Manuscripts

Recent Papers

Research Paper

Virtual telepresence robot

This paper proposes a method for a Virtual Telepresence Robot. That is a user can control a wireless robot remotely from any part of the world along with the live video transmission from the robot’s location. The 3 components of this project are the wheeled-robot, the camera with pan-tilt head mechanism and a web server (Flask Web Server). Raspberry Pi is the central component that interfaces user and the virtual telepresence robot over internet. The web interface is built on a flask Micro-web server application, which used to control the robot in localhost, further Ngrok is used for tunnelling local host web server to internet, through which the user can control the robot over the internet. The web server sends a wireless command which is received by Raspberry pi thus actuating robot and camera directions. The MJPEG streamer application is used for streaming video that gets mjpeg data and sends it through the HTTP session. The Raspberry pi is programmed in python language.

Published by: Lavanya M., M. L. Vaishnavi, M. Raaga Vaishnavi, Manish T. J., Veerappa Chikkagoudar

Author: Lavanya M.

Paper ID: V7I3-2208

Paper Status: published

Published: June 30, 2021

Full Details
Research Paper

Lack of skilled management personal in small and medium constructions

Small and medium enterprises precisely known as SMEs in our country are an important and integral part of our nation’s growth in the economy. Other integral development in our country is largely based upon the SME’s. Skill shortage in the construction industry is persisting throughout the century in all levels of management. But there is very little evidence for skill shortage in the management level of construction industries. Skill shortage directly impacts the project outcomes in terms of profit validity and other aspects. Skill shortage in the workplace not only impacts the particular employer it affects the overall organization settings. This study will discuss more on skill shortage causes and factors and how it impacts the project outcomes and how it impacts the organization set up and the methods and other aspects to mitigate the skill shortages.

Published by: Hamilton Shaju, Vilasini Suman, Z. Fathima Taskeen

Author: Hamilton Shaju

Paper ID: V7I3-2207

Paper Status: published

Published: June 30, 2021

Full Details
Research Paper

Climate change, Sustainable development concerns: North-Eastern Hilly Region, India

Climate change has been a major issue for which many environmentalists, researchers, scientists and professionals directly or indirectly involved with, are working rigorously to understand, delay and minimise the impacts it is creating on human life. The major need for sustainability begins with the rise in global temperature which has created subsequent multifaceted problems. The UN has been working on various protocols to control the temperature change in the climate. But the climate changes are exponentially impacting areas and creating zones of vulnerable. The aim of this paper is to study the vulnerabilities of a hilly terrain to understand the issues that have arisen due to disruption in regular patterns in the climatic conditions. The changes considered over a period of years include livelihood, economic status, geographic conditions, climate, etc.

Published by: K. Nagaraju

Author: K. Nagaraju

Paper ID: V7I3-2196

Paper Status: published

Published: June 29, 2021

Full Details
Research Paper

Child safety GPS tracker system

This paper suggests the idea of designing a child's GPS system using Root that will help parents monitor the child even when he is not at home and find all of his child's activities in any remote part all over the globe. It is a new, effective, smart, and protective way for the Cradle System to raise a successful child. Hear the program checks all her details of the minutes needed to care for and protect her baby at birth. intelligent design and design using technologies/methods including Internet of Things (IoT) (Module such as Node-MCU, temperature sensing), Cry Detecting Mechanism, Cloud Computing (Data Storage), and User-Friendly IoT application (for user controls). To be able to see the work of each child, including the different sensors/modules o Cradle: Comprehension Module for getting Water in his Bed, All his details such as those sensors/modules will be stored in the Android App.

Published by: N. Pavan Satya Kumar, B. Anvesh Varma, A. Vishal

Author: N. Pavan Satya Kumar

Paper ID: V7I3-2206

Paper Status: published

Published: June 29, 2021

Full Details
Thesis

Diagnosis of Bone Fissure Fracture detection using OpenCV Tool

New technologies are emerging daily in different fields, most employed technologies are in a medical environment. However, still, there are many old techniques that are quite popular, very efficient and also very effective in this manner. X-Rays are one of these techniques that are used for the detection of bone fractures and injuries. But sometimes the size of fractures is not significant and could not be detected easily or when the size of the fracture is too small. Therefore, effective and intelligent systems should be designed to overcome these problems. This paper aims to develop a classification system that would be capable of detecting and classifying bone fractures. The developed system comprises of different principal stages. The images of the fractures are processed using different image processing techniques using OpenCV in order to detect their location and shapes.

Published by: Manpreet Kaur, Bharti, Dr. Naveen Dhillon

Author: Manpreet Kaur

Paper ID: V7I3-2205

Paper Status: published

Published: June 29, 2021

Full Details
Research Paper

Customer segmentation

Now a days, maintaining customer loyalty and attention span of the customers are major challenges faced by the retail industry. This leads to the need for reinforcement of marketing strategies from time to time. This project “CUSTOMER SEGMENTATION” main objective is to segment the customer by analyzing their behavior, their needs and their interests. It is a systematic approach for targeting customers and providing maximum profit to the organizations. An important initial step is to analyze the data of sales from the purchase history and determine the parameters that have the maximum correlation. Based on respective clusters, proper resources can be channeled towards profitable customers using machine learning algorithms.

Published by: Pappala Shamili Kumari, Nutalapati Sai Lavanya, Parvatham Hari Chandana, Polamarasetty Lakshmi Nithisha, Datti Lalitha Kumari

Author: Pappala Shamili Kumari

Paper ID: V7I3-2192

Paper Status: published

Published: June 29, 2021

Full Details