检索结果-南通市图书馆

Optoelectronics Letters 2025年

作者： Liu Yinggang Li Rui Li Fei Xu Xinyi Zhou Rui Shaanxi engineering research center of Oil and Gas Resource Optical Fiber detection & Shaanxi Key Laboratory of measurement and Control Technology for Oil and Gas wells， Xi'an Shiyou University

To address the issue of temperature cross-sensitivity in refractive index （RI） measurement， a fiber-optic Surface Plasmon Resonance （SPR） sensor based on dual D-shaped no-core fiber （NCF） is proposed and designed. The sensor mainly consists of D-shaped NCF， Ag/Fe2O3composite film， and polydimethylsiloxane （PDMS）， where the silver and Fe2O3are successively coated on both D-shaped surfaces of NCF to generate SPR and enhance the oxidation resistance. The layer of PDMS coated on one D-shaped surface acts as a tunable ambient medium sensing the temperature variation and affecting the transmission spectrum of the sensor. Since the surface plasmon waves are excited in the two D-shaped surfaces with different films， the two RI and temperature-dependent spectral resonance peaks with different wavelengths will be produced. research results demonstrate that the two peaks’ wavelengths have different responses to the variations of ambient RI and temperature. In the refractive index range of 1.36-1.376 and temperature range of 10-100 °C， the RI and temperature sensitivities reach to 5000 nm/RIU and -0.546 nm/°C， respectively. With the sensitivity coefficient matrix， simultaneous measurement of refractive index and temperature can be realized， and the corresponding accuracy is superior to 0.4×10-5RIU and 0.037°C.

关键词：

Electric field intensity measurement by using doublet electromagnetically induced transparency of cold Rb Rydberg atoms

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics B 2023年第10期32卷 405-409页

作者：宫廷师帅姬中华郭古青孙小聪田亚莉邱选兵李传亮赵延霆贾锁堂 shanxi engineering research center of precision measurement and online detection equipment School of Applied ScienceTaiyuan University of Science and TechnologyTaiyuan 030024China State Key Laboratory of Quantum Optics and Quantum Optics Devices Institute of Laser SpectroscopyShanxi UniversityTaiyuan 030006China Collaborative Innovation center of Extreme Optics Shanxi UniversityTaiyuan 030006China

We demonstrate a simple method to measure electric field intensity by using doublet electromagnetically induced transparency(EIT) spectra of cold Rb Rydberg atoms, where the frequency of the coupling laser does not need to be locked. Based on the Stark splitting of the Rb Rydberg state, 10D_(3/2), under electric fields and the corresponding calculated polarizabilities, the real electric field intensity is calculated using the difference in radio-frequency diffraction between two acousto-optic modulators, which acts as a frequency criterion that allows us to measure the electrical field without locking the coupling laser. The value measured by this simple method shows a good agreement with our previous work [*** 29 1558(2021)] where the frequency of the coupling laser needs to be locked with an additional EIT spectrum based on atom vapor and a proportional–integral–differential feedback circuit. Our presented method can also be extended to the measurement of electric field based on hot Rydberg atom vapor, which has application in industry.

关键词： doublet electromagnetically induced transparency(EIT) Aulter–Townes(AT)splitting Rydberg atom electric field measurement

Calibration of the Solar X-ray Detector on-board the Macao Science Satellite-1B for Soft X-ray detection

在线全文

学校读者我要写书评

暂无评论

Science China Earth Sciences 2025年第1期68卷 11-26页

作者： Man-Hei NG Xiaoping ZHANG Jianwu CHEN Yongqiang SHI Fuchang ZUO Wenxi PENG Weichun FU Liansheng LI Pengwei LUO Chi-Long TANG Guozheng ZHANG Zhiwu MEI Li WANG Cunhui LI Jiaming OU Yanyan XU State Key Laboratory of Lunar and Planetary Sciences Macau University of Science and Technology China National Space Administration (CNSA) Macau Center for Space Exploration and Science Space Optoelectronic measurement and Perception Laboratory Beijing Institute of Control Engineering Institute of High Energy Physics Chinese Academy of Sciences Science and Technology on Vacuum Technology and Physics Laboratory Lanzhou Institute of Physics

