Mepco Schlenk Engineering College

About: Mepco Schlenk Engineering College is a based out in . It is known for research contribution in the topics: Wavelet & Wavelet transform. The organization has 1307 authors who have published 1665 publications receiving 18690 citations.

Defenses to curb online password guessing attacks

Abstract: Passwords are the most commonly used means of authentication as passwords are very convenient for users, easier to implement and user friendly. Password based systems suffer from two types of attacks: i) offline attacks ii) online attacks. Eavesdropping the communication channel and recording the conversations taking place on the communication channel is an example for offline attack. Brute force and dictionary attacks are the two types of online attacks which are widespread and increasing. Enabling convenient login for legitimate users while preventing such attacks is a difficult problem. The proposed protocol called Password Guessing Resistant Protocol (PGRP), helps in preventing such attacks and provides a pleasant login experience for legitimate users. PGRP limits the number of login attempts for unknown users to one, and then challenges the unknown user with an Automated Turing Test (ATT). There are different kinds of ATT tests such as CAPTCHA (Completely Automated Public Turing Test to tell Computers and Humans Apart), security questions etc. In this system, a distorted text-based CAPTCHA is used. If the ATT test is correctly answered, the user is granted access else the user is denied access. The proposed algorithm analyzes the efficiency of PGRP based on three conditions: i) number of successful login attempts ii) number of failed login attempts with invalid password iii) number of failed login attempts with invalid password and ATT test. PGRP log files are used as data sets. The analysis helps in determining the efficiency of PGRP protocol.

Automatic license plate recognition

Abstract: License plate recognition (LPR) is a technology that enables computer systems to read automatically the registration number (license number) of vehicles from digital pictures. This paper deals with the recognition of Indian car license plate recognition. The LPR system consists of four steps Plate Localization, Preprocessing, Segmentation and Normalization and Optical Character Recognition (OCR). Morphological operator is applied to the image to identify the plate location. Then the plate region is then preprocessed by applying the histogram equalization technique. The smearing and morphological algorithms are used to segment the characters and the segmented result is normalized and fed to the OCR part. The characters are then recognized using the template matching algorithm.

Alkyd resin based hydrophilic self-cleaning surface with self-refreshing behaviour as single step durable coating.

Abstract: Herein, we reported the photo-catalytic degradation/anti-bacterial property of Ag-doped ZnO nanoparticles (SDZO Nps) prepared by a facile gel-combustion technique and its self-cleaning/self-refreshing/self-disinfectant behaviour while on impregnating as pigment into the alkyd resin based coating. The influence of doping Ag (1% & 2%) with ZnO has been evaluated in terms of crystal structure, morphology, optical properties, etc. using X-ray diffraction analysis, Field Emission Scanning Electron Microscope, UV–Vis analysis, and Photoluminescence spectra. The photo-catalytic degradation of crystal violet solution by SDZO Nps is spectroscopically followed employing UV–Vis spectroscopy. From the obtained results, the rate of degradation of 1% SDZO Nps is found higher than that of other samples under sunlight illumination; degrading 1 mg of crystal violet in 30 min. Thus, implementing the synergic effect of nano ZnO and the doped Ag provides a suitable pathway for the development of high efficient photo-catalyst. Further, alkyd resin based self-cleaning coating is formulated using 1% SDZO Nps as pigment along with other additives; the contents are milled to form a homogeneous mixture by high energy ball milling technique. Crystal violet solution coated over dried alkyd coating gets decolorized on exposure to sunlight indicating the mineralization of pollutants and proves the fact that the as obtained coating possess self-cleaning nature. Besides the self-cleaning property, the coating exhibits self-refreshing property which is essential for the long lasting self-cleaning activity. Further, the disinfectant properties of 1% SDZO Nps and 1% SDZO Nps impregnated coating have been evaluated against gram negative Escherichia coli bacterial strain. The acquired experimental outcomes suggest the potential use of self-cleaning coating to keep the environment clean and hygienic economically.

Image recognition for visually impaired people by sound

Abstract: The aim of this paper is to represent a method where a blind person can get information about the shape of an image through speech signal. In this paper we proposed an algorithm for image recognition by speech sound. Blind people face a number of challenges when interacting with their environments because so much information is encoded visually. The proposed method enables the visually impaired people to see with the help of ears. The novelty of this paper is to convert the image to sound using the methodology of edge detection.