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Engineering Science Letter
Published by Indonesian Institute of Science and Technology Research
ISSN : 29618924     EISSN : 2961872X     DOI : https://doi.org/10.56741/esl.v1i02
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Engineering Science Letter is an international peer-reviewed letter that welcomes short original research submissions on any branch of engineering, computer science, and technology, as well as their applications in industry, education, health, business, and other fields. Artificial intelligence, image processing, data mining, data science, bioinformatics, computational statistics, electrical engineering, electronics engineering, telecommunications, hardware systems, industrial automation, industrial engineering, fluids and physics engineering, mechanical engineering, chemical engineering, and their applications are among the engineering and computer science topics covered by the journal. All papers submitted will go through a peer-review process to ensure their quality. Submissions must contain original research and contributions to their field. The manuscript must adhere to the author’s guidelines and have never been published before.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol. 4 No. 01 (2025): Engineering Science Letter" : 7 Documents clear
Forecasting Model of Shrinkage in Circular Knitted Fabric Using Decision Tree Analysis Le, Song Thanh Quynh; Trinh, Thi Kim Hue; Phan, Thanh Nhan
Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v4i01.656

Abstract

Controlling and ensuring product quality are significant in any production department, especially in the textile and clothing industry. Ensuring fabric shrinkage meets customer requirements constitutes a critical factor in evaluating product quality in the knitted fabric production process. However, fabric shrinkage depends on the order‘s specifications, such as loop length, fabric weight, material composition, longitudinal density, and transverse density. This complexity makes it challenging to control and ensure the fabric quality according to customer requirements. This study will describe the characteristics of each specification factor and explore its influence on fabric shrinkage. Finally, data mining techniques develop a forecasting model based on input parameters. The prediction model results will support production managers in estimating and promptly adjusting process parameters to achieve the expected quality levels.
Current Status and Analysis of the Solution of Greening in the Textile Industry in Vietnam Phan, Thanh Nhan; Le, Song Thanh Quynh
Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v4i01.657

Abstract

Textile and garment production is one of the essential industries contributing to creating jobs for millions of workers and providing Vietnam's leading source of GDP revenue. The production process of the textile industry also has many impacts on the economy, society, and the environment, not only in Vietnam but also in most countries around the world. In the textile and Garment industry, freshwater consumption accounts for nearly 4%, and water pollution accounts for about 20% worldwide. According to the Vietnam Textile and Apparel Association, the energy consumption of textiles accounts for up to 8% of the energy consumption compared with the energy of the entire industry. It emits about 5 million tons of CO2 per year. Therefore, solutions to green the textile industry, such as designing and building factories in a green and sustainable direction, lighting solutions, optimal production process systems, using energy-saving equipment, and alternative forms of renewable energy are some of the leading critical factors to reducing energy consumption would be analyzed, evaluated and provided optimal solutions for the goal of greening in the textile industry and progress towards the target of net zero emissions by 2050.
Investigation of the Effect of Turboexpander on NOx Emissions Fayaz, Farheen; Allport, John; Brace, Jordan
Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v4i01.678

Abstract

As climate changes become more severe and the transition towards sustainability goals more important than ever, the need to modify our vehicles and their thermal management systems takes priority. The vast majority of Original Engine Manufacturers might be looking at the electrification of most vehicles, but it is equally important to make sure that our Internal Combustion Engine powered vehicles become more sustainable since most of our heavy transport is powered by ICEs. The biggest disadvantage of an ICE-powered vehicle is its emissions output. The engine emissions regulations have become stringent over the past few years leading to an increased emphasis on NOx reduction techniques. Air Cycle Technology (ACT) has created a novel form of turboexpander which has previously been tested by ACT in race car engines to reduce pre-ignition. This current work being reported has been carried out to prove the useability of the ACT turboexpander in diesel engines to reduce NOx formation by cooling the intake air. The engine used for this study is a 4.4-liter JCB-TCA 74 turbocharged diesel engine. The ACT turboexpander was retrofitted to the JCB engine. During the study performed on the JCB engine, second-stage cooling provided by the turboexpander showed a reduction of approximately 30° C in intake air temperatures. This data was also supported by hand calculations performed using empirical formulas.
A Systematic Review on Industrial 4.0 Readiness for Environmental Sustainability Considering Cultural Influences Semiun, Nasri; Ghazali, Ihwan; Mohamad, Effendi; Tanjung, Tia
Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.00735

