Intracom is a Greek group of companies, specialising in computer and defence system software development, as well as development and manufacture of telecommunications and defence equipment and electronics. Its founder and CEO is Socrates Kokkalis. Wikipedia.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FCT-14-2014 | Award Amount: 4.96M | Year: 2015
INSPEC2T projects scope is to develop a sustainable framework for Community Policing that effectively addresses and promotes seamless collaboration between the police and the community. INSPEC2T approach bases its conceptual foundations on EU crime prevention and Member States specific Internal Security Policies, validated research results and best practices from cooperation between police and local, regional and national communities. This is perceived as an origin to apprehend special characteristics, particularities and determinants for trust between all stakeholders. INSPEC2T is focusing on a user-centric design and development approach, and has already mobilized and engaged a critical user group mass, in EU and abroad. With special emphasis on social media, it consolidates and modernizes bidirectional communication of stakeholders, using multi-level anonymity flags and having a clear understanding of acceptability issues. Driven from accommodated transnational and multicultural best practices, it adheres to an approach where social, cultural, legal and ethical dimensions are embedded into core user centric design specifications and implementation procedures. INSPEC2T will be demonstrated and validated in 5 EU cities by a wide range of relevant stakeholders. INSPEC2T engagement and active participation is stimulated through fully dynamic, interactive and immersive training Serious Game applications that empower players to familiarize themselves with the system, gain an intuitive understanding of its functionalities and motivate their engagement in Community Policing activities. Special focus will be given to Community Policing awareness raising activities for both police and citizens. The above activities and associated results, will provide a solid foundation for the evolution of the Next Generation Community Policing roadmap in Europe.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: MG-7.1-2014 | Award Amount: 5.97M | Year: 2015
Transportation sector undergoes a considerable transformation as it enters a new landscape where connectivity is seamless and mobility options and related business models are constantly increasing. Modern transportation systems and services have to mitigate problems emerging from complex mobility environments and intensive use of transport networks including excessive CO2 emissions, high congestion levels and reduced quality of life. Due to the saturation of most urban networks, innovative solutions to the above problems need to be underpinned by collecting, processing and broadcasting an abundance of data from various sensors, systems and service providers. Furthermore, such novel transport systems have to foresee situations in near real time and provide the means for proactive decisions, which in turn will deter problems before they even emerge. Our vision is to provide the required interoperability, adaptability and dynamicity in modern transport systems for a proactive and problem-free transportation system. OPTIMUM will establish a largely scalable, distributed architecture for the management and processing of multisource big-data, enabling continuous monitoring of transportation systems needs and proposing proactive decisions and actions in an (semi-) automatic way. OPTIMUM follows a cognitive approach based on the Observe, Orient, Decide, Act loop of the big data supply chain for continuous situational awareness. OPTIMUMs goals will be achieved by incorporating and advancing state of the art in transport and traffic modeling, travel behavior analysis, sentiment analysis, big data processing, predictive analysis and real-time event-based processing, persuasive technologies and proactive recommenders. The proposed solution will be deployed in real-life pilots in order to realise challenging use cases in the domains of proactive improvement of transport systems quality and efficiency, proactive charging for freight transport and Car2X communication integration.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-15-2016-2017 | Award Amount: 18.70M | Year: 2017
Big Data will have a profound economic and societal impact in the mobility and logistics sector, which is one of the most-used industries in the world contributing to approximately 15% of GDP. Big Data is expected to lead to 500 billion USD in value worldwide in the form of time and fuel savings, and savings of 380 megatons CO2 in mobility and logistics. With freight transport activities projected to increase by 40% in 2030, transforming the current mobility and logistics processes to become significantly more efficient, will have a profound impact. A 10% efficiency improvement may lead to EU cost savings of 100 BEUR. Despite these promises, interestingly only 19 % of EU mobility and logistics companies employ Big Data solutions as part of value creation and business processes. The TransformingTransport project will demonstrate, in a realistic, measurable, and replicable way the transformations that Big Data will bring