Measurement最新文献

{"title":"Design and analysis of high-sensitivity hormone sensor with KNN behavior prediction for healthcare and biomedical applications","authors":"Jacob Wekalao ,&nbsp;Abdullah Baz ,&nbsp;Shobhit K. Patel","doi":"10.1016/j.measurement.2024.116172","DOIUrl":"10.1016/j.measurement.2024.116172","url":null,"abstract":"<div><div>This study presents an advanced sensor system integrating gold metasurfaces with graphene for the detection of reproductive hormones via refractive index variations. The proposed design operates under terahertz (THz) excitation to exploit the unique molecular signatures of hormones and minimize potential interferences. Comprehensive numerical analysis and finite element method (FEM) simulations were conducted to optimize the sensor’s design parameters and evaluate its efficacy. The optimized sensor exhibits exceptional performance metrics, including a peak sensitivity of 375 GHzRIU⁻1, a figure of merit (FOM) of 7.693 RIU⁻1, a quality factor (Q) of 2.381, and a limit of detection (LOD) of 0.556 RIU. Furthermore, the sensor demonstrates two-bit encoding capabilities through modulation of graphene’s chemical potential. Integration of a K-Nearest Neighbors (KNN) Regressor model enhances the sensor’s accuracy while reducing required resources and simulation time by approximately 85 %. These findings demonstrate the sensor’s potential for diverse applications, particularly in the biomedical field.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116172"},"PeriodicalIF":5.2,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of etched surface topography with the compensation of contactless vibrational measurement errors","authors":"Przemysław Podulka ,&nbsp;Lucia Knapčíková ,&nbsp;Rebeka Tauberová ,&nbsp;Matúš Martiček ,&nbsp;Enes Sukić","doi":"10.1016/j.measurement.2024.116218","DOIUrl":"10.1016/j.measurement.2024.116218","url":null,"abstract":"<div><div>A comprehensive evaluation of surface topography can contribute to many appropriate responses on the properties of manufactured products. Precise measurement and data processing may allow for improvement in the control quality. Many advantages were achieved in the increasing accuracy of the surface topography measuring devices and whole control systems. Since contactless measuring equipment is much faster than tactile, analysis of surface topography for industrial applications was encouraged under the non-contact systems. However, those rapidly evolving measuring techniques are fraught with many external disturbances which can radically affect the final surface topography measurement results. One<!--> <!-->of the often considered errors is those strictly related to the vibrations. As the effect of this type of external disturbance, the surface topography measurement results are burdened with the occurrence of high-frequency noise. A standardised and often proposed method for the compensation of this type of measurement error is to repeat the measurement process and average the received results. It seems to be the most encouraging proposal, however, the time-reducing requirements from the industry performance do not pose this solution as optimal. Therefore, a well-known and often used in surface metrology is an S-filter, data processing algorithm based on the Gaussian weighting function. From many intensive studies, it was concluded that this filtering approach may increase errors in the calculation of ISO 25178 surface texture parameters. Some of the ISO 25178 surface texture parameters were distorted by more than 100%, especially those sensitive to the occurrence of high-frequency measurement noise. Therefore, alternatively, to the general Gaussian filter, many other filtering methods were applied in surface metrology. However, the process of selection of a vibrational noise reduction filter must be validated before any proposals. One of the main objectives of the present work is to guide the regular user on how to select an appropriate filtering method for many types of etched surface topographies measured with a contactless white light interference method considering the reduction of both high-frequency noise and its impact on the variations of surface texture parameters. From the studied filtering methods, the spline filter gave the most encouraging results. As the final, the proposed methodology was validated in terms of ISO 25178 surface texture parameters evaluation comparing them to the results obtained by an international procedure based on the measurement repetitions.