Special Issue on Innovation in Computing, Engineering Science & Technology 2024-25
Contents
Special Issue Editors
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Role: Guest Editor Department of Electrical Engineering, Chongqing University, China |
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Role: Guest Editor Department of Electrical Engineering, Chongqing Normal University, China |
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Role: Guest Editor Industrial Division, Universidad Tecnológica Metropolitana, Mexico |
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Role: Guest Editor Department of Robotics and Automation, Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Malaysia |
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Role: Guest Editor Department of Electrical Engineering, College of Engineering, University of Hail, Saudi Arabia |
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Role: Guest Editor Engineering Technologies Department, John Abbott College, Canada |
Special Issue Information
The Special Issue on Innovation in Computing, Engineering Science & Technology 2024–25 invites original research articles, review papers, and interdisciplinary studies addressing emerging innovations in computing technologies, intelligent engineering systems, and advanced scientific applications. The issue focuses on the convergence of artificial intelligence, machine learning, sustainable engineering, smart infrastructure, cybersecurity, communication systems, digital transformation, and data-driven methodologies to address modern industrial and societal challenges. Contributions related to IoT, cyber-physical systems, advanced manufacturing, healthcare technologies, renewable energy systems, blockchain, edge computing, intelligent automation, and human-centered technologies are particularly encouraged. The special issue aims to provide a collaborative platform for researchers, engineers, scientists, and practitioners to present innovative theoretical frameworks, simulation models, experimental investigations, and real-world implementations that support adaptive, resilient, secure, and sustainable technological ecosystems.
Manuscript Submission Overview
Submission Process
Manuscripts should be submitted online through the ASTESJ submission system by registering and logging in to the system. Once registered, authors may submit manuscript until the special issue deadline. All submissions that pass the initial editorial and technical screening are sent for independent external peer review. Accepted papers are published online after acceptance and listed together on the special issue website.
Research articles, review articles, and technical notes are invited. For planned papers, a title and short abstract of about 250 words may be sent to the Editorial Office for an initial scope check.
- You can download the Online Submission Guidelines for the step-wise submission process.
- During Online submission, authors must select Special Issue Paper from the Track menu and then select SI on Innovation in Computing, Engineering Science & Technology 2024–25 in Special Issue/Selection.
- In the cover letter section, the author must specify the topic from the above list (minimum 1 with maximum 3) and also write the Invitation code in it.
Important Dates:
- Paper Submission Deadline: closed (September 30, 2024)
- Acceptance Notification: 4-6 weeks (after submission)
- Publication Date: 2 weeks after acceptance
Submitted manuscripts must not have been published previously and must not be under consideration for publication elsewhere, except where a related conference version is fully disclosed and properly extended. Authors should review the Instructions for Authors, Editorial Process, Publishing Ethics, Open Access Policy, and Publication Fee pages before submission.
Formatting and Language
For initial submission, ASTESJ journal formatting is not required. The manuscript should be clear, anonymized for review, and organized using the IMRaD structure where applicable: Introduction, Methods, Results, and Discussion.
Submitted papers should be written in good English, use SI units where applicable, define abbreviations at first use, and provide enough technical detail for editorial screening and external peer review. Authors may use the ASTESJ template package when preparing revised or final files.
There is no submission fee. Article processing charges, discount options, waiver options, and any page charges are described on the Publication Fee page.
Benefits of Publishing in this Special Issue
- Focused visibility: accepted papers are grouped under a clearly defined ASTESJ special issue theme.
- Easy navigation: readers can access the special issue call, Special Issue Editors, topics, and published papers from one page.
- Topic-level discoverability: each article remains linked to the special issue page, section page, DOI, PDF, and article metadata.
- Same journal standards: all submissions follow ASTESJ editorial screening, independent peer review, publication ethics, and final editorial decision rules.
- Continuous publication: accepted papers can be published online after acceptance and then listed together under the special issue page.
Special issue submissions follow the same editorial screening, independent peer review, publication ethics, and final decision standards as regular ASTESJ submissions. Guest Editor involvement does not guarantee acceptance and does not replace independent peer review or final editorial decision-making.
Published Papers (11 papers)

This special issue presents interdisciplinary research contributions focused on computing technologies, engineering science, and intelligent digital systems. The published papers investigate machine learning applications, smart manufacturing, cybersecurity frameworks, hardware-based random number generation, cryptographic systems, healthcare monitoring, augmented reality-assisted assembly systems, renewable energy management, lightning detection for wind turbines, elderly fall analysis using CNN-LSTM models, and digital health management systems. Additional studies address programming education technologies, adversarial robustness in neural networks, industrial process optimization, collaborative robotics, sustainable engineering practices, and intelligent detection systems. The issue demonstrates how the integration of computational intelligence, engineering methodologies, and advanced digital technologies supports the development of adaptive, secure, efficient, and sustainable solutions for modern industrial, technological, healthcare, and societal challenges.
