NUMERICAL MODELS FOR EXACT DESCRIPTION OF IN-SITU DIGITAL IN-LINE HOLOGRAPHY EXPERIMENTS WITH IRREGULARLY-SHAPED ARBITRARILY-LOCATED PARTICLES

Numerical Models for Exact Description of in-situ Digital In-Line Holography Experiments with Irregularly-Shaped Arbitrarily-Located Particles

We present the development of a numerical simulator for digital in-line holography applications.In-line holograms of arbitrarily shaped and arbitrarily located objects scarves are calculated using generalized Huygens-Fresnel integrals.The objects are 2D opaque or phase objects.The optical set-up is described by its optical transfer matrix.A wide va

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Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Although there have been many studies aimed at the field of Human Activity Recognition, the relationship between what we do and where Finishers we do it has been little explored in this field.The objective of this paper is to propose an approach based on machine learning to address the challenge of the 1st UCAmI cup, which is the recognition of 24

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Maternal mRNA input of growth and stress-response-related genes in cichlids in relation to egg size and trophic specialization

Abstract Background Egg size represents an important form of maternal effect determined by a complex interplay of long-term adaptation and short-term plasticity balancing egg size with brood size.Haplochromine cichlids are maternal mouthbrooders showing differential parental investment in different species, manifested in great variation in egg size

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