IEEE Transactions on Instrumentation and Measurement最新文献_第2页

Adaptive EPI-Matching Cost for Light Field Disparity Estimation 用于光场差异估计的自适应 EPI 匹配成本

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-12 DOI: 10.1109/TIM.2024.3488147

Tun Wang;Hao Sheng;Rongshan Chen;Ruixuan Cong;Mingyuan Zhao;Zhenglong Cui

{"title":"Adaptive EPI-Matching Cost for Light Field Disparity Estimation","authors":"Tun Wang;Hao Sheng;Rongshan Chen;Ruixuan Cong;Mingyuan Zhao;Zhenglong Cui","doi":"10.1109/TIM.2024.3488147","DOIUrl":"https://doi.org/10.1109/TIM.2024.3488147","url":null,"abstract":"Light field (LF) technology captures information from multiple directions and angles, enabling precise disparity estimation. Recently, matching cost-based approaches have advanced rapidly and shown satisfactory results. However, these methods typically depend on fixed disparity candidates, leading to inadequate utilization of candidates and making them unsuitable for LF scenes with varying baselines. Multidirection line structures of epipolar-plane images (EPIs) associate multiple viewpoints, adaptively perceiving disparity ranges and accurately matching features in real scenes. In this article, we propose an adaptive EPI-matching cost (AEMC) for LF disparity estimation, which is proven to enhance the adaptability across datasets with varying baselines. Our approach calculates pixel-level disparity candidates to keep the predicted distribution near the ground truth (GT) and matches line structures to improve accuracy. Then, to enhance robustness during the adaptive process, we introduce an intra-EPI extraction module that dynamically establishes correlations in the local EPI while supplementing spatial information. Finally, we present a network named adaptive EPI-matching cost network (AEMCNet) for LF disparity estimation. Experimental results demonstrate that AEMCNet achieves state-of-the-art (SOTA) performance and robustness on various LF datasets with different baselines. Specifically, on the sparse LF dataset, our method reduces the mean square error (mse) by 49.6%.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-13"},"PeriodicalIF":5.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672098","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

Errata to “A Spherical Coil Array for the Calibration of Whole-Head Magnetoencephalograph Systems” 用于校准全头脑磁图系统的球形线圈阵列 "勘误表

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-12 DOI: 10.1109/TIM.2024.3475788

Yoshiaki Adachi;Daisuke Oyama;Masanori Higuchi;Gen Uehara

{"title":"Errata to “A Spherical Coil Array for the Calibration of Whole-Head Magnetoencephalograph Systems”","authors":"Yoshiaki Adachi;Daisuke Oyama;Masanori Higuchi;Gen Uehara","doi":"10.1109/TIM.2024.3475788","DOIUrl":"https://doi.org/10.1109/TIM.2024.3475788","url":null,"abstract":"In the above article [1], there is an error in (9). The correct equation is as below: begin{equation*} hat {sigma }^{2}=frac {sum _{j=1}^{16} Delta V_{j}^{2}}{16-6} =frac {sum _{j=1}^{16}left ({{V_{mathrm {cal}, j}-V_{mathrm {meas}, j}}}right )^{2}}{10}.end{equation*} The above error resulted in the calculated values for uncertainty displayed in Fig. 5 and Table III being smaller by 18%. The figure and table reflecting the correct values are as follows:TABLE IIISensor Parameters With Uncertainties channelx(mm)y(mm)z(mm) $n_x$ $n_y$ $n_z$ g(nT/V)CH240.39±0.5820.72±0.56163.84±0.410.1028±0.00840.1757±0.00810.9791±0.00171.176±0.011CH28116.76±0.22-14.51±0.293.61±0.230.9929±0.0008-0.1178±0.00690.0157±0.00691.135±0.008CH55-10.63±0.32116.38±0.2122.02±0.440.0262±0.00780.9993±0.0003-0.0254±0.00031.065±0.008CH115-135.52±0.577.07±0.6278.59±0.60-0.2907±0.00280.3784±0.00960.8788±0.00271.137±0.016CH140-19.74±0.42-116.89±0.3226.20±0.56-0.0926±0.0094-0.9951±0.00110.0352±0.00141.038±0.009The values following the plus-minus signs (±) correspond to uncertainties with a coverage factor $k=1$ . Fig. 5.Fig. 5.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-1"},"PeriodicalIF":5.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10750891","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600445","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

Design, Fabrication, and Calibration of an IR-Based Ballistic Chronograph 红外弹道计时码表的设计、制造和校准

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-11 DOI: 10.1109/TIM.2024.3493894

