TY - CHAP A1 - Gebhardt, Andreas T1 - Technology Diffusion through a Multi-Level Technology Transfer Infrastructure. Contribution to the 1st. All Africa Technology Diffusion Conference Boksburg, South Africa June 12th - 14th 2006 N2 - Table of contents 1. Introduction 2. Multi-level Technology Transfer Infrastructure 2.1 Level 1: University Education – Encourage the Idea of becoming an Entrepreneur 2.2 Level 2: Post Graduate Education – Improve your skills and focus it on a product family. 2.3 Level 3: Birth of a Company – Focus your skills on a product and a market segment. 2.4 Level 4: Ready to stand alone – Set up your own business 2.5 Level 5: Grow to be Strong – Develop your business 2.6 Level 6: Competitive and independent – Stay innovative. 3. Samples 3.1 Sample 1: Laser Processing and Consulting Centre, LBBZ 3.2 Sample 2: Prototyping Centre, CP 4. Funding - Waste money or even lost Money? 5. Conclusion KW - Technologietransfer KW - technology transfer KW - technology diffusion Y1 - 2006 ER - TY - CHAP A1 - Becker, Astrid T1 - Anlagenmanagement und Aufgaben der DB Netz AG, Bauherrenvertretung und Wirtschaftlichkeit N2 - In: Alfha.net / Sektion Bauingenieurwesen: 1. [Erster] Erfahrungsaustausch : Absolventen des Fachbereichs Bauingenieurwesens berichten. 13. Oktober 2006. S. 18 Übersicht des Vortrags KW - Anlagenwirtschaft KW - Bauherrenvertretung KW - Deutsche Bahn Netz AG Y1 - 2006 ER - TY - CHAP A1 - Wellmann, Judith T1 - Perspektiven eines Bauingenieurs im konstruktiven Ingenieurbau N2 - In: Alfha.net / Sektion Bauingenieurwesen: 1. [Erster] Erfahrungsaustausch : Absolventen des Fachbereichs Bauingenieurwesens berichten. 13. Oktober 2006. S. 7-12 Die Berufsperspektiven im konstruktiven Ingenieurbau werden trotz sinkendem Bedarf an Statikern positiv bewertet. KW - Ingenieurbau KW - Konstruktiver Ingenieurbau KW - Statiker KW - Berufsperspektiven Y1 - 2006 ER - TY - CHAP A1 - Merten, Sabine A1 - Kämper, Klaus-Peter A1 - Brill, Manfred A1 - Picard, Antoni A1 - Cassel, Detlev A1 - Jentsch, Andreas A1 - Rollwa, Markus T1 - Virtuelle Sensor-Fertigung: Hightech mit LabVIEW N2 - Eine neue Generation von Praktika an Hochschulen wächst heran. Moderne Wege beim Verstehen und Erlernen naturwissenschaftlicher Zusammenhänge sowie industrieller Fertigungsprozesse sind gefordert. Das Technologiepraktikum „Virtuelle Sensor- Fertigung“, entwickelt im Verbundprojekt INGMEDIA an den Fachhochschulen Aachen und Zweibrücken, trägt als neuartiges Lern- und Lehrmodul dieser Forderung Rechnung. Die Studierenden lernen einen vollständigen Fertigungsprozess mit Hilfe von virtuellen, in LabVIEW programmierten Maschinen kennen, bevor sie die reale Prozesskette im Reinraum durchführen. N2 - A new generation of university laboratory courses is presently being developed. Modern concepts for the understanding and learning of applied science and industrial fabrication processes are required. The technology course “Fabrication of a microsensor”, developed by the Universities of Applied Sciences Aachen and Zweibrücken in the joint research project INGMEDIA, represents a new approach towards education in high technology production. The students learn the operation of the complex microfabrication line with the help of virtual fabrication machines, programmed in LabVIEW, before they perform the actual process in a genuine clean room. KW - LabVIEW KW - Virtuelle Sensor-Fertigung KW - Fertigungsprozess KW - virtuelle Maschinen KW - virtual sensor fabrication KW - manufacturing process KW - virtual KW - virtual machines Y1 - 2003 ER - TY - CHAP A1 - Merten, Sabine A1 - Kämper, Klaus-Peter A1 - Brill, Manfred A1 - Picard, Antoni A1 - Cassel, Detlev A1 - Jentsch, Andreas A1 - Rollwa, Markus T1 - Vom virtuellen Wafer zum realen Drucksensor N2 - Das Technologiepraktikum „Virtuelle Sensor-Fertigung“ ist ein Beispiel für die medientechnische Aufbereitung von Lern- und Lehrmaterial unter didaktischen Gesichtspunkten. Studierende lernen einen Fertigungsprozess mit Hilfe von virtuellen Maschinen kennen, bevor sie die reale Prozesskette im Laborpraktikum im Reinraum durchführen. N2 - The technology course “Fabrication of a microsensor” represents a multimediabased approach towards education in high technology production in consideration of didactical aspects. The students learn the operation of a complex microfabrication line with the help of virtual fabrication machines before they perform the actual process in a hands-on training in an actual clean room. KW - Virtuelle Maschine KW - VM KW - Virtuelle Sensor-Fertigung KW - virtual fabrication of a microsensor Y1 - 2003 ER - TY - CHAP A1 - Wagner, Torsten A1 - Schöning, Michael Josef T1 - Preface of the Special Issue of I3S 2005 in Jülich (Germany) N2 - International Symposium on Sensor Science, I3S 2005 <3; 2005; Juelich, Germany> In: Sensors 2006, 6, 260-261 ISSN 1424-8220 KW - Biosensor KW - I3S 2005 KW - International Symposium on Sensor Science Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:a96-opus-1365 ER - TY - CHAP A1 - Srivastava, Alok A1 - Singh, Virendra A1 - Dhand, Chetna A1 - Kaur, Manindar A1 - Singh, Tejvir A1 - Witte, Katrin A1 - Scherer, Ulrich W. T1 - Study of swift heavy ion