In the arrival of today’s highly integrated multimedia device and fast emerging applications, image processing have become more important than any others. These devices require complex image processing tasks lead to a very challenge design process as it demands more efficient and high processing systems. The scope of the project is to extract locations and features of multi objects in an image for object recognition. For low power consumption and better performance we design a proposed system in FPGA. In existing system an cell based multi object feature extraction algorithm is used to extract simultaneously autocorrelation feature of objects. It is calculated using zeroth order and first order moments to obtain the size and location of multiple objects. To reduce computational complexity and memory consumption, Local Binary Pattern (LBP) and Local Ternary Pattern (LTP) is used to extract the feature of multiple objects are proposed. In the local binary pattern, the LBP value is computed by comparing a gray level value of centre pixel in an image with its neighbors. The local ternary pattern is extended from LBP to three-valued code in which gray values are quantized to zero,+1,-1. The proposed architecture is designed using verilog HDL, simulated using Modelsim software and synthesized using Xilinx project navigator.

Abstract. This paper proposes a Power Management System (PMS) designed to supply continuous power for residential using low voltage Microgrid. The Microgrid equipped with a hybrid power supply includes, battery storage system and three power supplies: a wind mill, photovoltaic (PV) emulator and proton exchange membrane (PEM) fuel cell (FC). The connections of the energy resources to the common ac bus make use of power inverters with specific functionalities. The automatic power management system for the operation and control of the distributed energy resources connected to residential electric power installations, taking into account both the grid connected operating mode and the islanded operating mode. The PMS provides rapid response to support the critical load. It can also operate as a standalone system in case of grid failure like an incessant power supply. The operating behavior of the proposed automatic system is simulated by using MATLAB SIMULINK.

No abstract

No abstract