The Solar X-ray Detector(SXD) on-board the Macao Science Satellite-1B(MSS-1B) was successfully launched via the Chinese Long March-2C rocket on 21 May 2023, and commenced operations in early June of the same year. The MSS-1B/Soft X-ray detection Units(SXDUs) employ two silicon drift detectors(SDDs), providing a wide range of energy spectra spanning from 0.7 to 24 keV. Notably, the SXDUs deliver a high-resolution capability of 0.14 keV@5.9 keV and operate with a time cadence of 1 second. Here, we perform thorough calibrations of the MSS-1B/SXDUs, employing a combination of ground experiments and simulations. In addition, quantitative analysis comparing the flux measurements obtained by the MSS-1B/SXDUs to the data collected by the Geostationary Operational Environmental Satellite(GOES), provides compelling evidence of their consistency. Furthermore, the preliminary spectral analysis results showcase the robustness and expected performance of the MSS-1B/SXDUs, unlocking their potential for facilitating the study of dynamic evolution of solar flares. Moreover, the innovative MSS-1B/Solar X-ray Detector facilitates concurrent observations of solar soft and hard X-rays, thereby making valuable contributions to the advancements in solar research.

关键词： Macao Science Satellite-1B (MSS-1B) Calibration Solar X-Ray Detector Spectrometer Soft X-rays Solar flares Solar abundances

Flexible Strain Sensors with Ultra‑High Sensitivity and Wide Range Enabled by Crack‑Modulated Electrical Pathways

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Nano-Micro Letters 2025年第3期17卷 246-264页

作者： Yunzhao Bai Yunlei Zhou Xuanyu Wu Mengfei Yin Liting Yin Shiyuan Qu Fan Zhang Kan Li YongAn Huang State Key Laboratory of Intelligent Manufacturing equipment and Technology Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China Flexible Electronics research center Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China Hangzhou Institute of Technology Xidian UniversityHangzhou 311200People’s Republic of China School of Mechano‑Electronic engineering Xidian UniversityXi’an 710071People’s Republic of China Department of Aerospace and Mechanical engineering University of Southern CaliforniaLos AngelesCA 90089USA

This study presents a breakthrough in flexible strain sensor technology with the development of an ultrahigh sensitivity and wide-range sensor,addressing the critical challenge of reconciling sensitivity with measurement *** by the structure of bamboo slips,we introduce a novel approach that utilises liquid metal to modulate the electrical pathways within a cracked platinum fabric *** resulting sensor demonstrates a gauge factor greater than 108 and a strain measurement capability exceeding 100%.The integration of patterned liquid metal enables customisable tuning of the sensor’s response,while the porous fabric structure ensures superior comfort and air permeability for the *** design not only optimises the sensor’s performance but also enhances the electrical stability that is essential for practical *** systematic investigation,we reveal the intrinsic mechanisms governing the sensor’s response,offering valuable insights for the design of wearable strain *** sensor’s exceptional performance across a spectrum of applications,from micro-strain to large-strain detection,highlights its potential for a wide range of real-world uses,demonstrating a significant advancement in the field of flexible electronics.

关键词： Flexible strain sensor Fabric Crack Response regulation Epidermal device

Lightweight Underwater Target detection Using YOLOv8 with Multi-Scale Cross-Channel Attention

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第1期82卷 713-727页

作者： Xueyan Ding Xiyu Chen Jiaxin Wang Jianxin Zhang School of Computer Science and engineering Dalian Minzu UniversityDalian116600China research center of Multimodal Information Perception and Intelligent Processing Dalian Minzu UniversityDalian116600China

Underwater target detection is extensively applied in domains such as underwater search and rescue,environmental monitoring,and marine resource *** is crucial in enabling autonomous underwater robot operations and promoting ocean ***,low imaging quality,harsh underwater environments,and obscured objects considerably increase the difficulty of detecting underwater targets,making it difficult for current detection methods to achieve optimal *** order to enhance underwater object perception and improve target detection precision,we propose a lightweight underwater target detection method using You Only Look Once(YOLO)v8 with multi-scale cross-channel attention(MSCCA),named *** the proposed multiscale cross-channel attention module,multi-scale attention(MSA)augments the variety of attentional perception by extracting information from innately diverse sensory *** cross-channel strategy utilizes RepVGGbased channel shuffling(RCS)and one-shot aggregation(OSA)to rearrange feature map channels according to specific *** aggregates all features only once in the final feature mapping,resulting in the extraction of more comprehensive and valuable feature *** experimental results show that the proposed YOLOv8-UOD achieves a mAP50 of 95.67%and FLOPs of 23.8 G on the Underwater Robot Picking Contest 2017(URPC2017)dataset,outperforming other methods in terms of detection precision and computational cost-efficiency.

