Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: SSH.2013.3.2-1 | Award Amount: 6.25M | Year: 2014
SI-DRIVE extends knowledge about social innovation (SI) in three major directions: - Integrating theories and research methodologies to advance understanding of SI leading to a comprehensive new paradigm of innovation. - Undertaking European and global mapping of SI, thereby addressing different social, economic, cultural, historical and religious contexts in eight major world regions. - Ensuring relevance for policy makers and practitioners through in-depth analyses and case studies in seven policy fields, with cross European and world region comparisons, foresight and policy round tables. SI-DRIVE involves 15 partners from 12 EU Member States and 10 from other parts of the world. The approach adopted carefully interlinks the research process to both the complexity of the topic and the project workflow. First, cyclical iteration between theory development, methodological improvements, and policy recommendations. Second, two mapping exercises at European and global level. Initial mapping will capture basic information about 1000\ actual successful and failed social innovations from a wide variety of sources worldwide, leading to a typology of SI (testing the SI perspectives proposed by the BEPA report) and using this to examine the global SI distribution. Subsequent mapping will use the typology to focus on well documented SI, leading to the selection of 10 cases each for in-depth analysis in the seven SI-DRIVE Policy Fields. Third, these case studies will be further analysed, used in stakeholder dialogues in 7 policy field platforms and in analysis of cross-cutting dimensions (e.g. gender, diversity, ICT), carefully taking into account cross-sector relevance (private, public, civil sectors), and future impact. The outcomes of SI-DRIVE will address all objectives required by the Call, cover a broad range of research dimensions, impacting particularly in terms of changing society and empowerment, and contributing to the objectives of the Europe 2020 Strategy.
Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: SSH.2012.3.1-1 | Award Amount: 7.43M | Year: 2013
The starting point for MOPACT is the ambitious goals set by Horizon 2020 and the European Innovation Partnership Pilot Project on Active and Healthy Ageing (EIPAHA). Our response is ambitious too: we aim to provide the research and practical evidence upon which Europe can make longevity an asset for social and economic development. MOPACT will create a high quality, multi-disciplinary critical mass of leading researchers and, in the closest possible partnership with stakeholders and through a carefully planned iterative process, build a compendium of essential state-of-the-art and foresight intelligence upon which to develop the policy, practice, service and product developments and innovations required to meet the goals of Horizon 2020 and, in particular, the EIPAHA. Active and healthy ageing is the primary focus of MOPACT and it will build on the momentum created by EY2012.
Scheuplein C.,Gelsenkirchen University of Applied Sciences
Geographica Helvetica | Year: 2017
In today’s corpus of economic geography textbooks published in the German-speaking countries, the spatial science approach is described as involving a neoclassical view of economics, a chorological explanatory strategy, (neo)positivist roots, and a focus on developments that have occurred since 1969. This approach has received sweeping criticism for its “undersocialization”, its “spatial fetishism”, and its exclusively quantitative methodology. The article proposes to abandon the dominant historiography of science, which focuses on national economies and takes a positivist perspective, in favor of a form of contextualization that has its roots in the sociology of knowledge. The article examines relevant publications in journals and textbooks to show that what has been known as the quantitative revolution did not become widely accepted among German-speaking researchers until the late 1970s, long after it originally began to emerge. This process was characterized by a shift toward a consultative perspective that researchers adopted in hopes of becoming involved in the spatial planning initiatives of the state. In the resulting usage context of the Keynesian interventionist state, a culture of economic geography experts developed that discussed methods and concepts in an innovative and pluralist manner. © Author(s) 2017.
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: ICT-2011.1.4 | Award Amount: 1.47M | Year: 2012
The FIRE project will provide a strategic approach, organizational support and network capability for researchers, technology developers, consultants, system integrators and governments to improve their European co-operation by addressing challenges in the current fragmented landscape. The project will facilitate information security companies to improve take-up of European Trustworthy ICT research, and also enable researchers to connect and exploit their technology solutions with the information security technology companies, systems integrators and end users. The project will also contribute to aligning European Trustworthy ICT research with specific market sector requirements for exploitation.The project will be able to support coordination by developing pan-EU cluster strategy and research agendas/roadmaps in key research areas (identified from existing activities such as the RISEPTIS/Think-Trust report). Industry research challenges/needs will be identified for key market sectors including energy, finance, healthcare, mobile communications and addressed by Cluster Research Working Groups. FIRE will impact and improve most importantly the European industrial competitiveness in markets of trustworthy ICT.Effort will be undertaken to find alignment and collaborative or export opportunities of the European technology solutions with other targeted markets such as the US, Canada, Brazil, Argentina, Chile and Japan.FIRE will be carried out by a balanced consortium formed by European cluster networks including as members SMEs, large companies, end-users, research organizations and experts of security companies led by an ICT association active in several relevant sectors and domains. This configuration guarantees a consistent dialogue with stakeholders through Cluster networks taking account of the goals of research institutions and the industry of privacy, trust and acceptability.
Zhong M.,Beihang University |
Ding S.X.,University of Duisburg - Essen |
Ding E.L.,Gelsenkirchen University of Applied Sciences
Automatica | Year: 2010
This paper deals with the problem of observer-based fault detection for linear discrete time-varying (LDTV) systems. A problem formulation is first proposed to address the optimization of the fault detection filter (FDF) design, which is expressed in terms of maximizing a finite horizon H ∞/H∞ or H-/H∞ performance index. This formulation can be applied to FDF design of LDTV systems subject to l2-norm bounded unknown inputs or stochastic noise sequences. It is shown that a unified optimal solution to the FDF can be obtained by solving the discrete time Riccati equation and the optimal FDF is not unique. A numerical example is given to illustrate the proposed method. © 2010 Elsevier Ltd. All rights reserved.
