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Motion and Bluetooth controlled office automation cum power saver

The Motion & Bluetooth Controlled Office Automation Cum Power Saver, where the lights in the room will automatically turn on upon detecting a human motion and stay turned on until the person has left the room or there is no motion. Initially, when there is no human movement, the PIR Sensor does not detect any person and its OUT pin stays LOW. When the person enters the room, the change in infrared radiation in the room is detected by the PIR Sensor. The output of the PIR Sensor becomes HIGH. Since the Data OUT of the Sensor is connected to Digital Pin 8 of Arduino, whenever it becomes HIGH, Arduino will activate the relay by making the relay pin LOW as the relay module is an active LOW module. This will turn the Light ON. The light stays turned ON as long as there is movement in front of the sensor. If the person takes a nap or leaves the room, the IR Radiation will become stable (there will be no change) and hence, the Data OUT of the PIR Sensor will become LOW. This, in turn, will make the Arduino turn OFF the relay (make the relay pin HIGH) and the room light will be turned OFF. Along with Motion controlled this system will have control in users hand on Android mobile; the user can turn ON/OFF Load in a single click. The Android application will help the user to monitor the current status of Motion Sensor as well as to update new Delay Time to keep the load on even there is no Motion. By using the Android application it will be possible for the user to say after what time the system will shut down the load. The system will start buzzing if time to Shut Down the load is less than 30 Sec.

Published by: Sagar W. Warade, Sagar V. Kharche, Swapnil V. Phirke, Amit S. Wale, Umesh S. Khachane, Amarjeet R. Ram

Author: Sagar W. Warade

Paper ID: V5I2-1834

Paper Status: published

Published: April 10, 2019

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Research Paper

Analysing current online health services and proposing a model for health consultancy for baby care

In this paper, we are going to analyse the current online health services provided by the government and our major focus will be in the field of baby healthcare. Baby care is one of the toughest jobs in life. Caring for a newborn in itself is a challenge. There are various things which need to be kept in mind for the good health of the baby. Our idea is to propose a model of “health consultancy for Baby Care”. The model is an online medical consultancy service which will keep the parents of the newborn baby well informed about the various aspects which should be kept in mind during the baby care. Baby health is a very important aspect when it comes to a healthy society. A healthy baby in the initial stages of life is essential because this will make the baby grow into a healthy human being in the future. So this proposal is an effort from us to enlighten the people with some important techniques which can be helpful for them to take care of their babies.

Published by: Suyash Gupta, Akash Deep Saha, Anand Prem Rajan

Author: Suyash Gupta

Paper ID: V5I2-1827

Paper Status: published

Published: April 10, 2019

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Research Paper

Correlation between shoulder performance and scapular muscle strength among college students

Shoulder girdle motion is complex and involves a synchronous movement of the scapula and humerus. The scapula serves as the platform for humeral motion. Shoulder injuries are common in the course of the student population. A decrease in shoulder strength plays an important role in the decrease in scapular muscle strength. The hand does not function as an independent factor, but it also depends on the proximal joint stability. Therefore the focus of the study is to correlate shoulder performance and scapular muscle strength among college students. 55 college students with the age group of 18-25 years, both male and female were analyzed. Shoulder performance was assessed by using Closed Kinetic Chain Upper Extremity Stability Test (CKCUEST) and scapular muscle strength was assessed by using push-pull dynamometer. Statistical analysis was done by using Karl Pearson’s correlation coefficient test with p<0.05. There was a statistically significant correlation between shoulder performance and scapular muscle strength among college students.

Published by: Priya S., Abhilash P. V., Sujina K.

Author: Priya S.

Paper ID: V5I2-1826

Paper Status: published

Published: April 10, 2019

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Research Paper

Mitigation of voltage sag/swell using dynamic voltage restorer

In this paper complete design procedure of the DVR is described. Among the power quality problems sag/swell are occur both on the transmission and distribution side. These power quality problems are solve by the DVR. DVR is the series connected device to compensate the voltage sags and swells on the distribution side. Here the detection of voltage sag and swell is carried out by the SRF theory, where as the control of the voltage injected by DVR is done by the SPWM technique. IGBT based full bridge voltage source inverter fed by the constant DC voltage source is used to convert the DC voltage to AC voltage at desired voltage and desired frequency.

Published by: Kalpeshkumar Babubhai Patel

Author: Kalpeshkumar Babubhai Patel

Paper ID: V5I2-1824

Paper Status: published

Published: April 10, 2019

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Review Paper

Enhanced fingerprint recognition and OTP to improve ATM Security

In the previous few years’ robberies of ATM is increasing and becoming a problem for Banks. In the current system, we operating ATM using a PIN number which can be stolen or guessed and can be hacked during the transaction. That raises a question on the present security and demands something new in the system which can provide the second level of security. So for that in this paper, there is added some extra security to the current ATM Systems. We use the fingerprint system and One Time Password (OTP) which is sent to the user registration mobile number through GSM Module system. After that, the user will be able to complete the transaction securely. The working of this ATM machine is when the customer places his finger on the fingerprint module when access it automatically generates different 4-digit code as a message every time to the mobile of the authorized customer through GSM modem which is connected to the microcontroller [1]. The code received by the customer should be entered by pressing the keys on the keypad provided. This proposal will go a long way to resolve the problem of bank account safety and transaction.

Published by: Shivam Kumar Rajput, Aniket R. Patne, Amit Varma, Girish Vishe

Author: Shivam Kumar Rajput

Paper ID: V5I2-1815

Paper Status: published

Published: April 10, 2019

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Research Paper

Prediction of Pneumonia using deep learning

The project is to classify pneumonia by processing the image of chest X-ray using diverse deep learning algorithms. For classification purpose, we have to develop an algorithm which can most accurately predict on a validation set of chest X-rays. Deep learning is very helpful in automatically discovering chest diseases at the experts level, providing the two Liberian radiologists with some respite and used for saving countless lives potentially worldwide. The problem is solved using Convolution neural networks[9]. Convoluted neural networks are used to classify where each neuron is tightly connected to other neurons. Inception network was used in the development of CNN classifiers. Inception network was heavily engineered. It used a lot of tricks to improve performance in terms of speed and accuracy. With much more robust and large dataset our project can intervene in all domains.

Published by: A. Raghavendra Reddy, G. Sai Ravi Teja, D. Sai Tej, P. Vinod Babu

Author: A. Raghavendra Reddy

Paper ID: V5I2-1546

Paper Status: published

Published: April 10, 2019

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