Sentiment analysis for Twitter data
Sentiment Analysis or analyzing emotion can be the process of understanding various textual opinions. Also known as opinion mining or emotional AI. People are interested in posting comments on social media that refer to their event experience to understand if most people had a positive or negative experience with the same incident. This classification is being achieved using Sentiment Analysis. Sentiment analysis takes a few unstructured text comments, events, etc. In all comments posted by multiple users and classifies the comments into different categories as positive or negative opinions. This is also called the Polarity classification. Sentimental Analysis is performed by text analysis and linguistics. This work aims to compare the performance of various machine learning algorithms when performing sentiment analysis for Twitter data.
Published by: Sampada Mohan Naik, Mythri B., Neha T. S., Prathiksha M., Sunil G. L.
Author: Sampada Mohan Naik
Paper ID: V7I3-2217
Paper Status: published
Published: June 30, 2021
Waste minimization in construction using lean six sigma
In India, the construction industry is one of the largest industries after the agriculture industry. It produces a large quantity of waste and consumes more resources, which makes construction a troubling task. The application of new technology, the Lean Six Sigma concept is likely to be effective for improving the efficiency of the construction industry. It aims to eliminate all defects and also to minimize the wastage of materials, time, and effort in order to generate the maximum possible amount of value. The aim of this study is to evaluate, Lean six sigma as a process improvement method to improve the construction process by, understanding and analyzing the factors affecting the formation of construction wastes. It is not possible to implement a lean philosophy into a company, without understanding the basics and purpose for which they were introduced. The practical part of the study is devoted to a detailed analysis construction process using the well-known Six Sigma cycle DMAIC - an abbreviation of the words: Define - Measure - Analyze - Improve - Control. The analysis was carried out on the basis of net study and interviews with the construction management and employees of subcontracting companies present at the construction site. The set of 45 potential factors which contribute most to waste generation was identified. A questionnaire survey was developed and sent to architects, contractors, and project managers involved with on-site construction activities. It can be said that using quality management tools (Lean and Sig Sigma principles) it is possible to visibly improve building processes and it is likely to achieve waste minimization before and during construction works.
Published by: Irene Devakirubai, V. Vidya Naveen
Author: Irene Devakirubai
Paper ID: V7I3-2209
Paper Status: published
Published: June 30, 2021
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
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
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
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
