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Your search keyword '"Navansh Goel"' showing total 4 results
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4 results on '"Navansh Goel"'

1. Optimised distributed sensor system for covid protocol monitoring using multiprocessor architecture

Author

S. Venkatraman, Navansh Goel, Mohanapriya Singaravelu, Sriram Namana, M. Mohan, and G. Rohith

Subjects
Distributed systems, Sensor systems, Multiprocessor, Multithread, Covid protocol monitoring, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4
Abstract

Covid Protocol Monitoring with Multiprocessor Architecture (CPMMA) is proposed in this study as an approach for implementing a Distributed Sensor System (DSS) for covid protocol monitoring utilising multiprocessor architecture. OpenMP and MPI were used to implement the distributed system's parallel programmes, with the OpenMP code working best when used with 60–100 threads in use. CPMMA distributed sensor data was efficiently processed by a multiprocessor with 16 cores. According to the results, using a multithreaded-multiprocessing architecture and optimised Support Vector Machine classifier, the proposed design greatly enhances computing efficiency. The results of our experiments suggest that our approach may significantly enhance computing performance while also delivering adequate outcomes in a short period of time.

Published
2023
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4. Usability Evaluation of Novel Text CAPTCHA Schemes Based on Colors and Shapes

Author

Tejaswi Kumar, C. Oswald, Navansh Goel, and Siddhant Roy

Subjects
User survey, CAPTCHA, Alphanumeric, business.industry, Computer science, Usability, Internet security, computer.software_genre, ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS, symbols.namesake, Human–computer interaction, Turing test, symbols, business, computer
Abstract

Multiple web platforms are an imminent need of web security mechanisms to prevent vulnerable attacks, automated spammers and breach of data. One such security mechanism is to ensure that only authenticated users access them and one such cybersecurity algorithm is CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart). In this paper, we have designed novel and efficient text CAPTCHA schemes named MACS-TCHA (Manipulation of Alphanumeric characters, Colors and Shapes—Turing test to tell Computers and Human Apart). These CAPTCHAs are developed by manipulating alphanumeric characters, shapes and colors for better usability. Various user survey studies with different factors have evaluated our proposed CAPTCHA with significant improvement in terms of its usability.

Published
2021
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