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Research Paper

Frauds in Indian banking industry

The Indian banking sector has full-fledged appreciable growth and changes since the alleviation of the economy in 1991. Though' the industry is usually well regulated and supervised, the world suffers from its own set of challenges once it involves moral practices, money distress and company governance. This study endeavors to hide problems like banking frauds and mounting MasterCard debt, with a close Analysis victimization secondary information (literature review and case approach) moreover as an interview-based approach, spanning across all players concerned in reportage money misconduct. The report touches upon the case of rising NPAs within the past few years across varied regular business banks, particularly public sector banks. The study finally proposes some recommendations to cut back the future prevalence of fraud in Indian banking sector. The believability of third parties like auditing corporations and credit rating agencies is additionally questioned within the study and is believed to be a major contributor amongst alternative causes, like an oversight by banks and inadequate diligence.

Published by: Sushma Rawath

Author: Sushma Rawath

Paper ID: V5I6-1265

Paper Status: published

Published: December 18, 2019

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Review Paper

Survey on document image binarization

Segmentation of text from badly degraded document images is a very challenging task due to the high inter/Intra variation between the document background and the foreground text of diļ¬€erent document images. Image processing and pattern recognition algorithms take more time for execution on a single-core processor. Graphics Processing Unit (GPU) is more popular now-a-days due to their speed, programmability, low cost and more inbuilt execution cores in it. The main goal of this research work is to make binarization faster for recognition of a large number of degraded document images on GPU. In this system, we provide a new image segmentation algorithm that each pixel in the image has its own threshold proposed. We are doing parallel work on a window of m*n size and extract object pixel of text stroke of that window. The document text is further segmented by a local threshold that is estimated based on the intensities of detected text stroke edge pixels within a local window

Published by: Pradnya Ulhas Patil

Author: Pradnya Ulhas Patil

Paper ID: V5I6-1266

Paper Status: published

Published: December 16, 2019

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Survey Report

Chatbot for college using Google Actions

The project Chatbot for college using Google Actions is a mobile application that presents a solution to the query of the users. Users just must question the bot and Chatbot will answer user's queries. Students can ask questions the usage of any English textual content or Voice. There is not any precise layout, the consumer has to follow. The System uses AI to answer the query supplied via Google moves for the student questions. The gadget replies using a powerful technique which is a Graphical User Interface which implies that as if an actual character is speaking to the person

Published by: Ayushi Turkar, Bhuvana K., Zeba Ali, Syeda Ameena Kouser, Ravi P.

Author: Ayushi Turkar

Paper ID: V5I6-1261

Paper Status: published

Published: December 16, 2019

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Review Paper

A study on rain streaks removal from an image in outdoor vision systems

The quality of captured images will be highly affected by an abnormal weather like rain or snow. Such bad weather conditions can degrade and corrupt the performance of various outdoor vision systems like CCTVs, traffic cameras etc. Even if many bad weather conditions can affect the quality of captured images, rain affects the image in a more negative way because, it is observed as bright streaks. Because of the negative effect of rain on outdoor vision systems, rain removal is an important problem. Detecting rain streaks accurately is a difficult task since rain has no particular location in an image. Rain removal has been an active research topic over many years and several techniques has been proposed. From all these studies, rain removal from an image can be classified into four main categories. The first category is simply filtering based whereas the second category builds models for rain streaks. In the third category, a 2-step processing is performed for rain removal and in the fourth category, deep learning techniques are used. So, in this paper, we have done a detailed study on the effects of rain on images and various rain removal methods.

Published by: Aiswarya C. B., Dr. K. S. Angel Viji

Author: Aiswarya C. B.

Paper ID: V5I6-1257

Paper Status: published

Published: December 13, 2019

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Research Paper

Modified cockpit door lock system

Passenger life is more precious, the safety of aircraft dominantly depends on the cockpit security systems. It is essential to enhance the cockpit security due to increasing threats day-by-day. Implementation of advanced systems such as fingerprint scanner, an auto alarm is required to keep the cockpit as well the airplane safer from any sort of danger especially in bigger aircraft carrying 100-800 passengers. This Project intends to enrich the aircraft safety to its maximum by implementing better door lock systems using highly advanced Arduino Processor combined with a fingerprint scanner.

Published by: P. S. Mohanasaravanan, E. Maha Vishnu, R. Manikandan

Author: P. S. Mohanasaravanan

Paper ID: V5I6-1249

Paper Status: published

Published: December 13, 2019

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Review Paper

A study on detection of Cross Site Scripting (XSS) attacks

The advancement in internet technology has changed the daily activities of human life. The information available here is ample and is available with a single click. In present-day, most of service-oriented companies use web applications to improve services to their clients. With the increase in web users, web attacks are also increasing due to the vulnerabilities in applications. Cross-Site Scripting (XSS) is a computer security vulnerability found in web applications. Hackers, use this vulnerability in web applications to steal identity, credit card details, etc. According to the Internet Security Threat Report 2019(ISTR 2019), there is an increase in web attacks by 56 percent in 2018.

Published by: Vinayak Pai, Govardhan Hegde K.

Author: Vinayak Pai

Paper ID: V5I6-1225

Paper Status: published

Published: December 11, 2019

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