The effectiveness of the SMAC platform needs to be evaluated from the end-users perspective, including both component/sub-system developers and system integrators.

First, the validity of the models created in the SMAC project has to be assessed. Model extraction is usually run in a specific context, and post-verification is needed to ensure that a model is capable of predicting the expected behavior over the whole domain of interest, independently of the particular design-of-experiment used for building it. Since the model has to operate in a framework characterized by many parameters of different nature, it must be verified for accuracy and robustness for tentative out-of-bounds trial points, which can be generated by simulation prior to convergence. In addition, the model must be checked for compliance by interfacing its requirements to all the relevant simulators.

Second, the quality and effectiveness of integration-aware components and subsystems has to be assessed. The validation is carried out by establishing a unified design flow in which the integration-aware constraints, the models, and the various design techniques are used together. This is required because the components involved in Smart Systems have very different natures. The validation of the various types of components in isolation does not prove their effectiveness in the larger system context. Design optimizations generated by the SMAC platform will be evaluated against measurements. In addition to the verification against targeted requirements, failure modes will be assessed. The robustness of the designed components and sub-systems under various input conditions is established. For energy harvesters, the predicted resonance frequency, maximum harvested power and force required for maximum energy will be tested. Further tests include the performance of an integrated antenna matching circuit under various antenna loading conditions. The important performance parameters that will be measured include the tuning range, power consumption of the RF power amplifier (with antenna matched versus unmatched), insertion loss, return loss, matching bandwidth and linearity of the tuning elements. These evaluations take into account the robustness of the designed components and subsystems under varying input conditions.

Third, the co-simulation platform itself needs to be validated. The focus will be on techniques for processing, correlating, combining and aggregating information from multiple sources required by the integration of inter-disciplinary knowledge due to multi-layer/multi-scale and multi-domain physical interactions. This involves evaluating the compliance of the SMAC platform with the project objectives and detailed requirements after implementing the methods and techniques developed in the project. Specific attention is given to the integration of network, digital hardware and firmware simulators into the SMAC co-simulation software platform. The evaluation will show that the new platform is suitable for multi-physic interactions at system level, including the interlayer interactions and that it facilitates “system of system” integration.

Fourth, using the SMAC platform, two main demonstrators are being designed alongside many test cases.

The first application is wearable sensing equipment for reliable drift-free limb tracking , based on a set of MEMS inertial sensors.

The second application is a laser pico-projector including micro electromechanical actuators and control logic circuitry. The pico-projector design requires modelling physical effects spanning from optics to microfluidics of the moving parts. The following paragraphs describe each of these two systems in detail.