Measurement最新文献_第2页

Correlation between linear conductance variability and accuracy in neuromorphic computing using AuNP-DNA/HfO2 bilayer memristor devices

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-06 DOI: 10.1016/j.measurement.2025.116960

Myoungsu Chae , Doowon Lee , Hyunbin Lee , Yuseong Jang , Taegi Kim , Youngeun Kim , Hee-Dong Kim

{"title":"Correlation between linear conductance variability and accuracy in neuromorphic computing using AuNP-DNA/HfO2 bilayer memristor devices","authors":"Myoungsu Chae , Doowon Lee , Hyunbin Lee , Yuseong Jang , Taegi Kim , Youngeun Kim , Hee-Dong Kim","doi":"10.1016/j.measurement.2025.116960","DOIUrl":"10.1016/j.measurement.2025.116960","url":null,"abstract":"<div><div>Memristor-based neuromorphic computing needs to improve energy efficiency using eco-friendly materials, but a single active layer with traditional materials still requires an improvement in reliability and performance. We propose a bilayers-memristor with gold nanoparticle (AuNP)-DNA for artificial synapse applications. As a result, the HfO<sub>2</sub>/AuNP-DNA-based memristor exhibits excellent linear weight update and large conductance ratio characteristics with high reliability and tunability. The high linearity of synaptic weights, achieved through simple programming according to pulse amplitude, can particularly enhance the device’s energy efficiency and learning accuracy in neural network applications. We assess the accuracy of the modified national institute of standards and technology simulations to compare the classification accuracy depending on linearity and the ratio of weight update. As a result, the smallest validation loss is observed at –7 V depression voltage, which has the best linearity and optimal conductance ratio, suggesting the potential application of the proposed memristor in neuromorphic computing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116960"},"PeriodicalIF":5.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372331","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

In-flight relative radiometric performance monitoring for DQ-1 directional polarimetric camera based on the ice clouds

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-06 DOI: 10.1016/j.measurement.2025.116967

Bihai Tu , Lanlan Fan , Pingping Yao , Rufang Ti , Guangfeng Xiang , Donggen Luo , Jin Hong

{"title":"In-flight relative radiometric performance monitoring for DQ-1 directional polarimetric camera based on the ice clouds","authors":"Bihai Tu , Lanlan Fan , Pingping Yao , Rufang Ti , Guangfeng Xiang , Donggen Luo , Jin Hong","doi":"10.1016/j.measurement.2025.116967","DOIUrl":"10.1016/j.measurement.2025.116967","url":null,"abstract":"<div><div>The directional polarimetric camera (DPC) has been launched successfully on 16 April 2022, aboard the Atmospheric Environment Monitoring Satellite (DQ-1). The goal of DPC wide field relative radiometric correction is to reduce the response deviation between pixels, thereby presenting the spatial radiometric distribution characteristics of the target at different angles, and it is also the basis of absolute radiometric correction. The in-flight relative radiometric performance is an essential factor in multi-angle data applications. Since the absence of on-board calibrator for DPC, a new method for relative radiometric performance monitoring based on the cloud characterization is proposed. The same satellite platform sensor swing imaging data is utilized as a reference, and the large-area high-altitude thick ice clouds are used as targets to monitor the relative radiometric feature of three polarization channels (490 nm, 670 nm, and 865 nm). This method fully utilizes the synchronous observation of reference instruments and the flat spectral characteristics of thick clouds. From June 2022 to June 2023, the long-term monitoring results indicate that: (1) After several months of adjustment, the instrument began stable operation in June 2022, and only the relative radiometric response deviation of the 490 nm channel was detected to be slightly greater than 3 % (3.75 % at 490 nm, 2.73 % at 670 nm, 2.56 % at 865 nm); (2) The attenuation in the central area is greater than that in the edge area; (3) The variation of shorter wavelength channel is greater than that of longer wavelength channel; (4) the relative radiometric annual variation is less than 7 % (6.43 % at 490 nm, 4.97 % at 670 nm, 4.75 % at 865 nm). The new method can effectively monitor the relative radiometric performance of wide field cameras, providing reference for other similar sensors and the upcoming DQ-2/DPC.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116967"},"PeriodicalIF":5.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376695","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

