Article
Refine
Year of publication
- 2024 (16)
- 2023 (59)
- 2022 (75)
- 2021 (80)
- 2020 (93)
- 2019 (95)
- 2018 (83)
- 2017 (72)
- 2016 (78)
- 2015 (83)
- 2014 (93)
- 2013 (96)
- 2012 (80)
- 2011 (128)
- 2010 (119)
- 2009 (119)
- 2008 (102)
- 2007 (94)
- 2006 (86)
- 2005 (99)
- 2004 (131)
- 2003 (74)
- 2002 (92)
- 2001 (88)
- 2000 (84)
- 1999 (88)
- 1998 (82)
- 1997 (79)
- 1996 (70)
- 1995 (68)
- 1994 (76)
- 1993 (51)
- 1992 (48)
- 1991 (25)
- 1990 (35)
- 1989 (38)
- 1988 (54)
- 1987 (32)
- 1986 (18)
- 1985 (32)
- 1984 (18)
- 1983 (17)
- 1982 (26)
- 1981 (18)
- 1980 (35)
- 1979 (23)
- 1978 (30)
- 1977 (14)
- 1976 (13)
- 1975 (10)
- 1974 (3)
- 1972 (2)
- 1971 (1)
- 1968 (1)
Document Type
- Article (3226) (remove)
Language
- English (3226) (remove)
Keywords
- Einspielen <Werkstoff> (7)
- avalanche (5)
- Earthquake (4)
- FEM (4)
- Finite-Elemente-Methode (4)
- LAPS (4)
- biosensors (4)
- field-effect sensor (4)
- frequency mixing magnetic detection (4)
- CellDrum (3)
- Heparin (3)
- Label-free detection (3)
- additive manufacturing (3)
- capacitive field-effect sensor (3)
- hydrogen peroxide (3)
- magnetic nanoparticles (3)
- shakedown analysis (3)
- snow (3)
- tobacco mosaic virus (TMV) (3)
- Acyl-amino acids (2)
Institute
- Fachbereich Medizintechnik und Technomathematik (1343)
- INB - Institut für Nano- und Biotechnologien (501)
- Fachbereich Chemie und Biotechnologie (466)
- IfB - Institut für Bioengineering (408)
- Fachbereich Elektrotechnik und Informationstechnik (401)
- Fachbereich Energietechnik (360)
- Fachbereich Luft- und Raumfahrttechnik (247)
- Fachbereich Maschinenbau und Mechatronik (147)
- Fachbereich Wirtschaftswissenschaften (106)
- Fachbereich Bauingenieurwesen (68)
- Solar-Institut Jülich (43)
- ECSM European Center for Sustainable Mobility (27)
- Sonstiges (21)
- Institut fuer Angewandte Polymerchemie (20)
- Freshman Institute (17)
- Nowum-Energy (16)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (15)
- Fachbereich Gestaltung (12)
- Fachbereich Architektur (9)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (5)
Beryllium doped low-temperature-grown MBE GaAs: material for photomixing in the THz frequency range
(2000)
Beyond ClearPET: Next Aims
(2008)
The CRYSTAL CLEAR collaboration, in short CCC, is a consortium of 12 academic institutions, mainly from Europe, joining efforts in the area of developing instrumentation for nuclear medicine and medical imaging. In the framework of the CCC a high performance small animal PET system, called ClearPET, was developed by using new technologies in electronics and crystals in a phoswich arrangement combining two types of lutetium- based scintillator materials: LSO:Ce and LuYAP:Ce. Our next aim will be the development of hybrid image systems. Hybrid MR-PET imaging has many unique advantages for brain research. This has sparked a new research line within CCC for the development of novel MR-PET compatible technologies. MRI is not as sensitive as PET but PET has poorer spatial resolution than MRI. Two major advantages of PET are sensitivity and its ability to acquire metabolic information. To assess these innovations, the development of a 9.4T hybrid animal MR-PET scanner is proposed based on an existing 9.4T MR scanner that will be adapted to enable simultaneous acquisition of MR and PET data using cutting- edge technology for both MR and PET.
Biocompatibility, flexibility and durability make polydimethylsiloxane (PDMS) membranes top candidates in biomedical applications. CellDrum technology uses large area, <10 µm thin membranes as mechanical stress sensors of thin cell layers. For this to be successful, the properties (thickness, temperature, dust, wrinkles, etc.) must be precisely controlled. The following parameters of membrane fabrication by means of the Floating-on-Water (FoW) method were investigated: (1) PDMS volume, (2) ambient temperature, (3) membrane deflection and (4) membrane mechanical compliance. Significant differences were found between all PDMS volumes and thicknesses tested (p < 0.01). They also differed from the calculated values. At room temperatures between 22 and 26 °C, significant differences in average thickness values were found, as well as a continuous decrease in thicknesses within a 4 °C temperature elevation. No correlation was found between the membrane thickness groups (between 3–4 µm) in terms of deflection and compliance. We successfully present a fabrication method for thin bio-functionalized membranes in conjunction with a four-step quality management system. The results highlight the importance of tight regulation of production parameters through quality control. The use of membranes described here could also become the basis for material testing on thin, viscous layers such as polymers, dyes and adhesives, which goes far beyond biological applications.
Obstacle avoidance is critical for unmanned aerial vehicles (UAVs) operating autonomously. Obstacle avoidance algorithms either rely on global environment data or local sensor data. Local path planners react to unforeseen objects and plan purely on local sensor information. Similarly, animals need to find feasible paths based on local information about their surroundings. Therefore, their behavior is a valuable source of inspiration for path planning. Bumblebees tend to fly vertically over far-away obstacles and horizontally around close ones, implying two zones for different flight strategies depending on the distance to obstacles. This work enhances the local path planner 3DVFH* with this bio-inspired strategy. The algorithm alters the goal-driven function of the 3DVFH* to climb-preferring if obstacles are far away. Prior experiments with bumblebees led to two definitions of flight zone limits depending on the distance to obstacles, leading to two algorithm variants. Both variants reduce the probability of not reaching the goal of a 3DVFH* implementation in Matlab/Simulink. The best variant, 3DVFH*b-b, reduces this probability from 70.7 to 18.6% in city-like worlds using a strong vertical evasion strategy. Energy consumption is higher, and flight paths are longer compared to the algorithm version with pronounced horizontal evasion tendency. A parameter study analyzes the effect of different weighting factors in the cost function. The best parameter combination shows a failure probability of 6.9% in city-like worlds and reduces energy consumption by 28%. Our findings demonstrate the potential of bio-inspired approaches for improving the performance of local path planning algorithms for UAV.