IEEE Access最新文献_第8页

DR_PVNet: An Improved PVNet Network for Weakly Textured Object Pose Estimation in Indoor Complex Environments

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3534856

Mengru Niu;Changyong Li

{"title":"DR_PVNet: An Improved PVNet Network for Weakly Textured Object Pose Estimation in Indoor Complex Environments","authors":"Mengru Niu;Changyong Li","doi":"10.1109/ACCESS.2025.3534856","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3534856","url":null,"abstract":"6D pose estimation of objects is an essential task in computer vision. However, estimating the 6D pose of a weakly textured object from an image is challenging due to the occluded environment and the weakly textured appearance. PVNet locates the 2D keypoints by obtaining the segmentation results of the object and the prediction results of the dense unit vector field of the keypoints, followed by a voting strategy. This method shows some robustness to weakly textured object pose estimation. In order to enhance the precision of target object segmentation and the efficacy of the voting scheme, this paper builds upon the PVNet model to develop DR_PVNet, which is capable of performing pose estimation for weakly textured objects in complex environments. The first step is to add the RFB_a module between the encoder and decoder, enhancing the semantic segmentation of the network. Secondly, a distance filtering scheme is incorporated into the keypoint voting scheme to force pixels that are further away from the keypoint hypotheses to improve the vote quality. The DR_PVNet algorithm achieves a 2D projection metric of 99.38% and an ADD(-S) metric of 90.12 % on the weakly textured public dataset LINEMOD. Finally, the methodology of this paper is extended to the pose estimation of weakly textured objects in everyday life using a dataset production method rendered by BlenderProc. The 2D projection metric reached 94.95%, and the ADD(-S) metric reached 91.65 % for the self-made dataset.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"19576-19587"},"PeriodicalIF":3.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10855419","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183869","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}

引用次数: 0

Toward Generality of a Framework for Quantifying Biomechanical Stability: Demonstration on the Ankle

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3535406

Aleksander Skrede;Andreas Fagerhaug Dalen;Alf Inge Hellevik;Øyvind Stavdahl;Robin T. Bye

{"title":"Toward Generality of a Framework for Quantifying Biomechanical Stability: Demonstration on the Ankle","authors":"Aleksander Skrede;Andreas Fagerhaug Dalen;Alf Inge Hellevik;Øyvind Stavdahl;Robin T. Bye","doi":"10.1109/ACCESS.2025.3535406","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3535406","url":null,"abstract":"This paper presents a mathematical description and experimental investigation of using an industrial robot to evaluate biomechanical stability in human cadaveric ankle specimens. We previously proposed a methodology and parameterizable task-space motion framework for biomechanical investigations of shoulders. The present study aimed to demonstrate the generality and application of our framework to replicate an ankle test protocol from the literature, and to experimentally evaluate the replicated test protocol. Stability tests in cadaveric studies can be performed by applying a known force or torque to the joint, and measuring the resulting linear or angular motion. The relative stability between joint states can be determined by comparing the magnitude of motion, for example, between the intact, injured, or surgically repaired states. Increased joint motion between states can be interpreted as decreased stability, whereas decreased joint motion can be interpreted as increased stability. Comparing the motion between different states can be used to investigate the effects of soft tissue or bony structures on stability. The replicated protocol was tested in a technical pilot study using a fresh frozen human cadaveric ankle specimen. The specimen was tested in the intact state and in three subsequent injury states. This pilot study demonstrated that the framework could successfully be parameterized to conduct tests on the ankle joint. The expected trend for subsequent injury states was progressive instability, and the observed trends from experimental testing aligned with this prior expectation. However, additional work on the framework is necessary to make it truly generalized.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"21723-21733"},"PeriodicalIF":3.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10855448","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183808","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}

引用次数: 0

Adaptive Interference Restriction Among Spatial Streams Based on Difference in Singular Values for PAPR Reduction in Uplink Eigenmode Massive MIMO Transmission

