IEEE Sensors Journal最新文献_第10页

Microdefect Detection and Characterization Using Pot-Core Coils and LDC 基于锅芯线圈和LDC的微缺陷检测与表征

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3547576

Xiaolong Lu;Zongwen Wang;Zhengzheng Liang;Feilong Peng;Qiuji Yi;Guiyun Tian

{"title":"Microdefect Detection and Characterization Using Pot-Core Coils and LDC","authors":"Xiaolong Lu;Zongwen Wang;Zhengzheng Liang;Feilong Peng;Qiuji Yi;Guiyun Tian","doi":"10.1109/JSEN.2025.3547576","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3547576","url":null,"abstract":"To address the challenges of high power consumption and limited applicability of current pipeline eddy current detectors in small-diameter and low-pressure pipelines, this article introduces a novel low-power eddy current sensor based on an inductor digital converter (LDC). This sensor is specifically designed to detect minor defects. It employs a pot-cored coil as the sensing probe and can simultaneously output inductance L and parallel impedance <inline-formula> <tex-math>${R}_{p}$ </tex-math></inline-formula> signals to characterize defects jointly. In this study, we establish a theoretical model of resonant eddy current testing (ECT) and investigate, through numerical simulations, the magnetic field distribution, induced eddy current distribution, and detection capabilities for various types of defects in pot-core coils, I-core coils, and air-core coils. Performance tests of the sensor were conducted using flat plates and half tubes with artificial defects as detection objects. The experimental results demonstrate that the sensor exhibits high sensitivity to small defects, successfully detecting a minimum width of 0.2 mm, a minimum diameter of 2 mm, and a minimum depth of 0.5 mm. These findings provide a theoretical foundation for the application of the sensor in detecting small-diameter and long-distance pipelines.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"13894-13903"},"PeriodicalIF":4.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143840069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictive Analysis of Gas Sensing Properties in a Novel 2-D Gallium Oxide Phase 新型二维氧化镓相气敏特性的预测分析

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3548153

Afreen Anamul Haque;Suraj Ghanshyam Dhongade;Aniket Singha

{"title":"Predictive Analysis of Gas Sensing Properties in a Novel 2-D Gallium Oxide Phase","authors":"Afreen Anamul Haque;Suraj Ghanshyam Dhongade;Aniket Singha","doi":"10.1109/JSEN.2025.3548153","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3548153","url":null,"abstract":"Gas sensors based on 2-D materials have gained significant research attention due to their numerous advantageous properties, including a high surface-to-volume ratio, exceptional electrical conductivity, tunable electronic properties, mechanical flexibility, and potential for functionalization to enhance sensitivity and selectivity. In this article, we use first-principles calculations to conduct a predictive study on the gas sensing properties of a recently proposed novel 2-D phase of gallium oxide monolayer, with a unit cell formula of Ga2O2. Our findings illustrate that the monolayer exhibits remarkable sensitivity and selectivity for detecting NH3 molecules. In addition, although NO demonstrates comparatively lower adsorption energy on the monolayer, it reveals exceptionally favorable attributes for sensitivity, making the monolayer suitable for detecting NO molecules at lower temperatures. The low adsorption energy of the monolayer toward ambient molecules makes it suitable for deployment in ambient environments. The monolayer also shows potential for enhanced NH3 sensitivity through application of appropriate strain. Thus, the Ga2O2 monolayer emerges as a promising candidate for the fabrication of commercial 2-D gas sensors.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"12644-12652"},"PeriodicalIF":4.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143840122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient Frequency Response Restoration of Electromagnetic Scattering Characters for Swarm Targets 群目标电磁散射特性的有效频率响应恢复

