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49 results on '"Mano Paul"'

1. Design of Grover’s Algorithm over 2, 3 and 4-Qubit Systems in Quantum Programming Studio

Author

Diana Jingle, Shylu Sam, Mano Paul, Ananth Jude, and Daniel Selvaraj

Subjects
quantum search, oracle, qubit, hadamard transform, phase shift, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Telecommunication, TK5101-6720
Abstract

In this paper, we design and analyse the Circuit for Grover’s Quantum Search Algorithm on 2, 3 and 4-qubit systems, in terms of number of gates, representation of state vectors and measurement probability for the state vectors. We designed, examined and simulated the quantum circuit on IBM Q platform using Quantum Programming Studio. We present the theoretical implementation of the search algorithm on different qubit systems. We observe that our circuit design for 2 and 4-qubit systems are precise and do not introduce any error while experiencing a small error to our design of 3-qubit quantum system.

Published
2022
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2. Enhancing Visual Passwords Using a Grid-Based Graphical Password Authentication to Mitigate Shoulder Surfing

Author

Mano Paul, P., Berin Jeba Jingle, I., Diana Jeba Jingle, I., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kumar, Sandeep, editor, Balachandran, K., editor, Kim, Joong Hoon, editor, and Bansal, Jagdish Chand, editor

Published
2024
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3. Optimised convolutional neural network model for multiclass acute lymphoblastic leukemia classification in in peripheral blood smear images.

Author

Shrivastava, Virendra Kumar, Shelke, Chetan J., Achary, Rathnakar, David, Mano Paul Pauliah, Soliman, Abdel-Hamid, and Kumar, Ajay

Subjects
ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, LYMPHOBLASTIC leukemia, IMAGE recognition (Computer vision), ACUTE leukemia
Abstract

The aberrant synthesis of immature white blood cells in the bone marrow results in acute lymphoblastic leukaemia (ALL), a deadly form of blood cancer. Children and teenagers are the main groups impacted. Improving survival rates and reducing complications from acute lymphoblastic leukaemia depend on early diagnosis of the disease. It has proven possible to identify cancer cells in acute lymphoblastic leukaemia instances using a variety of image classification techniques. Convolutional neural networks (CNN) and deep learning (DL) are two of the techniques that have shown promise in automating the detection process. However, there are several feature extraction issues with the current approaches. To overcome these drawbacks, an optimised CNN to classify acute lymphoblastic leukaemia without the use of manual feature extraction and selection techniques, a pre-trained CNN-based deep network architecture employed that extract features automatically. This strategy intends to increase the accuracy of acute lymphoblastic leukaemia categorization. To classify Acute Lymphoblastic Leukemia disease, the Kaggle repository dataset of peripheral blood smear images is used. 3242 images from 89 suspected patients make up this collection. The suggested model has achieved 99.23% classification and prediction accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
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7. A Fog-Based Retrieval of Real-Time Data for Health Applications

Author

Diana Jeba Jingle, I., Mano Paul, P., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharyya, Siddhartha, editor, Mršić, Leo, editor, Brkljačić, Maja, editor, Varghese Kureethara, Joseph, editor, and Koeppen, Mario, editor

Published
2021
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13. A Collaborative Reputation-Based Vector Space Model for Email Spam Filtering

Author

R. Ravi and P. Mano Paul

Subjects
0209 industrial biotechnology, Information retrieval, Computer science, Email spam, InformationSystems_INFORMATIONSYSTEMSAPPLICATIONS, media_common.quotation_subject, 02 engineering and technology, General Chemistry, Condensed Matter Physics, Computational Mathematics, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, Vector space model, 020201 artificial intelligence & image processing, General Materials Science, Electrical and Electronic Engineering, Reputation, media_common
Abstract

In this paper, we propose a novel Collaborative Reputation-based Vector Space Model (CRVSM) for detection of spam email. CRVSM uses a vector space model for representing the feature vectors in multidimensional vector space in order to detect the spam emails in large space. We cluster the emails into five clusters so as to reduce the email spam detection time. To reduce the number of false positives and false negatives, we calculate maximum similarity measure with maximum and minimum threshold range. Moreover we use a reputation evaluation function which determines the reporter's trust level in validating an email as spam or non-spam. The CRVSM approach achieves good efficiency while obtaining good reputation result in Email spam detection. The performance of CRVSM model has been evaluated using metrics such as false positive rate, false negative rate, detection accuracy and detection time. The performance results clearly show that CRVSM accurately detects the incoming emails as spam or non-spam with less FPR and FNR values thereby achieving a high efficiency with short detection time and outperforms the existing detection protocols.

Published
2018
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16. A Collaborative Defense Protocol against Collaborative Attacks in Wireless Mesh Networks

Author

I. Diana Jeba Jingle and P. Mano Paul

Subjects
Wireless mesh network, Transmission (telecommunications), Wireless broadband, Computer science, business.industry, Management of Technology and Innovation, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Transport layer, Management Science and Operations Research, Business and International Management, business, Protocol (object-oriented programming), Computer network
Abstract

Wireless mesh network is an evolving next generation multi-hop broadband wireless technology. Collaborative attacks are more severe at the transport layer of such networks where the transmission co...

