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Research Paper

Anticipating thyroid disorders using data mining techniques

Anticipating the Thyroid disease is one of the currents focuses in Medical research. The most difficult undertaking of the restorative field is to give the infection analysis at the beginning period with higher precision. The sickness forecast assumes a critical part in information mining. Information mining is mostly utilized as a part of medicinal service associations for basic leadership, diagnosing malady and giving better treatment to the patients. It is a procedure for investigating huge informational collections to discover a few examples. These examples can be useful for forecast demonstrating. In this theory, the principal objective is an order of thyroid ailment. An investigation of thyroid sickness finding systems utilized as a part of information mining. The thyroid is one of the impulsive syndromes in the restorative field. Thyroid hormones control the body's metabolic rate. Also, information mining methods have been connected in different areas the order, after the effects of the restorative informational index which helps the method for medications to the patients. In proposing a procedure, look at different calculations, for example, naval forces' bayer, random backwoods, irregular tree, REP Tree, D tree to discover which calculation to give the best outcome for thyroid ailment expectation. An exploratory examination is conveyed out our calculation to accomplish better exactness. There are numerous information mining grouping Algorithms, for example, naval forces, REP Tree, arbitrary tree, irregular forest, D tree and k-overlap cross approval et cetera. The proposed Algorithm gives exactness 99.80% with cross approval k=6.

Published by: S. Sai Vasavi, S. Shruthi, S. Sai Sri Harshini, VNVLS Swathi

Author: S. Sai Vasavi

Paper ID: V5I2-1731

Paper Status: published

Published: April 4, 2019

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Research Paper

Event management and social media marketing

Event management is a multidisciplinary occupation, it is an exciting and continuously growing industry. It attracts people who possess creative talents, and organizational skills which they use to execute all event and event-related functions. Event managers are in a work environment in which no two days are the same. Events not only provide people with Entertainment, Unique, and Memorable experiences but also have the ability to reflect and mold a society. Thus it becomes important for an Event Manager or Event Management organisation to understand their Capabilities, Target Market and the Trends in the Event Management Industry, the marketing of their services also need to be done right in order to keep the present customers informed and attract new potential customers, not to forget to remain a step ahead of the competition in this ever-evolving industry. Social Media Marketing is gaining more and more acknowledgment with various industries increasing brand awareness and focusing on increasing their interactions with their customer. Similar practices of using social media to promote the event and event-related content can be useful for an organization in the event management industry too.

Published by: Namratha J., Dr. A. Thiruchelvi, Natasha J.

Author: Namratha J.

Paper ID: V5I2-1641

Paper Status: published

Published: April 4, 2019

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Research Paper

Software defect prediction

Software Defect Prediction is an important aspect in order to ensure software quality. Deep Learning techniques can also be used for the same. In this paper, we propose to extract a set of expressive features from an initial set of basic change measures using Artificial Neural Network (ANN), and then train a classifier based on the extracted features using Decision tree and compare it to three other methods wherein features are extracted from a set of initial change measures using dimensionality reduction techniques that include Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Kernel PCA. We use five open source datasets from NASA Promise Data Repository to perform this comparative study. For evaluation, three widely used metrics: Accuracy, F1 scores and Areas under Receiver Operating Characteristic curve are used. It is found that the Artificial Neural Network outperformed all the other dimensionality reduction techniques. Kernel PCA performed best amongst the dimensionality reduction techniques.

Published by: Sree Abirami S., Umavathi R., Benula L., Mathiyalagan P.

Author: Sree Abirami S.

Paper ID: V5I2-1738

Paper Status: published

Published: April 4, 2019

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Research Paper

Implementation of ROS-I on industrial robot simulation environment

This paper presents the procedure for the implementation of ROS-I architecture into the Robotic simulation offline programming environment. The Implementation is done by developing the packages which are necessary for implementing into ROS-I that are related to modeling and Configuring of the Industrial Robot. The Communication between ROS-I and Roboguide will be established, and motion planning can be performed through Rviz moveit! Interfaces.

Published by: Prasanth T.

Author: Prasanth T.

Paper ID: V5I2-1740

Paper Status: published

Published: April 4, 2019

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Research Paper

Design and development of wheel spray pump

In the agricultural sector generally, the farmer uses the traditional way that means spray carried on back and spraying crop. This becomes time consuming, costly and human efforts is a major concern, these problems can be overcome by using mechanically operated wheel spray pump. It facilitates the uniform spread of the chemicals, it is capable of spraying chemicals at the desired level, precision made nozzle tip for adjustable stream and capable of throwing foggy spray as per requirement. In our project we use the slider-crank mechanism to convert rotational motion into a reciprocating motion to operate the pump, thus the pesticide is spread through the nozzle. This work gives a continuously foggy flow of pesticide at the required pressure and height. A special arrangement is implemented in this project to adjust the pressure as high or low. We also use two wheels at the back of the frame to balance the complete assembly. By using the wheel spray pump, spraying time and human efforts reduce and results in cost reduction.

Published by: Akash Manoj Holam, Bharat Maruti Kadwaikar, Manish Mahendra Pawar, Abhijeet Gurunath Naik, Rahul Damodar Belekar

Author: Akash Manoj Holam

Paper ID: V5I2-1487

Paper Status: published

Published: April 4, 2019

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Research Paper

Quality improvement in carbon bush machining

This paper presents a Lean Six Sigma improvement in a production line of the company’s Carbon Bush Machining Sector, in order to eliminate losses that cause low productivity, affecting the fulfillment of the production plan and customer satisfaction. The use of Lean methodology following the DMAIC (Define, Measure, Analyze, Improve and Control) stages allowed analysing the factors that cause wastages of carbon bush. The root cause for wastages were identified with helps of quality tools like (control chart, Pareto chart, cause and effect and diagram, etc). The major problem and cause that contributes for wastage which we assumed were through handling of work pieces (carbon bush), done by both machines and humans. The solution was generated after collection of various data through inspection.

Published by: Kamatchi T., Kishore S., Bhuvanesh M., Karthikeyan M., Arun Senthil Kumar A.

Author: Kamatchi T.

Paper ID: V5I2-1671

Paper Status: published

Published: April 3, 2019

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