IEEE Transactions on Instrumentation and Measurement最新文献

Model-Based Particle Swarm Optimization Filtering Algorithm for Mecanum Wheel Car Parameter Identification With Measurement Noise 基于模型的粒子群优化滤波算法在具有测量噪声的机轮车参数识别中的应用

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-16 DOI: 10.1109/TIM.2025.3604934

Min-Che Tsai;Chao-Chung Peng

{"title":"Model-Based Particle Swarm Optimization Filtering Algorithm for Mecanum Wheel Car Parameter Identification With Measurement Noise","authors":"Min-Che Tsai;Chao-Chung Peng","doi":"10.1109/TIM.2025.3604934","DOIUrl":"https://doi.org/10.1109/TIM.2025.3604934","url":null,"abstract":"The Mecanum wheel car (MWC) is increasingly becoming the mainstream automated guided vehicle (AGV) in factory automation, replacing traditional transport vehicles due to its flexibility and maneuverability. With its widespread applications, there is a corresponding high demand for system inspection and maintenance policies. However, the estimation of kernel parameters without the system disassembly is less investigated. To solve this problem, this article starts from a framework of nonholonomic constraints and uses the Lagrange equations to derive a complete dynamic model of the MWC. Next, a measurement equation using the signal filtering method (FM) is derived. However, the design of the filtering factors is the key issue of the tradeoff between estimation precision and noise suppression. To effectively solve this design problem, particle swarm optimization (PSO) is used to optimize the filtering factor. The proposed method not only avoids interference from noisy acceleration measurements of the MWC but also significantly improves parameter estimation accuracy. The feasibility of the proposed method was validated through both numerical simulations and experiments. The experimental results demonstrate that the parameter estimation method proposed in this article can accurately estimate the internal parameters of the system, enabling precise prediction of the MWC’s motion behavior.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-12"},"PeriodicalIF":5.9,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100358","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

Research on Quantitative Circuit Model and Detection of Crack Based on Microstrip Line Structure 基于微带线结构的定量电路模型及裂纹检测研究

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-12 DOI: 10.1109/TIM.2025.3609373

Jun Zhang;Liu Tao;Xuan Xie;Bei Huang;Yaya Song;Lihong Dong;Haidou Wang

{"title":"Research on Quantitative Circuit Model and Detection of Crack Based on Microstrip Line Structure","authors":"Jun Zhang;Liu Tao;Xuan Xie;Bei Huang;Yaya Song;Lihong Dong;Haidou Wang","doi":"10.1109/TIM.2025.3609373","DOIUrl":"https://doi.org/10.1109/TIM.2025.3609373","url":null,"abstract":"Fatigue cracks and other forms of damage can have a significant impact on the normal operation of metal facilities, necessitating the deployment of multiple sensors for monitoring within large structures. The arrangement of these sensors must take into account factors such as the shape, size, and complexity of the monitoring area, as well as the optimal positioning and spacing of sensor nodes. This requirement for comprehensive coverage while minimizing costs presents considerable challenges for structural health monitoring (SHM) techniques. In this article, the feasibility of crack detection with a simple microstrip line (ML) is studied in the millimeter-wave band. The detection sensitivity is 0.283/mm2, the precision is 13.61%, and the minimum crack depth that can be identified is 0.2 mm (when crack width <inline-formula> <tex-math>$ge 1.0$ </tex-math></inline-formula> mm). An equivalent circuit model for this type of traveling-wave sensor is established in conjunction with field analysis, and the accuracy of the model is verified by comparing full-wave simulation and the circuit model. The proposed sensor can act as a distributed sensor for the SHM applications.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-8"},"PeriodicalIF":5.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100509","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

GNSS Spoofing Mitigation Based on Code-Carrier Difference Pair Pseudorange Correction 基于码载波差分对伪距校正的GNSS欺骗抑制

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-12 DOI: 10.1109/TIM.2025.3609375

