Volume 5, Issue 5

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Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2026)
Guest Editors: Prof. Paul Andrew
Deadline: 31 December 2026

Special Issue on Artificial Intelligence for Energy Transition and Decarbonization (SI-AIETD26)
Guest Editors: Dr. Elkhatib Kamal, Dr. Reza Ghorbani, Dr. Ahmed Ragab, Prof. Mohamed Kouki
Deadline: 31 December 2026

Volume 5, Issue 5 - 3 Articles

This issue presents a collection of research addressing healthcare monitoring, mathematics education, and intelligent environmental sensing systems. The published papers examine the use of wearable acceleration sensors and time-series classification techniques for identifying walking balance and supporting fall-risk assessment, the hierarchical development of the triangle concept in mathematics education through the framework of geometric thinking levels, and an anomaly-detection-based early warning system for maritime storm formation using temporal autoencoders and meteorological sensor data. Collectively, these contributions highlight the growing role of intelligent sensing technologies, machine learning, educational analytics, and data-driven monitoring systems in improving healthcare outcomes, strengthening learning processes, and enhancing environmental awareness and operational safety in real-world applications.

Editorial
Editorial
1 Page, 6,757 KB Download PDF
Front Cover

Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # i–i, 2026

Editorial
6 Pages, 904 KB Download PDF
Editorial Board

Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # ii–vii, 2026

Editorial
2 Pages, 652 KB Download PDF
Editorial

by Jinhua Xiao

Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # viii–ix, 2026

Editorial
1 Page, 682 KB Download PDF
Table of Contents

Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # x–x, 2026

Articles
Open AccessArticle
11 Pages, 2,554 KB Download PDF
Identification of Walking Balance using Acceleration Sensors

by Junyu Chen, Michiyuki Hirokane and Yukio Horiguchi
Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # 1-11, 2026; DOI: 10.55708/js0505001
Abstract: The risk of falling increases with age, affecting approximately one in three individuals over 65 and one in two over 80 annually. In Japan, the fall rate among older adults ranges from 8.5% to 25.3%, and falls are a major cause of fractures and long-term care needs. Balance impairment is one of the key factors… Read More

(This article belongs to the Special Issue on SP8 (Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26)) and the Section Medical Informatics (MDI))

Open AccessArticle
7 Pages, 3,398 KB Download PDF
A Study on the Hierarchical Expansion of the Triangle Concept in Mathematics Education

by Hyeseong Kang and Eunsung Jekal
Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # 12-18, 2026; DOI: 10.55708/js0505002
Abstract: This study aims to analyze the hierarchical development of the triangle concept across elementary and secondary mathematics curricula through the theoretical lens of Van Hiele’s geometric thinking levels. The triangle is introduced in elementary school as a visual and perceptual object, reinterpreted in middle school as a structure involving relationships among sides and angles, and… Read More

(This article belongs to the Section Education and Educational Research (EER))

Open AccessArticle
21 Pages, 1,734 KB Download PDF
Early Warning for Maritime Storm Formation Using Temporal Autoencoder-Based Anomaly Detection

by Snehashish Srivastava, Haiping Xu, Donghui Yan and Ramprasad Balasubramanian
Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # 19-39, 2026; DOI: 10.55708/js0505003
Abstract: Storms remain a serious hazard at sea, exposing vessels to rapidly changing conditions that endanger human life and result in substantial economic losses. Satellite-based detection methods are widely used but require significant computational resources and depend on land-to-sea communication links, which may become unreliable during severe weather. Machine learning approaches offer strong potential for early… Read More

(This article belongs to the Special Issue on SP9 (Special Issue on Multidisciplinary Sciences & Advanced Technology (SI-MSAT 2026)) and the Section Artificial Intelligence – Computer Science (AIC))

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