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Research paper on Eating Disorder – Bulimia and Anorexia Nervosa

Learning about eating disorder may very sensitive have to focus on psychology of human being about there thought process. It classified based on “feeding and eating disorder” in the Diagnostic and Statistical Manual of Mental Disorder(DSM-5), it represent the mental health of person. Anorexia Nervosa and Bulimia Nervosa these are two sort of eating disorders. They may found in 9% to 10% in adult women and 10% to 15% in Men suffer from compulsive-type eating problem.

Published by: Subhada Uddhav Shinde, Sarala Mary

Author: Subhada Uddhav Shinde

Paper ID: V7I3-1842

Paper Status: published

Published: June 14, 2021

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Research Paper

Agriculture field monitoring and analysis using Wireless Sensor Networks

India is largely an agricultural country. Agriculture is the most pivotal occupation for most Indian families. It plays a vital role in the development of India. In India, agricultural income contributes about 16% of total GDP and 10% of total exports. Water is the central resource for Agriculture. Irrigation is one method to supply water, but there will be a lot of water wastage in some cases. IoT technology can help in collecting information about conditions like moisture, temperature, and humidity. Wireless sensor networks are used to monitor the farm conditions and micro-controllers to control and automate the farm processes. DHT-22 sensor is used to measure the temperature and humidity in the field, and a resistive soil moisture sensor module is used to measure the moisture content of the soil. All the sensor relays are interfaced with the ESP32 controller. The sensors collect data from the field and transmit the data to the micro-controller. All the sensor devices are connected to the internet through the ESP module. After successful completion of sense, the data will be processed and stored in serve for future reference. After completing the analysis of the data, the threshold values will be set for controlling purposes. In this implementation, the threshold value is set for the soil moisture value. When the threshold value is met, the solenoid valve is turned on to irrigate the field. The end-user can also turn on the solenoid valve by using the Blynk application.

Published by: Devashish Agarwala, Vanishree K.

Author: Devashish Agarwala

Paper ID: V7I3-1833

Paper Status: published

Published: June 14, 2021

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Research Paper

Artificial intelligence in today’s challenging world

Artificial Intelligence refers to any machine that shows features similar to the human mind just like learning and problem-solving. AI can take actions that have the best chance of solving specific issues in an efficient way. Machine learning is a subset of Artificial Intelligence and refers to the idea of automatically learn and adapt new facts without getting any help from humans. Artificial Intelligence is developing day by day and performing Multitasking and making human work easy and helping humanity in a fast and efficient way and gives better solution for complex problems. This paper will describe how AI is helping today’s world and also see what problem is also creating by AI in today’s world. This paper also describes the AI technologies uses in different areas in today's world. We also discuss how AI is useful in many fields but also damaging our environment and the damage is hard to fix and we also get the humans are the main problem. We have to change ourselves to fix a problem.

Published by: Abhishek Negi, Mohit Semwal

Author: Abhishek Negi

Paper ID: V7I3-1809

Paper Status: published

Published: June 14, 2021

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Research Paper

Remodeling of Aluva bus terminal

The study consists of two parts. The first part was devoted to the preparation of a new plan for the Aluva bus terminal and the second part consists of 3D modeling of the building. The proposed site is at Aluva. It consists of G+ 3 story building. The typical plan of the building is given below. The building is planned according to the requirements of the users by conducting a questionnaire survey. Visits to various construction sites were conducted. These site visits helped me to be aware of the latest construction methods that are adopted and being practiced in the construction industry.

Published by: Balendhu Shaji, Muhammed Nihal V N, Aneena Nizar, Zameel Unus, Bizmi Mol

Author: Balendhu Shaji

Paper ID: V7I3-1807

Paper Status: published

Published: June 14, 2021

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Research Paper

Smart IoT based chicks brooding system

Brooding is the most critical period in the life of a chicken. During brooding period, day old broiler chicks do not have the capability to warm themselves, and if not properly monitored chicks would die because of the change in weather. This would mean a big loss to the poultry farmer or owner. So to be able to address this issue, this study aimed to explore smart sensing during brooding period. This process could help monitor the temperature and humidity of the chicken coop easily during brooding period and notify the farmer immediately. The researcher developed a prototype using DHT22 sensor with Arduino Microcontroller and GSM Module. The prototype was tested and evaluated in terms of reliability. The Brooding is the most crucial period in the life of a broiler chicken. This period is when the systems are still in the development stage and the immune system is still delicate and cannot fight diseases. The feathers are not yet fully grown and the chicks are still learning to eat and drink. Since day old chicks do not still have the capabilities to keep their body warm. They are very in danger to the environmental conditions like temperature and humidity level. It leads to sickness and worst death of if they are exposed to colder temperature.

Published by: Shravan Savagave, Omkar Uday Gavali, Ashutosh Arvind Gaikwad, Arbaz Rajmuhammad Mujawar, Vishwajit Ajit Gaikwad, Arvind M. Bhandare

Author: Shravan Savagave

Paper ID: V7I3-1755

Paper Status: published

Published: June 14, 2021

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Research Paper

Sentiment Analysis of Tweets using Machine Learning

The growth of various social networking sites has enabled people to express their opinions, thoughts, and feelings. Social networking platforms such as Twitter, Facebook, etc. are filled with opinions and thoughts. The enormous data gathered using these platforms can help to analyze the sentiment of people. Sentiment analysis is the method to interpret and classify emotions into categories viz positive, and negative.. Data mining is harnessed to uncover relevant information from web pages. The main emphasis of this research is to classify which machine learning algorithm gives better accuracy. Python language is used to implement the proposed system. Machine learning classifiers such as Naïve Bayes, SVM, and Decision Tree are applied to categorize the tweets as positive or negative.

Published by: Disha C. Kini, Harshali Patil

Author: Disha C. Kini

Paper ID: V7I3-1818

Paper Status: published

Published: June 12, 2021

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