with Airbus mentoreing learning by doing
sample-resume
This document provides a summary of Avinash Malik's education, employment history, projects, teaching experience, and publications. Some key details:
- Avinash Malik received his PhD in Electrical and Computer Engineering from the University of Auckland in 2010, with a thesis on a new system-level programming language called SystemJ.
- He is currently a Lecturer at the University of Auckland, where he has supervised several PhD and masters students. His projects include work on peer-to-peer lending portfolio optimization and heart modeling from ECG data.
- Previous positions include postdoctoral research roles at Trinity College Dublin, IBM Research Dublin, and INRIA Grenoble-Rhône
Cs8383 oop lab manual-2019
This document contains information about the Object Oriented Programming laboratory course for the Department of Information Technology at Kamaraj College of Engineering and Technology in Madurai, India. It includes the vision and mission statements of the institute and department, program educational objectives, program outcomes, course syllabus, outcomes, and a course plan. The course aims to develop software skills in Java programming, teach concepts like classes, packages, interfaces, exceptions, and help students build applications using files, generics, events, and threads. It is a 2 credit course conducted over 60 periods in the third semester for the 2017 regulation batch of the B.Tech Information Technology program.
A case study of LEGO Mindstorms suitability for artificial intelligence and...
This document examines the suitability of using LEGO Mindstorms kits for robotics projects in an artificial intelligence course. It discusses student backgrounds, the course context, the Mindstorms equipment used, and 6 sample projects completed with the Mindstorms kits. The projects included designing simple reflex robots, evaluating sensor accuracy, building autonomous robots, implementing intelligent agents, and remotely controlling robots with a Lisp interpreter. The document evaluates both the strengths and limitations of using Mindstorms kits for college-level AI education.
Herramientas y técnicas para la Gestión del Conocimiento Nuclear
Seminario Web
"Herramientas y técnicas para la Gestión del Conocimiento Nuclear"
Claudio Henrique dos Santos Grecco, PostDoc
Organizado por la Red LAPRAM
2 de octubre 2020
Teaching-KS-Jun2015
Dr. Kamran Sartipi has extensively contributed to program, course, and lab development at both the undergraduate and graduate levels. He has been involved in 2 program developments, 9 course developments, and 5 course contributions. He has also taught 13 different courses. Some of his contributions include developing the interdisciplinary MSc eHealth program, proposing a framework for the software engineering program at UOIT, and initiating a new program option in cloud software engineering. He has also developed several new courses at both the undergraduate and graduate levels focused on topics like cloud computing, software architecture, and formal specification techniques.
Exascale Computing Project Update
In this deck from the HPC User Forum at Argonne, Doug Kothe from the Exascale Computing Project presents an ECP update.
"The Exascale Computing Project (ECP) is focused on accelerating the delivery of a capable exascale computing ecosystem that delivers 50 times more computational science and data analytic application power than possible with DOE HPC systems such as Titan (ORNL) and Sequoia (LLNL). With the goal to launch a US exascale ecosystem by 2021, the ECP will have profound effects on the American people and the world."
Watch the video: https://wp.me/p3RLHQ-kPG
Learn more: https://exascaleproject.org
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
SophiaAndWalterPoster
This project studied model-based systems engineering (MBSE) approaches compared to traditional document-centric approaches. Systems engineers at NASA Goddard Space Flight Center currently use document-centric methods. Surveys were conducted with the Department of Defense to evaluate the modeling tools Magic Draw and Innoslate. The study concluded which tool was best suited for NASA Goddard. The goal is to begin transitioning engineers to MBSE tools to improve efficiencies and reduce risks compared to document-centric methods. Skills in Magic Draw and Innoslate modeling were developed through this work.
