Measurement最新文献_第7页

A lightweight convolutional neural network super-resolution method to improve the quality of target image in space measurement tasks 在空间测量任务中提高目标图像质量的轻量级卷积神经网络超分辨率方法

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116242

Bingzan Liu , Yizhen Yang , Hongyu Chen

{"title":"A lightweight convolutional neural network super-resolution method to improve the quality of target image in space measurement tasks","authors":"Bingzan Liu , Yizhen Yang , Hongyu Chen","doi":"10.1016/j.measurement.2024.116242","DOIUrl":"10.1016/j.measurement.2024.116242","url":null,"abstract":"<div><div>With the rapid advancement of space technology, space target observation images have become an essential tool for the precise measurement and shape analysis of spacecraft. However, due to the challenging conditions of the space environment, these images often suffer from blurring and distortion, which hampers the effectiveness of spacecraft observation and measurement missions. Although recent progress has been made in super-resolution reconstruction techniques, the limited processing capacity of on-board equipment prevents the direct deployment of these high-complexity methods. In this paper, we propose an efficient and lightweight super-resolution reconstruction algorithm called the Pyramid Frequency-Aware Network for space target observation images. Specifically, we use a divide-and-conquer strategy to separately process low-frequency and high-frequency features, ensuring high-quality feature extraction while reducing the number of parameters. To further improve the model’s ability to capture edge and detailed texture information, we introduce a pyramidal wavelet decomposition and a multi-scale large separable kernel attention model. For high-frequency information, we design an enhanced fusion convolution block that facilitates multi-scale feature extraction and channel mixing. Furthermore, we have established a dataset of space target observation images, which can serve as a valuable reference for future studies on the reconstruction of such images. Extensive experimental results demonstrate that our Pyramid Frequency-Aware Network achieves an excellent balance between peak signal-to-noise ratio, structural similarity index, number of parameters, flops, and running time, both on public standard datasets and our self-built space target observation image dataset. Additionally, the network is lightweight enough to be deployed on resource-constrained equipment, such as satellites.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116242"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701536","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}

引用次数: 0

Secondary measurement standard for calibration of dynamic pressure sensor to bridge the gap between existing static and dynamic standards 校准动态压力传感器的二级测量标准，弥补现有静态和动态标准之间的差距

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116253

Eynas Amer, Gustav Jönsson, Fredrik Arrhén

{"title":"Secondary measurement standard for calibration of dynamic pressure sensor to bridge the gap between existing static and dynamic standards","authors":"Eynas Amer, Gustav Jönsson, Fredrik Arrhén","doi":"10.1016/j.measurement.2024.116253","DOIUrl":"10.1016/j.measurement.2024.116253","url":null,"abstract":"<div><div>A secondary measurement standard filling the gap between the available static and dynamic standards was developed. The standard utilizes a quick-opening valve and bursting diaphragms to generate step-like pressures with amplitude of few kilopascals to 10 MPa and with frequency content from 10<sup>-2</sup> Hz to 800 Hz. An important design feature of the developed standard lies in the usage of aluminium diaphragms, allowing short rise times and high frequency content. The standard is based on two reference sensors, calibrated statically and dynamically. The reference sensors showed a linear dynamic response in the intermediate frequency range and was in good agreement with the static calibration results. Therefore, extrapolation of shock tube results was implemented. To demonstrate the capabilities of the developed standard, three pressure measurement systems were characterized, and their respective dynamic response was calculated. The results show that the developed standard can provide calibration information that are not currently available.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116253"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low velocity thermal anemometer with precise, digitally controlled temperature compensation 低速热风速仪具有精确的数字控制温度补偿功能

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116260

Zbigniew Popiolek, Maria Hurnik

引用次数: 0

A multi-target regression-based method for multiple orders remaining completion time prediction in discrete manufacturing workshops 基于多目标回归的离散制造车间多订单剩余完成时间预测方法

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116231

Mingyuan Liu , Jian Zhang , Shengfeng Qin , Kai Zhang , Shuying Wang , Guofu Ding

