Hartford, CT, United States
Hartford, CT, United States

United Technologies Corporation is an American multinational conglomerate headquartered in the United Technologies Building in Hartford, Connecticut. It researches, develops, and manufactures high-technology products in numerous areas, including aircraft engines, helicopters, HVAC, fuel cells, elevators and escalators, fire and security, building systems, and industrial products, among others. UTC is also a large military contractor, producing missile systems and military helicopters, most notably the UH-60 Black Hawk helicopter. Gregory Hayes is the current CEO. Wikipedia.


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Patent
United Technologies | Date: 2016-10-18

A cast work piece includes a cast metal component section and a sprue section connected to the cast metal component section. The cast metal component section and a portion of the sprue section have a first grain orientation and another portion of the sprue section has a second grain orientation such that there is a microstructural discontinuity where the first grain orientation meets the second grain orientation in the sprue section.


Patent
United Technologies | Date: 2016-01-27

A gas turbine engine component having a cooling hole includes a first wall having a cooling hole inlet, a second wall generally opposite the first wall and having a cooling hole outlet, a metering section extending downstream from the inlet and having a hydraulic diameter (d_(h)), and a diffusing section extending from the metering section to the outlet. The metering section includes a substantially convex first surface extending from a first end to a second end, a substantially concave second surface extending from a third end to a fourth end, and first and second curved portions connecting the ends of the first and second surfaces.


Grant
Agency: Cordis | Branch: H2020 | Program: IA | Phase: FCT-06-2015 | Award Amount: 6.20M | Year: 2016

Money underpins all terrorist activities (without money propaganda, training, recruitment, and support are less effective or null). The disruption of terrorist financing activity is a key element in any fight against terrorism. DANTE will deliver effective, efficient and automated data mining, analytics solutions and an integrated system to detect, retrieve, and analyse huge amounts of heterogeneous and complex multimedia and multi-language (in five languages) terrorist-related contents from both the Surface and the Deep Web, including the Dark Nets. The ultimate goal is to discover (by connecting the dots), analyse and monitor potential terrorist-related activities and people, with focus on online fund raising activities, but also considering propaganda, training and disinformation. The challenging results of DANTE are achievable by exploiting, improving and integrating several existing data mining and analysis tools (mostly provided and owned by the partners; some already with high TRL). These tools and services will be further evolved and enhanced to be put at the service of the requirements provided by LEA partners (Guardia Civil, Policia Judiciaria, Home Office, Carabinieri). Thus, starting from lab and pre-prototype tools and methods, a market ready product with higher TRL will be the major outcome of DANTE. The presence of end user partners in the consortium will allow the validation/optimisation of the solution and boost of its adoption in their operational circumstances. The DANTE system will be validated and demonstrated in three pilots under the direct responsibility of the involved LEAs in their operational environments with the aim of detecting, analysing and monitoring terrorist-related contents for (i) propaganda (including recruitment, incitement, radicalization and disinformation), (ii) training and (iii) fund raising. DANTE surpasses the needs of the call for ensuring TRL6 of the projects results, by including components that will reach TRL7.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: FOF-04-2016 | Award Amount: 4.32M | Year: 2016

Smart factories are characterized by increasing automation and increasing customization. In these dynamic environments flexible and adaptive work organization is crucial both for productivity and work satisfaction. Factory2Fit project will support this development by developing adaptation solutions with which people with different skills, capabilities and preferences can be engaged, motivated and productive members of the work community in manufacturing industries. The core idea in Factory2Fit project is that the worker is an expert of his/her own work and thus (s)he shall have an active role in designing his/her work. The proposed adaptive automation solutions are based on a dynamic user model that includes physical and cognitive abilities. The worker him/herself gets feedback of his performance and skills, which supports continuous learning and competence development. Virtual factory models will be used as engaging platforms for participatory design of work practices, knowledge sharing and training, involving all the relevant stakeholders in contributing the organizational development. Contextual guidance and knowledge sharing is supported by augmented reality based tools. The adaptation solutions will be developed within three industrial pilots in actual manufacturing environments. The solutions will be generalized and disseminated widely to the manufacturing industry. Adaptive automation solutions to be developed in Factory2Fit will support fluent human-automation cooperation and will have impacts in work satisfaction, less occupational health issues, less stress, better ergonomics, better quality, less errors and better productivity. Adaptive automation supports current and forthcoming workers to develop their competences towards knowledge workers of smart factories with fulfilling work careers. This will further improve the competitiveness of European manufacturing industry and support the principle of responsible manufacturing industry.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: EE-13-2015 | Award Amount: 2.00M | Year: 2016

