Blekinge Institute of Technology
Ronneby, Sweden

The Blekinge Institute of Technology is a public, state funded Swedish Institute of technology in Blekinge with 7,200 students and offers 350 courses in 50 educational programmes in five schools at two campuses located in Karlskrona and Karlshamn.BTH is one of three independent institutes of technology in Sweden and in 1999 it was granted university status in technology. Among a large number of programmes and courses taught in Swedish, BTH offers two undergraduate programmes and about 18 Master's programmes in English.The institute focuses on applied information technology and sustainable development; additionally also offers programs in management, economy, health, planning, social science and the humanities.Blekinge Institute of Technology is located in the Telecom City area and works closely together with many telecommunications and software companies including Telenor, Ericsson AB and Wireless Independent Provider . Wikipedia.

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Agency: European Commission | Branch: FP7 | Program: CSA-CA | Phase: SiS.2012.1.3.3-1 | Award Amount: 1.16M | Year: 2013

The RECODE project will leverage existing networks, communities and projects to address challenges within the open access and data dissemination and preservation sector. The sector includes several different networks, initiatives, projects and communities that are fragmented by discipline, geography, stakeholder category (publishers, academics, repositories, etc.) as well as other boundaries. Many of these organisations are addressing the barriers to open access to research data, such as stakeholder fragmentation, technical and infrastructural issues, ethical and legal issues, and state and institutional policy fragmentation. However, these organizations are often working in isolation or with limited contact with one another. RECODE will provide a space for European stakeholders in the open access and data dissemination and preservation sector to work together to provide common solutions for these issues. It will provide over-arching recommendations for a policy framework to support open access to European research data. The RECODE partners will identify and connect with relevant stakeholders, building upon and strengthening existing stakeholder engagement mechanisms at the European and international levels. It will conduct studies of good practice and exchange good practice principles with relevant stakeholders and institutions during networking activities. The RECODE project will formulate recommendations for open access to research data targeted at different stakeholders and policy-makers in support of the Commissions policies. It will take account of the disciplinary and international differences in open access stakeholder ecosystems and stakeholder, institutional, funding body and governmental value chains.

Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-01-2016 | Award Amount: 8.59M | Year: 2016

The Bonseyes project aims to develop a platform consisting of a Data Marketplace, Deep Learning Toolbox, and Developer Reference Platforms for organizations wanting to adopt Artificial Intelligence in low power IoT devices (edge computing), embedded computing systems, or data center servers (cloud computing). It will bring about orders of magnitude improvements in efficiency, performance, reliability, security, and productivity in the design and programming of Systems of Artificial Intelligence that incorporate Smart Cyber Physical Systems while solving a chicken-egg problem for organizations who lack access to Data and Models. Its open software architecture will facilitate adoption of the whole concept on a wider scale. It aims to address one of the most significant trends in the Internet of Things which is the shifting balance between edge computing and cloud computing. The early days of the IoT have been characterized by the critical role of cloud platforms as application enablers. Intelligent systems have largely relied on the cloud level for their intelligence, and the actual devices of which they consist have been relatively unsophisticated. This old premise is currently being shaken up, as the computing capabilities on the edge level advance faster than those of the cloud level. This paradigm shiftfrom the connected device paradigm to the intelligent device paradigm opens up numerous opportunities. To evaluate the effectiveness, technical feasibility, and to quantify the real-world improvements in efficiency, security, performance, effort and cost of adding AI to products and services using the Bonseyes platform, four complementary demonstrators will be built: Automotive Intelligent Safety, Automotive Cognitive Computing, Consumer Emotional Virtual Agent, and Healthcare Patient Monitoring. Bonseyes platform capabilities are aimed at being aligned with the European FI-PPP activities and take advantage of its flagship project FIWARE.

Agency: European Commission | Branch: FP7 | Program: CP | Phase: FI.ICT-2011.1.8 | Award Amount: 17.36M | Year: 2013