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116218"},"PeriodicalIF":5.2,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A roadmap to fault diagnosis of industrial machines via machine learning: A brief review","authors":"Govind Vashishtha ,&nbsp;Sumika Chauhan ,&nbsp;Mert Sehri ,&nbsp;Radoslaw Zimroz ,&nbsp;Patrick Dumond ,&nbsp;Rajesh Kumar ,&nbsp;Munish Kumar Gupta","doi":"10.1016/j.measurement.2024.116216","DOIUrl":"10.1016/j.measurement.2024.116216","url":null,"abstract":"<div><div>In fault diagnosis, machine learning theories are gaining popularity as they proved to be an efficient tool that not only reduces human effort but also identifies the health conditions of the machines automatically. In this work, an attempt has been made to systematically review the progress of machine learning theories in fault diagnosis from scratch to future perspectives. Initially, artificial intelligence came into the picture which started to weaken the human effort whose efficiency relies on feature extraction which depends on expert knowledge. The introduction of deep learning theories has reformed the fault diagnosis process by realising the artificial aid, encouraging end-to-end encryption in the diagnostic procedure. The deep learning theories have also filled the gap between the large amount of monitoring data and the health conditions of industrial machines. The future of deep learning theories i.e. transfer learning which uses the knowledge of one domain to another related domain during fault diagnosis has been reviewed. In last, the research trends of the machine learning theories have been briefly discussed along with their challenges in fault diagnostics.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116216"},"PeriodicalIF":5.2,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurement and analysis of heterogeneous road transport parameters using Smart Traffic Analyzer and SUMO Simulator:An experimental approach","authors":"Santhiya Ravindran,&nbsp;Gurukarthik Babu Balachandran,&nbsp;Prince Winston David","doi":"10.1016/j.measurement.2024.116233","DOIUrl":"10.1016/j.measurement.2024.116233","url":null,"abstract":"<div><div>The main objective of research work is to study the characteristics of heterogeneous road transport environment &amp; compare its dynamic parameters with the performance metrics measurement in terms of error rate &amp; accuracy for vehicle count and classification using Smart Traffic Analyzer (STA) and SUMO Traffic Simulator. SUMO GUI is a simple tool for microscopic traffic simulation and helps to obtain vehicle dynamic parameters in the easiest way. Experimental research is also carried out by capturing live traffic video at study area of four way intersection road and analyzed through STA. The outcome results from SUMO and STA explicit overall accuracy of 96.63 %, and 95.62 % for vehicle count with the error rate of 3.35% &amp; 4.37%. Similarly for vehicle classification, it provides the overall accuracy of 97.21% and 83.01% with the error rate of 2.78% &amp; 16.97% respectively.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116233"},"PeriodicalIF":5.2,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proposal of an alternative method for residual stress measurements in clad nickel alloy after shot peening","authors":"Vladimir Ivanovitch Monine ,&nbsp;João da Cruz Payão Filho ,&nbsp;Mara Cardoso Gonçalves Rios Alonso Munhoz ,&nbsp;Joaquim Teixeira de Assis","doi":"10.1016/j.measurement.2024.116230","DOIUrl":"10.1016/j.measurement.2024.116230","url":null,"abstract":"<div><div>Cladding of Ni-based superalloy 625 is often used to enhance mechanical resistance and corrosion performance of the high strength low alloy pipeline, for use in CO₂ injection units in oil wells. It is well known that the use of the shot peening can improve its properties by creating a thin surface layer with compressive residual stresses. In this regard, the aim of this work is to propose an alternative method to evaluate the residual stresses of clad Ni-based superalloy 625 based on the deflection measurements of a thin strip separated from the shot peened samples by EDM cutting. The stress distribution in shot peened layer was measured by XRD sin²ψ method with electrolytic removal of surface layers. Measurements by the alternative and XRD method showed that the difference between the average stress values determined by these methods is 4%.