Manuscripts

Recent Papers

Geospatial Based Study to Predict Future Shoreline Positions from Historical Data for a Part of Palk Bay Coast, South India

The coastal zone has been receiving tremendous attention of the geoscientific community worldwide, as 70 percent of global population, over two third of world’s mega cities, huge industrial complexes, major economic zones, etc., are concentrated along global coast. Developing and most populated country like India changes along the shoreline and coastal environment due to coastal process are the directly impact coastal economic development and land management (Welch et al. 1992; Stokkom et al. 1993). Hence, the present study has focuses to study the shoreline modification of 43 years of periods between 1972 and 2015. For attempting of this unique freely available software Digital Shoreline Analysis System (DSAS) is used which works within the Environmental Systems Research Institute (ESRI) Geographic Information System (ArcGIS) software (Ref). Rate of shoreline change statistics for 43 years of duration between 1972 to 2015 has been calculated using LRR model. In addition, using EPR model to predict future shore line positions in Palk bay. Thus the present study has been calculated from chronological observations of different satellite datas and disastrous impacts like tsunami and storm have not been taken into consideration (Mukhopadhyay et al. 2012; Fenster et al. 1993).

Published by: Kumara Ganesh .U

Author: Kumara Ganesh .U

Paper ID: V3I3-1604

Paper Status: published

Published: June 27, 2017

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A Survey Paper on Approaches of Natural Language Processing (NLP)

With the increasing usage of the Web and other text application areas, the demands in both text mining and natural language processing (NLP) have been increasing. Researchers in text mining have hoped that NLP—the attempt to extract a fuller meaning representation from free text—can provide useful improvements to text mining applications of all kinds. The primary goal of Natural language processing (NLP) is to implement within computers the skill to understand a normal human language or natural language. It is related to the field of computer- human interaction. One of the motivation of NLP is for the society whose access to web information is obstructed simply by their inability to use key-board and operating system. Natural language comes under the domain of artificial intelligence with the goal of understanding and creating meaningful expressions in human-language. Artificial intelligence is the capability of a machine to imitate intelligent human behavior .Therefore NLP uses Artificial Intelligence, and is used to recover information in data mining. This paper presents a survey on Natural language processing (NLP) and its approaches.

Published by: Samta Tembhekar, Monika Kanojiya

Author: Samta Tembhekar

Paper ID: V3I3-1592

Paper Status: published

Published: June 27, 2017

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E-Mail Spam Detection and Classfication Using SVM and Feature Extraction

Today emails have become to be a standout amongst the most well-known and efficient types of correspondence for Internet clients. Hence because of its fame, the email will be misused. One such misuse is the posting of unwelcome, undesirable messages known as spam or junk messages. Email spam has different consequences. It diminishes productivity, consumes additional space in mail boxes, additional time, expand programming damaging viruses, and materials that contains conceivably destructive data for Internet clients, destroy stability of mail servers, and subsequently clients invest lots of time for sorting approaching mail and erasing undesirable correspondence. So there is a need of spam detection so that its outcomes can be reduced. In this paper, propose a novel method for email spam detection using SVM and feature extraction which achieves accuracy of 98% with the test datasets.

Published by: Shradhanjali, Prof. Toran Verma

Author: Shradhanjali

Paper ID: V3I3-1608

Paper Status: published

Published: June 26, 2017

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A Review E-Mail Spam Detection and SVM Classfication Techniques

Today emails have become to be a standout amongst the most well-known and efficient types of correspondence for Internet clients. Hence because of its fame, the email will be misused. One such misuse is the posting of unwelcome, undesirable messages known as spam or junk messages. Email spam has different consequences. It diminishes productivity, consumes additional space in mail boxes, additional time, expand programming damaging viruses, and materials that contains conceivably destructive data for Internet clients, destroy stability of mail servers, and subsequently clients invest lots of time for sorting approaching mail and erasing undesirable correspondence. So there is a need of spam detection so that its outcomes can be reduced. In this paper, we show different spam detection techniques

Published by: Shradhanjali, Prof. Toran Verma

Author: Shradhanjali

Paper ID: V3I3-1607

Paper Status: published

Published: June 26, 2017

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Online Internet Knowledge Management System for College

This project is aimed at developing an online intranet knowledge management system that is of importance to either an organization or a college. The system (KMS) is an Intranet based application that can be accessed throughout the organization or a specified group or Department. This system can be used as a knowledge or information management system for the college. Students or Staff logging should be able to upload any kind of technical information. Students or Staffs logging in may also access or search any information put up by others. Knowledge Management System should facilitate knowledge sharing from the grass root level like project teams to the entire college or organization.The Knowledge Management System is a web based system,which provides a platform for students and the staff of an organization or institution to upload any kind of technical or course related data.Students or Staffs logging in may also access or search any information put up by others. Knowledge Management System facilitates knowledge sharing from the grass root level like project teams to the entire college or organization.

Published by: Vikas .R, Venkateshwar .A, Nikesh Reddy, Tilak Kumar, Ranjeet .H

Author: Vikas .R

Paper ID: V3I3-1603

Paper Status: published

Published: June 24, 2017

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Faculty Information System(FIS)

This is real time java based web application for faculty management. Where it consists of semester wise department time table. After completion of every session they should update student attendance with respective subject. Where absent students will be informed to their parents via text message. The system will generate the attendance percentage automatically day by day. The faculty can shift their session to another faculty when they are not able to take classes or busy in some other activities and the requested notification can be sent to the faculty mobile number.

Published by: Barge Sandesh, P. Phaniram Prasad, Sree Ananth Kumar .P, Musam Ahmed, Soumya .N

Author: Barge Sandesh

Paper ID: V3I3-1597

Paper Status: published

Published: June 23, 2017

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