The Fachhochschule Vorarlberg / FHV in Dornbirn, Austria is a leading Austrian University of applied science . Its charter is to provide degree programmes with a direct link to work practice. 1,200 students are currently enrolled in bachelor’s and master’s degrees in the areas of business, engineering, design and the social science. FHV enjoys excellent relations with business and industry in Vorarlberg. Many of the companies are world leaders or among world leaders in their areas. Close cooperation with these top companies means that students can choose from a range of internships and graduates have excellent job prospects. The number of research contracts from business and industry is proof of FHV’s strong links to high-tech companies. One example: in January 2014, a Ressel Centre for microtechnology will be inaugurated at FHV. Wikipedia.
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: ICT-2009.6.1 | Award Amount: 1.95M | Year: 2010
Logistics for LIFE brings together leading logistic companies, technology providers and research organizations working on innovative ICT solutions to ensure long-term sustainability of the logistic industry by increasing its operational efficiency. The project is motivated by freight transport heavy reliance on fossil fuel, its contribution to CO2 emissions and by its impact on the environment and quality of life. These issues are counterbalanced by considerations specific to the logistics industry, where attempts to direct cargo towards environment friendly transport modes are failing to meet expectations and firms face problems of volatile fuel prices, infrastructures saturation and low margins typical of a commoditized sector.\nLogistics for LIFE will drive European ICT for Transport research in the direction of making logistic operations more efficient, and thus more environmentally friendly, financially and socially sustainable on the long term. The following results will be achieved: 1) a multi-disciplinary network pursuing efficiency-related initiatives within EU, international or industrial programs, and attracting key stakeholders through a dedicated Forum; 2) a reference framework linking the stakeholders efficiency requirements to sustainability strategic objectives and to relevant ICT solutions; 3) a strategic roadmap including concrete actions and strategies for ICT solutions implementation; 4) coordinated dissemination activities and 5) a common working platform aimed at the community of users and researchers pursuing ICT-based logistics sustainability.\nThe Logistics for LIFE Consortium is formed by 19 partners including global leaders in logistics, vehicle and technology manufacturing, ICT companies and research organizations representing some of the major initiatives and research projects in the field. International Cooperation partners from China, US and Eastern Europe are part of the Consortium or expressed their interest in Forum participation.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2007.3.1 | Award Amount: 16.69M | Year: 2008
In the CMOS manufacturing environment, the mask-based optical lithography technique is up to now the driving solution to deal with all industry concerns. Nevertheless, this solution becomes less effective for each new technology node. Effectively, it requires more and more complex and expensive masks due to the introduction of optical proximity correction and phase shift techniques. The blow up of the tool price plays also an important role in the overall cost of ownership of this technique. This trend opens opportunities for the Mask-Less Lithography (ML2) technology, based on multi-beam principles and developed by the two European companies MAPPER and IMS Nanofabrication AG. The cost effective model of the ML2 option in association with the high resolution capability of the electron lithography and a reasonable throughput target represents an attractive alternative for lithography and is supported by some key CMOS manufacturers around the world, like TSMC, STMicroelectronics, QIMONDA, TOSHIBA, and Texas Instruments...This project proposes to support the development of ML2 technology in Europe. It is composed of two linked poles. The first one will be focused on MAPPER and IMS-NANO tool developments with the objective to deliver a first ML2 alpha platform compatible for 32nm half pitch technology before 2010, aligned with the semiconductor manufacturer requirements. In relation with this activity, the program will develop the required infrastructure for the usage of these tools in an industrial environment. Among the tasks to be addressed, there is the delivery of a reliable software platform to treat the data base preparation and to provide solution for ML2 related electron beam proximity effects. The last concern of this project will be to demonstrate the ability to integrate CMOS processes in real manufacturing conditions on the ML2 platforms developed by the tool partners.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2007.6.1 | Award Amount: 13.95M | Year: 2008
EURIDICE is an Integrating project that will create the necessary concepts, technological solutions and business models to establish an information services platform centred on the context of individual cargo items and their interaction with the surrounding environment and the types of users. The EURIDICE platform will simultaneously improve the logistics, business processes and public policy aspects of freight transportation, by dynamically combining services at different levels: Immediate proximity of a RFID tagged cargo item, mobile users and vehicle services; Producer Shipper and Carrier Supply chain including qualification, handling and routing; Freight corridor, represented by authority and infrastructure services including authorisation, security and safety control. The EURIDICE platform will support on the fly combination of services between user, context and cargo improving and integrating a number of advanced technologies, including: Service-oriented architectures incorporating mobile technologies, interoperability between heterogeneous environments and advanced security features: semantic web and domain ontologies, for automated discovery of services associated to any specific cargo item, context and user request; advanced context technologies, for combination of item, vehicle and user IDs with automatically detected conditions like, e.g., position and status of cargo; distributed intelligent agents, for optimisation, anomaly and threat detection (alerting) and decisions support. The beneficiaries of the EURIDICE platform will be a variety of private and public sector including: industrial companies, for proactive, real-time bottom-up monitoring of goods, logistic services providers, for synchronization of schedules across multi-modal routes, public authorities, for automated security and public safety control, infrastructures, for emergency management and congestion prevention.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2007.1.6 | Award Amount: 5.29M | Year: 2008
