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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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Research Paper

Breast cancer prediction algorithms analysis

Machine learning which an application of Artificial intelligence (AI) is makes the system capable to automatically learn through the environment without being explicitly programmed. It is widely used in various domains like classification and prediction processes. This paper basically compares classifier algorithms like-Naïve Bayes, K Nearest Neighbour, Decision tree, Logistic Regression, Random Forest, Support Vector Machine (SVM). These algorithms predict chances of breast cancer and are programmed in python language. The implementation procedure shows that the performance of any classification algorithm is based on the type of attributes of datasets and their characteristics. The main aim of this paper is to do the comparison of these algorithms on the basis of the accuracy. The goal is to classify whether breast cancer is “Benign” or “Malignant”.

Published by: Pooja Mudgil, Mohit Garg, Vaibhav Chhabra, Parikshit Sehgal, Jyoti

Author: Pooja Mudgil

Paper ID: V5I3-1326

Paper Status: published

Published: May 14, 2019

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Research Paper

Terrorist attack security and soldier health monitoring system

Nation security is dependent on its defense system. The army is one of the defense systems. In this days terrorism increases and it focuses on soldiers destruction to make countries' defense system weak. So, in this case, it is necessary to provide more security to military base station and soldiers. These all things keeping in mind this project is built. The project works for defending any unauthorized person to enter in the military area with Pi-camera, IoT server and wireless communication it will provide 24-hour security and attacks on military base station will be controlled. Along with this, sensors like heartbeat sensor and temperature sensor is used for daily fast routine checkup of soldiers

Published by: A. B. Ingole, Meghana Kadam, Rohini Haladkar, Amruta Gosavi, Urvashi Patil

Author: A. B. Ingole

Paper ID: V5I3-1295

Paper Status: published

Published: May 14, 2019

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Research Paper

Child monitoring system using IoT

In our nation, children are the most precious resources as they are imminent of the country. The parents always look forward to having their children in a safeguarded place where they can make their time without any complication. Unluckily children are threatened. The violation has been growing increasingly. The security of graduate school going youngster is a noteworthy constituent motivated to proceed along with the assist of innovative advancement. During children transit to and from the school, there are many miserable cases observed in media. In our nation, due to the absence of preventative considerations children seems to be nowhere to be found and later end up in the trouble. During the transit of the children to and from school, parents are anxious. Therefore, in current days, the security issue of school children is to be given supreme significance. The objective behind the project is to design a child safety system through smartphones that provide the possibility to trace child’s location as well as during emergency children can alert parents by saying a child is in an emergency via message. An Android application is developed and installed on parents phone so that their children can be traced, monitored to keep track of their activities and location using GPS. The system is developed using P89V51RD2 microcontroller, GSM, GPS and a panic (alert) button along the RF transmitter and receiver.

Published by: Vibha Chandrala, Niveditha N., Neha B. Reddy, Urmila N., Dr. Deepak G.

Author: Vibha Chandrala

Paper ID: V5I3-1290

Paper Status: published

Published: May 14, 2019

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