Dhruv Narayan Mudgal;Naresh Bhatnagar

{"title":"Design, Fabrication, and Calibration of an IR-Based Ballistic Chronograph","authors":"Dhruv Narayan Mudgal;Naresh Bhatnagar","doi":"10.1109/TIM.2024.3493894","DOIUrl":"https://doi.org/10.1109/TIM.2024.3493894","url":null,"abstract":"A chronograph is a device that measures the time between two events. This article discusses the design, fabrication, and calibration of a ballistic chronograph designed to measure the time taken by a projectile to travel a fixed distance between two checkpoints, A and B, along a straight line. The infrared transmitter-receiver pairs at A and B and an Arduino microcontroller circuit confirm that the projectile has crossed these checkpoints. The duration of this event is precisely recorded in the microcontroller’s memory. The system was designed to measure speeds up to 3500 m/s for a projectile 50 mm in length. The time uncertainty of the chronograph was found to be \u0000<inline-formula> <tex-math>$0.71~mu $ </tex-math></inline-formula>\u0000s. Distance between the checkpoints was measured with a CNC-mounted probe with an uncertainty of 0.10 mm. The overall cost of this local chronograph is 4–33 times lower than the commercially available chronographs. The novelty of the device lies in its calibration, which was performed using another Arduino circuit programmed to control the blinking of the IR LEDs. Two IR pulses of specified widths separated by a specified time interval were sent by electronically controlling the IR sources and detected and measured by the IR sensors. This optoelectronic method of calibration eliminated the need for field calibration, simplifying the process.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-7"},"PeriodicalIF":5.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142691796","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

Absolute Position Encoders Using Double-Track Gray Codes 使用双轨灰色编码的绝对位置编码器

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-11 DOI: 10.1109/TIM.2024.3493887

Ashkan Fakhri;Abdolber Mallah Livani

引用次数: 0

Defect Detection Method for Self-Lubricating Sliding Bearing Coating Using Terahertz Total Variation Image Fusion 利用太赫兹全变异图像融合的自润滑滑动轴承涂层缺陷检测方法

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-08 DOI: 10.1109/TIM.2024.3493873

Zhenghao Zhang;Tingting Shi;Yi Huang;Shuncong Zhong;Caihong Zhuang;Yonglin Huang;Zhixiong Chen;Xincai Liu;Xuefeng Chen

{"title":"Defect Detection Method for Self-Lubricating Sliding Bearing Coating Using Terahertz Total Variation Image Fusion","authors":"Zhenghao Zhang;Tingting Shi;Yi Huang;Shuncong Zhong;Caihong Zhuang;Yonglin Huang;Zhixiong Chen;Xincai Liu;Xuefeng Chen","doi":"10.1109/TIM.2024.3493873","DOIUrl":"https://doi.org/10.1109/TIM.2024.3493873","url":null,"abstract":"Structural defects in self-lubricating sliding bearings would lead to local stress concentration and service life reduction. The absence of accurate detection technology for micro defects in self-lubricating coating has seriously limited their application in mechanical equipment. A total variation (TV) fusion terahertz imaging method is proposed toward the unidentifiable micro defect induced by overlapping terahertz echoes. First, a range of indicators is developed to quantify the alterations of signal characteristics in different stages of the defect. Subsequently, the TV fusion based on these indicator images could clearly identify different defects. After that, a multinomial regression model is established through the mathematical relation of defect thicknesses and indicators, thus the defect thickness could be obtained accurately. The experimental results for surface defect detection and internal delamination measurement demonstrate the high accuracy and excellent robustness of the proposed method, making it attractive for defect detection and quality assessment of self-lubricating coating.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-15"},"PeriodicalIF":5.6,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142691717","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

Stiffness Matching of Cantilever Beam at Multipositions for Diaphragm Volume Pump Driving 多位置悬臂梁刚度匹配用于隔膜容积泵驱动

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-08 DOI: 10.1109/TIM.2024.3493880

