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Review Paper

The inquisitive path for segmentation of mobile customers using data mining approach

In today’s world, data mining has increasingly become very interesting and popular in terms of all application. Telecommunication companies generate a tremendous amount of data. These data include call detail data, which describes the calls that traverse the telecommunication networks. Data is a very important ingredient and extracting knowledge from the data serves great purposes to the users.This work helps in identifying the activities Segmentation of mobile customers of different groups will be done based on some rules. The basic principles of data mining are to analyze the data from the different angle, categorize it and finally to summarize it. The need for data mining is that we have too much data, too much technology but don’t have useful information. Data mining software allows the user to analyze data. This paper introduces the key principle of data pre-processing, Segmentation, classification, clustering and introduction of WEKA tool.Weka is a data mining tool. It provides the facility to classify the data through various algorithms. Data mining is the process of analyzing data from different viewpoints and summarizing it into useful information. Data mining is one of the top research areas in recent days. WEKA is a data mining tool, it provides the facility to classify and cluster the data through machine learning algorithm.

Published by: Rahul Dubey, Reema Sachdeva, Mridul Dubey

Author: Rahul Dubey

Paper ID: V4I2-1803

Paper Status: published

Published: April 11, 2018

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Research Paper

Design and analysis of aircraft landing gear axle

The Aircraft Landing Gear supports the entire weight of the Aircraft during Landing and ground operations. They are attached to primary structural members of the aircraft. The type of gear depends on the aircraft design and its intended use. Most landing Gear have wheels to facilitate operation to and from hard surfaces, such as airport runways. Our project mainly aims in designing and analysis of Landing gear Axle for 1.25 tonne, SWIFT type, UAV (Unmanned Aerial Vehicle), this project was conducted under the guidance of DRDO (Defense Research and Development organization). Other Gear feature skids for this purpose, such as those found on Helicopters, Balloon gondolas and in the tail area of some tail dragger aircraft. In the design and analysis of landing gear axle, the wheels of the aircraft are attached to the bearings which are in turn attached to the axle, when in turn supports the entire wheel system and absorbs the impact while touching the ground. These are being designed according to FAR23 regulations. Aircrafts that operate to and from frozen lakes and snowy areas may be equipped with landing gear that have skid, aircrafts that operate to and from the surface of water have pontoon type landing gear. This landing gear axle can be used in all types of aircrafts regardless of the landing gear, shock absorbing equipment, brakes, retraction mechanism, control, warning devices, cowling, fairings Structural members used.

Published by: Jothi Prakash A, Joshua P, D Santhosh

Author: Jothi Prakash A

Paper ID: V4I2-1774

Paper Status: published

Published: April 11, 2018

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Review Paper

Footstep power generation using piezoelectric transducers

The man has needed and used energy at an increasing rate for the sustenance and well-being since time immemorial. Due to this a lot of energy resources have been exhausted and wasted. Proposal for the utilization of waste energy of foot power with human locomotion is very much relevant and important for highly populated countries like India where the railway station, temples etc., are overcrowded all round the clock.When the flooring is engineered with piezoelectric technology, the electrical energy produced by the pressure is captured by floor sensors and converted to an electrical charge by piezo transducers, then stored and used as a power source. And this power source has many applications as in agriculture, home application and street lighting and an energy source for sensors in remote locations.

Published by: Purna Sai Chinnam, Vijay Shekar B, Chlamaiah Naidu .A, Anupama Muvva, Naveen Kadiyala

Author: Purna Sai Chinnam

Paper ID: V4I2-1771

Paper Status: published

Published: April 11, 2018

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Research Paper

Offline handwriting recognition using neural networks

Handwriting recognition system can be defined as the ability of a computer to intelligently recognize the handwritten text by the user. The handwriting recognition is considered to be an open research topic due to the fact that every human being has a unique handwriting as well as there are numerous languages which are being used worldwide in written form. A neural network can be designed for recognizing handwritten texts in any language required. As different people have different handwriting styles, the task of recognizing the handwriting is a difficult task. As of today, the OCR (Optical Character Recognition) Engines are primarily focused on machine printed texts or handwritten texts which are written in block letters. By recognizing the texts in the handwritten text images by the user into letter codes is becomes usable digitally in computers and text processing applications.

