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Problem statement. Despite their success-story, neural networks have one major disadvantage compared to other techniques: the inability to explain comprehensively how a trained neural network reaches its output; neural networks are not only (incorrectly) seen as a “magic tool” but possibly even more as a mysterious “black box” [1]. This is an important aspect of the functionality of any technology
The aim of this study is to see how geometry generated turbulence affects the Rate of Heat Release (ROHR) in an HCCI engine. HCCI combustion is limited in load due to high peak pressures and too fast combustion. If the speed of combustion can be decreased the load range can be extended. Therefore two different combustion chamber geometries were investigated, one with a disc shape and one with a sq
Ambient fine particulate matter PM2.5 (particles with a diameter smaller than 2.5 μm) has been associated with cardiovascular and respiratory morbidity and mortality. It has been shown that biomass burning for heat production purposes can generate large amounts of fine particles. Thus characteristics of particle emissions from biofuel combustion may be important in the assessment of health effects
Straightforward simulation of amplifier distortion involves transient simulation of operation on a sine wave input signal, and a subsequent FFT of the output voltage. This approach is very slow on class D amplifiers, since the switching behavior forces simulation time steps that are many orders of magnitude smaller than the duration of one period of an audio sine wave. This work presents a method