Bin Ju;Chao An;Yuzhi Gao;Ke Zhang;Siliang Lu;Yongbin Liu

{"title":"Stiffness Matching of Cantilever Beam at Multipositions for Diaphragm Volume Pump Driving","authors":"Bin Ju;Chao An;Yuzhi Gao;Ke Zhang;Siliang Lu;Yongbin Liu","doi":"10.1109/TIM.2024.3493880","DOIUrl":"https://doi.org/10.1109/TIM.2024.3493880","url":null,"abstract":"This study aims to enhance the energy output of a cantilever beam (CB) by employing an analytical approach centered on stiffness matching. First, a single spring with the simplest structure is used as the driving load, with the root, middle, and end of the CB as driving sources, establishing a multiposition driving model. Theoretical analysis and finite element simulations are then conducted to elucidate the correlation between the energy output at each driving position of the CB and the stiffness of the spring. Subsequently, in order to test and evaluate the external excitation performance of the CB, the load structure of which the output is easy to observe, test and quantify must be selected. A diaphragm volume pump (DVP) is, hence, chosen as the driving load instead of the spring. A CB-driven DVP structure is established, and dynamic model analysis and fluid-solid coupling simulation are conducted. Findings suggest that the optimal stiffness for the diaphragm to match with the CB decreases as the CB’s external output stiffness diminishes, irrespective of the CB’s operational mode. An experimental setup featuring the CB-driven DVP is constructed for empirical validation, and the experimental outcomes corroborate the simulation results.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-13"},"PeriodicalIF":5.6,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645554","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 Multidepth Step-Training Convolutional Neural Network for Power Machinery Fault Diagnosis Under Variable Loads 用于变负荷下电力机械故障诊断的多深度阶跃训练卷积神经网络

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-08 DOI: 10.1109/TIM.2024.3485394

Lin Jiewei;Gou Xin;Zhu Xiaolong;Liu Zhisheng;Dai Huwei;Liu Xiaolei;Zhang Junhong

{"title":"A Multidepth Step-Training Convolutional Neural Network for Power Machinery Fault Diagnosis Under Variable Loads","authors":"Lin Jiewei;Gou Xin;Zhu Xiaolong;Liu Zhisheng;Dai Huwei;Liu Xiaolei;Zhang Junhong","doi":"10.1109/TIM.2024.3485394","DOIUrl":"https://doi.org/10.1109/TIM.2024.3485394","url":null,"abstract":"Due to the operation conditions of variable loads, it is challenging to achieve high-accuracy fault diagnosis of power machinery. The attention mechanism is widely used in this issue because of its ability to capture domain-invariant features of vibration signals. However, when the problem is specific to thermal engine diagnosis, the attention collapse can be caused by the interaction between load patterns and fault patterns. Consequently, the deep features converge to decrease the network generalization. To address this issue, this research employs the ensemble learning of crowd intelligence strategy, which is opposite to the attention mechanism of elite strategy. A multidepth step-training convolutional neural network (MDNN) is proposed. The multidepth architecture enhances feature diversity, and the step-training feature ensemble incorporates features into decision-making, thus overcoming feature convergence. The MDNN is tested using two datasets: a light-duty rotor-bearing test rig (electromechanical system) and a heavy-duty diesel engine test rig (thermodynamic machinery). According to the results, for the load-varying diesel engine, the attention mechanism exacerbates feature convergence, whereas MDNN effectively mitigates it. Meanwhile, with the mixture of four engine loads, the diagnosis accuracy of the attention mechanism-based network falls sharply to 54.27% from 59.20%, while the MDNN rises to 95.46%. The results offer a promising method for load-varying fault diagnosis of thermodynamic machinery and give a comprehensive understanding of the importance of avoiding feature convergence in the prognostic diagnosis of diesel engines.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-14"},"PeriodicalIF":5.6,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645488","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

Optimized Fuzzy Slope Entropy: A Complexity Measure for Nonlinear Time Series 优化的模糊斜率熵：非线性时间序列的复杂性度量

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-08 DOI: 10.1109/TIM.2024.3493878