Monitoring of gas metal arc welding process using optical temperature measurement and neural network modelling

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-06 DOI: 10.1016/j.measurement.2025.116934

Rongwei Yu , Tianyang Zhang , Yong Huang , Kehong Wang

{"title":"Monitoring of gas metal arc welding process using optical temperature measurement and neural network modelling","authors":"Rongwei Yu , Tianyang Zhang , Yong Huang , Kehong Wang","doi":"10.1016/j.measurement.2025.116934","DOIUrl":"10.1016/j.measurement.2025.116934","url":null,"abstract":"<div><div>Online monitoring of the gas metal arc welding (GMAW) process has been a research hotspot in the welding field. A full-penetration butt joint can ensure good GMAW forming quality. This study focuses on the research of monitoring technology for the stability of the GMAW penetration state and proposes a penetration state monitoring method using optical temperature measurement and neural network modelling. First, a GMAW temperature field sensing system is constructed. Second, a temperature field distribution feature extraction algorithm based on a temperature histogram is designed. Finally, using the extracted time sequence temperature distribution characteristics as input, a butt joint quality prediction model is established through a back-propagation neural network and a convolutional neural network (CNN) separately. Experimental test results indicate that the GMAW quality prediction model combined with optical temperature measurement and CNN can achieve high-precision monitoring and excellent generalisation ability, offering powerful technical support for monitoring the GMAW process.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116934"},"PeriodicalIF":5.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376812","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

A composite evaluation method of sub-micro newton thrust in 0.1 mHz to 10 Hz ultra-wide frequency range for TianQin

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-06 DOI: 10.1016/j.measurement.2025.116897

Guanfang Wang, Zhengwentao Cheng, Hongfan Liu, Shanqing Yang, Liangcheng Tu, Zhu Li

{"title":"A composite evaluation method of sub-micro newton thrust in 0.1 mHz to 10 Hz ultra-wide frequency range for TianQin","authors":"Guanfang Wang, Zhengwentao Cheng, Hongfan Liu, Shanqing Yang, Liangcheng Tu, Zhu Li","doi":"10.1016/j.measurement.2025.116897","DOIUrl":"10.1016/j.measurement.2025.116897","url":null,"abstract":"<div><div>Space-based gravitational wave detection requires inertial reference with a residual acceleration noise below <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>15</mn></mrow></msup><mspace></mspace><mi>m</mi><mspace></mspace><msup><mrow><mi>s</mi></mrow><mrow><mo>−</mo><mn>2</mn></mrow></msup><mspace></mspace><msup><mrow><mi>Hz</mi></mrow><mrow><mo>−</mo><mn>1</mn><mo>/</mo><mn>2</mn></mrow></msup></mrow></math></span>, achieved by constructing high-precision drag-free satellites. Sub-micro Newton thrusters serve as actuation mechanisms for high-precision drag-free control to counteract external non-conservative forces on spacecraft. Pre-launch performance test and evaluation on the ground are crucial. However, achieving sub-micro Newton thrust noise in the frequency range of 0.1 mHz to 1 Hz, along with a rapid thrust response of 10 Hz, presents significant challenges for high-precision ground testing and evaluation. In this study, a unified method for weak force calibration evaluation will be established using electrostatic force, combining high resolution torsion pendulum and wide frequency range pendant pendulum test setups. Dynamic transfer function calibration of the two systems will be conducted in different frequency ranges. Ultimately, through composite testing and unified calibration of the two thrust testing systems, the ability to evaluate thrust noise at 0.1 <span><math><mi>μ</mi></math></span>N<span><math><mrow><mspace></mspace><msup><mrow><mi>Hz</mi></mrow><mrow><mo>−</mo><mn>1</mn><mo>/</mo><mn>2</mn></mrow></msup></mrow></math></span> in the ultra-wide range of <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>4</mn></mrow></msup></mrow></math></span> <span><math><mo>∼</mo></math></span>10 Hz is achieved. It will provide technical support to the ground micro-thrust testing for space-based gravitational wave detection as TianQin.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116897"},"PeriodicalIF":5.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378885","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

