College of Engineering, Pune

About: College of Engineering, Pune is a based out in . It is known for research contribution in the topics: Computer science & Sliding mode control. The organization has 4264 authors who have published 3492 publications receiving 19371 citations. The organization is also known as: COEP.

Word net based Method for Determining Semantic Sentence Similarity through various Word Senses

Abstract: Semantic similarity is a confidence score that replicates semantic equivalence between the meanings of two sentences. Determining the similarity among sentences is one of the critical tasks which have a wide-ranging impact in recent NLP applications. This paper presents a method for identifying semantic sentence similarity among sentences using semantic relation of word senses across the different synsets using Wordnet for different part of speech of words. This method firstly detects all the semantic relations (hypernym, hyponym, holonym, meronymy etc.) considering the word as a noun and all the sense relations considering word as a verb from Wordnet respectively. Then it uses common senses between the two sets as Noun and Verb, for two input words for the calculation of semantic word similarity score. As sentence is made up of different words, these word similarity scores have been used for calculation of semantic sentence similarity among the sentences. It is difficult to achieve a high precision score because the exact semantic meanings will not be understood simply. However proposed method outperforms in comparison with existing methods. The evaluation is done for sentences using SemEval-12 Task 6 (TestGold-Set) with respect to human ratings.

Design and implementation of algorithm for DES cryptanalysis

Abstract: With the advent of low cost Field Programmable Gate Arrays (FPGA's), building special purpose hardware for computationally intensive applications has now become possible. Cryptanalysis of block ciphers involves massive computations which are independent of each other and can be instantiated simultaneously so that the solution space is explored at a faster rate. This paper presents the design for Hardware implementation of Data Encryption Standard (DES) cryptanalysis on FPGA using exhaustive key search. Two architectures viz. Iterative and Loop unrolled DES architecture are implemented. The aim of this work is to make cryptanalysis faster and better.

Acoustic Scene Identification for Audio Authentication

Abstract: This paper discusses acoustic scene identification which is a part of audio authentication. The work focuses on extracting different acoustical parameters embedded in the recording that can aid in identifying the claimed environment in a legal investigation. Four different feature sets have been used. Out of these, two feature sets have been extracted from the original speech recording and the other two are based on the reverberation component embedded in the recording. Also, the methodology has been tested on two different classifiers. The methodology has been tested on synthetically created speech recordings in seven different environments. The paper gives a comparative study of classification accuracy obtained with different feature sets and different classifiers.

Algorithm for Secured Online Authentication Using CAPTCHA

Abstract: CAPTCHA stands for Completely Automated Public Turing Tests to Tell Computers and Humans Apart. A CAPTCHA is a program that protects websites against bots –automated scripts by generating and grading tests that humans can pass but current computer programs cannot. For example, humans can read distorted text but current computer programs can't. The threats from bots is growing rapidly and also increasing in technical sophistication causing various types of attacks. These attacks are affecting social aspects of human beings. Human being or legitimate users are cheated by false requests disturbing their social life. This paper aims to provide secured authentification by verifying strength of CAPTCHA. The strength of CAPTCHA can be verified by solving it. The CAPTCHA solving has mainly three steps such as preprocessing, segmentation and character recognition. The input distorted image of CAPTCHA is passed through preprocessing module which removes noise and gives raw image which is then segmented. These segmented characters are recognized using pattern-matching technique achieving 88% accuracy. The result shows that this algorithm provides secured social relevance to avail free Internet services and in turn improve usability of well-claimed CAPTCHA.