Thesis+of+bechir+bani.ppt
The document discusses a methodology for evaluating the impact of databases and cloud patterns on the energy efficiency of cloud applications. It aims to measure the energy consumption and response time of applications implemented with MySQL, PostgreSQL, and MongoDB databases, both individually and combined with cloud patterns like Local Database Proxy, Local Sharding-Based Router, and Priority Message Queue. The methodology defines research questions, hypotheses, independent variables like choice of database/pattern, dependent variables like energy usage and response time. It also describes the data extraction process and analysis methods that will be used. The overall goal is to understand how databases and patterns affect energy efficiency and response time to help developers make informed design choices.
Similar to Using Capella on a Brazilian Nanosat Project (20)
ExaLearn Overview - ECP Co-Design Center for Machine Learning
ExaLearn Overview - ECP Co-Design Center for Machine Learning
EarthCube Monthly Community Webinar- Nov. 22, 2013
EarthCube Monthly Community Webinar- Nov. 22, 2013
Capella Days 2021 | How much time does modeling take? Experiences from modeli...
Capella Days 2021 | How much time does modeling take? Experiences from modeli...
CS8383 Object Oriented Programming Laboratory Manual
CS8383 Object Oriented Programming Laboratory Manual
A case study of LEGO Mindstorms suitability for artificial intelligence and...
A case study of LEGO Mindstorms suitability for artificial intelligence and...
Herramientas y técnicas para la Gestión del Conocimiento Nuclear
Herramientas y técnicas para la Gestión del Conocimiento Nuclear
More from Obeo
INCOSE IS 2023 | You deserve more than the best in class MBSE tool
As Model-Based Systems Engineering (MBSE) becomes more widely adopted in industry, projects involving collaborating teams require efficient collaboration and coordination. This talk will explore the challenges of industrializing MBSE projects and present solutions using the Capella modeling tool. We will discuss how the Cloud for Capella, Publication for Capella and Team for Capella extensions can support effective collaboration and communication among stakeholders working on MBSE projects. These extensions enable all project participants to remain aligned and up-to-date with project progress, ensuring that the project runs smoothly and efficiently. By the end of the talk, attendees will have a better understanding of how to industrialize MBSE projects and the role Capella can play in supporting these efforts.
Biography: Stephane Lacrampe
Stephane Lacrampe co-founded Obeo in 2005 in France and acted as the company's CEO until 2018. Obeo is an independent software vendor with a global reach, leading in open-source modeling software for system and software engineers, enterprise architects, and domain modeling experts. He is now the director of Obeo Canada. He is a very active member of the Capella community and is in charge of developing the Capella ecosystem in North and South America. He is a regular MBSE speaker who speaks at conferences in America and beyond. Stephane LACRAMPE is co-chair of the INCOSE Systems Engineering Tools Database Working Group and the INCOSE Canada chapter webmaster.
CapellaDays2022 | COMAC - PGM | How We Use Capella for Collaborative Design i...
COMAC is one of the leading suppliers of civil aircraft in the world. We will introduce how we use Capella in COMAC for collaborative design, including how to collaborate between overall design group and ATA design groups, and how to collaborate between different ATA design groups. We have done a series of extension development based on the System to Subsystem Transition add-on, to support the business process. These extensions include the integration from subsystem models to system model, the refinement of functional exchanges, the synchronization of newly added functional exchanges, and so on.
CapellaDays2022 | ThermoFisher - ESI TNO | A method for quantitative evaluati...
Development of high-tech systems is a complex task done by diverse specialists distributed across the globe. Reference architectures including a clear functional breakdowns can support them and support their decisions. This presentation proposes an approach to improve the development of advanced electron microscopes by using Capella as an authoritative source of information. To support design decisions, a Capella AddOn has been developed to obtain quantitative information, such as throughput numbers, for a particular workflow. First, we will illustrate how functional and system decompositions can be captured and serve as company-wide architecting assets to inform design decisions. Next, we will outline how simulating Capella models can bring valuable insights to modelers. During a demo, we’ll simulate Capella’s Functional chains using the open-source simulation tool POOSL (https://github.com/eclipse/poosl) , and visualize results using the freely available TRACE4CPS tool (https://www.eclipse.org/trace4cps/). Re-using functions from the reference architecture allows us reason about design aspects such as the relation between throughput and design choices about function allocation and parallelism.
