Publications by authors named "Praks J"

This paper describes the architecture and demonstrates the capabilities of a newly developed, physically-based imaging simulator environment called SISPO, developed for small solar system body fly-by and terrestrial planet surface mission simulations. The image simulator utilises the open-source 3-D visualisation system Blender and its Cycles rendering engine, which supports physically based rendering capabilities and procedural micropolygon displacement texture generation. The simulator concentrates on realistic surface rendering and has supplementary models to produce realistic dust- and gas-environment optical models for comets and active asteroids.

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Future autonomous transportation is one of the most demanding application areas in terms of connectivity, as it has to simultaneously meet stringent criteria that do not typically go hand in hand, such as high throughput, low latency, high coverage/availability, high positioning and sensing accuracies, high security and robustness to interferences, etc. In order to meet the future demands of challenging applications, such as applications relying on autonomous vehicles, terrestrial networks are no longer sufficient and are to be augmented in the future with satellite-based networks. Among the emerging satellite networks, Low Earth Orbit (LEO) networks are able to provide advantages over traditional Medium Earth Orbit (MEO) and Geo-Stationary Earth Orbit (GEO) networks in terms of signal latency, cost, and performance.

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We introduce SodSAR, a fully polarimetric tower-based wide frequency (1-10 GHz) range Synthetic Aperture Radar (SAR) aimed at snow, soil and vegetation studies. The instrument is located in the Arctic Space Centre of the Finnish Meteorological Institute in Sodankylä, Finland. The system is based on a Vector Network Analyzer (VNA)-operated scatterometer mounted on a rail allowing the formation of SAR images, including interferometric pairs separated by a temporal baseline.

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The objective of this study was to investigate dairy cows' time spent in the possibly stressful waiting area (WA) of the milking parlor (MP) and their behavioral patterns while there and thereby investigate comparative effects on their welfare. The experiments were carried out in 3 loose-housing cowsheds. The study consisted of a total of 3,522 observations of individual dairy cows.

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We have worked on automatically measuring the behavior of dairy cows during automatic milking. A milking robot offers a unique possibility for a dynamic measurement of physical data. Four strain gauge scales were installed into a milking robot in order to measure the weight of each leg separately, and a laser distance sensor was placed next to the robot in order to measure the radial movement of the cow's body surface.

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An important precondition of a well-functioning dairy production is knowledge about the incidence of environmentally evoked non-infectious diseases in a particular herd, in the region and in the country as a whole. The aim of this study was to determine the incidence rate of environmentally evoked multifactorial diseases in Estonian dairy herds, and to compare the disease incidence in small (< or = 100 cows) and large herds (101-300 cows). The disease incidence was recorded by local veterinarians in twelve production units with a total of 33 cowsheds and about 5000 dairy cows.

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