Agency: GTR | Branch: EPSRC | Program: | Phase: Training Grant | Award Amount: 4.08M | Year: 2014
High Performance Embedded and Distributed Systems (HiPEDS), ranging from implantable smart sensors to secure cloud service providers, offer exciting benefits to society and great opportunities for wealth creation. Although currently UK is the world leader for many technologies underpinning such systems, there is a major threat which comes from the need not only to develop good solutions for sharply focused problems, but also to embed such solutions into complex systems with many diverse aspects, such as power minimisation, performance optimisation, digital and analogue circuitry, security, dependability, analysis and verification. The narrow focus of conventional UK PhD programmes cannot bridge the skills gap that would address this threat to the UKs leadership of HiPEDS. The proposed Centre for Doctoral Training (CDT) aims to train a new generation of leaders with a systems perspective who can transform research and industry involving HiPEDS. The CDT provides a structured and vibrant training programme to train PhD students to gain expertise in a broad range of system issues, to integrate and innovate across multiple layers of the system development stack, to maximise the impact of their work, and to acquire creativity, communication, and entrepreneurial skills. The taught programme comprises a series of modules that combine technical training with group projects addressing team skills and system integration issues. Additional courses and events are designed to cover students personal development and career needs. Such a comprehensive programme is based on aligning the research-oriented elements of the training programme, an industrial internship, and rigorous doctoral research. Our focus in this CDT is on applying two cross-layer research themes: design and optimisation, and analysis and verification, to three key application areas: healthcare systems, smart cities, and the information society. Healthcare systems cover implantable and wearable sensors and their operation as an on-body system, interactions with hospital and primary care systems and medical personnel, and medical imaging and robotic surgery systems. Smart cities cover infrastructure monitoring and actuation components, including smart utilities and smart grid at unprecedented scales. Information society covers technologies for extracting, processing and distributing information for societal benefits; they include many-core and reconfigurable systems targeting a wide range of applications, from vision-based domestic appliances to public and private cloud systems for finance, social networking, and various web services. Graduates from this CDT will be aware of the challenges faced by industry and their impact. Through their broad and deep training, they will be able to address the disconnect between research prototypes and production environments, evaluate research results in realistic situations, assess design tradeoffs based on both practical constraints and theoretical models, and provide rapid translation of promising ideas into production environments. They will have the appropriate systems perspective as well as the vision and skills to become leaders in their field, capable of world-class research and its exploitation to become a global commercial success.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2009.7.2 | Award Amount: 11.54M | Year: 2010
VERITAS aims to develop, validate and assess an open framework for built-in accessibility support at all stages of ICT and non-ICT product development, including specification, design, development and testing. The goal is to introduce simulation-based and VR testing at all stages of product design and development into the automotive, smart living spaces, workplace, infotainment and personal healthcare applications areas. The goal is to ensure that future products and services are being systematically designed for all people including those with disabilities and functional limitations. Specifically, VERITAS will develop:\n\tAn Open Simulation Platform (OSP) for testing at all development stages that will provide automatic simulation feedback and reporting for guideline/methodologies compliance and quality of service.\n\tdetailed virtual user physical, cognitive, behavioural and psychological models as well as the corresponding simulation models to support simulation and testing at all stages of product planning and development.\n\taccessibility support tools at all the stages of iterative planning and development (i.e. specification, design, development, testing, evaluation) and for the five new application areas.\n\tvirtual simulation environments for ICT and non-ICT products offering tools for testing and verification mainly at the design stage but also during the development stages when links to ICT technologies are implemented.\n\ta VR simulation environment for realistic and iterative testing providing simultaneous multimodal (visual, aural, etc.) feedback to the designer/developer as well as the potential for immersive realistic simulation and virtual persona testing (i.e. the developer taking the role of the end user).\n\ta simulation environment that will support multimodal interface virtual testing in realistic scenarios that will offer the opportunity to fine tune and adapt these technologies to the specific application.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2009.3.4 | Award Amount: 4.51M | Year: 2010
There is enormous economic potential for the application of embedded optimization technologies in embedded systems design. Recent advances in the performance of embedded hardware platforms, in combination with fundamental improvements in optimization theory and algorithms, have opened the door to widespread applications over the next decade. Embedded optimization will enable huge energy and resource savings, increased safety, and improved fault detection across a wide a range of industrial applications in the mechatronic, automotive, process control and aerospace sectors. In order to realize the full potential of optimization in embedded systems, their design must also be supported by a focussed set of tools enabling the rapid transfer of novel high-performance algorithms to practical applications.\n\nThe EMBOCON consortium will enable widespread application of real-time optimization in embedded systems through:\n\n: Tailoring of customized numerical algorithms to increase their robustness and efficiency on embedded systems\n: Enabling real-time optimization on cheap industry-standard hardware platforms\n: Defining a common user interface for optimization technologies to facilitate technology transfer to industry, and\n: Performing challenging case studies in cooperation with industrial partners to demonstrate technological maturity.\n\nThe EMBOCON consortium will strengthen a network of world-leading academic and industrial partners with complementary expertise in control, optimization and embedded systems in a range of industrial applications. Particular emphasis is placed on close collaboration between mathematical algorithm developers, control theorists, hardware specialists and industrial application engineers. The network will consolidate and extend Europes position as the world research leader in these areas and foster strong collaborative links between European academia and industry.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2007.1.2 | Award Amount: 4.03M | Year: 2008