关键词： Deep learning underwater target detection attention mechanism

Gear Fault detection Analysis Method Based on Fractional Wavelet Transform and Back Propagation Neural Network

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in engineering & Sciences 2019年第12期121卷 1011-1028页

作者： Yanqiang Sun Hongfang Chen Liang Tang Shuang Zhang Beijing engineering research center of precision measurement Technology and Instruments Beijing University of TechnologyBeijing100124China

A gear fault detection analysis method based on Fractional Wavelet Transform(FRWT)and Back Propagation Neural Network(BPNN)is *** the changing order as the variable,the optimal order of gear vibration signals is determined by discrete fractional Fourier *** the optimal order,the fractional wavelet transform is applied to eliminate noise from gear vibration *** this way,useful components of vibration signals can be successfully separated from background ***,a set of feature vectors obtained by calculating the characteristic parameters for the de-noised signals are used to characterize the gear vibration ***,the feature vectors are divided into two groups,including training samples and testing samples,which are input into the BPNN for learning and *** results showed that this gear fault detection analysis method could well maintain the useful signal components related to gear faults and effectively extract the weak fault *** accuracy rate reached 96.67%in the identification of the type of gear fault.

关键词： Gear fault detection preparation factional wavelet transform back propagation neural network

Advancements in Liver Tumor detection:A Comprehensive Review of Various Deep Learning Models

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in engineering & Sciences 2025年第1期142卷 91-122页

作者： Shanmugasundaram Hariharan D.Anandan Murugaperumal Krishnamoorthy Vinay Kukreja Nitin Goyal Shih-Yu Chen Deptartment of Artificial Intelligence and Data Science Vardhaman College of EngineeringHyderabad501218India Deptartment of CSE V.S.B College of EngineeringKarur639111India Deptartment of Electrical and Electronics engineering Vardhaman College of EngineeringHyderabad501218India Centre for research Impact&Outcome Chitkara UniversityRajpura140401PunjabIndia Department of Computer Science and engineering School of Engineering and TechnologyCentral University of HaryanaMahendergarh123031HaryanaIndia Department of Computer Science and Information engineering National Yunlin University of Science and TechnologyYunlin64002Taiwan Intelligence Recognition Industry Service research center National Yunlin University of Science and TechnologyYunlin64002Taiwan

Liver cancer remains a leading cause of mortality worldwide,and precise diagnostic tools are essential for effective treatment *** Tumors(LTs)vary significantly in size,shape,and location,and can present with tissues of similar intensities,making automatically segmenting and classifying LTs from abdominal tomography images crucial and *** review examines recent advancements in Liver Segmentation(LS)and Tumor Segmentation(TS)algorithms,highlighting their strengths and limitations regarding precision,automation,and *** metrics are utilized to assess key detection algorithms and analytical methods,emphasizing their effectiveness and relevance in clinical *** review also addresses ongoing challenges in liver tumor segmentation and identification,such as managing high variability in patient data and ensuring robustness across different imaging *** suggests directions for future research,with insights into technological advancements that can enhance surgical planning and diagnostic accuracy by comparing popular *** paper contributes to a comprehensive understanding of current liver tumor detection techniques,provides a roadmap for future innovations,and improves diagnostic and therapeutic outcomes for liver cancer by integrating recent progress with remaining challenges.

关键词： Liver tumor detection liver tumor segmentation image processing liver tumor diagnosis feature extraction tumor classification deep learning machine learning

Beyond Performance of Learning Control Subject to Uncertainties and Noise: A Frequency-Domain Approach Applied to Wafer Stages

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2025年第1期 198-214页

作者： Fazhi Song Ning Cui Shuaiqi Chen Kai Zhang Yang Liu Xinkai Chen Jiubin Tan IEEE the center of Ultra-precision Optoelectronic Instrument engineering Harbin Institute of Technology the Key Laboratory of Ultra-precision Intelligent Instrumentation Ministry of Industry and Information Technology the State Key Laboratory of precision Electronic Manufacturing Technology and equipment Guangdong University of Technology the center of Ultraprecision Optoelectronic Instrument engineering Harbin Institute of Technology the Key Laboratory of Ultraprecision Intelligent Instrumentation Ministry of Industry and Information Technology the Department of Electronic and Information Systems Shibaura Institute of Technology