***
The open-source code of the solution is available at https://github.com/TNO/capella-workflow-dse
Gestion applicative des données, un REX du Ministère de l'Éducation Nationale
Gestion applicative des données, un REX du Ministère de l'Éducation Nationale
Slides du webinaire IS Designer du Jeudi 10 Novembre 2022.
Une approche de modélisation et de
génération automatique avec IS Designer.
Le pôle de Versailles du Ministère de l'Éducation Nationale a utilisé l'outil open-source Information System Designer sur plusieurs projets à portée nationale pour modéliser les bases de données et les couches applicatives d'accès aux données (DAO).
Ce retour d'expérience sera présenté en détail lors de ce webinaire :
✔ la démarche mise en place,
✔ comment l'outil a été utilisé,
✔ les bénéfices constatés.
"Pour la dizaine de développeurs impliqués sur ces projets, la production automatique des Tests Unitaires a aussi permis de s'approprier plus facilement le socle technique, grâce à une approche par l'exemple, mais également d’avoir une assurance de non régression sur les fonctionnalités produites."
From Model-based to Model and Simulation-based Systems Architectures
Achieving quality engineering through descriptive and analytical models
Systems architecture design is a key activity that affect the
overall systems engineering cost. It is hence fundamental
to ensure that the system architecture reaches a proper quality.
In this paper, we leverage on MBSE approaches and complement them
with simulation techniques, as a prom-ising way to improve the quality of the system architecture definition, and to come up with inno-vative solutions while securing the systems engineering process.
Connecting Textual Requirements with Capella Models
This document provides information about a webinar hosted by The REUSE Company in 2022. It introduces the two presenters, José Fuentes and Jose Pereira, and provides details about their backgrounds and qualifications. It also outlines the contents of the webinar, which will include an introduction to The REUSE Company, a demonstration of using textual requirements with Capella, and a question and answer session.
Sirius Web Advanced : Customize and Extend the Platform
Beyond the no code approach, Sirius Web is an open and extensible platform that you can customize in order to support your needs. Discover how to develop specific features in Sirius Web and integrate your modeler with other web applications.
Stéphane Bégaudeau, Obeo
Stéphane Bégaudeau graduated from the Nantes University of Sciences and Technology and is currently working as an Eclipse Modeling consultant at Obeo in France.
Sirius Web 101 : Create a Modeler With No Code
Sirius Web 101 provides a no-code modeler that allows defining domains and views without writing code. The document demonstrates creating a company domain with teams, employees, sites using no code definitions. It then shows two diagrams - one for teams and one for sites - generated from the same data. The summary concludes that the no-code results can address simple cases and that new no-code features are in development.
Sirius Project, Now and In the Future
What's new in Sirius Web ? Discover the current version and what will come in the next releases.
Mélanie Bats, Obeo
Mélanie Bats works as CTO at Obeo. In my daily work, I am mainly focused on managing the R&D team, creating products based on our own open source technologies. I am used to work in the development of modeling tools with Sirius like UML Designer. I am committer for the EEF and the Sirius projects. I am also involved in the Eclipse community as being the Eclipse Planning Council chair. I am also a free software activist who has organized and participated in free software events in the Toulouse area.
Visualizing, Analyzing and Optimizing Automotive Architecture Models using Si...
