Mobile accelerometer based robot
In this project, we present the controlling of a Robot using BLUETOOTH technique. The robot is controlled by a mobile accelerometer through Android Application. In the course of the Android Application, User can use various commands like forwarding, backward, stop, left, right. These commands are sent from the Android mobile to the Bluetooth receiver. This project is built on the 8051 microcontrollers; this project is housed on a robot base, which moves forward, When the data is received from the Bluetooth to the microcontroller, according to the signal the robot moves that direction. L293D is used to drive the motors. This project uses regulated 5V, 500mA power supply. 7805 three terminal voltage regulator is used for voltage regulation. Full wave bridge rectifier is used to rectify the ac output of the secondary 230/12V step-down transformer.
Published by: Doddala Madhumitha
Author: Doddala Madhumitha
Paper ID: V5I2-1972
Paper Status: published
Published: April 18, 2019
Liver disease prediction using machine learning
Data Mining technologies have been widely used in the process of medical diagnosis and prognosis, extensively. These data mining techniques have been used to analyze a colossal amount of medical data. The steep increase in the rate of obesity and an unhealthy lifestyle eventually reflects the likelihood and the frequent occurrence of liver-related diseases in the mass. In this project, the patient data sets are analyzed for the predictability of the subject to have a liver disease based purely on a widely analyzed classification model. Since there are pre-existing processes to analyze the patient data and the classifier data, the more important facet here is to predict the same the conclusive result with a higher rate of accuracy. There are 5 distinct phases in this process. First, the min-max algorithm is applied to the original liver patient data set that could be collected from the UCI repository. In the second phase, significant attributes are demarcated by the use of PSO feature selection. This helps to bring out the subset of critical data, from the whole normalized datasets of liver patients. After this step, the third phase involves the usage of classification algorithms for comparative analysis and categorization. Accuracy Calculation is the fourth phase. It involves the usage of Root Mean Square value and a Root Error value. The fifth phase is the evaluation phase. Depending on the studies, a simple evaluation process is executed to preserve the integrity of a precise result reflection. J48 algorithm is considered to be a better performing algorithm when it comes to feature selection with an accuracy rate of 95.04%.
Published by: Vasan Durai, Suyan Ramesh, Dinesh Kalthireddy
Author: Vasan Durai
Paper ID: V5I2-1979
Paper Status: published
Published: April 18, 2019
A review on environment risk factor influencing scrub typhus
Scrub typhus is an acute febrile widespread disease in Asia & Pacific islands which causes unspecific symptoms & signs. This is one of the biggest diseases in our country especially in the Terai region and South India for many years. Scrub typhus, a dreaded disease in the pre-antibiotic era, is an important military disease which caused thousands of cases in the Far East during World War. It is a zoonosis and is a widespread disease in Asia and the Pacific Islands. Scrub typhus is an acute febrile illness which generally causes non-specific symptoms and signs. The clinical manifestations of this disease. Deaths are attributable to late presentation, delayed diagnosis, and drug resistance. The public health importance of this disease is underestimated because of difficulties with a clinical diagnosis and lack of laboratory methods in many geographical areas. Scrub typhus is known to occur all over India and physicians should be aware of this potentially serious but easily treatable disease. The aforesaid environmental factors affect the incidence and cause of Scrub typhus drastically as there is a high need to control this disease. So, a survey was conducted regarding this aspect.
Published by: Mohd. Minnatullah, Kamal Nabh Tripathi, Anupam Mehrotra
Author: Mohd. Minnatullah
Paper ID: V5I2-1977
Paper Status: published
Published: April 18, 2019
Phase transfer switch with power factor correction
In the present scenario of three phase application, if low voltage is available in any one of the three phases and needs equipment to work in normal voltage, then the phase contacts must be changed manually. The product developed will solve the problems related to three phase applications. The main aim of this product is to provide an uninterrupted power supply for three-phase loads even in the failure of a phase in a three-phase system. The product is very useful in those industries, factories, home spaces and offices where the continuous supply of electricity is needed. Normally three phase supply if one or two-phase fails, power will not be there in the gadget connected to that particular failed phase(s), to avoid these failures, we bring intelligent three phase changer with Arduino, which shifts power from alive phase to the failed phase(s) instantaneously,thus keeps all the circuits alive.
Published by: Gunjan Pramod Shete, Sadika Shahanawaj Naikwadi, Pradnya Sanjay Kumbhar, Padmaja Jitendra Patil, Pallavi Ashok Tandale
Author: Gunjan Pramod Shete
Paper ID: V5I2-1906
Paper Status: published
Published: April 18, 2019
Application of blockchain in Usage Based Insurance
Usage Based Insurance (UBI) consists of schemes such as Pay As You Drive (PAYD) and Pay How You Drive (PHYD). In this paper, we detail the application of Blockchain in Usage Based Insurance schemes - PAYD and PHYD. Using Blockchain, we propose an effective mechanism to store transaction data and also the condition of the vehicles. We also detail measuring these parameters to calculate premium amounts, create new insurance schemes and also a new market for used vehicle sale.
Published by: Amith Kumar V., Abhiram Prasad, Dr. Rajashekara Murthy S.
Author: Amith Kumar V.
Paper ID: V5I2-1842
Paper Status: published
Published: April 18, 2019
Shopping using NFC
The traditional system currently implemented for shopping at a retail store has been in place for a long time. However, it has its fair share of disadvantages associated with it. It requires the retail store to keep the products to be sold, ready on shelves to be picked up by the customer. This consumes a lot of space which gets overcrowded during sales and other offer periods. In addition to consumption of space, it also takes a lot of time for the cashier to scan the products and generate a bill which results in subsequent delay for other customers waiting in the queue. There is a need to find solutions to these problems and make shopping at a store a convenient option for users. To overcome these problems, we propose to use NFC (Near Field Communications) technology and improve the user’s shopping experience. NFC is a groundbreaking technology that works for short-range communication. NFC tags are available that can magnetically store data. To implement the system NFC tags will be placed in front of every product which can be scanned by the consumer’s mobile that must have NFC enabled. The tag can be placed in front of a sample product or an image depicting the product. The user must be connected to the internet to make use of this application. As soon as the consumer scans the tag all the details about the product will be added in the user’s cart. This will reduce the load on the cashier to scan every product to generate a bill, making the system more efficient and easy to use. There will be an android application for consumers. The store manager/admin will have the responsibility to manage (add/remove) products available for consumers to shop. A store admin can manipulate the data stored in the NFC tag. Admin will have a desktop website at his/her disposal to add information about the products available. Once the consumer registers for the shopping application he/she has to verify their account at admin’s desk. The admin has to add images, details, price, etc. of the product to be viewed by their consumers on their mobile application after the tag is scanned. This system will reduce the workforce required to maintain the products on the shelf. Hence the system will be cost effective and efficient for the store and convenient for the users.
Published by: Mh. Tabrez Shaikh, Krishan Sidhwani, Amit Solanki, Prerit Udasi, Naveen Vaswani
Author: Mh. Tabrez Shaikh
Paper ID: V5I2-1919
Paper Status: published
Published: April 18, 2019
