Biometric Cloud Services for Web-Based Examinations

Abstract

Biometric recognition may be used in conjunction with human authentication on a smartphone to improve accuracy, reliability, and simplicity, and to aid in fraud prevention and user authentication. While single biometric authentication addresses environmental degradation and sensor noise limitations, and the single point of failure scenario in biometric systems can result in more robust biometric systems, multimodal biometric authentication can improve the accuracy of identification and recognition. The purpose of this research is to propose a facial and speech authentication system that is cloud-based and supports a web-based examination approach. The system enables students' biometrics to be registered, students to be recognized, and student recognition results to be reported. The confusion matrix is used to compare the results of positive and negative detection in various ways, including accuracy score, precision value, and recall value. Adaptive multimodal biometric authentication should be designed and evaluated for further research using the optimal weights for each biometric.

Dynamic Multi-Criteria Decision Making of Graduate Admission Recommender System: AHP and Fuzzy AHP Approaches

“…By combining the digital number of 32 criteria bits from the example in Figure 4, the binary number 01000000000101110000000010011100 represents the integer value 107,524,930,81010. Conversion from binary to base-10 is: 010000000001011100000000100111002 = (0 × 2 31 ) + (1 × 2 30 ) + (0 × 2 29 ) + (0 × 2 28 ) + (0 × 2 27 ) + (0 × 2 26 ) + (0 × 2 25 ) + (0 × 2 24 ) + (0 × 2 23 ) + (0 × 2 22 ) + (0 × 2 21 ) + (1 × 2 20 ) + (0 × 2 19 ) + (1 × 2 18 ) + (1 × 2 17 ) + (1 × 2 16 ) + (0 × 2 15 ) + (0 × 2 14 ) + (0 × 2 13 ) + (0 × 2 12 ) + (0 × 2 11 ) + (0 × 2 10 ) + (0 × 2 9 ) + (0 × 2 8 ) + (1 × 2 7 ) + (0 × 2 6 ) + (0 × 2 5 ) + (1 × 2 4 ) + (1 × 2 3 ) + (1 × 2 2 ) + (0 × 2 1 ) + (0 × 2 0 ) = 107524930810.…”

“…True Positive True Positive + False Negative (7) F1-score is the harmonic mean of precision and recall providing a balanced evaluation metric for the recommender system. F1-score is a practical aim to achieve a balance between the two.…”

“…Users are increasingly exposed to the entirety of the digital universe [7,8] through the prism of their information, knowledge, behaviors, activities, preferences, and interests using recommendation systems [9]. Due to the increase in online information and database systems, a recommender system employing a powerful information filtering technology that allows users to make their own decisions to increase user satisfaction [10] has attracted considerable interest.…”

Development of Mobile Learning English Web Application

“…This article focuses on the collaboration and usage between teachers and parents who play an essential role in helping their children acquire English skills, knowledge, and behaviors, particularly during the COVID-19 pandemic. The pandemic has affected numerous school activities, including student learning, teaching, monitoring, and examining (Rukhiran et al, 2022b). E-learning is a remote instrument that plays a key role in this pandemic and enables schools and universities to facilitate student learning despite the closure of schools and universities (Subedi et al, 2020).…”