Traceability for Verification and Validation in Autonomous Driving
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On April 29th the Software Demonstrator TRACY for realizing traceability with the two publicly funded projects SET Level and V&V Methods is presented. Traceability is key for assuring functional safety in simulation-based engineering and testing. But when realizing traceability, additional benefits can be offered to user for easing their daily business, assuring quality and compliance etc.
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![Simulation-based Engineering and Testing
Motivation & Needs
Assure Compliance
• distill & store
information
• support processes
• revision safety
Handle Complexity
• impact
• maturity
• tracking & steering
• changes
Driving Efficiency
• search & reuse
• front-loading
• automation
• collaboration
Safeguard Quality
• right information,
in time etc.
• consistency
• completeness
Traceability
“relating artifacts”
[ISO 10007, 24765 etc.]
Slide 2 - Vettermann, Bühler, Steinkirchner - PROSTEP](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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During the first step, Matlab is used to estimate aerodynamic loads applied to the wing when as a function of flight parameters: air flow speed, angle of attack of the wing and aileron deflection angles. A Design of Experiment (DoE) is built by varying the flight parameters in order to cover all the flight domain of the UAV.
The aerodynamic loads thus obtained are then injected into OptiStruct to estimate Tsai-Wu failure criteria for the composite material. An efficient surrogate model is then built from the obtained Tasi-Wu criteria and covers the entire flight domain. Finally to conclude this first part, a failure probability , based on Tsai-Wu criteria, is estimated using the produced surrogate model.
In the second step the following optimization problem is defined using some design variables of the wing (essentially thicknesses of composite layers of the wing):
Wing Mass is calculated by Optistruct, and being evaluated using the step1. An evolutionary algorithm implemented into Dakota is used to perform this surrogate-model -
based optimization.
The set up, parameterization and automation of this complex simulation workflow is facilitated and achieved through the use of the BUILDERTM platform. The combination of different software at different levels of the workflow is also made accessible by the use of BUILDERTM.
Speakers
Samir Ben Chaabane, Numerical Simulation Manager for EMEA, SILKAN S.A
RCOS Fall 2010 Presentation 2
A brief talk describing the approach I have taken with the Open Legislation Platform and giving brief demo of the prototype.
Towards the end I outline some of the steps to the future.
Derivación y aplicación de un Modelo de Estimación de Costos para la Ingenier...
Derivación y aplicación de un Modelo de Estimación de Costos para la Ingenier...Academia de Ingeniería de México
The document discusses cost estimation for systems engineering projects. It introduces the COSYSMO cost model, which estimates systems engineering effort as a function of project size, complexity factors, and environment factors. The model accounts for things like requirements, interfaces, algorithms, and scenarios to determine size, then applies multipliers for risk, team cohesion, and other complexity factors. The document provides details on calibrating the model for different organizations and examples of applying it to estimate effort for a sample project.DATA @ NFLX (Tableau Conference 2014 Presentation)
I presented this at a 2014 Tableau Conference session with Albert Wong.
Netflix relies on data to make decisions ranging from buying and recommending content, to improving the streaming experience on devices.
This presentation shares our Big Data analytics architecture and the tools used to make data accessible throughout our business, focusing on how Tableau fits into our organization and why it aligns well with our culture.
[SiriusCon 2020] Realization of Model-Based Safety Analysis and Integration w...
The importance of mission or safety-critical software systems in many application domains of embedded systems is continuously growing, and so is the effort and complexity for reliability and safety analysis. Model-based system engineering (MBSE) is currently one of the key approaches to cope with increasing system complexity.
With Component Fault Trees (CFTs) there is a model- and component-based methodology for safety analysis, which extends the advantages of model-based development to safety & reliability engineering. In this talk, we demonstrate how to ease the development of safety-critical systems by implementing a graphical modeling tool for Component Fault Trees using Sirius and integrate safety analysis capabilities in a model-based system engineering workflow in Capella.
Speaker :
Mark Zeller, Siemens CT
Marc Zeller works as a Senior Key Expert for model-based safety and reliability engineering at Siemens Corporate Technology. His research interests are focused on the efficient and effective development of dependability-relevant Cyber-physical Systems using model-based engineering techniques. Marc Zeller received a diploma in Computer Science from the Karlsruhe Institute of Technology (KIT) in 2007 and obtained a PhD in Computer Science from the University of Augsburg in 2013. With over 10-years' experience in different industrial domains, such as automotive, railway, avionics, or industry automations, he has been involved in various projects establishing model-based engineering techniques and is author of many publications in this area.