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116230"},"PeriodicalIF":5.2,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-resolution weld defect detection with RSU-MLP and dynamic kernel supervision","authors":"Liangliang Li ,&nbsp;Peng Wang ,&nbsp;Ying Li ,&nbsp;Zhigang Lü ,&nbsp;Yuntao Xu ,&nbsp;RuoHai Di ,&nbsp;Xiaoyan Li ,&nbsp;Tingjing Geng","doi":"10.1016/j.measurement.2024.116208","DOIUrl":"10.1016/j.measurement.2024.116208","url":null,"abstract":"<div><div>The challenges posed by high-resolution X-ray images of weld defects—including fuzzy features, multi-scale variability, small targets, and sample imbalance—create significant obstacles for accurate defect localization. Traditional deep learning methods typically emphasize global image characteristics, often neglecting local and multi-scale information, which leads to the inaccurate detection of small defects. To address this issue, we propose a novel high-resolution weld defect detection method called RSU-MLP. This method combines the RSU-MLP network with multi-scale feature extraction technology to effectively capture both local and global image features. Additionally, we design a dynamic kernel adaptive segmentation head based on a hybrid extended convolutional attention mechanism, which adaptively adjusts the receptive field size of the convolutional kernel, thereby enhancing detection capabilities for defects of varying scales. Furthermore, an in-depth supervision mechanism is introduced to monitor and learn defects at different levels of the network, leading to improved detection performance. Experimental results on real high-resolution welding datasets demonstrate that the proposed method achieves promising results in welding defect detection. Compared to traditional approaches, this method provides more accurate detection and identification of various welding defects, achieving DICE and Jaccard scores of 75.97% and 64.01%, respectively. This represents the best performance, demonstrating both robustness and generalization capabilities. Consequently, it offers a reliable automated detection method for producing high-quality welded products.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116208"},"PeriodicalIF":5.2,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An approach for accurately extracting vehicle trajectory from aerial videos based on computer vision","authors":"Cunshu Pan ,&nbsp;Zhenhua Dai ,&nbsp;Yuhao Zhang ,&nbsp;Heshan Zhang ,&nbsp;Mengwei Fan ,&nbsp;Jin Xu","doi":"10.1016/j.measurement.2024.116212","DOIUrl":"10.1016/j.measurement.2024.116212","url":null,"abstract":"<div><div>Vehicle trajectory data holds valuable information for advanced driving development and traffic analysis. While unmanned aerial vehicle (UAV) offer a broader perspective, the detection of small-scale vehicles in video frames still suffers from low accuracy or is even missed. This study proposes a comprehensive technical framework for accurate vehicle trajectory extraction, encompassing six main components: video stabilization, vehicle detection, vehicle tracking, lane marking detection, coordinate transformation, and data denoising. To mitigate video jitter, the SURF and FLANN stabilization algorithms are utilized. An enhanced detector based on You Only Look Once X (YOLOX) is employed for multi-target vehicle detection, incorporating a shallow feature extraction module within the detection head to improve the performance for low-level and small-scale features. Efficient Channel Attention (ECA) modules are integrated before the neck to further boost the expressiveness. Additionally, a sliding window inference method is applied at the input stage to prevent compression of high-resolution video frames. The Savitzky-Golay filter is used for trajectory noise reduction. Verification results demonstrate that the improved YOLOX achieves a mean average precision (mAP) of 88.7 %, an enhancement of 5.6 % over the original model. When compared to advanced YOLOv7 and YOLOv8 models, the proposed method increases mAP@50 by 7.63 % and 1.07 %, respectively. The Mostly Tracked (MT) trajectories metric reaches 98.9 %, and the root-mean-square error of one-sided localization is approximately 0.05 m. These results confirm that the proposed framework is an effective tool for high-accuracy vehicle trajectory data collection in traffic studies. Additionally, a vehicle trajectory dataset has been developed and is publicly accessible at <span><span>www.cqskyeyex.com</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116212"},"PeriodicalIF":5.2,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An