Visualizing, Analyzing and Optimizing Automotive Architecture Models using Sirius
Advancing digitalization affects almost all aspects of our modern world. A prominent example is that of modern automobiles. From primarily mechanical machines, cars have evolved into driving complex cyber-physical systems over the last decades. Optimizing such systems consisting of vast networks of sensors, actuators, control units, and communication systems is a huge challenge for today's automotive industry and requires standardized and integrated toolchains fit for purpose. Together with a prestigious automotive industry partner, the Technical University of Ilmenau developed an application together with an integrated toolchain for evaluating and optimizing automotive architecture models. This application is based on the Obeo Sirius project as well as the Eclipse Modeling Framework. Based on Sirius, we created a model editor which is used for visualizing, editing, but also analyzing and optimizing automotive models across the boundaries of different architectural layers.
Maximilian Hammer, Technical University of Ilmenau
Maximilian Hammer is a Research Assistant at Technical University of Ilmenau
Defining Viewpoints for Ontology-Based DSLs
The openCAESAR project provides an EMF-based implementation of the Ontological Modeling Language (OML), which simplifies the use of semantic web ontologies for modeling and analysis. An OML model can be either be a vocabulary model that defines the terms and rules in a business domain with precise syntax and logical semantics, or can be a description model that uses that vocabulary to describe knowledge. OML has successfully been used at the Jet Propulsion Laboratory (JPL) in the context of Model Based Systems Engineering (MBSE), specifically to define the JPL systems engineering methodology in a highly modular and extensible way. Sirius has been used to define the authoring viewpoints that support such methodology. In this talk, we present how OML and Sirius can be used together, through the OML Rosetta Workbench, to streamline the development of an ontology-based modeling methodology and the authoring tools for it. The ideas will be demonstrated on a small example.
Maged Elaasar, NASA - Jet Propulsion Laboratory
Maged Elaasar is a Senior Software Systems Architect at NASA’s Jet Propulsion Laboratory (JPL) at the California Institute of Technology (Caltech). He technically leads a JPL-wide strategic R&D program called Integrated Model Centric Engineering (IMCE). Prior to that, Maged was a Senior Software Engineer at IBM, where he led the R&D of various software and systems modeling technologies. Maged is also the founder of Modelware Solutions, a company based in California that provides development, consulting, and training services in the area of model based engineering (MBE)
Development of DSL for Context-Aware Mobile Applications
In recent years, technological growth has been exponential in relation to mobile devices (such as embedded sensors as GPS or accelerometer) that has allowed developing context-aware mobile applications for the market. This growth generates a new challenge about how to support the creation of this kind of application in order to adapt them to the user’s current demand. There are at present several approaches that could be used to create context-aware mobile applications, but these approaches are not designed to support variability in the kind of generated applications.Our aim is to propose a building tool that allows generating a wide variety of applications. Our tool has been designed from scratch considering a taxonomy of variability concepts (relevance, combination, precision and accuracy’s margins, configuration type, and execution type) which help to identify the potential variability points to obtain more flexible building approaches.
Estevan Gomez, Universidad de las Fuerzas Armadas - ESPE
Estevan R. Gómez-Torres, PhD (c) Universidad Nacional de la Plata Argentina, Master in Systems Management and Systems Engineering from Universidad de las Fuerzas Armadas 'ESPE' in Quito-Ecuador. His field of work and research include lines such as: Big Data, Internet of Things, Project Management, Development of mobile applications in contexts, Artificial Intelligence, Data Analytics, Machine Learning, Smart Cities.
SimfiaNeo - Workbench for Safety Analysis powered by Sirius
The document discusses the dependability engineering tool SimfiaNeo. It defines dependability as a system property where users have justified confidence in the system's services. Dependability engineering involves predicting failures, assessing risks, and mitigating consequences. SimfiaNeo allows modeling systems using the AltaRica language, validating models for consistency, simulating models, generating cuts of failure scenarios, and producing documentation reports. Existing components from Simfia like the AltaRica engine are reused in SimfiaNeo.
Get into MBSE-MBSA process with a dedicated toolchain
E/E systems and cyber-physical systems are carrying out more and more advanced and safety critical features in many domains such as transport, energy, industry, farming, medical, etc. Therefore, during last few years, to manage the development of those complex systems, companies have moved from a document-based approach to a model-based approach associated with very specific tools.
