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Exploiting the Direct Link in IRS Assisted NOMA Networks with Hardware Impairments

Computer Modeling in Engineering & Sciences 2023年第7期136卷 767-785页

作者： Ziwei Liu Xinwei Yue Shuo Chen Xuliang Liu Yafei Wang Wanwei Tang Key Laboratory of Modern Measurement&Control Technology Ministry of EducationSchool of Information and Communication EngineeringBeijing Information Science and Technology UniversityBeijing100101China The Party Committee Office Yellow River Conservancy Technical InstituteKaifeng475001China Tangshan University Tangshan063000China

Hardware impairments(HI)are always present in low-cost wireless *** paper investigates the outage behaviors of intelligent reflecting surface(IRS)assisted non-orthogonal multiple access(NOMA)networks by taking into account the impact of ***,we derive the approximate and asymptotic expressions of the outage probability for the IRS-NOMA-HI *** on the asymptotic results,the diversity orders under perfect self-interference cancellation and imperfect self-interference cancellation scenarios are obtained to evaluate the performance of the considered *** addition,the system throughput of IRS-NOMA-HI is discussed in delay-limited *** obtained results are provided to verify the accuracy of the theoretical analyses and reveal that:1)The outage performance and system throughput for IRS-NOMA-HI outperforms that of the IRS-assisted orthogonal multiple access-HI(IRS-OMA-HI)networks;2)The number of IRS elements,the pass loss factors,the Rician factors,and the value of HI are pivotal to enhancing the performance of IRS-NOMAHI networks;and 3)It is recommended that effective methods of reducing HI should be used to ensure system performance,in addition to self-interference cancellation techniques.

关键词： Hardware impairments imperfect SIC intelligent reflecting surface non-orthogonal multiple access outage probability

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Terahertz Spectroscopic Characterization and Thickness Evaluation of Internal Delamination Defects in GFRP Composites

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Chinese Journal of Mechanical Engineering 2023年第1期36卷 190-210页

作者： Walter Nsengiyumva Shuncong Zhong Manting Luo Bing Wang Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhou350108China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhou350108P.R.China School of Mechanical and Electrical Engineering Putian UniversityPutian351100China

The use of terahertz time-domain spectroscopy(THz-TDS)for the nondestructive testing and evaluation(NDT&E)of materials and structural systems has attracted significant attention over the past two decades due to its superior spatial resolution and capabilities of detecting and characterizing defects and structural damage in non-conducting *** this study,the THz-TDS system is used to detect,localize and evaluate hidden multi-delamination defects(i.e.,a three-level multi-delamination system)in multilayered GFRP composite *** obtain accurate results,a wavelet shrinkage de-noising algorithm is used to remove the noise from the measured time-of-flight(TOF)*** thickness and location of each delamination defect in the z-direction(i.e.,through-the-thickness direction)are calculated from the de-noised TOF signals considering the interaction between the pulsed THz waves and the different interfaces in the GFRP composite laminates.A comparison between the actual and the measured thickness values of the delamination defects before and after the wavelet shrinkage denoising process indicates that the latter provides better results with less than 3.712%relative error,while the relative error of the non-de-noised signals reaches 16.388%.Also,the power and absorbance levels of the THz waves at every interface with different refractive indices in the GFRP composite laminates are evaluated based on analytical and experimental *** present study provides an adequate theoretical analysis that could help NDT&E specialists to estimate the maximum thickness of GFRP composite materials and/or structures with different interfaces that can be evaluated by the ***,the accuracy of the obtained results highlights the capabilities of the THz-TDS for the NDT&E of multilayered GFRP composite laminates.

关键词： Glass-fiber-reinforced polymer-matrix(GFRP)composites Terahertz time-domain spectroscopy(THz-TDS) Nondestructive testing and evaluation(NDT&E) Stationary wavelet transform(SWT) Thickness evaluation Delamination defects

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Freestanding metamaterial with constant coupling response for terahertz flexible functional devices

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Photonics Research 2025年第1期13卷 177-186页

作者： QIUMING ZENG TINGTING SHI YI HUANG SHUNCONG ZHONG FUWEI SUN CHENGLONG GUAN JIANXIONG CHEN TINGLING LIN YUJIE ZHONG YONGLIN HUANG Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhou 350108China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhou 350108China School of Economics and Management Minjiang UniversityFuzhou 350108China

Metamaterials(MMs)have become increasingly prominent in terahertz flexible ***,bending deformation often alters the structure of the unit,which affects the response performance and stability of ***,a metal-aperture metamaterial(MA-MM)utilizing the strong coupling effect induced by two resonance modes is innovatively proposed to address the mentioned ***,it is found that the coupling state between multiple resonance modes remains consistent at different bending *** these circumstances,the generated Rabi splitting peak presents stable response performance even under low resonance intensity caused by excessive *** experimental results demonstrate that despite the amplitude of two resonant peaks decreasing significantly by 87.6%,the Q-factor of the Rabi splitting only reduced by 14.8%.Furthermore,armed with the response mode of the Rabi splitting being unaffected by plasma excitation range,the designed MA-MMs are able to maintain constant Q-factors and frequencies on curved surfaces of varying *** findings exhibit the characteristics of electromagnetic response for multi-mode resonance-coupled MAMMs on different curved surfaces,presenting a novel design approach for terahertz flexible functional devices.

关键词： coupling splitting constant

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Research on Dynamic Rule Mining Method for Incremental Small Sample Experimental Data 13

Research on Dynamic Rule Mining Method for Incremental Small...