Brian muirhead v1-27-12
The document discusses systems engineering challenges and opportunities, including:
1) Growing mission complexity is exceeding our ability to manage risk, and system designs emerge from pieces rather than sound architectures, resulting in brittle systems.
2) Technical and programmatic sides of projects are poorly coupled, hampering decision making and increasing risk.
3) Too much focus on process comes at the expense of design quality, driving up costs and risk.
The document proposes addressing these with model-based systems engineering, architecture frameworks, and integrating technical and programmatic considerations through architecture.
Deep learning in manufacturing predicting and preventing manufacturing defect...
Deep learning in manufacturing predicting and preventing manufacturing defect...WMG centre High Value Manufacturing Catapult
The document discusses using deep learning and artificial intelligence to predict and prevent manufacturing defects. It presents a framework that uses CAE simulation and deep learning to model the relationship between input control parameters and output system responses for multi-stage production systems. This enables intelligent root cause analysis of defects by estimating input parameters given an output. The approach aims to solve challenges like high dimensionality, data uncertainty, and model transferability. Software called Deep Learning for Manufacturing is presented that implements solutions like adaptive sampling and 3D CNNs to address these challenges. Potential competitive advantages include improved quality, productivity, and reduced costs through increased root cause analysis capabilities.towards a model-based framework for development of engineering1 (1)
This document proposes a model-based framework for developing engineering tool-chains that support cyber-physical systems modeling and simulation. It presents the SPIT framework, which takes a systems approach to support MBSE tool-chain development. The framework addresses functionalities of MBSE tool-chains from a systems engineering perspective. Demo tool-chains are developed to support co-simulation of CPS using MBSE. Future work includes extending tool integration languages to formalize co-simulation tool-chains and analyzing the functional dynamics of MBSE enterprise transitioning.
Validation gaining confidence in simulation Darre Odeleye CEng MIMechE
This document summarizes a presentation on gaining confidence in simulation models through validation. It discusses:
- The importance of distinguishing between verification and validation of simulation components, with validation determining how accurately a model represents reality.
- Validation is important for generating credibility for decision makers from a program office perspective.
- A variety of techniques can be used to validate models, including comparing simulation results to experimental data from physical tests and controlled test environments.
- Sensitivity analysis and parametric studies can help identify influential factors and validate input data.
- Comparing components of the simulation process and conducting validation studies increases confidence in simulation for improving quality, reducing costs, and accelerating delivery timelines.
Hands-on monitoring with Prometheus
Monitoring cloud native apps creates a whole new set of challenges that traditional monitoring systems struggle with. In this Workshop, Brice Fernandes from Weaveworks will take you through installing and using the open source Prometheus monitoring toolkit to monitor a Kubernetes cluster. You do not need any previous experience with Kubernetes or Prometheus. After this talk, you'll be able to set up a development kubernetes cluster and use Prometheus to monitor your microservices. We'll cover: An introduction to Kubernetes to manage containers; The monitoring maturity model; An overview of whitebox and blackbox monitoring; Monitoring with Prometheus; Using PromQL (the Prometheus Query Language) to monitor your app in a dynamic system.
Den Datenschatz heben und Zeit- und Energieeffizienz steigern: Mathematik und...
1. The document discusses how MATLAB can be used to analyze large amounts of industrial data (i.e. big data) and optimize complex systems through modeling and simulation.
2. It provides an example of how a steel manufacturer used MATLAB to automatically optimize its production schedule, reducing development time by a factor of 10.
3. MATLAB allows rapid prototyping of algorithms on desktop computers and scaling to larger clusters or cloud environments as needed. This enables effective analysis of big data.
Zander diss
This dissertation proposes a model-based testing approach for real-time embedded systems in the automotive domain. It develops a test framework called MiLEST that allows specifying tests at the model level based on system models. The approach identifies signal features that can be used to abstractly describe test inputs. It addresses testing of both discrete and continuous signals to cover the hybrid behavior of embedded systems. Case studies on adaptive cruise control systems demonstrate the approach and show quality improvements over traditional testing methods.
Saving resources with simulation webinar 092011
IBM Rational Rhapsody provides solutions to help reduce costs and risks when developing complex products and systems. It allows for early validation and verification of designs through model-based simulation and testing. This helps find defects earlier in the development process when they are cheaper to fix. Rational Rhapsody also improves collaboration, requirements management, and automation of testing.
