Conference Proceeding
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Author
- Christoph Butenweg (121)
- Jörg Wollert (81)
- Alexander Ferrein (56)
- Bernd Dachwald (53)
- Michael Josef Schöning (50)
- Daniel B. Bung (47)
- Ulf Herrmann (45)
- Bernhard Hoffschmidt (44)
- Markus Schleser (41)
- Carsten Braun (37)
- Cristiano José Teixeira Boura (32)
- Manfred Staat (31)
- Harald Funke (27)
- Thomas Ritz (27)
- Uwe Reisgen (27)
- Klemens Schwarzer (26)
- Joachim Göttsche (25)
- Mathias Eggert (25)
- Snjezana Gligorevic (25)
- Spiros Alexopoulos (24)
- Thorsten Ringbeck (24)
- Arshak Poghossian (23)
- Felix Finger (23)
- Lena Altherr (23)
- Stefan Schiffer (23)
- Andreas Gebhardt (22)
- Michael Meliß (22)
- Martin Wolf (21)
- Michael Bragard (20)
- Bodo Kraft (18)
- Christian Czarnecki (18)
- Isabel Kuperjans (18)
- Raphael Pfaff (18)
- Bernd Buxbaum (17)
- Gerhard Lakemeyer (16)
- Holger Heuermann (16)
- Nils Tippkötter (16)
- Peter F. Pelz (16)
- Rudolf Schwarte (16)
- Wolfgang Seboldt (16)
- Albert Zündorf (15)
- Cees Bil (15)
- Jan Thimo Grundmann (15)
- Konstantin Meskouris (15)
- Volker Schürmann (15)
- Daniel Valero (14)
- Patric Seefeldt (14)
- Anette Anthrakidis (13)
- Caroline Lange (13)
- Jan Keinz (13)
- Julia Rosin (13)
- Jörg Becker (13)
- Karsten Müller (13)
- Linda Steuer-Dankert (13)
- Marko Schuba (13)
- Stephan Kallweit (13)
- Thomas Esch (13)
- Alexander Kern (12)
- Bernd Döring (12)
- Falk Götten (12)
- Ingrid Scholl (12)
- Thomas Uibel (12)
- Alessandro Peloni (11)
- Andreas Bitz (11)
- Aurel Buda (11)
- Carmen Leicht-Scholten (11)
- Jessica Ulmer (11)
- Julia Kowalski (11)
- Michael Schnell (11)
- Sebastian Braun (11)
- Sven Klinkel (11)
- Torsten Wagner (11)
- [u.a.] (10)
- Andreas Vedral (10)
- Christian D. Grimm (10)
- Felix Hüning (10)
- Kirsten Albracht (10)
- Marko Marinković (10)
- Markus Sauerborn (10)
- Matteo Ceriotti (10)
- Oliver Schmidts (10)
- Ralf Knackstedt (10)
- Tom Spröwitz (10)
- Ansgar Kirsch (9)
- Atsushi Horikawa (9)
- Christian Faber (9)
- Christian Schwager (9)
- Dominik Quantius (9)
- Elisabet Wejmo (9)
- Etienne Dumont (9)
- Frank Späte (9)
- Ingo Elsen (9)
- Kaname Sasaki (9)
- Klaus Dilger (9)
- Mario Oertel (9)
- Mark Hellmanns (9)
- Mark Schmitz (9)
- Markus Feldmann (9)
- Miriam Barnat (9)
- Peter Spietz (9)
- Tim Niemueller (9)
- Ulrich Dilthey (9)
- Andreas Schlenkhoff (8)
- Chi-Tsun Cheng (8)
- Frederik Werner (8)
- Gerd Breitbach (8)
- Hans-Wilhelm Höfken (8)
- Heinz Berndt (8)
- Jens Biele (8)
- Jens Schoene (8)
- Johannes Riemann (8)
- Marc Havermann (8)
- Michael Ruffer (8)
- Miranda Fateri (8)
- Patrick Wagner (8)
- Ricardo Alexander Chico Caminos (8)
- Roy Lichtenheldt (8)
- Sinja Brandes (8)
- Thomas Kubalski (8)
- Tobias Weber (8)
- Torsten Schlurmann (8)
- Tra-Mi Ho (8)
- Waldemar Bauer (8)
- Andreas Gömmel (7)
- Christian Ziach (7)
- Christoph Gellert (7)
- Christoph Rau (7)
- Dirk Abel (7)
- Federico Cordero (7)
- Günther Schuh (7)
- Hans Kemper (7)
- Ivanka Pelivan (7)
- Johannes Alexander König (7)
- Johannes, Christoph Sattler (7)
- Karl-Heinz Schartner (7)