However, system and safety engineering, and some other related engineering domains like cybersecurity for instance, are still too often conducted independently, whereas safety and system attributes are largely interdependent. There is a need to foster greater collaboration between these disciplines to avoid errors and also to maintain time-to-market.
That's why since several years, ALL4TEC, with its safety analysis tool Safety Architect, has been working to connect its tool with system solutions to couple MBSE and MBSA. The goal is to better ensure consistency between system design and safety analysis.
During this talk, ALL4TEC will present its Capella add-on that allows annotation of Capella models with basic safety information, smart export and dynamic connection to share data between Capella and Safety Architect to support MBSE-MBSA.
Capella annual meeting 2022
2022, here we are! It's the perfect time to take a look back at 2021 and make plans for 2022!
In this webinar, Juan Navas presents the major events of 2021, the roadmap for 2022, and the main features included in the latest version of Capella, but also reviews the ecosystem's innovations and the evolutions of the add-ons
Juan Navas is MBSE Expert in Thales Corporate Engineering. He leads the team that accompanies managers and architects implement MBSE practices on operational projects to improve their engineering performance. He is a System Architect with +10 years’ experience, he holds a PhD in Computer Science, an MSc in control and computer science, and Electronics and Electrical Engineering Degrees.
Générez automatiquement vos diagrammes d'architecture | Webinaire Obeo SmartEA
Comment assurer une certaine cohérence des données dans un référentiel d'architecture, et produire à grande échelle des représentations graphiques pertinentes ?
Obeo SmartEA 6.3 apporte deux nouvelles fonctionnalités permettant de répondre à ce besoin :
- des stéréotypes pour cadrer les propriétés dynamiques ArchiMate,
- des templates pour générer des diagrammes spécifiques.
Découvrez ces nouveautés et leur mise en œuvre sur un cas concret : la création d'un catalogue de services applicatifs.
Capella (once again) in space, meeting nanosatellites
Previously, Capella models (slightly extended by new features dedicated to system test specification) was used by the French Space Agency (CNES) to demonstrate that the current document-centric process could be improved. Applied on the “Space Variable Objects Monitor (SVOM)” operational use case, it helped the CNES in the definition and the validation of its future space system dedicated to the gamma ray detection and study. Proof being made, Kineis, created by the CNES and the CLS, reiterates the experience and continues to make it a strategic technology for science. Its current challenge is to add 25 state-of-the-art nano-satellites to the existing system to enhance IoT capabilities and address new markets. In line with the CNES Capella experience, Kinéis decided to build its “System Test” process on Capella. The extendibility and the flexibility of Capella nevertheless allowed them to carry on the previously initiated toolchain in order to cover the full process and support more use cases.
Jonathan Lasalle (Artal / Magellium)
- In charge of MBSE-related activities at Artal / Magellium
- Architect of the Citrus framework dedicated to model-based test mean engineering
Identifier et suivre les applications à risque pour des processus métier | We...
Quelles sont les applications du SI dont l'obsolescence technique menace la bonne exécution de certains processus métier?
Répondre à cette question, et gérer les situations à risque, nécessite de pouvoir s'appuyer sur un référentiel de données fiables et exploitables qui décrivent le SI et ses liens avec le métier.
Après un premier webinaire il y a quelques mois, consacré à la collecte des données, Romain Guider vous propose un deuxième webinaire pour discuter de l'exploitation de ces données, dans le cadre d'une gestion de l'obsolescence applicative.
More from Obeo (18)
INCOSE IS 2023 | You deserve more than the best in class MBSE tool
INCOSE IS 2023 | You deserve more than the best in class MBSE tool
CapellaDays2022 | COMAC - PGM | How We Use Capella for Collaborative Design i...
CapellaDays2022 | COMAC - PGM | How We Use Capella for Collaborative Design i...