Data Mining 2008
This document provides an overview and agenda for a session on SQL Server 2008 Data Mining. It discusses the objectives of understanding and learning the core functionality of SQL Server 2008 Data Mining. The session will examine what data mining is, compare cubes to data mining, demonstrate the data mining lifecycle process, and showcase new functionality in SQL Server 2008 such as improved time series algorithms and cross-validation capabilities. Data mining in SQL Server 2008 can leverage familiar Excel 2007 tools and supports the full data mining cycle from data understanding to deployment.
Sip@iPLM 2016
The document discusses the Standard Interoperability PLM (SIP) project. The SIP project aims to:
1. Develop a methodology and associated testing platform for PLM standards.
2. Create an open community and shared knowledge base around PLM standards.
3. Validate the methodology on real business cases through experimentation.
The SIP project has yielded positive results including validation on a business case with Dassault Aviation, a simulation and testing environment, and an open community. Going forward, the project will focus on applying the methodology to other processes, standards, and defining recommended practices.
Processing Large Datasets for ADAS Applications using Apache Spark
Semantic segmentation is the classification of every pixel in an image/video. The segmentation partitions a digital image into multiple objects to simplify/change the representation of the image into something that is more meaningful and easier to analyze [1][2]. The technique has a wide variety of applications ranging from perception in autonomous driving scenarios to cancer cell segmentation for medical diagnosis.
Exponential growth in the datasets that require such segmentation is driven by improvements in the accuracy and quality of the sensors generating the data extending to 3D point cloud data. This growth is further compounded by exponential advances in cloud technologies enabling the storage and compute available for such applications. The need for semantically segmented datasets is a key requirement to improve the accuracy of inference engines that are built upon them.
Streamlining the accuracy and efficiency of these systems directly affects the value of the business outcome for organizations that are developing such functionalities as a part of their AI strategy.
This presentation details workflows for labeling, preprocessing, modeling, and evaluating performance/accuracy. Scientists and engineers leverage domain-specific features/tools that support the entire workflow from labeling the ground truth, handling data from a wide variety of sources/formats, developing models and finally deploying these models. Users can scale their deployments optimally on GPU-based cloud infrastructure to build accelerated training and inference pipelines while working with big datasets. These environments are optimized for engineers to develop such functionality with ease and then scale against large datasets with Spark-based clusters on the cloud.
STS _ Test Leadership Forum 2015
This document provides an agenda for the GAIN Superior Business and Technical Insight Through Strategic Collaboration conference taking place August 3-4, 2015 in Austin, Texas. The agenda includes keynote speeches, panel discussions, and breakout sessions on aerospace, automotive, and semiconductor topics. Attendees can network and learn about novel test strategies, reducing costs, and how new technologies impact various industries.
Automated Requirements-Based Testing for Medical Device Software
This presentation shares expertise and insight on Automated Requirements-Based Testing for Medical Device Software:
• ISO 26262 SW Verification Phases
• Requirements Verification Method
• Deriving Test Cases from Requirements
• Requirements Based Testing (RBT)
• Manual Test Generation
• So…How to Automate?
• Generation from Requirements
• Generation from Code
• Why use Coverage & Traceability?
For more information, please refer to: https://www.qa-systems.com/
Similar to Traceability for Verification and Validation in Autonomous Driving (20)
An Approach for cloud-based Situational Analysis for factories providing real...
An Approach for cloud-based Situational Analysis for factories providing real...
Surrogate Model-Based Reliability Analysis of Composite UAV Wing facilitation...
Surrogate Model-Based Reliability Analysis of Composite UAV Wing facilitation...
Derivación y aplicación de un Modelo de Estimación de Costos para la Ingenier...
Derivación y aplicación de un Modelo de Estimación de Costos para la Ingenier...
DATA @ NFLX (Tableau Conference 2014 Presentation)
DATA @ NFLX (Tableau Conference 2014 Presentation)
[SiriusCon 2020] Realization of Model-Based Safety Analysis and Integration w...
[SiriusCon 2020] Realization of Model-Based Safety Analysis and Integration w...
Deep learning in manufacturing predicting and preventing manufacturing defect...
Deep learning in manufacturing predicting and preventing manufacturing defect...
towards a model-based framework for development of engineering1 (1)
towards a model-based framework for development of engineering1 (1)
Validation gaining confidence in simulation Darre Odeleye CEng MIMechE
Validation gaining confidence in simulation Darre Odeleye CEng MIMechE
Den Datenschatz heben und Zeit- und Energieeffizienz steigern: Mathematik und...
