IoT-Inspired Reliable Irregularity-Detection Framework for Education 4.0 and Industry 4.0

Abstract

Education 4.0 imitates Industry 4.0 in many aspects such as technology, customs, challenges, and benefits. The remarkable advancement in embryonic technologies, including IoT (Internet of Things), Fog Computing, Cloud Computing, and Augmented and Virtual Reality (AR/VR), polishes every dimension of Industry 4.0. The constructive impacts of Industry 4.0 are also replicated in Education 4.0. Real-time assessment, irregularity detection, and alert generation are some of the leading necessities of Education 4.0. Conspicuously, this study proposes a reliable assessment, irregularity detection, and alert generation framework for Education 4.0. The proposed framework correspondingly addresses the comparable issues of Industry 4.0. The proposed study (1) recommends the use of IoT, Fog, and Cloud Computing, i.e., IFC technological integration for the implementation of Education 4.0. Subsequently, (2) the Symbolic Aggregation Approximation (SAX), Kalman Filter, and Learning Bayesian Network (LBN) are deployed for data pre-processing and classification. Further, (3) the assessment, irregularity detection, and alert generation are accomplished over SoTL (the set of threshold limits) and the Multi-Layered Bi-Directional Long Short-Term Memory (M-Bi-LSTM)-based predictive model. To substantiate the proposed framework, experimental simulations are implemented. The experimental outcomes substantiate the better performance of the proposed framework, in contrast to the other contemporary technologies deployed for the enactment of Education 4.0.

Recurrent Neural Network (RNN) Inference Cloud Computing

“…Using network traffic, log data, and user behavior, the approach addresses the growing concern about unauthorized access and security breaches in cloud environments by identifying anomalous activity and proactively mitigating potential hazards. The author Anil Verma , Divya Anand and others (2022) of the study [38] presents an irregularity-detection system for Industry 4.0 and Education 4.0 that is inspired by the Internet of Things. It detects anomalies in industrial and educational processes using machine learning, analytics, and real-time data collection.…”

Increasing interdisciplinarity and science interest on the undergraduate students: the use of an algorithmic ignitor and low-cost sensors in cloud computing

“…The Industry 4.0 also requires new employees and entrepreneurships; thus, engineering education must comply with and, in order to do so, one important tool is the cloud services. On this scenario, Verma [10] et al "recommends the involvement of IoT sensor-based data acquisition methods, AIbased data classification and integration methods over fog nodes". Thus IoT, Fog, and Cloud, constitute three layers of a framework: 1)The Physical Layer or IoT Layer; 2)The Fog Layer and 3)The Cloud Layer.…”

“…Verma et al [10] Demonstrates that Education 4.0 reproduces the bias of Industry 4.0 in its challenges and technologies, even embryonic ones. It considers as applicable technologies, the concepts of Internet of Things, Fog Computing, Cloud Computing and Pervasive Computing.…”