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SSH.2013.1.1-1 | Award Amount: 3.03M | Year: 2014
SIMPACT advances understanding of social innovations economic dimensions, creating new concepts, models and instruments for policy makers, innovators, investors and intermediaries. It systematically investigates how social innovations can enable the most vulnerable in society to become economic assets, integrating critical analysis of current and previous work with future-oriented methodologies, new actionable knowledge and continual stakeholder participation. SIMPACTs multidisciplinary mixed-method approach advances knowledge and the state of the art by (i) elaborating a theoretical model of the economic dimensions of social innovation throughout its lifecycle; (ii) generating new empirical knowledge on the economic dimensions through rich, theoretically informed analysis of successful and less successful cases; (iii) analysing drivers and barriers shaping the economic impact of social innovations, and levers for their scaling and diffusion; (iv) developing indicators to measure social innovations and tailored methods to evaluate social and economic impact; (v) enhancing modes of public policy production, instruments and guidelines; (vi) generating foresight knowledge through agent-based modelling and scenario building. SIMPACT integrates theoretical, empirical and actionable knowledge to create evidence-based approaches to business development, public policy and research. A participatory research approach actively engages policy makers, innovators, investors and intermediaries of vulnerable groups. Action learning, indicator labs and stakeholder experiments facilitate processes of co-creation, stimulating shared learning, strengthening practitioner knowledge and enhancing conceptualisation of the economic base. Partners understanding of welfare regime diversity, including New Member State specificities, will ensure tailored, actionable deliverables. Eight high profile associate partners will help ensure the success of SIMPACTs dissemination activities.
Ding S.X.,University of Duisburg - Essen |
Zhang P.,Rhine-Waal University of Applied Sciences |
Yin S.,Harbin Institute of Technology |
Ding E.L.,Gelsenkirchen University of Applied Sciences
IEEE Transactions on Industrial Informatics | Year: 2013
In this paper, a design framework of fault-tolerant wireless networked control systems (NCSs) is developed for industrial automation applications. The main objective is to achieve an integrated parameterization and design of the communication protocols, the control and fault diagnosis algorithms aiming at meeting high real-time requirements in industrial applications. To illustrate the design framework, a laboratory wireless fault-tolerant NCS platform is presented. © 2005-2012 IEEE.
Agency: European Commission | Branch: FP7 | Program: CSA-CA | Phase: REGIONS-2011-1 | Award Amount: 2.71M | Year: 2011
The overall goal of the proposed project is to promote more sustainable transport through the development of electromobility solutions for cities and regions (ELMOS). The projects aims at delivering concepts for a better exchange of electromobility knowledge at regional and EU level, concepts for new business models and for cross-border field tests which should lead to an improved standardisation in electromobility technology and to new insights in applied science. The project therefore, contributes to enhance the regional capacities for a fostering of the sustainable transport-related economy. Electric vehicles are regarded as one of the cleanest solutions for urban mobility. Due to daily congested roads in and around agglomerations with highly polluting stop-and-go traffic, electromobility with zero-emissions in cities will bring large and quick gains in greenhouse gas reduction and alleviation of air and noise pollution. Moreover, innovative green vehicle concepts will lead to new and sustainable mobility forms in urban mobility. Some already see a new electric mobility age to come up. However, a fast uptake of electromobility depends on appropriate regional infrastructures, a shift in user patterns, and intelligent vehicle-use concepts embedded in the urban transport environment. The market potential is considered to be enormous. The working scheme is designed to achieve these objectives: High-level expert round tables and international networks will gather additional expertise. Two EU-mentoring regions are involved from the start. From the sectors ICT, automotive and renewable energy, four ma-ture and two less RDCs in geographically linked regions participate. Their intended set-up of joint concepts for electromobility cross-border testing has never been done so far. As con-crete outcomes, concepts for smart specialisation, a joint agenda for future RTDI and train-ing tools will be developed and exciting dissemination actions undertaken. Given the complexity of the electromobile technology deployment EU-wide triple helix ap-proach is a prerequisite and the support by a Regions of Knowledge project is thus, re-garded as a great chance.
Marginean G.,Gelsenkirchen University of Applied Sciences |
Utu D.,Polytechnic University of Timişoara
Applied Surface Science | Year: 2012
High velocity oxygen fuel (HVOF) spraying method was used in order to obtain very dense and good adhesive CoNiCrAlY-coatings deposited onto nickel-based alloy. The coatings were differently treated (preoxidized, vacuum treated or electron beam irradiated) before their exposure to cyclic oxidation tests in air at 1000 °C for periods up to 5 h. Changes of the coatings morphology and structure were analysed by scanning electron microscopy (SEM) and X-ray diffraction technique (XRD). The surface temperature of the samples was measured during cooling, between the oxidation cycles, and finally was associated with the thickness of the grown protective oxide scale on the CoNiCrAlY-surface. The experimental results demonstrated that depending on the thickness respectively on the different structures of the grown oxide scale, the cooling rate of the sample surface will be different as well. © 2012 Elsevier B.V. All rights reserved.
Gelsenkirchen University of Applied Sciences | Date: 2010-10-20
An image sensor array for capturing image information for automatic image data processing. The image sensor array includes a multiplicity of identical sensor cells. Each sensor cell respectively comprises at least one image sensor with a dedicated sensor optical system. A frame buffer is configured to store image information from the at least one image sensor. An evaluation unit is configured to process the image information. At least one data interface to a directly adjacent sensor cell. The sensor cells are arranged in at least one row so that a capture region of an image sensor of the directly adjacent sensor cell overlaps. The at least one data interface to the directly adjacent sensor cell is configured to access the image data of the capture region. The respective valuation unit of the sensor cells is configured to determine a correlation of items of the image data in the capture region