- Karsten Kusterer (7)
- Laura Thurn (7)
- M. Kazari (7)
- Maciej Sznajder (7)
- Marc Schreiber (7)
- Markus Kuhnhenne (7)
- Martin Pieper (7)
- Matthias Bäcker (7)
- Michael Reke (7)
- Nicolas Limpert (7)
- Nicole Schmitz (7)
- Okyay Altay (7)
- Peter Dahmann (7)
- Peter Schwarzbözl (7)
- Philipp Leise (7)
- R. Ulber (7)
- R. W. De Doncker (7)
- Ralf Frotscher (7)
- Rico Jahnke (7)
- Rolf Fritz Groß (7)
- Rostislav Chudoba (7)
- Sebastian Reuter (7)
- Sergio Montenegro (7)
- Siebo Reershemius (7)
- Stefan Böhm (7)
- Thomas Renger (7)
- Thorsten Ederer (7)
- Tobias Mikschl (7)
- Tobias Neumann (7)
- Eckardt Augenstein (6)
- Eugen Mikulz (6)
- Friederike Wolff (6)
- Gert-Peter Brüggemann (6)
- Heike Matcha (6)
- Horst-Peter Dören (6)
- Ilya Digel (6)
- J. Streckert (6)
- Jakob Strauch (6)
- Jin Park (6)
- Josef Ballmann (6)
- Jürgen Dersch (6)
- Malte Kob (6)
- Mattea Müller-Veggian (6)
- Michael Wahle (6)
- Ngoc Trinh Tran (6)
- Nils Beckmann (6)
- Norbert Toth (6)
- Philipp Kohl (6)
- Sabina Jeschke (6)
- T. Yoshinobu (6)
- Thomas Gries (6)
- Tim Niemüller (6)
- Tobias Frauenrath (6)
- A. Haj Ayed (5)
- A. Horikawa (5)
- A. Neskakis (5)
- Anke Fissabre (5)
- Aroj Bhattarai (5)
- Bjoern Braunstein (5)
- Britta Fuchs (5)
- Christian Krause (5)
- Christoph Rihacek (5)
- Christoph Schopp (5)
- Elmar Engels (5)
- Engelbert Plescher (5)
- Faraj Alhwarin (5)
- Georg Thierauf (5)
- Gerald Steinbauer (5)
- Heiko Engemann (5)
- Henry Price (5)
- J. Kitajima (5)
- Joachim P. Kloock (5)
- Johannes Christoph Sattler (5)
- Julian Schirra (5)
- K. Okada (5)
- Konstantin Kotliar (5)
- Kunio Okada (5)
- Lars Klöser (5)
- Lukas Reindl (5)
- M. Oertel (5)
- Markus Czupalla (5)
- Martina Ziefle (5)
- Mehdi Behbahani (5)
- Michael Keusgen (5)
- Michael Mistler (5)
- Miodrag Sajatovic (5)
- Oleg Mokrov (5)
- P. Hendrick (5)
- Pascal Schmitz (5)
- Ralf Boden (5)
- Robert Pitz-Paal (5)
- S. Schmitz (5)
- Sebastian Börner (5)
- Sebastian Damm (5)
- Steve Dowey (5)
- Sven Scheik (5)
- Tatsuo Yoshinobu (5)
- Thilo Röth (5)
- Thomas Bronder (5)
- Thoralf Niendorf (5)
- Timm Achenbach (5)
- V.W. Hansen (5)
- Wolfram Kuhlmann (5)
- Wolfram Pietsch (5)
- Zhanping Xu (5)
- Agnes Großmann (4)
- Alexander Jung (4)
- Alexander Koncz (4)
- Alexander Mertens (4)
- Andreas Ohndorf (4)
- Arash Sadeghfam (4)
- Axel Winkelmann (4)
- Barbara Fricke (4)
- Benjamin Gerhards (4)
- Bruce Kelly (4)
- Christian Drumm (4)
- Christian Schorn (4)
- Christina Huck (4)
- Chunsheng Wu (4)
- Daniel Goldbach (4)
- David Herčík (4)
- Eldar Sultanow (4)
- Elena Dumova-Jovanoska (4)
- F. Späte (4)
- Fabian Eichler (4)
- Frank Bensberg (4)
- Frank Janser (4)
- Georg Herdrich (4)
- Georg Herzwurm (4)
- Giulia Viavattene (4)
- Gunnar Auth (4)
- Hannah Dammers (4)
- Hans Joachim Blaß (4)
- Hans-Jürgen Raatschen (4)
- Hartwig Höcker (4)
- Helmut Alt (4)
- Horst-Guenther Heinol (4)
- Iain Moore (4)
- J. Andersson (4)
- Jan Oberländer (4)
- Jan-Christoph Arent (4)
- Jonas Ludowicy (4)
- Julia Kessler (4)
- Jörg Kreyer (4)
- K. Kusterer (4)
- Klaus-Peter Dielmann (4)
- M. Schmitz (4)
- Manfred Enning (4)
