https://ijecer.org/ijecer/issue/feed 2026-03-15T11:18:32+03:00 Yunus Uzun yunusuzun38@hotmail.com Open Journal Systems <p>International Journal of Electrical and Computer Engineering Research (IJECER) is an academic journal that publishes research articles and review articles emerging from theoretical and experimental studies in all fields of electrical and computer engineering. IJECER is an open access, free publication and double-blind peer-reviewed journal. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. In addition, there is no APC fee. In order for the articles submitted to the journal to be evaluated, they should not have been published elsewhere before and the similarity rate should be less than 20%. <br />The main aim of IJECER is to publish quality original scientific papers and bring together the latest research and development in various fields of science and technology related electrical and computer engineering. IJECER is published quarterly a year, in March, June, September and December. Permanent links to published papers are maintained by using the Digital Object Identifier (DOI) system by CrossRef. <br />The journal aims to provide the first editorial decision within 3–5 weeks after manuscript submission.</p> <p>The topics related to this journal include but are not limited to:</p> <ul> <li>Electrical Engineering</li> <li>Computer Engineering</li> <li>Electronics and Communication Engineering</li> <li>Biomedical Engineering</li> <li>Mechatronics and Systems Engineering</li> <li>Electrical Energy and Power Systems</li> <li>Internet of Things and Emerging Technologies</li> <li>Smart Devices and Embedded Systems</li> <li>Computer Science and Information Technology</li> <li>Artificial Intelligence and Soft Computing</li> <li>Big Data, Cloud Computing, and Networking</li> <li>Signal, Image, and Speech Processing</li> <li>Pattern Recognition and Robotics</li> <li>Renewable Energy and Green Technologies</li> <li>Wireless Sensor Networks and Communications</li> </ul> https://ijecer.org/ijecer/article/view/513 2026-03-07T18:02:23+03:00 Igor Andrushchak 9000@email.ua Viktor Kosheliuk viktor.koshelyuk@gmail.com

<p>Container orchestration platforms such as Kubernetes are increasingly deployed in cloud-native and edge computing environments, where ensuring secure network isolation and trustworthy interactions between distributed components remains a critical challenge. Lightweight Kubernetes clusters, in particular, often lack robust mechanisms for decentralized trust management and tamper-resistant security auditing. This paper proposes a secure network-isolation and trust model for Kubernetes environments based on the Multichain blockchain. The study aims to enhance security assurance and audit transparency by introducing a decentralized trust layer that complements native Kubernetes networking mechanisms. The research objectives include analyzing network-level security threats in Kubernetes clusters, designing a blockchain-based trust-and-audit architecture, integrating Multichain with Kubernetes networking components, and evaluating the effectiveness of the proposed model using quantitative metrics.</p> <p>The proposed approach is validated through experimental deployment in a controlled Kubernetes environment. Effectiveness is assessed using normalized indicators for security, performance, reliability, and integration, combined into an integrated effectiveness index. Radar-based visualization is employed to compare the proposed solution with a baseline Kubernetes configuration without blockchain support. Experimental results demonstrate that the proposed model significantly improves security and reliability metrics while maintaining acceptable performance overhead. The integrated effectiveness index confirms a measurable overall improvement compared to traditional Kubernetes deployments. The scientific contribution of this work lies in integrating decentralized, blockchain-based trust and immutable audit logging with Kubernetes network isolation mechanisms. The proposed model provides a practical, scalable approach to enhancing the security of Kubernetes clusters across cloud-native and edge computing infrastructures.</p>

2026-03-15T00:00:00+03:00 Copyright (c) 2026 Igor Andrushchak, Viktor Kosheliuk https://ijecer.org/ijecer/article/view/504 2025-12-11T10:55:53+03:00 Juan Pablo Mendoza Torres tm220110170@tamazula.tecmm.edu.mx Jorge Alberto Cardenas Magaña jorge.cardenas@tamazula.tecmm.edu.mx

<p>Hybrid Additive Manufacturing (HAM) has emerged as an effective approach to overcome the limitations of conventional metal additive manufacturing by combining layer-by-layer deposition with the precision of CNC machining. In parallel, artificial intelligence (AI) has enabled significant advances in process monitoring, defect prediction, and adaptive control. This study presents a systematized review of 52 research articles published between 2015 and 2025 to analyze the capabilities, limitations, and applications of HAM and AI in the design and fabrication of electromechanical components. The findings indicate that medium and high integration levels in hybrid systems improve dimensional accuracy, surface quality, and mechanical performance. AI-based methods further enhance process reliability by enabling parameter optimization, early defect detection, and improved repeatability. Despite these advances, challenges remain regarding standardization, limited industrial adoption, and the lack of comparative studies between AM, HAM, and CNC machining. This review provides a conceptual framework that supports future research and guides the implementation of HAM and AI in the development of advanced electromechanical components.</p>

2026-03-15T00:00:00+03:00 Copyright (c) 2026 Juan Pablo Mendoza Torres, Jorge Alberto Cardenas Magaña