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Longitude and latitude based travel route recommendation and disaster management system

The development of the travel industry gradually fosters personalized requirements of tourists, such as setting the start place, exploiting interesting activities and organizing the travel route and also natural disasters. Natural Disaster has threatened mankind since history started. Due to the geographic position and climate change, India is one of the most vulnerable countries to natural disasters. The country also lacks an effective disaster preparedness system to confront natural disasters. Timely disaster warning and evacuation guideline can save the lives of the people. In addition, a tourist may face difficulties in finding the best scenic spots on travel time and a safe area or shelter place prior to the occurrence of natural disasters. For this reason, proposed a location-based early travel route recommendation and disaster warning and evacuation system. The system is implemented as a desktop application. Here propose a system which takes advantage of online website to collect information of both scenic spots and real-world local activities, and proposed methods to recommend travel routes for tourists and also develop a disaster management system, which can take their instant location into account and satisfy their personalized demands. Specifically, extract scenery spots dataset from the shared dataset and popular activities from the online website. Then process these items and take the filtering results as the recommendation for tourists. And user registers on the server to get automatic notification of upcoming disaster otherwise user gets a manual notification. The user gets the updated data by the current position obtained by longitude and latitude. When our application recognizes the user in probable disaster zone then the application will disseminate visual disaster warning and evacuation guideline including shortest path of shelter or safe zone on the map of the application.

Published by: Athira Soman, Divya S. B.

Author: Athira Soman

Paper ID: V5I3-1349

Paper Status: published

Published: May 14, 2019

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Research Paper

Fabrication of model of solar panel cleaning machine

The cleaning of dust particles on the solar panel is a huge job and time taking the process and requires a lot of manpower and money. To remove this limitation automatic system is a good choice for no man operations, it also economical and autonomous as it requires no man to monitor. This project implements a solar panel cleaning automatic systems which can self charge it’s a battery and clean the dust on the solar panel only during the night time.

Published by: Meet Prajapati P., Tanuja Mishra P., Manisha Prajapati M.

Author: Meet Prajapati P.

Paper ID: V5I3-1304

Paper Status: published

Published: May 14, 2019

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Research Paper

A study of different factors required for better crop planning system

Today’s farmers are facing various challenges in agriculture, some of them are arises due to natural resources such as soil optimization, land allocation, water management, and other resources. This can be controlled by effective agriculture crop planning and other challenges are the farmers have a lack of awareness in market information due to this they are not getting the actual price of their crop. Also, the farmer not having enough information about different policies and scheme provided by the government. In this paper, we provide different methods for increasing crop planning and crop productivity. This paper gives the general idea of effective crop planning and increasing productivity with comparing different parameters and suggesting the different daily need crops according to their soil type and importance of irrigation methods and there use in farming.

Published by: Jyoti Deone, Dr. Khan Rahat Afreen

Author: Jyoti Deone

Paper ID: V5I3-1294

Paper Status: published

Published: May 14, 2019

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Research Paper

On the fly integration of applications using context aware approach

IT Applications have dominated every sector making the services online, there is a heartfelt need to standardize these applications so as when these applications when work in conjugation give better results real time for any kind of queries of customers maintaining levels of abstraction and information hiding. This paper aims at proposing a model for the on fly integration of the applications using context-aware self-adaptation approach for application service to cater to the need to integrate the data and services provided by the various applications. Our research within this direction has depicted the characteristics of the existing information and application systems primarily of the QoS Broker Architecture and Service Oriented Architecture. The latter part of this paper proposes an architectural model to describe the fly culmination of services by standardizing it and providing the result of a query using the context-aware engine. The aim of this paper is to study the existing systems, identify drawbacks and improve systems integrations to achieve an optimized and dynamic platform for real-time query processing.

Published by: Anumita Sinha, Nishi Mehta, Pramod Bhakta, Era Johri

Author: Anumita Sinha

Paper ID: V5I3-1302

Paper Status: published

Published: May 14, 2019

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Research Paper

Machine learning techniques for selecting the crop to increase the yield

Agriculture is the backbone of our country for economic growth and it depends on selecting the crops, weather conditions, soil classification, marketing price, etc. In an economy where most of the produced food is from agriculture, selection of crops plays an important role. In light of the decreasing crop produce and shortage of food across the country which also has been a consequence of bad crop selection and thus, leading to increasing farmer suicides. So that we suggest one method which would help the farmers in selecting the crops in order to maximize the yield by summing up the analysis of all the affecting parameters. These affecting parameters can be economical, environmental as well as related to yield in nature. Selecting and maintaining suitable crops for maximum profit involves a sequence of tasks. These tasks should be carried out with basic knowledge and experience. The crop advisor expert system then suggests with a consultation with the farmer (through a graphical user interface) a suitable agricultural crop that can be grown in a land unit with reasoning.

Published by: Siddharth H. E., Bharathi M., Navya G., Praveen Kumar L., Harshavardhana Doddamani

Author: Siddharth H. E.

Paper ID: V5I3-1358

Paper Status: published

Published: May 14, 2019

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Research Paper

Design of Vedic multiplier using Urdhva Tiryagbhyam Sutra

The multiplier is a key building block of all processors, which improves the speed of Digital Signal Processor (DSP), a special application in which we need to reduce the time delay. In the proposed method, we design a Vedic multiplier by using a Vedic Mathematics Sutra called Urdhva Tiryagbhyam, which means “vertically and crosswise”. Vedic Mathematics is mainly based on 16 Sutras and was rediscovered in the early 20th century. In ancient times in India, people used this Sutra for decimal number multiplications effectively. The same basic concept of the above-mentioned Sutra is extended to the multiplication of binary numbers to make use in the digital hardware system. The computation of partial products in parallel in the Urdhva Tiryagbhyam Sutra increases the speed of the computation process and the processing time is reduced in comparison with the use of inbuilt MATLAB functions. In our proposed multiplier design, the delay for the 4X4 Vedic multiplier is reduced and also the number of transistors is reduced by a large amount compared to the previously proposed design.

Published by: Harsha R., Anilkumar S. R., Chandan R., Jeevan Kumar S., Manjula N.

Author: Harsha R.

Paper ID: V5I3-1340

Paper Status: published

Published: May 14, 2019

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