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3534783

Yuta Abekura;Takanori Hara;Satoshi Suyama;Satoshi Nagata;Kenichi Higuchi

{"title":"Adaptive Interference Restriction Among Spatial Streams Based on Difference in Singular Values for PAPR Reduction in Uplink Eigenmode Massive MIMO Transmission","authors":"Yuta Abekura;Takanori Hara;Satoshi Suyama;Satoshi Nagata;Kenichi Higuchi","doi":"10.1109/ACCESS.2025.3534783","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3534783","url":null,"abstract":"In this paper, we propose two peak-to-average power ratio (PAPR) reduction methods that apply adaptive in-band interference restriction based on singular value differences between spatial channels in uplink eigenmode massive multiple-input multiple-output (MIMO) transmission. In uplink transmission utilizing high-frequency bands, reducing PAPR is crucial to suppress non-linear distortion and ensure sufficient transmission distance, given the stringent amplification requirements of power amplifiers. Therefore, the proposed methods direct the PAPR reduction signals caused by clipping and filtering (CF) only to spatial channels with relatively small singular values, thereby avoiding in-band interference in spatial channels with larger singular values, which are more susceptible to such interference compared to the case without PAPR reduction. After that, the two proposed methods restrict PAPR reduction signals for all or a subset of subcarriers based on the transmission quality requirements. Both interference restrictions allow for more effective PAPR reduction while tolerating interference in the data streams. Computer simulations demonstrate that the transmission quality of the proposed methods is improved by up to approximately 30% compared to the case without PAPR reduction. Moreover, a comparative evaluation of the two proposed methods demonstrates that the interference restriction across all subcarriers effectively mitigates in-band interference caused by the resulting PAPR reduction signals while reducing the PAPR.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"21520-21532"},"PeriodicalIF":3.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10855449","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105688","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}

引用次数: 0

3-DOF Inertial Piezoelectric Actuator for Angular Positioning of the Optical Mirror

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3534847

Andrius Čeponis;Dalius Mažeika;Regimantas Bareikis

{"title":"3-DOF Inertial Piezoelectric Actuator for Angular Positioning of the Optical Mirror","authors":"Andrius Čeponis;Dalius Mažeika;Regimantas Bareikis","doi":"10.1109/ACCESS.2025.3534847","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3534847","url":null,"abstract":"Article introduces a novel 3-DOF piezoelectric actuator designed to achieve the high-precision angular motion of a spherical rotor and an optical mirror around three axes. The actuator consists of three interlinked piezoelectric bimorph plates arranged in a low-profile triangular structure. Each piezoelectric plate contains a cylindrical contact that is used to transfer the vibrations to induce the angular motion of the rotor. The actuator has a low profile and is mounted on a printed circuit board (PCB), enhancing its structural integrity. The actuator occupies a footprint of 986 mm2 and, including the rotor, weighs 35.5 g. The actuator operation is based on the inertial stick-slip principle, using the first and second out-of-plane bending modes of the bimorph plates. Simultaneous excitation of the second vibration mode of all three bimorph plates produces angular motion of the rotor around the vertical axis. In contrast, the excitation of the first vibration mode of the individual plate enables angular motion around one of the horizontal axes. Numerical analysis identified the vibration modes, resonant frequencies, and mechanical and electromechanical characteristics of the actuator, leading to design optimization of clamping beams and contact locations on the bimorph plates. Experimental measurements revealed that the maximum rotation speeds are 363.7 RPM around the vertical axis and 129.1 RPM around the horizontal axis. Maximum torques of 218.2 mN/m and 159.7 mN/m were achieved around the vertical and horizontal axes, respectively, when the actuator is driven at 200 V<inline-formula> <tex-math>$_{mathrm {p-p}}$ </tex-math></inline-formula>. The actuator demonstrated angular resolutions of 2.47 mrad and 1.033 mrad for the vertical and horizontal axes, respectively.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"20025-20039"},"PeriodicalIF":3.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10855440","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105768","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}

引用次数: 0

A Deep Q-Learning Algorithm With Guaranteed Convergence for Distributed and Uncoordinated Operation of Cognitive Radios