- Manfred Wirsum (4)
- Marcel Heddier (4)
- Marko Marinkovic (4)
- Matthew Marino (4)
- N. Ahlbrink (4)
- Nicolae Balc (4)
- Norbert Tóth (4)
- P. Nava (4)
- Patrick Kirchner (4)
- Peter Middendorf (4)
- Philipp Brauner (4)
- Philipp Michel (4)
- Philippe Renault (4)
- Ramona Wallenborn (4)
- René Rings (4)
- Roland Antonius Gabrielli (4)
- S. Möhring (4)
- Saskia K. Nagel (4)
- Sebastian Schusser (4)
- Simon Tardivel (4)
- Stefan Schmitz (4)
- Stefanos Fasoulas (4)
- Stephan Ulamec (4)
- Sylvester Abanteriba (4)
- Thomas Hartz (4)
- Thomas Harzheim (4)
- Till Hofmann (4)
- Tim Höhne (4)
- Tim M. Müller (4)
- Verena Nitsch (4)
- Victor Francisco Chavez Bermudez (4)
- Victor Mataré (4)
- Volker Maiwald (4)
- Volker Sander (4)
- Wilfried Moorkamp (4)
- Wlodek Kofman (4)
- Zahra Mahdi (4)
- A. Bratov (3)
- A. Schmiegel (3)
- Aleksa Milijaš (3)
- Aleksander Budnicki (3)
- Alex Fisher (3)
- Alexander Schiebahn (3)
- Alfred George (3)
- Andreas Terstegge (3)
- Andreas Thoma (3)
- André Büsgen (3)
- Anne Kathrin Schaar (3)
- Anne von Hoegen (3)
- Aydemir Abdurakhmanov (3)
- B. Hafner (3)
- Benjamin Hailer (3)
- Benjamin Stäudle (3)
- Bernd Hafner (3)
- Bernhard Haindl (3)
- Bogdan Šakić (3)
- Bong Wie (3)
- Britta Holtschoppen (3)
- C. Ziolko (3)
- Carl-Herbert Rokitansky (3)
- Chow Yin Lai (3)
- Christian Grimm (3)
- Christian Otten (3)
- Christian Schänzle (3)
- Christoph Henke (3)
- Colin McInnes (3)
- Colin R. McInnes (3)
- Daniel Ewert (3)
- Daniel Pak (3)
- Dirk Plettemeier (3)
- Dominik Matheis (3)
- Dominik Stollenwerk (3)
- E. Recker (3)
- Ekkehard Fehling (3)
- Elke Bosse (3)
- Fabian Weis (3)
- Florian Angele (3)
- Francesca Taddei (3)
- Frank Hartung (3)
- Friedrich Seiler (3)
- Georg Neugebauer (3)
- Gerrit Koll (3)
- Gjorgji Nikolovski (3)
- H. Halling (3)
- H. Herzog (3)
- Hans Gielen (3)
- Hans-Joachim Blome (3)
- Heinz Peeken (3)
- Holger Hess (3)
- Horst W. Loeb (3)
- J. Gall (3)
- J. Matos (3)
- J. Platen (3)
- J. Rosin (3)
- J. Roth (3)
- J.-Michael Bauschat (3)
- Jakub Jerabek (3)
- Jan-Gerd Meß (3)
- Jan-Peter Goldmann (3)
- Jens Kötter (3)
- Joachim Benner (3)
- Jochen Kalbe (3)
- Jochen Kleinbauer (3)
- Joschua Schulte-Tigges (3)
- Josef Schleupen (3)
- Jörg Höttges (3)
- Jürgen Wiediger (3)
- K. Konstantinidis (3)
- Karl Ziemons (3)
- Katrin Beyer (3)
- Keith J. Burnham (3)
- Kilian Wegmann (3)
- Klaus Hennecke (3)
- Kristina Milkova (3)
- L. Sebastian Meyer-Stork (3)
- L. Wagner (3)
- Leif Arne Peterson (3)
- Lina Schulze-Buxloh (3)
- M. Alaydrus (3)
- Marcel Leinhos (3)
- Marcus Baumann (3)
- Mario Otten (3)
- Markus Englhard (3)
- Markus Latzke (3)
- Markus Lindemann (3)
- Martin May (3)
- Maryam H. Abouzar (3)
- Matthias Meinecke (3)
- Max Ehammer (3)
- Maximilian Sanno (3)
- Melanie Kolditz (3)
- Melanie Kurz (3)
- Michael Geyer (3)
- Michael Rahier (3)
- Michael Raupach (3)
- Michael Stender (3)
- Minh Tuan Duong (3)
- Myra Spiliopoulou (3)
- Niko Näther (3)
- Oliver Schopen (3)
- Perry Bartelt (3)
- Peter Königs (3)
- Peter Linder (3)
- Philipp Wedding (3)
- R. M. Lieder (3)
- Rainer Kistner (3)
- Ralf Christian Boden (3)
