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Robust Facial Biometric Authentication System Using Pupillary Light Reflex for Liveness Detection of Facial Images

computer Modeling in Engineering & sciences 2024年第4期139卷 725-739页

作者： Puja S.Prasad Adepu Sree Lakshmi Sandeep Kautish Simar Preet Singh Rajesh Kumar Shrivastava Abdulaziz S.Almazyad Hossam M.Zawbaa Ali Wagdy Mohamed CSE Department Geethanjali College of EngineeringHyderabadTelangana501301India Department of Computer Science LBEF CampusKathmandu44600Nepal School of Computer Science Engineering and Technology(SCSET) Bennett UniversityGreater Noida201310India Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia CeADAR Ireland’s Centre for AI Technological University DublinDublinD07 EWV4Ireland Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan

Pupil dynamics are the important characteristics of face spoofing *** face recognition system is one of the most used biometrics for authenticating individual *** main threats to the facial recognition system are different types of presentation attacks like print attacks,3D mask attacks,replay attacks,*** proposed model uses pupil characteristics for liveness detection during the authentication *** pupillary light reflex is an involuntary reaction controlling the pupil’s diameter at different light *** proposed framework consists of two-phase *** the first phase,the pupil’s diameter is calculated by applying stimulus(light)in one eye of the subject and calculating the constriction of the pupil size on both eyes in different video *** above measurement is converted into feature space using Kohn and Clynes model-defined *** Support Vector Machine is used to classify legitimate subjects when the diameter change is normal(or when the eye is alive)or illegitimate subjects when there is no change or abnormal oscillations of pupil behavior due to the presence of printed photograph,video,or 3D mask of the subject in front of the *** the second phase,we perform the facial recognition ***-invariant feature transform(SIFT)is used to find the features from the facial images,with each feature having a size of a 128-dimensional *** features are scale,rotation,and orientation invariant and are used for recognizing facial *** brute force matching algorithm is used for matching features of two different *** threshold value we considered is 0.08 for good *** analyze the performance of the framework,we tested our model in two Face antispoofing datasets named Replay attack datasets and CASIA-SURF datasets,which were used because they contain the videos of the subjects in each sample having three modalities(RGB,IR,Depth).The CASIA-SURF datasets showed an 89.9%Equal Err

关键词： SIFT pupil CASIA-SURF pupillary light reflex replay attack dataset brute force

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Smart-Fragile Authentication Scheme for Robust Detecting of Tampering Attacks on English Text

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computers, Materials & Continua 2022年第5期71卷 2497-2513页

作者： Mohammad Alamgeer Fahd N.Al-Wesabi Huda G.Iskandar Imran Khan Nadhem Nemri Mohammad Medani Mohammed Abdullah Al-Hagery Ali Mohammed Al-Sharafi Department of Information Systems King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaMalaysia Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaKSA

Content authentication,integrity verification,and tampering detection of digital content exchanged via the internet have been used to address a major concern in information and communication *** this paper,a text zero-watermarking approach known as Smart-Fragile Approach based on Soft Computing and Digital Watermarking(SFASCDW)is proposed for content authentication and tampering detection of English text.A first-level order of alphanumeric mechanism,based on hidden Markov model,is integrated with digital zero-watermarking techniques to improve the watermark robustness of the proposed *** researcher uses the first-level order and alphanumeric mechanism of Markov model as a soft computing technique to analyze English ***,he extracts the features of the interrelationship among the contexts of the text,utilizes the extracted features as watermark information,and validates it later with the studied English text to detect any *** has been implemented using PHP with VS code *** robustness,effectiveness,and applicability of SFASCDW are proved with experiments involving four datasets of various lengths in random locations using the three common attacks,namely insertion,reorder,and *** SFASCDW was found to be effective and could be applicable in detecting any possible tampering.

关键词： Watermarking soft computing text analysis hidden Markov model content authentication

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Genre Classification of Movie Trailers using Spectrogram Analysis and Machine Learning

Genre Classification of Movie Trailers using Spectrogram Ana...

