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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

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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

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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

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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

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Research Paper

University chatbot with database integration using RASA

Chatbot is an Artificial Intelligence (AI) software that simulates and processes human conversations as if the humans were having a real conversation with another human. They are used in various business applications to help address human queries and assist them with important details. RASA is an open-source machine learning framework for building chatbots. RASA leverages Natural Language Understanding (NLU) to break down user messages into intent and entities which help form an appropriate response for the user’s messages. The RASA conversational assistant has several components that help predict the responses and also tune the model to get better results from the model. This paper will provide the design of a chatbot that handles basic queries of a particular university that could be used on the university website. This paper also explores how individual components of the RASA pipeline help curate the response for the users.

Published by: Harith L. K., K. Vadhi Raja, Dr. G. S. Mamatha

Author: Harith L. K.

Paper ID: V7I3-2193

Paper Status: published

Published: June 29, 2021

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Research Paper

Guidelines for the use of Smart Home Technology for Elderly People

New technology and smart homes have the potential to enhance standard of living, safety, and take care of older ones in house. The elderly and disabled can be monitored with various intelligent devices. Sensors can be ingrained into their home for continuous quality help and non-obtrusive malady hindrance. Sensor-embedded homes, or smart homes, cannot solely assist individuals with reduced physical functions, however they facilitate resolving the social isolation they face. However, we do not yet know how older people’s perceptions of these technologies may vary, in particular how views based on experience of actual use may differ from those related to anticipated use. We also do not know how older people living independently might view technology that may be of future rather than current value to them. The paper has explored older people’s views of smart home monitoring technology and compares between people with direct experience and people without. Support that, what guidelines they may want to follow while using it. From this study, one will ascertain totally different understandings by mature individuals, acceptance will increase over time and with use. Also relating to privacy, trust, usability, and more concerns about utility. This study concluded the views about the technical feasibility, affordability, impact on relationships, and about the engagement and competencies of those who would view the monitoring data to use in the design field for future use especially for elderly people.

Published by: Shivani Sanjay Mirajkar, Gauravi Ghonge, B. K. Chakravarthy, Abhijoy Banarjee

Author: Shivani Sanjay Mirajkar

Paper ID: V7I3-2189

Paper Status: published

Published: June 29, 2021

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