Download Complete IssueFront Cover
Editorial Board
Editorial
Table of Contents
Lightning Detection System for Wind Turbines Using a Large-Diameter Rogowski Coil
A lightning detection system based on a large-diameter Rogowski coil and an analog integrator was developed for wind turbine applications and is presented in this paper. To accurately detect lightning current, the Rogowski coil was designed with a lower cutoff frequency of 0.1 Hz. The analog integrator, comprising an inverting active integrator, and an amplifier,…
Read MoreUtilizing 3D models for the Prediction of Work Man-Hour in Complex Industrial Products using Machine Learning
The integration of machine learning techniques in industrial production has the potential to revolutionize traditional manufacturing processes. In this study, we examine the efficacy of gradient-boosting machine learning models, specifically focusing on feature engineering techniques, applied to a novel dataset with 3D product models pertaining to work moan-hours in metal sheet stamping projects, framed as…
Read MoreAdvanced Fall Analysis for Elderly Monitoring Using Feature Fusion and CNN-LSTM: A Multi-Camera Approach
As society ages, the imbalance between family caregivers and elderly individuals increases, leading to inadequate support for seniors in many regions. This situation has ignited interest in automatic health monitoring systems, particularly in fall detection, due to the significant health risks that falls pose to older adults. This research presents a vision-based fall detection system…
Read MoreDevelopment and Application of Value Karuta to Understand Value in Lean Management: Initial Small-group Trial in Japan and the UK
This study proposes the Value Karuta (VK), an application of the traditional Japanese card game karuta. Its goal is to contribute to the understanding of value, which is the first principle of lean management. After stating the problems of lean management and the specifications of VK, this paper confirms the validity of the proposal by…
Read MoreEvaluation of a Classroom Support System for Programming Education Using Tangible Materials
In recent years, the utilization of tangible educational materials has attracted attention on educational settings. They provide hands-on learning experiences for beginners. This trend is especially notable in the field of programming education. Such educational materials are employed in many institutions worldwide. They liberate learners of programming from programming languages that are confined in a…
Read MoreOn Adversarial Robustness of Quantized Neural Networks Against Direct Attacks
Deep Neural Networks (DNNs) prove to be susceptible to synthetically generated samples, so-called adversarial examples. Such adversarial examples aim at generating misclassifications by specifically optimizing input data for a matching perturbation. With the increasing use of deep learning on embedded devices and the resulting use of quantization techniques to compress deep neural networks, it is…
Read MoreTrue Random Number Generator Implemented in ReRAM Crossbar Based on Static Stochasticity of ReRAMs
True Random Number Generators (TRNG) find applications in various fields, especially hardware security. We suggest a TRNG that exploits the intrinsic static stochasticity of Resistive Switching Random Access Memories (ReRAMs) to generate random bits. Other suggested designs use stochasticity in the switching mechanism, which requires high precision over input voltage and time. In the proposed…
Read MoreHardware and Secure Implementation of Enhanced ZUC Steam Cipher Based on Chaotic Dynamic S-Box
Despite the development of the Internet and wired networks such as fiber optics, mobile networks remain the most used thanks to the mobility they offer to the user. However, data protection in these networks is more complex because of the radio channels they use for transmission. Hence,there is a need to find more sophisticated data…
Read MoreA Study of the Digital Health Management Needs of the Elderly
The purpose of this paper is to explore the feasibility and development trend of utilizing smart medical technology for chronic disease health management in older people in the context of ageing at home. As the ageing society intensifies, the elderly population faces multiple health challenges, especially the management of chronic diseases. This paper analyzes the…
Read MoreEnergy Management Policy and Strategies in ASEAN
This research analyses the challenges faced by ASEAN countries in managing its energy efficiencies and resources due to rapid economic growth, increasing energy demand, and diverse energy infrastructures across member states. This paper explores the energy management policies and strategies within the ASEAN region, focusing on the integration of energy efficiency measures, renewable energy initiatives,…
Read MoreAssistive System for Collaborative Assembly Task using Augmented Reality
Augmented reality (AR) technology has been increasingly used in developing teaching materials with the aim of sparking more interest in technology (T) and engineering (E) among students in STEM education. In the proposed system, AR is integrated with an educational robot controlled by a KidBright microcontroller board, developed by the Educational Technology research team (EDT)…
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