A dual-band gas sensing metastructure based on CPA for H2 production with SO2 oxidation reaction

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-06 DOI: 10.1016/j.measurement.2025.116965

Jia-Hao Zou , Jun-Yang Sui , Ting-Shuo Yao , Hai-Feng Zhang

{"title":"A dual-band gas sensing metastructure based on CPA for H2 production with SO2 oxidation reaction","authors":"Jia-Hao Zou , Jun-Yang Sui , Ting-Shuo Yao , Hai-Feng Zhang","doi":"10.1016/j.measurement.2025.116965","DOIUrl":"10.1016/j.measurement.2025.116965","url":null,"abstract":"<div><div>This paper presents a high-resolution dual-band gas sensing metastructure (GSM) based on coherent perfect absorptivity (CPA), designed for the concentration detection of hydrogen (H<sub>2</sub>) and sulfur dioxide (SO<sub>2</sub>). By establishing a linear relationship between the frequency shift of the absorptivity peak (AP) and the refractive index variation caused by gas concentration changes, the system simplifies the detection of environmental signals into linear photoelectric signals. Utilizing CPA, the GSM achieves dual-mode sensing for H<sub>2</sub> and SO<sub>2</sub> in different sensitivities through phase control. For H<sub>2</sub> concentration sensing, the two modes exhibit sensitivities of 8.84 THz/RIU and 2.3 THz/RIU, respectively. For SO<sub>2</sub>, the sensitivities are 46.8 THz/RIU and 17.76 THz/RIU. Moreover, for the sensing of both gases, excellent sensing performance can be achieved (high-quality factor is larger than 8.0 × 10<sup>4</sup> and detection limit is less than 2 × 10<sup>-7</sup> RIU). This combining CPA dual-band GSM, offers enhanced accuracy compared with single-band sensors, and provides a promising advancement for future measurement technologies.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116965"},"PeriodicalIF":5.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372324","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

Geometric errors identification and correction based on the unit dual quaternion differential motion linearization

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-05 DOI: 10.1016/j.measurement.2025.116916

Hao Wang, Xiaogeng Jiang

引用次数: 0

Using Mask R-CNN and distance transform to detect elephants on railway tracks for collision prevention

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-05 DOI: 10.1016/j.measurement.2025.116951

S.R. Mathu sudhanan , A. Kaleel Rahuman , S. Mohamed Mansoor Roomi

引用次数: 0

Fault diagnosis of rotating machinery with high-dimensional imbalance samples based on wavelet random forest

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-05 DOI: 10.1016/j.measurement.2025.116936

Zhen Guo , Wenliao Du , Chuan Li , Xibin Guo , Zhiping Liu

{"title":"Fault diagnosis of rotating machinery with high-dimensional imbalance samples based on wavelet random forest","authors":"Zhen Guo , Wenliao Du , Chuan Li , Xibin Guo , Zhiping Liu","doi":"10.1016/j.measurement.2025.116936","DOIUrl":"10.1016/j.measurement.2025.116936","url":null,"abstract":"<div><div>Rotary machinery is the key equipment in industrial production, and its running state directly affects production safety and efficiency. However, in practical applications, rotating machinery often faces the problem of imbalanced data categories, which not only reduces the accuracy of fault diagnosis but also affects the generalization ability of the model. To solve this problem, this paper proposes a wavelet packet transform (WPT) and random forest (RF) combination model called Wavelet Random Forest. Specifically, WPT is used to extract the time domain and frequency domain features of the signal, to reduce the complexity of the signal and enhance its expression ability. Then, the extracted features are classified by RF to improve the efficiency of fault diagnosis and classification performance effectively. The experimental results on two unbalanced datasets show that the proposed method is superior to the traditional methods in fault diagnosis tasks, and has a better classification effect, especially in the identification of a few classes of faults.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116936"},"PeriodicalIF":5.2,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372328","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

