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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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Research Paper

Smart restaurant system

The main aim of our project is to provide an AUTOMATION in the restaurants by replacing the TRADITIONAL RESTAURANTS in which the customers have to wait for a longer time to give their orders to the waiters and there may also be a mistake while taking and delivering food items to the customers. There is also a lot of work on waiters when massive people are present in the restaurant, especially during festival occasions. If we provide automation in a restaurant system we can overcome these drawbacks and lead to a SMART CITY which is also the aim of our government.

Published by: Kousar Jan, Insha Farooq Talib, Biswash Pathak, Sunil Kumar Sah, Muzzamil Rather

Author: Kousar Jan

Paper ID: V5I3-1369

Paper Status: published

Published: May 14, 2019

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Research Paper

Enzymatic hydrolysis of weed plant Agave tequilana for the production of bio-ethanol

Burning of fossil fuels has not only led to health problems but also have a great impact on our environment like acid rain, climate change, global warming. And it is excepted by 2070, the current globe will be running out of fossil fuel. Our work was conducted on weed plant Agave tequilana, wherein microbial fermentation was carried out on pretreated biomass with 0.8% of NaOH and 98% H2SO4 by using standard cultures of Aspergillus niger (ATCC 16404)and Saccharomyces cerevisiae (NCIM 3622). The percentage of Bio-Ethanol yield was found to be 45.55%.

Published by: Shashikala A., Rathan Kumar

Author: Shashikala A.

Paper ID: V5I3-1287

Paper Status: published

Published: May 13, 2019

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Dissertations

Comparative analysis and design of framed structure with different types of infill walls

In the last few decades, the scientific community has been extensively involved in the investigation about the interaction between infill walls and RC frames in the seismic structural behavior. The infill walls are seldom included in the numerical analysis of reinforced concrete structural Systems since infill panels are generally considered as non-structural components. However, these panels affect the structural response to a large extent, because the complexity they introduce to analysis, kept them unaccounted. Therefore, it is crucial to understand the contribution of infill walls to earthquake response of the Structures. In this study, an attempt is made to do comparative analysis and design of the structure when the structure is modeled using different types of infill walls. In this study, an R/C frame structure with a different type of infill walls like AAC Block, Clay Brick, are considered to investigate the effect of different types of infill walls on earthquake response of the structures. The RCC frame analyzed & designed by using STAAD-Pro software. The diagonal strut approach is adopted for modeling of infill walls. The analytical results of the building frame will be compared and analyzed to obtain are storey drift, base shear, Lateral displacement, shear force and bending moment when subjected to static earthquake loadings.

Published by: Syed Raheel Ahmed, Aditi H. Deshmukh

Author: Syed Raheel Ahmed

Paper ID: V5I3-1271

Paper Status: published

Published: May 13, 2019

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