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Research Paper

Hear global on reality index base

As urban environments grow and become even more complex, businesses need highly accurate location intelligence technology to stay ahead. Building a scalable network that detects and identifies objects as fast as your brain starts with the vision of the vehicle. Forward-facing cameras and radar will soon be standard equipment in all cars. This project aims at every car learning from every car, car Parking place identification and continuing to enable an autonomous world with the help of tracking device (precise, end-to-end tracking and accurate, real-time, and historical locations for devices, people, and things). By combining open data with proprietary sources and technologies car sensor data and AI, the HEAR location platform offers a uniquely complete location data set along. The raw images captured by cameras may contain noises, the lighting of workspaces, a flickering of light sources. The preprocessing includes filtering out the noises, images conversions into different color spaces, blurring the image, edge detection, line detection, circle detection. The current project paper comprises of the development of image processing based parking space management. This project will implement based on the theories of Background subtraction algorithm. The usage of this algorithm will be used as a mapping method to reduce the error of detecting the vehicle. The explanation of algorithms such as Background subtraction algorithm and the implementation of Open CV as software to manipulate the image program will be used throughout the project

Published by: Pureti Anusha, Koncha Tejaswini, Mula Srilakshmi, Dhulipalla Sai kumar, Darla Srujana

Author: Pureti Anusha

Paper ID: V5I2-1179

Paper Status: published

Published: March 8, 2019

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Research Paper

Intelligent model for predicting water quality

Over the decades, water pollution has been a real threat to the living species. The real-time monitoring of drinking water is nothing less than a challenging task. This paper aims to design and develop a low-cost system for the real-time monitoring of water quality using Internet of Things (IoT) and Machine Learning (ML). The physical and chemical parameters of the water such as temperature, level, moisture, humidity, and visibility are measured using respective sensors. ESP8266, the core controller is employed to process the measured values from the sensors. The data acquired from Sensors are sent to the Django server. Random Forest (RF) and K-Nearest Neighbours (KNN) algorithm are used in the analysis and prediction of water quality.

Published by: Ashwini K., J. Janice Vedha, D. Diviya, M. Deva Priya

Author: Ashwini K.

Paper ID: V5I2-1160

Paper Status: published

Published: March 8, 2019

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Research Paper

Comparative analysis of ECC and Hessian Elliptic curve based message cryptosystem

Security is the major concern in nowadays in many applications, many algorithms were proposed majorly categorized into symmetric and asymmetric key cryptographic algorithms. The limitations with symmetric key cryptography are the scope of knowing the shared key between the communicators to intruders. Hence, asymmetric key cryptography algorithms were performed, among those ECC is one best mechanism. This paper is aiming at the analysis of time complexity, efficiency and security levels of Elliptic Curve Cryptography(ECC) and based upon the analysis, further extension to a strong encryption and decryption algorithm. In addition to that ECC will be extended to other ECC based derived algorithms include Hessian algorithm. Due to the many important properties making the model attractive in cryptography, a paper code is implemented in the Magma software to ensure the correctness of formulas in this work. A comparative analysis will be done among the ECC and Hessian algorithm.

Published by: Palaka Venkata Gangadhar Naveen, Nayana Rao, Dr. R. Sivaranjani

Author: Palaka Venkata Gangadhar Naveen

Paper ID: V5I2-1188

Paper Status: published

Published: March 7, 2019

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Review Paper

Multifunctional robots: A review

Robots replace humans in performing repetitive and dangerous tasks which are guided by a computer program or electronic circuitry. The goal of a robot is to reach remote areas and perform various tasks such as locomotion, sensing harmful gases, metal detection, sound sense, live video streaming and so on. Since these robots perform many functions, they are referred to as multifunctional robots. There are various types of robots. Robots which are used to keep an eye, supervisory control on intrusion thereby function as spy robots. Military robots are used to carry out many risky jobs that cannot be done by the soldiers, thereby saving human lives and reducing manual error in the field of defense. A wireless multipurpose robot can be navigated around the disaster areas to find the humans who need help and also to identify forest fire. Combat robot is designed to tackle cruel terror attacks which can be radio operated, self-powered and has all the controls like a combat vehicle. Soft spider robots are used to perform delicate surgical procedures in the human body which is too unpredictable to be performed by rigid robots. Camouflage robot is designed to duplicate the colors on which it moves on, hence being impersonated by the outside world. Rescue robots are a type of mobile robots which are used to complete search and rescue missions during natural disasters and other emergency situations. Therefore, robots play a very important role in making the tasks performed by humans easier, faster and efficient, thereby increasing speed and productivity.

Published by: S. B. Soumya, Seemab Sultana, S. M. Shivani, Vamaravelli Kavya, Pushpa Y.

Author: S. B. Soumya

Paper ID: V5I2-1157

Paper Status: published

Published: March 7, 2019

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Dissertations

Family impact on students’ motivation in Kanyakumari district

This study tries to identify the impact of some family important variable on students' Motivation. Several studies had stressed out the significance of study students' motivation as a move toward to improve their academic performance and develop the firm image. The families and society's changing values and cultures have a great impact on the students' motivation and their academic integration and recital. The questionnaire has consisted of some items. Results showed that students tend to attribute their academic success to internal factors such as hard working while they feature their failure to external factors such as family crisis.

Published by: T. Karthika Devi

Author: T. Karthika Devi

Paper ID: V5I2-1141

Paper Status: published

Published: March 7, 2019

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Survey Report

A survey on motion picture prediction using data mining

In this study, a mathematical model used to predict an upcoming movie success class. This will help to suggest as your interest before release based on several attributes and It will take the suggestion from different linked social sites to determine the interest of the audience. It also shows the most interesting result on top of your list. Many film studios collectively produce several hundred movies every year; the budget of this movie is of the order of hundreds of millions, making their Box office success absolutely essential for the survival of the Industry. Knowing which movie is going to succeed and which are going to fail before the release could benefit the Industry. In this paper, we have enlisted some existing movie prediction using data mining for predicting success and failure by considering their advantages and disadvantages.

Published by: Abhishek More, Sharique Khan, Thabreez Izzudeen

Author: Abhishek More

Paper ID: V5I2-1156

Paper Status: published

Published: March 7, 2019

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