Online ISSN: 2515-8260

Keywords : FPGA


Design and Development of FPGA Based Wireless SoCfor Precision Agriculture

B. Moses Madhukar; V. Padmanabha Reddy

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 1, Pages 1687-1706

Crop farming in India is labored intensive and obsolete. Farming is still dependent on techniques which were evolved hundreds of years ago and does not take care of conservation of resources. The newer scenario of decreasing water tables, drying up of rivers and tanks, unpredictable environment presents an urgent need of proper utilization of water. We have the technology to bridge the gap between water usage and water wastage. Technology used in some developed countries is too expensive and complicated for a common farmer to understand. Our project is to give cheap, reliable, cost efficient and easy to use technology which would help in conservation of resources such as water and in atomizing farms. We proposed use of Position sensor, Light intensity sensor, temperature sensor, Remote lights, and switches at suitable locations for monitoring of crops. The sensing system is based on a feedback control mechanism with a centralized control. The sensor data would be collected in a central processing unit which would take further action. Thus, by providing right amount of water we would increase the efficiency of the farm. The farmer can also look at the sensory data and decide course of action himself. We have made the interface of our project keeping in view the educational and financial background of average Indian farmer. In this project we proposed a low cost and efficient wireless sensor network technique to acquire the Position and light from various locations of farm and as per the need of crop controller take the decision to make irrigation ON or OFF.

Fast Convolution units for Convolutional Neural Network

M.V.Nageswara Rao; A. Sudhakar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2872-2877

Convolution neural network is basically an algorithm which is used to train a model to perform a specific task, which is inspired by the working of the human brain. Nowadays, its being extensively used in various applications. Its implementation over the FPGA board not only reduces the development time, but also increases the programmability. In this paper, Fast Convolution unit is described, which are based on parallel fast finite impulse response algorithm (FFA). This paper also includes the derivation of the algorithm.

Implementation of Zig-Zag Coded Steganography for Secured Data Transmission in FPGA

R. M. Joany; E. Logashanmugam; E. Anna Devi; L. Magthelin Therase; S. Yogalakshmi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 7, Pages 5103-5110

Steganography is defined as the knack and science of communicating in a secret way which hides some information on the existence of communication. A steganographic model helps to hide or embed the sender’s secret message in an image known as carrier. For a normal view, it does not give a clue about the existence of a secret message in it. An image can be in any format which is used as a carrier. The sender’s message is covered in this carrier image. The carrier is transmitted in which the message (image) is hidden. In the proposed system Zigzag coded Stenography is introduced. In the proposed scheme the image is first preprocessed using MATLAB software, Image information is converted into the grayscale format and then Binary conversion is done, after applying DCT the image is further split into multiple palettes. The preprocessed data is then provided with the stenographic step with key generation by the VLSI system and then transmitted through the channel. The reverse operation then retrieves the original information by applying IDCT and also removing noise. The proposed Zigzag coded algorithm will have a high embedding rate and embedding payload capacity, less computational complexity and at the same time maintaining the high stego-image quality compared to the existing works.