Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.1.6 | Award Amount: 6.87M | Year: 2011
Offering collective and participative experiences to real-world and online communities is at the heart of the Future Media Internet (FMI) and will form an essential part of entertainment, education, collaborative working, product and service innovation and advertising. Communities involved potentially include hundreds of professionals, tens of thousands at live public events and millions online. Current FIRE testbeds fail to meet needs of FMI researchers in terms of testbed resources, let alone support such experimentation in the real-world where insights into the behaviour of Future Internet systems are closer to reality. Extensive research into testbeds is needed to support the R&D of large-scale social and networked media systems as well as to understand and manage complex communities and ecosystems.\nEXPERIMEDIA will develop and operate a unique facility that offers researchers what they need for large-scale FMI experiments. Testbed technologies will include user-generated high quality content management and delivery, a 3D Internet platform and tools for 3D reconstruction from live events, augmented reality platform, tools for integration of social networks, access technologies and a range of network connectivity options. Testbed management services will provision, control and monitor resources according to SLAs thus offering QoS guarantees.\nExperiments will be conducted in the real-world at live events and to diverse communities to accelerate the adoption of FMI. Testbeds include the Schladming Ski Resort, the Multi-Sport High Performance Centre of Catalonia, historical sites provided by the Foundation for the Hellenic World and the 3D Innovation Living Lab. Experiments will explore new forms of social interaction and rich media experiences considering the demands of online and real-world communities. The variety of testbeds will ensure the generality of our approach. A Future Media Internet Competence Centre will promote sustainable access to venues for FMI experiments and engagement with the wider community.
Agency: European Commission | Branch: FP7 | Program: JTI-CP-ARTEMIS | Phase: SP1-JTI-ARTEMIS-2012-AIPP6;SP1-JTI-ARTEMIS-2012-AIPP4 | Award Amount: 67.54M | Year: 2013
Our society is facing both energy and competitiveness challenges. These challenges are tightly linked and require new dynamic interactions between energy producers and energy consumers, between machines, between systems, between people and systems, etc. Cooperative automation is the key for these dynamic interactions and is enabled by the technology developed around the Internet of Things and Service Oriented Architectures. The objective of the Arrowhead project is to address the technical and applicative challenges associated to cooperative automation: -Provide a technical framework adapted in terms of functions and performances, -Propose solutions for integration with legacy systems, -Implement and evaluate the cooperative automation through real experimentations in applicative domains: electro-mobility, smart buildings, infrastructures and smart cities, industrial production, energy production and energy virtual market, -Point out the accessible innovations thanks to new services, -Lead the way to further standardization work. The strategy adopted in the project has four major dimensions: -An innovation strategy based on business and technology gap analysis paired with a market implementation strategy based on end users priorities and long term technology strategies -Application pilots where technology demonstrations in real working environments will be made -A technology framework enabling collaborative automation and closing innovation critical technology gaps -An innovation coordination methodology for complex innovation orchestration Date of approval by the ECSEL JU: 23/07/2015
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: INSO-2-2014 | Award Amount: 3.10M | Year: 2015
Reaching the ambitions of the Europe 2020 and the Innovation Union requires much more than just technological innovations. In the academic community, Business Model Innovation (BMI) has for a long time been recognized as the key to improved competitiveness and innovativeness. However, BMI does not reach SMEs yet nor is there knowledge on how SMEs conduct BMI in practice. Empowering SMEs to conduct BMI requires new approaches. By leveraging existing networks and communities, we will gather examples, best practices and insights into Business Models (BM) from case studies from each and every European region or industry, complemented with insights from other leading countries worldwide. The BM vortex will thus generate an enormous and rich library of business models patterns and managerial structures, provided on a platform, to support SMEs in these communities. We will also develop innovative tooling and provide them on the platform to makes it easy for SMEs to develop, evaluate and plan new business models. The ENVISION consortium covers Northern, Western, Central, Eastern and Southern Europe. In each region a top-ranked academic institution in the field of BMI is present as well as innovative businesses that deliver smart and tailored BMI tooling and reach out to SMEs. We build on over a decade of joint work on BMI and BM tooling. We will build and maintain regional and thematic communities. In the communities, support is delivered to help SMEs transform and improve their BMs. The consortium also includes partners and associated partners that will realize our pan-European reach to SMEs: on a pan-European level (e.g., UAEPME and female entrepreneurs network), on a national and regional level (e.g., chambers of commerce, family business organizations and statistical offices). The consortium also has linkages to EIT/ICT Labs and the European Service Innovation Centre (ESIC).
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FoF-04-2014 | Award Amount: 7.92M | Year: 2014
It is the high ambition of the project to create FACTorieS for WORKERS (FACTS4WORKERS), therefore a serious effort will be put into integrating already available IT enablers into a seamless & flexible Smart Factory infrastructure based on worker-centric and data-driven technology building blocks. As FACTS4WORKERS is underpinned by a clear human-centric approach: usability, user experience and technology acceptance are of the utmost project interest. FACTS4WORKERS will develop and demonstrate workplace solutions that support the inclusion of increasing elements of knowledge work on the factory floor. These solutions will empower workers on the shop floor with smart factory ICT infrastructure. Advancement will be gained through integrating several building blocks from a flexible smart factory infrastructure, focusing on workers needs, expectations and requirements, and being supported by organisational measures and change management. In line with our assumptions on impacts on productivity we therefore estimate that that we can increase job satisfaction for 800,000 European workers by the year 2025. These solutions will be developed according to the following four industrial challenges which are generalise-able to manufacturing in general: personalised augmented operator (IC1), worked-centric rich-media knowledge sharing/management (IC2), self-learning manufacturing workplaces (IC3) and in-situ mobile learning in the production (IC4). Moreover, FACT4WORKERs objectives in terms of measureable indicators are: To increase problem-solving and innovation skills of workers; To increase cognitive job satisfaction of workers; To increase average worker productivity by 10%; To achieve TRL 5-7 on a number of worker-centric solutions through which workers become the smart element in smart factories The smart factory demonstrator will be run within the automotive supply chain. The consortium is composed by 15 partners from 7 different EU member states.
Marneanu I.,University of Graz |
Ebner M.,University of Graz |
International Journal of Interactive Mobile Technologies | Year: 2014
Augmented Reality (AR) is the evolution of the concept of Virtual Reality (VR). Its goal is to enhance a person's perception of the surrounding world. AR is a fast growing state of the art technology and a variety of implementation tools thereof exist today. Due to the heterogeneity of available technologies, the choice of the appropriate framework for a mobile application is difficult to make. These frameworks implement different tracking techniques and have to provide support to various constraints. This publication aims to point out that the choice of the appropriate framework depends on the context of the app to be developed. As expected, it is accurate that no framework is entirely the best, but rather that each exhibits strong and weak points. Our results demonstrate that given a set of constraints, one framework can outperform others. We anticipate our research to be the starting point for testing of other frameworks, given various constraints. The frameworks evaluated here are opensource or have been purchased under Academic License.