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3548587

Jia Liu;Qun Yu Xu;Min Su

{"title":"Efficient Frequency Response Restoration of Electromagnetic Scattering Characters for Swarm Targets","authors":"Jia Liu;Qun Yu Xu;Min Su","doi":"10.1109/JSEN.2025.3548587","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3548587","url":null,"abstract":"Swarm formulations are new derivations of uncrewed aerial vehicles (UAVs) applications with more extensive application potentials. Radar signature characters of noncooperative UAV swarm targets require a more comprehensive understanding. The multimodality property of dynamic swarm targets proposes new challenges to restudy their electromagnetic scattering signatures. A larger number of unknowns make it difficult for existing full-wave numerical solvers to model their frequency response of radar cross section (RCS). This article introduces a solution to restore swarm target electromagnetic scattering signatures efficiently under sweep-frequency conditions. Swarm targets are first modeled by equivalent principle analysis (EPA) as compositions of multiple uniform equivalent surfaces enclosing each swarm unit. Variational formulations of EPA models extract frequency-dependent terms for computation redundancy reduction. The reduced-basis method (RBM) calculates reduced-basis functions from training solution datasets. Frequency responses of electromagnetic scatterings at an arbitrary frequency point are restored as a linear composition of reduced-basis functions. Unknown transformations from surface currents to expansion coefficients elevate the solution restoration efficiency prominently. Numerical results for three representative low-altitude noncooperative swarm targets verify the RCS restoration accuracy and efficiency. More discussions are addressed to explore factors that influence reduced-basis numbers. Existing results indicate that the proposed method is applicable to study swarm target frequency responses at an arbitrary modality. Limitations and future works are discussed with respect to restoration efficiency and accuracy optimization.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"13729-13741"},"PeriodicalIF":4.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143840102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A High-Efficient Wi-Fi-Based Cross-Domain Recognition Framework Using Multisource Domain Adaptation for Single-Transceiver Scenarios 基于wi - fi的单收发器多源域自适应高效跨域识别框架

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3540664

Wanguo Jiao;Wei Du;Changsheng Zhang;Long Suo

{"title":"A High-Efficient Wi-Fi-Based Cross-Domain Recognition Framework Using Multisource Domain Adaptation for Single-Transceiver Scenarios","authors":"Wanguo Jiao;Wei Du;Changsheng Zhang;Long Suo","doi":"10.1109/JSEN.2025.3540664","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3540664","url":null,"abstract":"With the advancement of deep learning, Wi-Fi-based action recognition methods using channel state information (CSI) rely generally on domain-specific training, and results in performance degradation in unseen domains, which remains a significant challenge. To address this cross-domain recognition, some complexity models are proposed. However, these works mostly rely on multiple Wi-Fi transceivers which is not common in our daily life. To improve the recognition efficiency and reduce the transceiver requirement, we propose a novel framework for the single transceiver scenario which integrates a recursive plots-based CSI sample enhancement strategy with a multisource domain adaptation approach. The CSI sample is first enhanced by using recursive plots. Then, a lightweight convolutional neural network with integrated spatial attention is used to extract initial domain-invariant features. Subsequently, the fine-grained feature is extracted through using dedicated subnetworks. This process aligns the target domain with each source domain and regularizes the target domain outputs across multiple classifiers, thereby enhancing the network’s feature extraction. The proposed model is evaluated on the publicly available Widar3.0 dataset. The results indicate that the proposed method can achieve accuracy rates of 92.6% and 90.2% for cross-location and cross-orientation recognition in single-link scenarios, respectively, and effectively reduce the complexity.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"14196-14208"},"PeriodicalIF":4.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143840100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrahigh Q Lithium Niobate Resonator With Annular Interdigital Electrode Structure 具有环形数字间电极结构的超高Q铌酸锂谐振器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3548093

Hangbing Xiao;Hui Chen;Yuxin Zhang;Yuxuan Wu;Haopeng Xu;Quan Yuan

引用次数: 0

Parallel Tapered Optical Fiber Biosensor for Highly Sensitive Detection of Mucin 1 用于高灵敏度检测粘蛋白 1 的平行锥形光纤生物传感器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3547840

Chu Chu;Xinyu Yang;Haili Jiang;Xinghua Yang;Minghua Ma;Pingping Teng;Shengjia Wang;Rui Wang;Xingyue Wen;Kang Li;Bo Zhang;Adam Jones;Qianqing Yu

