Refine
H-BRS Bibliography
- yes (85) (remove)
Departments, institutes and facilities
- Fachbereich Informatik (42)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (23)
- Fachbereich Ingenieurwissenschaften und Kommunikation (21)
- Fachbereich Wirtschaftswissenschaften (15)
- Institute of Visual Computing (IVC) (11)
- Institut für Cyber Security & Privacy (ICSP) (7)
- Institut für Verbraucherinformatik (IVI) (7)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (6)
- Fachbereich Angewandte Naturwissenschaften (5)
- Fachbereich Sozialpolitik und Soziale Sicherung (4)
Document Type
- Conference Object (85) (remove)
Year of publication
- 2016 (85) (remove)
Keywords
- IEEE802.11 (2)
- Large, high-resolution displays (2)
- Long-Distance WiFi (2)
- SpMV (2)
- User Experience (2)
- WiLD (2)
- 3D user interface (1)
- ARM Cortex M3 Processor (1)
- Actuators (1)
- Adaptive optics (1)
- Aneignungsstudie (1)
- Autoimmune disease (1)
- BCL2 (1)
- Biometrics of chips (1)
- Blocking (1)
- Business Models (1)
- CUDA (1)
- Collaboration and e-Services (1)
- Community of Practice (1)
- Consumer Online Behaviour (1)
- Cooperative Awareness Message (1)
- Corporate Social Responsibility (1)
- Directional Antenna (1)
- Distributed rendering (1)
- E-Business (1)
- Elliptic Curve Cryptography (1)
- Embedded software (1)
- Empirical study (1)
- Enterprise Engineering (1)
- Enterprise Information Systems (1)
- Ethnographic Research (1)
- Experten (1)
- Fas (1)
- Fault analysis (1)
- Fault-channel watermarks (1)
- Field Study (1)
- Field programmable gate arrays (1)
- Fog (1)
- Force (1)
- Force field (1)
- Framing (1)
- Free space optics (1)
- Friction (1)
- GPU (1)
- Gradient-boosting (1)
- Grasping (1)
- HPC (1)
- Hand Tracking (1)
- Heart Rate Prediction (1)
- High-performance computing (1)
- IP protection (1)
- Instance-based learning (1)
- Intelligent Transport System (1)
- Interaction (1)
- Issue tracking systems (1)
- KNN (1)
- Lighting simulation (1)
- Linear regression (1)
- Living Lab (1)
- Longley-Rice (1)
- Lymphoproliferative disorder (1)
- MAC (1)
- Machine Learning (1)
- Method of lines (1)
- Mining Software Repositories (1)
- Model Fitting (1)
- Modular software packages (1)
- Molecular modeling (1)
- Motion Capture (1)
- Musical Performance (1)
- Natural Language Processing (1)
- Navigation interface (1)
- Network simulation (1)
- Numerical optimization (1)
- Open-source (1)
- OpenACC (1)
- OpenFlow (1)
- OpenMP, unrolling (1)
- Performance Simulation (1)
- Performance prediction (1)
- Predictive Models (1)
- Privacy (1)
- Propagation (1)
- Pseudonym Concept (1)
- Q measurement (1)
- QPSK (1)
- ROW methods (1)
- River alarm systems (1)
- Robotics (1)
- Robustness (1)
- SDN (1)
- SDWN (1)
- ScalarMultiplication (1)
- Self-driving (1)
- Service Design (1)
- Side Channel Countermeasures (1)
- Silicon biometrics (1)
- Single Instruction Multiple Data (SIMD) (1)
- Smart Home (1)
- Software Feature Request Detection (1)
- Sparse Matrix Vector Multiplication (1)
- Sparse Matrix Vector multiply (SpMV) (1)
- Strong Physical Unclonable Functions (PUFs) (1)
- Sustainability (1)
- Symmetry detector (1)
- Token (1)
- Traceability (1)
- Traffic sign detection (1)
- Traffic sign recognition (1)
- Training Model (1)
- Training Optimization (1)
- Two-Ray (1)
- Ubiquity (1)
- Unity (1)
- VR (1)
- Vector Intrinsics (1)
- Vehicle-to-Vehicle Communication (1)
- Vehicular Ad hoc Networks (1)
- WDS (1)
- Water supply networks (1)
- Water supply systems (1)
- Watermarking (1)
- Web Content Analysis (1)
- Web Mining (1)
- WiFi (1)
- Wicked Problems (1)
- Wissensaustausch (1)
- autonomous sensor system (1)
- bass-shaker (1)
- brute force methods (1)
- citizen participation (1)
- collaboration (1)
- computer-supported collaborative work (1)
- crisis exercise (1)
- cuSPARSE (1)
- curing behavior (1)
- dielectric analysis (1)
- energy harvesting (1)
- engage exchange model (1)
- food systems (1)
- gaming (1)
- generator (1)
- human-centric lighting (1)
- intrinsics (1)
- ion viscosity (1)
- leaning (1)
- optimization of telecommunications systems (1)
- outbreak management (1)
- peripheral vision (1)
- reaction kinetics (1)
- regional food production (1)
- resin for 3D-printing (1)
- risk communication (1)
- robots (1)
- rural areas (1)
- short-term memory (1)
- social empirical research (1)
- social media analysis (1)
- socio economic impact (1)
- spectral rendering (1)
- surface textures (1)
- sustainable transition (1)
- territoriality (1)
