IEEE Access最新文献

{"title":"Decoding the Factors of Electric Vehicle Supply Chain Resilience: A Structured Categorization for Enhancing Resilience Through Factor Synergies","authors":"Yanxuan Li;Vatcharapol Sukhotu","doi":"10.1109/ACCESS.2025.3543910","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3543910","url":null,"abstract":"This study focuses on building resilience in electric vehicle (EV) supply chain to address the growing challenges of global market uncertainties. Grounded in dynamic capabilities theory, the study identifies and categorizes 16 key factors influencing Supply Chain Resilience (SCR) through a review of 117 academic papers and data analysis from 8 supply chain experts and 374 EV supply chain enterprises. These factors are grouped into four dynamic capability sets: sensing capability, external resource integration capability, internal resource integration capability, and transforming capability. The Structural Equation Modeling (SEM) was used to validate the impact paths of these four dynamic capabilities on SCR, revealing that external resource integration capability has the most significant positive effect on SCR, followed by internal resource integration and sensing capabilities, while the impact of transforming capability is relatively weaker. The findings suggest that EV companies should prioritize strengthening both external and internal resource integration to enhance SCR. This research provides a theoretical foundations and practical guidance for EV companies to improve SCR in a complex global environment, offering new perspectives and empirical support for future studies in supply chain management.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"35281-35297"},"PeriodicalIF":3.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10896634","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143496437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Security Enhancements in Kubernetes CNI: A Deep Dive Into Network Policies","authors":"Bom Kim;Jinwoo Kim;Seungsoo Lee","doi":"10.1109/ACCESS.2025.3543841","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3543841","url":null,"abstract":"With the explosive growth of Kubernetes adoption, Container Network Interfaces (CNIs) have become critical components for configuring and securing container networks, but a comprehensive analysis of their security capabilities and performance impact is noticeably lacking. Our study conducts a comprehensive security analysis of the major CNI plugins (Cilium, Calico, WeaveNet, Kube-router, and Antrea) in cloud-native environments with Kubernetes through extensive evaluation of Layer 3/4 policy processing, policy complexity scaling, pod scalability, and Layer 7 policy processing. The experimental results show that eBPF-based Cilium maintains 8.9K Mbps throughput under complex L3/4 policies, but drops to 94 Mbps with L7 processing, while Antrea achieves 6.6K Mbps at L7 through HTTP filtering, with performance degrading as policy complexity increases. Under high concurrent pod loads, iptables-based CNIs show a 60-70% reduction in throughput, while Cilium maintains performance within 10% of baseline. These results reveal critical trade-offs between architectural choices and security capabilities, and provide practical guidelines for CNI selection based on specific operational and security requirements in cloud-native environments.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"35322-35338"},"PeriodicalIF":3.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10896680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143496550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Intelligent Digital Twin Streamlines Production Planning in the Context of Custom 3D Workpieces for Powder Coating","authors":"Cedric Kiener;Steffen Schwarzer;Simon Zimmermann","doi":"10.1109/ACCESS.2025.3544140","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3544140","url":null,"abstract":"An Intelligent Digital Twin (IDT) was created to analyze 3D-CAD models for optimizing individual production plans in the context of powder coating. The IDT performs a kinematic simulation of the workpieces in preparation for the subsequent real production. We utilized the novel concept of analyzing CAD files directly in a game engine after an automatic runtime import. This runtime import of 3D-CAD models into game engines is a unique feature that addresses a research gap with significant reuse potential in other applications. This approach is necessary because of the custom shapes of the workpieces, which undergo feature detection, virtual assembly, and optimization by simulation. This leads to a fast and early calculation of production costs, thereby enhancing the competitiveness of the company. The IDT is fully automated and is available 24/7 to plan production immediately after receiving a 3D-CAD file, thereby boosting production planning.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"35243-35253"},"PeriodicalIF":3.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10896683","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Markov Chain-Based Resource-Efficient and QoS-Aware Scheduling for Latency-Critical and Best-Effort Tasks","authors":"Seokwon Choi;Hyeonsang Eom","doi":"10.1109/ACCESS.2025.3543964","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3543964","url":null,"abstract":"The importance of data centers in modern computing environments is continuously increasing, and ensuring the Quality of Service (QoS) of Latency-Critical (LC) tasks is essential to prevent system failures and performance degradation. Resource isolation techniques, widely used to guarantee the QoS of LC tasks, allocate additional resources until the QoS requirements are satisfied. However, traditional methods do not consider the performance saturation point of Best-Effort (BE) tasks and allocate all remaining resources to BE tasks after meeting LC task requirements, resulting in resource wastage. Furthermore, the high overhead caused by real-time resource adjustments can lead to system performance degradation. To address these issues, this paper proposes a weight-based Markov Chain model for resource optimization. The proposed model