Informatics Publishing Limited

P. Sripriya ¹, S. Purushothaman ², R. Rajeswari ³

Affiliations
1 Department of MCA, VELS University, Pallavaram, Chennai-600117, IN
2 PET Engineering College, Vallioor, 627117, IN
3 Mother Teresa Women's University, Kodaikanal-624101, IN

Abstract

This paper presents the combined implementation of radial basis function(RBF) along with hidden Markov model (HMM) for human activity recognition. Surveillance cameras are installed in the crowded area in major metropolitan cities in various countries. Sophisticated algorithms are required to identify human walking style to monitor any unwanted behavior that would lead to suspicion. This paper presents the importance of RBF to identify the human GAIT. GAIT is one of the biometrics that can be measured at a distance and useful for security surveillance and biometric applications. The attraction of using GAIT as a biometric is that it is non-intrusive and typifies the motion characteristics specific to an individual. The proposed system attempt to recognize people by modeling each individual's GAIT using HMM. The HMM is a good choice for modeling a walk cycle because it can model sequential processes. This knowledge is used to generate a lower dimensional observation vector sequence which is then used to design a continuous density HMM for each individual

Keywords

GAIT, Human Walking Action, Radial Basis Function, Hidden Markov Model.

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A. Clementeena ¹, P. Sripriya ²

Affiliations
1 Vels University, Chennai – 600117, Tamil Nadu, IN
2 School of computing sciences, Vels University, Chennai – 600117, Tamil Nadu, IN

Abstract

Objectives: The completely automated public Turing tests are used generally to find the difference between the users whether he/she is a human or a bot. Methods: Once the randomly generated characters are held then it is converted into ASCII characters and this method will generate symbols, numbers and alphabets. As this very tedious one which is very difficult to be understood by bots so this method is very effective and robust. Findings: Number of authentication purpose is found out by misplacing the word’s style and fonts. Very simple issues can be solved by this captcha’s approach. The methods are very complicated for humans to understand but on the same side, it is easy for robots to keenly understand. So a new algorithm is used to find understandable captcha’s into tougher one. Also, the LCG algorithm providesonly the designing principles to be followed in it by giving random function use. Application/Improvements: The main improvisation done here is that the application is built with more secure line and its usability is too high

Keywords

ASCII, CAPTCHA, LCG Algorithm.

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B. Nithya ¹, P. Sripriya ²

Affiliations
1 Vels University, Pallavaram, Chennai, Tamil Nadu, IN
2 Department of Computer Applications, Vels University, Pallavaram, Chennai, Tamil Nadu, IN

Abstract

Objectives: To find which cryptographic algorithm would produce fine result. Methods: This survey mainly focuses to an analysis of symmetric cryptographic algorithms DES, 3DES, AES, RC4 in the basis of encryption/decryption time, memory and throughput. Here .net platform has been used to simulate the results to find the best algorithm for text file transmission. Findings: Simulation tests are conducted for text files in different file sizes. These text files are given as input to each specified algorithms and calculated the results. The tests have taken seven different sizes of text files. How the above algorithms affect system resources while encryption and decryption process are explained in this project. The key focus of the project is to find the performance of the algorithms. Applications/Improvements: If the algorithm shows lowest performance in throughput/ memory/encryption time, new algorithm has to be developed to give better performance with all of these metrics.

Keywords

Advanced Encryption Standard, Data Encryption Standard, Decryption Time, Encryption Time, Performance, Throughput.

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