Search Results for "sandbox:/mnt/data/project_plan.pod"

NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original...

...This new version allows to delete files, rename files, delete directories, rename directories, and view text files when the file extension is : txt, xml, htm, html, xsl, xslt, text, ascii, ini, asp, aspx, java, kt, cs, js, jsp, php, bat, css, csv, kml, svg (feel free to ask for more file extensions, that should be a setting in the application in the future). The application starts browsing from the internal storage of the Android device ("/storage/emulated/0") so you can browse your data file (pictures, alarms, documents, downloads, movies, music, ringtones...). This version also allows you to view the first 1024 bytes of any clicked file in hex format if it is not a text file.

...SmartSlog applies the code generation approach: given an OWL ontology description, the ontology programming library is produced. The latter provides API to access the smart space via a Smart-M3 Semantic Information Broker (SIB) and data structures and functions to represent and maintain locally in KP code all ontology classes, relations, properties, and individuals. Since 2012 the project is supported by grant KA179 of Karelia ENPI programme, http://kareliaenpi.eu/ More information about project: http://oss.fruct.org/wiki/SmartSlog Smart-M3 on Wikipedia: http://en.wikipedia.org/wiki/Smart-M3

DarSens is about distributed activity recognition based on acceleration data.

AndroidCam is an Android App which provides the ability to turn a mobile device into an intervalometer for collecting time-lapse images. Image capture can be triggered using time based scheduling or in response to data thresholds monitored by the app (e.g. temperature, location, windspeed, etc) Data collection is performed via IOIO connection and the new ADK. Remote synchronization upload of images can be scheduled and performed via SCP.