Innovative Solutions | Date: 2016-08-24
A customized chest response finite element model for a crash test dummy is disclosed. A method of creating the customized chest response finite element model for the crash test dummy includes the steps of identifying two borderline sets that match with certification test data profiles for a chest of the crash test dummy, varying material properties of components of the chest for the crash test dummy, defining a mapping function and allowing intermediate sets to be interpolated from the certification test data profiles, and creating a single chest response finite element model for the crash test dummy with a user-defined input parameter for the customized chest response finite element model that defines the customized response.
Innovative Solutions | Date: 2016-07-26
A multi-sensor device comprises a housing containing multiple sensor modules for capturing and transmitting sensor data for plants in a crop. A control unit within the housing is operable to control the sensor modules, and a communications interface is connected to the control unit for transmitting data from said plurality of sensor modules. The sensor modules can include a physiological sensor, a surface analysis sensor, and chemical sensor. The multi-sensor device can be used as a hand-held device or mounted to a mobile platform for use in an automated crop monitoring system.
Innovative Solutions | Date: 2016-07-26
Systems and methods for monitoring and assessing crop health and performance can provide rapid screening of individual plants. The systems and methods have an automated component, and rely primarily on the detection and interpretation of plant-based signals to provide information about crop health. In some cases knowledge from human experts is captured and integrated into the automated crop monitoring systems and methods. Predictive models can also be developed and used to predict future health of plants in a crop.
Innovative Solutions | Date: 2017-01-25
Methods of generating fusion protein variants are provided that comprise introducing sequence diversity at the junction region or regions in the fusion and allows for the generation of variants having a desired activity. Examples include immunoglobulins comprising a domain or polypeptide inserted into, or replacing, a CDR. Also provided are polynucleotides encoding a fusion protein and comprising two or more RSSs, and compositions and host cells comprising same, as well as fusion proteins variants produced by the described methods.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-04-2015 | Award Amount: 4.00M | Year: 2016
Critical Real-Time Embedded Systems (CRTES) such as railway, aerospace, automotive and energy generation systems face a disruptive challenge caused by the massive irruption of mixed-criticality systems based on multicore processors. At the same time low-power is an intensifying demand in many market segments, a competitive advantage for CRTES that have to operate with limited energy (e.g., battery powered systems), an enabler for higher availability and a desired feature towards near-zero emission in systems with tens/hundreds of devices. Power is also a key aspect in mixed-criticality systems as another resource (together with time and space) that has to be shared among different applications and has to be strictly controlled not to cause undesired interferences. The main objective of SAFEPOWER is to enable the development of mixed-criticality systems with low power, energy and temperature in combination with safety, real-time and security support by a reference architecture orchestrating different local power-management techniques. SAFEPOWER builds a comprehensive suite of multi-core platform technologies as well as analysis, simulation and verification tools for low-power mixed-criticality systems, including hardware and software reference platforms assisting the implementation, observation and test of such applications. SAFEPOWER will demonstrate the benefits through two industrial use-cases and a cross-domain public demonstrator. The safety concept of SAFEPOWER will be assessed by an external certification authority and consider reference domains and safety standards (e.g. industrial IEC-61508, railway, automotive, aerospace). SAFEPOWE brings significant improvements w.r.t. power, energy, temperature, availability and lifetime of CRTES as well as new types of competitive products operating with limited energy. Impact and exploitation will also be facilitated by the strong collaboration with other related projects in the cluster of mixed-criticality systems.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: DRS-01-2015 | Award Amount: 14.54M | Year: 2016
The ultimate purpose of ANYWHERE is to empower exposed responder institutions and citizens to enhance their anticipation and pro-active capacity of response to face extreme and high-impact weather and climate events. This will be achieved through the operational implementation of cutting-edge innovative technology as the best way to enhance citizens protection and saving lives. ANYWHERE proposes to implement a Pan-European multi-hazard platform providing a better identification of the expected weather-induced impacts and their location in time and space before they occur. This platform will support a faster analysis and anticipation of risks prior the event occurrence, an improved coordination of emergency reactions in the field and help to raise the self-preparedness of the population at risk. This significant step-ahead in the improvement of the pro-active capacity to provide adequate emergency responses is achievable capitalizing on the advanced forecasting methodologies and impact models made available by previous RTD projects, maximizing the uptake of their innovative potential not fully exploited up to now. The consortium is build upon a strong group of Coordinators of previous key EC projects in the related fields, together with 12 operational authorities and first responders institutions and 6 leading enterprises of the sector. The platform will be adapted to provide early warning products and locally customizable decision support services proactively targeted to the needs and requirements of the regional and local authorities, as well as public and private operators of critical infrastructures and networks. It will be implemented and demonstrated in 4 selected pilot sites to validate the prototype that will be transferred to the real operation. The market uptake will be ensured by the cooperation with a SME and Industry Collaborative Network, covering a wide range of sectors and stakeholders in Europe, and ultimately worldwide.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ENV.2013.6.4-3 | Award Amount: 6.53M | Year: 2014