ultra-low loss balloon-type single stress-applying optical fiber refractive index sensor","authors":"Yuxi Ma ,&nbsp;Ruijie Liu ,&nbsp;Bing Han ,&nbsp;Qian Cheng ,&nbsp;Yiming Tao ,&nbsp;Luyao Wang ,&nbsp;Riqing Lv ,&nbsp;Yong Zhao","doi":"10.1016/j.measurement.2024.116186","DOIUrl":"10.1016/j.measurement.2024.116186","url":null,"abstract":"<div><div>In the field of refractive index (RI) sensing, macro-bending sensors have been widely studied for their advantages of low loss and easy fabrication. Here, an ultra-low loss balloon-type single stress-applying fiber (SSAF) sensor is demonstrated. The sensor is manufactured by splicing SSAF between two single-mode fibers (SMFs) in a balloon shape. The sensing of different RI solutions is realized based on the strong evanescent field characteristics generated by the SSAF with a stress-sensitive zone during bending. Compared with other macro-bending sensors, the RI sensitivity of the proposed sensor with a bend diameter of 0.95 cm has been doubled, reaching up to 387.09 nm/RIU in the range of 1.3308–1.3628, with a resolution of 0.0013 and a loss of 2.22 dB. The sensor has a compact structure, low processing difficulty, strong reproducibility, and low loss, which provides a new way for the development prospects of biomedical science, environmental monitoring, food safety, etc.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116186"},"PeriodicalIF":5.2,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extraction of asymptotic edges of microcracks in silicon nitride bearings based on adaptive nonlocal mean filtering and iterative tracking algorithm","authors":"Xiang Ning ,&nbsp;Lingfeng Yu ,&nbsp;Xianqi Liao ,&nbsp;Zengguang Lai ,&nbsp;Hu Cheng ,&nbsp;Dahai Liao","doi":"10.1016/j.measurement.2024.116215","DOIUrl":"10.1016/j.measurement.2024.116215","url":null,"abstract":"<div><div>The gradual change edge of the Si₃N₄ bearing roller microcracks with decreasing gray gradients are difficult to be extracted by threshold segmentation. The method for extracting the gradual change edge of Si₃N₄ bearing roller microcracks using adaptive non-local mean filtering and an iterative tracking algorithm is proposed. Widely distributed, large-span, dense noise is eliminated from the gradual change edges of microcracks in Si₃N₄ bearing roller microcrack images. In the iterative expansion process of microcrack defect shape, the gradual change edge pixel of microcrack is accurately tracked. The Si₃N₄ bearing roller microcrack image is enhanced by adaptive non-local mean filtering. The following are the experimental findings: The PSNR and SNR reach 38.12 dB and 40.94 dB, respectively. The microcrack gradual change edge pixels can be extracted with an edge coverage rate of 92.5 % and an accuracy of 93.8 % using the iterative tracking algorithm for Si₃N₄ bearing roller microcrack images.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116215"},"PeriodicalIF":5.2,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust underwater SLAM fusing bathymetric and range information","authors":"Zhu Yixian ,&nbsp;Ma Teng ,&nbsp;Fan Jiajia ,&nbsp;Jiang Yanqing ,&nbsp;Li Ye ,&nbsp;Liao Yulei ,&nbsp;Qi Chi","doi":"10.1016/j.measurement.2024.116223","DOIUrl":"10.1016/j.measurement.2024.116223","url":null,"abstract":"<div><div>Bathymetric simultaneous localization and mapping (BSLAM) can accurately locate an autonomous underwater vehicle (AUV) in deep-sea missions, but it cannot provide real-time location results for vehicles prior to revisit due to the lack of overlap between bathymetric measurements. A real-time estimate of the vehicle’s location can not only help the vehicle to follow the given path accurately but reduce the number of invalid bathymetric associations caused by the nearly flat seafloor terrain. In this paper, we proposed a bathymetric and range information fused underwater SLAM (BRSLAM) method that estimates the vehicle’s position in real time by combining both bathymetric data and range measurements. In particular, a probabilistic graph partitioning algorithm (PGPA) was proposed to identify range outliers, and an information-theoretic node reduction method was presented to reduce the computational complexity of BRSLAM. Playback experiments showed that the BRSLAM can provide accurate navigation results with no more than 4 beacons.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116223"},"PeriodicalIF":5.2,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}