{"title":"A multi-target regression-based method for multiple orders remaining completion time prediction in discrete manufacturing workshops","authors":"Mingyuan Liu , Jian Zhang , Shengfeng Qin , Kai Zhang , Shuying Wang , Guofu Ding","doi":"10.1016/j.measurement.2024.116231","DOIUrl":"10.1016/j.measurement.2024.116231","url":null,"abstract":"<div><div>Accurate prediction of multiple orders remaining completion time (MORCT) is crucial in the make-to-order production model. It enables managers to keep track of production status, make timely decisions, and ensure on-time delivery of orders. However, dynamic production environments, characterized by constantly changing order quantities and relationships, as well as the special temporal features of the production process, pose challenges to existing prediction methods. To address these issues, this paper proposes a novel framework based on multi-target regression. First, production data are collected and standardized from various sources using multiple data transfer protocols. The input dataset is then constructed and dynamically adjusted to accommodate changes in order quantities and priorities. Finally, a prediction model named DMTR-LSA is developed to effectively handle the specific temporal relationships in the production data by integrating long short-term memory (LSTM) and self-attention mechanisms. A case study in a real production workshop demonstrates that the proposed method supports simultaneous prediction of multiple orders. It outperforms existing methods on several evaluation metrics, reducing the average prediction error by more than 8.9%. These results highlight the practical value of the proposed method for predicting MORCT in dynamic production environments and its potential impact to enhance the production decision-making process.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116231"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701406","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}

引用次数: 0

Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising 利用 Mahalanobis 规范进行完全多变量去趋势波动分析，并将其应用于多变量信号去噪

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116142

Khuram Naveed , Naveed ur Rehman

{"title":"Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising","authors":"Khuram Naveed , Naveed ur Rehman","doi":"10.1016/j.measurement.2024.116142","DOIUrl":"10.1016/j.measurement.2024.116142","url":null,"abstract":"<div><div>Detrended fluctuation analysis (DFA) has become an important tool for the long-range correlation and local regularity fluctuation analysis of nonstationary time series data. While the method is well-established and well-understood for single time series data, its extensions for multivariate data (comprising multiple channels) are still emerging. A major challenge in that regard is to incorporate inherent inter-channel dependencies within the DFA analysis. We propose a novel method to address that challenge through Mahalanobis distance (MD) norm that provides an analytical way to incorporate covariance matrix within the computation of the proposed multichannel fluctuation function. Through analytical analysis and experimental results, we show that incorporation of cross-channel correlations within the fluctuation function makes the rendered long-range correlation analysis more accurate for the multivariate correlated data. Next, we next demonstrate the utility of the proposed generic multichannel DFA (GMDFA) within the multivariate signal denoising problem(s). To this end, our denoising approach first obtains data driven multiscale signal representation by multi-stage use of multivariate variational mode decomposition (MVMD) method. Then, proposed GMDFA is used to reject the predominantly noisy modes based on their randomness scores.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116142"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701403","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}

引用次数: 0

Simultaneous measurement of underwater temperature and pH based on composite F-P fiber interference sensor coated by SCA-PVA/GO hybrid multilayer structure 基于 SCA-PVA/GO 混合多层结构涂层的复合 F-P 光纤干涉传感器同步测量水下温度和 pH 值

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116237

Bin Yin , Zhuxuan Jiang , Shilin Liu , Guofeng Sang , Yanzhi Lv , Muguang Wang , Shiying Xiao , Beilei Wu , Qichao Wang , Li Pei , Songhua Wu

{"title":"Simultaneous measurement of underwater temperature and pH based on composite F-P fiber interference sensor coated by SCA-PVA/GO hybrid multilayer structure","authors":"Bin Yin , Zhuxuan Jiang , Shilin Liu , Guofeng Sang , Yanzhi Lv , Muguang Wang , Shiying Xiao , Beilei Wu , Qichao Wang , Li Pei , Songhua Wu","doi":"10.1016/j.measurement.2024.116237","DOIUrl":"10.1016/j.measurement.2024.116237","url":null,"abstract":"<div><div>A composite Fabry-Perot (F-P) fiber optic sensor based on the vernier effect is fabricated, and experiments confirmed that it can be used to simultaneously measure underwater temperature and pH. The fiber optic sensor fabricated with single mode fiber (SMF) − multi mode fiber (MMF) − seven core fiber (SCF) − quartz capillary tube (QCT) − no core fiber (NCF) structures has contained a silane coupling agent-polyvinyl alcohol/graphene oxide (SCA-PVA/GO) hybrid multilayer film to enhance the sensor performance. Two types of sensors are fabricated, one with a plane end face and another with a tapered end surface, which named as sensor 1 and sensor 2, respectively. Their performance are experimentally demonstrated. Within the temperature range of 15°C-35°C and the pH range of 7.55–9.21, the sensitivities of sensor 1 to temperature and pH are 82.94 pm/°C and 1.16 dB/pH, while the corresponding values of sensor 2 are 39.26 pm/°C and 0.4 dB/pH. Experimental results demonstrated that the sensitivities of sensor 1 to temperature and pH are higher than that of sensor 2. But compared with sensor 2, sensor 1 has higher values of crosstalk and random error. By contrast, sensor 2 maintain a good linear relationship with the environmental dual parameters, allowing for the simultaneous measurement of underwater temperature and pH. Moreover, both sensors demonstrate good stability and reversibility when the temperature and pH are varied. Furthermore, the pH response times of the two sensors are less than 0.5 s, with a recovery time of 2 s. Thus, the proposed sensors with outstanding stability, reversibility, repeatability, and rapid response times will have a broad range of applications in the fields of marine environment monitoring, water quality detection, and food and medical device safety testing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116237"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701796","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}

