Measurement最新文献

英文中文

Review: Comparison of traditional and modern diagnostic methods in breast cancer 回顾：乳腺癌传统诊断方法与现代诊断方法的比较

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116258

Hussein Kareem Elaibi , Farah Fakhir Mutlag , Ebru Halvaci , Aysenur Aygun , Fatih Sen

The development of non-invasive sensor detection systems is crucial for the effective diagnosis of many types of cancer, including breast cancer. Currently, many diagnostic tools such as CT, mammography, MRI, and ultrasound are used, but more convenient and user-friendly sensors are under development. New sensors provide immediate and non-invasive ways to assess the impact of treatment on physiologic markers and overall disease progression. Innovative devices like iBreastExam, Skinsar™, and iTBra, include personalized sensors such as wearables and non-wearable sensors implanted inside the body. Early methods of detecting breast cancer can be accurate and cost-effective. Recurrence can be predicted and monitored through chemical sensors that detect tumor DNA or proteins circulating in the blood. In addition, monitoring patients with cancer using smart implants, thermal sensors, and image-based sensors provides capability at the level of tissue structure. This article provides an overview of the various sensors used in monitoring cancer patients.

开发无创传感器检测系统对于有效诊断包括乳腺癌在内的多种癌症至关重要。目前，许多诊断工具，如 CT、乳腺 X 射线照相术、核磁共振成像和超声波等都在使用，但更方便、更易操作的传感器正在开发中。新的传感器提供了即时、无创的方法来评估治疗对生理指标和整体疾病进展的影响。iBreastExam、Skinsar™ 和 iTBra 等创新设备包括个性化传感器，如植入体内的可穿戴和非可穿戴传感器。早期检测乳腺癌的方法既准确又经济。通过化学传感器检测血液中循环的肿瘤 DNA 或蛋白质，可以预测和监测复发情况。此外，利用智能植入物、热传感器和基于图像的传感器对癌症患者进行监测，可提供组织结构层面的能力。本文概述了用于监测癌症患者的各种传感器。

引用次数: 0

Machine learning prediction of steel–concrete composite beam temperatures during hot asphalt paving 热沥青摊铺过程中钢-混凝土复合梁温度的机器学习预测

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116257

Yuping Zhang , Yonghao Chu , Jiayao Zou , Chenyu Yu

In the bridge construction process, the temperature distribution within the steel–concrete composite beam (SCCB) under hot asphalt paving is not negligible in its impact on the structural performance. However, traditional static analysis methods for bridge temperature fields, such as temperature measurements and numerical simulations, are plagued by high workload and costly equipment requirements. Therefore, in this study, we explore a machine learning (ML) approach based on field measurements to predict the temperature field of SCCB during hot asphalt paving. The result showed that of the various ML algorithms tested, the K-Nearest Neighbors (KNN) algorithm provided the highest predictive accuracy for the temperature field of SCCB. Through feature selection and experimental analysis, we identify beam temperature (T_bt), hot asphalt temperature (T_s), ambient temperature (T_a), and box interior temperature (T_box) as key features for predicting the temperature of SCCB during hot asphalt paving. This study demonstrates that ML is an powerful tool for predicting the thermal behavior of bridge structures, with potential widespread application in identifying temperature evolution in bridge structures.

在桥梁施工过程中，热沥青摊铺下钢-混凝土组合梁（SCCB）内部的温度分布对结构性能的影响不容忽视。然而，传统的桥梁温度场静态分析方法，如温度测量和数值模拟，存在工作量大、设备成本高等问题。因此，在本研究中，我们探索了一种基于现场测量的机器学习（ML）方法，用于预测热沥青摊铺过程中 SCCB 的温度场。结果表明，在测试的各种 ML 算法中，K-近邻（KNN）算法对 SCCB 温度场的预测精度最高。通过特征选择和实验分析，我们确定了横梁温度 (Tbt)、热沥青温度 (Ts)、环境温度 (Ta) 和箱体内部温度 (Tbox) 作为预测热沥青摊铺过程中 SCCB 温度的关键特征。这项研究表明，ML 是预测桥梁结构热行为的有力工具，有望广泛应用于识别桥梁结构中的温度演变。