Published
2021
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18. Secure Software Design

Author

Mano Paul

Subjects
Resource-oriented architecture, business.industry, Computer science, Component-based software engineering, Software construction, Software development, Software design, Software requirements, business, Software engineering, Software design description, Secure by design
Published
2016
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22. Official (ISC)2 Guide to the CSSLP CBK

Author

Mano Paul and Mano Paul

Subjects
Computer security, Computer software--Development, Computer software--Reliability
Abstract

Application vulnerabilities continue to top the list of cyber security concerns. While attackers and researchers continue to expose new application vulnerabilities, the most common application flaws are previous, rediscovered threats. The text allows readers to learn about software security from a renowned security practitioner who is the appointed software assurance advisor for (ISC)2. Complete with numerous illustrations, it makes complex security concepts easy to understand and implement. In addition to being a valuable resource for those studying for the CSSLP examination, this book is also an indispensable software security reference for those already part of the certified elite. A robust and comprehensive appendix makes this book a time-saving resource for anyone involved in secure software development.

Published
2014

23. The 7 Qualities of Highly Secure Software

Author

Mano Paul and Mano Paul

Subjects
Computer security
Abstract

The 7 Qualities of Highly Secure Software provides a framework for designing, developing, and deploying hacker-resilient software. It uses engaging anecdotes and analogies-ranging from Aesop's fables, athletics, architecture, biology, nursery rhymes, and video games-to illustrate the qualities that are essential for the development of highly secure

Published
2012

25. Appendix C

Author

Mano Paul

Subjects
Engineering, medicine.anatomical_structure, business.industry, Threat model, medicine, Computer security, computer.software_genre, business, computer, Appendix
Published
2013
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26. Appendix D

Author

Mano Paul

Subjects
medicine.anatomical_structure, Computer science, Programming language, Opcode, medicine, computer.software_genre, computer, Appendix
Published
2013
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27. Appendix A

Author

Mano Paul

Subjects
medicine.anatomical_structure, History, medicine, Library science, Appendix
Published
2013
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28. Appendix F

Author

Mano Paul

Subjects
medicine.anatomical_structure, Computer science, medicine, Computer security, computer.software_genre, Security testing, computer, Appendix
Published
2013
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29. Secure Software Testing

Author

Mano Paul

Subjects
business.industry, Software deployment, Computer science, Software testing, Software construction, Package development process, Software performance testing, Software verification and validation, Software reliability testing, Software engineering, business, System integration testing
Published
2013
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30. Appendix E

Author

Mano Paul

Subjects
business.industry, Programming language, Computer science, Artificial intelligence, business, computer.software_genre, computer
Published
2013
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31. Appendix B

Author

Mano Paul

Subjects
medicine.anatomical_structure, Computer science, medicine, Computer security model, Computer security, computer.software_genre, computer, Appendix
Published
2013
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32. Secure Software Concepts

Author

Mano Paul

Subjects
Social software engineering, Resource-oriented architecture, Database, business.industry, Computer science, Software development, computer.software_genre, Software framework, Software construction, Software design, Software system, business, Software engineering, computer
Published
2013
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33. Official (ISC)2 Guide to the CSSLP

Author

Mano Paul and Mano Paul

Subjects
Computer software--Development, Computer security
Abstract

As the global leader in information security education and certification, (ISC)2 has a proven track record of educating and certifying information security professionals. Its newest certification, the Certified Secure Software Lifecycle Professional (CSSLP) is a testament to the organization's ongoing commitment to information and software security

Published
2011

35. Quality #4

Author

Mano Paul

Subjects
Computer science, media_common.quotation_subject, Quality (business), Environmental economics, media_common
Published
2012
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36. Quality #1

Author

Mano Paul

Subjects
Engineering, business.industry, media_common.quotation_subject, Forensic engineering, Quality (business), business, Construction engineering, media_common
Published
2012
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37. Quality #2

Author

Mano Paul

Subjects
Engineering management, Computer science, media_common.quotation_subject, Systems engineering, Quality (business), Plan (drawing), media_common
Published
2012
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38. Quality #3

Author

Mano Paul

Subjects
Process management, Computer science, media_common.quotation_subject, Quality (business), media_common
Published
2012
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39. Quality #7

Author

Mano Paul

Subjects
Risk analysis (engineering), Computer science, media_common.quotation_subject, Quality (business), media_common
Published
2012
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40. Secure Software Requirements

Author

Mano Paul

Subjects
Software deployment, Computer science, business.industry, Software construction, Software development, Software requirements specification, Package development process, Software requirements, Software verification and validation, business, Software engineering, Software verification
Published
2011
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49. Design of Low–power 4-bit Flash ADC Using Multiplexer Based Encoder in 90nm CMOS Process

Author

D. S. Shylu Sam, P. Sam Paul, Diana Jeba Jingle, P. Mano Paul, Judith Samuel, J. Reshma, P. Sarah Sudeepa, and G. Evangeline

Subjects
flash adc, low power, dynamic comparator, encoder, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Telecommunication, TK5101-6720
Abstract

This work describes a 4-bit Flash ADC with low power consumption. The performance metrics of a Flash ADC depend on the kind of comparator and encoder used. Hence openloop comparator and mux-based encoder are used to obtain improved performance. Simulation results show that the simulated design consumes 0.265mW of power in 90nm CMOS technology using cadence-virtuoso software. The circuit operates with an operating frequency of 100MHz and a supply voltage of 1V.

Published
2022
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