Breast Cancer Tumor Detection
Women in India confront serious fatalities such as respiratory difficulties, but some also confront serious diseases in the form of breast cancer, which differs for each lady; This dangerous illness has been detected in more than half of middle-aged women. Breast cancer is found by looking for lumps in women's breasts that look like tumors. These anomalies' cells can be treated right away if they're found. However, benign tumors, which are fully non-cancerous, can form lumps with cells of the same size and no structural changes between them. Machine Learning(ML) techniques are frequently utilized to create tools for physicians and diagnosis of carcinoma, which can dramatically improve patient survival rates. The goal of this project is to create a machine learning system that can predict if a tumor is benign or malignant, as well as visualize the properties of both cancers will next be illustrated via graph plotting. Support Vector Classifier(SVC), Logistic Regression, Decision Tree Classifier, and KNN are the used Machine Learning(ML) Algorithms for Breast Cancer Tumor Detection. To compare and assess the accuracy and ROC plotting performance of Machine Learning Classifiers.
Published by: Siddagangu S., Nadhiem Latief, Rekha B. S., Smitha G. R., Priya Bansal
Author: Siddagangu S.
Paper ID: V7I3-1978
Paper Status: published
Published: June 21, 2021
Contactless sanitizer dispensing and temperature reading
In recent times with the rapid spread and chaotic effect of the Covid-19 pandemic, avoiding any exposure to the viruses should be evaded, which has become a compulsion. The basic concept of this project is to make an approach to make the process contactless and hassle-free. ‘Automated hand sanitizer dispenser’ was our mini project which used Arduino Uno as the microcontroller, Ultrasonic sensor as the automated sensor interface to check the presence of the hand and other relative components to make a circuit system pump a certain quantity of sanitizer every time a hand is sensed beneath the setup. Certain plug-ins and switch connections are added to monitor the usage period. Once the circuit is switched ON the Arduino UNO which functions with respect to the code and relative to the relay, which processes the motor to accelerate the pump which will dispense a certain amount of sanitizer from the container automatically. The ‘Contactless Temperature Reading’ is an extension of our mini-project. The purpose of this project in its entirety is to dispense sanitizer and to read the human temperature in a contactless manner. In order to realize the human body temperature fast and non-contact mode, an infrared human body temperature sensor is mainly used to convert the human body’s infrared into a voltage signal, which is then converted into an electrical signal that is passed to Arduino NANO, which is the microcontroller in this case. The signal is then passed to OLED to display the temperature on the screen. The ultrasonic sensor is used to know the distance at which the object is placed. It detects the object with the help of a reflected echo signal. The power generated on the Arduino NANO board is enough for the proper functioning of the thermometer. The detected temperature is displayed on the OLED display along with a buzz note from the buzzer.
Published by: Jakkam Adithya, L. Ushasvi, Y. Santhosh, P. Aaron Joshua
Author: Jakkam Adithya
Paper ID: V7I3-1340
Paper Status: published
Published: June 21, 2021
Freedom of media and politics in India: The truth or a façade?
Free press and media can be defined as tools provided to media organizations which are not controlled or restricted by government censorship in political or ideological matters. The Constitution of India provides freedom to the press so that they can express and criticize the government as well as their actions in a balanced manner. While the exact definition is variable, politics can be generally defined as a component of a nation, structured in a hierarchical order, with a responsibility to govern and ensure the well-being of the citizens. The main objective of the paper is to investigate the relationship between media and politics and the impact they have on each other. In total, 208 people were received and were used for the final analysis and to explore the current socio- political scenario in the country due to the lockdown imposed during April- May, 2021. The sample size satisfies the requirements for the result analysis The random sampling method was used to establish a link between media, politics and the people. The results revealed that there is a strong relationship between media and politics and they favour each other to further their own agenda and to strengthen their popularity and to remain in power and to dominate in the market. The study discovered a new dimension to the issue that even the people of this country are somewhat responsible for the present media crisis and political corruption. The media and the government are setting the trend of working together and are being accused of endorsing political propaganda instead of reporting the truth. The researchers dealt deeper into the reasons as to why the press had to incorporate politics and their agendas to survive and the impact the media has on people in sustaining democracy in a country like India. As this is a conceptual topic, one can find the application of a combination of both primary and secondary data for the study.