Den Datenschatz heben und Zeit- und Energieeffizienz steigern: Mathematik und...
Processing Large Datasets for ADAS Applications using Apache Spark
Processing Large Datasets for ADAS Applications using Apache Spark
Automated Requirements-Based Testing for Medical Device Software
Automated Requirements-Based Testing for Medical Device Software
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一比一原版(Columbia文凭证书)哥伦比亚大学毕业证如何办理
一模一样【微信：176555708】【(Columbia文凭证书)哥伦比亚大学毕业证成绩单Offer】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
AadiShakti Projects ( Asp Cranes ) Raipur
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At ASP Cranes, we understand the importance of reliable and efficient crane operations in various industries, from construction and manufacturing to logistics and infrastructure development. That's why we strive to deliver top-notch solutions that enhance productivity, safety, and cost-effectiveness for our clients.
Our services include:
Crane Rental: Whether you need a crawler crane for heavy lifting or a hydraulic crane for versatile operations, we have a diverse fleet of well-maintained cranes available for rent. Our rental options are flexible and can be customized to suit your project requirements.
Crane Sales: Looking to invest in a crane for your business? We offer a wide selection of new and used cranes from leading manufacturers, ensuring you find the perfect equipment to match your needs and budget.
Crane Maintenance and Repair: To ensure optimal performance and safety, regular maintenance and timely repairs are essential for cranes. Our team of skilled technicians provides comprehensive maintenance and repair services to keep your equipment running smoothly and minimize downtime.
Crane Operator Training: Proper training is crucial for safe and efficient crane operation. We offer specialized training programs conducted by certified instructors to equip operators with the skills and knowledge they need to handle cranes effectively.
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Catalytic Converter theft prevention - NYC.pptx
Understanding Catalytic Converter Theft:
What is a Catalytic Converter?: Learn about the function of catalytic converters in vehicles and why they are targeted by thieves.
Why are They Stolen?: Discover the valuable metals inside catalytic converters (such as platinum, palladium, and rhodium) that make them attractive to criminals.
Steps to Prevent Catalytic Converter Theft:
Parking Strategies: Tips on where and how to park your vehicle to reduce the risk of theft, such as parking in well-lit areas or secure garages.
Protective Devices: Overview of various anti-theft devices available, including catalytic converter locks, shields, and alarms.
Etching and Marking: The benefits of etching your vehicle’s VIN on the catalytic converter or using a catalytic converter marking kit to make it traceable and less appealing to thieves.
Surveillance and Monitoring: Recommendations for using security cameras and motion-sensor lights to deter thieves.
Statistics and Insights:
Theft Rates by Borough: Analysis of data to determine which borough in NYC experiences the highest rate of catalytic converter thefts.
Recent Trends: Current trends and patterns in catalytic converter thefts to help you stay aware of emerging hotspots and tactics used by thieves.
Benefits of This Presentation:
Awareness: Increase your awareness about catalytic converter theft and its impact on vehicle owners.
Practical Tips: Gain actionable insights and tips to effectively prevent catalytic converter theft.
Local Insights: Understand the specific risks in different NYC boroughs, helping you take targeted preventive measures.
This presentation aims to equip you with the knowledge and tools needed to protect your vehicle from catalytic converter theft, ensuring you are prepared and proactive in safeguarding your property.
快速办理(napier毕业证书)英国龙比亚大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(napier毕业证书)英国龙比亚大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
What do the symbols on vehicle dashboard mean?
Ever been troubled by the blinking sign and didn’t know what to do?
Here’s a handy guide to dashboard symbols so that you’ll never be confused again!
Save them for later and save the trouble!
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EV Charging at Multifamily Properties by Kevin Donnelly
Kevin Donnelly gave this presentation at the Forth Addressing The Challenges of Charging at Multi-Family Housing webinar on June 11, 2024.
