https://publications.eai.eu/index.php/sumare/issue/feed EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy 2025-08-25T12:55:38+00:00 EAI Publications Department publications@eai.eu Open Journal Systems <p>The aim of EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy is to serve as an advanced forum for researchers, scholars, practitioners, and policymakers to disseminate cutting-edge research and advancements in sustainable manufacturing and renewable energy. This journal focuses on interdisciplinary collaboration and provides insights into sustainable practices, technologies, and methodologies that contribute to the global transition towards environmentally responsible manufacturing and energy systems.</p> <p><strong>INDEXING</strong>: Google Scholar, Crossref, Dimensions, Semantic Scholar, Lens</p> https://publications.eai.eu/index.php/sumare/article/view/8988 Design and Implementation of a Line-Tracking Robot for Autonomous Navigation 2025-08-08T13:31:34+00:00 L. H. Huynh lourve.vincent@gmail.com D. T. Duong lourve.vincent@gmail.com Lourve Vincent lourve.vincent@gmail.com <p>This study presents the design and implementation of a line-following Automated Guided Vehicle (AGV) for stock distribution using color detection. The AGV incorporates mechanical, electrical, and control engineering principles to improve warehouse automation. The primary goal is to develop an AGV that autonomously follows a designated path and sorts stocks by color. This project enhances students’ understanding of mechatronics system design by integrating fabrication, sensor integration, embedded programming, and control system optimization. The methodology includes system modeling, hardware selection, circuit design, algorithm implementation, and experimental validation. The AGV’s performance was assessed under different conditions to evaluate accuracy, stability, and adaptability. The AGV successfully follows predefined paths and accurately classifies stocks by color, optimizing logistics and automation processes. Experimental and simulation data confirm the system’s effectiveness. This project establishes a fundamental framework for AGV-based logistics and contributes to the advancement of autonomous warehouse solutions.</p> 2025-08-08T00:00:00+00:00 Copyright (c) 2025 L. H. Huynh, D. T. Duong, Lourve Vincent https://publications.eai.eu/index.php/sumare/article/view/9790 Research into the Influence of the Ease Coefficient on the Fit of Torso Dresses 2025-08-25T12:55:38+00:00 Mong Hien Thi Nguyen ntmhien14719@hcmut.edu.vn Phuong Nhi Thi Le phuongnhi921997@gmail.com <p class="ICST-abstracttext">This approach offers an alternative method for size selection, one that accounts for the inherent variability in body measurements, thus providing a more tailored and accurate fit for consumers. This study aims to establish a dataset of ease coefficients for torso pattern design across various fabric types and body shapes to ensure proper garment fit. Data were collected from 120 women aged 18–30 in Ho Chi Minh City. Using principal component analysis, K-means clustering, discriminant analysis, and ANOVA via SPSS, participants were classified into four distinct body shape groups. A basic dress pattern was developed based on the average measurements of each group and simulated on different woven fabrics to assess fit and make necessary adjustments. The correlation between body-specific and average-group patterns was analyzed, resulting in a table of ease coefficients for multiple fabric types. Fit evaluations were conducted through 3D simulation and wearer feedback. The study provides ease coefficient data for the bust, waist, and hip areas of Vietnamese women aged 18–30, offering a foundation for the design of dresses and blouses in the fashion industry.</p> 2025-08-25T00:00:00+00:00 Copyright (c) 2025 Mong Hien Thi Nguyen, Phuong Nhi Thi Le