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Review Paper

Experimental investigation on performance analysis of dual-axis solar tracker

This paper presents the experimental investigation on the performance of dual-axis Solar Tracker. The main objective of the project is to generate an optimal level of electrical energy through the solar panels. The solar tracker is a device that tracks the density of sun rays and ensuring that the maximum amount of sunlight strikes the panel. The power output from the solar panel is maximum when it is facing 90 degrees. The major components used for this project are Arduino, DC motor, light-dependent resistors (LDR), solar panel. The active Light Dependent Resistor (LDR) continuously monitors the sunlight and rotate the panel towards the direction where the intensity of the sunlight is maximum. These light sensors also compare the darkness and cloudy and sunny conditions assisting daily tracking. The designed tracker can track the sun’s apparent position at different months and seasons. The device is able to simulate the sun’s tracking of 12 months within a few minutes thus, implementing automatic mechanisms in the tracking system.

Published by: Ohmsakthi Vel, Santhosh, Upanraj, Mohammed Jaffar Sadiq

Author: Ohmsakthi Vel

Paper ID: V6I4-1231

Paper Status: published

Published: July 19, 2020

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Research Paper

Comparitive study on self cleaning property of Activated charcoal supported Bi2O3−ZnO with other coupled semiconductor oxide nanocomposites

The development of active semiconductor oxide nanomaterials creates a vital role in catalytic effective materials. Here we compare the self-cleaning property of Activated charcoal supported Bi2O3 – ZnO (AC−BZ) nanocomposites with other Photocatalytic nanocomposites of CdWO4 −ZnO and Pr6O11 − Zn. This study has been evaluated using contact angle measurement and our results give some new vision on the performance of coupled semiconductor oxide nanomaterials on an environmental basis.

Published by: G. Ida, D. Easwaramoorthy

Author: G. Ida

Paper ID: V6I4-1224

Paper Status: published

Published: July 19, 2020

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Research Paper

Don’t Sleep – Drowsiness Detection Tool

An important application for machine vision and image processing can be the driver's recovery program because of its high importance. In recent years a number of research works have been reported in the literature in this field. In this paper, in contrast to the conventional tone detection methods, which are based on eye regions alone, we have used facial expressions to detect drowsiness. There are many challenges that involve pull detection systems. Some of the important issues are: changes in stiffness due to lighting conditions, the presence of glasses and beards on a person's face. For this project, I propose and implement an infrared light-based hardware system and can be used to solve these problems. In the proposed method, following the acquisition step of the face, the most important face elements and considered to be the most effective, are extracted and tracked in the video sequence frames. The system is monitored and performed locally. Every year more and more people lose their lives because of fatal road accidents worldwide and hot driving is one of the leading causes of road accidents and deaths. Exhaustion and poor sleep in the most common driving sources are the cause of major accidents. However, the first signs of fatigue may appear before the emergence of a crisis and therefore, the diagnosis of driver fatigue and its identification is a topic of further research. Most traditional methods of getting sleep are based on behavioral behavior while some are less confusing and may distract motorists, while others require expensive sensors. So, in this paper, a light weight, driver-specific death detection system was developed and implemented in the Android app. The program records videos and recognizes the face of the driver in all sectors using image printing techniques. The system can detect facial expressions, including the Eye Aspect Ratio (EAR) to detect driver drowsiness based on a changing threshold. Machine learning algorithms were employed to test the performance of the proposed method.

Published by: Anjaneya Turai

Author: Anjaneya Turai

Paper ID: V6I4-1205

Paper Status: published

Published: July 19, 2020

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Review Paper

Review paper on connecting the dots using drones

From the past few years, drones have been a trending topic surrounding technology. There are many applications leading to the advancement of the drones such as aerial photography as well as videography, shipping and delivery, geographic mapping, disaster management, precision agriculture, search and rescue operations, weather forecast, wildlife monitoring, law enforcement, and many more. In a country like India, drones will play a vital role in dealing with problems from the front. A Drone with the latest technology onboard will be able to change the downgraded frame of India. Like a drone with a medical kit will give higher efficiency in reachability, remote farming will be smoothly operated using a drone, from a military point view it will be helpful in guarding the hilly posts over LOC, etc. Thus if the future technology implemented as soon as possible in India it will provide huge latency.

Published by: Shritish Shete, Siddhi Dave

Author: Shritish Shete

Paper ID: V6I4-1194

Paper Status: published

Published: July 19, 2020

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Research Paper

Parameter extraction for audio signal

Speech is a signal which consisting of various complex information, like the information contain in a signal which to be communicate, language, speaker, region, emotions etc. Speech Processing is one of the important parts of signal processing and finds applications in Audio mining, Human computer interfaces, Assistive technologies, Telecommunication, Security etc. For the speaker identification and emotion analysis Gender Identification is a pre requites. By analyzing the features of different voice signals of male & female it can be determined that which parameters are creating a difference in between the male voice & female voice. For this a comparison between the different parameters present in a voice signal like energy, mean, median and standard deviation is done. It observed that in the graph of mean and standard deviation one can differentiate between a male voice and female as the statistical results are shown. In this paper an input voice signal taken as .wav file and added some noise or unwanted signal; the unwanted noise signals are removed from the original signal by reducing the intensities of high frequencies by averaging and Gaussian window for the smoothing and conv function to removing the pseudo numbers that added as a noise to the original signal

Published by: Neha Sohani Mohanty

Author: Neha Sohani Mohanty

Paper ID: V6I4-1222

Paper Status: published

Published: July 18, 2020

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Thesis

Law of ten generations gap in Heredity

Heredity is the transfer of physical or behaviour characters genetically from one generation to another through genetic material.During the transfer of the genetic material only half of them from both the parents will be transfered to the offspring. The question here is, how many generation genes that was transferred from our forefathers exist in our genetic material,If present how much it will be and what all ways genes from the forefathers can be moved.For finding a suitable answer and explanation to this I put forwarding some new ideas in relate to this

Published by: Ajil Benny

Author: Ajil Benny

Paper ID: V6I4-1232

Paper Status: published

Published: July 17, 2020

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