Refine
Year of publication
Document Type
- Article (5464)
- Conference Proceeding (1393)
- Book (1056)
- Part of a Book (544)
- Patent (172)
- Bachelor Thesis (156)
- Report (81)
- Doctoral Thesis (78)
- Other (68)
- Contribution to a Periodical (19)
- Master's Thesis (17)
- Review (17)
- Working Paper (8)
- Talk (5)
- Habilitation (4)
- Preprint (4)
- Diploma Thesis (3)
- Poster (3)
- Part of Periodical (2)
- Examination Thesis (1)
- Video (1)
Language
Has Fulltext
- no (9096) (remove)
Keywords
- Corporate Design (9)
- Illustration (9)
- Erscheinungsbild (8)
- Gamification (8)
- Nachhaltigkeit (8)
- Redesign (7)
- Animation (6)
- Datenschutz (6)
- Digitalisierung (6)
- avalanche (6)
- App (5)
- Earthquake (5)
- Editorial (5)
- Enterprise Architecture (5)
- Fotografie (5)
- Geschichte (5)
- MINLP (5)
- solar sail (5)
- Aktionskunst (4)
- Design (4)
Institute
- Fachbereich Medizintechnik und Technomathematik (1907)
- Fachbereich Elektrotechnik und Informationstechnik (1116)
- Fachbereich Wirtschaftswissenschaften (1100)
- Fachbereich Energietechnik (1056)
- Fachbereich Chemie und Biotechnologie (829)
- Fachbereich Maschinenbau und Mechatronik (799)
- Fachbereich Luft- und Raumfahrttechnik (749)
- Fachbereich Bauingenieurwesen (658)
- IfB - Institut für Bioengineering (623)
- INB - Institut für Nano- und Biotechnologien (584)
- Solar-Institut Jülich (334)
- Fachbereich Gestaltung (333)
- Fachbereich Architektur (161)
- ECSM European Center for Sustainable Mobility (106)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (66)
- Nowum-Energy (64)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (62)
- Institut fuer Angewandte Polymerchemie (32)
- Sonstiges (24)
- IBB - Institut für Baustoffe und Baukonstruktionen (21)
We investigate the suitability of selected measures of complexity based on recurrence quantification analysis and recurrence networks for an identification of pre-seizure states in multi-day, multi-channel, invasive electroencephalographic recordings from five epilepsy patients. We employ several statistical techniques to avoid spurious findings due to various influencing factors and due to multiple comparisons and observe precursory structures in three patients. Our findings indicate a high congruence among measures in identifying seizure precursors and emphasize the current notion of seizure generation in large-scale epileptic networks. A final judgment of the suitability for field studies, however, requires evaluation on a larger database.
Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle.
In this work, we report on our attempt to design and implement an early introduction to basic robotics principles for children at kindergarten age. One of the main challenges of this effort is to explain complex robotics contents in a way that pre-school children could follow the basic principles and ideas using examples from their world of experience. What sets apart our effort from other work is that part of the lecturing is actually done by a robot itself and that a quiz at the end of the lesson is done using robots as well. The humanoid robot Pepper from Softbank, which is a great platform for human–robot interaction experiments, was used to present a lecture on robotics by reading out the contents to the children making use of its speech synthesis capability. A quiz in a Runaround-game-show style after the lecture activated the children to recap the contents they acquired about how mobile robots work in principle. In this quiz, two LEGO Mindstorm EV3 robots were used to implement a strongly interactive scenario. Besides the thrill of being exposed to a mobile robot that would also react to the children, they were very excited and at the same time very concentrated. We got very positive feedback from the children as well as from their educators. To the best of our knowledge, this is one of only few attempts to use a robot like Pepper not as a tele-teaching tool, but as the teacher itself in order to engage pre-school children with complex robotics contents.
The integration of sensors is one of the major tasks in embedded, control and “internet of things” (IoT) applications. For the integration mainly digital interfaces are used, starting from rather simple pulse-width modulation (PWM) interface to more complex interfaces like CAN (Controller Area Network). Even though these interfaces are tethered by definition, a wireless realization is highly welcome in many applications to reduce cable and connector cost, increase the flexibility and realize new emerging applications like wireless control systems. Currently used wireless solutions like Bluetooth, WirelessHART or IO-Link Wireless use dedicated communication standards and corresponding higher protocol layers to realize the wireless communication. Due to the complexity of the communication and the protocol handling, additional latency and jitter are introduced to the data communication that can meet the requirements for many applications. Even though tunnelling of other bus data like CAN data is generally also possible the latency and jitter prevent the tunnelling from being transparent for the bus system. Therefore a new basic technology based on dual-mode radio is used to realize a wireless communication on the physical layer only, enabling a reliable and real-time data transfer. As this system operates on the physical layer it is independent of any higher layers of the OSI (open systems interconnection) model. Hence it can be used for several different communication systems to replace the tethered physical layer. A prototype is developed and tested for real-time wireless PWM, SENT (single-edge nibble transmission) and CAN data transfer with very low latency and jitter.