IEEE Access最新文献

{"title":"Card-Flipping Decision-Making Technique for Handover Skipping and Access Point Assignment: A Novel Approach for Hybrid LiFi Networks","authors":"Sallar S. Murad;Salman Yussof;Wahidah Hashim;Rozin Badeel","doi":"10.1109/ACCESS.2024.3473938","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3473938","url":null,"abstract":"The hybrid LiFi/WiFi communication networks have demonstrated their efficacy and advantages in terms of data transmission rates. Multiple difficulties were identified in these networks, including the access point assignment (APA) and the process of handover (HO). These troubles (criteria) are influenced by multiple elements, including optical gain at the recipient, mobility, distance, blockage, shadowing, and other variables. It is crucial to evaluate multiple criteria when making-decisions in order to attain more precise results. However, as far, limited studies employing the multicriteria decision-making (MCDM) technique for a hybrid LiFi/WiFi network has been discovered. Nevertheless, although the MCDM technique is highly accurate, it involves long process to achieve the optimal access point (AP). This results in heightened complexity of the system, leading to longer AP transfer times and higher HO rates. In order to address the aforementioned constraints, this paper introduces a novel approach termed as card-flipping decision making (CFDM). CFDM enables swift and precise decision-making while minimizing computational complexity. Additionally, it incorporates HO rates that involve bypassing HOs and selecting the most optimal AP. The analytic hierarchy process (AHP) is adopted to estimate the subjective weights of each criterion and establish their level of priority. The proposed method provided in this study is combined with the AHP, referred to as the merged AHP-CFDM. This integration is considered a new MCDM technique. The proposed method consists of an algorithm that performs i) criteria segmentation based on criteria values, ii) criteria sortation based on AHP results, and iii) criteria grouping based on network type. The classification of criteria is also taken into account including cost and benefit criteria. The proposed algorithm treats each criterion as a card, and each card is flipped (computed) when necessary. The outcome of the AHP-CFDM decisions are SKIP, FLIP, and ASSIGN. The proposed AHP-CFDM is a new MCDM technique and can be utilized in other networks and/or applications for decision-making. The investigation demonstrates improvements in total system efficiency in terms of computational complexity and HO rates when compared to both standard approaches and benchmark techniques. The simulation results demonstrate that the proposed strategy outperforms other methods significantly when compared to the most relevant studies.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"146635-146667"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705298","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447183","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":"Correction to “Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey”","authors":"Angeliki Boltsi;Konstantinos Kalovrektis;Apostolos Xenakis;Periklis Chatzimisios;Costas Chaikalis","doi":"10.1109/ACCESS.2024.3431791","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3431791","url":null,"abstract":"Presents corrections to the paper, (Correction to “Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey”).","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"141741-141741"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705902","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142377023","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 Improved ECM-Based State-of-Charge Estimation for SLA and LFP Batteries Used in Low-Cost Agricultural Mobile Robots","authors":"German Monsalve;Diego Acevedo-Bueno;Alben Cardenas;Wilmar Martinez","doi":"10.1109/ACCESS.2024.3473896","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3473896","url":null,"abstract":"Batteries are crucial in transitioning from fossil fuels to clean-powered mobility, for several applications such as Electric Vehicles and Agricultural Mobile Robots (AMRs). However, the adoption of AMRs is limited by several challenges related to battery management, including restricted operation time, long recharge periods, and safe operation. The State of Charge (SOC) provides information about the remaining energy in the battery and is essential for battery management. Therefore, an accurate SOC estimation is crucial to ensure safe and reliable operation, which is needed to overcome the aforementioned challenges. This paper proposes, implements, and validates an SOC estimation system for low-cost AMRs. The accuracy of the SOC estimation is improved by adding information about the battery’s Open Circuit Voltage (OCV) to the Equivalent Circuit Models (ECM). Two SOC estimation methods based on ECM were implemented and validated for a Lithium Iron Phosphate battery (LFP) and a Sealed Lead Acid (SLA) battery powering an AMR. Finally, the results indicate that adding the OCV information to the models improves the estimation accuracy for both chemistries, being particularly interesting for LFP batteries, whose OCV vs. SOC has a flat area in almost the entire useful region of the SOC.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"146265-146276"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705297","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447067","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":"Full Software Control on MZI-Based Photonic Integrated Circuit","authors":"Yong Kwon;Martino Bernard;Leonardo Limongi;Gioele Piccoli;Mher Ghulinyan;Byung-Soo Choi","doi":"10.1109/ACCESS.2024.3474014","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3474014","url":null,"abstract":"A software platform for quantum computing is required to run a complex algorithm on a real quantum device through automatically converting a quantum circuit level algorithm to a control sequence of target device. Moreover, the software platform must be tailored for the target quantum system by exploiting the properties of qubits and gates. In this work, we show how to implement a software platform for a photonic integrated circuit (PIC) platform with path-encoded photon qubits and quantum gates realized by means of interference in a mesh of tuneable Mach-Zehnder interferometers (MZIs). For universal and programmable quantum computing, the software platform consists of three standard modules: decomposer, mapper, and controller. To verify the software we runs example circuit through software and hardware integration platform and confirm each module generates correct output. Also the validation is done by comparing two results for conventionally used manual way and the software supported automatic way. These two points ensure that the implemented software works correctly when applied to the PIC.