Open Source Android Research Apps

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Multivariate Calculus Robot is designed to analyze and work on every available Currency Pair. Calculus Robot Implements algorithms that govern their work. These algorithms detect some sort of "Waves" in the Forex Market. In Robot's Default Configuration, the Average Trade length is twelve hours. Take Profit delta is equal to the Stop Loss delta in every trade. That kind of trade operation is symmetrical, which means that if the BUY operation was a loss and then reversed it, the SELL operation with properly modified values would be profitable. When the Results of the Robot's work are to be analyzed after at least two months, it appears that the Robot switches time intervals, which is Losing Money to time intervals, which is Making Money. Those intervals appear to be a few days or even weeks in length. The standard technical analysis used on robot results can be used to detect when those intervals begin and end. When done, Robots work at runtime and can be properly modified Lot Size.

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

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.