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2023 IEEE International Conference on Sensors, Electronics and Computer Engineering, ICSECE 2023

作者： Wang, Jingxuan Chengdu University of Technology Measurement and Control Technology and Instrument Chengdu610059 China

ISBN: (纸本)9798350313734

In the field of industrial production, a complete production line is often composed of a number of electrical equipment with different functions. Once the equipment fails, it will reduce the product quality, cause economic losses and even lead to production accidents. In this paper, a device fault feature extraction algorithm based on photosensitive sensor is proposed. By blocking the light intensity, the photosensitive sensor can receive the light change, thus changing the resistance value of the circuit, and converting it into digital signals such as current or voltage to prompt the staff to reinforce it. Equipment state information processing classifies and processes the collected information, extracts features that can represent the equipment state, and proves whether it has been damaged or not. Simulation results show that, compared with SVM method, this method has obvious advantages in the later stage of operation, and the error is reduced by 22.86%. The feature extraction algorithm of equipment fault based on photosensitive sensor is better than that of SVM, and it can accurately detect the state and fault of equipment. © 2023 IEEE.

关键词： Feature extraction

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The Reconstruction of Seismic Reflection Events by Optimized Matching Pursuit Algorithm 6

The Reconstruction of Seismic Reflection Events by Optimized...

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6th International Conference on Intelligent control, measurement and Signal Processing, ICMSP 2024

作者： Yu, Pingyang Liu, Yanping Wan, Defu Yao, Xue The College of Electronic Engineering Xi'an Shiyou University Dept. of Measurement and Control Technology and Instrument China

ISBN: (纸本)9798331516550

This paper mainly introduces an optimized matching pursuit algorithm for the reconstruction of seismic reflection events. It adopts intelligent optimization algorithms of genetic algorithm (GA) and particle swarm algorithm (PSO) to matching pursuit algorithm for improving the processing effect and efficiency. Through experiments on synthetic seismic records and field seismic data, it demonstrates that both GA-MP and PSO-MP can reconstruct the reflection events effectively and efficiency, while PSO-MP performs better especially in waveform reconstruction. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Random laser carries complex patterns through multimode fiber via learning inverse transmission matrix

Random laser carries complex patterns through multimode fibe...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Wang, Lele Qi, Tiancheng Liu, Zhoutian Li, Dan Yan, Ping Xiao, Qirong State Key Laboratory of Precision Measurement Technology and Instruments Key Laboratory of Photonics Control Technology of the Ministry of Education Department of Precision Instrument Tsinghua University Beijing100084 China

We introduce random laser into a single-fiber image transmission system for the first time. High-quality transmission of complex grayscale patterns is achieved with inverse transmission matrix. It provides guidance fo... 详细信息

ISBN: (纸本)9781957171395

关键词： Endoscopy

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Random laser carries complex patterns through multimode fiber via learning inverse transmission matrix

Random laser carries complex patterns through multimode fibe...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

关键词： Multimode fibers

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Lensless microimaging via a multimode fiber probe based on compression sampled speckles

Lensless microimaging via a multimode fiber probe based on c...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Wang, Lele Zhang, Yiwei Li, Dan Yan, Ping Xiao, Qirong State Key Laboratory of Precision Measurement Technology and Instruments Key Laboratory of Photonics Control Technology of the Ministry of Education Department of precision instrument Tsinghua University Beijing100084 China

ISBN: (纸本)9781957171395

The all-fiber lensless microimaging scheme was experimentally demonstrated for the first time. Natural scenes reconstruction and distance detection are implemented with dual networks and partially diffuse speckles. Highly integrated structure is suitable for implantable micro-endoscopes. © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： Fiber lasers

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Rapid stabilization of stochastic quantum systems in a unified framework

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Chinese Physics B 2023年第7期32卷 216-225页

作者：温杰王芳敏史元浩贾建芳曾建潮 School of Electrical and Control Engineering North University of ChinaTaiyuan 030051China State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentTsinghua UniversityBeijing 100084China School of Computer Science and Technology North University of ChinaTaiyuan 030051China

Rapid stabilization of general stochastic quantum systems is investigated based on the rapid stability of stochastic differential *** introduce a Lyapunov-LaSalle-like theorem for a class of nonlinear stochastic systems first,based on which a unified framework of rapidly stabilizing stochastic quantum systems is *** to the proposed unified framework,we design the switching state feedback controls to achieve the rapid stabilization of singlequbit systems,two-qubit systems,and N-qubit *** the unified framework,the state space is divided into two state subspaces,and the target state is located in one state subspace,while the other system equilibria are located in the other state *** the designed state feedback controls,the system state can only transit through the boundary between the two state subspaces no more than two times,and the target state is globally asymptotically stable in *** particular,the system state can converge exponentially in(all or part of)the state subspace where the target state is ***,the effectiveness and rapidity of the designed state feedback controls are shown in numerical simulations by stabilizing GHZ states for a three-qubit system.