evaluates resource efficiency through offline profiling of balanced resource combinations and determines the optimal resource allocation strategy in advance. By accurately identifying the minimum resources required to ensure LC task QoS and predicting the performance saturation point of BE tasks, the model prevents unnecessary resource wastage. Unlike traditional methods, the proposed model leverages weight-based profiling to significantly reduce real-time scheduling overhead and achieve balanced resource allocation. Experimental results demonstrate that the proposed model maintains LC task QoS while guaranteeing BE task performance at a level comparable to existing resource isolation scheduling techniques. Additionally, the model successfully optimizes resource utilization and effectively reduces profiling overhead compared to traditional methods. The proposed approach optimizes both resource efficiency and performance in multi-task server environments.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"34649-34666"},"PeriodicalIF":3.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10896639","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Pre-Acceleration Protection of Dual-End DC Distribution Systems Based on the Energy Characteristics of Transient Current Signals","authors":"Zhaoyang Wei","doi":"10.1109/ACCESS.2025.3543699","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3543699","url":null,"abstract":"The protection technology for direct current (DC) distribution lines is crucial for the safe and stable operation of the entire system. Currently, there is extensive research on the protection mechanisms based on voltage, current, and other transient quantities during faults in DC distribution systems, which can meet the rapid action requirements. However, there is a lack of consideration for real-world equipment, particularly regarding disturbances and uncontrollable errors. On the other hand, protection schemes based on active protection technologies or devices often overlook the fault characteristics inherent in electrical quantities, indicating that there is room for improvement in rapid response capabilities. Considering this, this paper employs wavelet transform technology to extract the energy characteristics of current signals at the moment of a fault. By integrating the operational characteristics of circuit breakers, the author proposes a pre-acceleration protection scheme for a dual-end DC distribution system based on the energy characteristics of transient current signals. The entire protection mechanism is initiated by the rate of change of fault current, while the circuit breakers in the system are configured with reasonable delays based on a stepped timing approach. The energy characteristics of the capacitor discharge current signal, extracted using Symlets wavelets, serve as the acceleration criterion for the pre-acceleration action, enabling the circuit breaker to swiftly isolate the fault. If the calculated conditions for pre-acceleration are met, the circuit breaker will commence the pre-acceleration action to eliminate the fault, ensuring rapid fault clearance. If the conditions are not satisfied, the circuit breaker will operate according to the predetermined stepped timing. Finally, the protection scheme is validated through the Shenzhen Baolong Industrial City DC demonstration project, assessing its performance under both single-pole and double-pole fault conditions. Simulation results indicate that this protection scheme effectively operates under various scenarios, including single-pole faults, inter-pole faults, and faults occurring at different locations with varying grounding resistances, successfully achieving fault isolation.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"33341-33350"},"PeriodicalIF":3.4,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-Noise Modified-RGC Transimpedance Amplifier With Bandwidth Enhancement Using an Intrinsic Negative-RC Network","authors":"Behnam Abdollahi;Baset Mesgari;Saeed Saeedi;Zahra Sohrabi;Horst Zimmermann","doi":"10.1109/ACCESS.2025.3543679","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3543679","url":null,"abstract":"This paper presents a dual feedback transimpedance amplifier (TIA) with a modified regulated-cascode (RGC) topology that employs a negative resistance-capacitance (NRC) network to enhance both bandwidth and noise performance. By combining a negative resistance-capacitance network with transconductance boosting (gm-boosting), the proposed topology provides greater flexibility in circuit design, improving the performance of the circuit, in relation to both input and output nodes, compared to conventional RGC topologies. This increased design flexibility enables optimal input impedance with lower power consumption, particularly in the presence of large photodiode (PD) capacitance, while avoiding output node headroom limitations. Additionally, the use of a negative capacitance at the output node allows for increment of the output resistance (gain) without concerns about headroom limitations or load capacitance constraints, resulting in a significant noise reduction and bandwidth enhancement. To demonstrate the effectiveness of the proposed circuit techniques, the TIA topology is fabricated in <inline-formula> <tex-math>$0.35~mu $ </tex-math></inline-formula>m CMOS technology. Measurement results show 69 dB<inline-formula> <tex-math>$Omega $ </tex-math></inline-formula> transimpedance gain, 1.7 GHz 3-dB bandwidth, and 6 pA/<inline-formula> <tex-math>$surd $ </tex-math></inline-formula>Hz input referred noise current spectral density. The circuit power consumption and area are 7.4 mW and of 0.01 mm2, respectively.