to the mobility and logistics market. To this end, TransformingTransport, validates the technical and economic viability of Big Data to reshape transport processes and services to significantly increase operational efficiency, deliver improved customer experience, and foster new business models. TransformingTransport will address seven pilot domains of major importance for the mobility and logistics sector in Europe: (1) Smart High-ways, (2) Sustainable Vehicle Fleets, (3) Proactive Rail Infrastructures, (4) Ports as Intelligent Logistics Hubs, (5) Efficient Air Transport, (6) Multi-modal Urban Mobility, (7) Dynamic Supply Chains. The TransformingTransport consortium combines knowledge and solutions of major European ICT and Big Data technology providers together with the competence and experience of key European industry players in the mobility and logistics domain.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: GERI-3-2015 | Award Amount: 2.00M | Year: 2016
EFFORTI is responding to the topic GERI-3-2015, Evaluation of initiatives to promote gender equality in research policy and research organizations in context of Horizon 2020 - Science with and for Society (SWAFS). EFFORTI (Evaluation Framework for Promoting Gender Equality in R&I) seeks to analyse and model the influence of measures to promote gender equality on research and innovation out-puts and on establishing more responsible and responsive RTDI systems. For this purpose, EFFORTI will develop an evaluation framework which enables evaluators, science managers, policy-makers and programme owners to conduct a sound analysis of the research and innovation outputs, outcomes and impacts of gender equality measures across Europe, with a focus on the national level. design a differentiated concept to characterize a variety of policy measures and assess their performance, taking into account the diversity in the national policies as well as in organizational contexts. derive general lessons for evidence-based and thus good policy making in the field of gender equality within the RTDI system. This means that not only progress towards more gender equality in RTDI has been achieved but also that RTDI has been able to benefit from this progress through enhanced scientific outputs and productivity but also through a higher responsiveness to societal needs and challenges. The EFFORTI consortium consist of six partners representing a wide arrange of different institu-tional types, namely contract research organizations (Fraunhofer Society, Joanneum Research), universities (University of Catalunia, University of Aarhus), a NGO (Association of Hungarian Women in Science - NaTE) and a company (Intrasoft S.A.), distributed all over Europe (Germany, Austria, Spain, Denmark, Hungary and Luxembourg).
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: INT-01-2015 | Award Amount: 2.42M | Year: 2016
The EU and the USA have highly-productive, immensely-innovative and excellence-driven research and innovation systems. Acknowledging the particular strengths of each landscape, a balanced transatlantic STI partnership of equals bears great potential and contributes to the ultimate goal of tackling societal challenges and boost economic competitiveness. International cooperation between power nodes results in a constant knowledge exchange and more efficient use of STI investment. BILAT USA 4.0s targeted transatlantic activities work towards: i) Strategic priority setting for EU-US cooperation through identifying emerging STI fields with a high benefit and added value from cooperation, thus providing evidence-based input for policy decision-making ii) Stronger interaction between EU and US researchers through thematic events promoting funding opportunities on both sides and thus strengthening the quality and quantity of partnerships between STI actors in EU MS/AC and the USA iii) Establishing optimal framework conditions through proposing concrete solutions for eliminating cooperation obstacles deriving from researchers and innovators feedback, thus, creating an environment that favors joint solutions for global challenges iv) Enhanced coordination and synergies between different policies through analyzing EU, MS/AC and US programmes and detection of duplications, thus, contributing to a greater coherence, joint ownership and resource efficiency v) Ensuring close synergies with calls launched in H2020 and their int. dimension through screening of US-targeted actions in H2020 and liaising with relevant (ERA) projects to guarantee a consistent information exchange Ensuring sustainability, project activities build on former and liaise with existing initiatives. Relevance and exploitation of project actions will be assured by a close coordination with the EC. The project will pursue a targeted communication connecting the diverse range of EU-US STI stakeholders.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-03-2016 | Award Amount: 3.10M | Year: 2017