关键词： rapid stabilization state feedback stochastic quantum systems switching control

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A step to the decentralized real-time timekeeping network

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Chinese Physics B 2024年第1期33卷 183-191页

作者：王芳敏陈雨锋周建华蔺玉亭杨军王波王力军 State Key Laboratory of Precision Space-time Information Sensing Technology Department of Precision InstrumentTsinghua UniversityBeijing 100084China Key Laboratory of Photonic Control Technology Tsinghua UniversityBeijing 100084China Beijing Satellite Navigation Center Beijing 100094China Beijing Institute of Radio Metrology and Measurement Beijing 100854China

The composite time scale(CTS) provides an accurate and stable time-frequency reference for modern science and technology. Conventional CTS always features a centralized network topology, which means that the CTS is accompanied by a local master clock. This largely restricts the stability and reliability of the CTS. We simulate the restriction and analyze the influence of the master clock on the CTS. It proves that the CTS's long-term stability is also positively related to that of the master clock, until the region dominated by the frequency drift of the H-maser(averaging time longer than ~10~5s).Aiming at this restriction, a real-time clock network is utilized. Based on the network, a real-time CTS referenced by a stable remote master clock is achieved. The experiment comparing two real-time CTSs referenced by a local and a remote master clock respectively reveals that under open-loop steering, the stability of the CTS is improved by referencing to a remote and more stable master clock instead of a local and less stable master clock. In this way, with the help of the proposed scheme, the CTS can be referenced to the most stable master clock within the network in real time, no matter whether it is local or remote, making democratic polycentric timekeeping possible.

关键词： frequency synchronization network composite time scale frequency stability democratic timekeeping

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Lensless microimaging via a multimode fiber probe based on compression sampled speckles

Lensless microimaging via a multimode fiber probe based on c...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Wang, Lele Zhang, Yiwei Li, Dan Yan, Ping Xiao, Qirong State Key Laboratory of Precision Measurement Technology and Instruments Key Laboratory of Photonics Control Technology The Ministry of Education Department of Precision Instrument Tsinghua University Beijing100084 China

关键词：

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One-Shot Three-Dimensional measurement Based on Spectral Interferometry Using a Digital Micromirror Device 16

One-Shot Three-Dimensional Measurement Based on Spectral Int...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Zhang, Jinxu Shi, Liheng Gu, Yingying Zhang, Donglai Yin, Lu Wu, Guanhao Tsinghua University State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Beijing100084 China Beijing Institute of Control Engineering Space Optoelectronic Measurement and Perception Lab. Beijing100190 China China Academy of Space Technology National Key Laboratory of Space Intelligent Control Beijing100094 China

We present a one-shot 3D spectral interferometry technique using a digital micromirror device. By encoding the distribution of the spatial light field, this approach enables 3D imaging of step structures within 27 ms.... 详细信息

ISBN: (纸本)9798350372076

关键词： Interferometry

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EEG signals of depression diagnosis in recognition using deep learning methods

EEG signals of depression diagnosis in recognition using dee...

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作者： Xianyang Chen Department of Measurement and Control Technology and Instrument Beijing University of Technology

Depression is a mental disease which symptom is people feel negative about life during long *** the fast-paced social lifestyle,increasingly stress make people tired toward their life and *** prevalence rate of depression become higher ***,the frequent way to detect the depression is depended on the Self-Rating Depression Scale(SDS) and the diagnosis given by the Professional *** methods' performance is always unstable and ***(EEG) as a functional neuron signal have been widely used in neurology *** has been testified as a great tool to diagnose the *** learning(DL) can extract some latent features from complex data which tradition way can't analyze *** this reason DL intensely utilized in Medical *** paper aims to analyze the general and feasible solution of applying deep learning to diagnose depression through EEG *** reviews the relevant literature in this field in recent years,summarizes the corresponding methods and breakthroughs used in this paper,and systematically constructs this ***,based on the shortcomings and deficiencies found in these papers,the main problems that need to be addressed in the future are proposed,and the future potential of this field is discussed.

关键词： deep learning EEG depression diagnosis

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