Overall Model Sample Clauses
The "Overall Model" clause defines the general framework or structure that governs the relationship or arrangement described in the agreement. It typically outlines the key components, roles, and responsibilities of the parties, and may specify how different parts of the agreement interact or are prioritized. For example, it might clarify whether certain schedules or annexes take precedence, or how the parties are expected to collaborate within the defined model. The core function of this clause is to provide a clear, overarching structure that ensures all parties understand the foundational rules and how the agreement operates as a whole, thereby reducing ambiguity and potential disputes.
Overall Model. Figure 9 provides a package structure overview of the expected EAST-ADL modelling elements for the braking system architecture, as well as its associated requirements, variability and other non- functional constraints (e.g., timing and dependability), and verification&validation (V&V) cases. The SystemModel (within the 0_TopPackage) contains the entire braking electrical/electronic system architecture, for which specifications at various abstraction levels are applied. Figure 10 provides a graphical representation of this multi-level braking electrical/electronic system specification and its related environment model (EnvironmentBBW). Figure 10: The braking electrical/electronic system and its environment EAST-ADL supports requirements, V&V cases, and the annotations of variability and other non- functional constraints through separate modeling packages shown in Error! Reference source not found.. (Such extension packages are contained in the EAST-ADLExtensionElements package in Error! Reference source not found.). A requirement model specifies the conditions or capabilities that must be met or possessed by a system or its component. In a model-based approach, requirements are derived, refined, mapped, validated and verified along with the progress of system design. The specifications of variability and other non-functional constraints augment the multi-level system architecture specification with analytical information (e.g. timing, reliability, and safety integrity) for early quality predictions and contract declarations. Normally, an analytical model should have its level of abstraction according to its target artefacts.
Overall Model. The best fitting overall model contained elements from each category of covariates, which included ground-based measurements up to remotely sensed data. The residu- als showed no evidence of spatial autocorrelation, indicating that a more sophisticated model taking into account the spatial locations of the sites was not necessary for our analysis. It is noteworthy that the semivariance of the residuals in Accra was greater than the semivariance in ▇▇▇▇▇▇▇, which indicated larger variability in the residuals of sites located in Greater Accra compared to ▇▇▇▇▇▇▇. The map of the predicted probability of M. ulcerans presence suggests more discordance between model predic- tion and observed outcomes in Greater Accra compared to ▇▇▇▇▇▇▇. Such discordant sites provide an opportunity for further investigation at specific spatial locations. My- cobacterium ulcerans negative sites with a high predicted probability of being positive could be re-sampled to verify the negative result, and M. ulcerans positive sites with a low predicted probability of being positive could be re-examined for unobserved covariates that may explain positive results.