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引用次数: 0

Noiseless nanosensor for non-invasive recording of biopotentials 用于无创记录生物电位的无噪音纳米传感器

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116251

D.K. Avdeeva , N.V. Turushev , M.M. Yuzhakov , M.L. Ivanov , A.I. Kornienko , S.I. Enshin , I.V. Maksimov , A.G. Syrkina

We have studied the intrinsic noise of nanosensors. Four technologies for incorporation of silver nanoparticles into porous aluminum–silicon oxide ceramic plates were tested. Before incorporation, the pore volume was 11 %, the pore size was 1 – 5 µm, and the surface area of the pores was 0.182 m². Group (1) included nanoparticles of 167 – 952 nm in size, nanosilver mass was 1.5 – 35.0 %; Group (2) included nanoparticles of 70 – 400 nm in size, nanosilver mass was 0.4 – 68 %; Group (3) included nanoparticles of 49 – 324 nm in size, nanosilver mass was 0.6 – 72.0 %; Group (4) included nanoparticles of 57 – 142 nm in size, nanosilver mass was 12.92 – 31.29 %. After silver nanoparticle incorporation, the pore volume attained 9 %, 8 %, 7 %, and 10 %, respectively. The self-noise energy of nanosensors made of Group (4) plates was virtually zero. Noiseless nanosensors enabled recording of cardiac micropotentials from a level of 50 nV.

我们研究了纳米传感器的固有噪声。我们测试了在多孔氧化铝-氧化硅陶瓷板中加入银纳米粒子的四种技术。加入前，孔隙体积为 11%，孔隙大小为 1 - 5 µm，孔隙表面积为 0.182 m2。第(1)组包括粒径为 167 - 952 nm 的纳米颗粒，纳米银的质量为 1.5 - 35.0 %；第(2)组包括粒径为 70 - 400 nm 的纳米颗粒，纳米银的质量为 0.4 - 68 %；第(3)组包括粒径为 49 - 324 nm 的纳米颗粒，纳米银的质量为 0.6 - 72.0 %；第(4)组包括粒径为 57 - 142 nm 的纳米颗粒，纳米银的质量为 12.92 - 31.29 %。加入纳米银后，孔隙率分别达到 9%、8%、7% 和 10%。第（4）组板制成的纳米传感器的自噪声能量几乎为零。无噪音纳米传感器可记录 50 nV 的心脏微电位。

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引用次数: 0

Assessment of longitudinal load spectrum characteristics and structural fatigue damage of metro vehicle body in service 地铁车体纵向载荷谱特性和结构疲劳损伤评估

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116262

Chao Wang, Tao Zhu, Bing Yang, Shoune Xiao, Guangwu Yang

Aiming at the structural integrity requirements of service vehicles, there is an urgent need to construct a set of analytical methods based on service load characterization to realize the life assessment of the critical weak regions of the vehicle body. This study measured the longitudinal load spectrum of a metro vehicle body under a typical service line using a calibrated coupler and traction bar. Based on the signal characteristics of the longitudinal loads, a dynamic load feature decomposition method is proposed to decompose the longitudinal load features into trend and fluctuation signals to reflect the overall and local laws. The longitudinal load transfer characteristics of the vehicle body under traction, braking, linear, and curved conditions are innovatively analyzed, and a longitudinal load distribution ratio coefficient with generality is proposed as the input of effective service load. The service stress spectrum of the vital points of the vehicle body is constructed, which can more comprehensively and realistically respond to the service stress state of the vehicle body compared with the standard design loads, which further improves the accuracy of the structural integrity assessment.

