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Calmify: Novel Way to Monitor the Mental Health using IoT

Emotional and mental health is important as it encompasses our psychological, emotional and social wellbeing. It plays a vital role in the health of our relationships, allowing us to adapt to changes in life and deal with adversity. The Covid-19 pandemic has had a major impact on our lives. Many of us are facing challenges that can be stressful, overwhelming and cause strong emotions in adults and children. One in four people in the world will be affected by mental or neurological disorders at some point in their lives. Around 450 million people currently suffer from such conditions, placing mental disorders among the leading causes of ill-health and disability worldwide. Considering this as quintessential and need of the hour, I have developed Calmify a full mental wellness Tech package to help and discover ways to take a healthy approach to your emotional wellness. It includes a mobile application along with a novel and innovative Mental Wellness Smart Glove, which will surely help people to cope with stress in a healthy way. IoT technologies have a great potential in mental health for diagnoses, treatment, and care due to the increased ability to collect real-time data indicating patterns of activity and behaviour of people. On that note, I developed Calmify as an IoT-based BioMedical Embedded System that aims to provide a mental health solution that is efficient, cost-effective, feasible, easy to use and most importantly affordable for everyone. The smart glove is a wearable device that can monitor the mental wellbeing of the patient and provide ML predictions on the onset of serious mental health issues using psychophysiological signals obtained from unobtrusive smart sensors embedded in the glove which can be carried during daily life routines of individuals. Overall, it will be helpful in providing proactive healthcare to the patients.

Published by: Harmanjot Singh

Author: Harmanjot Singh

Paper ID: V7I4-1267

Paper Status: published

Published: July 12, 2021

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Research Paper

Comparison of readiness for the practice among Bacculerate and Diplomate Pregraduate Nurses – Are there any differences?

Nursing Education in India is undergoing a major transition in inorder to improve the standards across. Graduate Nurses' transition from educational program to clinical practice is a global concern. They often feel insecure, inadequately prepared and it’s a time of reality shock. Diplomate and Bacculerate programs are the two entry-level courses in Nursing in India. There is documented evidence on the differences between diploma and degree nurses in terms of professional competence. However, readiness for the practice among pregraduate nursing students is less explored in the Indian context. This article will reveal the differences in readiness for the practice among Bacculerate and Pregraduate nurses in the South Indian setting.

Published by: Dinesh Kumar Suganandam, Vinitha Ravindran, Vathsala Sadan

Author: Dinesh Kumar Suganandam

Paper ID: V7I4-1266

Paper Status: published

Published: July 12, 2021

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Research Paper

Performance evaluation of GMM super-pixel model-based technique with various bleeding detection techniques in WCE images

Wireless Capsule Endoscopy (WCE) is a non-invasive medical process that permits the assessment of the whole gastrointestinal tract that includes small intestine parts ahead of the conventional endoscope scope. This in turn needs the approach of a computer-aided scheme to assess the video frames for reducing the time of diagnosis. In this approach, the performance comparison on various existing techniques like color-based feature extraction, histogram-based approach, Discrete Wavelet Transform (DWT), K-nearest neighbor (KNN), K-means, and Support Vector Machine (SVM) techniques employed in the detection of bleeding to that of the proposed Gaussian Mixture Model (GMM) super-pixel model has been carried out. The study is carried out in terms of feature extraction models used so far and the classification approaches employed so far. Then the experimental study is carried out in terms of existing techniques and the performance is compared with GMM super-pixel feature extraction model and linear SVM to prove the effectiveness of the super-pixel-based model for bleeding detection. From the experimental analysis, the GMM super-pixel model is concluded better for automated bleeding detection.

Published by: Rathnamala S., Dr. S. Jenicka

Author: Rathnamala S.

