Analysis of ECG signals for detection of sleep apnea
Electrocardiography (ECG) signals are widely used to gauge the health of the human heart, and the resulting time-series signal is often analyzed manually by a medical professional to detect any arrhythmia that the patient may have suffered. Much work has been done to automate the process of analyzing ECG signals, but most of the research involves extensive preprocessing of the ECG data to derive vectorized features and subsequently designing a classifier to discriminate between healthy ECG signals and those indicative of an Arrhythmia. This approach requires knowledge and data on the different types of Arrhythmia for training. Detecting abnormal heartbeats from an electrocardiogram (ECG) signal is an important problem studied extensively and yet is a difficult problem that defies a viable working solution, especially on a mobile platform which requires computationally efficient and yet accurate detection mechanism. However, the heart is a complex organ and there are many different and new types of Arrhythmia that can occur which were not part of the original training set. Thus, it may be more prudent to adopt an anomaly detection approach towards analyzing ECG signals. .We use various algorithms and methods and constructed a code for classifying the arrhythmia based on the variations in the signals and putting up a threshold value for every particular category respectively
Published by: Harshitha Uppala, Ratna Prakash
Author: Harshitha Uppala
Paper ID: V6I2-1250
Paper Status: published
Published: March 18, 2020
Semi Autonomous Firefighting Drone
Most of the time fire occurs in unpredicted locations. It may occur in forest, buildings or in the middle of ocean. This paper talks about the extinguishing of fire using drones, fire accidents could be critical and accessing the situation at an early stage is very important in order to suppress the fire and evacuate the residents, as well as in the recent times forest and bush fires too have become a matter of concern which we face a hard time extinguishing as the fire fighters can’t reach out to first in dense forests. In these cases, aerial robot platforms have advantages because of its ability to access the place that is hard to reach. This paper elaborates ways to develop a firefighting UAV that operates in a Semi-autonomous manner by using Monoammonium-phosphate (NH4H2PO4) payload as the fire extinguishing agent.
Published by: S. Krishna Prasad, A. Karthikeyan, Kiran Tom Gijo, S. Dhanasekaran
Author: S. Krishna Prasad
Paper ID: V6I2-1270
Paper Status: published
Published: March 17, 2020
Impact of employee involvement on organizational performance – A study of Visakhapatnam Steel Plant
The efficiency and effectiveness of processes executed in any organization are dependent on people who execute the same. As per the literature of Managerial Economics, there are Four factors of Production viz., Men, Material, Machinery and Money. The Men play the key character in controlling ad regulating the remaining factors of production in an efficient manner if they are inclined to do so. Hence, it is essential to ensure that, people are in possession of a positive attitude towards their organization, co-workers as well as the management. People with a positive attitude feel satisfied with their job and tend to exhibit a commitment to their work and strive for the fulfillment of organizational Goals and Objectives. Winning the attitude of the employees is not an easy task in the current era owing to the modern scenario of growing interests, increasing technology and Inflation, diminishing the value of money and monthly earnings. Hence, the strategic and scientific Management experts rightly concluded that instead of making the people motivated through Extrinsic benefits. It is quite wise to make them self-motivated by offering Intrinsic benefits. These intrinsic benefits include Freedom to work, provision of Challenging work and an environment where the people are involved in making decisions that exert impact on their work, work environment, and working conditions. Hence, in the modern organizational scenario, it is extremely essential that the management should ensure the involvement of its employees, which makes them self-motivated, satisfied and committed to the organization’s Objectives.
Published by: B. V. S. P. R. Vithal, Dr. Naga Raju Battu
Author: B. V. S. P. R. Vithal
Paper ID: V6I2-1269
Paper Status: published
Published: March 17, 2020
E-Challan Generation using QR code
During the past few years, traffic accidents & breaking traffic rules has increasing day by day. This work aims at implementing a vehicle document check system where information is retrieved from the database by the traffic police using their Smartphone and the physical documents are not needed to be carried along thereby saving time of filling details manually. QR code is the treadmark for a type of matrix barcode, and QR code is developed in 1994 which has become admired outside the automotive industry due to its fast readability and greater storage capacity compared to standard Universal Product Code (UPC) barcodes. OCR is Optical Character Recognition to convert the electrical images into the machine encoded text for many purposes. This work takes an account of QR codes and OCR, at the front end, android application is created with which traffic police can scan the QR code or number plate using QR code scanner or OCR scanner respectively on officer’s phone and all the details about the owner of the vehicle will be shown on the phone and accordingly E-Challan will be generated and sent to the vehicle owner through SMS. Thus, this work is an attempt to highlight the automatic generation of E-Challan using QR codes and OCR.
Published by: Gouri Chavan, Megha Khot, Panchshila Kamble
Author: Gouri Chavan
Paper ID: V6I2-1193
Paper Status: published
Published: March 17, 2020
A real-time autonomous waste-collecting robot
Nowadays, Collecting and segregating waste has become one of the greatest challenging and arduous chore for municipal corporations, all around the globe. To make this tedious job facile, a new concept of the autonomous waste-collecting robot has been taken into consideration for Smart buildings, hospitals, schools, and railway stations. The autonomous waste collector thought is an advancement of traditional waste collectors by levitating it to become smart inculcating sensors and some form of logic. This autonomous collector is a revolutionary idea of application of line following and pick and place robot.IR sensor makes the use of line following robot, the ultrasonic sensor makes the user detect the waste, DC motors are used to collect the waste and RFID used to make the location of the waste to the robot. The advantage of this project is the ability of the robot to separate metallic and non-metallic waste by using a metal detector. This is thereby a fully automated system, making a small contribution towards the theme of Clean India Green India.
Published by: Pratheepkumar V., Prabha K. S., Prabakar K.
Author: Pratheepkumar V.
Paper ID: V6I2-1261
Paper Status: published
Published: March 17, 2020
Statistical analysis of exchange rate of Australian Dollar
The Research Paper contains the data of the Exchange Rate of Australian Dollar from the year 2000 to 2019. The analysis has been done to understand the trend in the Exchange Rate of Australian Dollar using 3 yearly moving average and least square method. It also helps in understanding the future trends in the Exchange Rate of Australian Dollar.
Published by: Anshika Tyagi
Author: Anshika Tyagi
Paper ID: V6I2-1233
Paper Status: published
Published: March 17, 2020