- Raphael Gebs (3)
- René Rütters (3)
- Rik W. De Doncker (3)
- Robert Fleischhaker (3)
- Rolf Kuropka (3)
- Ron Noomen (3)
- S. Herbergs (3)
- S. Klinkel (3)
- S. Usbeck (3)
- S. Weber (3)
- Sacha Hack (3)
- Sebastian Pütz (3)
- Sebastian Schönitz (3)
- Siddharth Dutta (3)
- Simon Dieckmann (3)
- Simone Groebel (3)
- Soteris Kalogirou (3)
- Sreelakshmy Rajan (3)
- Stefan Fleischer (3)
- Stefan Holler (3)
- Stefan Pomp (3)
- Stefan Zunft (3)
- Susanne Kasch (3)
- T. Jost (3)
- T. Kubalski (3)
- Thanh Ngoc Tran (3)
- Thivaharan Albin (3)
- Thomas Gräupl (3)
- Thomas Schmidt (3)
- Thomas Walter (3)
- Thorsten Selmer (3)
- Torsten Baumann (3)
- Torsten Finger (3)
- Ulrich Sorger (3)
- Vikrama Atti (3)
- Volker Bettzieche (3)
- Walter van Laack (3)
- Wolfgang Fellin (3)
- Yibekal Gedle (3)
- Yves Rogez (3)
- A. Bührig-Polaczek (2)
- A. De Falco (2)
- A. Duwe (2)
- A. Grunendahl (2)
- A. Herique (2)
- A. Marino (2)
- A. Schlenkhoff (2)
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- A. Uphues (2)
- Aaron Koch (2)
- Abdelrahman Elgamal (2)
- Adam Belloum (2)
- Adrian C. Orifici (2)
- Akbar A. Khatibi (2)
- Alain Herique (2)
- Alberto Pavese (2)
- Alessandro Fasse (2)
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- Alexander Harms (2)
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- Alexander Reich (2)
- Alina Chircu (2)
- Andre Schmidt (2)
- Andrea Penna (2)
- Andrea Tonoli (2)
- Andreas Backes (2)
- Andreas Dümmler (2)
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- Angela Vergé (2)
- Anis Haj Ayed (2)
- Arno Hardt (2)
- Athanasios Dafnis (2)
- Aysegül Temiz Artmann (2)
- B.-H. Chen (2)
- Bahman Shabani (2)
- Benno Hoffmeister (2)
- Bernd Walk-Lauffer (2)
- Bianca Hagebeuker (2)
- C. Bil (2)
- C. Rebholz (2)
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- Carlos Rendón (2)
- Carsten Brockmann (2)
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- Chiara Galdi (2)
- Chiara Nardin (2)
- Christian Bedbur (2)
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- Christiane Vaeßen (2)
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This paper addresses the pixel based classification of three dimensional objects from arbitrary views. To perform this task a coding strategy, inspired by the biological model of human vision, for pixel data is described. The coding strategy ensures that the input data is invariant against shift, scale and rotation of the object in the input domain. The image data is used as input to a class of self organizing neural networks, the Kohonen-maps or self-organizing feature maps (SOFM). To verify this approach two test sets have been generated: the first set, consisting of artificially generated images, is used to examine the classification properties of the SOFMs; the second test set examines the clustering capabilities of the SOFM when real world image data is applied to the network after it has been preprocessed to be invariant against shift, scale and rotation. It is shown that the clustering capability of the SOFM is strongly dependant on the invariance coding of the images.
Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications.
In der Vergangenheit basierten große Systemintegrationsprojekte in der Regel auf Individualentwicklungen für einzelne Kunden. Getrieben durch Kostendruck steigt aber der Bedarf nach standardisierten Lösungen, die gleichzeitig die individuellen Anforderungen des jeweiligen Umfelds berücksichtigen. T-Systems GEI GmbH wird beiden Anforderungen mit Produktkerneln gerecht. Neben den technischen Aspekten der Kernelentwicklung spielen besonders organisatorische Aspekte eine Rolle, um Kernel effizient und qualitativ hochwertig zu entwickeln, ohne deren Funktionalitäten ins Uferlose wachsen zu lassen. Umgesetzt hat T-Systems dieses Konzept für Flughafeninformationssysteme. Damit kann dem wachsenden Bedarf der Flughafenbetreiber nach einer effizienten und kostengünstigen Softwarelösung zur Unterstützung Ihrer Geschäftsprozesse entsprochen werden.
Der Erfolg eines Softwarenentwicklungsprojektes insbesondere eines Systemintegrationsprojektes wird mit der Erfüllung des „Teufelsdreiecks“, „In-Time“, „In-Budget“, „In-Quality“ gemessen. Hierzu ist die Kenntnis der Software- und Prozessqualität essenziell, um die Einhaltung der Qualitätskriterien festzustellen, aber auch, um eine Vorhersage hinsichtlich Termin- und Budgettreue zu treffen. Zu diesem Zweck wurde in der T-Systems Systems Integration ein System aus verschiedenen Key Performance Indikatoren entworfen und in der Organisation implementiert, das genau das leistet und die Kriterien für CMMI Level 3 erfüllt.
In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway.
Useful market simulations are key to the evaluation of diferent market designs existing of multiple market mechanisms or rules. Yet a simulation framework which has a comparison of diferent market mechanisms in mind was not found. The need to create an objective view on different sets of market rules while investigating meaningful agent strategies concludes that such a simulation framework is needed to advance the research on this subject. An overview of diferent existing market simulation models is given which also shows the research gap and the missing capabilities of those systems. Finally, a methodology is outlined how a novel market simulation which can answer the research questions can be developed.
Existing residential buildings have an average lifetime of 100 years. Many of these buildings will exist for at least another 50 years. To increase the efficiency of these buildings while keeping costs at reasonable rates, they can be retrofitted with sensors that deliver information to central control units for heating, ventilation and electricity. This retrofitting process should happen with minimal intervention into existing infrastructure and requires new approaches for sensor design and data transmission. At FH Aachen University of Applied Sciences, students of different disciplines work together to learn how to design, build, deploy and operate such sensors. The presented teaching project already created a low power design for a combined CO2, temperature and humidity measurement device that can be easily integrated into most home automation systems
Ngoc Trinh Tran
; Tu Luc Trinh
; Ngoc Tien Dao
; Van Tan Giap
; Manh Khuyen Truong
; Thuy Ha Dinh
; Manfred Staat
Direct methods comprising limit and shakedown analysis is a branch of computational mechanics. It plays a significant role in mechanical and civil engineering design. The concept of direct method aims to determinate the ultimate load bearing capacity of structures beyond the elastic range. For practical problems, the direct methods lead to nonlinear convex optimization problems with a large number of variables and onstraints. If strength and loading are random quantities, the problem of shakedown analysis is considered as stochastic programming. This paper presents a method so called chance constrained programming, an effective method of stochastic programming, to solve shakedown analysis problem under random condition of strength. In this our investigation, the loading is deterministic, the strength is distributed as normal or lognormal variables.