引用次数: 0

Sizing the depth and thickness of flat metallic inclusions using modulated photothermal radiometry 利用调制光热辐射测量法确定平面金属夹杂物的深度和厚度

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116249

Agustín Salazar , Jorge Gil , Jon Pérez-Arbulu , Arantza Mendioroz

引用次数: 0

Rapid repetition survey of engineering control network based on the concept of Internet of Things 基于物联网概念的工程控制网络快速重复调查

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116250

Jianguo Zhou , Yanchong Chen , Jian Yu , Pai Pan , Wei Xiao

{"title":"Rapid repetition survey of engineering control network based on the concept of Internet of Things","authors":"Jianguo Zhou , Yanchong Chen , Jian Yu , Pai Pan , Wei Xiao","doi":"10.1016/j.measurement.2024.116250","DOIUrl":"10.1016/j.measurement.2024.116250","url":null,"abstract":"<div><div>The engineering control network provides a unified spatial reference for engineering construction, and the repetition survey is to check the stability of the control points and maintain the reference. Classical repetition survey method with total station requires manual adjustment of the orientations of target prisms, leading to high human cost and low efficiency. In this paper, a method for rapid repetition survey of engineering control network based on the concept of Internet of Things is proposed. A repetition survey assistant system is first developed by adding multiple sensors to the circular prism, which realizes remote automatic orientation adjustment through LoRa technology from the station point. Then repetition survey is accomplished automatically with a robotic total station. Experiments show that the differences in horizontal and vertical angle readings under different directions of the 360° prism can be up to 11″ and 6.8″, and its angular misclosure is easy to exceed the limit, which verifies the necessity of the developed remote-controlled prism. Actual repetition survey project shows that remote-controlled prisms assisted method can achieve submillimeter-level precision, which is comparable to classical one with total station only. And the efficiency can be improved by 67 %-133 %. Considering that environmental occlusions may affect the precision of some control points when repetition survey with GNSS, the proposed method has precision advantages and good application prospects despite slight lower efficiency than GNSS.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116250"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701705","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}

引用次数: 0

Combustion phases of magnesium alloys based on predicted heating rate using machine learning 基于机器学习预测加热速率的镁合金燃烧阶段

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116192

Muhammad Zeeshan Farooq , Yiyong Wu , Liangxing Lu , Mingyi Zheng

引用次数: 0

Research and application on deep learning-based point cloud completion for marine structures with point coordinate fusion and coordinate-supervised point cloud generator 基于深度学习的海洋结构点云补全与点坐标融合及坐标监督点云生成器的研究与应用

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116246

Shuo Han , Shengqi Yu , Xiaobo Zhang , Luotao Zhang , Chunqing Ran , Qianran Zhang , Hongyu Li

{"title":"Research and application on deep learning-based point cloud completion for marine structures with point coordinate fusion and coordinate-supervised point cloud generator","authors":"Shuo Han , Shengqi Yu , Xiaobo Zhang , Luotao Zhang , Chunqing Ran , Qianran Zhang , Hongyu Li","doi":"10.1016/j.measurement.2024.116246","DOIUrl":"10.1016/j.measurement.2024.116246","url":null,"abstract":"<div><div>The problem of missing point clouds is prevalent in the actual point clouds of Marine Structures (MS) obtained based on three-dimensional laser scanning technology. To achieve the completion tasks for MS, this paper proposes a deep learning network, MS-PCN, and builds a point cloud completion dataset, MS-dataset. MS-PCN employs both point coordinate fusion module and coordinate-supervised point cloud generator to improve the accuracy of point cloud completion for MS. Extensive experiments conducted on MS-dataset and public dataset ShapeNet-55 demonstrate the effectiveness of MS-PCN in point cloud completion within scenarios featuring MS as well as its generalizability in other scenarios. MS-PCN achieved a Chamfer Distance (CD) of 0.31 and an F-score of 0.58 on MS-dataset and a CD of 0.70 and an F-score of 0.505 on ShapeNet-55 dataset. Furthermore, point cloud completion could serve as a valuable precursor to the surface reconstruction of MS, improving its reconstruction accuracy and visualization effects.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116246"},"PeriodicalIF":5.2,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701537","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}

引用次数: 0