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Dornbirn, Austria

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.

Beyer H.-G.,Vorarlberg University of Applied Sciences
Evolutionary Computation

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. Source

Mochalski P.,University of Innsbruck | Unterkofler K.,Vorarlberg University of Applied Sciences | Hinterhuber H.,Innsbruck Medical University | Amann A.,University of Innsbruck | Amann A.,Innsbruck Medical University
Analytical Chemistry

Selective reagent ionization time-of-flight mass spectrometry with NO + as the reagent ion (SRI-TOF-MS (NO+)) was applied for near real-time monitoring of selected skin-borne constituents which are potential markers of human presence. The experimental protocol involved a group of 10 healthy volunteers enclosed in a body plethysmography chamber mimicking the entrapment environment. A total of 12 preselected omnipresent in human scent volatiles were quantitatively monitored. Among them there were six aldehydes (n-propanal, n-hexanal, n-heptanal, n-octanal, n-nonanal, and 2 methyl 2-propenal), four ketones (acetone, 2-butanone, 3-buten-2-one, and 6-methyl-5-hepten-2-one), one hydrocarbon (2-methyl 2-pentene), and one terpene (DL-limonene). The observed median emission rates ranged from 0.28 to 44.8 nmol × person-1 × min-1 (16-1530 fmol × cm-2 × min-1). Within the compounds under study, ketones in general and acetone in particular exhibited the highest abundances. The findings of this study provide invaluable information about formation and evolution of a human-specific chemical fingerprint, which could be used for the early location of entrapped victims during urban search and rescue operations (USaR). © 2014 American Chemical Society. Source

Ritter W.,Vorarlberg University of Applied Sciences
Advances in Human-Computer Interaction

A lot of efforts have been directed to enriching human-computer interaction to make the user experience more pleasing or efficient. In this paper, we briefly present work in the fields of subliminal perception and affective computing, before we outline a new approach to add analog communication channels to the human-computer interaction experience. In this approach, in addition to symbolic predefined mappings of input to output, a subliminal feedback loop is used that provides feedback in evolutionary subliminal steps. In two studies involving concentration-intensive games, we investigated the impact of this approach. In a first study evolutionary feedback loops adjusted the user interface of a memory game whereas in the second study the lighting of the test room was adjusted dynamically. The results show that in settings with an evolutionary feedback loop test participants were able to reach significantly higher scores compared to the static counterparts. Finally, we discuss the impact that such subliminally working applications might have on the user's acceptance. Copyright © 2011 Walter Ritter. Source

Agency: Cordis | 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

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. Source

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