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Review – IoT used for health monitoring

The day-by-day development of the Internet of Things causes a revolution in modern technology, which makes our life easier and automated. Due to a busy schedule and irregular lifestyle, health hazard is not an age-dependent factor in the recent era. Under these circumstances, Internet of Things has provided a much easier solution for remote real-time health monitoring of patients from the hospital as well as home. One such healthcare application is to monitor the patient health status Internet of Things makes medical equipment more efficient by allowing real-time monitoring of patient health, in which sensor acquire data of patient's and reduces the human error. The significant challenges in the implementation of the Internet of Things for healthcare applications are monitoring all patient’s from various places. Thus Internet of Things in the medical field brings out the solution for effective patient monitoring at a reduced cost. The purposed work will explain the concept of monitoring of patients health using a microcontroller and different sensors and the reports are accessible through the mobile application.

Published by: Devyani Mashale, Dr. Rupali J. Shelke

Author: Devyani Mashale

Paper ID: V5I2-1327

Paper Status: published

Published: March 18, 2019

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Thesis

An arduino based intelligent shopping system-mechatronics approach

Internet of Things (IoT): Let devices and physical objects connect each other by their sensing, communicating and processing capabilities. This paper develops an intelligent shopping using the shopping cart system to provide IoT service in a hypermarket. The major instances are difficulty in finding the specified products and standing in a big queue in the billing section. This really takes a long time and creates customer un-satisfaction to the owner. Each cart is provided with an RFID based smart shopping system with an IoT enabled technology. It proposes the quick pathfinding schemes which help the customer to find the location of the product. The main facility that the proposed model provides the customer only needs to carry an RFID smart card. It also provides a centralized and automated billing system using RFID technology. The whole information will be sent to IoT cloud server through a GSM module. If the product is purchased the number of product availability is low. The IoT cloud server alerts the seller through SMS. The system facilitates faster billing and standing in a queue reduces the average time required for shopping.

Published by: Dr. J. Krishnakumar, A. Aruljothi, M. Pavadharani, A. Saraswathi

Author: Dr. J. Krishnakumar

Paper ID: V5I2-1334

Paper Status: published

Published: March 18, 2019

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Research Paper

Digital image steganography using LSB and pseudo-random technique

This paper purposed an image based steganography that uses the Least Significant Bits (LSB) techniques and pseudo-random encoding technique on images to enhance the security of the communication. In the L-SB approach, the fundamental thought is to replace the Least Significant Bits (LSB) of the cover picture with the Bits of the messages to be covered up without pulverizing the property of the cover image significantly. The LSB-based method is the most difficult one as it is hard to separate between the cover-object and stego-object if few LSB bits of the cover are replaced. In Pseudo-Random technique, an arbitrary key is utilized as a seed for the Pseudo-Random Number Generator is required in the inserting procedure. Both the systems utilized a stego-key while installing messages inside the cover picture. By utilizing the key, the chance of getting attacked by the attacker is reduced.

Published by: Naveen Kalia, Manit Kapoor, Dr. Naveen Dhillon

Author: Naveen Kalia

Paper ID: V5I2-1351

Paper Status: published

Published: March 18, 2019

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Research Paper

Bio-medical texture characterization using DOST

We present a new efficient approach for detecting tumor of cancer in the human body based on a recently published discrete orthonormal space-frequency transform known as the DOST. We develop a frequency-domain implementation of the DOST in two dimensions for the case of dyadic frequency sampling. This manual detection may have chances of false detection. So a computerized method for cancer detection is needed. A feature selection algorithm based on statistical two-sample t-test method is used for the selection of significant coefficients from the high dimensional DOST(Discrete Orthonormal Stockwell Transform) coefficients. The selected significant coefficients are used as features for the classification of human body tumor as benign or malignant.

Published by: Sravani Palika, K. S. N. Sarat Chandra, K. Lavanya, S. A. Bhavani

Author: Sravani Palika

Paper ID: V5I2-1350

Paper Status: published

Published: March 18, 2019

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Research Paper

Design of semi-autonomous vehicle

A web-controlled and partially autonomous vehicle system is presented in this paper. It highlights the idea to develop a remote-controlled car which can be driven from anywhere using the Internet over a secured server. This car will also have automation features like obstacle avoidance system and lane detection system so that it can drive itself safely in case of connectivity failure. The main goal here is to minimize the risk of human life and ensure the highest safety during driving. At the same time, the car will assure comfort and convenience to the controller. A miniature car including the above features has been developed which showed optimum performance in a simulated environment.

Published by: Ajith Narayanan K., Monish V., Pavalan E., L. Ashok Kumar

Author: Ajith Narayanan K.

Paper ID: V5I2-1293

Paper Status: published

Published: March 18, 2019

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Research Paper

Face attendance

Educational institutions’ administrators in our country and the whole world are concerned about the regularity of student attendance. Student overall academic performance is affected by it. The conventional method of taking attendance by calling names or signing on paper is very time consuming, and hence inefficient. The system is made up of a camera which takes the photos of individuals and a computer unit which performs face detection (locating faces from the image removing the background information) and face recognition (identifying the persons) First, face images are acquired using a webcam to create the database. Face recognition system will detect the location of the face in the image and will extract the features from the detected faces.

Published by: Pankaj Phanse, Aditya Nitin Tilekar, Pranav Aminbhavi, Pooja Dherange, Snehal Rokade

Author: Pankaj Phanse

Paper ID: V5I2-1288

Paper Status: published

Published: March 18, 2019

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