Conference Proceeding
Refine
Year of publication
- 2024 (6)
- 2023 (30)
- 2022 (43)
- 2021 (50)
- 2020 (55)
- 2019 (91)
- 2018 (74)
- 2017 (85)
- 2016 (71)
- 2015 (78)
- 2014 (55)
- 2013 (74)
- 2012 (81)
- 2011 (70)
- 2010 (67)
- 2009 (63)
- 2008 (48)
- 2007 (44)
- 2006 (53)
- 2005 (29)
- 2004 (25)
- 2003 (22)
- 2002 (25)
- 2001 (18)
- 2000 (14)
- 1999 (15)
- 1998 (21)
- 1997 (10)
- 1996 (7)
- 1995 (6)
- 1994 (4)
- 1993 (11)
- 1992 (6)
- 1991 (3)
- 1990 (2)
- 1989 (5)
- 1988 (3)
- 1987 (1)
- 1986 (2)
- 1985 (4)
- 1984 (3)
- 1983 (3)
- 1981 (2)
- 1980 (1)
- 1979 (1)
- 1978 (3)
- 1977 (2)
- 1975 (3)
- 1974 (1)
- 1973 (3)
Document Type
- Conference Proceeding (1393) (remove)
Has Fulltext
- no (1393) (remove)
Keywords
- Enterprise Architecture (5)
- Gamification (5)
- Energy storage (4)
- Natural language processing (4)
- Power plants (4)
- hydrogen (4)
- solar sail (4)
- Associated liquids (3)
- Concentrated solar power (3)
- Hybrid energy system (3)
- MASCOT (3)
- Out-of-plane load (3)
- Serious Game (3)
- earthquakes (3)
- Additive manufacturing (2)
- Adjacent buildings (2)
- BIM (2)
- Case Study (2)
- Clustering (2)
- Deep learning (2)
Institute
- Fachbereich Elektrotechnik und Informationstechnik (280)
- Fachbereich Energietechnik (226)
- Fachbereich Luft- und Raumfahrttechnik (192)
- Fachbereich Maschinenbau und Mechatronik (188)
- Solar-Institut Jülich (164)
- Fachbereich Medizintechnik und Technomathematik (148)
- IfB - Institut für Bioengineering (113)
- Fachbereich Bauingenieurwesen (101)
- ECSM European Center for Sustainable Mobility (57)
- Fachbereich Wirtschaftswissenschaften (53)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (44)
- INB - Institut für Nano- und Biotechnologien (41)
- Fachbereich Chemie und Biotechnologie (33)
- Nowum-Energy (22)
- Kommission für Forschung und Entwicklung (16)
- Fachbereich Architektur (13)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (8)
- Fachbereich Gestaltung (3)
- IaAM - Institut für angewandte Automation und Mechatronik (3)
- Institut fuer Angewandte Polymerchemie (2)
10 Regeln für das Desaster
(2001)
The recent amendment to the Ethernet physical layer known as the IEEE 802.3cg specification, allows to connect devices up to a distance of one kilometer and delivers a maximum of 60 watts of power over a twisted pair of wires. This new standard, also known as 10BASE-TIL, promises to overcome the limits of current physical layers used for field devices and bring them a step closer to Ethernet-based applications. The main advantage of 10BASE- TIL is that it can deliver power and data over the same line over a long distance, where traditional solutions (e.g., CAN, IO-Link, HART) fall short and cannot match its 10 Mbps bandwidth. Due to its recentness, IOBASE- TIL is still not integrated into field devices and it has been less than two years since silicon manufacturers released the first Ethernet-PHY chips. In this paper, we present a design proposal on how field devices could be integrated into a IOBASE-TIL smart switch that allows plug-and-play connectivity for sensors and actuators and is compliant with the Industry 4.0 vision. Instead of presenting a new field-level protocol for this work, we have decided to adopt the IO-Link specification which already includes a plug-and-play approach with features such as diagnosis and device configuration. The main objective of this work is to explore how field devices could be integrated into 10BASE-TIL Ethernet, its adaption with a well-known protocol, and its integration with Industry 4.0 technologies.
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.
Finding a good system topology with more than a handful of components is a
highly non-trivial task. The system needs to be able to fulfil all expected load cases, but at the
same time the components should interact in an energy-efficient way. An example for a system
design problem is the layout of the drinking water supply of a residential building. It may be
reasonable to choose a design of spatially distributed pumps which are connected by pipes in at
least two dimensions. This leads to a large variety of possible system topologies. To solve such
problems in a reasonable time frame, the nonlinear technical characteristics must be modelled
as simple as possible, while still achieving a sufficiently good representation of reality. The
aim of this paper is to compare the speed and reliability of a selection of leading mathematical
programming solvers on a set of varying model formulations. This gives us empirical evidence
on what combinations of model formulations and solver packages are the means of choice with the current state of the art.
Innovative interplanetary deep space missions, like a main belt asteroid sample
return mission, require ever larger velocity increments (∆V s) and thus ever
more demanding propulsion capabilities. Providing much larger exhaust velocities than chemical high-thrust systems, electric low-thrust space-propulsion
systems can significantly enhance or even enable such high-energy missions. In
1995, a European-Russian Joint Study Group (JSG) presented a study report
on “Advanced Interplanetary Missions Using Nuclear-Electric Propulsion”
(NEP). One of the investigated reference missions was a sample return (SR)
from the main belt asteroid (19) Fortuna. The envisaged nuclear power plant,
Topaz-25, however, could not be realized and also the worldwide developments
in space reactor hardware stalled. In this paper, we investigate, whether such
a mission is also feasible using a solar electric propulsion (SEP) system and
compare our SEP results to corresponding NEP results.
Achieving the 17 Sustainable Development Goals (SDGs) set by the United Nations (UN) in 2015 requires global collaboration between different stakeholders. Industry, and in particular engineers who shape industrial developments, have a special role to play as they are confronted with the responsibility to holistically reflect sustainability in industrial processes. This means that, in addition to the technical specifications, engineers must also question the effects of their own actions on an ecological, economic and social level in order to ensure sustainable action and contribute to the achievement of the SDGs. However, this requires competencies that enable engineers to apply all three pillars of sustainability to their own field of activity and to understand the global impact of industrial processes. In this context, it is relevant to understand how industry already reflects sustainability and to identify competences needed for sustainable development.
Since fluid-structure interaction within the finite-element method is state of the art in many engineering fields, this method is used in voice analysis. A quasi two-dimensional model of the vocal folds including the ventricular folds is presented. First results of self-sustained vocal fold oscillation are presented and possibilities as well as limitations are discussed.
A New Class of Biosensors Based on Tobacco Mosaic Virus and Coat Proteins as Enzyme Nanocarrier
(2016)
There are different types of games that try to make use of the motivation of a gaming situation in learning contexts. This paper introduces the new terminology ‘Competence Developing Game’ (CDG) as an umbrella term for all games with this intention. Based on this new terminology, an assessment framework has been developed and validated in scope of an empirical study. Now, all different types of CDGs can be evaluated according to a defined and uniform set of assessment criteria and, thus, are comparable according to their characteristics and effectiveness.
A novel solar sterilization and water destillation system : experiment and thermodynamic analysis
(1991)
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.