PERIMETERs main objective is to establish a new paradigm of user-centricity for advanced networking. In contrast to network-centric approaches, user-centric strategies could achieve true seamless mobility. Putting the user at the centre rather than the operator enables the user to control his or her identity, preferences and credentials, and so seamless mobility is streamlined, enabling mobile users to be Always Best Connected in multiple-access multiple-operator networks of the Future Internet.For that, PERIMETER will develop and implement protocols designed to cope with increased scale, complexity, mobility and requirements for privacy, security, resilience and transparency of the Future Internet. These include appropriate mechanisms for network selection based on Quality of Experience; innovative implementation of Distributed A3M protocols for Fast Authentication, Authorisation and Accounting based on privacy-preserving digital identity models. All these mechanisms will be designed to be independent from the underlying networking technology and service provider, so that fast, inter-technology handovers will be possible.PERIMETER will also develop and implement middleware that support generic Quality of Experience models, signalling and content adaptation, and exemplary extension applications and services for user-centric seamless mobility.The paradigms of user-centric seamless mobility, middleware components and its integrated applications and services will be tested in two large-scale interconnected testbeds on real users, in three cycles of increasingly complex scenarios. The results will be used for assessment of user centricity.The realization of user-centric paradigm will revolutionise mobile communications. It will impact seamless mobility, issues of security and privacy, standards and future research, and it will maintain Europes leading position in the race to define and develop the network and service infrastructures of the Future Internet.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.6.6 | Award Amount: 17.14M | Year: 2011
iCargo IP aims at advancing and extending the use of ICT to support new logistics services that: (i) synchronize vehicle movements and logistics operations across various modes and actors to lower CO2 emissions, (ii) adapt to changing conditions through dynamic planning methods involving intelligent cargo, vehicle and infrastructure systems and (iii) combine services, resources and information from different stakeholders, taking part in an open freight management ecosystem. To achieve the above targets, iCargo will design and implement a decentralized ICT infrastructure that allows real world objects, new planning services including CO2 calculation capabilities and existing systems to co-exist and efficiently co-operate at an affordable cost for logistics stakeholders. iCargo infrastructure will include Intelligent Cargo items to facilitate automated reactive decision-making and to integrate information obtained from on-going execution (all modes) into planning processes to optimize environmental performances, including real-time information about traffic and transport infrastructure conditions. iCargo involves representatives of the main stakeholders in three main areas of activity: (i) research and technological development, involving leading ICT companies and institutes to integrate in iCargo the necessary technology components, including results from key related EU projects, and to develop innovative approaches and business models for co-modal transport environmental optimization and dynamic planning; (ii) implementation, demonstration and validation of three extensive pilots in end-to-end multi-actor intermodal chains, involving users from logistics companies, shippers and public authorities; (iii) extensive dissemination of research results, demonstration and pilot cases validation activities, aimed at transferring iCargo results to the international transport logistics community and supporting take-up and extensive exploitation immediately after the project
Akolkar A.,University of Florida |
Petrasch J.,Vorarlberg University of Applied Sciences
Transport in Porous Media | Year: 2012
Numerical simulations to characterize fluid flow through porous media have been carried out using tomography-derived real geometry data that has been manipulated using digital image processing techniques to obtain a wide range of porosities. Two kinds of porous media have been analyzed: (a) a reticulated porous ceramic (RPC) foam and (b) a packed bed of CaCO 3 particles. The porosity of the media is varied via morphological operations between 0.727 and 0.913 in case of the RPC and between 0.329 and 0.824 in case of the packed bed. A mesh generator based on the pore space indicator function is then used to generate unstructured tetrahedral grids from the processed tomography data. Fluid flow simulations are carried out for Reynolds numbers ranging from 0.1 to 200 and the results are used to determine the permeability and the Dupuit-Forchheimer coefficient in each case. The results are then compared with existing analytical models and the applicability of the models is examined. In the RPC case, the Happel-Brenner (parallel-flow) model predicts the permeability with a normalized root mean square error (NRMSE) of 11.8 % across the porosity range and Modified Ergun (Macdonald et. al) model predicts the Dupuit-Forchheimer coefficient within a NRMSE of 13.5 %. In the packed-bed case, the Brinkman drag model predicts the permeability within a NRMSE of 8.26 % across the porosity range and the Modified Ergun model predicts the Dupuit-Forchheimer coefficient within an NRMSE of 5.94 %. For each material, an adjusted Kozeny constant is determined. For the RPC, the Kozeny constant is evaluated at 7.73 and for the CaCO 3 packed bed, it is found to be 6.10, leading to predictions of the permeability with an NRMSE of 4.16 and 3.37 %, respectively. © 2012 Springer Science+Business Media B.V.
