Enschede, Netherlands

University of Twente

www.utwente.nl/en
Enschede, Netherlands

University of Twente is a university located in Enschede, Netherlands. It offers research and degree programmes in the social and behavioral science and in engineering. In keeping with its entrepreneurial spirit, the University is committed to making economic and social contribution to the region of the Netherlands where it is based. The UT collaborates with Delft University of Technology and Eindhoven University of Technology under the umbrella of the 3TU.Federation, and is also a partner in the European Consortium of Innovative Universities . Wikipedia.


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The invention relates to a mobile communication system. The mobile communication system includes a first base station configured to transmit at least part of a first data set of data segments arranged in a first sequence to a user terminal, and a second base station configured to transmit at least part of the first data set of data segments arranged in a second sequence to the user terminal, the second sequence of the first data set being an inverse of the first sequence of the first data set. The invention also relates to a coordination component, base station and user terminal for use in this system and to a method of arranging data segments in sequences performed by the coordination component. The invention further relates to a method of transmitting an acknowledgement, performed by the base station or by the user terminal.


Patent
Koninklijke KPN N.V., Tno and University of Twente | Date: 2016-12-14

The disclosure relates to a transmission node and a method for wirelessly providing a number of data packets to a plurality of receivers in a cell of a transmission node of a cellular telecommunications system. The method comprises the steps of storing a number of network coded data packets at the transmission node and cyclically transmitting the stored network coded data packets from the transmission node to the plurality of receivers. The number of transmitted network coded data packets in a cycle is at least equal to the number of data packets to be provided to each receiver of the plurality of receivers and each network coded data packet is a linear combination of two or more data packets to be provided to each receiver.


Patent
Koninklijke KPN N.V., Tno and University of Twente | Date: 2017-07-05

The disclosure relates to a transmission node and a method for wirelessly providing a number of data packets to a plurality of receivers in a cell of a transmission node of a cellular telecommunications system. The method comprises the steps of storing a number of network coded data packets at the transmission node and cyclically transmitting the stored network coded data packets from the transmission node to the plurality of receivers. The number of transmitted network coded data packets in a cycle is at least equal to the number of data packets to be provided to each receiver of the plurality of receivers and each network coded data packet is a linear combination of two or more data packets to be provided to each receiver.


The invention relates to a mobile communication system (1). The mobile communication system (1) comprises a first base station (3) configured to transmit at least part of a first data set of data segments arranged in a first sequence to a user terminal (7). The mobile communication system further comprises a second base station (5) configured to transmit at least part of the first data set of data segments arranged in a second sequence to the user terminal (7), the second sequence of the first data set being an inverse of the first sequence of the first data set. The invention also relates to a coordination component, base station and user terminal for use in this system (1) and to a method of arranging data segments in sequences performed by the coordination component. The invention further relates to a method of transmitting an acknowledgement, performed by the base station or by the user terminal. This method comprises a first step of using a data receiver to receive a first one of a plurality of data segments of a data set from a base station and/or a data segment acknowledgement acknowledging receipt of the first one of the plurality of data segments by a user terminal. This method further comprises a second step of using the data receiver to receive a last one of the plurality of data segments of the data set from the base station and/or a data set acknowledgement acknowledging receipt of the data set by the user terminal. This method also comprises a third step of using a data transmitter to transmit to a further base station a data set acknowledgment acknowledging receipt of the data set by the user terminal, while not transmitting to the further base station a data segment acknowledgment acknowledging receipt of the first one of the plurality of data segments by the user terminal. The invention further relates to a computer program product enabling a computer system to perform the methods of the invention.