The main objective of the project is to design and implement a parameterized, knowledge-based, multi-target food sensitive mini-portable system, with heterogeneous micro-scale photonics for on-the-spot food quality sensing and shelf-life prediction. In particular, the miniaturized smart integrated system will be able to detect food hazards, spoilage (incl. early sign of spoilage) and food fraud through the combined bio-chemical data analysis and additionally will be able to perform food components/additives analysis, food identification and prediction of food shelf-life. The following use case will be addressed during the project: Use case 1: Detection of mycotoxins in various grains and nuts. Aflatoxins detection. A simple, convenient ultraviolet test makes it possible to detect the possible presence of aflatoxin. Use case 2: Detection of early sign of spoilage and spoilage in fruits, vegetables, meat, fish: combined with estimation on product expiration date. Use case 3: Detection of food fraud: Adulteration of alcoholic beverages, oil, milk and meat. 3 sensor devices will be integrated in the miniaturised smart sensor node: i) a MEMS-based near IR spectrometer (950-1900 nm), ii) a UV-VIS spectrometer (450-900 nm) and iii) a micro-camera. Moreover 3 light sources will also be integrated to support the sensing functionality: i) UV-LED, ii) white LED and iii) a miniaturised IR emitter. Smart signal processing of the spectrum images will be performed by an advanced microcontroller, integrated in the sensing device. The data will be communicated to a smartphone device, where the spectroscopy analysis will take place with the help of a cloud-base application connected to a reference database. Advanced detection algorithms will be deployed both in the level of cloud and the smartphone application. PhasmaFOOD system will enable common consumers for on the spot food quality sensing and shelf-life prediction.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FOF-02-2016 | Award Amount: 5.62M | Year: 2016
The productivity of the serial production model is compromised by the need to perform changes in the production equipment that cannot support multiple operations in dynamic environments. Low cost labour is no longer an option for EU manufacturers due to the fast rise of wages and the increasing costs of energy and logistics. Manual tasks cannot be fully automated with a good ratio of cost vs robustness using standard robots due to: high product variability, dedicated process equipment and high cost of maintenance by expert users. The answer to this challenge lays in the creation of production concepts that base their operation on the autonomy and collaboration between production resources. The vision of THOMAS is: to create a dynamically reconfigurable shopfloor utilizing autonomous, mobile dual arm robots that are able to perceive their environment and through reasoning, cooperate with each other and with other production resources including human operators. The objective of THOMAS are to: - Enable mobility on products and resources. Introducing mobile robots able to navigate in the shopfloor and utilize dexterous tooling to perform multiple operations. - Enabling perception of the task and the environment using a) the individual resources and b) collaborative perception by combining sensors of multiple resources - Dynamic balancing of workload. Allowing the resources to communicate over a common network and automatically adjust their behaviour by sharing or reallocating tasks dynamically. - Fast programming and automatic execution of new tasks by a) automatically generating the robot program for new products and b) applying skills over the perceived environment to determine required adaptations - Safe human robot collaboration, eliminating physical barriers, by introducing cognitive abilities that allow the detection of humans and their intentions THOMAS will demonstrate and validate its developments in the automotive and the aeronautics industrial sectors.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-20-2015 | Award Amount: 2.99M | Year: 2016
A key challenge in improving life-long learning, employee flexibility, and skill-matching is the assessment of workplace relevant competencies and the planning of individual learning paths for career development. The aim of this project is to develop a personalised learning environment for career development. The environment will provide assessment of transversal competencies and social capital to highlight learning opportunities for career development. It will combine this with personalised visualisations of potential career paths to inform and guide learners towards realistic and attainable careers. DEVELOP will: - Use social network analysis to assess social capital that has been built among colleagues - Assess transversal competencies such as leadership and collaboration, using game-based assessment techniques combined with social network analysis evidence - Apply AI planning techniques to recommend learning opportunities for career development - Create interfaces for employees and HR to aid both career awareness and talent management within an organisation - Support internal mobility of employees and better skill-matching to increase employee engagement and reduce attrition rates - Consider diverse sources of social network evidence including enterprise social networks, email, and self-reporting tools - Gain end-user trust by providing clear informed consent and transparent data privacy DEVELOP will deliver an adaptive learning environment that dynamically tailors the exploration, comprehension, and planning of learning opportunities and career paths in medium and large companies. It will aid employee learning through reflection on transversal competencies and social capital, as key enablers of career development. DEVELOP will use a close academic-industry collaboration to deliver new tools and methods for learning technology vendors. These tools and methods will be informed by, and evaluated with end-users across ICT and Financial Services.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FoF-05-2014 | Award Amount: 4.92M | Year: 2015