Lichao Chen;Xiaofeng Ouyang;Fangling Zeng;Yuting Ming;Siyi Han

{"title":"GNSS Spoofing Mitigation Based on Code-Carrier Difference Pair Pseudorange Correction","authors":"Lichao Chen;Xiaofeng Ouyang;Fangling Zeng;Yuting Ming;Siyi Han","doi":"10.1109/TIM.2025.3609375","DOIUrl":"https://doi.org/10.1109/TIM.2025.3609375","url":null,"abstract":"Global Navigation Satellite System (GNSS) is vulnerable to spoofing attacks due to its open signal structure. Studying spoofing mitigation methods is, therefore, crucial for ensuring the security of GNSS-based services. However, current spoofing mitigation techniques rely on code-phase estimation of multiple correlators or the assistance of external information, which is costly and lacks practicality. Therefore, we propose a new spoofing mitigation method based on code-carrier difference (CCD) for pseudorange (PR) bias estimation and correction. The method effectively leverages the inherent correlation between carrier and code to construct CCD based on phase, which is then converted into PR bias. This enables effective prediction of PR deviations induced by spoofing. Notably, the technique achieves spoofing mitigation without requiring precise estimation of code-phase offset. The results show that the proposed method can effectively reduce the impact of spoofing signals to around 20 m in scenarios with low power advantage, as well as in static/dynamic and time/positioning spoofing scenarios. In the later stage of spoofing, the proposed algorithm reduces the resolution error by up to 97.0% in all scenarios and maintains a stable and smooth position, velocity, and time (PVT) solution performance throughout the whole time period. The proposed algorithm performs well in terms of mitigation effect, accuracy, robustness, and the smoothness of PVT solution, providing GNSS receivers with an efficient, lightweight, and reliable anti-interference solution.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-16"},"PeriodicalIF":5.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090044","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

TiO2-Modified SPR Fiber-Optic Sensor for High-Sensitivity Salinity and Temperature Detection in Low-Temperature Environments 用于低温环境下高灵敏度盐度和温度检测的二氧化钛改性SPR光纤传感器

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-12 DOI: 10.1109/TIM.2025.3609324

Pengxiao Guo;Lei Zhang;Lu Wang;Sajid Ullah;Jianshe Li;Li Huo;Shuguang Li

{"title":"TiO2-Modified SPR Fiber-Optic Sensor for High-Sensitivity Salinity and Temperature Detection in Low-Temperature Environments","authors":"Pengxiao Guo;Lei Zhang;Lu Wang;Sajid Ullah;Jianshe Li;Li Huo;Shuguang Li","doi":"10.1109/TIM.2025.3609324","DOIUrl":"https://doi.org/10.1109/TIM.2025.3609324","url":null,"abstract":"Global climate change has led to significant fluctuations in ocean salinity and temperature, especially at higher latitudes, which have severely affected natural ecosystems and human production and life. This has placed higher demands on real-time and precise hydrological detection. This article utilizes Ag-based surface plasmon resonance (SPR) optical fiber sensors modulated by TiO2 films of different thicknesses to achieve simultaneous detection of two parameters within a wide temperature range (<inline-formula> <tex-math>$- 40~^{circ }$ </tex-math></inline-formula>C to <inline-formula> <tex-math>$100~^{circ }$ </tex-math></inline-formula>C) and a wide salinity range (0%–25%). The Ag/thin-layer TiO2 structure used for salinity measurement can effectively enhance the sensitivity of salinity sensing and the oxidation resistance of the Ag film. The Ag/thick-layer TiO2/PDMS composite film structure used for temperature measurement can broaden the refractive index (RI) range and measurement range by enhancing the local electric field and improving the equivalent RI. The integration of PDMS can improve the spectral response and probe stability at low temperatures. The cascaded probe structure enables the simultaneous and distinguishable measurement of the two parameters at different working wavelengths. Experimental results show that the maximum salinity sensitivity is 7.2 nm/% and the maximum temperature sensitivity is 12.8 nm/°C. This study demonstrates the path of using semiconductor thickness modulation to expand the SPR bandwidth and achieve simultaneous sensing of multiple parameters, which avoids the complexity of multimaterial structure integration and the risk of stress cracking. It provides technical reserves for in situ hydrological detection in high-altitude or complex water environments in the future.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-12"},"PeriodicalIF":5.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090042","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

Optimization and Performance Evaluation of a Multiturn, Outer Rotor VR Resolver for Enhanced Accuracy and Manufacturability 为提高精度和可制造性而进行的多匝外转子VR解析器优化与性能评价

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-12 DOI: 10.1109/TIM.2025.3609383