- urban green spaces (1)
- vibration (1)
- vibration energy (1)
- wavelength (1)
- whole-body interface (1)
- wireless communication (1)
- wmSDN (1)
- workspace awareness (1)
During exercise, heart rate has proven to be a good measure in planning workouts. It is not only simple to measure but also well understood and has been used for many years for workout planning. To use heart rate to control physical exercise, a model which predicts future heart rate dependent on a given strain can be utilized. In this paper, we present a mathematical model based on convolution for predicting the heart rate response to strain with four physiologically explainable parameters. This model is based on the general idea of the Fitness-Fatigue model for performance analysis, but is revised here for heart rate analysis. Comparisons show that the Convolution model can compete with other known heart rate models. Furthermore, this new model can be improved by reducing the number of parameters. The remaining parameter seems to be a promising indicator of the actual subject’s fitness.
Cognitive robotics aims at understanding biological processes, though it has also the potential to improve future robotics systems. Here we show how a biologically inspired model of motor control with neural fields can be augmented with additional components such that it is able to solve a basic robotics task, that of obstacle avoidance. While obstacle avoidance is a well researched area, the focus here is on the extensibility of a biologically inspired framework. This work demonstrates how easily the biological inspired system can be used to adapt to new tasks. This flexibility is thought to be a major hallmark of biological agents.
WiFi-based Long Distance (WiLD) networks have emerged as a promising alternative approach for Internet in rural areas. However, the MAC layer, which is based on the IEEE802.11 standard, comprises contiguous stations in a cell and is spatially restricted to a few hundred meters at most. In this work, we summarize efforts by different researchers to use IEEE802.11 over long-distances. In addition, we introduce WiLDToken, our solution to optimizing the throughput and fairness and reducing the delay on WiLD links. Compared to previous alternative MAC layers protocols for WiLD, our focus is on optimizing a single link in a multi-radio multi-channel mesh. We implement our protocol in the ns-3 network simulator and show thatWiLDToken is superior to an adapted version of the Distributed Coordination Function (DCF) for different link distances. We find that the throughput on a single link is close to the physical data-rate without a major decrease over longer distances.
This paper presents the b-it-bots RoboCup@Work team and its current hardware and functional architecture for the KUKA youBot robot.We describe the underlying software framework and the developed capabilities required for operating in industrial environments including features such as reliable and precise navigation, flexible manipulation and robust object recognition.
Large sections of the German society are able to buy and consume meat on a daily basis due to progress in the agri-food sector. However, the way meat is produced, traded and consumed increasingly has become an issue that is controversially discussed by the media, non-governmental organisations (NGOs), lobbyists, the industry itself and consumers – often with a negative connotation. The meat industry reacts to this. By creating information campaigns and animal welfare initiatives it aims to stress that it is going to take its corporate social responsibilities (CSR) for consumers and animal welfare seriously. But, the industry’s actions are still criticised as being not sufficient to improve animal welfare levels significantly. Much of this criticism can be observed in online news portals, where articles about the issue get published and commented by readers. This makes online portals a valuable source for information that is to be tapped in this study. It aims to better understand the multifaceted discussions concerning animal welfare initiatives in online portals. By applying qualitative content analysis and web mining techniques to a sample of documents taken from three major German news sites it can be shown that online discussions refer to various aspects of sustainability and corporate social responsibility. Findings also indicate that the discussions are framed by financial aspects.