This work proposes a hybrid algorithm combining an Artificial Neural Network (ANN) with a conventional local path planner to navigate UAVs efficiently in various unknown urban environments. The proposed method of a Hybrid Artificial Neural Network Avoidance System is called HANNAS. The ANN analyses a video stream and classifies the current environment. This information about the current Environment is used to set several control parameters of a conventional local path planner, the 3DVFH*. The local path planner then plans the path toward a specific goal point based on distance data from a depth camera. We trained and tested a state-of-the-art image segmentation algorithm, PP-LiteSeg. The proposed HANNAS method reaches a failure probability of 17%, which is less than half the failure probability of the baseline and around half the failure probability of an improved, bio-inspired version of the 3DVFH*. The proposed HANNAS method does not show any disadvantages regarding flight time or flight distance.
Atsushi Horikawa
; Mitsugu Ashikaga
; Masato Yamaguchi
; Tomoyuki Ogino
; Shigeki Aoki
; Manfred Wirsum
; Harald Funke
; Karsten Kusterer
Kawasaki Heavy Industries, Ltd. (KHI), Aachen University of Applied Sciences, and B&B-AGEMA GmbH have investigated the potential of low NOx micro-mix (MMX) hydrogen combustion and its application to an industrial gas turbine combustor. Engine demonstration tests of a MMX combustor for the M1A-17 gas turbine with a co-generation system were conducted in the hydrogen-fueled power generation plant in Kobe City, Japan.
This paper presents the results of the commissioning test and the combined heat and power (CHP) supply demonstration. In the commissioning test, grid interconnection, loading tests and load cut-off tests were successfully conducted. All measurement results satisfied the Japanese environmental regulation values. Dust and soot as well as SOx were not detected. The NOx emissions were below 84 ppmv at 15 % O2. The noise level at the site boundary was below 60 dB. The vibration at the site boundary was below 45 dB.
During the combined heat and power supply demonstration, heat and power were supplied to neighboring public facilities with the MMX combustion technology and 100 % hydrogen fuel. The electric power output reached 1800 kW at which the NOx emissions were 72 ppmv at 15 % O2, and 60 %RH. Combustion instabilities were not observed. The gas turbine efficiency was improved by about 1 % compared to a non-premixed type combustor with water injection as NOx reduction method. During a total equivalent operation time of 1040 hours, all combustor parts, the M1A-17 gas turbine as such, and the co-generation system were without any issues.
Dynamic loads significantly impact the structural design of propeller blades due to fatigue and static strength. Since propellers are elastic structures, deformations and aerodynamic loads are coupled. In the past, propeller manufacturers established procedures to determine unsteady aerodynamic loads and the structural response with analytical steady-state calculations. According to the approach, aeroelastic coupling primarily consists of torsional deformations. They neglect bending deformations, deformation velocities, and inertia terms. This paper validates the assumptions above for a General Aviation propeller and a lift propeller for urban air mobility or large cargo drones. Fully coupled reduced-order simulations determine the dynamic loads in the time domain. A quasi-steady blade element momentum approach transfers loads to one-dimensional finite beam elements. The simulation results are in relatively good agreement with the analytical method for the General Aviation propeller but show increasing errors for the slender lift propeller. The analytical approach is modified to consider the induced velocities. Still, inertia and velocity proportional terms play a significant role for the lift propeller due to increased elasticity. The assumption that only torsional deformations significantly impact the dynamic loads of propellers is not valid. Adequate determination of dynamic loads of such designs requires coupled aeroelastic simulations or advanced analytical procedures.