M. R. Soleimani;Z. Nasiri-Gheidari;F. Tootoonchian;H. Oraee

{"title":"Optimization and Performance Evaluation of a Multiturn, Outer Rotor VR Resolver for Enhanced Accuracy and Manufacturability","authors":"M. R. Soleimani;Z. Nasiri-Gheidari;F. Tootoonchian;H. Oraee","doi":"10.1109/TIM.2025.3609383","DOIUrl":"https://doi.org/10.1109/TIM.2025.3609383","url":null,"abstract":"This article presents an optimized design for a multiturn outer rotor variable reluctance (VR) resolver, focusing on enhancing its accuracy, manufacturability, and overall performance. An analytical model is developed to evaluate the influence of key design parameters, including rotor contour, winding configuration, and the number of turns per layer. Through a comprehensive optimization process, the best combinations of these parameters are identified, improving both the precision and efficiency of the resolver. The study also explores the impact of rotor yoke thickness on sensor accuracy, offering insights into the tradeoffs between compactness and precision. Experimental validation is conducted by fabricating a prototype based on the optimized design and comparing its performance with simulation results. The prototype demonstrates excellent agreement with the simulations, exhibiting low position errors and confirming the effectiveness of the proposed design and optimization strategy. The findings provide a practical framework for designing high-precision VR resolvers, balancing accuracy, cost-effectiveness, and ease of construction.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-8"},"PeriodicalIF":5.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090046","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

Pipeline Defect Assessment Method Based on Ultrasonic Guided Wave Sensor Array and GSA-CoSaMP Algorithm 基于超声导波传感器阵列和GSA-CoSaMP算法的管道缺陷评估方法

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-12 DOI: 10.1109/TIM.2025.3609325

Zhirong Lin;Yishou Wang;Linlin Fang;Xiaodie Hu;Xinlin Qing

{"title":"Pipeline Defect Assessment Method Based on Ultrasonic Guided Wave Sensor Array and GSA-CoSaMP Algorithm","authors":"Zhirong Lin;Yishou Wang;Linlin Fang;Xiaodie Hu;Xinlin Qing","doi":"10.1109/TIM.2025.3609325","DOIUrl":"https://doi.org/10.1109/TIM.2025.3609325","url":null,"abstract":"Accurate characterization of pipeline defects is crucial for maintaining structural integrity and ensuring operational safety. This study introduces an innovative pipeline defect evaluation method integrating the gravitational search algorithm (GSA) with the compressed sampling matching pursuit (CoSaMP), aimed at improving the accuracy and robustness of ultrasonic guided wave (UGW) signal decomposition and reconstruction. GSA is applied to dynamically optimize signal sparsity, overcoming the limitations of traditional methods that rely on predefined sparsity levels. Moreover, an optimized waveform dictionary, which incorporates prior knowledge of guided wave reflection characteristics, is constructed to improve the accuracy of defect signal decomposition and reconstruction. The proposed method effectively separates overlapping reflection signals from the front and rear edges of pipeline defects, enabling precise characterization of defect axial dimensions. Finite element (FE) simulations and experimental validations using a piezoelectric (PZT) sensor array installed on the surface of a stainless steel pipeline illustrate the enhanced effectiveness of the proposed methodology, achieving average defect size evaluation errors of 0.68 and 2.20 mm, respectively, significantly outperforming conventional matching pursuit (MP), standard CoSaMP, orthogonal matching pursuit (OMP), and basis pursuit (BP) algorithms. This method addresses the limitations of existing approaches by adaptively optimizing signal sparsity, enhancing robustness against noise, and providing a reliable tool for pipeline integrity assessment. The findings contribute to the development of predictive maintenance strategies and advance real-time defect monitoring applications for complex pipeline networks.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-13"},"PeriodicalIF":5.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078639","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

FC2P: Feature Cross-Channel Projection for Unsupervised Anomaly Segmentation FC2P：特征跨通道投影的无监督异常分割

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-10 DOI: 10.1109/TIM.2025.3608319

Yichi Chen;Weizhi Xian;Junjie Wang;Xian Tao;Bin Chen

{"title":"FC2P: Feature Cross-Channel Projection for Unsupervised Anomaly Segmentation","authors":"Yichi Chen;Weizhi Xian;Junjie Wang;Xian Tao;Bin Chen","doi":"10.1109/TIM.2025.3608319","DOIUrl":"https://doi.org/10.1109/TIM.2025.3608319","url":null,"abstract":"Unsupervised anomaly segmentation plays a critical role in real-world industrial product quality inspection. While feature reconstruction-based methods have shown promising performance by detecting anomalies through differences between pretrained features and their reconstructions, existing approaches often suffer from shortcut learning, and leading to reconstruction failures and inaccurate anomaly representation across multistage features. To address these limitations, we propose feature cross-channel projection (FC2P), a novel approach for anomaly segmentation. FC2P divides features into two subsets based on neighboring channels and employs two autoencoders for closed-loop prediction, effectively mitigating shortcut effects while capturing semantic relationships for efficient reconstruction. In addition, we introduce an anomaly exposure network (AExNet), which progressively amplifies anomalies across multistage feature residuals, generating precise anomaly score maps for accurate segmentation. Extensive experiments on MVTec AD and Visa benchmark datasets demonstrate that the proposed FC2P achieves state-of-the-art (SOTA) performance, with average precision (AP) scores of 79.8% and 44.8%, respectively. Moreover, visualization results on real industrial data further show the practicality of our proposed method. The code will be made publicly available at <uri>https://github.com/Karma1628/work-2</uri> to ensure reproducibility and facilitate further research.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-13"},"PeriodicalIF":5.9,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090245","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