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"146291-146302"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705287","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447069","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":"Design of Electro-Magnetic Energy Harvester (EMEH) From Knee’s Muscle Work During Walking","authors":"Pattharaphol Chainiwattana;Iranat Suknual;Methaporn Suepa;Weeraphat Thamwiphat;Thitima Jintanawan;Parineak Romtrairat;Gridsada Phanomchoeng","doi":"10.1109/ACCESS.2024.3473912","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3473912","url":null,"abstract":"Energy harvesting from human motions can extend battery lifespan and enhance mobile device convenience, with promising applications in military and medical fields. Knee motion is an excellent candidate for energy harvesting due to its significant recoverable negative work. This paper aims to design an Electro-Magnetic Energy Harvester (EMEH) that captures power from knee muscle work during walking. We used 2D motion capture techniques to obtain input data, including knee angular rotation and muscle work during walking. Position vectors were extracted with a motion tracker, angular positions were formulated, and the data were imported into MATLAB® Simscape MultibodyTM to develop a walking-leg model. The model obtained angular velocity, torque, and power, revealing an angular displacement within −60-0°, a maximum angular velocity of 5.42 rad/s, a maximum torque of 30 Nm, and an average power of 15.9 W. These results indicated both positive and negative work phases in one gait cycle, consistent with reference data, helping determine the energy harvester’s operating range. The EMEH model in MATLAB/Simulink® predicted the system’s output voltage and power, guiding prototype construction. Performance tests of the prototype showed a peak power output of about 8 W, with cumulative energy harvested at 5.5 J per gait cycle. With a prototype mass of 1.35 kg, the design achieved an average power density of 3.12 W/kg. Thus, our compact and lightweight EMEH prototype successfully converted the motion of the human knee into electricity while walking, achieving a power output suitable for practical applications.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"146213-146224"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705309","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447064","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":"Enhancement of Penetration Depth and Focality in Transcranial Magnetic Stimulation Using Combined X-halo and Annulus Sector Coils","authors":"Hongjoon Cho;Changil Choi;Jinho Jeong","doi":"10.1109/ACCESS.2024.3473994","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3473994","url":null,"abstract":"Transcranial magnetic stimulation (TMS), a non-invasive therapeutic method, has attracted considerable interest for its potential in addressing diverse neurological disorders. Several types of TMS coils have been proposed to enhance the stimulating characteristics such as penetration depth and focality of the induced electric field. In this study, the X-halo and annulus sector coils are proposed to address the trade-off between penetration depth and focality of electric field. The stimulating characteristics of the proposed coils are simulated using a finite element method for the conductive head model. It is demonstrated that penetration depth and focality can be controlled by the relative position of the annulus sector coils and adjusting the current ratio between the two coils. A comparison with previously reported coils indicates that the proposed coils can achieve deeper penetration depth for the same stimulating area, suggesting an improvement in the trade-off between penetration depth and focality. The simulation results were validated by the measurement of the magnetic and electric field distribution in air generated by the fabricated coils.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"146256-146264"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705296","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447100","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":"Fast Single Image Reflection Removal Using Multi-Stage Scale Space Network","authors":"B. H. Pawan Prasad;Green Rosh;R. B. Lokesh;Kaushik Mitra","doi":"10.1109/ACCESS.2024.3474032","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3474032","url":null,"abstract":"Images captured in front of a glass obstruction often suffer from degradation due to the presence of reflections. These reflections can be classified as either high transmitted or low transmitted depending upon whether the captured image is dominated by either the background or the reflections respectively. Current approaches either aim to handle only high transmitted reflections or propose to train a unified neural network for addressing both kinds of reflections. However, using a single network to address different types of reflections is not very effective. Further, these methods are also computationally expensive and impractical to deploy on devices with limited resources such as smartphones. To address these challenges, we present a multi-stage pipeline for single image reflection removal within a scale space framework to address low and high transmitted reflections separately. Specifically, we treat the removal of low transmitted reflections that typically obscure the desired background as an inpainting challenge, while we handle high transmitted reflections using conventional techniques. We use specialized networks for these types of reflections within a scale space architecture that is light weight and is capable of removing reflections from very high resolution images. Our method shows superior performance both qualitatively and quantitatively compared to state of the art methods and our smartphone implementation takes about ~5 seconds to generate a high resolution 12 MP image.