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International Black Sea Conference on Communications and Networking (BlackSeaCom)

作者： Porawat Visutsak Fuangfar Pensiri Ponrudee Netisopakul Navapoom Punsathit Pongkorn Rojsuwan Maywadee Phuthong Worapol Khanthawat Wittawat Prommanee Kanthong Jearaphan Tawichai Saekua Tichaporn Anantaprueksa Napas Kavalee Naravitch Sukkokee Nanticha Kingket Prapassorn Teeravas Patchara Nimmonrat Patcharada Yungyuen Pattareeya Nurltes Ratchanon Wongpanti Sekson Hompangwhai Haritchaya Sutthikawee Apichai Siangchin Department of Computer and Information Science Faculty of Applied Science KMUTNB Bangkok Thailand Department of Computer Science and Information Faculty of Science at Sriracha Kasetsart University Chonburi Thailand Faculty of Information Technology KMITL Bangkok Thailand

ISBN: (数字)9798350351859

ISBN: (纸本)9798350351866

This study investigates the application of machine learning for movie trailer genre classification using spectrogram analysis. Spectrograms, visual representations of a signal's frequency content over time, are extracted from movie trailers. Convolutional Neural Networks (CNNs), known for their image recognition capabilities, are employed to analyze these spectrograms and identify patterns that distinguish between different genres. Our approach is compared to a Random Forest model for performance evaluation. The models are trained on a dataset of movie trailers categorized into five genres: action, romance, drama, comedy, and thriller. Librosa, a Python library, is utilized for audio pre-processing, while the overall training process is conducted within the Python environment. This paper explores the potential of machine learning in conjunction with spectrogram analysis for effective movie trailer genre classification.

关键词： Training Performance evaluation Visualization Time-frequency analysis Humanities Image recognition Motion pictures

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Enhancing Early Detection of Lung Cancer through Advanced Image Processing Techniques and Deep Learning Architectures for CT Scans

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computers, Materials & Continua 2024年第10期81卷 271-307页

作者： Nahed Tawfik Heba M.Emara Walid El-Shafai Naglaa F.Soliman Abeer D.Algarni Fathi EAbd El-Samie Computers and Systems Department Electronics Research InstituteEl NozhaHuckstep Cairo12622Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Lung cancer remains a major concern in modern oncology due to its high mortality rates and multifaceted origins,including hereditary factors and various clinical *** stands as the deadliest type of cancer and a significant cause of cancer-related deaths *** diagnosis enables healthcare providers to administer appropriate treatment measures promptly and accurately,leading to improved prognosis and higher survival *** significant increase in both the incidence and mortality rates of lung cancer,particularly its ranking as the second most prevalent cancer among women worldwide,underscores the need for comprehensive research into efficient screening *** in diagnostic techniques,particularly the use of computed tomography(CT)scans,have revolutionized the identification of lung *** scans are renowned for their ability to provide high-resolution images and are particularly effective in detecting small,calcified areas,crucial for identifying earlystage lung ***,there is growing interest in enhancing computer-aided detection(CAD)*** algorithms assist radiologists by reducing false-positive interpretations and improving the accuracy of early cancer *** study aims to enhance the effectiveness of CAD systems through various ***,the Contrast Limited Adaptive Histogram Equalization(CLAHE)algorithm is employed to preprocess CT scan images,thereby improving their visual *** refinement is achieved by integrating different optimization strategies with the CLAHE *** CutMix data augmentation technique is applied to boost the performance of the proposed model.A comparative analysis is conducted using deep learning architectures such as InceptionV3,ResNet101,Xception,and *** study evaluates the performance of these architectures in image classification tasks,both with and without the implementation of the CLAHE *** empirical findings of the study demonst

关键词： Lung cancer detection CLAHE algorithm optimization deep learning classification feature extraction healthcare applications

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Handling The Common Method Variance/Bias (CMV/CMB) in Cross-Sectional Research: A Systematic Literature Review and Bibliometric Analysis

Handling The Common Method Variance/Bias (CMV/CMB) in Cross-...