The existing licensing models for commercial applications are focusing on software used on compute resources within an administrative domain. A problem occurs when we want to use this software in a distributed service oriented infrastructure where the resources are often not in the same administrative domain that hosts the license server which is authorizing the application use. Today licenses usually are bound to hardware within the domain of the user and do not allow access from outside thus enforcing local use of the protected applications only. The Grid approach in contrary is about using distributed resources from different domains. The experience made in many recent projects trying to use commercial applications in Grid systems clearly indicates a technological barrier of current licensing mechanisms that must be overcome before the Grid becomes a fully commercial productive environment.\n\nSMARTLM solution is to implement licenses as Grid services thus providing platform-independent access just like other Grid resources. Service Level Agreements based on evolving standards will then govern licenses. Depending on the level of trust signed or encrypted, agreements will be used to transport licenses through the Grid to the resource to which a user has been granted access to execute his application tasks. The agreement on a license and the conditions of use for an application will be reached through negotiation between service providers and service customers.\n\nSMARTLM will provide new generic licensing virtualization technology based on standards as WS-Agreement and WS-Negotiation and integrate it in the major Grid middlewares. The project will also identify new service-oriented business models for this approach. A number of widely-used license-protected commercial applications will be adapted to be executed under control of the new licensing mechanisms and will become part of a highly quality show-case to convince more code-owners to adapt their applications.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2009.4.3 | Award Amount: 4.66M | Year: 2011
Data and knowledge management technologies are of strategic importance for industrial innovation, provided they are integrated in the company processes, in the organisational structure, and can be flexibly adapted to company evolution. In particular the Product Development Process (PDP) of manufacturing companies, requires the efficient management of huge amounts of data from different sources and their integration in the subprocesses that compose the product chain. The efficient use of information lifecycle, by the large adoption of virtual testing and by the inter-functional management of related data in the product management would become a strategic advantage for the innovation race. Present ICT solutions separately address parts of product development, but an integrated approach that includes data and services required for the whole Product Development Process does not yet exist.iProd will improve the efficiency and quality of the Product Development Process developing a flexible, service oriented, customer driven software framework that will be the backbone of computer systems associated with current and new development processes. To achieve these goals, iProd will rely on knowledge management (KM), knowledge based engineering (KBE) and process integration and automation technologies.iProd will assume the challenge of complexity, semantic diversity and richness of content establishing semantically rich, open and transparent methodologies that will enable knowledge workers from aerospace, automotive and home appliances industries to manage product and process complexity, managing higher value information like functional specifications, requirements, decision rationale and engineering and business knowledge in general. This knowledge base along with a reasoning engine will support information sharing, collaboration across companies, common understanding of PDP among different industries and will promote efficient decision taking.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2011.3.3 | Award Amount: 4.05M | Year: 2011
Vibration is a daily occurrence in a wide range of machinery used in industries such as manufacturing, aerospace, petro-chemical and building and construction. One of the major problems of vibration is that it causes wear and tear which in many instances can lead to equipment or structural failure. To prevent such occurrences, it is essential to not only monitor vibration levels but also to try and understand the underlying causes. This knowledge can subsequently be used to perform active vibration control which in turn improves the overall systems performance, efficiency, lifetime and safety.\nWiBRATE explores new paradigms for developing innovative strategies for wirelessly monitoring and controlling vibration using a network of intelligent embedded devices that power themselves using harvested vibration energy. The project contributes directly to strengthening the European market in several key sectors such as quality control systems, safety systems, wireless communication and industrial automation and control systems.\nWiBRATEs key innovation lies in the development of a self-powered, vibration monitoring and control platform. Unlike existing vibration monitoring devices available in the market that operate as individual entities, WiBRATEs unique approach is based on individual intelligent sensor-actuator nodes that communicate wirelessly to collaboratively predict impending failures, perform fault diagnosis or provide real-time feedback. The use of robust wireless communication strategies ensures that the system is highly flexible and allows for a new class of monitoring and control applications that are not possible using traditional wired systems.\nThe WiBRATE project will provide a complete end-to-end solution for carrying out fully automated condition-based maintenance for high vibration environments, thus totally eliminating the labour-intensive process of periodic monitoring. In addition, WiBRATEs continuous monitoring system will also provide proactive maintenance capability. Safety will be increased, since failures can be detected earlier and accidents possibly avoided. The technologies developed in WiBRATE will be demonstrated through multiple case studies in diverse domains such as automotive manufacturing, aerospace and the railway industry.\nThe project consortium includes major industrial players who are world leaders in various aspects of vibration monitoring such as Fiat Research, Honeywell Research and LMS International. This will help to enable rapid commercialisation of the technologies developed in the project. Moreover, WiBRATEs SMEs, Inertia Technology and Perpetuum will have the opportunity to diversify their existing product ranges and thus explore new markets. The academic partners will also play a leading role in training qualified systems and control engineers to serve Europes hi-tech manufacturing sectors.
