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Review Paper

Tooling Platform – Future of software forge

Tooling platform is an open-source software forge. Software forge is a web-based collaborative software platform which can be used for both developing and sharing software applications. Different independent projects can be stored and shared using the Tooling platform. It also acts as a place for maintaining the source code developed by the software development team. It also provides the way for version control of the stored source code. Documentation feature provided in the Tooling platform provides easy maintenance of the developed software application. For users, it can also act as a repository of computer applications. Software forges have gained a lot of popularity in recent years. Forging software is proven to be a successful software development model for many software projects. Tooling platform is used for managing source code repositories, bug reports, discussions, wiki pages, blogs for single or any number of individual projects.

Published by: Swathi Nayak

Author: Swathi Nayak

Paper ID: V5I2-1145

Paper Status: published

Published: March 9, 2019

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Research Paper

Machine learning approach for flight delay prediction

In the cutting edge world, aircraft assume an essential job for transporting individuals and products on time. Any deferral in the timings of these flights can unfavorably influence the work, what's more, the business of thousands of individuals at any given minute. Estimating these postponements is essential amid the arranging procedure in business aircraft. A few procedures have just been proposed for outlining models to gauge the deferral in takeoff time of air ship. In our paper, a two-stage predictive model was developed employing supervised machine learning algorithms for the prediction of flights. The first stage of the model performs binary classification to predict the occurrence of flight delays and the second stage does the regression to predict the value of the delay in minutes. Then, each of the algorithms’ prediction accuracy and the receiver operating characteristic (ROC) curve were compared. Furthermore, an application was fabricated utilizing the model which uses highlights that are promptly accessible before the takeoff of a plane furthermore, can educate travelers and aircraft about flight delays in advance, To reduce the monetary losses.

Published by: Neelima Sahu

Author: Neelima Sahu

Paper ID: V5I2-1196

Paper Status: published

Published: March 9, 2019

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Review Paper

Open CV based border security surveillance robot

At present, the surveillance of International border areas is a headache for border guarding forces. The border guarding forces patrolling the border seriously, but it is not possible to monitor the border at each and every moment. Robot becomes an essential requirement of the surveillance when a trespasser enters the restricted area and it report’s nearby board security control unit. The use of robots in the border for surveillance reduces the risk factor of soldiers. The spy robot uses Raspbian operating system with remote monitoring and control algorithm through the Internet of Things (IoT) has been developed which reduces manual error and prevents the entry of unknown persons. The spy robot system comprises of Raspberry Pi (small single-board computer), Pi camera and sensors. PIR sensor detects the living objects and sends information regarding the detection of the living object is sent to the users through the web server and pi camera capture the moving object which gets transferred through mail simultaneously. The user controls the robot with wheel drive control buttons on the webpage. This surveillance system using a spy robot can be modified in different ways for the use in industries, banks, and shopping malls.

Published by: Jeevanantham R., Hemanth Thethan S, Akash K. P., S. Padmavathi

Author: Jeevanantham R.

Paper ID: V5I2-1193

Paper Status: published

Published: March 8, 2019

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Research Paper

A non-intrusive approach for drowsy and drunk driving using computer vision techniques

This paper presents a holistic, non-intrusive approach for drunk and drowsy detection of the driver using computer vision techniques of facial landmark detection and motion detection. The driver's continuous real-time video feed is observed with the help of a smartphone camera. A single scalar quantity, Eye Aspect Ratio (EAR) which characterizes persistent eye blinks continuously analyses this feed. Simultaneously the system checks the body and the head movements using the differential imaging technique, which operates in real-time. A severity score indicating the fitness to drive is generated cumulatively using both methods. The driver is notified with the sound of an alarm if the results are positive based on a threshold value of the severity score.

Published by: Madhu, Khushboo Mishra, Shubham Karki, S. R. Dhore

Author: Madhu

Paper ID: V5I2-1176

Paper Status: published

Published: March 8, 2019

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Research Paper

Importance of healthcare dietitians’ communication skills

The nutritional professional competency and the communication competency together are very important for a dietitian to provide quality nutritional care to the patients. Dietitians provide nutrition counseling to patients and it is very important that Dietitians should master the art of communication. This article stresses the need and importance of possessing good communication skills by dietitians who are an integral part of the patients’ treatment care.

Published by: S. Ramesh, B. Manimegalai, Annie Valsan

Author: S. Ramesh

Paper ID: V5I2-1200

Paper Status: published

Published: March 8, 2019

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Research Paper

Extraction of Neem (Azadirachta Indica) oil using blends of hexane, ethyl acetate and acetone by sonication

Neem oil is a very beneficial oil for human utility in various fields and is commonly extracted by a solvent like hexane and ethanol. This work stresses on investigating the usability of blends of pure solvents while adopting a new technology of sono assisted extraction for the extraction of oil from neem seeds. The prepared blends have been analyzed on the basis of total pressure, bubble point temperature, molecular weight for the different compositions solvents that is to be mixed to form the blends. In this work, it is proposed to use ethyl acetate + acetone, hexane + acetone and hexane + ethyl acetate binary blends with the comparison to unary pure solvents and also recording the solvent recovery in each case after distillation. The reusability of the solvents recovered after the first sets of extraction is also a topic of major concern.

Published by: Priyanuj Bhuyan, Saikat Sen, Vivek Bihari

Author: Priyanuj Bhuyan

Paper ID: V5I2-1204

Paper Status: published

Published: March 8, 2019

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