{"title":"Parallel Tapered Optical Fiber Biosensor for Highly Sensitive Detection of Mucin 1","authors":"Chu Chu;Xinyu Yang;Haili Jiang;Xinghua Yang;Minghua Ma;Pingping Teng;Shengjia Wang;Rui Wang;Xingyue Wen;Kang Li;Bo Zhang;Adam Jones;Qianqing Yu","doi":"10.1109/JSEN.2025.3547840","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3547840","url":null,"abstract":"We built a reflective parallel tapered optical fiber structure and used it as a biosensor for highly sensitive in situ detection of label-free Mucin 1 (MUC1). A sensing tapered optical fiber probe was prepared, and a reference probe of similar free spectral range (FSR) was connected in parallel to establish the optical Vernier effect. This arrangement amplified the refractive index (RI) sensitivity to 8.4 times that of a single sensing probe with 19845.22 nm/RIU. Meanwhile, the aptamer was chemically bonded to the surface of sensing probe to specifically detect MUC1. This biosensor has a linear wide detection range from <inline-formula> <tex-math>$10^{-{10}}$ </tex-math></inline-formula> to <inline-formula> <tex-math>$10^{-{1}}$ </tex-math></inline-formula> mg/mL, with a high sensitivity of 12.56 nm/log(C/C0) and a low limit of detection (LOD) of 0.012 pg/mL. Significantly, the reflective structures, unlike transmissive ones, could be inserted into samples rather than requiring samples to be moved to the sensing area, which not only reduces the contamination of samples during movement but also enables the measurement of trace samples that cannot be transferred. Furthermore, this novel sensing structure with high sensitivity holds promise for the preliminary diagnosis and prognostic monitoring of cancer and has broad development prospects in clinical and therapeutic applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"13027-13032"},"PeriodicalIF":4.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143840022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Random Code Radar With Range-Time–Frequency Points and Improved PointConv Network for Through-Wall Human Action Recognition 距离时频点随机码雷达及改进点转换网络的穿墙人体动作识别

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3548121

Hang Xu;Yong Li;Qingran Dong;Li Liu;Jingxia Li;Jianguo Zhang;Bingjie Wang

{"title":"Random Code Radar With Range-Time–Frequency Points and Improved PointConv Network for Through-Wall Human Action Recognition","authors":"Hang Xu;Yong Li;Qingran Dong;Li Liu;Jingxia Li;Jianguo Zhang;Bingjie Wang","doi":"10.1109/JSEN.2025.3548121","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3548121","url":null,"abstract":"We proposed and demonstrated experimentally a random code radar with range-time–frequency points and the improved PointConv network for through-wall human action recognition (HAR). The physical random code signal with the natural random and aperiodicity is used as the radar-transmitted waveform. A series of slow time-Doppler frequency (ST-DF) images are obtained by correlation ranging and short-time Fourier transform (STFT) for echo and reference signals, and then are arranged at different ranges to obtain the 3-D range-time–frequency matrix. The range-time–frequency points are input into the improved PointConv network after the constant false alarm rate (CFAR) detection, isosurface mesh generation (IMG), and farthest point sampling (FPS) for the 3-D matrix. The PointConv network is improved by model simplification and structural enhancement, which can achieve higher recognition accuracy, the smaller parameters with 5.53 M, and the smaller floating-point operations (FLOPs) of 1.06 G, compared to the existing PointConv network. Experimental results demonstrate that the proposed radar can accurately recognize human actions behind walls with a 99.63% average accuracy for ten actions and a 96.83% average accuracy for six participants. Compared with the 2-D image-based convolutional neural network, three-domain feature fusion, two 3-D point-based PointNet networks, and 3-D point-based PointConv network, the proposed method realizes the higher recognition accuracy.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"13719-13728"},"PeriodicalIF":4.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143840127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recognition, Reconstruction, and Suppression of Range Overlapped Ghost Target Based on Dual Receiving Channels for LFMCW Radar 基于双接收信道的LFMCW雷达距离重叠鬼目标识别、重建与抑制

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3547792

Mingjiang Wang;Guanghong Liu;Wenhua Shen;Xiao Jia;Qiujun Wang

{"title":"Recognition, Reconstruction, and Suppression of Range Overlapped Ghost Target Based on Dual Receiving Channels for LFMCW Radar","authors":"Mingjiang Wang;Guanghong Liu;Wenhua Shen;Xiao Jia;Qiujun Wang","doi":"10.1109/JSEN.2025.3547792","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3547792","url":null,"abstract":"Linear frequency-modulated continuous-wave (LFMCW) radar has extensive applications in air defense and target measurements. Due to the rapid development of electronic countermeasures (ECMs) and the growing number of radars in autonomous driving, indistinguishable ghost target interference has become an increasingly critical challenge for LFMCW radar. Under conditions of intensive interference or dense targets, the ghost target may overlap with real targets, leading to erroneous detections. This study investigates the methods of recognizing, reconstructing, and suppressing interference when the ghost target overlaps with real targets in range. First, this work suggests a dual receiving channels scheme based on interpulse phase coding to distinguish the aliased ghost target. By modulating the initial phase of the transmitted pulse, and decoding and undecoding the received pulse phases, the real and ghost targets can be compressed separately in different receiving channels. Furthermore, to efficiently differentiate the aliased ghost target from real targets, this article develops a ghost target recognition strategy based on the statistical parameters of the Doppler signal in each range gate. More importantly, to further suppress the aliased ghost target, this work additionally proposes an interference reconstruction and suppression scheme in the range and Doppler (RD) domain. These proposed strategies can exactly identify, reconstruct, and eliminate the aliased interfering signals while preserving the desired signals of real targets. Finally, the effectiveness and performance of these proposed schemes are explicitly examined by experimental tests.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"13673-13684"},"PeriodicalIF":4.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D-RPDM: A Method for Measuring Packing Density of Gas–Solid Two-Phase Flow Based on 3-D Reconstruction 3D-RPDM：一种基于三维重构的气固两相流堆积密度测量方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3548564