High-Sensitivity Operation of Unshielded Radio Frequency Atomic Magnetometers Using Phase-Lock Techniques 锁相技术用于非屏蔽射频原子磁强计的高灵敏度操作

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-10 DOI: 10.1109/TIM.2025.3608340

Han Yao;Ferruccio Renzoni

引用次数: 0

Indoor Localization Using Dynamic DRSS Model in 5G System 5G系统中基于动态DRSS模型的室内定位

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-10 DOI: 10.1109/TIM.2025.3608359

He Zhu;Kun Zhao;Chao Yu;Xichao Yang

{"title":"Indoor Localization Using Dynamic DRSS Model in 5G System","authors":"He Zhu;Kun Zhao;Chao Yu;Xichao Yang","doi":"10.1109/TIM.2025.3608359","DOIUrl":"https://doi.org/10.1109/TIM.2025.3608359","url":null,"abstract":"Received signal strength (RSS)-based localization methods are widely used in indoor positioning scenarios within 5G systems due to their cost-effectiveness and broad device compatibility. However, the path loss exponent (PLE) in the path loss model is highly sensitive to the localization environment, and precisely measuring the reference signal received power (RSRP) at the reference point remains challenging in practice. Consequently, in different localization application scenarios, continuous measurement and adjustment of the RSRP at the reference point and the PLE are required. Otherwise, the localization accuracy will be degraded. In this article, we first employ a dynamic difference of RSS (DRSS) model to eliminate the impact of RSRP measurement errors at the reference point. The model also addresses variations in PLE at different locations within the same localization scenario, as well as dynamic changes in PLE within the environment. Subsequently, a localization coordinate adjudicator is proposed to iteratively update the UE position and determine the optimal PLE for the current UE. Finally, under the optimal PLE, the UE’s localization coordinates are obtained using a genetic algorithm with a dynamic elite retention mechanism. Experimental validation was performed using both publicly available 5G simulation datasets and real-world data. The results show that the proposed dynamic DRSS model achieves a root mean square error (RMSE) of 2.44 m, outperforming existing techniques by 29%.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-10"},"PeriodicalIF":5.9,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090246","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

Design and Experimental Study of a Measurement System for Total Solar Radiation and Upward Longwave Radiation 太阳总辐射和向上长波辐射测量系统的设计与实验研究

IF 5.9 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-09-10 DOI: 10.1109/TIM.2025.3608322

Jie Yang;Zhengjie Ying;Keya Yuan;Renhui Ding;Qingquan Liu

{"title":"Design and Experimental Study of a Measurement System for Total Solar Radiation and Upward Longwave Radiation","authors":"Jie Yang;Zhengjie Ying;Keya Yuan;Renhui Ding;Qingquan Liu","doi":"10.1109/TIM.2025.3608322","DOIUrl":"https://doi.org/10.1109/TIM.2025.3608322","url":null,"abstract":"This study presents a novel radiation measurement system capable of simultaneously measuring solar and upward longwave radiation, with the goal of achieving measurement accuracy within ±5% under the tested experimental conditions. A multiphysics heat transfer analysis based on computational fluid dynamics (CFDs) was first conducted to quantify the influence of key environmental factors on the thermal response of the sensing elements. Subsequently, an environmental correction model was developed using a multilayer perceptron (MLP) neural network to compensate for the nonlinear effects of meteorological variables. Finally, a field comparison platform was constructed to assess the system’s performance. During the experiments, solar radiation data from a Kipp and Zonen CMP10 pyranometer and longwave radiation values derived from the Stefan–Boltzmann law were used as reference standards. The results showed that the relative errors for solar and longwave radiation measurements ranged from –3.66% to 3.69% and –3.86% to 3.81%, respectively. The root mean square errors (RMSEs) between the estimated and measured values were 15.4 W/m2 for solar radiation and 16.7 W/m2 for longwave radiation, with corresponding mean absolute errors (MAEs) of 9.8 and 11.4 W/m2. The correlation coefficients were 0.98 and 0.96, respectively, indicating a strong agreement with the reference data. These results demonstrate the high accuracy and robustness of the proposed system, highlighting its potential for applications in energy balance analysis, climate monitoring, and agroecological research.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-13"},"PeriodicalIF":5.9,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073276","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