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College bus tracking system

This project is based on a Real-Time College Bus Tracking Application which runs on the website. This enables students to find out the location of the bus so that they won't get late or won't arrive at the stop too early. The main purpose of this website is to provide the exact location of the student's respective buses in Google Maps besides providing information like bus details and distance. College students use this website. It is a real-time system as the current location of the bus is updated every moment in the form of latitude and longitude which is received by the students through the website on Google maps. The application also estimates the time required to reach a particular stop on its route. This mode of communication can be useful for the bus tracking system.

Published by: Sangavi K. A., Vinitha N., Vimala R., Ramesh A.

Author: Sangavi K. A.

Paper ID: V5I2-1502

Paper Status: published

Published: March 27, 2019

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Research Paper

Development of conducting organic polymer film by R. F. plasma polymerization

Electrodeless R.F. capacitive coupling is used to make plasma polymer. The thickness of the film measured to be 8.0 µm. The film is made conducting by doping with Iodine. The resistivity measured with Vander Pauw’s Method and it was found to be 1.7 KΩ cm. Hopping conduction mechanisms found to be the probable mechanism of charge transport in the obtained polymer film

Published by: Mukesh Nigam

Author: Mukesh Nigam

Paper ID: V5I2-1505

Paper Status: published

Published: March 27, 2019

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Research Paper

Artificial Lampyridae Classifier (ALAC) for coronary artery heart disease prediction in diabetes patients

Soft computing techniques and its applications extend its wings in almost all areas which include data mining, pattern discovery, industrial applications, robotics, automation and many more. Soft computing comprises of the core components such as fuzzy logic, genetic algorithm, artificial neural networks, and probabilistic reasoning. In spite of these, recently many bio-inspired computing attracted attention for the researchers to work in that area. Machine learning plays an important role in the design and development of decision support systems, applied soft computing and expert systems applications. This research work aims to build an artificial Lampyridae classifier and also compared with Takagi Sugeno Kang fuzzy classifier and ANN classifier in terms of prediction accuracy, sensitivity, specificity, and Mathew’s correlation coefficient. The significance of MCC is to test the ability of the machine learning classifier in spite of other performance metrics. Implementations are done in Scilab and from the obtained results it is inferred that the built ALC outperforms that that of TSK fuzzy classifier and ANN classifier.

Published by: B. Narasimhan, A. Malathi

Author: B. Narasimhan

Paper ID: V5I2-1543

Paper Status: published

Published: March 27, 2019

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Research Paper

Android mobile hacking using Linux

Backdoors are one of the most complicated types of Android malware. A normal backdoor carries out its functionalities such as installing itself into the system directory, disabling system apps, or gaining access to app’s data, to steal and upload sensitive info, download and ask to install applications and set up mobile botnets when setting proper Android permissions. This project focus on how Android devices are hacked using backdoors and how they can be stopped from doing so. The backdoor application when installed and turned on the mobile allows an attacker to read, write and modify the data. Due to Backdoor attacks Confidentiality, Integrity, and Accountability of the information security are lost. When the application is installed on the victim's mobile and the victim opens the application it creates the meter-preter session which permits the attacker to access functions like webcam, contacts, read SMS, send SMS, read call log, write call log, access storage, install applications.

Published by: Arulpradeep S. P., Vinothkumar P., Nilavarasan G. S., Sai Harshith Kumar S., Naveen P.

Author: Arulpradeep S. P.

Paper ID: V5I2-1528

Paper Status: published

Published: March 27, 2019

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Research Paper

Fault detection monitoring and controlling of induction motor using Zigbee

Our project is basically based on monitoring and controlling of the induction motor by the use of a Zigbee module. Microcontroller and other sensors play an important role in this monitoring and controlling of the induction motor. This type of monitoring helps to take preventive measures against induction motor when a fault occurs.

Published by: Niraj, Tejas Borde, Prasad Mulumkar

Author: Niraj

Paper ID: V5I2-1530

Paper Status: published

Published: March 27, 2019

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Research Paper

Classification of attack types for intrusion detection system using machine learning algorithm: Random forest

In the current era of Big Data, a high volume of data is being grown in vast and the speed of generating the new data is accelerating quickly. Machine Learning algorithms are used for such large datasets to teach computers how to reply to and act like humans. In machine learning with the help of generalization ability, the increase in the size of the training set increases the scope of testing. In this paper, we analyze the results of the attacks classified using Intrusion Detection System, and the training time of Random Forest algorithm is measured by increasing the size of the KDD dataset in intervals thereby observing the changes in the final evaluation metrics obtained

Published by: Dasari Sree Lalitha Chinmayee, C. Visishta, Garbhapu Navya, Sajja Ratan Kumar

Author: Dasari Sree Lalitha Chinmayee

Paper ID: V5I2-1541

Paper Status: published

Published: March 27, 2019

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