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Research Paper

Cloud based employee attendance management system using NFC and Face Recognition

For every organization, the attendance process is one of the important aspects to consider employee performance. Yet it is something that should be done swiftly and efficiently, without giving any effort into it. Manual attendance system could be time-consuming and error-prone, and other new system developed could prove to be complex and costly. Hence, the proposed system called as “Cloud-Based Employee Attendance Management System using NFC and Face Recognition” provides several important operations such as captured attendance records using NFC, automatic time calculation, leave and overtime checking, working hour’s evaluation, real-time updated information access, and generating reports. In order to add on to the security of genuine attendance tracking, facial recognition mechanism is embedded, so the system could not be fooled. An online portal is developed for managers to keep track of this process and manage employee attendance easily. The system can be used by any companies from small to medium size to implement cheap and efficient attendance tracking mechanism.

Published by: Ankit Rana, Vipul Pugaokar, Akshay Sawant, Arti Gore

Author: Ankit Rana

Paper ID: V5I2-1606

Paper Status: published

Published: April 2, 2019

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Research Paper

Offline speech recognition on android device based on supervised learning

Offline Android Smartphone Assistant is a virtual personal assistant which is implemented to perform basic functionalities of the smartphone in offline mode with speech commands. The task includes open apps, toggle wi-fi, toggle Bluetooth, call a person, send messages, control brightness, open torch, etc. The key functionality of the Offline Android Smartphone Assistant is the capability of performing each and every task without the use of the internet. The users can interact with the assistant through natural voice commands. Many companies had established several virtual assistants like Google Assistant, Apple’s Siri, Amazon Alexa, etc. However, the virtual assistants established by several companies do not provide many offline functionalities. In this proposal, we provide easy to access every system functionality without using the internet using Speech Recognition. This application will help people in areas where internet connectivity is hardly possible. The application also provides the functionality of a screen overlay. The application uses Natural Language Processing for processing the voice commands and performing the required tasks.

Published by: Reeta Bandhu, Nikhil Kumar Singh, Betawar Shashank Sanjay

Author: Reeta Bandhu

Paper ID: V5I2-1688

Paper Status: published

Published: April 2, 2019

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Technical Notes

Utilization of waste plastic in fly-ash bricks

The main aim of our project is to utilize those plastics and fly ash in the manufacturing of bricks. In this project, plastic bricks were cast with different proportions with quarry dust & fly-ash. The plastic percentage is varied by 5%,10%,15%,20% with the casting of quarry dust and fly-ash was constant. The tests are conducted compressive strength test, water absorption test, and efflorescence test. Here the strength properties of plastic bricks comprising of waste plastics, fly ash as the constituents and the design considerations for pavement block incorporating waste plastic bags is presented. A comparative economy, etc. compression strength test was performed on the plastic brick and its strength was found to be 6.66 N/MM2 which is higher than red clay bricks which have a compressive strength of 3-5 N/mm2.

Published by: Etaveni Madhavi, Darshak Sai Ginjipelli, Kadavaluru Uday kumar, Gachu Shekar, Lavudya Apoorva

Author: Etaveni Madhavi

Paper ID: V5I2-1631

Paper Status: published

Published: April 2, 2019

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Research Paper

Augmentation of information management protection in hybrid clouds

As the growing technology of cloud, tremendous information is generated every day from multiple sources. Information is receiving from the distinct data center as a collaborated service nature of computing technology. Hybrid cloud model will hold the business critical content securely and on-premises control enables the process of consumer grade level alternative solutions. However, there will be a process specific security controls in the content-specific environments, it is important to manage all generic type of information and its sources in hybrid cloud access platform. Hybrid cloud platform deals with the various business insights, which increases the volume of cloud systems. Any private and public users can request for cloud services and use it as a model of on-demand services. It is necessary to monitor and regulate the security systems for controlling access from generating a large amount of data. So, the proposed system will bring the solution for a secured level of information management in a hybrid cloud service model.

Published by: Dr. R. Poorvadevi

Author: Dr. R. Poorvadevi

Paper ID: V5I2-1625

Paper Status: published

Published: April 2, 2019

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Research Paper

Measurement of VO2 in sedentary healthy females: A normative study

To measure normal values of VO2 in sedentary healthy females aged 18-25 years. To know normal values of VO2 in sedentary healthy females aged 18-25 years. 20 healthy females aged 18-25 years were selected as per the inclusion & the exclusion criteria. The study was conducted after taking consent from the subjects, personal details were obtained through performance, instructions about the procedure were given and required materials were used. Normal values of VO2 were measured using power lab machine with the treadmill. VO2 values of healthy females appear lower than those standards reported for females of comparable age, weight, and height in western countries. Current study presented normative data of VO2 in sedentary healthy females aged 18-25 years

Published by: Dr. Aishwarya S. Rangari, Dr. Subrat Samal, Dr. Snehal Samal

Author: Dr. Aishwarya S. Rangari

Paper ID: V5I2-1566

Paper Status: published

Published: April 2, 2019

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Review Paper

Drowsiness detection with driver assistance for accident avoidance based systems

This concept proposes a new approach to automotive safety and security with automatic car system based on autonomous region. We are proposing three concepts that are different but nearly related to tired driver detection system and an external traffic detection system based on intrusion. In recent times, automotive crashes related to fatigue have actually magnified. We have proposed a driver alert system to minimize these issues by observing the driver's eyes and sensing using IR sensor as well as a driver based local environment recognition using ultrasonic sensor.

Published by: Vikas Chauhan, Sanjay Patel, Prudhvi Chowdary, Dharshen R. S., Sai Siva Reddy, A. Mohammed Arif

Author: Vikas Chauhan

Paper ID: V5I2-1696

Paper Status: published

Published: April 2, 2019

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