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International Conference on Informatics, Multimedia, Cyber and information System (ICIMCIS)

作者： Artika Arista Liyana Shuib Maizatul Akmar Ismail Information Systems Faculty of Computer Science Universitas Pembangunan Nasional Veteran Jakarta Jakarta Indonesia Department of Information Systems Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia

ISBN: (数字)9798331533243

ISBN: (纸本)9798331533250

Concerns over the validity of survey research have grown among editors, reviewers, and authors in recent years. Common method variance (CMV) is one of the main problems. Common method variance (CMV), which measures the amount of misleading covariance shared between variables as a result of the common data collecting method, is one of the main problems. Because CMV has not been extensively studied by IS researchers. Thus, IS experts are still uncertain about this. The current study intends to address the following research issues and add to the ongoing discussion about how common method variance/bias (CMV/CMB) in cross-sectional research is handled. Eight related research studies were analyzed and assessed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach and VOSviewer's Bibliometric Analysis feature. The findings show that over time, one paper has consistently been published year. This is perhaps because managing common method variance/bias (CMV/CMB) in cross-sectional research is not a topic that most researchers and academics are particularly interested in. As suggested by a number of the above suggestions, common method variance/bias (CMV/CMB) in cross-sectional research can be addressed by (1) employing a large number of respondents; (2) obtaining multiple forms of data (i.e., triangulation approach); and (3) gathering data over multiple periods of time (i.e., longitudinal data).

关键词： Surveys Soft sensors Current measurement Bibliometrics Organizations Multimedia databases Machinery Informatics Systematic literature review

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Analyzing the Behavioral Aspects of Implementing Green IT in an Academic Environment 8

Analyzing the Behavioral Aspects of Implementing Green IT in...

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8th International Conference on information Management and Technology, ICIMTech 2023

作者： Syamsuar, Dedy Triando, Fero Ulfa, Maria Antoni, Darius Mailangkay, Adele Witarsyah, Deden School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Universitas Bina Darma Postgradute Department Palembang Indonesia Universitas Bina Darma Information System Study Program Computer Science Faculty Palembang Indonesia Universitas Indo Global Mandiri Faculty of Computer Science Palembang Indonesia School of Industrial Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9798350326093

Environmental awareness has recently emerged as one of the most crucial topics. As a result, various groups advocate for these technologies and research ways to promote their usage in various contexts. This study examines the factors influencing the intention and use of green technology among academics. This study integrates Price Value (PV) and Consideration of future consequence (CFC) to Theory Planned Behavior (TPB) as a theoretical basis. Two hundred five valid replies were gathered and processed through statistical analysis. The results of this study partly support the developed hypotheses. Four hypotheses developed from TPB have presented significant relationships. However, PV and CFC were not. The findings indicate that individuals in this study did not consider CFC or PV of green IT products as critical factors in their decision-making process. Findings also suggest that for implementation success, competent parties must consider the campaign to increase individual awareness and provide financial support regarding environmental policy. © 2023 IEEE.

关键词： Decision making

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EQUILIBRIA AND STABILITY OF ONE MESSENGER RNA AND TWO MICRO RNA DYNAMICS

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UPB Scientific Bulletin, Series A: applied Mathematics and Physics 2022年第4期84卷 3-8页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

In this paper we study an ODE model on the microRNA-mRNA dynamics. We prove the existence of two equilibrium points (one with strictly positive compo-nents) and obtain a biologically consistent, sufficient asymptotic stability condition for the strictly positive equilibrium. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Asymptotic stability

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Developing Healthcare Chatbot: Migrant Workers' Study With Design Implication 8

Developing Healthcare Chatbot: Migrant Workers' Study With D...

