Open Source Android Research Apps

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This Project is provided for Scientific/Research purposes. It needs to be run on the Forex Demo account and if it is working on Forex and some claim that Forex is a chaotic, unpredictable system, which means that this method will work on other real-life complex systems (somewhere in industry or in the natural environment, where there are physical laws known governing those systems), in which there are many variables dependent on each other and there is a need to predict the future movement of those variables. If you want for next versions of this project to be provided here then make wire transfer with the title Donate-Sourceforge to Wojciech Fialkiewicz, IBAN: PL62 1140 2004 0000 3102 5832 1450, BIC/SWIFT: BREXPLPWMBK

SDCF is an extensible and highly configurable sensor data collection framework for Android. The SDCF library provides a full configurable service to collect different sensor data (accelerometer, gsm, wifi, network and gps, light, temperature etc.) on a mobile android device. The data is stored in a local database (on the device) and can be transmitted to a remote host periodically (serialized to XML, and optionally packed into an rsa-encrypted archive). The service can also broadcast the collected sensor data in order to provide it to other applications.

Java library for parsing and evaluating math expressions. Javadoc is available at http://bracer.sourceforge.net/javadoc/ P.S. This library depends on Apache Commons Math, so don't forget to include commons-math-2.2.jar to your project.

- Java SE 1.7 compatible - Can be run on both Windows/Linux PC - Can be run on Android devices(Tested on ASUS fonetab7, ASUS zenfone4, Samsung Galaxy S4) - Can be run on reflashed ARM-based AndroidTV sticks (Tested on MK808) - No custom firmware for EV3 brick - Supports about 15 EV3/NXT/HT sensors - Supports EV3 & NXT motors - Supports Android camera

Open-Access Documents delivered to be used by the Proteomics community: - MIAPE-SP v1: download it at https://sourceforge.net/projects/proteomicsdocs.lp-csic-uab.p/files/MIAPE_SP_v1.pdf/download