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Review Paper

Old age people problem’s and their importance in everyone’s life

The old people population is huge and becoming issue day by day because of human health issues. These individuals are challenged with various physical, mental and social changes that challenge their feeling of self and ability to live joyfully. Numerous individuals experience isolations and sorrow in seniority, either because of living alone or because of the absence of close family ties and diminished associations with their way of life of the source, which results in a failure to effectively take an interest in the public works. With progressing age, it is unavoidable that individuals lose association with their companionship systems and that they th ink that it is progressively hard to start new bonds and to have a place with new systems. The present examination was led to explore the connections among dejection, depression and friendliness in older individuals.

Published by: Anjali Kumari, Tanvi Nagrale, Tripti Pragyan Mohapatra, Anand Prem Rajan

Author: Anjali Kumari

Paper ID: V5I2-1786

Paper Status: published

Published: April 6, 2019

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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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