针对服务车辆的结构完整性要求，迫切需要构建一套基于服务载荷表征的分析方法，以实现对车体关键薄弱区域的寿命评估。本研究使用校准耦合器和牵引杆测量了典型服务线路下地铁车体的纵向载荷谱。根据纵向载荷的信号特征，提出了一种动态载荷特征分解方法，将纵向载荷特征分解为趋势信号和波动信号，以反映整体和局部规律。创新性地分析了牵引、制动、直线、曲线工况下车身纵向载荷传递特性，提出了具有通用性的纵向载荷分布比系数作为有效工况载荷的输入。构建了车体重要点的使用应力谱，与标准设计载荷相比，能更全面、更真实地反应车体的使用应力状态，进一步提高了结构完整性评估的准确性。

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引用次数: 0

Research on the design of posture adjustment structure and control system of carrying robot based on the bionic characteristics of pupae structure 基于蚕蛹结构仿生特性的搬运机器人姿态调整结构及控制系统设计研究

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116240

Jing Hu , Xiang Gao , Jun-chao Niu , Xin-ming Zhang

This paper addresses the challenge of incorrect initial positioning of critical patients during lifting and transportation, which can result in secondary injuries due to manual handling. This study proposes a positioning adjustment structure and control strategy for a lifting and transportation robot, inspired by the morphological characteristics of the pupal structure. The positioning adjustment mechanism determines the necessary adjustment values for the patient’s positioning by establishing a human body coordinate system and calculating the difference between the patient’s actual position and the target position. This mechanism achieves optimal positioning by simulating the oscillation of body segments characteristic of the pupal structure. Additionally, this study establishes a dynamic mathematical model for the overall lifting structure and determine its motion parameters. An order for patient body positioning and adjustment is derived based on the twisting amplitude of the human body. A PID controller is designed for the overall transport structure, incorporating optimization through a particle swarm optimization algorithm. This methodology efficiently mitigates excessive overshoot and accelerates convergence towards the target value, significantly minimizing patient discomfort and fluctuation during the positioning procedure.

本文旨在解决危重病人在移位和运输过程中初始定位不正确，从而导致人工搬运造成二次伤害的难题。本研究受瞳孔结构形态特征的启发，提出了一种起重运输机器人的定位调整结构和控制策略。定位调整机制通过建立人体坐标系，计算患者实际位置与目标位置之间的差值，确定患者定位所需的调整值。该机制通过模拟瞳孔结构所特有的身体摆动来实现最佳定位。此外，这项研究还建立了整体升降结构的动态数学模型，并确定了其运动参数。根据人体的扭转幅度，得出了病人身体定位和调整的顺序。通过粒子群优化算法进行优化，为整体运输结构设计了一个 PID 控制器。这种方法能有效缓解过大的超调，并加速向目标值收敛，从而大大减少定位过程中病人的不适感和波动。

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引用次数: 0

A two-stage mitigation method for optical turbulence-induced errors in vision-based structural displacement measurement 基于视觉的结构位移测量中光学湍流诱发误差的两阶段缓解方法

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116261

Xiulin Zhang , Wensong Zhou , Xize Chen , Yonghuan Wang , Qi Wu

Vision-based structural displacement measurement techniques have been widely applied. However, the visual sensors used for remote monitoring of structures in high-temperature weather are easily affected by optical turbulence, which introduces errors in displacement measurement. Therefore, this paper proposes a two-stage optical turbulence-induced error alleviation method. In the first stage, the steerable pyramid method is used to decompose the monitoring video and perform temporal filtering on the phase, which can significantly attenuate the motion and distortion caused by optical turbulence in the video. In the second stage, a feature point matching method considering the weighted distance is used to track the multi-point displacement in the reconstructed video to improve the robustness of feature point tracking, and the results are spatially filtered to improve measurement accuracy. The effectiveness of the proposed method has been verified through laboratory experiments and on-site testing.

