Moth inspired navigation strategy simulator

Noam Benelli has just released a new open source and open science project that could help scientists in movement and behavioral ecology, entomology, agriculture, and robotics to study navigation strategies in turbulent odor plumes. Thanks to another open source project, pompy, we could create a unified simulation framework and study our navigators and their performance under varying turbulent odor plume conditions. 

The Github of the project: https://github.com/alexliberzonlab/mothpy

The open science framework site: https://osf.io/dytka/

 

OpenPIV with GPU supported acceleration is available

Both the software that you can try in a Google Cloud sandbox Jupyter notebook, or fork and change and use, and a corresponding paper are out.
Dallas CA, Wu M, Chou VP, Liberzon A, Sullivan PE. GPU Accelerated Open Source Particle Image Velocimetry Software for High Performance Computing Systems. ASME. J. Fluids Eng. 2019;():. doi:10.1115/1.4043422.
and https://github.com/OpenPIV/openpiv-python-gpu

New open M.Sc. position

 

We’re looking for an excellent student to join the research project with the group of Dr. Alex Golberg (agolberg@post.tau.ac.il) from the Porter School of Environmental Studies on the topic of a possible drag reduction effect of seaweeds (macroalgae) and its implementation for the ship friction drag resistance. Contact Dr. Golberg or Prof. Alex Liberzon (alexlib@tauex.tau.ac.il) for more details. The ad in Hebrew is attached.

הורדת גרר

Open Science or 3D-PTV with OpenPTV for all

Ron Shnapp has prepared a demo case of a turbulent jet for the upcoming NCTR School (http://nctr.eu). The test case includes the video of the jet, the complete set of the data on figshare (a set of images, another set of real-time processed particle positions via our blob-recorder hardware, pre- and post-processing routines), Jupyter notebooks and also the two demo videos that guide you through the process. Follow his blog for more info.