Intelligent Energy Europe expects district heating to double its share of the European heat market by 2020 while district cooling will grow to 25%. While this expansion will translate into 2.6% reduction in the European primary energy need and 9.3% of all carbon emissions, it will not be achieved through modernization and expansion alone but requires fundamental technological innovation to make the next generation of district heating and cooling (DHC) systems highly efficient and cost effective to design, operate and maintain. E2District aims to develop, deploy, and demonstrate a novel cloud enabled management framework for DHC systems, which will deliver compound energy cost savings of 30% through development of a District Simulation Platform to optimise DHC asset configuration targeting >5% energy reduction, development of intelligent adaptive DHC control and optimisation methods targeting an energy cost reduction between 10 and 20%, including flexible production, storage and demand assets, and system-level fault detection and diagnostics, development of behaviour analytics and prosumer engagement tools to keep the end user in the loop, targeting overall energy savings of 5%. Development of a flexible District Operation System for the efficient, replicable and scalable deployment of DHC monitoring, intelligent control, FDD and prosumer engagement, development of novel business models for DHC Operators, Integrators and Designers, validation, evaluation, and demonstration of the E2District platform, and development of strong and rigorous dissemination, exploitation and path-to-market strategies to ensure project outcomes are communicated to all DHC stakeholders. E2District addresses specifically the calls objective related to the development of optimisation, control, metering, planning and modelling tools including consumer engagement and behaviour analytics and supports the integration of multiple generation sources, including renewable energy and storage.


Grant
Agency: Cordis | Branch: FP7 | Program: JTI-CP-ARTEMIS | Phase: SP1-JTI-ARTEMIS-2013-AIPP5 | Award Amount: 93.92M | Year: 2014

Embedded systems are the key innovation driver to improve almost all mechatronic products with cheaper and even new functionalities. Furthermore, they strongly support todays information society as inter-system communication enabler. Consequently boundaries of application domains are alleviated and ad-hoc connections and interoperability play an increasing role. At the same time, multi-core and many-core computing platforms are becoming available on the market and provide a breakthrough for system (and application) integration. A major industrial challenge arises facing (cost) efficient integration of different applications with different levels of safety and security on a single computing platform in an open context. The objective of the EMC project (Embedded multi-core systems for mixed criticality applications in dynamic and changeable real-time environments) is to foster these changes through an innovative and sustainable service-oriented architecture approach for mixed criticality applications in dynamic and changeable real-time environments. The EMC2 project focuses on the industrialization of European research outcomes and builds on the results of previous ARTEMIS, European and National projects. It provides the paradigm shift to a new and sustainable system architecture which is suitable to handle open dynamic systems. EMC is part of the European Embedded Systems industry strategy to maintain its leading edge position by providing solutions for: . Dynamic Adaptability in Open Systems . Utilization of expensive system features only as Service-on-Demand in order to reduce the overall system cost. . Handling of mixed criticality applications under real-time conditions . Scalability and utmost flexibility . Full scale deployment and management of integrated tool chains, through the entire lifecycle Approved by ARTEMIS-JU on 12/12/2013 for EoN. Minor mistakes and typos corrected by the Coordinator, finally approved by ARTEMIS-JU on 24/01/2014. Amendment 1 changes approved by ECSEL-JU on 31/03/2015.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: DS-01-2016 | Award Amount: 5.42M | Year: 2017

The main objective of the ANASTACIA is to address the constant discovery of vulnerabilities in ICT components providing assurance that ICT systems are secure and trustworthy by design. To this end, ANASTACIA will research and develop a holistic security framework, which will address all the phases of the ICT Systems Development Lifecycle and will be able to take autonomous decisions using new networking technologies (SDN/NFV), and dynamic security enforcement and monitoring methodologies and tools. The ANASTACIA framework will include a comprehensive suite of tools and enablers: - A security development paradigm based on the compliance to security best practices and the use of the security components and enablers. - A suite of distributed trust and security components and enablers, able to dynamically orchestrate and deploy user security policies and actions within complex and dynamic CPS and IoT architectures. - Online monitoring and testing techniques that will allow more automated adaptation of the system to mitigate new and unexpected security vulnerabilities. - A holistic Dynamic Security and Privacy Seal, combining security and privacy standards and real time monitoring and online testing. This will provide quantitative and qualitative run-time evaluation of privacy risks and security levels, which can be easily understood and controlled by the final users. ANASTACIA results will be driven and demonstrated in three high impact Use Cases: Mobile Edge Computing, Smart Building and IoT networks. Bringing together leading partners with wide-ranging expertise, the ANASTACIA Consortium will combine the philosophy and business models of communication technologies with inherently integrated security and privacy solutions, creating a security framework where the end users will be able to control their security and privacy policies enforcement, and application developers, in particular SMEs, will find an open and sustainable ecosystem for secure SLCD.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-01-2014 | Award Amount: 7.96M | Year: 2015

