Refine
H-BRS Bibliography
- yes (113) (remove)
Departments, institutes and facilities
- Fachbereich Informatik (45)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (37)
- Fachbereich Ingenieurwissenschaften und Kommunikation (22)
- Fachbereich Angewandte Naturwissenschaften (18)
- Fachbereich Wirtschaftswissenschaften (13)
- Institute of Visual Computing (IVC) (13)
- Institut für Cyber Security & Privacy (ICSP) (12)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (8)
- Institut für Detektionstechnologien (IDT) (5)
- Institut für Verbraucherinformatik (IVI) (4)
Document Type
- Conference Object (113) (remove)
Year of publication
- 2017 (113) (remove)
Keywords
- Aerodynamics (2)
- Intercultural Communication (2)
- Object recognition (2)
- Virtual Reality (2)
- discrete optimisation (2)
- dispatching problem (2)
- massively parallel calculations (2)
- surrogate modeling (2)
- 3D design (1)
- 6LoWPAN (1)
Solar energy is one option to serve the rising global energy demand with low environmental impact. Building an energy system with a considerable share of solar power requires long-term investment and a careful investigation of potential sites. Therefore, understanding the impacts from varying regionally and locally determined meteorological conditions on solar energy production will influence energy yield projections.
Reliable and regional differentiated power forecasts are required to guarantee an efficient and economic energy transition towards renewable energies. Amongst other renewable energy technologies, e.g. wind mills, photovoltaic (PV) systems are an essential component of this transition being cost-efficient and simply to install. Reliable power forecasts are however required for a grid integration of photovoltaic systems, which among other data requires high-resolution spatio-temporal global irradiance data.
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.
An Experimental Field-Study on Active and Passive Work Breaks in a Stressful Work Environment
(2017)
Work breaks are known to have positive effects on employees’ health, performance, and safety. However, prior research has focused mainly on their timing, duration, and frequency but less on break activities. Moreover, most studies examined work breaks in rather repetitive and physical demanding work. Thus, we conducted an experimental field study with a sample of employees’ working in a stressful and cognitive demanding working environment and examined how different types of work breaks (boxing, deep relaxation, and usual breaks) affect participants’ mood, cognitive performance, and neuro-physiological state.
This paper proposes a novel approach to the generation of state equations from a bond graph (BG) of a mode switching linear time invariant model. Fast state transitions are modelled by ideal or non-ideal switches. Fixed causalities are assigned following the Standard Causality Assignment Procedure such that the number of storage elements in integral causality is maximised. A system of differential and algebraic equations (DAEs) is derived from the BG that holds for all system modes. It is distinguished between storage elements with mode independent causality and those that change causality due to switch state changes.