This paper presents an approach to predicting the sound exposure on the ground caused by a landing aircraft with recuperating propellers. The noise source along the trajectory of a flight specified for a steeper approach is simulated based on measurements of sound power levels and additional parameters of a single propeller placed in a wind tunnel. To validate the measured data/measurement results, these simulations are also supported by overflight measurements of a test aircraft. It is shown that the simple source models of propellers do not provide fully satisfactory results since the sound levels are estimated too low. Nevertheless, with a further reference comparison, margins for an acceptable increase in the sound power level of the aircraft on its now steeper approach path could be estimated. Thus, in this case, a +7 dB increase in SWL would not increase the SEL compared to the conventional approach within only 2 km ahead of the airfield.
Christoph Butenweg
; Marko Marinković
; Alberto Pavese
; Igor Lanese
; Benno Hoffmeister
; Marius Pinkawa
; Mihai-Cristian Vulcu
; Oreste Bursi
; Chiara Nardin
; Fabrizio Paolacci
; Gianluca Quinci
; Michalis Fragiadakis
; Felix Weber
; Peter Huber
; Philippe Renault
; Max Gündel
; Shirley Dyke
; M. Ciucci
; A. Marino
Past earthquakes demonstrated the high vulnerability of industrial facilities equipped with complex process technologies leading to serious damage of the process equipment and multiple and simultaneous release of hazardous substances in industrial facilities. Nevertheless, the design of industrial plants is inadequately described in recent codes and guidelines, as they do not consider the dynamic interaction between the structure and the installations and thus the effect of seismic response of the installations on the response of the structure and vice versa. The current code-based approach for the seismic design of industrial facilities is considered not enough for ensure proper safety conditions against exceptional event entailing loss of content and related consequences. Accordingly, SPIF project (Seismic Performance of Multi- Component Systems in Special Risk Industrial Facilities) was proposed within the framework of the European H2020 - SERA funding scheme (Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe). The objective of the SPIF project is the investigation of the seismic behavior of a representative industrial structure equipped with complex process technology by means of shaking table tests. The test structure is a three-story moment resisting steel frame with vertical and horizontal vessels and cabinets, arranged on the three levels and connected by pipes. The dynamic behavior of the test structure and installations is investigated with and without base isolation. Furthermore, both firmly anchored and isolated components are taken into account to compare their dynamic behavior and interactions with each other. Artificial and synthetic ground motions are applied to study the seismic response at different PGA levels. After each test, dynamic identification measurements are carried out to characterize the system condition. The contribution presents the numerical simulations to calibrate the tests on the prototype, the experimental setup of the investigated structure and installations, selected measurement data and finally describes preliminary experimental results.
Melanie Welden
; Robin Severins
; Arshak Poghossian
; Christina Wege
; Petra Siegert
; Michael Keusgen
; Michael Josef Schöning
A capacitive electrolyte-insulator-semiconductor (EISCAP) biosensor modified with Tobacco mosaic virus (TMV) particles for the detection of acetoin is presented. The enzyme acetoin reductase (AR) was immobilized on the surface of the EISCAP using TMV particles as nanoscaffolds. The study focused on the optimization of the TMV-assisted AR immobilization on the Ta 2 O 5 -gate EISCAP surface. The TMV-assisted acetoin EISCAPs were electrochemically characterized by means of leakage-current, capacitance-voltage, and constant-capacitance measurements. The TMV-modified transducer surface was studied via scanning electron microscopy.
A methodology for assessment, seismic verification and strengthening of existing masonry buildings is presented in this paper. The verification is performed using a calculation model calibrated with the results from ambient vibration measurements. The calibrated model serves as an input for a deformation-based verification procedure based on the Capacity Spectrum Method (CSM). The bearing capacity of the building is calculated from experimental capacity curves of the individual walls idealized with bilinear elastic-perfectly plastic curves. The experimental capacity curves were obtained from in-plane cyclic loading tests on unreinforced and strengthened masonry walls with reinforced concrete jackets. The seismic action is compared with the load-bearing capacity of the building considering non-linear material behavior with its post-peak capacity. The application of the CSM to masonry buildings and the influence of a traditional strengthening method are demonstrated on the example of a public school building in Skopje, Macedonia.