The aim of the INTO-CPS project is to create an integrated tool chain for comprehensive model-based design of Cyber-Physical Systems (CPSs). The tool chain will support the multidisciplinary, collaborative modelling of CPSs from requirements, through design, down to realisation in hardware and software. This will enable traceability at all stages of the development. INTO-CPS will support the holistic modelling of CPSs, allowing system models to be built and analysed that would otherwise not be possible using standalone tools. We will integrate existing industry-strength tools with high Technology Readiness Levels (TRL 69) in their application domains. The solution will be based centrally around Functional Mockup Interface (FMI)-compatible co-simulation. The project focuses on the pragmatic integration of these tools, making extensions in areas where a need has been recognised. The tool chain will be underpinned by a well-founded semantic foundations that ensures the results of analysis can be trusted. The tool chain will provide powerful analysis techniques for CPSs, including connection to SysML; generation and static checking of FMI interfaces; model checking; Hardware-in-the-Loop (HiL) and Software-in-the-Loop (SiL) simulation, supported by code generation. The tool chain will allow for both Test Automation (TA) and Design Space Exploration (DSE) of CPSs. The INTO-CPS technologies will be accompanied by a comprehensive set of method guidelines that describe how to adopt the INTO-CPS approach, lowering entry barriers for CPS development. The tool chain will be tested with case studies in railways, agriculture, building and automotive. The consortium has 4 academic and 7 industrial partners. The industrial partners comprise both tool vendors and case study owners. The INTO-CPS technology will enable experimenting with design alternatives enabling radical innovation where the overall concept is right first time, even when hardware prototypes does not yet exists.


Grant
Agency: Cordis | Branch: H2020 | Program: IA | Phase: LCE-08-2014 | Award Amount: 13.14M | Year: 2015

Integration of distributed small/medium size storage systems can allow operating distribution grids much more flexibly, thus realizing smart grid features like local demand-supply balancing, congestion relief, peak shaving and effective RES integration. However, few technologically mature decentralized storage systems are commercially available today at affordable prices, while both viable business models and the underlying legal and regulatory framework are lagging behind. As an answer ELSA will implement and demonstrate an innovative solution integrating low-cost second-life Li-ion batteries and other direct and indirect storage options, including heat storage, demand-side management, as well as use of intermittent RES. The core idea is to consider Storage as a Service towards building and district managers for local energy management optimization, and towards DSO for enhanced network operations. ELSA will adapt, build upon, and integrate close-to-mature (TRL>=5) storage technologies and related ICT-based energy management systems for the management and control of local loads, generation and single or aggregated real or virtual storage resources, including demand response, in buildings, districts and distribution grids. Data models ensuring interoperability among building, districts and DSOs and novel business models enabled by energy storage as-a-service will be developed. Different configurations will be demonstrated along six test sites, where a set of different storage technologies will be integrated. Safety issues and social acceptance will be dealt with by communication and product reliability demonstration. A technical, economic and environmental validation, involving relevant stakeholders, will be carried out to nurture the European-wide replication of the ELSA concept, prepare the ground for a concrete roll out of the resulting TRL9 technologies and provide input for regulatory framework adaptation.


Grant
Agency: Cordis | Branch: H2020 | Program: IA | Phase: EeB-05-2015 | Award Amount: 4.75M | Year: 2015

OptEEmAL aims to develop an Optimised Energy Efficient Design Platform for refurbishment at district level, which will deliver an optimised, integrated and systemic design based on an Integrated Project Delivery (IPD) approach for building and district retrofitting projects, reducing time delivery and uncertainties, resulting in improved solutions when compared to business-as-usual practices. This main objective will be deployed through the following key objectives: 1. Development of a holistic and effective services platform for District Energy Efficient Retrofitting Design integrating interoperable modules and tools able to provide services for diagnosis, scenarios generation (according to stakeholders priorities), energy/ cost/ environment/ social evaluation, scenarios optimisation and data export. 2. Reinforcement of the presence of all involved stakeholders through an Integrated Project Delivery approach that will allow them being articulated through a collaborative and value-based process to deliver high-quality outcomes. 3. Development of an integrated ontology-based District Data Model that will contain key information in the fields of energy, comfort, environment (LCA), economic, social wellbeing and urban morphology. 4. Development of an Energy Conservation Measures catalogue (ECM) including technical, operational, maintenance and cost information giving valuable and consistent outputs to the design and district operation and maintenance stages. 5. Development of a bio-inspired optimization module based on Evolutionary computing with the aim to automate the decision making process to obtain the optimal design for an energy efficient retrofitting plan at district level. 6. Development of external connections of the OptEEmAL Platform to external entities (i.e. existing tools enabling the calculation of indicators to generate and optimise the retrofitting scenarios) 7. Strong disseminations, training, exploitation and market deployment strategies.

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