CapellaDays2022 | ThermoFisher - ESI TNO | A method for quantitative evaluati...
CapellaDays2022 | ThermoFisher - ESI TNO | A method for quantitative evaluati...
Gestion applicative des données, un REX du Ministère de l'Éducation Nationale
Gestion applicative des données, un REX du Ministère de l'Éducation Nationale
From Model-based to Model and Simulation-based Systems Architectures
From Model-based to Model and Simulation-based Systems Architectures
Connecting Textual Requirements with Capella Models
Connecting Textual Requirements with Capella Models
Sirius Web Advanced : Customize and Extend the Platform
Sirius Web Advanced : Customize and Extend the Platform
Visualizing, Analyzing and Optimizing Automotive Architecture Models using Si...
Visualizing, Analyzing and Optimizing Automotive Architecture Models using Si...
Development of DSL for Context-Aware Mobile Applications
Development of DSL for Context-Aware Mobile Applications
SimfiaNeo - Workbench for Safety Analysis powered by Sirius
SimfiaNeo - Workbench for Safety Analysis powered by Sirius
Get into MBSE-MBSA process with a dedicated toolchain
Get into MBSE-MBSA process with a dedicated toolchain
Générez automatiquement vos diagrammes d'architecture | Webinaire Obeo SmartEA
Générez automatiquement vos diagrammes d'architecture | Webinaire Obeo SmartEA
Capella (once again) in space, meeting nanosatellites
Capella (once again) in space, meeting nanosatellites
Identifier et suivre les applications à risque pour des processus métier | We...
Identifier et suivre les applications à risque pour des processus métier | We...
Recently uploaded
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Data Driven Maintenance | UReason Webinar
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
cnn.pptx Convolutional neural network used for image classication
Convolutional Neural Network used for image classification
BRAIN TUMOR DETECTION for seminar ppt.pdf
BRAIN TUMOR DETECTION
AND CLASSIFICATION USING
ARTIFICIAL INTELLIGENCE
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
An improved modulation technique suitable for a three level flying capacitor ...
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
artificial intelligence and data science contents.pptx
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Design and optimization of ion propulsion drone
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Recently uploaded (20)
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Data Control Language.pptx Data Control Language.pptx
Data Control Language.pptx Data Control Language.pptx
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
artificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptx
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Using Capella on a Brazilian Nanosat Project
- 1. NANOSATC-BR3 CONCEPT DESIGN USING MODEL-BASED SYSTEMS ENGINEERING (MBSE) Giulia Ribeiro Herdies*, Nelson Jorge Schuch** and Eduardo Escobar Bürger*** * Undergraduate student, Aerospace Engineering course, Federal University of Santa Maria - UFSM, Technology Center, Santa Maria - RS, Brazil. giuliaherdies@gmail.com **Senior Researcher, Southern Space Research Coordination – COESU/INPE-MCTI, in collaboration with the Santa Maria Space Science Laboratory - LACESM/CT-UFSM, Santa Maria, RS, Brazil, njschuch@gmail.com. *** Adjunct Professor, Aerospace Engineering course, Federal University of Santa Maria - UFSM, Technology Center, Santa Maria - RS, Brazil. eduardo.burger@ufsm.br
- 2. Table of Contents 01 02 03 NANOSATC-BR program; 04 OBJECTIVE; MODEL-BASED SYSTEM ENGINEERING; CAPELLA - ARCADIA; NCBR3 CONCEPT DESIGN WITH MBSE; NCBR3 MISSION CONCEPT; CONCLUSIONS. DISCUSSION; 05 06 03 08 2
