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Research Paper

Load rebalancing for distributed file systems in clouds

The key building blocks for cloud computing applications are Distributed File Systems which are based on the Map Reduce programming paradigm. Nodes simultaneously serve computing and storage functions In such file systems. A file is partitioned into a number of chunks allocated in distinct nodes in order so, over the nodes, MapReduce tasks can be performed in parallel. However, failure is the norm in a cloud computing environment. In the system, nodes may be either upgraded, or replaced, or added. Files can also be dynamically created, or deleted, and appended. Our algorithm is compared against a centralized approach in a production system and a competing distributed solution presented in the literature. The results indicate that our proposal is comparable with the existing centralized approach. It also considerably outperforms the prior distributed algorithm in terms of load imbalance factor, movement cost, and algorithmic overhead.

Published by: Harsh Vardhan Pawar, Aditya Sinha, Richa Sharma, S. Babeetha

Author: Harsh Vardhan Pawar

Paper ID: V5I2-1787

Paper Status: published

Published: April 6, 2019

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Research Paper

D2D Smart Billing System

“D2D (Day to Day) Smart Billing System” is developed that abets a person in everyday shopping in malls involving some automation in customarily practiced process. Malls and supermarkets are self-service shops offering a wide variety of food and household products. This system helps the customer in everyday shopping by minimizing the time required and increase the shop productivity. The main objective is to provide a robust techno-savvy trolley with low-cost, high efficiency and easily adaptable system. Each techno-trolley is set up with a Raspberry Pi that is a unique identification device for that trolley. The camera scanner on the trolley will scan the purchased product and display it on LCD that is interfaced to the raspberry pi. The web-based application for trolleys and mobile-based application for baskets are designed to minimize the waiting time in “Queue” at the billing counters. At the billing counter, the confirmation of the total bill is done and the same is forwarded to the admin.

Published by: Pushkar P. Saraf, Arati D. Khanolkar, Akshada S. Pawar, Uddhav B. Ghodake, Snehal J. Salokhe, Dr. G. A. Patil

Author: Pushkar P. Saraf

Paper ID: V5I2-1763

Paper Status: published

Published: April 6, 2019

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Research Paper

Altered particle swarm optimization based attribute selection strategy with improved fuzzy Artificial Neural Network classifier for coronary artery heart disease risk prediction

The application of soft computing in decision support system in disease prediction is one of the emerging interdisciplinary research areas in the field of computer science. Machine learning algorithms plays an important role in risk prediction of diseases. Attribute selection among the dataset is the key factor that influences prediction accuracy. Mathew’s correlation coefficient performance metric is also taken into account. Particle swarm optimization algorithm is altered and applied for performing attribute selection. Improved fuzzy artificial neural network classifier performs the prediction task.

Published by: B. Narasimhan, Dr. A. Malathi

Author: B. Narasimhan

Paper ID: V5I2-1783

Paper Status: published

Published: April 6, 2019

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Research Paper

An exploration of the indian women writers

This work is to analyze the progress of Indian women in the field of writing right from the creation and sense the glitches faced by them. The themes of sexuality and man-woman relationship from the origin till the contemporary authors are discussed which became the theme of writing this paper. But they are found not merely as the raw material and each has engrossed various angles and given inimitable solutions. Their versatile treatment of women's issues reveals their sensitive nature as a woman writer, and this quality affirms their works as an outstanding contribution to Indian literature in English proving their uniqueness.

Published by: Dr. S. Bharathi, G. Vadivelmurugan

Author: Dr. S. Bharathi

Paper ID: V5I2-1544

Paper Status: published

Published: April 6, 2019

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Review Paper

Development of a cabin crew utility application (JEDZENIE)

This project is based on advanced computer software named as “JEDZENIE” provided in the aircraft for user-friendly customer care and crew management. The project will be used as advanced software installed in passenger seat utility screen. This software will be handled by airline crew members. This software includes the home page, login page & admin page. The passenger login with his/her seat no. & select the food that needed & proceed. The time when he/she order the food, the information is passed to the screen that is placed in the front of the cabin crew. So the project helps to reduce the work of cabin crews and easily access to passengers regarding food & other services. This will help to take the function into more advances in this generation and also for upcoming advanced passengers. This project is more useful in the case of physically/mentally challenged customers

Published by: M. R. Ranjith, Vignesh V. Nair

Author: M. R. Ranjith

Paper ID: V5I2-1778

Paper Status: published

Published: April 6, 2019

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Research Paper

Nap detection and alert system using OpenCV

In recent years driver fatigue is one of the major causes of vehicle accidents in the world. A direct way of measuring driver fatigue is measuring the state of the driver i.e. drowsiness. So it is very important to detect the drowsiness of the driver to save life and property. This project is aimed towards developing a prototype of a drowsiness detection system. This system is a real-time system which captures image continuously and measures the state of the eye according to the specified algorithm and gives a warning if required. Though there are several methods for measuring the drowsiness, this approach is completely non-intrusive which does not affect the driver in any way, hence giving the exact condition of the driver. For detection of drowsiness eye aspect ratio value of the eye is considered. So when the closure of eye exceeds a certain amount then the driver is identified to be sleepy. Corrections for drowsiness include both in and out vehicle alarms and its repetition turns the engine off after giving a signal to the vehicles behind. We are also providing security for the owner i.e., if the vehicle is driven by another person and does any kind of suspicious activities then ,not the actual person but the owner will face problems, in order to avoid the problem for the owner, when the engine starts we automatically capture the image of the driver along with date and time without knowledge of the driver. Then he can easily identify the person who is driving and the owner will be saved.

Published by: Bapathu Ramakrishna Reddy, Bitragunta Lakshmi Durga Pratyusha, Chakicherla Bala Sai Vagdevi, Annapureddy Venkata Ajaya Kumar Reddy, Ajay Rahul Hari

Author: Bapathu Ramakrishna Reddy

Paper ID: V5I2-1769

Paper Status: published

Published: April 6, 2019

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