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3534657

Ankita Tondwalkar;Andres Kwasinski

{"title":"A Deep Q-Learning Algorithm With Guaranteed Convergence for Distributed and Uncoordinated Operation of Cognitive Radios","authors":"Ankita Tondwalkar;Andres Kwasinski","doi":"10.1109/ACCESS.2025.3534657","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3534657","url":null,"abstract":"This paper studies a deep reinforcement learning technique for distributed resource allocation among cognitive radios operating under an underlay dynamic spectrum access paradigm which does not require coordination between agents during learning. The key challenge that is addressed in this work is that of a non-stationary reinforcement learning environment that arises from the uncoordinated and distributed radios operation over a shared wireless environment. This challenge is illustrated by presenting a simulation result where the use of a standard single-agent deep reinforcement learning approach does not achieve convergence because of being applied in the uncoordinated interacting multi-radio scenario. To address this challenge, this work presents the uncoordinated and distributed multi-agent DQL (UDMA-DQL) technique that combines a deep neural network with learning in exploration phases, and with the use of a Best Reply Process with Inertia for the gradual learning of the best policy. Key in the study of UDMA-DQL herein, it is shown by considering aspects specific to deep reinforcement learning, that under an arbitrarily long time the UDMA-DQL technique converges with probability one to equilibrium policies in the non-stationary environment resulting from the distributed and uncoordinated operation of cognitive radios. This analytical study is confirmed through simulation results showing that, in cases when an optimal policy can be identified, UDMA-DQL is able to find such policy in 99% of cases for a sufficiently long learning time. Importantly, further simulations show that the presented UDMA-DQL approach achieves a much faster learning performance compared to an equivalent table-based Q-learning implementation.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"19678-19693"},"PeriodicalIF":3.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10854424","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105868","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}

引用次数: 0

Assessment of Rear-End Collision Risk Based on a Deep Reinforcement Learning Technique: A Break Reaction Assessment Approach

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3534787

Muhammad Sameer Sheikh;Yinqiao Peng

{"title":"Assessment of Rear-End Collision Risk Based on a Deep Reinforcement Learning Technique: A Break Reaction Assessment Approach","authors":"Muhammad Sameer Sheikh;Yinqiao Peng","doi":"10.1109/ACCESS.2025.3534787","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3534787","url":null,"abstract":"Rear-end crashes are a major type of traffic crash that occur more frequently on the road, leading to a large number of injuries and fatalities each year around the world. Examining the overtaking behaviors and predicting the collision risk probability are essential issues for preventing a rear-end collision risk and improving road safety. To this end, we proposed the rear-end collision model to examine the risks associated with the lagging vehicle (LAV) movements. Specifically, this research aims to develop a model for assessing rear-end collision risks by considering different braking reaction times (BRTs) of the LAV. Firstly, we introduce the deep neural network (DNN) to learn the movements of LAV. Then, a collision-free modeling based on the deep reinforcement model (DRM) is proposed to mitigate the collision risks associated with LAV movements to nearby vehicles thus improving traffic safety. Finally, we incorporate the generalized linear model (GLM)-based BR time with driver’s driving behavior, aiming to identify the driver’s distraction with different vehicle movements. Various performance metrics, such as modified time to collision (MTTC), deceleration rate to avoid collision (DRAC), and post-collision change in velocity (Delta-V), are used to identify rear-end conflicts and to demonstrate the effectiveness of the developed model. The simulation results indicated that the developed model could reduce rear-end collision risks with the leading vehicle (LEV) based on different LAV speeds. Furthermore, the North Carolina (NC) traffic real-time crash data is used to demonstrate the efficacy of the developed model. The results indicated that different traffic conditions, such as driver behaviors, and road and climate conditions influence the severity of rear-end crashes.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"20171-20190"},"PeriodicalIF":3.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10855413","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106007","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}

