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The inbuilt multi-window feature released with Android Nougat has enabled simultaneous working and visualization of multiple applications on mobile display screen. However, multi-window operations result in unnecessary energy drain due to increased multitasking, CPU load, and multithread processing. Considering linear dependence between power consumed and the displayed colors, we present the design and realization of MultiDroid , a novel display power reduction technique during multi-window operations for the OLED screens. MultiDroid employs dynamic local dimming based on the context switching between the application pairs displayed on the screen. The display optimization works based on the user interaction with the mobile screen, where dynamic changes on the display screens are implemented for the non-critical application window. MultiDroid architecture is validated through power modeling and correctness verification. Furthermore, a survey on multi-window usage has been conducted reflecting the application usage pattern. The performance of MultiDroid is evaluated on preferred application pairs on multi-window framework obtained from the survey. Modeling and comparative analysis of the energy profiles for the devised test cases on optimized and default multi-window screens reflect around 10% to 25% reduction in the overall device power consumption per hour with a negligible performance degradation. After experimental validation, we present user acceptance and feasibility of MultiDroid based on the feedback from 50 participants.

En este proyecto se pretende resolver una problemática que afecta a todos los motoristas: saber cuándo empezar a aumentar el ritmo de la trazada en carreteras o circuitos conociendo cuál es la temperatura en tiempo real de los neumáticos. Con este sistema de telemetría desarrollado inicialmente con Arduino Nano y finalmente implementado con un módulo ESP-WROOM-32, puede verse a través de una pantalla OLED situada en el cuadro de mandos hasta un total de seis valores de temperatura correspondientes a los flancos laterales y centrales de las ruedas delantera y trasera. Se incorpora también un acelerómetro con el que detectar si el motorista está haciendo ¿caballitos¿ y a su vez determinar cuál es el ángulo de inclinación de la moto tanto en curva como a una rueda, estando todo el sistema comunicado con un dispositivo Android donde se implementa una aplicación que ve y almacena los datos para comparar resultados., This project aims to solve a problem that affects all motorists: knowing the exact temperature of the tires in real time for increasing the cornering speed in a safely way when they ride over roads or tracks. With this telemetry system developed initially with Arduino Nano and finally implemented with an ESP-WROOM-32 module, up to six temperature values corresponding to the lateral and central flanks of the tires may be displayed through an OLED screen located in the control panel. The system also incorporates an accelerometer which detects if the rider is making "wheelies" and also determines which the tilt angle of the bike is. The hole system is being communicated with an Android device where it is implemented an app that sees and stores the data to compare results.