Elimination of cylinder head valve guide wrong fitment
The Engine is powered by burning the air-fuel mixture inside the combustion chamber and the power is delivered to run the Vehicle. The mixture of air-fuel is required in the correct quantity to attain maximum efficiency. There are two valves present in the Engine cylinder head which is inlet and exhaust valve. This two valve will have different parameters, in which the exhaust valve is small and the inlet is big compared to the exhaust valve. Valve Guides and valve seats are very important for the continuous proper working of the inlet and exhaust valves. The valve guide is helpful for the valve to sit in the correct position with respect to the valve seat. Valve Guide is a cylindrical piece which is manually loaded in the machine and pressed into the cylinder head during the cylinder head machining process. Since the valve guide is inserted in the valve guide press machine manually there is a chance of inserting in the wrong direction inside the cylinder head. This problem leads to a drastic amount of scrap and increases in material cost. The solution to this problem can be solved by adding an airline and pressure sensor in the valve guide holder in valve guide press machine. This can eliminate the problem and also improves in the quality time and in the reduction of the amount of scrap.
Published by: Deepak Sekar, Mohan Y, Mithun C
Author: Deepak Sekar
Paper ID: V5I2-1750
Paper Status: published
Published: April 4, 2019
Importance of use of sanitary napkin during menstruation cycle
In respect to carrying the present research paper, the main aims are to provide the importance of using sanitary napkins in the menstruation cycle. Awareness and essential information need to provide to all female in rural areas so that effectiveness will be developed in a systematic manner. Furthermore, thematic analysis has been implemented that assists to find effective information towards the aim. Descriptive research design also ascertains that make proper outcomes in business will in-depth information in the society
Published by: Garima Wadhwani
Author: Garima Wadhwani
Paper ID: V5I2-1719
Paper Status: published
Published: April 4, 2019
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
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
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
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
