The Institute for Systems and Computer Engineering of Porto is a research & development institute located on the campus of the Faculty of Engineering of the University of Porto . INESC Porto is a private non-profit association, recognised as a Public Interest Institution and has been an Associate Laboratory since 2002. In 2011, the institute proposed a new broader structure for the Associate Laboratory, which was officially recognised by the Ministry of Science as INESC TEC .The purpose of INESC TEC is to act as an interface between the academic world, the world of industry and services and the public administration in Information Technologies, Telecommunications and Electronics . INESC TEC invests in Scientific Research and Technological Development, as well as in Advanced Training and Consulting, Technology Transfer and supports the Establishment of new Technology-based Companies.Present in 6 sites in the cities of Porto, Braga and Vila Real, INESC TEC incorporates 12 R&D Centres and one Associate Unit with complementary competences, always looking to the international market. INESC TEC brings together more than 800 researchers, of which around 300 have PhDs . Wikipedia.
Esteves L.P.,INESC Porto
Cement and Concrete Composites | Year: 2011
Superabsorbent polymers are hydrogels capable of absorbing considerable amounts of water without dissolving, and may have wide application in building materials. They were initially used in the concrete industry with high performance cement-based materials to limit the drop in internal relative humidity during the hydration process of cement. This assures the optimum development of the material properties and avoids both self-desiccation and autogenous shrinkage. The mechanisms involved in the kinetics between the hydrogel and water or pore fluid within the cement-based system are not fully understood. This paper addresses the absorption kinetics of superabsorbent polymers in water and synthetic pore solution. The physical state of particles selected from a superabsorbent polymer sample with a particle size distribution between 50 and 500 micrometers is examined by means of optical microscopy and subsequent image analysis. This method has proven to be an accurate technique for quantifying the absorption of water or fluid into the cross-linked structure of superabsorbent polymers. As a result, the size of the polymers particles has a significant effect on the absorption kinetics of these polyacrylate-based polymers. A model based on the well-known Fick's second law has been found to accurately express the physical or volumetric change within the fluid medium, after a spontaneous fluid uptake, which occurs upon submersion. An extension to this model is proposed to calculate the kinetics of absorption for a given particle size distribution. © 2011 Elsevier Ltd. All rights reserved. Source
Phulpin Y.,INESC Porto
IEEE Transactions on Power Systems | Year: 2012
This letter introduces a communication-free control scheme that allows wind generators connected by an HVDC-link providing inertia and primary frequency control services to the mainland system. The scheme consists of making the offshore and onshore frequency deviations proportional. It relies on frequency regulation at the offshore converter and dc voltage control with power and frequency droops at the onshore converter. This letter provides a mathematical formulation of the system and a discussion on application challenges related to the control scheme. © 2012 IEEE. Source
Agency: Cordis | Branch: H2020 | Program: SGA-CSA | Phase: INNOVATION | Award Amount: 269.40K | Year: 2015
The objective of this project is to contribute to smart growth in the European Union by increasing the efficiency and effectiveness of investments in RD&I and by contributing to a better and more efficient connection of actors along the innovation chain. In order to achieve the above objective, 2 main target groups and 2 specific objectives are defined: a) beneficiaries of the SME Instrument at this level, the specific objectives consist in identifying bottlenecks to the creation of economic impact in companies benefitting from grants by Horizon 2020 SME Instrument and address these bottlenecks with the help of capable coaches. This service to beneficiaries of the SME Instrument is called Key account management(KAM) and 22 of these services are foreseen. b) selected small and medium-sized enterprises with significant innovation activities and a high potential for internationalisation, which could potentially become beneficiaries of European support in terms of research and innovation but without effective access to consulting services for innovation management. At this level, the specific objective is: to increase the efficiency and effectiveness of innovation processes in those companies. This service, provided independently from a specific innovation project and focused on a companys innovation management system, is called Enhancing the innovation management capacity of SME (EIMC) and 137 of these services are foreseen. In summary, the partners participating in this project (IAPMEI, ADI, CCIPD, CEC and INESC) expect to deliver a total of 159 services covering all the country. The project respects the excellence, no wrong door, proximity, subsidiarity and additionally principles as well as the mechanisms of signposting and follow-up of target audience inside the Network. This project is linked to related relevant services proposed in the SGA COSME 2015-2016 thus ensuring synergies between the different European funding programmes for the benefit of SMEs.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2013.4.2 | Award Amount: 6.15M | Year: 2014
LeanBigData aims at addressing three open challenges in big data analytics: 1) The cost, in terms of resources, of scaling big data analytics for streaming and static data sources; 2) The lack of integration of existing big data management technologies and their high response time; 3) The insufficient end-user support leading to extremely lengthy big data analysis cycles. LeanBigData will address these challenges by:Architecting and developing three resource-efficient Big Data management systems typically involved in Big Data processing: a novel transactional NoSQL key-value data store, a distributed complex event processing (CEP) system, and a distributed SQL query engine. We will achieve at least one order of magnitude in efficiency by removing overheads at all levels of the big-data analytics stack and we will take into account technology trends in multicore technologies and non-volatile memories. Providing an integrated big data platform with these three main technologies used for big data, NoSQL, SQL, and Streaming/CEP that will improve response time for unified analytics over multiple sources and large amounts of data avoiding the inefficiencies and delays introduced by existing extract-transfer-load approaches. To achieve this we will use fine-grain intra-query and intra-operator parallelism that will lead to sub-second response times.Supporting an end-to-end big data analytics solution removing the four main sources of delays in data analysis cycles by using: 1) automated discovery of anomalies and root cause analysis; 2) incremental visualization of long analytical queries; 3) drag-and-drop declarative composition of visualizations; and 4) efficient manipulation of visualizations through hand gestures over 3D/holographic views.Finally, LeanBigData will demonstrate these results in a cluster with 1,000 cores in four real industrial use cases with real data, paving the way for deployment in the context of realistic business processes.
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: HEALTH.2013.3.1-1 | Award Amount: 7.70M | Year: 2014
In 2010, 30 million Europeans were affected by depression and their number is still growing. Half of Europeans in need of mental care for depression do not have access to care services, do not always receive evidence-based treatments, are confronted with long waiting lists or high care expenditures. Internet-based treatment has the potential to addresses the drawbacks of standard care and keep depression treatment of high quality and affordable. E-COMPARED will conduct comparative effectiveness research in routine specialized mental care settings on the (cost-) effectiveness of internet-based treatment for depression in comparison with standard care. Health care systems, and -policies, existing ICT infrastructures and their uptake will be taken into account. E-COMPARED aims to 1)Evaluate EU mental health policies/guidelines for standard and internet-based care for depression in specialized care settings in countries with different health care systems and access levels of standard and internet-based care; 2)Compare clinical efficacy and cost-effectiveness of internet-based treatment and treatment as usual within controlled research settings, 3)Carry out pragmatic randomized controlled trials to study how internet-based depression treatment can be effectively implemented within routine specialized care settings, 4)Predict which patient groups could benefit from internet-based treatment vs. standard treatment by modeling patient characteristics; 5)Develop evidence based recommendations on how internet-based depression treatment can be cost-effectively integrated into routine specialized care systems for depression in EU mental health care systems, and develop a business case to ensure structural implementation of these services. E-COMPARED is multidisciplinary (psychology, HTA, ICT, care) and its members have a front runners position in internet-based treatment for common mental health disorders, e.g. through participating in FP7 projects (ICT4Depression, ROAMER).