Refine
Year of publication
- 2017 (262) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (67)
- Fachbereich Elektrotechnik und Informationstechnik (37)
- IfB - Institut für Bioengineering (34)
- Fachbereich Luft- und Raumfahrttechnik (33)
- Fachbereich Wirtschaftswissenschaften (32)
- Fachbereich Energietechnik (27)
- INB - Institut für Nano- und Biotechnologien (27)
- Fachbereich Maschinenbau und Mechatronik (24)
- Fachbereich Bauingenieurwesen (14)
- Fachbereich Architektur (13)
Document Type
- Article (109)
- Conference Proceeding (87)
- Part of a Book (34)
- Book (14)
- Other (11)
- Part of a Periodical (2)
- Report (2)
- Contribution to a Periodical (1)
- Doctoral Thesis (1)
- Patent (1)
Keywords
- Autonomous mobile robots (2)
- Gamification (2)
- Industry 4.0 (2)
- MASCOT (2)
- Multi-robot systems (2)
- Smart factory (2)
- 3D nonlinear finite element model (1)
- Acceptance tests (1)
- Ausfachungsmauerwerk (1)
- Automated Optimization (1)
Is part of the Bibliography
- no (262)
An enzyme-based reversible Controlled NOT (CNOT) logic gate operating on a semiconductor transducer
(2017)
An enzyme-based biocatalytic system mimicking operation of a logically reversible Controlled NOT (CNOT) gate has been interfaced with semiconductor electronic transducers. Electrolyte–insulator–semiconductor (EIS) structures have been used to transduce chemical changes produced by the enzyme system to an electronically readable capacitive output signal using field-effect features of the EIS device. Two enzymes, urease and esterase, were immobilized on the insulating interface of EIS structure producing local pH changes performing XOR logic operation controlled by various combinations of the input signals represented by urea and ethyl butyrate. Another EIS transducer was functionalized with esterase only, thus performing Identity (ID) logic operation for the ethyl butyrate input. Both semiconductor devices assembled in parallel operated as a logically reversible CNOT gate. The present system, despite its simplicity, demonstrated for the first time logically reversible function of the enzyme system transduced electronically with the semiconductor devices. The biomolecular realization of a CNOT gate interfaced with semiconductors is promising for integration into complex biomolecular networks and future biosensor/biomedical applications.
Altered neurovascular coupling as measured by optical imaging: a biomarker for Alzheimer’s disease
(2017)
Energy-efficient components do not automatically lead to energy-efficient systems. Technical Operations Research (TOR) shifts the focus from the single component to the system as a whole and finds its optimal topology and operating strategy simultaneously. In previous works, we provided a preselected construction kit of suitable components for the algorithm. This approach may give rise to a combinatorial explosion if the preselection cannot be cut down to a reasonable number by human intuition. To reduce the number of discrete decisions, we integrate laws derived from similarity theory into the optimization model. Since the physical characteristics of a production series are similar, it can be described by affinity and scaling laws. Making use of these laws, our construction kit can be modeled more efficiently: Instead of a preselection of components, it now encompasses whole model ranges. This allows us to significantly increase the number of possible set-ups in our model. In this paper, we present how to embed this new formulation into a mixed-integer program and assess the run time via benchmarks. We present our approach on the example of a ventilation system design problem.
Gearboxes are mechanical transmission systems that provide speed and torque conversions from a rotating power source. Being a central element of the drive train, they are relevant for the efficiency and durability of motor vehicles. In this work, we present a new approach for gearbox design: Modeling the design problem as a mixed-integer nonlinear program (MINLP) allows us to create gearbox designs from scratch for arbitrary requirements and—given enough time—to compute provably globally optimal designs for a given objective. We show how different degrees of freedom influence the runtime and present an exemplary solution.