Coastal floods are one of the most dangerous and harmful natural hazards affecting urban areas adjacent to shorelines. Rapid urbanisation combined with climate change and poor governance means a significant increase in the risk of local surface flooding coinciding with high water levels in rivers and high tide or storm surges from the sea, posing a greater risk of devastation to coastal communities. The threats posed need to be addressed not just in terms of flood prediction and control, but taking into account governance and socio-economic issues. PEARL brings together world leading expertise in both the domain of hydro-engineering and risk reduction and management services to pool knowledge and practical experience in order to develop more sustainable risk management solutions for coastal communities focusing on present and projected extreme hydro-meteorological events. The project will examine 7 case studies from across the EU to develop a holistic risk reduction framework that can identify multi-stressor risk assessment, risk cascading processes and strengthen risk governance by enabling an active role for key actors. The research programme links risk and root cause assessment through enhanced FORIN methodology, event prediction, forecast and warning, development of adaptive structural and non-structural strategies and active stakeholder participation. The project aims to develop novel technologies and methods that can improve the early warning process and its components; it builds a pan-European knowledge base gathering real case studies and demonstrations of best practice across the EU to support capacity development for the delivery of cost-effective risk-reduction plans. Additionally, the project provides an interface to relevant ongoing tsunami work: it plugs into global databases, early warning systems and processes at WMO, and contributes to community building, development of guidelines and communication avenues at the global level through IWA.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: COMPET-02-2015 | Award Amount: 4.06M | Year: 2016
Current launchers (ARIANE6 and VEGA C) will guarantee Europes independent access to space for the high-end satellite market. These launchers however are significantly less attractive for classes of smaller satellites. The SMILE initiative therefore addresses reliable, affordable, quick and frequent access to space for the emerging market of small satellites up to 50 kg, fulfilling the needs from the European space RTD community and commercial initiatives to put satellites into preferred orbits within a preferred time window. Herewith a market niche is addressed, which is projected to grow significantly in the coming decades and presently lacks availability of a European launcher. The project focuses on research and innovation to obtain European solutions enabling the development and realization of such a launcher system. Main objectives are to: develop a concept for an innovative, cost-effective European launcher system for small satellites (target price below 50.000 Euro/kg) design a Europe-based ground facility for these launcher systems increase the Technology Readiness Level of several critical technologies required for such a launcher including the development and demonstration of component prototypes create a roadmap defining the development plan for the launcher system from a technical operational and economical perspective These objectives are achieved through combined research into a novel and innovative launcher system following a multidisciplinary concurrent engineering design and optimization approach. The overall design and development process encompasses technology and process advances aiming at cost reduction, such as series production, re-usability, and the applicability of European industrial grade components. The consortium is composed of organizations in relevant fields from eight European countries, from well-established and experienced SMEs to young and innovative start-ups.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: PHC-19-2014 | Award Amount: 3.81M | Year: 2015
Demographic and epidemiologic transitions have brought a new health care paradigm with the presence of both, growing elderly population and chronic diseases. Life expectancy is increasing as well as the need for long-term care. Institutional care for the aged population faces economical struggles with low staffing ratios and consequent quality problems. Although the aforementioned implications of ageing impose societal challenges, at the same time new opportunities arise for the European citizens, the healthcare systems as well as the industry and the European market. Two of the most important aspects of assistive environments and independent living are user acceptance and unobtrusiveness. Mostly explored in a smart home setup and the unobtrusive installation of audio-visual monitoring equipment, the consensus is that users accept monitoring if they are not constantly aware of its presence. A more recent trend is home assistant robots. These two lines of development have for the most part ran without heavily interacting with each other and, even more so, without developing integrated solutions that combine smart home automation with robotics. In RADIO, we will develop an integrated smart home/assistant robot system, with the objective of pursuing a novel approach to acceptance and unobtrusiveness: a system where sensing equipment is not discrete but an obvious and accepted part of the users daily life. By using the integrated smart home/assistant robot system as the sensing equipment for health monitoring, we mask the functionality of the sensors rather than the sensors themselves. In this manner, sensors do not need to be discrete and distant or masked and cumbersome to install; they do however need to be perceived as a natural component of the smart home/assistant robot functionalities.
Agency: European Commission | Branch: H2020 | Program: SME-2 | Phase: SMEInst-07-2016-2017 | Award Amount: 1.04M | Year: 2016
STEPLA, https://youtu.be/5NcgzfTEGqE, http://www.stepla.es/en_index.html, developed by the Spanish SME MISC International (SensoWave) is the first ICT service platform for extensive breeding farms full management that offers location, monitoring, and traceability capabilities to locate livestock individuals in real time. STEPLA monitors in real time their condition detecting anomalies and facilitating farm management, including meat traceability and environmental impact of livestock farming activites. STEPLA integrates stakeholders such as veterinarians, suppliers, insurance companies, regulatory authorities, consumers, and every elements within the distribution chain. After being incubated by the SmartAgrifFood acceleration programme http://smartagrifood.com, and finalizing pilots in several farms in Spain, STEPLA reached their first selling agreement for the cow (beef) sector in 2015. With SMEInst-2 project STEPLA\, SensoWave envisages to carry out the needed adaptations to cover other livestock, targeting pigs, sheep and goats, and horses, and to include new functionalities (temperature sensors, more complex bigdata based algorithms, etc.), in order to increase STEPLA\ market penetration becoming the main solution for European livestock farmers in the coming years. STEPLA\ will reach commercialisation step in 2018-19, resulting in a 4-year ROI of 309% for SensoWave, and generating 204 new jobs, plus positively impacting the European livestock farming sector (also by increasing exports) and the European citizens welfare.