Advanced Control Web Based Home Automation with Raspberry PI
Today we are living in the 21st century. It is necessary to control the home from desire location. Home automation is the control of any electrically and electronics device in our home and office, whether we are there or away. There are hundreds of products available that allow us to control the devices automatically with using the raspberry pi model by the webpage. This Home automation system provides the user with the webpage of various lights and appliances within their home. Home automation and benefits will be a focus on and how this can be achieved through the use of the raspberry pi. The mobile device will communicate with a home automation network through an internet gateway, but cannot directly communicate with the devices in the network. In this project, the android devices would control the home appliances using the internet and raspberry pi as the server system. The relay circuit board will be interfaced by the raspberry pi. This relay circuit board will control the home appliances.
Published by: Dr. Ashok .J, Chavan J. J, Patil P. V, Naik P. S
Author: Dr. Ashok .J
Paper ID: V3I2-1204
Paper Status: published
Published: March 11, 2017
Control of Vehicle Pollution Through IOT
The large majority of today's cars and trucks travel by using internal combustion engines that burn gasoline or other fossil fuels. The process of burning gasoline to power cars and trucks contributes to air pollution by releasing a variety of emissions into the atmosphere. Emissions that are released directly into the atmosphere from the tailpipes of vehicles are the primary source of vehicular pollution. With the increase in urbanization and industrialization and due to poor control on emissions, a great amount of particulate and toxic gasses are produced. So, in our proposed system we use of a spectrophotometer (spectrophotometry method) as a sensor to identify the toxic gas. Missions are measured during regular basis and informed to the user if above the permitted level and the failure of the sensor. If the user doesn’t take any action within a week the alert is passed to the server of the pollution monitoring center through Internet of Things (IoT). The center decides the fine amount and intimates the user.
Published by: Rose Sweetlin .T, Priyadharshini .D, Preethi .S, Sikkandar Sulaiman .A
Author: Rose Sweetlin .T
Paper ID: V3I2-1201
Paper Status: published
Published: March 10, 2017
Design of Aging Aware Reliable Multiplier Using Mixed Bypassing Technique
Digital multipliers have many numbers of DSP applications. The overall performance leans on the output of the multiplier. When we apply a negative bias to the PMOS transistor, there occurs temperature instability. The minimum voltage at which the PMOS transistor is ON will be increased whereas it decreases the multiplier speed. Similarly, if we apply a positive bias to the NMOS transistor, temperature instability occurs.This degrades the transistors speed and the system fails because there is a violation in time. There exists an aging-aware multiplier with adaptive hold logic (AHL) circuit. This circuit provides higher throughput through the variable latency. In the existing method, Row or Column bypassing is done to reduce the aging effect. Our desired structure is that we are bypassing column and row together so that the throughput can be increased. We are implementing our advanced design in real time applications like FIR filters.
Published by: Gowthami .G, S. Suganya, Karthika .G, Deepika .D, Indhumathi .N
Author: Gowthami .G
Paper ID: V3I2-1200
Paper Status: published
Published: March 10, 2017
Analysis and Improved Performance of ANN Based Chaotic Generator
The main objective of this research paper is to analysis on the improved performance of ANN based chaotic generator. We are analyzing the performance of chaotic generator model during encryption and description and produced outcomes compare with earlier published work scenario. In this work Encryption and decryption of binary value has been completed by the same value. Chaotic neural network algorithm used for producing the random chaotic sequence.[1][2] Produced random chaotic sequence value is the encrypted binary ASCII values of A to Z sequence of original ASCII Code binary value, with a same initial parameter. This paper provides a review on the use of improved the performance of ANN based chaotic generator and provides high range of security in the field of cryptography.
Published by: Sona Mishra, Amit Mishra
Author: Sona Mishra
Paper ID: V3I2-1199
Paper Status: published
Published: March 10, 2017
Design & Optimization of Finfet Based Schmitt Trigger Using Leakage Reduction Techniques
In this proposed work we are applying valuable power gating schemes to FinFET based Schmitt trigger to enhance its performance by reducing the leakage current in standby mode (off-state mode). The power gating schemes like Sleep Transistor approach and Multi-Threshold CMOS (MTCMOS) and Double-Threshold CMOS(DTCMOS) have been analysed and simulated which shows the tremendous reduction in the leakage current thus increasing the stability of the design. In this paper, different consecutive designs of PULL-UP and PULL-DOWN networks of NMOS and PMOS are applied to FinFET based Schmitt trigger one after another. Due to this treatment of PULL-UP and PULL-DOWN network, controlled voltage supply is obtained and the current driving capability of the design is increased, the hence less Gate leakage current is formed. This provides the motivation to explore the design of low leakage FinFET based Schmitt trigger. Simulation is performed on the cadence virtuoso tool in 45nm technology and simulation results revealed that there is a significant reduction in leakage current for this proposed design.
Published by: Priyadharshini .M, Anitha .R, Saranya .P, Sindhu .M, Sindhu .K
Author: Priyadharshini .M
Paper ID: V3I2-1198
Paper Status: published
Published: March 10, 2017
Automated Diagnosis of Heart Disease using Random Forest Algorithm
The accurate diagnosis of heart diseases, is one of the most important biomedical problems whose administration is imperative. In the proposed work, decision support system is made by three data mining techniques namely Classical Random Forest, Modified Random Forest and Weighted Random Forest. The classical random forests construct a collection of trees. In Modified Random Forest, the tree is constructed dynamically with an online fitting procedure. A random forest is a substantial modification of bagging. Forest construction is based on three step process . 1. Forest construction 2. The polynomial fitting procedure 3.The termination criterion In Weighted Random Forest, The Attribute Weighting Method is used for improving Accuracy of Modified Random Forest. There are Two Techniques are Used in Attribute Weighting: 1. Averaged One-Dependence Estimators (AODE) 2. Decision Tree-based Attribute Weighted Averaged One-dependence Estimator( DTWAODE).
Published by: Priya Rajendra Patil, S. A Kinariwala
Author: Priya Rajendra Patil
Paper ID: V3I2-1197
Paper Status: published
Published: March 9, 2017