Beyer H.-G.,Vorarlberg University of Applied Sciences
Evolutionary Computation | Year: 2014
The convergence behaviors of so-called natural evolution strategies (NES) and of the information-geometric optimization (IGO) approach are considered. After a review of the NES/IGO ideas, which are based on information geometry, the implications of this philosophy w.r.t. optimization dynamics are investigated considering the optimization performance on the class of positive quadratic objective functions (the ellipsoid model). Exact differential equations describing the approach to the optimizer are derived and solved. It is rigorously shown that the original NES philosophy optimizing the expected value of the objective functions leads to very slow (i.e., sublinear) convergence toward the optimizer. This is the real reason why state of the art implementations of IGO algorithms optimize the expected value of transformed objective functions, for example, by utility functions based on ranking. It is shown that these utility functions are localized fitness functions that change during the IGO flow. The governing differential equations describing this flow are derived. In the case of convergence, the solutions to these equations exhibit an exponentially fast approach to the optimizer (i.e., linear convergence order). Furthermore, it is proven that the IGO philosophy leads to an adaptation of the covariance matrix that equals in the asymptotic limit—up to a scalar factor—the inverse of the Hessian of the objective function considered. © 2014 by the Massachusetts Institute of Technology.
Kriz W.C.,Vorarlberg University of Applied Sciences
Simulation and Gaming | Year: 2010
This article introduces some basic concepts of a systemic-constructivist perspective. These show that gaming simulation corresponds closely to a systemic-constructivist approach to learning and instruction. Some quality aspects of facilitating and debriefing simulation games are described from a systemic-constructivist point of view. Finally, a structure for debriefing, and some concrete examples of systemic-constructivist debriefing-methods are presented. © 2010 SAGE Publications.
Beyer H.-G.,Vorarlberg University of Applied Sciences |
Finck S.,Vorarlberg University of Applied Sciences |
Breuer T.,Vorarlberg University of Applied Sciences
Swarm and Evolutionary Computation | Year: 2014
Scenario-based optimization is a problem class often occurring in finance, planning and control. While the standard approach is usually based on linear stochastic programming, this paper develops an Evolution Strategy (ES) that can be used to treat nonlinear planning problems arising from Value at Risk (VaR)-constraints and not necessarily proportional transaction costs. Due to the VaR-constraints the optimization problem is generally of non-convex type and its decision version is already NP-complete. The developed ES is the first algorithm in the field of evolutionary and swarm intelligence that tackles this kind of optimization problem. The algorithm design is based on the covariance matrix self-adaptation ES (CMSA-ES). The optimization is performed on scenario trees where in each node specific constraints (balance equations) must be fulfilled. In order to evaluate the performance of the ES proposed, instances of increasing problem hardness are considered. The application to the general case with nonlinear node constraints shows not only the potential of the ES designed, but also its limitations. The latter are basically determined by the high dimensionalities of the search spaces defined by the scenario trees. © 2014 Elsevier B.V.
Beyer H.-G.,Vorarlberg University of Applied Sciences |
Finck S.,Vorarlberg University of Applied Sciences
IEEE Transactions on Evolutionary Computation | Year: 2012
This paper describes the algorithm's engineering of a covariance matrix self-adaptation evolution strategy (CMSA-ES) for solving a mixed linear/nonlinear constrained optimization problem arising in portfolio optimization. While the feasible solution space is defined by the (probabilistic) simplex, the nonlinearity comes in by a cardinality constraint bounding the number of linear inequalities violated. This gives rise to a nonconvex optimization problem. The design is based on the CMSA-ES and relies on three specific techniques to fulfill the different constraints. The resulting algorithm is then thoroughly tested on a data set derived from time series data of the Dow Jones Index. © 2012 IEEE.