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8th International Conference on Business and Industrial Research, ICBIR 2023

作者： Jarupreechachan, Weerachaya Surasak, Thattapon Kasetsart University Faculty of Engineering at Kamphaeng Saen Department of Computer Engineering Kamphaeng Saen Campus Nakhon Pathom Thailand King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Computer and Information Science Bangkok Thailand

ISBN: (纸本)9798350399646

Migrant workers are often those with low income who are subject to a high risk of virus transmission due to environmental and occupational exposures. The COVID-19 pandemic is reported to exacerbate the existing vulnerabilities of these marginalized groups. This study aims to shed light on how the potential of a conversational agent (Chatbot) could help improve migrant workers' health information seeking and health literacy. The exploration extended to the existing barriers to seeking health information strategies to obtain the needed information during COVID-19. This study conducted an exploratory qualitative study using semi-structured interviews with a scenario-based approach to study the experiences of the migrant Thai low-income workers in Taiwan. A total of 12 Thai stakeholders and migrant workers participated in the study. Migrant Thai workers developed distinct health information behaviors and improved various types of health competencies amid the COVID-19 pandemic. However, the critical barriers to health literacy remain. As a result, this work found that the Chatbot posted several potential features that could improve health literacy on Access. Therefore, Apprise and Apply depend on the understanding, which can be enhanced if the understanding rate increases. This study addresses the need for the development of the potential of a conversational agent. The findings of this study would guide the authority and technological interventions to respond to migrant workers' health information needs with appropriate tools. © 2023 IEEE.

关键词： COVID-19

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Toward IoT and Data Analytics for the Chicken Welfare using RFID Technology 19

Toward IoT and Data Analytics for the Chicken Welfare using ...

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19th International Conference on Electrical Engineering/Electronics, computer, Telecommunications and information Technology, ECTI-CON 2022

作者： Sriharee, Gridaphat Khongban, Phakkaphong Wongpipan, Kraivit King Mongkut's University of Technology Faculty of Applied Science Department of Computer and Information Science North Bangkok Thailand

ISBN: (纸本)9781665485845

This research proposed the application of IoT and data analytics for monitoring the chicken welfare on the poultry farm. The need of using RFID technology to manage the poultry farm was analyzed and reported in this work. The software application and architecture for the poultry farm management were designed, and it included a mobile application and a web application. The selection of IoT devices and some equipment to support the health monitoring of the chicken were investigated for the experiment. The feasibility study of applying the RFID technology for food intake monitoring was studied, and the prior result of data analytics was discussed. With the provided software application, RFID technology is a promising technology for enhancing animal welfare. © 2022 IEEE.

关键词： Data Analytics

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Handling The Common Method Variance/Bias (CMV/CMB) in Cross-Sectional Research: A Systematic Literature Review and Bibliometric Analysis 6

Handling The Common Method Variance/Bias (CMV/CMB) in Cross-...

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6th International Conference on Informatics, Multimedia, Cyber and information System, ICIMCIS 2024

作者： Arista, Artika Shuib, Liyana Ismail, Maizatul Akmar Universitas Pembangunan Nasional Veteran Jakarta Information Systems Faculty of Computer Science Jakarta Indonesia Universiti Malaya Faculty of Computer Science and Information Technology Department of Information Systems Kuala Lumpur Malaysia

ISBN: (纸本)9798331533243

Concerns over the validity of survey research have grown among editors, reviewers, and authors in recent years. Common method variance (CMV) is one of the main problems. Common method variance (CMV), which measures the amount of misleading covariance shared between variables as a result of the common data collecting method, is one of the main problems. Because CMV has not been extensively studied by IS researchers. Thus, IS experts are still uncertain about this. The current study intends to address the following research issues and add to the ongoing discussion about how common method variance/bias (CMV/CMB) in cross-sectional research is handled. Eight related research studies were analyzed and assessed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach and VOSviewer's Bibliometric Analysis feature. The findings show that over time, one paper has consistently been published year. This is perhaps because managing common method variance/bias (CMV/CMB) in cross-sectional research is not a topic that most researchers and academics are particularly interested in. As suggested by a number of the above suggestions, common method variance/bias (CMV/CMB) in cross-sectional research can be addressed by (1) employing a large number of respondents;(2) obtaining multiple forms of data (i.e., triangulation approach);and (3) gathering data over multiple periods of time (i.e., longitudinal data). © 2024 IEEE.

关键词： Common Method Bias (CMB) Common Method Variance (CMV) Cross-Sectional Research Survey Systematic Literature Review

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