Analysis Approach Sample Clauses

Analysis Approach. As previously described, the MAENAD project heavily relies on model-based design and associated techniques to meet the project goals, that is, to provide a comprehensive development framework for the design and development of FEV(s). The core of the project relies on the enhancement of the EAST-ADL modelling language. The language EAST-ADL is a Domain Specific Language, expressly designed with the focus on the automotive electronic systems. The language offers an effective means to capture and transfer information related to an automotive electronic system across the different layers of the supply chain, as well between application engineers, providing a structured set of viewpoints on the overall architecture and the capability for generating others. The language itself doesn’t provide capability for simulation and analysis, but provide means to reference models coming from external tools. Furthermore, a set of plugins and tools built on top of the language will be enhanced or developed as extension points to provide support for the analysis of complex systems, or to provide models transformation capability to create a link with external analysis and simulation tools. The solution of the project for the main goal is focused on different fields of intervention: • Develop capabilities for modelling and analysis support, following ISO 26262, with the main purpose to extend the capability of the EAST-ADL language to support ISO 26262 development process and analysis (FMEA, FTA, risk analysis, ASIL allocation,…). • Develop capabilities for prediction of dependability & performance. • Develop capabilities for design optimization. This includes the support for the selection of optimal FEV architectures, starting from attributes like performance and cost. The objectives of WP6 are derived from the main project objectives, and this report will summarize the activities toward their fulfilment: • O4-1: Evaluation of ability to support ISO 26262 and other standards influencing FEV. • O4-2: Evaluation of dependability & performance analyses. • O4-3: Evaluation of optimization approaches.
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Analysis Approach. To achieve the objectives of the study, the problem was approached from three different angles: statistical analysis of previous landslides, case studies of specific events, and expert opinion pooling. • Statistical analysis of previous landslides: In order to make a quantitative assessment of the hazard and risk posed by landslides, one must develop a semi-empirical model based on statistical analysis of past events. An attempt was made to identify the role of anthropogenic factors in triggering different landslide types in Europe using the available databases. The statistical analyses are presented in Chapter 2. • Expert opinion pooling: A simple questionnaire was sent to landslide experts in Norway, Switzerland and France to summarise their experience and expert judgement on the relative importance of human activities in triggering of landslides. The results are presented in Chapter 3. • Case studies of specific events: Landslides induced by human activity can be simulated using analytical and numerical tools. Such analyses are useful for understanding the events that have happened in the past or those which can be provoked by similar changes in boundary conditions. The specific case studies are presented in Chapter 4.
Sample 1
Analysis Approach. The ICO will be provided with regular fieldwork updates throughout the project, including weekly fieldwork updates while the project is in field. In addition, we will produce headline findings mid-way through the fieldwork to indicate the results of the research. This additionally enables us to identify any vast differences in results from previous waves of the research. A full summary report will delivered to the ICO, after which a feedback call will be scheduled with both teams to ensure full and comprehensive feedback is implemented before the final analytical report is delivered. This means that analysis happens throughout the project – from proposal writing through to the delivery of the final report. Ideas are shared within the ComRes team in brainstorms and formal meetings, and with colleagues at the Information Commissioner’s Office, bringing their own detailed knowledge of the landscape. ComRes also guarantees painstaking attention to detail. All data outputs are thoroughly figure checked by a trained member of staff from outside the project team to ensure that the correct figures are being reported. This extends to any secondary data, such as references to other relevant publications. Strategic, sectoral oversight Background research, kick-off meetings and client conference calls ensure that the team analysing the research has a full understanding of the ICO’s business objectives. This objective-driven approach to analysis ensures that findings are relevant, useful and clearly reported. The research has multiple different audiences, and our aim is to deliver clear information to each one. Statistics mean nothing without context. ComRes reports present all results in context – not just contrasting them with previous surveys, but explaining the legislative landscape and recent trends that relate to the data reported. Training in secondary research techniques is given to all new hires at ComRes so that projects can be grounded in thorough understanding of the sector. This is particularly important when dealing with clients like the ICO, which deals with complex legislation with widespread socio-political impacts. Much of the additional value that XxxXxx brings to a project depends on our thorough understanding of the underlying context – informing design, analysis, and ultimately a rewarding experience for our clients. Key audiences The Information Commissioner’s Office requires findings to be displayed for a range of key audiences, including: Age; ...
Sample 1

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