- 3. NANOSATC-BR PROGRAM NANOSATC-BR1 ✓ Magnetometer (INPE/MCTIC), Fault Tolerant FPGA (UFRGS) and IC on/off driver (SMDH/UFSM); ✓ Operational since 2014 NANOSATC-BR2 ✓ Langmuir Probe (INPE/MCTIC), Attitude Determination System (Cooperation INPE/MCTIC with UFMG - UFABC), Other ICs (SMDH and UFRGS) and two magnetometers; ✓ Operational since 2021 01 02 Image: NCBR2 [UFSM/Divulgação] Image: NCBR1 [INPE/Divulgação] 3
- 4. NANOSATC-BR3 Currently in its Conceptual Phase of Development; Objectives: To study Space Radiation, Technology Validation and Capacity building development; Constraint: Reuse and Adapt NCBR1 EM to FM; Main Stakeholders: • National Space Research Institution (INPE) Scientists • Federal University of Rio Grande do Norte (UFRN)/Research Institute in Natal (CRN) • Federal University of Santa Maria (UFSM) and Federal University of Rio Grande do Sul (UFRGS) • Federal University of Santa Maria (UFSM) 03 Image: NCBR3 EM 4
- 5. Mission Objectives • INPE Scientists: INPE Scientists need to validate a space radiation protective material. • UFRN/CRN: The UFRN/CRN technologists need to validate their in-house developed transceiver in space environment. • UFSM and UFRGS: UFSM and UFRGS technicians and Professors need to validate their in-house developed integrated circuits (IC´s) against space radiation. • UFSM: Student Publications. 5
- 6. WHY MBSE? ✓ Easy to understand ✓ Version Control ✓ Traceability ✓ Variety of Stakeholders Needs Management ✓ Interface Requirements Management ✓ Reduce Ambiguous Language ✓ Transition to a Model centric project ✓ For Educational Purposes 6
- 7. OBJECTIVE ✓ Use an MBSE software with an embedded Systems Engineering method to develop a mission concept; 7
- 8. MODEL-BASED SYSTEM ENGINEERING One of its main Goals: Integrate information, communication and the analysis of systems engineering products. Modeling is based on three pillars: • Tool: Concerns to the instrument (usually software) that will be used to develop the work; • Language: Method of communication between the user and the tool (similar to a programming language); • Method: process that sometimes is conveniently embedded in the tool. Tools supporting these concepts “Formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.” - INCOSE SE Vision 2020 8
- 9. CAPELLA - ARCADIA Arcadia is a system engineering method based on the use of models, with a focus on the collaborative definition, evaluation and exploitation of its architecture. ● Integration of all model views ● Open source ● Largely used by space industry ● Four steps of development ● Interactive and recursive method. Figure: The Arcadia Method Source: https://www.eclipse.org/capella/arcadia.html 9
- 10. NCBR3 CONCEPT DESIGN WITH MBSE 10
- 11. NCBR3 CONCEPT DESIGN WITH MBSE Operational Capabilities: • Operational Capabilities (Needs); • Actors (Stakeholders). 11
- 12. NCBR3 CONCEPT DESIGN WITH MBSE Operational Activities Interaction: • Operational Activities; 12
- 13. NCBR3 CONCEPT DESIGN WITH MBSE Operational Architecture: • Operational Activities; • Actors. 13
- 14. NCBR3 CONCEPT DESIGN WITH MBSE System Architecture: • Actors; • System; • System High- Level Functions. 14
- 16. DISCUSSION MBSE main contributions: ✓ Introduce students to system engineering education; ✓ System boundaries and basic functions; ✓ Support to propose a system concept; ✓ Visual tool – unify system understanding ✓ Reduced project paperwork; ✓ Traceability; ✓ Facilitate at the Mission Definition Review. 16
- 17. CONCLUSIONS MBSE: ✓ Is making possible a much more structured mission Phase 0; ✓ Has educational purposes competence; ✓ Consolidates and unifies understanding; ✓ Eases the process of requirement validation. Future Works: • Interviews with different stakeholders; • Further modeling of next layers; • Finalize mission requirements document. 17
- 19. Thanks! Do you have any questions? giuliaherdies@gmail.com Giulia Herdies