Published by: Dr. Jaya Patil, Ashmita Bhagati, Sashya Simha, Oindri Kundu, Manisha Rout
Author: Dr. Jaya Patil
Paper ID: V7I3-1962
Paper Status: published
Published: June 21, 2021
A study to assess the effectiveness of Structured Teaching Programme (STP) on knowledge of high school students regarding drug addiction in selected high schools at selected rural areas
Drug addiction/abuse is a social problem, not in India alone, but the entire world. The use of drugs has its own culture and history, which varies from country to country. The problem of drug abuse is growing at an explosive rate and in just a little, over a decade it has spread its malevolent tentacles to almost every part of the globe surmounting almost all barriers of race, caste, creed, religion, sex, educational status, economic strata, etc. Drug addiction among adolescents has become a global challenge and also an important public health concern and for the past two decades, there has been a dramatic increase in the demand for interventions to address the substance abuse problem. This demand has led to the development of multiple primary, secondary and tertiary substance abuse prevention programs. Material and Method: In this study quasi-experimental two-group pre-test - the post-test design was adopted. The study sample considers the 60 students’ high school regarding drug addiction in selected High schools in selected rural areas. Its shows that the difference between pre-test and post-test overall knowledge score was 28.26%. So the results of the study showed the difference between the pre-test and post-test knowledge scores of the high school students regarding drug addiction were statistically significant and the difference is due to the administration of structured teaching programs to high school students regarding drug addiction. The post-test analysis revealed there is significant association was found with age, monthly income of the family, year of high school study, and source of information regarding drug addiction at p < 0.05, and no association could be found with other demographic variables of high school students. Conclusion: The majority of students awarded with the substance abuse side effect, Treatment, Coping with addiction by structured teaching Programme. The rise in drug use by young adolescents requires special attention from all the adults (and institutions) who work with the young college-going population.
Published by: Krishna Venkatesh Taddapalli, Reman Viththalrao Jungale, Vikrant Ratnakar Kulthe
Author: Krishna Venkatesh Taddapalli
Paper ID: V7I3-1942
Paper Status: published
Published: June 21, 2021
Machine Learning and NLP based System for Medical Data Analytics and Prediction
In the present technical era, healthcare providers generate large amounts of medical data on a day-to-day basis. Produced clinical information is placed away carefully as Electronic Health Record (EHR) as essential information archive of medical clinics. These days Artificial Intelligence (AI) have been developing rapidly in recent years. Particularly, wellbeing data framework can get most advantages from the AI benefits. Specifically, symptom based disease prediction expectation exploration and creation turned out to be progressively mainstream in the medical care area as of late. In the paper, we have proposed a structure to assess the proficiency of applying both Natural Language Processing (NLP) and Machine learning (ML) advances for disease prediction framework. As an example we have interpreted n2c2 heart related disease symptom datasets from DBMI portal. The acquired patient records is in XML format which is parsed and converted to structured format and naive Bayes algorithm is applied for training.
Published by: Pooja S. P., Harshitha H. N., Meghashree M., Navyashree A. M., Merin Meleet
Author: Pooja S. P.
Paper ID: V7I3-1977
Paper Status: published
Published: June 21, 2021
Business process management and its future
For any enterprise operations, it has always been at the heart to optimize its business processes. And with the allure to serve organizations in achieving operational excellence, increasing productivity, or saving costs, there has been growing interest and boom in Business Process Management (BPM). And as there is growth in sophistication and Artificial Intelligence (AI) becomes more cost-efficient, there has been an increasing impact of AI from lower-level functional tasks to the highest levels of enterprise restructuring in BPM. With significant growth in machine learning and AI, we can expect it to have a greater impact on BPM.
Published by: Sanjay Singh Rawat, Chetna Achar
Author: Sanjay Singh Rawat
Paper ID: V7I3-1965
Paper Status: published
Published: June 21, 2021