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13th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2023

作者： Bai, Weiguang Sun, Jie Yang, Yun Beijing Aerospace Measurement&Control Technology Co. Ltd Beijing Key Laboratory of High-speed Transport Intelligent Diagnostic and Health Management Beijing China Shaanxi Qinchuan Intelligent Machine Tool Research Institute Co. Ltd Shaanxi Xi'an China

ISBN: (纸本)9798350331714

In terms of fault diagnosis and prediction, new equipment mainly has the characteristics of small data samples and increasing sample size. In the rulemaking process, there are problems such as incomplete data, insufficient rules support, low accuracy data and information completeness, the current method is difficult to automatically correct forward rules based on continuously accumulated data. There is a lack of basic models and algorithms for rule correction, This method establishes an initial rule library after modeling system faults based on knowledge and data fusion. When a system fault occurs, it will exhibit various abnormal phenomena, and the collection of different types of abnormal phenomena (i.e. fault phenomena) corresponds to typical faults. © 2023 IEEE.

关键词： Data fusion

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Time of flight improved thermally grown oxide thickness measurement with terahertz spectroscopy

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Frontiers of Mechanical Engineering 2022年第4期17卷 205-215页

作者： Zhenghao ZHANG Yi HUANG Shuncong ZHONG Tingling LIN Yujie ZHONG Qiuming ZENG Walter NSENGIYUMVA Yingjie YU Zhike PENG Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhou 350108China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhou 350108China School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200072China School of Mechanical Engineering Ningxia UniversityYinchuan 750000China

As a nondestructive testing technique,terahertz time-domain spectroscopy technology is commonly used to measure the thickness of ceramic coat in thermal barrier coatings(TBCs).However,the invisibility of ceramic/thermally grown oxide(TGO)reflective wave leads to the measurement failure of natural growth TGO whose thickness is below 10μm in *** detect and monitor TGO in the emergence stage,a time of flight(TOF)improved TGO thickness measurement method is proposed.A simulative investigation on propagation characteristics of terahertz shows the linear relationship between TGO thickness and phase shift of feature *** accurate TOF increment could be acquired from wavelet soft threshold and cross-correlation function with negative effect reduction of environmental noise and system ***,the TGO thickness could be obtained efficiently from the TOF increment of the monitor area with different heating *** averaged error of 1.61μm in experimental results demonstrates the highly accurate and robust measurement of the proposed method,making it attractive for condition monitoring and life prediction of TBCs.

关键词： thermal barrier coatings thermally grown oxide terahertz spectroscopy time of flight

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Research on Dynamic Rule Mining Method for Incremental Small Sample Experimental Data

Research on Dynamic Rule Mining Method for Incremental Small...

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International Conference on Electronics Information and Emergency Communication

作者： Weiguang Bai Jie Sun Yun Yang Beijing Key Laboratory of High-speed Transport Intelligent Diagnostic and Health Management Beijing Aerospace Measurement&Control Technology Co. Ltd Beijing China Shaanxi Qinchuan Intelligent Machine Tool Research Institute Co. Ltd Xi'an Shaanxi China

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New Sensing Technologies for Monitoring Machinery,Structures,and Manufacturing Processes

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Journal of Dynamics, Monitoring and Diagnostics 2023年第2期2卷 69-88页

作者： JDMD Editorial Office Zhaoyan Fan Robert X.Gao Qingbo He Yi Huang Tianxi Jiang Zhike Peng Luc Thévenaz Yuyong Xiong Shuncong Zhong Editorial Office of JDMD Chongqing University of TechnologyChongqingPeople’s Republic of China Department of Mechanical Industrialand Manufacturing EngineeringOregon State UniversityCorvallisORUSA Department of Mechanical and Aerospace Engineering Case Western Reserve UniversityClevelandOHUSA State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of China Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhouPeople’s Republic of China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhouPeople’s Republic of China School of Mechanical Engineering Ningxia UniversityYinchuanPeople’s Republic of China EPFL Ecole Polytechnique Fédérale de Lausanne Group for Fibre OpticsSCI-STI-LT Station 111015 LausanneSwitzerland

Sensing is the fundamental technique for sensor data acquisition in monitoring the operation condition of the machinery,structures,and manufacturing *** this paper,we briefly discuss the general idea and advances of various new sensing technologies,including multiphysics sensing,smart materials and metamaterials sensing,microwave sensing,fiber optic sensors,and terahertz sensing,for measuring vibration,deformation,strain,acoustics,temperature,spectroscopic,*** on the observations from the state of the art,we provide comprehensive discussions on the possible opportunities and challenges of these new sensing technologies so as to steer future development.

关键词： fiber optic sensor metamaterials sensing microwave sensing multiphysics sensing terahertz sensing

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Guest Editorial for Special Issue on Extensions of Reinforcement Learning and Adaptive control

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IEEE/CAA Journal of Automatica Sinica 2014年第3期1卷 225-226页

作者： Frank L.Lewis Warren Dixon Zhongsheng Hou Tansel Yucelen Institute of Measurement&Control PE TexasU.K IEEE Control Systems Society(CSS) Operations for the Executive Committee of the IEEE CSS Board of Governors the Harbin Institute of Technology the Advanced Control Systems Lab Beijing Jiaotong University the Department of Automatic Control in School of Electronic and Information Engineering Beijing Jiaotong University Mechanical and Aerospace Engineering Department at the Missouri University of Science and Technology Advanced Systems Research Laboratory at the Missouri University of Science and Technology

ADAPTIVE control is a proven method for learning feedback controllers for systems with unknown dynamic models,exogenous disturbances,nonzero setpoints,and unmodeled *** control has been applied for years in process co... 详细信息

关键词： Special issues and sections Learning (artificial intelligence) Adaptive control Feedback

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