Hand Gesture Control Robotic Arm using image processing.pptx
Hand Gesture Control Robotic Arm using image processing
一比一原版(WashU文凭证书)圣路易斯华盛顿大学毕业证如何办理
一模一样【微信：176555708】【(WashU文凭证书)圣路易斯华盛顿大学毕业证成绩单Offer】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
原版制作(Exeter毕业证书)埃克塞特大学毕业证完成信一模一样
学校原件一模一样【微信：741003700 】《(Exeter毕业证书)埃克塞特大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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Traceability for Verification and Validation in Autonomous Driving
- 1. Simulation-based Engineering and Testing Traceability Software Demonstrator TRACY Dr. Steven Vettermann, Dr. Christian Bühler, Kim Steinkirchner 29 April 2021
- 2. Simulation-based Engineering and Testing Motivation & Needs Assure Compliance • distill & store information • support processes • revision safety Handle Complexity • impact • maturity • tracking & steering • changes Driving Efficiency • search & reuse • front-loading • automation • collaboration Safeguard Quality • right information, in time etc. • consistency • completeness Traceability “relating artifacts” [ISO 10007, 24765 etc.] Slide 2 - Vettermann, Bühler, Steinkirchner - PROSTEP
- 3. Simulation-based Engineering and Testing Traceability in SET Level Context Slide 3 - Vettermann, Bühler, Steinkirchner - PROSTEP Processes & Formats Use Cases Methods
- 4. Simulation-based Engineering and Testing Traceability Cookbook Slide 4 - Vettermann, Bühler, Steinkirchner - PROSTEP Derive an agreed stack of methods, add a consolidated process and flavor the result with mature know-how. Put everything on an integration platform, link artifacts in diverse sources systems, and network artifacts.
- 5. Simulation-based Engineering and Testing PROSTEP’s neutral web-based software provided to SET Level and VV Methods • Support Engineering & Testing of safety-critical systems • completeness, correctness, safety • Realize a powerful but thin layer on-top of the relevant systems TRACY reduces complexity by creating a smart information network over existing systems and data repositories. Smart cross-x linking of artifacts, persisting relationships and rationales, change impact analyses, coverage analyses, project status analyses, reuse of components, automation, neutral data exchange etc. Traceability Software Demonstrator TRACY Slide 5 - Vettermann, Bühler, Steinkirchner - PROSTEP
- 6. Simulation-based Engineering and Testing Impact Analyses TRACY: Modular & Scalable Realization Configuration Management Traceability Change Management Reuse & Efficiency Maturity Collaboration Baselining Quality Improvement Reporting & Certification Slide 6 - Vettermann, Bühler, Steinkirchner - PROSTEP
- 7. Simulation-based Engineering and Testing SRMD … Baselines Traces TRACY: Architecture Thin Web Client SET Level Git Business Logic Meta Data … … Standards Connectors Industry Standards Connectors Direct Connectors … … … … STMD … Integration to other Systems Exchange Slide 7 - Vettermann, Bühler, Steinkirchner - PROSTEP OSLC, REST, JSON, … STMD: Simulation Task Meta Data SRMD: Simulation Resource Meta Data
- 8. Simulation-based Engineering and Testing TRACY: Creating Traceability PROSTEP - Graphic based on SET Level Results Slide 8 - Vettermann, Bühler, Steinkirchner - PROSTEP
- 9. Simulation-based Engineering and Testing Slide 9 - Vettermann, Bühler, Steinkirchner - PROSTEP
- 10. Simulation-based Engineering and Testing Slide 10 - Vettermann, Bühler, Steinkirchner - PROSTEP Simulation-based Engineering and Testing
- 11. Simulation-based Engineering and Testing Slide 11 - Vettermann, Bühler, Steinkirchner - PROSTEP Simulation-based Engineering and Testing
- 12. Simulation-based Engineering and Testing Slide 12 - Vettermann, Bühler, Steinkirchner - PROSTEP Simulation-based Engineering and Testing
- 13. Simulation-based Engineering and Testing Slide 13 - Vettermann, Bühler, Steinkirchner - PROSTEP Simulation-based Engineering and Testing
- 14. Simulation-based Engineering and Testing Slide 14 - Vettermann, Bühler, Steinkirchner - PROSTEP Simulation-based Engineering and Testing
- 15. Simulation-based Engineering and Testing 15 Slide 15 - Vettermann, Bühler, Steinkirchner - PROSTEP Simulation-based Engineering and Testing
- 16. Simulation-based Engineering and Testing Summary Slide 16 - Vettermann, Bühler, Steinkirchner - PROSTEP • TRACY supports Engineering & Testing of safety-critical systems • TRACY follows the Credible Simulation Process and the SET Level Methodology • TRACY forms a smart information network, and thereby realizes traceability • TRACY implements the relevant standards • PROSTEP will transform TRACY into a software product after the project’s end
- 17. ENABLING CREDIBLE SIMULATION Dr. Steven Vettermann steven.vettermann@prostep.com Slide 17 - Vettermann, Bühler, Steinkirchner - PROSTEP Simulation-based Engineering and Testing