modified conduction polymer composites for application as gas sensor N2 - A polyaniline-based conducting composite was prepared by oxidative polymerisation of aniline in a polyvinylchloride (PVC) matrix. The coherent free standing thin films of the composite were prepared by a solution casting method. The polyvinyl chloride-polyaniline composites exposed to 120 MeV ions of silicon with total ion fluence ranging from 1011 to 1013 ions/cm2, were observed to be more sensitive towards ammonia gas than the unirradiated composite. The response time of the irradiated composites was observed to be comparably shorter. We report for the first time the application of swift heavy ion modified insulating polymer conducting polymer (IPCP) composites for sensing of ammonia gas. KW - Biosensor KW - Conducing polymer KW - ammonia gas sensors KW - swift heavy ions KW - polymer composites Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:a96-opus-1345 ER - TY - CHAP A1 - Chaiyboun, Ali A1 - Traute, Rüdiger A1 - Kiesewetter, Olaf A1 - Ahlers, Simon A1 - Müller, Gerhard A1 - Doll, Theodor T1 - Modular analytical multicomponent analysis in gas sensor arrays N2 - A multi-sensor system is a chemical sensor system which quantitatively and qualitatively records gases with a combination of cross-sensitive gas sensor arrays and pattern recognition software. This paper addresses the issue of data analysis for identification of gases in a gas sensor array. We introduce a software tool for gas sensor array configuration and simulation. It concerns thereby about a modular software package for the acquisition of data of different sensors. A signal evaluation algorithm referred to as matrix method was used specifically for the software tool. This matrix method computes the gas concentrations from the signals of a sensor array. The software tool was used for the simulation of an array of five sensors to determine gas concentration of CH4, NH3, H2, CO and C2H5OH. The results of the present simulated sensor array indicate that the software tool is capable of the following: (a) identify a gas independently of its concentration; (b) estimate the concentration of the gas, even if the system was not previously exposed to this concentration; (c) tell when a gas concentration exceeds a certain value. A gas sensor data base was build for the configuration of the software. With the data base one can create, generate and manage scenarios and source files for the simulation. With the gas sensor data base and the simulation software an on-line Web-based version was developed, with which the user can configure and simulate sensor arrays on-line. KW - Biosensor KW - Main sensitivity KW - cross sensitivity KW - matrix method KW - gas sensor array KW - modelling Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:a96-opus-1358 ER - TY - CHAP A1 - Sakthivel, Mariappan A1 - Weppner, Werner T1 - Response behaviour of a hydrogen sensor based on ionic conducting polymer-metal interfaces prepared by the chemical reduction method N2 - A solid-state amperometric hydrogen sensor based on a protonated Nafion membrane and catalytic active electrode operating at room temperature was fabricated and tested. Ionic conducting polymer-metal electrode interfaces were prepared chemically by using the impregnation-reduction method. The polymer membrane was impregnated with tetra-ammine platinum chloride hydrate and the metal ions were subsequently reduced by using either sodium tetrahydroborate or potassium tetrahydroborate. The hydrogen sensing characteristics with air as reference gas is reported. The sensors were capable of detecting hydrogen concentrations from 10 ppm to 10% in nitrogen. The response time was in the range of 10-30 s and a stable linear current output was observed. The thin Pt films were characterized by XRD, Infrared Spectroscopy, Optical Microscopy, Atomic Force Microscopy, Scanning Electron Microscopy and EDAX. KW - Biosensor KW - Hydrogen sensor KW - amperometric sensor KW - porous Pt electrode KW - chemical reduction method Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:a96-opus-1399 ER - TY - CHAP A1 - Koplin, Tobias J. A1 - Siemons, Maike A1 - Océn-Valéntin, César A1 - Sanders, Daniel A1 - Simon, Ulrich T1 - Workflow for high throughput screening of gas sensing materials N2 - The workflow of a high throughput screening setup for the rapid identification of new and improved sensor materials is presented. The polyol method was applied to prepare nanoparticular metal oxides as base materials, which were functionalised by surface doping. Using multi-electrode substrates and high throughput impedance spectroscopy (HT-IS) a wide range of materials could be screened in a short time. Applying HT-IS in search of new selective gas sensing materials a NO2-tolerant NO sensing material with reduced sensitivities towards other test gases was identified based on iridium doped zinc oxide. Analogous behaviour was observed for iridium doped indium oxide. KW - Biosensor KW - High throughput experimentation KW - gas sensor KW - metal oxide KW - doping KW - impedance spectroscopy KW - nitrogen oxides Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:a96-opus-1407 ER -