FI-STAR will establish early trials in the Health Care domain building on Future Internet (FI) technology leveraging on the outcomes of FI-PPP Phase 1. It will become self-sufficient after the end of the project and will continue on a sustainable business model by several partners. In order to meet the requirements of a global Health industry FI-STAR will use a fundamentally different, reverse cloud approach that is; it will bring the software to the data, rather than bringing the data to the software. FI-STAR will create a robust framework based of the software to data paradigm. A sustainable value chain following the life cycle of the Generic Enablers (GEs) will enable FI-STAR to grow beyond the lifetime of the project. FI-STAR will build a vertical community in order to create a sustainable ecosystem for all user groups in the global Health care and adjacent markets based on FI-PPP specifications. FI-STAR will deploy and execute 7 early trials across Europe, serving more than 4 million people. Through the trials FI-STAR will validate the FI-PPP core platform concept by using GEs to build its framework and will introduce ultra-light interactive applications for user functionality. It will pro-actively engage with the FI-PPP to propose specifications and standards.FI-STAR will use the latest digital media technology for community building and will proactively prepare for Phase 3 through targeted elicitation of new partners using open calls. Finally, FI-STAR will collaborate with other FI-PPP projects, through the mechanisms in place, by actively interacting with all necessary bodies. FI-STAR is a unique opportunity for implementing Future Internet Private-Public Partnership in the Health Care domain, by offering to the community standardised and certified software including a safe, secure and resilient platform, taking advantage of all Cloud Computing benefits and guaranteeing the protection of sensitive and personal data travelling in Public Clouds.

Agency: European Commission | Branch: FP7 | Program: CP | Phase: FI.ICT-2011.1.9 | Award Amount: 17.98M | Year: 2013

XIFI will establish a sustainable marketplace for trial infrastructures and Future Internet services.XIFI will achieve this vision by integrating and federating a multiplicity of heterogeneous environments starting from the generic and specific enablers provided by the FI-WARE core platform and the FI-PPP use cases and early trials.Through this approach XIFI will demonstrate and validate the potential and capabilities of a unified market for Future Internet facilities overcoming a number of existing limitations to the current set of Future Internet experimental infrastructures available across Europe, such as fragmentation, interoperability and scalability. XIFI will also extend its efforts to include the results of other Future Internet services and R&D work.Initially the federation of infrastructures will consist of a core backbone five nodes located in five different European countries enabled with the Technology Foundation services (from the FI-PPP project FI-WARE) to be ready before the start of FI-PPP phase 3 (at month 12 of XIFI). This initial set will be enlarged during the second year with new use cases and collaborating local and regional infrastructures.XIFI will provide significant added value to Future Internet service and application developers. Specifically XIFI will: facilitate unified access to large-scale infrastructures by providing a single entry point for users provide access to generic enablers with assured QoS and reliability that go beyond best effort offer a federation service through which the infrastructures can offer their capabilities using new and existing business models enable infrastructures to be shared across different use casesXIFI will provide training, support and assistance including integration guidelines and the promotion of best practice between large-scale trials and infrastructure nodes. These activities aim at facilitating the uptake and continued use of the FI-PPP results.

Agency: European Commission | Branch: H2020 | Program: IA | Phase: PHC-20-2014 | Award Amount: 4.36M | Year: 2015

As Europes population is ageing, long-term care for elderly citizens will become an increasing cost for society. To manage this transition healthcare policies in the EU and individual Member States are heavily focussed on extending the independent life of the elderly, with the dual aim of increasing their quality of life and reducing the costs of care. Dementia affects more than 6% of people aged 60\ and has a devastating effect on their independence to date, there is no proven intervention to help dementia patients live a fulfilling life for longer. In this project we will build on an innovative patient support tool to develop a mHealth application that is specifically targeted to patients with mild dementia. The tool will help patients to adhere to their treatment and share data with their carers and doctors; carers will use the same application to monitor patients more easily and share their own well-being with doctors. This will slow the patients cognitive and functional decline, avoid carers getting exhausted and reduce costs of emergency care. Our project will comprise two phases: first we will use digital accessibility tools to re-design the existing application for dementia patients. The development will be steered by patients, carers and doctors, through user-centric design: we will collect feedback on each new version of the application until the design is perfectly adapted to the users needs. In the second phase we will pilot the optimised application with 1,100 users (patients \ carers) and 1,100 controls. This will show the clinical and social benefits for patients and carers, as well as financial benefits for the healthcare system. Successful delivery of the pilot will increase patients adherence to treatment (10 %-points), while improving the quality of life of carers and patients. It will save healthcare providers 1,818 / patient / year in care costs and will generate revenue of over 18 million / year for the consortium (Year 5).