基于视觉的结构位移测量技术已得到广泛应用。然而，用于高温天气下结构远程监测的视觉传感器很容易受到光学湍流的影响，从而在位移测量中引入误差。因此，本文提出了一种两阶段的光学湍流误差缓解方法。在第一阶段，采用可转向金字塔法对监测视频进行分解，并对相位进行时间滤波，这样可以显著减弱视频中光学湍流引起的运动和失真。第二阶段，采用考虑加权距离的特征点匹配方法来跟踪重建视频中的多点位移，以提高特征点跟踪的鲁棒性，并对结果进行空间滤波，以提高测量精度。通过实验室实验和现场测试，验证了所提方法的有效性。

引用次数: 0

Deep learning-based image analysis with RTFormer network for measuring 2D crystal size distribution during cooling crystallization of β form L-glutamic acid 基于RTFormer网络的深度学习图像分析用于β型l -谷氨酸冷却结晶过程中二维晶体尺寸分布的测量

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116227

Hui Wang , Ji Fan , Tao Liu , Luyao Yan , Hongbin Zhang , Grace Li Zhang , Rolf Findeisen

In this paper, a deep learning-based image analysis method is proposed for in-situ measurement of two-dimensional (2D) crystal size distribution during the cooling crystallization process of β form L-glutamic acid (β-LGA). Firstly, an image quality assessment strategy is presented for in-situ snapshotted crystal images to distinguish different crystallization stages, followed by image enhancement for the snapshotted images in each stage to facilitate analysis. Then, an edge-guided network based on the RTFormer network is developed to acquire precise crystal image segmentation and boundary location, thus improving the identification accuracy on crystal image boundary and its internal body. The network performance is further enhanced by using hyperparameter optimization and a class balance strategy. Subsequently, another identification strategy is developed to distinguish agglomerated and overlapped crystal images, so as to acquire more individual crystals for statistical measurement. Finally, the 2D size of each crystal is calculated based on the major axis and maximum inscribed circle of its segmented image. Experiments on measuring the 2D size distributions of crystal populations during β-LGA crystallization process are performed to verify the accuracy and efficiency of the proposed measurement method.

本文提出了一种基于深度学习的图像分析方法，用于β型l -谷氨酸（β- lga）冷却结晶过程中二维（2D）晶体尺寸分布的原位测量。首先，提出了原位快照晶体图像的图像质量评估策略，以区分不同的结晶阶段，然后对每个阶段的快照图像进行图像增强，以便于分析。然后，在RTFormer网络的基础上开发了一种边缘引导网络，实现了晶体图像的精确分割和边界定位，从而提高了晶体图像边界及其内部体的识别精度。采用超参数优化和类平衡策略进一步提高了网络性能。随后，开发了另一种识别策略，以区分聚集和重叠的晶体图像，从而获得更多的单个晶体进行统计测量。最后，根据分割图像的长轴和最大内切圆计算出每个晶体的二维尺寸。通过测量β-LGA结晶过程中晶体居群的二维尺寸分布，验证了该测量方法的准确性和效率。

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引用次数: 0

Imaging geometric simulation and vibration influence analysis of rotary scanning remote sensing satellites 旋转扫描遥感卫星的成像几何模拟和振动影响分析

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116108

Tianyu Zhang , Xiubin Yang , Qipeng Cao , Cheng Wei , Xibin Cao

In response to the lack of in-orbit image and vibration impact measurement methods for new rotary scanning satellites, this paper proposed a satellite imaging geometric simulation method based on 3D rendering engine. Simulated images that reflect strict object-image mapping and real-time dynamic image motion compensation process of TDI cameras are generated. On this basis, the consistency of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) in measuring vibration influence is analyzed, and a theoretical approximate solution for the sensitive frequency of sinusoidal vibration is obtained, which is inversely proportional to the number of rows of the image to be evaluated and the camera integration time. Finally, the correctness of the image motion compensation model is demonstrated through simulations under different working conditions, and the relative deviation between the experimental values of sensitive frequencies and theoretical results is within −15% to 20%.