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"146901-146914"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705159","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447068","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 Semi-Empirical State of Health Estimation Method for Batteries of Electric Vehicles Operating in Varying Real-World Conditions","authors":"Lianfang Cai;Mark Holdstock;Manlio Valerio Morganti;Sridhar Ayyapureddi;Andrew Mcgordon","doi":"10.1109/ACCESS.2024.3474172","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3474172","url":null,"abstract":"Present research on battery State of Health (SoH) estimation is mainly focusing on constant conditions, solely cycling conditions or solely storage conditions, whereas few attempts have been made for varying real-world conditions. Since batteries of electric vehicles (EVs) usually operate in varying conditions, it is of great importance to break the constraints of constant conditions, solely storage conditions and solely cycling conditions, while estimating SoH for EV batteries. In light of this, a semi-empirical SoH estimation method for EV batteries operating in varying conditions is proposed in this paper, which includes the offline parameterization and the real-world calculation. Firstly, the offline parameterization is conducted by fitting two semi-empirical models to the separate storage degradation data and the cycling degradation data from experiments and by building two parameter look-up tables for storage conditions and cycling conditions respectively. Subsequently, the real-world calculation is implemented by using the look-up tables in combination with real-world varying conditions and by taking the real-world alternation between storage conditions and cycling conditions into account. The proposed method is not only capable of estimating SoH with a good accuracy for EV batteries operating in varying conditions but also can quantify the contributions to the overall SoH variation of the EVs’ different types of conditions, such as parking, charging, driving (discharging) and regenerative braking. A Jaguar I-PACE EV was taken as the test vehicle and the results show that the estimated SoH was approximately 1% different from the tested SoH.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"147156-147166"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705289","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447188","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 Novel Composite Network Based on Parallel Dual Attention for Underwater Image Enhancement","authors":"Jie Liu;Li Cao;He Deng","doi":"10.1109/ACCESS.2024.3474031","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3474031","url":null,"abstract":"Due to the absorption and scattering of light by suspended particles, underwater images may suffer from color casts, low contrast, and blurred texture details. Traditional statistics-based and physical model-based methods have improved image quality to some extent, yet they fall short in effectively addressing the complex underwater environment and light conditions. Despite significant improvements in handling complex underwater scenes, existing deep learning-based methods still have limitations in restoring texture details and improving image contrast. To address these issues, a novel composite network is proposed based on parallel dual attention. Firstly, a pair of complementary modules, which consists of a multi-branch color enhancement module and a multi-scale pyramid module, is designed to better extract image features from multiple color channels and multiple scales, respectively. Subsequently, a parallel dual attention module is proposed by combining channel and pixel attention mechanisms to further obtain more useful texture details. Finally, a multi-color space stretch module is used to adaptively increase the contrast of images by adjusting histogram distribution in multiple color spaces. Numerous experiments on public datasets have verified the effectiveness and superiority of our composite network in enhancing different underwater images. Compared with state-of-the-art methods, our method achieves excellent performance on paired datasets in terms of full-reference image quality assessment metrics, and has competitive performance on unpaired datasets as well in terms of reference-free image quality assessment metrics, with minimal computational complexity.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"146587-146597"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447205","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":"Ambient IoT Toward 6G: Standardization, Potentials, and Challenges","authors":"Kan Zheng;Rongtao Xu;Jie Mei;Haojun Yang;Lei Lei;Xianbin Wang","doi":"10.1109/ACCESS.2024.3474298","DOIUrl":"https://doi.org/10.1109/ACCESS.2024.3474298","url":null,"abstract":"The Ambient Internet of Things (A-IoT) has emerged as a critical direction for achieving effective connectivity as the IoT system evolves to 6G. However, the introduction of A-IoT technologies, particularly involving backscatter modulation, poses numerous challenges for system design and network operations. This paper surveys current standardization efforts, highlights potential challenges, and explores future directions for A-IoT. It begins with a comprehensive overview of ongoing standardization initiatives by the 3rd Generation Partnership Project (3GPP) on A-IoT, providing a solid foundation for further technical research in both industry and academia. Building upon this groundwork, the paper conducts an analysis of critical enabling technologies for A-IoT. Moreover, a comprehensive A-IoT demonstration system is designed to showcase the practical viability and efficiency of A-IoT techniques, supported by field experiments. We finally address ongoing challenges associated with A-IoT technologies, providing valuable insights for future research endeavors.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"12 ","pages":"146668-146677"},"PeriodicalIF":3.4,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705318","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447223","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}