Search Results for "pollen"

Microduck RL provides reinforcement-learning environments for training behaviors for Pollen Robotics' small bipedal Microduck robot. It is built on mjlab with MuJoCo Warp and trains PPO policies at a 50 Hz control rate. The repository includes tasks for walking, standing up, sitting, kicking, rolling, skating, crouching, and other physical behaviors. Its sim-to-real setup models actuator physics, backlash, domain randomization, and reward design.

PollenF: Pollen Analysis software was created by Fahim Altınordu. Two version are available for researcher, Turkish and English. The main routine in software is written in VB.net and uses Microsoft .Net 2 framework, which is included in Windows 7 and subsequent versions. The primary function of the software is to allow efficient pollen measurements from microphotographs.

...The UI uses QHull morphers that split Delaunay and Voronoi hulls to create new cells in the lattice. Additionally, morphers can target individual cells to split or stellate. TesselSphere can be used to generate vertices for geodesic domes, pollen, radiolaria, viruses and other polyhedra. Comes with full documentation and source. Saves VRML 1.0, POV-Ray inc file and OBJ. TesselSphere was coded between 2000-2006 and is the precursor to Geodesica. I have no mathematical qualifications and TesselSphere was written as a mathematical recreation in my spare time.

...Firstly the program performs an exclusion method, and then a likelihood statistic is used with non-excluded candidate fathers. Optional features include estimation of allele dosage of known mother trees and the estimation of pollen flow distances.

Some framework.

The service takes advantage of the environmental control networks existing along the city of Bilbao and the indicators elaborated by their data. These networks consist in a number of networked meteorological stations metering atmospheric variables and other related to pollution, level of pollen in the air, etc. The system uses other data sources in order to provide the user with a complete information overview, including predictions, and taking account predictive simulation and risk models that are being used by some public administrations. The more relevant features for the model are: Geo-referenced data sets about: - Quality of the air in the city - Pollen level - Weather information - Weather forecast