Dos Santos F.L.M.,Lms International |
Anthonis J.,Lms International |
Naclerio F.,Lms International |
Gyselinck J.J.C.,Free University of Colombia |
And 2 more authors.
IEEE Transactions on Industrial Electronics | Year: 2014
This paper presents a multiphysics modeling of a switched reluctance motor (SRM) to simulate the acoustic radiation of the electrical machine. The proposed method uses a 2-D finite-element model of the motor to simulate its magnetic properties and a multiphysics mechatronic model of the motor and controls to simulate operating conditions. Magnetic forces on the stator are calculated using finite-element analysis and are used as the excitation on a forced response analysis that contains a finite-element model of the motor stator structure. Finally, sound power levels are calculated using the boundary element method. Simulation results of the model are shown and compared with experimental measurements for a four-phase 8/6 SRM. © 1982-2012 IEEE.
El-Kafafy M.,Vrije Universiteit Brussel |
Guillaume P.,Vrije Universiteit Brussel |
Peeters B.,Lms International
Mechanical Systems and Signal Processing | Year: 2013
The poly-reference Least squares Complex Frequency-domain (pLSCF) estimator - commercially known as the LMS PolyMAX estimator - is used intensively in modal analysis applications nowadays. pLSCF is non-iterative (deterministic) and relatively accurate modal parameter estimation algorithm. This algorithm has several advantages: it is polyreference, fast, numerically stable for large-bandwidth with high-model order analysis, and yields very clear stabilization diagrams even with highly noisy FRFs measurements. One drawback of the pLSCF-estimator is that it yields a poor damping estimates especially for highly damped and weakly excited modes when the FRFs are very noisy. In this contribution, an approach will be proposed to improve the accuracy of pLSCF estimator and in particular, the damping estimates in case of high noise level. The new proposed approach is a combined stochastic-deterministic frequency-domain algorithm. In this approach, a 2-step procedure is introduced to improve the damping estimates while maintaining the very clear stabilization diagrams. In the first step, a parametric Maximum Likelihood smoothing approach, which is the stochastic part, is used to remove the noise from the data and in the second step, the pLSCF estimator, which is the deterministic part, is applied to the smoothed data resulting in improved (damping) estimates. The presented algorithm is able to maintain the benefits of pLSCF and at the same time leads to an improvement of the damping estimates in highly damped and very noisy cases. In addition, the new procedure properly deals with uncertainty on the measurements where the data variance due to measurement noise is taken into account. The procedure is illustrated and tested by using simulated as well as experimental data. The presented procedure to process a highly damped noisy vibration data leads to very accurate estimates in comparison to the traditional pLSCF estimator. © 2012 Elsevier Ltd. All rights reserved.
Lms International | Date: 2011-11-30
Methods and systems are described for the identification and determination of loads by inverse analysis. A new combination of instrumentation and measurements is provided which allows accurate identification/measurement of static and/or dynamic forces, or loads, working on arbitrary test-objects or systems (i.e. test objects), through measurements of the results of the loads on the test object, signals like pressures, electrical potential, magnet flux displacement, strain, etc. This procedure allows the measurement/identification of arbitrary single or multiple loads, in arbitrary combinations, and multiple directions. The procedure also allows the measurement/identification of loads with arbitrary evolution in time, including static and dynamic loads.
Lms International | Date: 2016-04-02
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