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Review Paper

Patient health monitoring system

Health is one of the primary capabilities that a human need to go on with his life. That is the main reason the healthcare provided to the human must be bestowed in ample means and effective ways to ensure his health based on health monitoring parameters and the medical assistance being provided directly. The new technological development and its implementation now involve the internet and the sensors often known as the Internet of Things (IoT), which enables the worldwide approach to the health care base system development. This steers to the health system management that in a real-time approach it supplies a set of particulars relevant to the patient being monitored. In all the countries the death rates are becoming high due to the absence of well-timed medical treatments. These can be shut out through standard health care. The paper puts forward an IoT approach for a superior health monitoring system, by involving the sensors where they sense the body temperature plus the heartbeat and tells the doctor or the attending staff of the patient about the state of the patient. The project uses the KNN algorithm to predict the shape and condition of the sufferer to prevent them from going into further bad state. When the bad condition of the patient is predicted and detected by the system, it sends mail to the doctor in the most emergency situation or else in other cases it keeps on updating the sensed values in the web page created. The system also includes a buzzer beeping situation, where the beeping occurs when the nurse has to be notified of the state of the patient. Whereas, the previous systems developed did not do the predicting part, which plays the most important role in taking care of the patient. Thus, the project results in taking the greatest possible measure in helping the patients improve their situation.

Published by: Siva Priya S., Shruthi M. G., Sruthi S.

Author: Siva Priya S.

Paper ID: V5I2-1243

Paper Status: published

Published: March 12, 2019

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Research Paper

The association between Myopia and near work activities in young adults in Durgapur, West Bengal

Myopia is one of the most prevalent refractive error that can be defined as a state in which the eye fails to see distant objects properly. Most of the young adults are affected by myopia in the world due to many factors. A few researchers showed in their research articles that near work activities lead to the progression of myopia. The main objective of this paper is to identify all the main factors of myopia in young adults in the southern region of West Bengal, especially in Durgapur. To meet this objective a sample of 2500 young adults were selected using simple random sampling procedure and examined through Snellen’s Chart and retinoscope and found 575 young adults have been suffering from various grades of myopia. In the next phase, we have identified the relevant factors of near work activities such as types of light used, time spent on near work per day, uses of the cell phone. We have analyzed the data through SPSS 16.0 software and interestingly we found some significant associations among them.

Published by: Atanu Maulik, Dr. Kavita Bhatnagar

Author: Atanu Maulik

Paper ID: V5I2-1251

Paper Status: published

Published: March 12, 2019

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Research Paper

Decentralized secure money transfer using blockchain

A blockchain is just a chain and a list of blocks. Each block, in the blockchain, will have its own digital signature. Each block doesn’t just contain the hash of the block, but its own hash in part, calculated from the previous hash Calculating and comparing the hashes allow us to see if a blockchain is invalid. We create a system that Allows users to create wallets and Provides wallets with public and private keys using Elliptic-Curve cryptography. Secures the transfer of funds, by using a digital signature algorithm to prove ownership and finally allow users to make transaction your blockchain

Published by: Suganya T., Vignesh A., Vignesh Kumar N., Vivin Kumar D.

Author: Suganya T.

Paper ID: V5I2-1234

Paper Status: published

Published: March 12, 2019

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Others

Restaurant management system Android application

The main target of this paper is to conduct a thorough and in-depth analysis of the vast field of Software engineering and at the same time explore the opportunities and the conditions that could lead into building a successful Android app. The simplicity and ease of access to a menu is the main component that facilitates ordering food in a restaurant. A user-friendly menu completely changes the patron’s dining experience. Existing programs provide an app that restaurants can use to enter their menus into Android-based tablets and make it easier for the diners to flip, swipe and tap through the menu. This system is used to provide the restaurants with a tablet menu that would recommend dishes based on a recommendation algorithm which has not been implemented elsewhere. This system uses a cloud-based server for storing the database.

Published by: Sucharita M. Samantaray, Karan Dhoke, Pranay Pawar, Rina Mishra

Author: Sucharita M. Samantaray

Paper ID: V5I2-1229

Paper Status: published

Published: March 12, 2019

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Research Paper

Accident detection system based on Internet of Things (IoT)- Smart helmet

The objective of our smart helmet is to provide the means for detecting and reporting accidents. The working of this smart helmet is very simple; vibration sensors are placed in different places of the helmet where the probability of hitting is more, which are connected to the microcontroller board. When the rider met with an accident and the helmet hits the ground, these sensors sense and gives to the microcontroller board, then controller extracts GPS location using the GPS module that is interfaced to it. When the data exceeds the minimum stress limit then the GSM module automatically sends a message to the registered emergency contacts and the link through which the location and the speed of the victim will be displayed in the mobile application and in the web application.

Published by: Kabilan M., Monish S., Dr. S. Siamala Devi

Author: Kabilan M.

Paper ID: V5I2-1253

Paper Status: published

Published: March 12, 2019

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Review Paper

ATM- Security using machine learning technique in IoT

The idea of designing and implementation of the real-time ATM security project came with the incidents of accessing the ATM by the unauthorized users instead of an authorized user. This project will give access to the user only after identifying the image of the user taken by the CCTV in the ATM and compare the identified image with the image of the user that was stored in the database created during the account creation which comes under the banking session of banks. In some cases the authorized user is not able to use the ATM for some emergency purposes, in such cases, the OTP is sent to the users registered mobile number and the person who came instead of the authorized user have to enter the OTP that the authorized user received. This method will reduce the risk of ATM usage by common people. The face detection and face recognition are done using deep learning techniques and machine learning. The IOT components like Camera, RFID reader, Tag, Relay, Motor were used. The Raspberry pi 3 (2015 version) is used as the main component. Here the open CV is used as the platform and the python language is used for the deep learning techniques and face detection Haar cascade is used for face detection. The face recognition module is done by Local Binary Patterns (LBP) algorithm. And an alert message is sent to the authorized user as a text message if the user is found to be the third party user.

Published by: Udhaya Kumar N., Sri Vasu R., Subash S., Sharmila Rani D.

Author: Udhaya Kumar N.

Paper ID: V5I2-1225

Paper Status: published

Published: March 11, 2019

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