Patent
Innecs B.V. and University of Twente | Date: 2017-08-02

The invention is directed to a burner 1 comprising of a burner axis 8, provided with a fuel and an oxygen comprising gas supply section 4 at an upstream end 5 and a burner front section 2 at a downstream end 3. The burner front section 2 is comprised of an inner tubular wall 7 defining an open central tubular space 22 along the burner axis 8 extending, in an upstream direction, from an open end 23 at the burner downstream end 3 to a closed end 10, and of an outer tubular wall 6 positioned around burner axis 8 and around the inner tubular wall 7 defining an annular channel 9. Further comprised of an inlet 11 for an oxygen comprising gas, swirl imparting means and an inlet 16 for the fuel.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-29-2016 | Award Amount: 5.11M | Year: 2017

X-ray mammography is the mainstay of breast cancer screening programs. It is estimated that between 20 - 50% of abnormal screening mammograms will prove to be negative. The paradigm in diagnosis is to establish whether a lesion is benign or malignant. All the imaging techniques conventionally used today diagnostic x-ray, ultrasonography and magnetic resonance imaging have many limitations, leading to multiple and/or repeat imaging and often unnecessary biopsy. This leads to physical, psychological and economic burdens felt at individual, familial and societal levels. With an aging population, high incidence of breast cancer and tightening health-care budgets, there is an urgent requirement for a non-invasive method for in-depth assessment of the screening-detected lesion. In PAMMOTH we will showcase such an imager, combining photoacoustic and ultrasound imaging. With the use of quantitative image reconstruction of multi-wavelength photoacoustic data, information is gained of the vascular and oxygen status of the lesion relating to tumor physiology and function. From the ultrasound part, we derive ultrasound reflection from the lesion in a manner superior to conventional breast ultrasonography, relating to anatomic features and extent of a tumor. This information will enable the radiologist to come to a diagnosis accurately and rapidly without the use of contrast agents, without pain and discomfort to the patient, while being cost-effective and not requiring complex infrastructure. Four excellent academic groups, three dynamic SMEs, and a hospital come together with support from key stakeholders in an Advisory group, to push beyond the state-of-the-art in science and technology to achieve the PAMMOTH imager. For the SMEs, in addition to tremendous improvements in individual product lines, the new integrated diagnostic imaging instrument opens up completely new market opportunities. We expect PAMMOTH to have a strong economic and clinical impact.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-22-2016 | Award Amount: 6.34M | Year: 2017

Next-Lab intends to change the educational landscape of science and technology education in Europe on a very large scale. The project offers a unique and extensive collection of interactive online (virtual and remote) laboratories that, through a process of mixing and re-use, can be straightforwardly and efficiently combined with dedicated support tools (learning apps) and multimedia material to truly form open, cloud-based, shareable educational resources with an embedded pedagogical structure. Next-Lab offers extensive opportunities for localisation and personalisation together with analytics facilities monitoring students progress and achievements. Next-Lab is designed to rely on full co-creation with users in combination with rapid development and testing cycles. Next-Lab builds on the highly successful (FP7) Go-Lab project that already offers online labs, inquiry learning apps, and authoring facilities for inquiry learning. To amplify the existing impact to the next-level innovation stage, Next-Lab extends the Go-Lab system with tools for the learning of 21st century skills, facilities for self- and peer-assessment and portfolio development, as well as opportunities to include learning by modeling. Next-Lab will cover secondary and also primary education, to ensure an early positive attitude towards science and technology and the continuous availability of innovative learning material throughout students school career. To guarantee long-term impact, Next-Lab also addresses the teachers of the future by its presence in pre-service teacher training programs throughout Europe. To evaluate its impact, Next-Lab combines usage data analysis techniques for very large-scale pilots with in-depth, qualitative, case-based, assessments. Next-Lab prepares for a following sustainable stage of the product. As it builds upon and extends existing networks of teachers, professional associations, and policymakers, the impact of Next-Lab will be massive.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-03-2016 | Award Amount: 4.86M | Year: 2017