Abstract

 This systematic literature review (SLR) investigates the development of sustainability guidelines tailored for Industry 4.0, emphasizing the influence of cultural factors and the multidimensionality of existing sustainability models. Industry 4.0 represents a pivotal shift in industrial operations, integrating advanced technological innovation with a human-centric focus to achieve sustainability goals. Cultural factors, however, play a crucial role in shaping the success of such initiatives. This research examines how the various dimensions of sustainability models are influenced by cultural considerations and provides a comprehensive analysis of their impact on Industry 4.0 readiness. The findings of the SLR underscore that aligning technology with local cultural values, engaging stakeholders across diverse societal levels, and fostering capacity-building through culturally relevant training and education are vital to enhancing the effectiveness of sustainability practices. The proposed guidelines advocate for incorporating cultural analysis during the early planning phases, developing culturally sensitive communication strategies, formulating adaptable and flexible policies, and promoting international collaboration that respects cultural diversity. This study contributes valuable insights into the dynamic interplay between cultural influences and sustainability within the Industry 4.0 framework, emphasizing the importance of culturally responsive strategies for achieving enduring sustainable outcomes.
Detection Method of Concave Defect on Specular Surfaces Based on Swin Transformer Tanaka, Kazumoto
Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.00743

Abstract

Shallow concave defects on mirrored surfaces are difficult to detect automatically. This paper proposes a defect detection method using a deep neural network (DNN) that learns the presence or absence of distortion in the image of a stripe pattern reflected on a mirror surface. The Swin Transformer is used as the DNN to capture global features of the edges of the reflection. In the manufacturing process, the occurrence of defects is minimized, so it is difficult to collect enough defect images for training purposes. Therefore, in this paper, we show how to generate a large number of images of stripe pattern reflections using an optical simulation method. Our Swin Transformer showed high detection performance in defect detection experiments using actual mirrored parts.
Bridge-Crane Hoist Mass Angular Oscillation Ly, Hung; Chau, Than; Nguyen, Huong
Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.00724

Abstract

The oscillation of hoisting masses in bridge cranes significantly impacts system stability, resulting in adverse effects such as excessive dynamic loads, inaccurate positioning during loading and unloading, and overall instability. Therefore, the angular oscillation of the hoisting mass must be controlled in the design of bridge cranes. This paper presents a mathematical model for the analysis of the angular oscillation of a hoisting load, both during oscillation and trolley movement. The MATLAB/Simulink software was used to simulate the dynamic behavior of the model to gain insights into the oscillation angle and its limitations. The results substantiate the reliability of the proposed model for predicting the angular oscillation of hoisting loads in bridge cranes.
Works Rescheduling in Container Terminals Anh Duy, Nguyen Vu
Engineering Science Letter Vol. 4 No. 01 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.00725

Abstract

Container transportation plays a vital role in freight movement, with container yards serving as critical hubs for operations. This paper focuses on the rescheduling of handling equipment in response to unexpected crane failures, which disrupt planned tasks. To address this challenge, a heuristic algorithm is proposed, incorporating the Longest Processing Time and List Scheduling procedures. Two rescheduling strategies are evaluated through numerical experiments. The results indicate that the second strategy outperforms the first in most cases by improving efficiency, albeit with more changes to the initial schedule. The numerical examples demonstrate the effectiveness of the algorithm, achieving feasible rescheduling solutions within less than one second for all tested cases. These findings highlight the algorithm’s efficiency and practicality in real-world container yard operations.

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