引用次数: 0

MLOps Components, Tools, Process, and Metrics: A Systematic Literature Review

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3534990

Adrian P. Woźniak;Mateusz Milczarek;Joanna Woźniak

{"title":"MLOps Components, Tools, Process, and Metrics: A Systematic Literature Review","authors":"Adrian P. Woźniak;Mateusz Milczarek;Joanna Woźniak","doi":"10.1109/ACCESS.2025.3534990","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3534990","url":null,"abstract":"With the growing popularity of machine learning, implementations of the environment for developing and maintaining these models, called MLOps, are becoming more common. The number of publications in this area is relatively small, although growing rapidly. Our goal was to review the current state of the literature in the MLOps area and answer the following research questions: What classes of tools are used in MLOps environments? Which tool implementations are the most popular? What processes are implemented within MLOps? What metrics are used to measure the effectiveness of MLOps implementation? Based on this review, we identified classes of tools included in the MLOps architecture, along with their most popular implementations. While some tools originate from DevOps practices, others, such as Model Orchestrators, Feature Stores, and Model Repositories, are unique to MLOps. We propose a reference MLOps architecture based on these findings and outline the stages of the model production process. We also sought metrics that would allow us to assess and compare the effectiveness of MLOps practices, but unfortunately, we were unable to find a satisfactory answer in this area.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"22166-22175"},"PeriodicalIF":3.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10855428","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184326","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}

引用次数: 0

Digital Rebirth of Dongba Pattern: An Improved Active Contour Model for Pattern Contour Extraction

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3534401

Yuan Li;Tao Wu;Rongbing Fu;En Lu

{"title":"Digital Rebirth of Dongba Pattern: An Improved Active Contour Model for Pattern Contour Extraction","authors":"Yuan Li;Tao Wu;Rongbing Fu;En Lu","doi":"10.1109/ACCESS.2025.3534401","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3534401","url":null,"abstract":"In response to the time-consuming and laborious problem of manually drawing elements in existing poster designs, this paper proposes a method for extracting the contours of Dongba patterns based on improved active contour model. The improved active contour method adds discrete wavelet transform for energy minimization. Moreover, the minimization formula assigns greater weight to foreground pixels. In addition, to prevent evolutionary instability during the iteration process, we employed an optimization process that is specifically designed to maintain clear contours along the edges of the pattern. Based on the established Dongba pattern dataset, the qualitative and quantitative analyses are conducted on the proposed method. The results indicate that the proposed improved active contour model has advantages in contour extraction visual quality and evaluation indicators compared to existing methods, demonstrating the effectiveness of the proposed method. Finally, based on the proposed pattern contour extraction method, the design innovation practice of Dongba cultural posters is completed from two aspects: pattern selection and transformation, artistic processing and poster design. The code is available at: <uri>https://github.com/jsluen/IACM</uri>.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"20810-20819"},"PeriodicalIF":3.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10854450","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105478","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}

引用次数: 0

Development of a Zero-Bias Detector Based on T-Type Structure

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3534292

Xiaobo Zhang;Jin Meng;Jingtao Zhou;Baijun Zhang;Zenghui Liu;Zexing Yuan

引用次数: 0

Scalable Context-Based Facial Emotion Recognition Using Facial Landmarks and Attention Mechanism

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-01-27 DOI: 10.1109/ACCESS.2025.3534328

Savina Jassica Colaco;Dong Seog Han

{"title":"Scalable Context-Based Facial Emotion Recognition Using Facial Landmarks and Attention Mechanism","authors":"Savina Jassica Colaco;Dong Seog Han","doi":"10.1109/ACCESS.2025.3534328","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3534328","url":null,"abstract":"Deciphering emotions from a person’s perspective is critical for meaningful human relationships. Enabling computers to interpret emotional cues similarly could significantly improve human-machine interaction. Accurate emotion recognition involves more than just analyzing facial expressions; it requires situational context and facial landmarks, which together reveal a broader range of emotional states. Existing emotion recognition frameworks primarily focus on facial imaging, often overlooking the contextual elements and the subtle significance of facial landmarks. This paper proposes a scalable approach to emotion recognition that combines situational context comprehension, accurate facial landmark detection, and facial feature analysis. Due to its scalability, our model can be applied across diverse computational platforms and operational circumstances while maintaining high performance. The model’s robustness and utility were validated against the EMOTIC benchmark, achieving an impressive overall accuracy of 84%. The findings underscore the importance of incorporating contextual information and facial landmarks to enhance emotion recognition accuracy. This advancement is expected to contribute substantially to fields such as augmented reality, medical imaging, and sophisticated human-computer interaction systems.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"20778-20791"},"PeriodicalIF":3.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10854474","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105507","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}

引用次数: 0