The long term goal of ULPEC is to develop advanced vision applications with ultra-low power requirements and ultra-low latency. The output of the ULPEC project is a demonstrator connecting a neuromorphic event-based camera to a high speed ultra-low power consumption asynchronous visual data processing system (Spiking Neural Network with memristive synapses). Although ULPEC device aims to reach TRL 4, it is a highly application-oriented project: prospective use cases will be studied and an application roadmap will be developed, by considering interoperability for an integration in systems of systemps as well as the definition of upper power consumption limits depending on future application. The project consortium therefore includes an industrial end-user (Bosch), which will more particularly investigate autonomous and computer assisted driving. Autonomous and computer assisted driving are indeed a major disruption in the transport and car manufacturing sector. Vision and recognition of traffic event must be computed with very low latency (to improve security) and low power (to accommodate the power limited environment in a car, such as power budget and heat dissipation). Substantial impact on innovation capacity and creation of market opportunities is expected under the ULPEC project: four enterprises (two SMEs) participate to the project. The ULPEC project is an opportunity for European companies such as TSST to increase the competitiveness and increase the global market share in manufacturing tools for complex oxide thin film synthesis. Besides, a compact, low-power vision system based on the technology intended to be developed in this project would generate a distinct competitive advantage over conventional solutions and would clearly boost Chronocams market potential. ULPEC is also an opportunity for SMEs to develop stronger collaboration with the industrial leaders involved in the project, such as IBM and Bosch.


Grant
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 3.90M | Year: 2017

LubISS, Lubricant Impregnated Slippery Surfaces, is the first European Training Network with the main objectives of designing, characterizing, and modelling low adhesive easy-to-clean surfaces for anti-icing and anti-fouling. In a coordinated effort among 9 world-class academic institutions and industrial partners from 6 European countries (Finland, France, Germany, Great Britain, Netherlands, Switzerland), advanced lubricant impregnated surfaces will be developed. Drawing upon the distinguished expertise within the consortium, textured surfaces impregnated with a lubricating liquid or gel will be designed and fabricated through modern experimental preparation, multi-scale characterization methods, and high power simulation tools. With these broad capabilities, the LubISS network offers a unique training platform for Early Stage Researchers (ESRs) in a multidisciplinary research endeavor of great technological, industrial and environmental importance. The recently introduced concept of lubricant impregnated surfaces is a promising approach to reduce the adhesion of ice as well as biofilm-forming bacteria-to-surfaces. To achieve societal impact, understanding the intimate relationships between the impregnating lubricant, the surface topography, and the adhesion of ice, bacteria, or other biofouling microorganisms is critical. The general aim of this ITN is two-fold: 1) to establish a fundamental understanding between these relationships through academic and industrial collaborations in physics, chemistry, biomedicine, materials science and engineering, and 2) to educate and train young researchers in this vital area of technology. The LubISS network will investigate many aspects of lubricant impregnated surfaces, including the optimization of the lubricant stability under static and dynamic flow conditions, methods for replenishing the lubricant for long-term applications, and benchmarking against state-of-the-art surfaces.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: NMBP-18-2016 | Award Amount: 7.30M | Year: 2017

In the GRIDABLE project we will introduce novel thermoplastic polymer composite materials to enhance performance of essential components of smart grid infrastructure. We have proven in laboratory scale that the polypropylene-silica nanocomposite brings considerable improvements especially in dielectric breakdown strength. When applied as insulator in high-voltage direct current (HVDC) cable and in DC capacitors, the composite will bring significant enhancement at device level compared to the state-of-the-art. Cost and physical size of the capacitors will be reduced. Thermoplastic composite will enable cost effective production of cables by extrusion. Additionally, enhanced dielectric properties will increase HVDC transfer capacity. This will result in more efficient use of energy and materials. In the GRIDABLE project we will up-scale production of novel dielectric nanocomposite for electrical insulation applications. We will transfer materials high performance from laboratory scale to pre-production scale. This will be proven by relevant demonstrators and prototypes. The technical advances gained with novel dielectric material will facilitate to enhance power supply reliability. The new level of dielectric characteristics will help to manage volatility of the grid considering variety of power sources. Thus grid efficiency can be increased. The new HVDC cables will allow efficient electricity transfer over very long distances, e.g., from remote low-carbon power plants. This will also ease utilisation of distributed and intermittent renewable energy sources.

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