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Research Paper

Wireless patient health- Care system

Monitoring patients has become the prime concern these days. Wireless Patient Health-Care System is developed for monitoring body temperature and heart rate of a patient constantly. The main objective of this application is real-time monitoring of the patient without being physically present in the doctor’s clinic. In this system, heart sensor and temperature sensor are connected to Arduino MEGA. Arduino MEGA processes the data and uploads the data on the website using ESP 8266. If any irregularities are noticed by the microcontroller, then it sends an alarm as an SMS to the doctor and the patients relative giving a warning that the patient needs immediate care. With this, the doctor can also view the patient’s history with the help of the data uploaded on the website for treating him later or to change the treatment if the earlier treatment doesn’t work on the patient.

Published by: Harshi Gala, Amutha Jeyakumar

Author: Harshi Gala

Paper ID: V4I3-1949

Paper Status: published

Published: June 27, 2018

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Research Paper

Course selection process among prospective graduates – data mining techniques

This paper is very unique in the sense that it studies the inner pulse for higher secondary students and on what reasons and basis to select higher studies. This study is much significant for the reason that it analysis the mentality of the student community and what cares he/she takes in choosing the higher secondary courses. Here various tools like Weka and SPSS have been applied to interpret the results.

Published by: M. Kannan, S. Balaji

Author: M. Kannan

Paper ID: V4I3-1991

Paper Status: published

Published: June 27, 2018

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Research Paper

Influence of thermal barrier coating on combustion characteristics in a biodiesel fuelled Di diesel engine

There are so many methods are used to improve the efficiency of a diesel engine, reduced fuel consumption. For this purpose, one of the technologies is used that is ceramically coated IC engine. It is also known as Thermal barrier coating (TBC). In the present work, YSZ has used as thermal barrier coating on combustion chamber to increase the thermal efficiency and reduce the fuel consumption. In this experimentation, YSZ – TBC is done by plasma spray coating technique which is the simplest method. Production of biodiesel from algae is a promising option. The present work aims to focus on the performance of a diesel engine with algae oil as fuel. In order to use the oil in an engine, its blends with the petroleum diesel were prepared. It is found that the properties of neat algae oil and its blends are very close to the properties of neat diesel. The investigation was carried out in the single cylinder water cooled, constant speed DI diesel engine with Yttria Stabilized Zirconia as Thermal Barrier Coating with the Diesel fuel and various blends of biodiesel like B20, B40, B60, B80, and B100. Here, the investigation carried out at idle load, part load and full load conditions. The combustion characteristics were analyzed at various load conditions for baseline without coating and YSZ –TBC coated engine. Here, YSZ – TBC coated engine have better combustion characteristics compared with the uncoated engine because of the thermal barrier coating on combustion chamber which gives the high heat release rate due to its high coefficient and low thermal conductivity. The blend of B20 has higher heat release rate characteristics. The addition of fuel additives is one of the possible approaches for increases the combustion characteristics. The present work, DEE is used as additives to improve the combustion characteristics of YSZ – TBC coated engine. Among the various blends tested, B20 + 5% DEE has better combustion characteristics.

Published by: S. Praveen Raman, S. Kishnamoorthi, S. Nagendharan

Author: S. Praveen Raman

Paper ID: V4I3-1987

Paper Status: published

Published: June 27, 2018

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Case Study

Study of unfurlable mechanism for space radars

Unfurlable rim truss antennae are considered to be the most suitable for developing large size aperture structures for space antenna. They have largely deployed to stowed volume ratio, precision, and reliability in its operation. The mechanism is capable of altering its configuration from a stowed to deployed shape to meet specific operational requirements of space-borne radar. The proposed study of unfurlable mechanism for paraboloid reflector antenna is made up number of parallelogram units comprised of links with appropriate hinge joints, which concatenate in a repeatable fashion to form the desired structure. This study include geometric modeling, kinematic simulation and preliminary structural analysis of unfurlable rim truss

Published by: Santoshkumar Ganeshnavar, Shreeshial B, Ajai Kumar Shrivastava, Sivakumar S., Jai Kumar V

Author: Santoshkumar Ganeshnavar

Paper ID: V4I3-1985

Paper Status: published

Published: June 27, 2018

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Research Paper

Classification of fungal and bacterial leaf diseases using machine learning techniques

In Farming and Gardening, leaf diseases have grown to be a challenge as it can cause considerable reduction in both quality and measure of agricultural yields. Thus, automated recognition of diseases on leaves plays a vital role in Farming and Gardening sector. This Thesis imparts a simple and computationally dexterous method used for leaf disease identification and grading using digital image processing and machine learning method. The proposed system is divided into two phases, in the first phase the plant is recognized on the basis of the features of leaf, it includes pre-processing of leaf images, and feature extraction followed by Support vector machine and decision tree based training. In the second phase the disease present in the leaf is classified, this process includes K-Means based segmentation of defected area, feature extraction of the defected portion and the Support vector machine and decision tree based classification of disease. Then the disease grading is done on the basis of the amount of disease present in the leaf.

Published by: Naveen Mandal, Yogesh Rathore

Author: Naveen Mandal

Paper ID: V4I3-1992

Paper Status: published

Published: June 27, 2018

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Dissertations

Sensitive label privacy protection on social network data

Privacy is one of the fundamental issues when publishing or sharing social community data for social technology studies and business evaluation. Lately, researchers have developed privacy models much like okay-anonymity to save you node re-identification via shape data. However, even if those privacy fashions are enforced, an attacker may still have the ability to deduce one’s private statistics if a group of nodes in large part share the same touchy labels (i.e., attributes). In other words, the label-node courting isn't always nicely covered by pure structure anonymization methods. Moreover, current strategies, which depend upon area enhancing or node clustering, may also significantly alter key graph properties. Items shared through Social Media may affect more than one user’s privacy e.g., photos that depict multiple users comments that mention multiple users, events in which multiple users are invited, etc. The shortage of multi-celebration privateness management guide in modern mainstream Social Media infrastructures makes users unable to as it should be manipulated to whom those objects are absolutely shared or no longer. Computational mechanisms which can be capable of merge the privacy preferences of more than one customer’s right into an unmarried policy for an item can assist resolve this problem. But, merging more than one customers’ privateness preferences isn't always a smooth venture, because privateness options may war, so techniques to clear up conflicts are needed. To tackle this problem, in this, we propose the first computational mechanism to resolve conflicts for multi-party privacy management in Social Media with privacy policy inference of user-uploaded images that is able to adapt to different situations by modeling the concessions that users make to reach a solution to the conflicts.

Published by: Pradnya Sangade, Nitin Shivale

Author: Pradnya Sangade

Paper ID: V4I3-1984

Paper Status: published

Published: June 26, 2018

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