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Research Paper

Applications of Operations Research in theme parks

The growth of Theme Parks and their impact on the Indian Economy have attracted considerable attention in recent years. Theme parks represent major development in contemporary leisure and recreation. In this research paper, a review of the application of operations research methods in the theme park industry is provided. The operation efficiency of theme park attractions using the data envelopment analysis, The installation area, installation cost, and annual repair cost are set as input factors and the number of annual users and customer satisfaction as output factors. The results show that the roller coaster-type attractions were less efficient than other types of attractions while rotating-type attractions were relatively more efficient. However, an importance performance analysis on individual attraction’s efficiency and satisfaction showed that operational efficiency should not be the sole consideration in attraction installation. In addition, the projection points for input factors for efficient use of attractions and the appropriate reference set for benchmarking are provided as guideline for attraction efficiency management.

Published by: Ankita Lad, Arihant Bhuyan, Chahat Chopra , Deekshaa Padhi

Author: Ankita Lad

Paper ID: V6I3-1394

Paper Status: published

Published: June 6, 2020

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Research Paper

Accident alert system using IoT

In order to identify vehicle accidents and send the accident location information to the vehicle owner, the nearest hospital and a police station through a web service, an IoT-based accident and rescue information system has been developed. The contact between the Web server and the hardware system is made via GSM / GPRS, with a GPS shield. Vibration sensors, keypad and buzzer are used to identify the incident. The project is built to collect data in real time using a web application, Android mobile app or SMS for the hardware computer. This project ensures the correct identification of the accident site in the nearest police station and hospitals and sends a notice.

Published by: Akash Kumar Gupta, D. Sunilkumar, P. Prathima, V. Prashanth, Ch. Phani Sainadh

Author: Akash Kumar Gupta

Paper ID: V6I3-1406

Paper Status: published

Published: June 6, 2020

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Research Paper

Chatbot enabled college management system

In a world of growing technology,to know more details about the college,either visiting the campus or checking out the college websites that provide information about the college seems to be time consuming and boring.This traditional way can be eradicated by introducing a college chat bot for efficiently answering any queries of the user.It also provides a more comfortable interface as though the user is talking to a real human.In this paper we have come up with an idea to build a chat bot using Google Dialogflow to answer any queries related to college.

Published by: Najma E. S., Priyanka Prabhuraj Inamati, Maddipatla Sowmya, Sai Charan J., Nayana D. V., Mamatha K.

Author: Najma E. S.

Paper ID: V6I3-1399

Paper Status: published

Published: June 6, 2020

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Review Paper

Flexible pavements deterioration and solutions

Pavement scepticism is characterized as regards retreating serviceability bring with reference to by the development of breaks and grooves. Prior to going into the maintenance methodologies, one should consider the reasons for disenchantment of bituminous asphalts. Disenchantment of bituminous asphalts is brought on for the reason that of many reasons including mix of reasons. Use of moderation in progress surface will improve the life of maintain acts and in adding that of refreshing layer. The papers present an image of instruction learnt from asphalt disillusionment and issues practiced among recent couple of years on different tasks in Nation of India. Taking into consideration the report the past encounters unusual asphalt fortification methods and procedures are equally converse about which will be productive in expanding the practical subsistence of asphalt. This accountability and responsibility manages the asphalt decay and its causes. Keywords: Corrosion, Pavement, Rigid pavement, Layer, Bituminous.

Published by: Sameer Shakeel Khan, Faraz Khan

Author: Sameer Shakeel Khan

Paper ID: V6I3-1357

Paper Status: published

Published: June 5, 2020

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Research Paper

Design and analysis of helical spring profiles in an electric vehicle suspension system using finite element method

Automobile suspension plays an important role in vehicle safety, passenger comfort and safety. During a mechanical deformation/vibration the suspension would absorb most of the energy (mechanical vibrations) and would ensure safety and comfort, most of the kinetic energy would be dissipated as Vertical motion in the vehicle. In this research paper a helical spring related to an electronic vehicle system with two different profiles under the effect of a uniform load have been studied. A model is created for an electric vehicle helical coil spring with modified profiles of the helical spring as circular and triangular fillet by using modelling software Solid works 2017. This research paper deals with the detailed analysis of the suspension system by using ANSYS workbench 18.1 simulation software. Using the Finite element approach, results are compared on the basis of Static Structure analysis. In addition, the results for the various spring profiles are compared.

Published by: Arko Banerjee

Author: Arko Banerjee

Paper ID: V6I3-1423

Paper Status: published

Published: June 3, 2020

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Research Paper

Smart E-commerce hub for real estate web application

Real estate is known as one of the most important sectors of the economy, hence Machine Learning Techniques outperforms a real estate professional when it comes to conducting demographic market research, environmental and financial analysis such as price predictions and loan approvals. The main objective of this paper is to find the best model to predict the prices and loan approvals and apply them to develop a smart E-Commerce application where users can search and inquire about a property, post their property Ads and can use the smart feature to predict the eligibility for their loan approvals using Machine Learning Model. The first thing that we have taken into account is the dataset of the apartment prices and different representative cases of loan applications. The dataset was pre-processed and tuned up for real analysis. Hence, our paper will also focus on data preprocessing of the raw dataset. Secondly after processing the data, we will review the use of Neural Network and Random Forest and the outcome that it generates. In addition, the proposed paper examines the use of the prediction system in real world settings applied into the smart real estate web application. The successful predictions made by the models will be a great asset for the real estate sectors and will provide real-life solutions to the problems that real estate investors face.

Published by: Tanmay Kumar, Abhishek Kumar, Hardik Koul, Hemant Sharma, Dr. Ashok Kumar P. S.

Author: Tanmay Kumar

Paper ID: V6I3-1407

Paper Status: published

Published: June 3, 2020

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