Yuxing Li;Ge Tian;Yuan Cao;Yingmin Yi;Dingsong Zhou

{"title":"Optimized Fuzzy Slope Entropy: A Complexity Measure for Nonlinear Time Series","authors":"Yuxing Li;Ge Tian;Yuan Cao;Yingmin Yi;Dingsong Zhou","doi":"10.1109/TIM.2024.3493878","DOIUrl":"https://doi.org/10.1109/TIM.2024.3493878","url":null,"abstract":"Entropy has long been a subject that has attracted researchers from a diverse range of fields, including healthcare, finance, and fault detection. Slope entropy (SE) has recently been proposed as a new approach to address the shortcomings of permutation entropy (PE), which ignores magnitude information; however, SE is sensitive to parameters \u0000<inline-formula> <tex-math>$boldsymbol {gamma }$ </tex-math></inline-formula>\u0000 and \u0000<inline-formula> <tex-math>$boldsymbol {delta }$ </tex-math></inline-formula>\u0000, and some information may be lost when segmenting symbols. The \u0000<inline-formula> <tex-math>$boldsymbol {delta }$ </tex-math></inline-formula>\u0000, moreover, has only a limited gain on the time series classification performance of SE and increases the algorithm complexity. Considering the aforementioned limitations, this study introduces the concept of fuzzification to the SE and eliminates the \u0000<inline-formula> <tex-math>$boldsymbol {delta }$ </tex-math></inline-formula>\u0000 to simplify the parameters, resulting in the proposal of fuzzy SE (FuSE); furthermore, we incorporate the artificial rabbit optimization (ARO) algorithm to optimize the parameter \u0000<inline-formula> <tex-math>$boldsymbol {gamma }$ </tex-math></inline-formula>\u0000 to enhance the effectiveness of FuSE for time series classification and finally proposed an optimized FuSE (OFuSE). OFuSE can greatly reduce the information loss in the mapping process and adaptively search for the optimal parameter. The study evaluated FuSE and OFuSE on several synthetic datasets and concluded that FuSE is more sensitive to changes in signal amplitude and frequency while confirming the advantage of OFuSE in classification. The application of OFuSE on three different real datasets verifies that its classification performance and generalization ability are better than other entropy methods.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-14"},"PeriodicalIF":5.6,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636492","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 Multisensor Feature Fusion Attention Convolutional Neural Network for Complex Magnetic Leakage 针对复杂磁泄漏的多传感器特征融合注意卷积神经网络

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-08 DOI: 10.1109/TIM.2024.3493872

Xianming Lang;Ze Wang

{"title":"A Multisensor Feature Fusion Attention Convolutional Neural Network for Complex Magnetic Leakage","authors":"Xianming Lang;Ze Wang","doi":"10.1109/TIM.2024.3493872","DOIUrl":"https://doi.org/10.1109/TIM.2024.3493872","url":null,"abstract":"Among complex defects, small defects in oil and gas pipelines are easily submerged and difficult to detect. To improve the detection accuracy for small defects in complex magnetic flux leakage (MFL) signals, we propose a weak supervision method called multisensor feature fusion attention convolutional neural network (FACNN). First, an improved conditional adversarial generation network is presented, which introduces a supervised loss function at the analog signal level to reduce the number of parameter iterations for sample generation. Second, the feature extraction module uses the decoupled fully connected (DFC) attention mechanism and a convolutional neural network parallel structure to aggregate the features gathered at the center of the image and the features of the convolutional neural network, from which the small defect features can be fully extracted. Third, the feature fusion module uses the proposed loss function to guide the fusion of axial, radial, and circumferential signal feature maps, which enhances the effective propagation among small defect features. Finally, the experimental results show that the average detection accuracy of the proposed method for detecting small defects reaches 96.7%, which is 5.5% higher than the best detection accuracy of the existing methods.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-9"},"PeriodicalIF":5.6,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142691774","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

Robust Surface Area Measurement of Unorganized Point Clouds Based on Multiscale Supervoxel Segmentation 基于多尺度超像素分割的无组织点云鲁棒性表面积测量技术

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-08 DOI: 10.1109/TIM.2024.3485393

Pengju Tian;Xianghong Hua

{"title":"Robust Surface Area Measurement of Unorganized Point Clouds Based on Multiscale Supervoxel Segmentation","authors":"Pengju Tian;Xianghong Hua","doi":"10.1109/TIM.2024.3485393","DOIUrl":"https://doi.org/10.1109/TIM.2024.3485393","url":null,"abstract":"Most of the existing surface area measurement methods suffer from poor efficiency, low precision, and high computational cost, especially for inaccessible, large-scale, rough, and curved surfaces. In this article, we propose a method to directly measure the surface areas of unorganized point clouds applicable to various scenes. First, an adaptive supervoxel segmentation algorithm is adopted to divide the input point cloud into a collection of facets with multiple scales. For each facet, all points belonging to it are projected onto its corresponding accurately fit plane. Second, for each projected facet, rigid transform is performed so that its normal vector is parallel to the Z-axis. For each 2-D facet point cloud, the x-coordinates and-coordinates are utilized to abstract its boundary points. Third, the boundary points are sorted in clockwise order so that every two adjacent points and the center point determine a triangle. Next, an improved interpolation method is adopted to interpolate the sparse edge points. The surface area calculation results of different scales can be obtained by counting the sum of the triangular area inside each facet. Finally, the optimum value is determined from these results. The proposed method is tested on various types of point clouds acquired in different ways. Comprehensive experiments demonstrate that the proposed method is efficient and effective and is capable of obtaining good performances in both simple regular planes and complex surfaces. In particular, compared with traditional reconstruction-based methods, the proposed method significantly outperforms when dealing with large-scale and complex scenes.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-17"},"PeriodicalIF":5.6,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636360","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