Agency: European Commission | Branch: FP7 | Program: CSA-SA | Phase: SiS-2010- | Award Amount: 2.39M | Year: 2011

The GENIS LAB project aims to implement structural changes in a group of selected scientific organisations in order to overcome the factors that limit the participation of women in research. Our proposal is to create a synergy among scientific partners promoting common actions and best practices exchange in order to defeat gender discrimination, and technical partners providing and sharing innovative tools and methodologies for gender mainstreaming in science. Scientific partners present a focus area on nanotechnologies and an already set network. Besides, two other STEM areas (physics and ITC) are represented in order to provide a comparative assessment as well as best practices. The nine partners are: CSIC (Spanish Superior Council for Scientific Research) Institute for Polymer Science and Technology, Spain; IPF - Leibniz Institute of Polymer Research Dresden, Germany; FTM UB _ Faculty of Technology and Metallurgy, University of Belgrade, Serbia; NIC_National Institute of Chemistry, Slovenia; INFN, National Institute for Nuclear Physics, Italy; BTH_Blekinge Institute of Technology, Sweden. Technical partners are: FGB- Fondazione Giacomo Brodolini, Italy; ITC/ILO_ International Training Centre of the International Labour Organization, UN Agency, International; ADS - Italian women in science organization, Italy. GENIS-LAB will operate on three levels: the organisational level (identification of specific management tools and definition of self tailored action plans aimed to promote internal structural changes); the social/environmental level (promotion of a communication and awareness campaign aimed at fighting against stereotypes - de-constructing the stereotyped relation between women and science); the trans - national European level (promotion of networking/mutual learning among involved scientific organisation to support the exchange of experiences, practices, efficient management tools).

Tornquist Krasemann J.,Blekinge Institute of Technology
Transportation Research Part C: Emerging Technologies | Year: 2012

An attractive and sustainable railway traffic system is characterized by having a high security, high accessibility, high energy performance and offering reliable services with sufficient punctuality. At the same time, the network is to be utilized to a large extent in a cost-effective way. This requires a continuous balance between maintaining a high utilization and sufficiently high robustness to minimize the sensitivity to disturbances. The occurrence of some disturbances can be prevented to some extent but the occurrence of unpredictable events are unavoidable and their consequences then need to be analyzed, minimized and communicated to the affected users. Valuable information necessary to perform a complete consequence analysis of a disturbance and the re-scheduling is however not always available for the traffic managers. With current conditions, it is also not always possible for the traffic managers to take this information into account since he or she needs to act fast without any decision-support assisting in computing an effective re-scheduling solution. In previous research we have designed an optimization-based approach for re-scheduling which seems promising. However, for certain scenarios it is difficult to find good solutions within seconds. Therefore, we have developed a greedy algorithm which effectively delivers good solutions within the permitted time as a complement to the previous approach. To quickly retrieve a feasible solution the algorithm performs a depth-first search using an evaluation function to prioritise when conflicts arise and then branches according to a set of criteria. © 2010 Elsevier Ltd.

Hagelback J.,Blekinge Institute of Technology
2012 IEEE Conference on Computational Intelligence and Games, CIG 2012 | Year: 2012

Real-Time Strategy (Rts) games are a sub-genre of strategy games typically taking place in a war setting. Rts games provide a rich challenge for both human- and computer players (bots). Each player has a number of workers for gathering resources to be able to construct new buildings, train additional workers, build combat units and do research to unlock more powerful units or abilities. The goal is to create a strong army and destroy the bases of the opponent(s). Armies usually consists of a large number of units which must be able to navigate around the game world. The highly dynamic and real-time aspects of Rts games make pathfinding a challenging task for bots. Typically it is handled using pathfinding algorithms such as A*, which without adaptions does not cope very well with dynamic worlds. In this paper we show how a bot for StarCraft uses a combination of A* and potential fields to better handle the dynamic aspects of the game. © 2012 IEEE.

Ibragimov N.H.,Blekinge Institute of Technology
Journal of Physics A: Mathematical and Theoretical | Year: 2011

The general concept of nonlinear self-adjointness of differential equations is introduced. It includes the linear self-adjointness as a particular case. Moreover, it embraces the strict self-adjointness (definition 1) and quasi-self-adjointness introduced earlier by the author. It is shown that the equations possessing nonlinear self-adjointness can be written equivalently in a strictly self-adjoint form by using appropriate multipliers. All linear equations possess the property of nonlinear self-adjointness, and hence can be rewritten in a nonlinear strictly self-adjoint form. For example, the heat equation ut u = 0 becomes strictly self-adjoint after multiplying by u1. Conservation laws associated with symmetries are given in an explicit form for all nonlinearly self-adjoint partial differential equations and systems. © 2011 IOP Publishing Ltd.

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