Refine
Year of publication
Document Type
- Conference Proceeding (934)
- Article (reviewed) (554)
- Article (unreviewed) (124)
- Part of a Book (65)
- Master's Thesis (61)
- Contribution to a Periodical (58)
- Book (30)
- Patent (29)
- Letter to Editor (28)
- Bachelor Thesis (27)
Conference Type
- Konferenzartikel (734)
- Konferenz-Abstract (134)
- Sonstiges (34)
- Konferenz-Poster (22)
- Konferenzband (12)
Language
- English (1966) (remove)
Keywords
- RoboCup (32)
- Dünnschichtchromatographie (27)
- COVID-19 (23)
- Export (22)
- Machine Learning (19)
- Gamification (17)
- Kommunikation (15)
- Finite-Elemente-Methode (13)
- Government Measures (13)
- TRIZ (13)
Institute
- Fakultät Maschinenbau und Verfahrenstechnik (M+V) (586)
- Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019) (501)
- Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019) (369)
- Fakultät Wirtschaft (W) (278)
- INES - Institut für nachhaltige Energiesysteme (166)
- Fakultät Medien und Informationswesen (M+I) (bis 21.04.2021) (157)
- ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik (144)
- Fakultät Medien (M) (ab 22.04.2021) (79)
- IMLA - Institute for Machine Learning and Analytics (71)
- ACI - Affective and Cognitive Institute (57)
Open Access
- Open Access (823)
- Closed Access (666)
- Closed (287)
- Bronze (135)
- Gold (70)
- Diamond (66)
- Hybrid (44)
- Grün (12)
Automotive service suppliers are keen to invent products that help to reduce particulate matter pollution substantial, but governance worldwide are not yet ready to introduce this retrofitting of helpful devices statutory. To develop a strategy how to introduce these devices to the market based on user needs is the objective of our research. The contribution of this paper is three-fold: we will provide an overview of the current options of particulate matter pollution solutions (I). This corpus is used to come to a more precise description of the specific needs and wishes of target groups (II). Finally, a representative empirical study via social media channels with German car owners will help to develop a strategy to introduce retrofit devices into the German market (III).
To reach customers by dialog marketing campaigns is more and more difficult. This is a common problem of companies and marketing agencies worldwide: information overload, multi-channel-communication and a confusing variety of offers make it hard to gain the attention of the target group. The contribution of this paper is four-fold: we provide an overview of the current state of print dialog marketing activities and trends (I). Based on this corpus we identify the main key performance indicators of dialog marketing customer interaction (II). A qualitative user experience study identifies the customer wishes and needs, focusing on lottery offers for senior citizens (III). Finally, we evaluate the success of two different dialog marketing campaigns with 20,000 clients and compare the key performance indicators of the original hands-on experience-based print mailings with user experience tested and optimized mailings (IV).
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks
(2021)
Decision explanations of machine learning black-box models are often generated by applying Explainable AI (XAI) techniques. However, many proposed XAI methods produce unverified outputs. Evaluation and verification are usually achieved with a visual interpretation by humans on individual images or text. In this preregistration, we propose an empirical study and benchmark framework to apply attribution methods for neural networks developed for images and text data on time series. We present a methodology to automatically evaluate and rank attribution techniques on time series using perturbation methods to identify reliable approaches.
This paper explains the realization of a concept for research-oriented photonics education. Using the example of the integration of an actual PhD project, it is shown how students are familiarized with the topic of research and scientific work in the first semesters. Typical research activities are included as essential parts of the learning process. Research should be made visible and tangible for the students. The authors will present all aspects of the learning environment, their impressions and experiences with the implemented scenario, as well as first evaluation results of the students.
Live streaming of events over an IP network as a catalyst in media technology education and training
(2020)
The paper describes how students are involved in applied research when setting up the technology and running a live event. Real-time IP transmission in broadcast environments via fiber optics will become increasingly important in the future. Therefore, it is necessary to create a platform in this area where students can learn how to handle IP infrastructure and fiber optics. With this in mind, we have built a fully functional TV control room that is completely IP-based. The authors present the steps in the development of the project and show the advantages of the proposed digital solutions. The IP network proves to be a synergy between the involved teams: participants of the robot competition and the members of the media team. These results are presented in the paper. Our activities aim to awaken enthusiasm for research and technology in young people. Broadcasts of live events are a good opportunity for "hands on" activities.
Astronomical phenomena fascinate people from the very beginning of mankind up to today. In this paper the authors will present their experience with photography of astronomical events. The main focus will be on aurora borealis, comet Neowise, total lunar eclipses and how mobile devices open up new possibilities to observe the green flash. Our efforts were motivated by the great impact and high number of viewers of these events. Visitors from over a hundred countries watched our live broadcasts.
Furthermore, we report on our experiences with the photography of optical phenomena such as polar lights Fig. 1, comet Neowise with a Delta Aquariids meteor Fig. 11, and lunar eclipses Fig. 12.
The Human-Robot-Collaboration (HRC) has developed rapidly in recent years with the help of collaborative lightweight robots. An important prerequisite for HRC is a safe gripper system. This results in a new field of application in robotics, which spreads mainly in supporting activities in the assembly and in the care. Currently, there are a variety of grippers that show recognizable weaknesses in terms of flexibility, weight, safety and price.
By means of Additive manufacturing (AM) gripper systems can be developed which can be used multifunctionally, manufactured quickly and customized. In addition, the subsequent assembly effort can be reduced due to the integration of several components to a complex component. An important advantage of AM is the new freedom in designing products. Thus, components using lightweight design can be produced. Another advantage is the use of 3D multi-material printing, wherein a component with different material properties and also functions can be realized.
This contribution presents the possibilities of AM considering HRC requirements. First of all, the topic of Human-Robot-Interaction with regard to additive manufacturing will be explained on the basis of a literature review. In addition, the development steps of the HRI gripper through to assembly are explained. The acquired knowledge regarding the AM are especially emphasized here. Furthermore, an application example of the HRC gripper is considered in detail and the gripper and its components are evaluated and optimized with respect to their function. Finally, a technical and economic evaluation is carried out. As a result, it is possible to additively manufacture a multifunctional and customized human-robot collaboration gripping system. Both the costs and the weight were significantly reduced. Due to the low weight of the gripping system only a small amount of about 13% of the load of the robot used is utilized.