Paper ID: V7I4-1256

Paper Status: published

Published: July 12, 2021

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Research Paper

Weed detection using Machine Learning

Agriculture is one of the world's oldest sources of human nourishment. To satisfy the strain of an ever-increasing population, agricultural output must be greatly enhanced. People employed natural techniques to enhance production within the past, like utilising garbage as a fertiliser within the fields, which increased output sufficiently to fulfil the population's needs. Following this epoch, the utilization of lethal chemicals like herbicides skyrocketed. As a result, we've got made extra money while also causing greater environmental damage. the most important goal of this research is to use image processing to detect and take away weeds.So, in this project, we've created a way to decrease herbicide consumption by only spraying them where weeds are present. Using image processing, we were able to locate weeds in the site photos and classify them based on their area and aspect ratio.

Published by: Anupuri Sai Priya, Nadimpalli Lavanya, Pallavi K., G. Nithyasree, Santhosh Reddy P.

Author: Anupuri Sai Priya

Paper ID: V7I4-1255

Paper Status: published

Published: July 12, 2021

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Research Paper

Multifunctional agricultural machine

In our day-to-day life lot of traditional process have become automated because of automation of process activities are becoming more economic less labor intensive and most of all less time-consuming so, is the process in agriculture. Automation has been well integrated in various industries. In recent times agriculture an essential and traditional process has been automate which resulted in greater quality as well as quantity of crops and as quality of the product risen in a great amount so is the demand for them in modern consumers. The modern consumers demand organic products which are only possible by the use of organic crops created at farms. This demand will be ever-lasting and grow day by day as the number of consumers keeps steadily increasing because of rapidly increasing population also due to application of automation in agriculture it has brought great comfort to the farmers working on field whom have picked it up and successfully keep up it however automation of agriculture has only been picked up by big companies’ reason being they have the capital ensure the installation and smooth running of automation equipment in agriculture a normal farmer is not able to achieve such a great quality of product and compete against these big companies. If the automation process becomes at a reasonable price where a normal farmer can afford it and have a great product with consistent quality and even greater consumer demand. We are in this project using simple mechanics in order to make the cost of components cheap, affordable and easily replaceable for assembling prototype of a simple semi-automatic device at a reasonable price device for the average farmer. Using technologies such as advance technologies to do the same amount of work quicker and better.

Published by: Harsh Yadav, Siddharth Yadav, Sagar Kanadiya, Himanshu Singh, Vishal Kandalgaonkar

Author: Harsh Yadav

Paper ID: V7I4-1252

Paper Status: published

Published: July 12, 2021

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Research Paper

Determination of Dynamic PCU values at the signalized intersection for mixed traffic conditions

Traffic conditions in India and many of the developing countries differ from the western country mainly in the composition and lane discipline. Under such conditions, vehicles widely varying in their size, accelerating abilities, and performance capabilities are to share same lanes of the road, which is highly heterogeneous in nature. Especially at signalized intersections. Hence, Passenger Car Unit (PCU) values of several vehicles do not remain static. Recent research works show that the PCU of any type of vehicle can be different at different traffic composition and volume level which points towards the importance of the concept of dynamic PCU. Different methods are used for estimation of PCU by some researchers on signalised intersection under mixed traffic conditions. Objective of the present study is to estimate dynamic PCU values of different vehicle categories at signalised intersection under mixed traffic conditions by Area Occupancy Method. Effect of traffic characteristics on the dynamic PCU value is also analysed. With the use of estimated dynamic PCU by Area occupancy method, mathematical model is developed for estimation of dynamic PCU using regression technique. From the study it was observed that with the increase in vehicle composition dynamic PCU value also increased and the increase in lane width, dynamic PCU value of two wheelers decreased. The lane width and dynamic PCU values of two wheelers is found to have a negative correlation. Mathematical model was developed for the estimation of dynamic PCU of various categories of vehicles using regression by in cooperating the effect of traffic composition and lane width and cycle time.

Published by: Safna Salam, Ayesha Shiraz, Muhammed Asifsha, Suhail A. Shahul, Shifana U. N.

Author: Safna Salam

Paper ID: V7I4-1250

Paper Status: published

Published: July 12, 2021

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