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Predicting Diabetes using Machine Learning Technique

Diabetes is a chronic illness with the potential to induce a worldwide health care crisis. As per the International Diabetes Federation, 382 million people exist with diabetes in the world currently. By 2035, the number is expected to be doubled as 592 million. Diabetes mellitus or diabetes is a disease generally induced due to the grown level of glucose in the blood. Physical and chemical tests are different traditional methods for diagnosing diabetes. However, diabetes prediction in advance is pretty challenging for medical practitioners due to complicated interdependence on multiple factors as diabetes influences individual organs such as eye, heart, kidney, eye, nerves, foot, etc. Data science techniques have the potential to help the medical field by answering some of the general questions. One such task is to facilitate predictions on medical data. Machine learning is the most useful technology for the medical field in data science. Machine learning is helpful because of the way machines learn from experience. This project aims to propose a valuable technique for earlier detection of the diabetes disease for a patient with higher efficiency by combining the outcomes of different machine learning techniques, the supervised machine learning methods including Decision Tree, Logistic Regression, Random Forest, Neural Network, XGBoost, and Support Vector Machine

Published by: A. K. Aravind Kumar

Author: A. K. Aravind Kumar

Paper ID: V6I5-1152

Paper Status: published

Published: September 11, 2020

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Research Paper

Development and biochemical analysis of Amla-Betel leaf extract impregnated jelly

The objective of this research work is about developing a herbal jelly by incorporating Amla and betel leaf extract. Amla is a green colour translucent fruit which is loaded with more nutritional benefits. Amla is an excellent source of vitamin c and this vitamin c helps in building our immunity. Next is the betel leaf extract which is also enriched with more health benefits. These betel leaves are full of vitamin c,niacin and riboflavin and it has an Excellent healing properties. These betel leaf treat colds and also aids in digestion. So our idea is to develop a jelly by combining all these products. Our jelly is completely free of artificial colouring and flavouring agents. After preparation,the jelly was filled in sterilized bottles and stored under both ambient and refrigeration temperature for about 60 days and the biochemical parameters such as moisture content, TSS, pH, Titratable acidity were analysed. Under ambient temperature, moisture content decreased from 26.80% to 24.90 %and pH increased from 3.6 to 4.3 and Tss increased from 65 degree brix to 72 degree brix and Titratable acidity increased from 0.48 % to 0.67%.Under refrigeration temperature, the moisture content decreased from 26.80% to 25.83%, ph increased from 3.6 to 4.2,Tss increased from 65degree brix to 69degree brix and titratable acidity increased 0.48% to 0.54%. Sensory evaluation was also performed and the developed jelly obtained an excellent sensory score.

Published by: M. Akshara, Mohana Priya R., K. Pooja

Author: M. Akshara

Paper ID: V6I5-1146

Paper Status: published

Published: September 11, 2020

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Research Paper

An introduction to context-aware security and User Entity Behavior Analytics

A context aware system is recognized as a "system which uses any context information previous to, or in the duration of, service stipulations", whereas the main goal of this system is to identify any suspicious activity done by the users. The mobility feature of most computing and personal devices have made the 'context of the user' an important aspect of the system. Nowadays with the ever-increasing digitization of the workplace, employees are using their personal devices along with the organization resources provided to them. Context Aware security systems vary from conventional systems, as they provide unique characteristics such as name, geolocation, time of day or type of endpoint system to boost information security decisions. Combine this with a model that notifies and alienates any abnormal activity by the user, we have a strong security measure against harmful cyber activities such as unauthorized end users accessing confidential data, preventing users to download sensitive data onto external devices, and so on. Context-aware security systems address the usability challenge of accessibility and authentication, i.e., to use inferential information such as geolocation, identity, type of endpoint device, or time of day to enhance information security decisions. The use and importance of this system is increasing and therefore plays a huge role in prospective pervasive systems. The goal of this paper is to introduce the reader to the concept of context aware security and lay the groundwork that one needs to get accustomed to the topic, by extracting various topics from different research papers.

Published by: Yash Arohan, Ashwin Yadav, Aakash Pandey, Shardul Churi, Manvi Saxena, Akshit Vaghani

Author: Yash Arohan

Paper ID: V6I5-1137

Paper Status: published

Published: September 11, 2020

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Research Paper

Discrimination faced by a girl child in the 21st century in India

There is a fast growing notion that stereotypes feminism as misogyny and advocates that men are unfairly portrayed as the superior gender. Through this paper, case studies, evidence, and facts have been provided discussing the prevalent gender stereotypes and norms along with the gender specific crime rates. The paper has taken India as its object of study and found statistics all based on the current timeline of the 21st century to highlight these facts. It aims to prove that acceptance of equality in the face of adversity and obvious discrimination puts centuries of struggle by women on the back foot, and that the growing norm is in fact false under the discussed parameters.

Published by: Eshanya Agrawal

Author: Eshanya Agrawal

Paper ID: V6I5-1138

Paper Status: published

Published: September 5, 2020

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Research Paper

Thermal modelling of spark in wire cut EDM

Wire EDM is a non-contact machining process of contouring different intricate shapes from bulk material. The phenomenon behind material removal is high temperature due to spark in the wire the material melts and vapours. This process enables the manufacturer to fabricate new high-temperature resistive material. The wire is made of brass on which the analysis has been carried out. The existing work deals with Thermal modelling of spark using ABAQUS CAE software. The material of wire considered is brass. Heat transfer is transient in nature due very small time available to single spark. The variation of heat flux and temperature were analyzed by results obtained from modelling.

Published by: Venkat Lalit Shukla, Dr. S. K. S. Yadav

Author: Venkat Lalit Shukla

Paper ID: V6I5-1145

Paper Status: published

Published: September 5, 2020

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Research Paper

Portable IoT based health monitoring system

In present times, the number of patients is increasing rapidly. There are many health management systems and the systems are lacking in one or other features. One of the major issues is that not all patients are treated with utmost care which can sometimes be dangerous in case of emergency or critical patients and common people cannot be able to afford the basic health monitoring system. The lack of communication between patients and the hospital staff might be there because of the patient’s health conditions, effects of medication, because they have an ongoing disability. Existing systems are digital but they aren't portable, which creates a vast problem and communication gap between hospital staff and patients. This motivates us to solve the aforementioned problems in the existing system using sensors which solve the problem of portable devices for measuring the patient health parameters and send the readings to the cloud database, these reading can be used by the doctor during patient diagnosis as the history is saved in the cloud . The proposed health management system will solve the problems related to real-time monitoring of patient’s conditions without being connected to the bed in the hospital all the time as it is simple to implement, use and cost effective.

Published by: Bhuvaneshwari Patil

Author: Bhuvaneshwari Patil

Paper ID: V6I5-1144

Paper Status: published

Published: September 5, 2020

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