The European manufacturing industry faces new challenges, which are currently not addressed by todays products and systems. Most of the products are still in essence simple in nature, with no capability for adapting to the consumers needs and no integrated methods exist for the holistic acquisition and processing of feedback information emanating from product-services. ICP4Life proposes an integrated, collaborative platform for the design, development and support of product-service systems for SMEs, equipment manufacturers and energy suppliers in order to maximize the impact in the European industry. The proposed platform comprises of three main components. The first component demonstrates a collaborative web-based application for the creation and management of products and services by engineers and designers of multiple disciplines. The second component is a Product-Service configuration tool for customers, enabling the easy and intuitive formation of Products and Services. The same component will be used for managing product related data pertaining to the manufacturer, supplier and the customer. The third component will support the efficient, adaptive and responsive planning and decision making phases, for managing the dynamic operation of the plants and the supply chain. All the components will be compatible with open standards, such as AutomationML, in order to make the most out of and accelerate the adoption by the European industry. The ICP4Life project will address the current needs of todays manufacturers, providing faster design of modular equipment and components, the seamless collaboration of engineers across a wider network of companies as well as within a single company with disperse engineering offices and production sites and the reuse of knowledge regarding both products and processes for new projects or the configuration of existing lines. The ICP4Life consortium consists of highly skilled organizations to ensure the success of this project.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: BES-10-2015 | Award Amount: 4.00M | Year: 2016
The enduring humanitarian crisis in the Middle East, the unrelenting high levels of violence in Afghanistan and new outbursts of violence in South-Sudan have made 2014 another record-breaking year for acts of violence against humanitarian aid workers. In 2000 41 significant attacks on aid workers were recorded across the globe. By 2014, that number had risen to 190. In this 15-year period, over 3,000 aid workers have been killed, injured or kidnapped. Despite the increasing availability of tracking and monitoring technologies, the number of humanitarian workers that fall victim to attacks continues to rise. Clearly, a novel and innovative approach to tracking and decision-making is needed. Information systems for fleet management, GPS for navigation and location or RFID tags for inventory management are just a few of the technologies that have changed the humanitarian operations. Until now, however, there is no integrated decision support system that provides real-time analyses from the data streams that are generated by these technologies. This lack of integrated real-time information prevents an understanding of potentially threatening situations, increases response times and creates insecure communications, all leading to inadequate protection and hampered efficiency and effectiveness. The aim of better protection and more efficient and effective operations can only be achieved by devel-oping technologies along with the policies for their use. GPS, for example, notwithstanding its capability to provide live tracking of vehicles for recovery, cannot prevent an ambush or kidnapping. Technologies therefore need to go hand in hand with procedures and policies in order to provide useful early warnings to decision-makers on the ground as well as decision support for scheduling, navigation, risk management and coordination. Policies, in other words, provide for the essential guidance on how to use the technologies in the field. This project will develop human-centred technologies that take into ac-count actual real-world practices of humanitarian aid workers, and provide policies for better protection and a more effective and efficient response. Based on principles of Privacy by Design, this project will build the iTRACK system, an integrated intelli-gent real-time tracking and threat identification system to improve protection of responders and assets, and provide information management and logistics services such as real-time information updates and analyses as well as navigation, routing and scheduling. iTRACK will achieve this through an interdiscipli-nary, socio-technical approach, which will draw on the latest advances in sensor development, GIS, secu-rity & privacy, artificial intelligence, information management, risk analysis, and humanitarian logistics.