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Research Paper

Improving the accuracy of Neural Networks through Ensemble Techniques

Neural networks usually suffer from model performance problems due to high variance. Ensemble techniques refer to the method of combining multiple models resulting in improving the overall performance of the model. The overall performance can be improved by combining the predictions from multiple models having a good accuracy instead of highly tuning the models, to reduce the variance of predictions and reduce the error due to generalization. In this paper, the different types of ensemble techniques such as stacking ensemble, horizontal voting, and weight average ensemble are being discussed which can be used to improve the model accuracy. The numerous disadvantages of hyperparameter tuning like the wrong choice of parameters, overfitting, and other inefficient optimizing strategies can be overcome using ensemble techniques. The ensemble techniques have numerous advantages such as improving the model performances, reduction of model variance, and so on. Accuracy is improved because results are obtained using the mean predictions of the number of sub-models and the performance is improved with the learning weights of each of the models.

Published by: Monalika Padma Reddy, Deeksha A.

Author: Monalika Padma Reddy

Paper ID: V7I4-1174

Paper Status: published

Published: July 2, 2021

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Research Paper

Study on thermal conductivity of fiber-reinforced light weight concrete using natural fibers

Lightweight concrete has lower thermal conductivity and a lower coefficient of thermal expansion. This project aims to develop Eco-friendly thermally insulated lightweight concrete by using fibers. Hemp and sisal are natural fibers that play a major role in the reduction of thermal conductivity. Vermiculite is a naturally available material that can be used for lightweight concrete furthermore provides good thermal insulation. Reducing the thermal conductivity by adding fibers in different proportions (1%,1.5%,2%) in concrete where Vermiculite is partially replaced with fine aggregate and Fly ash is partially replaced with cement in which shows a reduction in thermal conductivity and also it can be used for lightweight concrete. The thermal conductivity of the concrete is tested for different mix proportions. Then the mechanical property and durability of the concrete are tested for different proportions. The thermal conductivity of the fiber-reinforced lightweight concrete is tested and the results show that when the amount of fiber increased the thermal conductivity is low. Thus, the low thermal conductivity is obtained by natural fibers. The mechanical strength of the different proportions of mixes are carried out and results show that the increase in fiber reduces the strength. The plate and wall panel are analyzed in Abaqus for the control mix and low thermal conductivity fiber-reinforced lightweight concrete mix which gives the minimum thermal conductivity and appropriate strength. The results from these experiments are found out that the natural fibers and vermiculite can be a good solution for thermally insulated Eco-friendly building construction

Published by: Shiva Shankari N., Nithyapriya K.

Author: Shiva Shankari N.

Paper ID: V7I4-1169

Paper Status: published

Published: July 2, 2021

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Review Paper

Dielectric Resonator Oscillator

This paper describes the detailed theory of design of DRO. The design parameters of the Dielectric resonator oscillator (DRO) and the different techniques used to design DRO are illustrated. The use of a negative resistance amplifier (NRC) and the dielectric resonator in the design of DRO are explained.

Published by: Manisha B., Dr. K. Sreelakshmi, Ranjit Kumar Dora

Author: Manisha B.

Paper ID: V7I4-1154

Paper Status: published

Published: July 2, 2021

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Research Paper

Implementation of IoT based smart village for rural development

Villages are considered the heart of our nation India and the economic growth of villages along with cities is as important to us. Hence, for the development to percolate to the grass-root level, the focus must be devoted to the progress of the village. Enabling the concept of IoT (Internet of things) for increasing the possibilities of agriculture growth and productivity, sanitation and well maintenance of drainage which concerned cattle health and human health would lead to the growth of farmers for their smart lifestyle. Therefore, farmers need appropriate facilities and guidance in making their village smart, so this paper IoT implementation proposed for farmers where various data is collected regarding the weather, moist content in soil, blockage and clearance drainage along with harmful gases and dairy products where this information is delivered. This system through raspbian OS, taking input from sensors like IR, UV, LDR. The data is analyzed by collective information and auto-mechanism of some instruments which are connected to reach the target are initiated along sending appropriate messages through GSM to their phones, where Wi-Fi is by default feature included raspberry pi board as no internet connection is required again for communication.

Published by: Shwetha R., Ramyashree P., Sagar R. Sankole, Goutam R.

Author: Shwetha R.

Paper ID: V7I4-1167

Paper Status: published

Published: July 2, 2021

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Research Paper

Use of solar energy to improve the performance of a jaggery manufacturing unit

Jaggery is a boiled sugar cane juice used as a sweetener. Because the combustion process in the jaggery industry has an energy-intensive nature, previous literature studies have introduced various changes in processes and equipment to affect its energy efficiency. This study helps to comprehend commodity alterations and utilization in jaggery by proffering an exergy analysis. The baseline process has been modified operationally to calculate the efficiency of exergies and exergy destruction. By the amendments have respectively enhanced thermal performance and exergy efficiency by 11.2 percent and 0.8 percent. Extensive exergies were expended as excessive energy as flue gas which, due to change requests, was reduced by 11.5 percent. The data indicate that while environmental flue gas was the most apparent type of gas, exergy destruction by irreversible combustion factors caused the largest type of resource use. The study in this report increases the efficiency of energy use as well as setbacks through exergy analytical form.

Published by: Akshay Kaushal

Author: Akshay Kaushal

Paper ID: V7I4-1173

Paper Status: published

Published: July 2, 2021

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Research Paper

Home security surveillance

Advancing technology in the field of facial recognition systems (FRS) and optical character recognition(OCR), closed-circuit television (CCTV), and automatic license plate readers could make it possible to create a system that could make the gates of society/ homes intelligent. This project examines the convergence of these technologies to design an efficient system and improve the speed and accuracy of potential burglary or break-in identification, also through facial recognition systems and optical character recognition, we aim to automate Guest Authentication and to provide another layer of protection and create a deterrent to burglary and also automate guest authentication via FRS and OCR (which will make the process safer as well as efficient)

Published by: Shubham Tiwari, Rohit Mishra, Ryan Sumbli, Subham Gupta

Author: Shubham Tiwari

Paper ID: V7I4-1168

Paper Status: published

Published: July 2, 2021

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