Qihang Ma;Gaoliang Peng;Wei Zhang

{"title":"3D-RPDM: A Method for Measuring Packing Density of Gas–Solid Two-Phase Flow Based on 3-D Reconstruction","authors":"Qihang Ma;Gaoliang Peng;Wei Zhang","doi":"10.1109/JSEN.2025.3548564","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3548564","url":null,"abstract":"This article introduces the 3D-RPDM framework, a method based on 3-D reconstruction for measuring the packing density of gassolid two-phase flow using a structured light system. Packing density, crucial for the manufacturing of gassolid two-phase flow materials, presents challenges in terms of intrusiveness, efficiency, and precision in sensing. The 3D-RPDM comprises calibration, volume estimation, and density calculation. Calibration aligns the structured light sensors system with container and measurement coordinates, capturing accurate particle surface data. Volume estimation is divided into irregular and regular types, accommodating various material shapes for volume calculation. Incorporating material mass data into density models yields accurate packing density measurements. This article evaluates the 3D-RPDM’s performance in terms of measurement, robustness, parameter ablation, and time consumption. The experiments confirmed an average packing density measurement error of up to 0.95%, with a maximum deviation of 2.9%, while achieving an average efficiency improvement of 77.21%, underscoring the enhanced efficiency, accuracy, and reliability of the proposed method over traditional approaches.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 9","pages":"15511-15524"},"PeriodicalIF":4.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HRRP Synthesis and Imaging of Frequency Agile Waveform With Multidimensional Nonideal Factor Errors for High-Speed Targets 含多维非理想因子误差的高速目标频率捷变波形HRRP合成与成像

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-03-11 DOI: 10.1109/JSEN.2025.3541439

Shuang Cui;Shuai Shao;Hongwei Liu

{"title":"HRRP Synthesis and Imaging of Frequency Agile Waveform With Multidimensional Nonideal Factor Errors for High-Speed Targets","authors":"Shuang Cui;Shuai Shao;Hongwei Liu","doi":"10.1109/JSEN.2025.3541439","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3541439","url":null,"abstract":"Acquiring high-resolution range profile (HRRP) image of noncooperative targets holds substantial significance in the field of radar automatic target recognition due to its higher range resolution and richer target information compared with narrowband signal. To overcome the high hardware requirements for signal generation and reception in transmission of wideband signals, the utilization of step-frequency agile waveform (FAW) is a favorable choice for HRRP synthesis. The high-speed motion of noncooperative targets and the instability of radar systems will lead to multidimensional nonideal factor errors such as motion errors, carrier frequency offset (CFO), and time-varying amplitude (TVA) in radar echoes, resulting in poor quality of HRRP images with traditional HRRP synthesis methods. To address the above problems, this article proposes an HRRP synthesis method of FAW with multidimensional nonideal factor errors for high-speed targets. In this technique, a fine-grained signal model with multidimensional errors is established, enabling the acquisition of high-precision HRRP through parameter estimation and compensation. Based on this, a joint optimization algorithm of sparrow search algorithm and simulated annealing algorithm (SSA-SAA) is proposed to solve the optimal parameter search. Moreover, a multicriterion fusion cost function is designed to enhance the robustness of parameter search compared with the single-criterion cost function. High-precision HRRP synthesis of FAW for high-speed targets is achieved by effectively eliminating the errors caused by nonideal factors. Furthermore, high-precision inverse synthetic aperture radar (ISAR) based on long-term observation of HRRP sequences is generated. Extensive experimental results based on both simulated and real data are provided to demonstrate the effectiveness and robustness of the proposed method.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"13266-13280"},"PeriodicalIF":4.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143840132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0