Refine
Year of publication
Document Type
- Conference Proceeding (491)
- Article (216)
- Part of a Book (48)
- Doctoral Thesis (30)
- Other Publications (28)
- Master's Thesis (14)
- Report (13)
- Working Paper (12)
- Book (9)
- Bachelor Thesis (8)
Language
- English (879) (remove)
Keywords
- (Strict) sign-regularity (1)
- 1D-CNN (1)
- 2 D environment Laser data (1)
- 360-degree coverage (1)
- 3D Extended Object Tracking (1)
- 3D Extended Object Tracking (EOT) (2)
- 3D shape tracking (1)
- 3D ship detection (1)
- 3D urban planning (1)
- AAL (3)
Institute
- Fakultät Architektur und Gestaltung (6)
- Fakultät Bauingenieurwesen (26)
- Fakultät Elektrotechnik und Informationstechnik (16)
- Fakultät Informatik (63)
- Fakultät Maschinenbau (12)
- Fakultät Wirtschafts-, Kultur- und Rechtswissenschaften (43)
- Institut für Angewandte Forschung - IAF (77)
- Institut für Optische Systeme - IOS (33)
- Institut für Strategische Innovation und Technologiemanagement - IST (38)
- Institut für Systemdynamik - ISD (98)
In this paper, the problem of controlling the dissolved oxygen level (DO) during an aerobic fermentation is considered. The proposed approach deals with three major difficulties in respect to the nonlinear dynamics of the DO, the poor accuracy of the empirical models for the oxygen consumption rate and the fact that only sampled measurements are available on-line. A nonlinear integral high-gain control law including a continuous-discrete time observer is designed to keep the DO in the neighborhood of a set point value without any knowledge on the dissolved oxygen consumption rate. The local stability of the control algorithm is proved using Lyapunov tools. The performance of the control scheme is first analyzed in simulation and then experimentally evaluated during a successfull fermentation of the bacteria over a period of three days. Pseudomonas putida mt-2
To master complexity, we can organize it or discard it. The Art of Insight in Science and Engineering first teaches the tools for organizing complexity, then distinguishes the two paths for discarding complexity: with and without loss of information. Questions and problems throughout the text help readers master and apply these groups of tools. Armed with this three-part toolchest, and without complicated mathematics, readers can estimate the flight range of birds and planes and the strength of chemical bonds, understand the physics of pianos and xylophones, and explain why skies are blue and sunsets are red.
This document presents an algorithm for a non-obtrusive recognition of Sleep/Wake states using signals derived from ECG, respiration, and body movement captured while lying in a bed. As a core mathematical base of system data analytics, multinomial logistic regression techniques were chosen. Derived parameters of the three signals are used as the input for the proposed method. The overall achieved accuracy rate is 84% for Wake/Sleep stages, with Cohen’s kappa value 0.46. The presented algorithm should support experts in analyzing sleep quality in more detail. The results confirm the potential of this method and disclose several ways for its improvement.
Industry 4.0
(2017)
Poster