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Technical Notes

Alcohol detection system for bike using Arduino and RF

On a survey that has been done recently, said that nearly 70% of road accidents occur due to Drunk & drive, with a range of 44% to 67% in small cities. The government has made rules that rider should compulsory wear the helmet and not consume alcohol while drving. Still the riders do not obey the rules even though huge number of fines have been imposed. Not wearing the helmet causes the rider with severe injuries which may lead to death of the rider. In order to overcome this,Smart helmet and detection of alcohol present in rider’s breath is proposed. This paper attempts to explore the possibility of using the technology that would detect the level of alcohol in the blood and prevent “very-start” of the motor vehicle. The model device focused at preventing the user from driving when drunk and reduces the number of accidents occurring due to drunken driving. The model is created using Arduino Uno and Alcohol detecting sensor. The alcohol detecting sensor (MQ-3) when connected to an Arduino UNO R3 detects the level of alcohol content in blood by analyzing driver’s breath. A user friendly device that uses a non-contact breath sensor to detect breath-based alcohol. The device’s sensor sens saturated water vapor in human breath, and three semiconductor gas sensors detect ethanol, acetaldehyde, and hydrogen. The device can check whether the gas introduced into it is human breath and the alcohol level at the same time.

Published by: Meet Jitendra Raut, Sugam Mahesh Chaudhari, Aditya Anil Raut, Reshma Chaudhari

Author: Meet Jitendra Raut

Paper ID: V6I3-1562

Paper Status: published

Published: June 20, 2020

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Case Study

Classify radio signals from space

The data we are going to use consists of 2D spectrograms of deep space radio signals collected by the Allen Telescope Array at the SETI Institute. We will treat the spectrograms as images to train an image classification model to classify the signals into one of four classes. By the end of the project, you will have built and trained a convolutional neural network from scratch using Keras to classify signals from space.

Published by: Tarit Sengupta

Author: Tarit Sengupta

Paper ID: V6I3-1559

Paper Status: published

Published: June 20, 2020

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Dissertations

An exploratory study to assess the perceptions of preconception care among undergraduate girls with a view to develop information booklet in selected colleges of district Sirmour (Himachal Pradesh)

Preconception care recognizes that many adolescent girls and young women will be thrust into motherhood without the knowledge, skills, or support they need. Objectives: The study aimed to determine the level of perception among undergraduate girls regarding preconception care. Method: Exploratory research design was adopted to collect data from 288 undergraduate girls of the selected colleges of District Sirmour (H.P) using the multistage sampling technique. Data were collected by a self-administered questionnaire using 5 points Likert scale. Results: The present study findings showed that 37.2% of undergraduate girls had favorable perceptions regarding preconception care, 62.8% of undergraduate girls had moderately favorable perceptions (neither positive nor negative) regarding preconception care and none of them (0%) had unfavorable perceptions regarding preconception care. There was a significant association of age with the perception of undergraduate girls at the level of significance p<0.05.Conclusion: The results of the present study reveal that there is a lack of awareness regarding preconception care. Hence student’s perceptions regarding its benefits are not favorable. So there is a need to shift the care at the earliest to prevent further complications during pregnancy.

Published by: Nindiya Parmar, Anna Bajaj

Author: Nindiya Parmar

Paper ID: V6I3-1547

Paper Status: published

Published: June 20, 2020

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Research Paper

Effect of the regularization parameter on image-guided filter

The guided filter is derived from a local linear model. It computes the filtering output by considering the content of a guidance image (self-image or reference image). The guided filter can be used as an edge-preserving smoothing operator that behaves better near edges. It can transfer the structures of the guidance image to the filtering output, enabling new filtering applications like dehazing and guided feathering. Moreover, the guided filter naturally has a fast and non-approximate linear time algorithm, regardless of the kernel size and the intensity range. Regularization parameter (ϵ) is one of the two important factors which determines the characteristics of the guided image applied to the input image i.e. it helps to perceive the degree of the edges of an image. In this paper, we will observe the effect of the regularization parameter on a guided filtered image.

Published by: Eisita Basak, Sangita Roy, Dr. Saradindu Panda

Author: Eisita Basak

Paper ID: V6I3-1539

Paper Status: published

Published: June 20, 2020

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Research Paper

Privacy policies of health care companies

The need for and importance of privacy policies across the healthcare continuum is based on the basic and fundamental human rights. International laws and regulations are linked to the physician’s oath of confidentiality and secrecy. The general medical council provides formwork for healthcare to design the privacy policy to protect confidentiality. Various fields across healthcare continue like a chronic disease which might make a patient terminally ill for e.g. Human immune deficiency virus (HIV), types of cancers make patients vulnerable and depressed to a great dept. Humans are social animals and are psychologically affected by treatment. Studies are shown that the placebo effect at patients who are terminally ill has given them a chance to be more psychologically fir and healthier. The second example is international surrogacy laws, confidentiality, and privacy policies are of utmost legal importance determining the paternity of the child. Confidentiality and privacy policies are made and communicated to all stakeholders including staff and patients to ensure correct implementation and full protection of patient’s data. According to the federal of the country, every organization needs to maintain privacy in policies. In an age where technology is overpowering the healthcare industry and cybersecurity threat is always looming above the head, there is a need to develop and implement more stringent privacy policies. Confidentiality and privacy policies must be communicated to the end-users so as to ensure their consent for the treatment and to boost their confidence, their data, and their treatment. These data must remain confidential at all costs. Confidentiality must be maintained while it is processing. The data processing involves creating, storing, and sharing.

Published by: Akshay Mittal

Author: Akshay Mittal

Paper ID: V6I3-1553

Paper Status: published

Published: June 18, 2020

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Research Paper

IoT based air and sound pollution monitoring system

The transportation sector is the major contributor to increasing air pollution levels in major cities in India. Various authorities like Road and Transportation Office monitor emission levels. This paper states how using various sensors we can measure emission levels. The data collected is compared to the standards. If it doesn’t meet the standards, the vehicle owner receives an alert and the data is also sent to the RTO for further actions to be taken if needed. Thus monitoring the exhaust for presence and levels of harmful gases emitted, pollution levels can significantly be reduced.

Published by: Vidyashree S., Shalini S. V., Shilpa M. Udikeri, Shreyas K. R.

Author: Vidyashree S.

Paper ID: V6I3-1556

Paper Status: published

Published: June 18, 2020

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