Control the KSR10 Robot Arm (Velleman) through USB with Python.
This project aims to control the KSR10 Robot Arm (Velleman) through USB with the programming language Python. Requirements: - Python (tested with version 2.6 and 2.7) - modules: pyusb (wich on itself requires libusb or openusb)
This script can convert raw diffraction images to JPEG files. Support ADSC, MarCCD, Mar345, RAXIS and PILATUS, and can be run on Windows, Linux and Mac OS X.
Automatic compound splitting and semantic analysis of compounds
The central problem to be addressed in this project concerns a multidisciplinary (linguistics and computational linguistics) investigation into sharing of knowledge and resources between closely-related languages, specifically relating to the automatic processing of compounds. Specifically, we will explore the possibility to create new knowledge about closely-related languages, and efficiently develop additional, more advanced resources for (a) compound segmentation; and (b) the semantic analysis of compounds; as such, the project will be divided into two interrelated subprojects, to be executed simultaneously. The focus in this project will be on Afrikaans (with Dutch as the closely-related, well-sourced language), which will lay grounds for future work on other closely-related language pairs.