针对新型旋转扫描卫星缺乏在轨图像和振动影响测量方法的问题，本文提出了一种基于三维渲染引擎的卫星成像几何模拟方法。生成的模拟图像严格反映了 TDI 相机的物像映射和实时动态图像运动补偿过程。在此基础上，分析了峰值信噪比（PSNR）和结构相似度（SSIM）在测量振动影响方面的一致性，得到了正弦振动敏感频率的理论近似解，该频率与待评估图像的行数和相机积分时间成反比。最后，通过在不同工作条件下进行模拟，证明了图像运动补偿模型的正确性，敏感频率的实验值与理论结果之间的相对偏差在-15% 到 20% 之间。

引用次数: 0

3D measurement method based on Gray code and single sine fringe image 基于灰度编码和单正弦条纹图像的 3D 测量方法

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116182

Shuhuan Han , Yanxi Yang , Xubo Zhao , Xinyu Zhang

FPP has been widely used in the industrial field and with the development of this technology, improving the measurement efficiency becomes a hot direction. Based above, a new single phase-shifting method is proposed in this paper. First, the background intensity is reduced in the sine fringe image and the processed image is normalized to double precision number [-1,1]. Then, we perform arcsine operation and adjust the results according to the Gray code array to get the wrapped phase. Finally, the wrapped phase is combined with the Gray code array and compensated according to the actual situation to get the unwrapped phase. The proposed method could obtain the relevant 3D information from single sine fringe image. Experiments show that the corresponding measurement efficiency is improved by 50% compared with the complementary Gray code combines 2+1 phase-shifting profilometry and the complementary Gray code combines N+2 phase-shifting profilometry.

FPP 已广泛应用于工业领域，随着该技术的发展，提高测量效率成为一个热门方向。在此基础上，本文提出了一种新的单相移方法。首先，降低正弦条纹图像中的背景强度，并将处理后的图像归一化为双精度数 [-1,1]。然后，进行余弦运算，并根据灰度编码阵列调整结果，得到包裹相位。最后，将包裹相位与灰度编码阵列相结合，并根据实际情况进行补偿，得到解包裹相位。所提出的方法可以从单正弦条纹图像中获取相关的三维信息。实验表明，与互补灰度编码组合 2+1 移相轮廓测量法和互补灰度编码组合 N+2 移相轮廓测量法相比，相应的测量效率提高了 50%。

引用次数: 0

Study on the Electric potential response of coal seam damage under mining Influence: A Case from laboratory to field testing 采矿影响下煤层破坏的电势响应研究：从实验室到现场测试的案例

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2024-11-16 DOI: 10.1016/j.measurement.2024.116244

Zesheng Zang , Zhonghui Li , Yue Niu , Shan Yin , Xiangguo Kong

Understanding the electrical potential (EP) response of coal mining process and its corresponding relationship with mining disturbances is of great significance for the safety construction of coal mining. In this paper, laboratory experiments and field tests on stress coal EP response were conducted. According to experimental findings, the EP intensity increases with the increase of stress level, and a sudden increase in EP occurs when local fracture happens. During stress wave loading, the EP exhibits periodic fluctuation characteristics. With the attenuation of stress waves, the EP shows exponential decay characteristics. Near the main fault zone, localized strain features are observed, leading to the generation of anomalous EP regions with densely packed contour lines. As the mining working face continues to advance, the stress gradually increases, the EP signal shows a “step-like” periodic upward trend. Significant variations in EP intensity exist across measuring points, yet the overarching evolution trends remain consistent. The intensity and distribution of the EP signal can reflect the stress state and damage of the mining working surface.

了解煤炭开采过程中的电位（EP）响应及其与开采扰动的相应关系，对煤炭开采的安全建设具有重要意义。本文对应力煤电势响应进行了实验室实验和现场测试。实验结果表明，EP 强度随应力水平的增加而增加，当局部断裂发生时，EP 会突然增加。在应力波加载过程中，EP 呈周期性波动特征。随着应力波的衰减，EP 呈指数衰减特征。在主断层带附近，观察到局部应变特征，从而产生了等高线密集的 EP 异常区域。随着采矿工作面的不断推进，应力逐渐增大，EP 信号呈 "阶梯状 "周期性上升趋势。不同测量点的 EP 强度存在显著差异，但总体演变趋势保持一致。EP 信号的强度和分布可以反映采矿工作面的应力状态和破坏情况。

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