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Review Paper

Study on effect of rice husk ash (pozzolanic and green supplementary material) on concrete

Rice Husk Ash (RHA) is a highly reactive Pozzolanic material that can be used for replacement of cement at various percentages. The Rice milling industry generates a huge amount of rice husk during milling of paddy which comes from the agricultural field. This rice husk can be used as supplementary cementing material with Ordinary Portland cement. The main aim of this review paper is to show the modified properties of concrete made from the addition of RHA in different percentages. The effects of RHA on concrete properties such that compressive strength, workability, tensile strength shall be investigated.

Published by: Bhupendra Kumar, Pooja Semwal

Author: Bhupendra Kumar

Paper ID: V5I2-1191

Paper Status: published

Published: March 9, 2019

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Research Paper

Importance of good nutrition during hospitalization

Good nutrition is deemed mandatory during hospitalization to prevent patients from vulnerable infections, enabling speedy recovery, fast wound healing and avoid frequent hospital readmissions. Clinical dietitian in a healthcare setup is the right person to ensure that patients are getting enough nutrition. Dietitians discuss and find out the nutritional status of the patient and provide support during the course of hospitalization as well as provide a nutritional plan to be followed at home at the time of discharge.

Published by: B. Manimegalai, S. Ramesh

Author: B. Manimegalai

Paper ID: V5I2-1218

Paper Status: published

Published: March 9, 2019

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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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