Ultra-low frequency three-axis FBG accelerometer for seismic monitoring based on multiple flexible beams

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-05 DOI: 10.1016/j.measurement.2025.116947

Zhongchao Qiu , Yufeng Zhang , Xiaoyong Fan , Caihua Li , Yuntian Teng

{"title":"Ultra-low frequency three-axis FBG accelerometer for seismic monitoring based on multiple flexible beams","authors":"Zhongchao Qiu , Yufeng Zhang , Xiaoyong Fan , Caihua Li , Yuntian Teng","doi":"10.1016/j.measurement.2025.116947","DOIUrl":"10.1016/j.measurement.2025.116947","url":null,"abstract":"<div><div>Seismic monitoring in the ultra-low frequency range (0.0083–20 Hz) is essential for understanding Earth’s structure. Existing electrical instruments are effective but costly and challenging to deploy in complex environments, while FBG accelerometers are adaptable but limited in sensitivity at ultra-low frequencies. This study introduces a high-sensitivity ultra-low frequency three-axis FBG accelerometer with a multi-flexible beam structure. Sensitivity and resonant frequency formulas are derived, and optimization is performed using a differential evolutionary genetic algorithm. A prototype sensor, validated through modal simulations and low-frequency vibration tests, achieves a sensitivity of 1025 pm/g, cross-sensitivity < 4.10 %, and a dynamic range of 97 dB, a flat response in the 0.05–80 Hz frequency range, exhibiting satisfactory sensitivity and precise angular characterization. Additionally, for the first time, a three-channel correlation method was applied to the FBG accelerometer for seismometer self-noise testing. The results enable scalable FBG low-frequency seismic monitoring in harsh environments.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116947"},"PeriodicalIF":5.2,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376809","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

Construction and optimization of asphalt pavement texture characterization model based on binocular vision and deep learning

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-05 DOI: 10.1016/j.measurement.2025.116946

Miao Yu , Rong Zhang , Oudi Tang , Dongzhao Jin , Zhanping You , Zhexi Zhang

{"title":"Construction and optimization of asphalt pavement texture characterization model based on binocular vision and deep learning","authors":"Miao Yu , Rong Zhang , Oudi Tang , Dongzhao Jin , Zhanping You , Zhexi Zhang","doi":"10.1016/j.measurement.2025.116946","DOIUrl":"10.1016/j.measurement.2025.116946","url":null,"abstract":"<div><div>To efficiently characterize the texture of asphalt pavements, a BCTD (Binocular Camera Texture Detection) system is developed based on the principles of binocular stereo vision technology. The system introduces an innovative approach to texture analysis using self-invented TDFA (Tire-pavement Dynamic Friction Analyzer) equipment and long-term anti-skid performance testing. The system facilitates the collection and pre-processing of pavement texture images, achieving an average TOP1 accuracy of 67 % with a measurement precision of 0.1 mm. The results indicate that the model exhibits excellent recognition performance for weak feature images within the same type of pavement texture, effectively characterizing the texture of asphalt pavements. In summary, this study provides a comprehensive and innovative approach to asphalt pavement texture characterization. It advances the field by providing valuable insights into texture analysis, particularly weak features. The BCTD system demonstrates the potential of monitoring the skid resistance of asphalt pavements to improve road safety and maintenance efficiency.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116946"},"PeriodicalIF":5.2,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376811","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