Demonstration of Artificial Neural Network

Artificial neural networks (ANN) is referred as the neural networks are the signal processing and in information model which is based on the biological neuron. An artificial neural network (ANN) consists of a bundle of simple processing units which communicate by sending signals to each other over a large number of weighted connections. A set of processing unit is called as neuron. A neural network is made up of an interconnection of nonlinear neuron. The purpose of this work is to examine Neural Networks (NN) and their emerging applications in the field of engineering.The paper presented the basic study of the artificial neural network and its characteristics and its applications

Microwave-Assisted Synthesis of Titania Nanocubes, Nanospheres and Nanorods for Photocatalytic Dye Degradation

TiO2nanostructures with fascinating morphologies like cubes, spheres, and rods were synthesized by a simple microwave irradiation technique. Tuning of different morphologies was achieved by changing the pH and the nature of the medium or the precipitating agent. As-synthesized titania nanostructures were characterized by X-ray diffraction (XRD), UV–visible spectroscopy, infrared spectroscopy (IR), BET surface area, photoluminescence (PL), scanning electron microscopy (SEM) and transmission electron microscopy (TEM), and atomic force microscopy (AFM) techniques. Photocatalytic dye degradation studies were conducted using methylene blue under ultraviolet light irradiation. Dye degradation ability for nanocubes was found to be superior to the spheres and the rods and can be attributed to the observed high surface area of nanocubes. As-synthesized titania nanostructures have shown higher photocatalytic activity than the commercial photocatalyst Degussa P25 TiO2

Performance Analysis of Lte Network Using Runtime Pre-coding Algorithm

LTE (Long Term Evolution) meets the requirement of high data rates, improved end user performance, better spectrum utilization, no interference and many more. All this is possible because of its features, one of which is multipoint transmission with single user as well as multi user. But whenever user receives signal from number of transmitting a points, it becomes difficult to calculate the precoders and corresponding filters. The paper describes one of such scenario where user receives signal from multiple eNodeBs. We have implemented a runtime algorithm to estimate the pre-coders and its corresponding filters for system level simulation of LTE network using Matlab

PERFORMANCE ANALYSIS OF LTE NETWORK USING RUNTIME PRE-CODING ALGORITHM

LTE (Long Term Evolution) meets the requirement of high data rates, improved end user performance, better spectrum utilization, no interference and many more. All this is possible because of its features, one of which is multipoint transmission with single user as well as multi user. But whenever user receives signal from number of transmitting a points, it becomes difficult to calculate the precoders and corresponding filters. The paper describes one of such scenario where user receives signal from multiple eNodeBs. We have implemented a runtime algorithm to estimate the pre-coders and its corresponding filters for system level simulation of LTE network using Matlab

Designing Of Temperature & Humidity Monitoring Embedded Systems

The places such as weather forecasting system, nuclear radiation measurement, greenhouses, agro-automation systems require real-time monitoring of environmental parameters like temperature and humidity. So a low-cost, low-power temperature and humidity sensor interfacing with embedded systems using PIC microcontroller and PLC is designed. The paper is analyzing the operating mechanism of DHT11 temperature and humidity combined sensor; where it features temperature and humidity sensor complex with calibrated digital signal output. The DHT11 sensor interfacing with controller is programmed, then the temperature and humidity acquisition program porting to embedded platform. Meanwhile, the data through human machine interface is intuitive feedback to the user

DESIGNING OF TEMPERATURE & HUMIDITY MONITORING EMBEDDED SYSTEMS

The places such as weather forecasting system, nuclear radiation measurement, greenhouses, agro-automation systems require real-time monitoring of environmental parameters like temperature and humidity. So a low-cost, low-power temperature and humidity sensor interfacing with embedded systems using PIC microcontroller and PLC is designed. The paper is analyzing the operating mechanism of DHT11 temperature and humidity combined sensor; where it features temperature and humidity sensor complex with calibrated digital signal output. The DHT11 sensor interfacing with controller is programmed, then the temperature and humidity acquisition program porting to embedded platform. Meanwhile, the data through human machine interface is intuitive feedback to the user