The internet is expected to ultimately interconnect billions of people and trillions of devices. Over recent years, ‘web-of-objects’ and ‘internet-of-things’ initiatives have emerged, primarily aimed at machine-to-machine or device-to-device interactions using standard communications protocols. As yet, their rate of...
Creation of a methodological framework for early verification and validation of evolutionary software products through the accredited and certified integration of each component during every iteration in an incremental model-driven engineering (mde) context.
Environmental, economic and sustainability challenges of continuously increasing energy consumption are present all over the world. Meeting the challenges requires crossindustry cooperation and the means for consumers to influence their energy consumption in terms of the quantity and type of energy consumed. The seas...
The success or failure of applications and services is greatly determined by user experience (ux). While careful ux design has proven beneficial, it is surprising how little effort has been made to measure and respond to user experience after deploying the application. This project aims to achieve better user...
The smart m2m grids project is focused on creating enablers for a dynamic cyber-physical information business ecosystem connecting the physical world with the business processes of companies in real-time. The first goal is to connect physical world sensors, actuators and various embedded devices and machines (physical...
Cyberfactory#1 aims at designing, developing, integrating and demonstrating a set of key enabling capabilities to foster optimisation and resilience of the factories of the future (fof). It will address the needs of pilots from transportation, automotive, electronics and machine manufacturing industries around use...
Recent advances in technology, from wireless sensor networks to big data processing and analysis, are changing our cities radically. Urban policymaking is a fundamental aspect of such transformation and can benefit from these emerging technologies with new supporting tools and an optimised processes. The polder...
Manufacturing is undergoing immense yet gradual industry 4.0 transformation with the help of advancements including predictive maintenance. Smart-pdm’s objective is to acquire manufacturing data to provide diagnosis and prognosis information while rendering the underlying technology financially feasible. This will...
The purpose of sdhdmp is to develop an ecosystem that will allow standardisation across sensor-based data. This can only be achieved collaboratively with the multinational involvement of partners from diverse industries including semi-conductor manufacturers, wearable device developers, sw application developers, data...
Please fill the abstract