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"33521-33531"},"PeriodicalIF":3.4,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892125","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computerized Adaptive Testing to Balance Exposure Bias and Measurement Accuracy Using Zero-Suppressed Binary Decision Diagrams","authors":"Maomi Ueno;Kazuma Fuchimoto;Wakaba Kishida;Yoshimitsu Miyazawa","doi":"10.1109/ACCESS.2025.3543554","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3543554","url":null,"abstract":"Computerized adaptive testing (CAT) presents a tradeoff dilemma involving item exposure bias and measurement accuracy. To resolve this dilemma, we propose a new two-step CAT mechanism to balance exposure bias and measurement accuracy. Using zero-suppressed binary decision diagram (ZDD), the proposed method first selects and presents an optimal item from an equivalent item pool, which uniformly divides the whole item pool. The first step rapidly provides a roughly approximated ability estimate of an examinee. The second step produces a more accurate ability estimate of the examinee. Specifically, the second step selects an optimal item from the whole item pool and presents an item with a difficulty parameter value that is approximately equal to the examinee ability estimate. Numerical experiment results underscore the effectiveness of the proposed method.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"33883-33903"},"PeriodicalIF":3.4,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Strategy for Enhanced Post-FRT Active Power Recovery in Expandable Point-to-Point VSC-HVdc Links","authors":"Arcadio Perilla;José Luis Rueda Torres","doi":"10.1109/ACCESS.2025.3543604","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3543604","url":null,"abstract":"This paper proposes a non-linear DC power modulation strategy for expandable point-to-point (PtP) high-voltage DC (HVDC) systems. The goal is to enhance the active power management during post-fault conditions of the interconnected AC networks. The proposed strategy is developed by defining exponentially decaying functions, which, depending on the HVDC network configuration of the expandable HVDC system, alter the active current reference in a voltage source converter (VSC) affected by an AC network’s disturbance, without utilizing proportional-integral (PI) controllers. Furthermore, it is investigated whether the produced alteration can fulfill the post-fault active power recovery (PFAPR) requirements of VSC-HVDC systems, even in situations when no communication protocols between the VSC units are used. Lastly, it is demonstrated, through simulation experiments, that the expandable HVDC system (working in a point-to-point (PtP) or a multi-terminal (MT) network configuration), shows a better performance (in terms of the PFAPR profile and the DC voltage response) when the proposed strategy is utilized instead of conventional main-supplementary or droop control strategies.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"34747-34757"},"PeriodicalIF":3.4,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Survey and Framework for Education in the Metaverse","authors":"Jalal Safari Bazargani;Abolghasem Sadeghi-Niaraki;Soo-Mi Choi","doi":"10.1109/ACCESS.2025.3543496","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3543496","url":null,"abstract":"The rapid advancement of technology is reshaping education, and the metaverse stands at the forefront of this transformation. Beyond its roots in gaming and entertainment, the metaverse is poised to revolutionize how we learn by creating immersive, interactive, and personalized educational environments. However, despite its potential, a comprehensive framework for integrating the metaverse into education remains absent. This study conducts a systematic literature review to analyze and categorize existing research on education in the metaverse. The review follows a PRISMA-based methodology, utilizing Scopus, Web of Science, and PubMed databases for data collection. Studies were analyzed to identify trends, goals, and types of metaverse technologies explored. Building on this review, this paper proposes a Meta-education framework that addresses the interconnected roles of learners, instructors, and institutions in metaverse-driven education systems. The framework highlights how the metaverse enhances learner engagement, supports innovative teaching strategies, and enables institutional scalability. This study concludes that while the metaverse holds great potential to revolutionize education, significant challenges remain, including content development, instructor readiness, and integration of AI technologies. The proposed framework provides practical guidelines for future research and offers implications for educators, policymakers, and researchers aiming to create inclusive, sustainable, and transformative learning environments.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"33231-33245"},"PeriodicalIF":3.4,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892097","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging Personalized Customer Experiences in Mobile Edge Computing Through Split Learning Using Smart Data-Driven Modeling","authors":"V. Vinoth Kumar;K. M. Karthick Raghunath;Iyappan Perumal;K. Manikandan","doi":"10.1109/ACCESS.2025.3543577","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3543577","url":null,"abstract":"The rapid growth and opportunities of Mobile Edge Computing (MEC) technology have transformed smart consumer electronics like smartphones and wearable devices that produce massive and complicated data sets. Analyzing consumer electronics data to understand customers is difficult because of its vast scale and detailed content. To solve these issues, we present Enhanced Smart Data-Driven Modeling (ESDDM), which combines Smart Data-Driven Modeling (SDDM) with modern Deep Learning (DL). ESDDM combines multiple data streams to better understand consumer electronics systems beyond the normal Machine Learning (ML) capabilities. ESDDM’s integration with Split Learning (SL) protects data by lessening transmission risks and avoiding central cloud storage while keeping sensitive information secure on user devices and delivering better system performance. The prediction results from ESDDM show its strength with a low Mean Squared Error (MSE) of 0.267, which reveals its capability to reshape the MEC domain while creating business possibilities and better customer outcomes.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"34435-34448"},"PeriodicalIF":3.4,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10892096","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}