The photovoltaic systems are often employed into micro-grids; Micro-grids are small power grids designed to provide a reliable and better power supply to a small number of consumers using renewable energy sources. This paper deals with DC micro-grids and present a new system of monitoring and sharing electricity between homes equipped with photovoltaic panels (PV) in the goal to reduce the electrical energy waste. The system is based on dynamic sharing of photovoltaic blocks through homes in stand-alone areas, using an arduino board for controlling the switching matrix. The LABVIEW program is used to further process and display collected data from the system in the PC screen. A small-scale prototype has been developed in a laboratory to proof the concept. This prototype demonstrates the feasibility and functionality of the system.
The automatic light AFS (Adaptive Front -Lighting System) is added to the capabilities of modern vehicles that will improve the safety of vehicle drivers and passengers traveling at night. A new architecture of the AFS has proposed in this paper. This architecture is powerful and intelligent using the PWM technique on ARDUINO Board replaces the old mechanical system based on stepper motors.
Keyword:ADC AFS ARDUINO PWM
Today, global energy consumption is dominated by fossil fuels such as oil, coal and gas. The intensive consumption of these energy sources gives rise to greenhouse gas emissions and therefore an increase in CO2 emissions. Photovoltaic energy has persistently been considered as a green and pollution-free renewable energy source to overcome greenhouse effect and energy crisis. This paper describes a new method of photovoltaic energy sharing in standalone micro-grids using photovoltaic panels. This approach is based on automatic electrical energy sharing depending on the state of charge (SOC) of the electrical storage unit using by each home and on the electrical power consumption of each home.The monitoring system is connected to each home in micro-grid, it manage each home’s energy use, and assigns more energy to a large energy-consuming home. This architecture contributes to reducing total energy lost.
The implementation of digital image processing required detailed knowledge of both hardware design and hardware description languages. This paper presents an efficient approach for the implementation of real time hardware digital image processing algorithms without requiring detailed knowledge of hardware design and hardware description languages. The purpose of this work is to achieve a real time hardware implementation with higher performance in both size and speed. It focuses on the implementation of an efficient architecture for image processing algorithms like segmentation (threshold) and contrast stretching by using the fewest possible system generator blocks for DSP tool, which integrates itself with the MATLAB based Simulink graphics environment and relieves the user of the textual HDL programming. While Past research has shown that the Image enhancement techniques on FPGA based on the Xilinx System Generator. This study connect between image histogram and Image enhancement techniques depending on the type of enhancement required. This paper describes also the methodology for implementing real-time DSP applications on FPGA and concept of hardware software co-simulation for digital image processing by using the Mathworks model-based design tool Simulink / Xilinx System Generator (XSG). Performances of efficient architectures are implemented on FPGA Virtex5 (XUPV5-LX110T).
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