The increasingly stringent performance requirement in integrated circuit manufacturing, characterized by smaller feature sizes and higher productivity, necessitates the wafer stage executing a extreme motion with the accuracy in terms of nanometers. This demanding requirement witnesses a widespread application of iterative learning control(ILC), given the repetitive nature of wafer scanning. ILC enables substantial performance improvement by using past measurement data in combination with the system model knowledge. However, challenges arise in cases where the data is contaminated by the stochastic noise, or when the system model exhibits significant uncertainties, constraining the achievable performance. In response to this issue, an extended state observer(ESO) based adaptive ILC approach is proposed in the frequency *** being model-based, it utilizes only a rough system model and then compensates for the resulting model uncertainties using an ESO, thereby achieving high robustness against uncertainties with minimal modeling effort. Additionally, an adaptive learning law is developed to mitigate the limited performance in the presence of stochastic noise, yielding high convergence accuracy yet without compromising convergence speed. Simulation and experimental comparisons with existing model-based and data-driven inversion-based ILC validate the effectiveness as well as the superiority of the proposed method.

关键词：

Theoretical and experimental analyses of recording mark microstructures in signal waveform modulation optical disc

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics B 2010年第7期19卷 338-343页

作者：刘海龙裴京倪屹潘龙法唐毅 Optical Memory National engineering research center Department of Precision InstrumentTsinghua University measurement Technology & Instrumentation Key Lab of Hebei Province Yanshan University

In this paper, we propose a dynamic mastering process model for signal waveform modulation （SWM） optical disc. To form the ideal microstructures and solve the problems in the SWM master manufacturing process, we use this model to simulate the three-dimensional mark profiles in the SWM read-only disc. The simulated micro-patterns of recording pits and lands are employed to optimize the writing strategy and provide a quantitative basis for manufacturing the sub-pits and sub-lands. The simulation mark profiles are compared with the experimental ones, which are produced with the optimized writing strategy parameters. Comparison results demonstrate that the simulated profiles are highly consistent with the actual ones.

关键词： mark microstructures SWM mastering model writing strategy

Quantitative Rectangular Notch detection of Laser-induced Lamb Waves in Aluminium Plates with Wavenumber Analysis

在线全文

学校读者我要写书评

暂无评论

Transactions of Nanjing University of Aeronautics and Astronautics 2018年第2期35卷 244-255页

作者： Liu Zenghua Feng Xuejian He Cunfu Wu Bin College of Mechanical engineering and Applied Electronics Technology Beijing University of Technology Beijing engineering research center of precision measurement Technology and Instruments Beijing University of Technology

It is difficult to quantitatively detect defects by using the time domain or frequency domain features of Lamb wave signals due to their dispersion and multimodal ***,it is important to discover an intrinsical parameter of Lamb waves that could be used as a damage sensitive *** this paper,quantitative defect detection in aluminium plates is carried out by means of wavenumber analysis *** wavenumber of excited Lamb wave mode is a fixed value,given a frequency,a thickness and material properties of the target *** Lamb waves propagate to the structural discontinuity,new wavenumber components are created by abrupt wavefield *** new wavenumber components can be identified in the frequency-wavenumber *** estimate spatially dependent wavenumber values,a short-space two-dimensional Fourier transform(FT)method is presented for processing wavefield data of Lamb *** results can be used to determine the location,size and depth of rectangular *** analysis techniques are demonstrated using simulation examples of an aluminium plate with a rectangular ***,the wavenumber analysis method is applied to simulation data that are obtained through a range of notch depths and *** results are analyzed and rules of the technique with regards to estimating notch depth are *** on simulation results,guidelines for using the technique are ***,experimental wavefield data are obtained in aluminium plates with rectangular notches by a full noncontact transceiving method,i.e.,laser-laser ***-pass filtering combined with continuous wavelet transform is used to extract a certain frequency component from the full laser-induced wavefield with wide *** two-dimensional FT method is used for further processing full wavefield data at a certain frequency to estimate spatially dependent wavenumber *** consistency of simulation and experimental results shows the effectivenes

关键词： wavenumber analysis short space two-dimensional Fourier transform(FT) notch aluminium plate