Published by: Nitin Sharma, Pranshu Agarwal, Dr. Upasana Pandey

Author: Nitin Sharma

Paper ID: V4I2-1755

Paper Status: published

Published: April 11, 2018

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Research Paper

Bioleaching of industrial waste foundry sand by Aspergillus sp. treated as biofertilizer for the growth of herbal plants – Coriandrum sativum.

The present work aims to investigate the potential of Aspergillus sp. in the bioleaching of waste foundry sand and to support the growth of Coriandrum sativum. The WFSs were from aluminum, iron and steel foundries. This study also assesses the availability of Al, Cd, Co, Cu, Fe, Mg, Ni, Pb, and Zn in WFS. Although there were differences in the amounts of metals accumulated by the various plant species, excessive amounts of heavy metals were not taken up, regardless of WFS treatment. Hence, our study is designed to bioleached the metals present in waste foundry sand using Aspergillus sp. and to use it as a biofertilizer for the growth of Coriandrum sativum. The waste foundry sand was collected from different regions around Chennai and Coimbatore districts. The physical properties such as coloration like (black, and light black). Texture (Round and spherical), Moisture (0.75, 0.97), temperature (Room Temperature), solubility (dissolved and settled) and pH were measured (5-9) using standard protocols. The chemical properties of treated and untreated waste foundry sand were observed. The analyzed shows increase the level of aluminum and iron and decreased levels of Copper and Zinc in waste foundry sand. The waste foundry sand was bioleached using Aspergillus sp. The treated and untreated sand was later used for growing Coriander sapling under controlled conditions and observed for the metal absorption after growth. Our observations provide a supportive document on bioleaching of WFS by Aspergillus sp. was adequate in the growth of herbal plant Coriandrum sativum.

Published by: Padmasini Elango, Vijayakumari S

Author: Padmasini Elango

Paper ID: V4I2-1612

Paper Status: published

Published: April 11, 2018

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Research Paper

Analysis of machining parameters of aluminum power mixed EDM process

Scientifically emerging industries like automotive, defense, aerospace, electronics, nuclear power, metallic molds and dies require materials of high strength, high-temperature resistant alloys like carbides, super alloys, haste-alloys etc. Manufacturers strive hard to produce these components at lower cost and of esteem quality as they have a direct impact on the profit earned by the firm. Hence, the productivity can be improved by increasing the material removal rate (or) by reducing the machining time of the product. Addition of a fine conductive powder to the dielectric fluid decreases its insulating strength and consequently increases the inter-electrode space causing an easy removal of the debris.The process variables of PMEDM play a considerable role in material removal mechanism. Performance of the PMEDM process depends upon characteristics like powder type, concentration, particle size, electrode area and workpiece constituents. As a result, the process becomes more stable, thereby, improving the material removal rate (MRR) and surface finish. Moreover, the surface develops high resistance to corrosion and abrasion. In this study, we have chosen the OHNS (Oil Hardened Non-Shrinking) die steel as workpiece material. A copper electrode and brass electrode with a diameter of 10 mm were used to cut the workpiece in EDM. Commercial kerosene has been chosen as the dielectric fluid. The consequence of the Machining parameters such as Pulse ON time, Pulse OFF time and current over the Machining time and Surface Roughness has been analyzed. The interaction study is made by Response Surface Methodology.

Published by: Radha Krishnan, S. Dinesh, Venkatraman Swaminthan, Naveen

Author: Radha Krishnan

Paper ID: V4I2-1553

Paper Status: published

Published: April 10, 2018

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