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On-Chip Multimode WGM Microresonator with Cross-correlation algorithm for Enhanced Sensing

LASER & PHOTONICS REVIEWS 2024年第8期18卷 2301303-2301303页

作者： Mao, Wenbo Li, Fu Jia, Di Zhang, Qian Yang, Lan Washington Univ Dept Elect & Syst Engn St Louis MO 63130 USA Nankai Univ Sch Phys Tianjin 300071 Peoples R China

Optical whispering-gallery-mode (WGM) microresonators emerge as a frontrunner for precision measurement due to their high sensitivity and compact footprint. They have demonstrated superior capabilities in detecting a wide range of objects, spanning from variations in temperature, humidity, and magnetic field, to local perturbations caused by viruses or nanoparticles. Traditional methods often rely on monitoring spectral changes in a single WGM resonance to extract the relevant information of sensing targets. However, in scenarios involving multiple sensing targets of interest (e.g., molecule detection in a temperature-fluctuating environment), analyzing only one resonant mode may be insufficient, leading to inaccuracies or misinterpretations in deriving target information. To address this issue, a multimode-based cross-correlation algorithm is proposed to distinguish local perturbations from global environmental fluctuations. For validation, on-chip silicon microresonators and pulley bus waveguides are integrated for robust multimode excitation. A proof-of-concept experiment demonstrates the effectiveness of this method in detecting nanoparticles in an environment with temperature changes. This approach showcases versatility and applicability in various optical sensors, introducing new prospects for achieving high-sensitivity sensing through scalable integrated photonic platforms. On-chip whispering-gallery-mode (WGM) optical microdisk resonators and a multimode cross-correlation algorithm are proposed and demonstrated on a silicon-on-insulator (SOI) platform. They feature the capabilities to differentiate local sensing targets of interest from global environmental perturbations. A proof-of-concept for nanoparticle detection in variable temperatures is showcased, highlighting advancements in high-sensitivity sensing on integrated photonic platforms. image

关键词： correlation algorithm multimode optical sensing silicon photonics

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A hybrid method based on Band Pass Filter and correlation algorithm to improve debris sensor capacity

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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2017年第0期82卷 1-12页

作者： Hong, Wei Wang, Shaoping Liu, Haokuo Tomovic, Mileta M. Chao, Zhang Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China Sci & Technol Aircraft Control Lab Beijing 100191 Peoples R China Old Dominion Univ Coll Engn & Technol Norfolk VA 23529 USA

The inductive debris detection is an effective method for monitoring mechanical wear, and could be used to prevent serious accidents. However, debris detection during early phase of mechanical wear, when small debris (<100 um) is generated, requires that the sensor has high sensitivity with respect to background noise. In order to detect smaller debris by existing sensors, this paper presents a hybrid method which combines Band Pass Filter and correlation algorithm to improve sensor signal-to-noise ratio (SNR). The simulation results indicate that the SNR will be improved at least 2.67 times after signal processing. In other words, this method ensures debris identification when the sensor's SNR is bigger than 3 dB. Thus, smaller debris will be detected in the same SNR. Finally, effectiveness of the proposed method is experimentally validated. (C) 2016 Published by Elsevier Ltd.

关键词： Inductive debris sensor Real-time oil monitoring Signal processing correlation algorithm Band Pass Filter

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Near-infrared aberration tracking using a correlation algorithm on the Galactic Center 4

Near-infrared aberration tracking using a correlation algori...

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Conference on Adaptive Optics Systems IV

作者： Anugu, Narsireddy Garcia, Paulo Amorim, Antonio Gordo, Paulo Eisenhauer, Frank Perrin, Guy Brandner, Wolfgang Straubmeier, Christian Perraut, Karine Univ Porto Fac Engn Lab SIM Unidade FCT 4006 P-4200465 Oporto Portugal Max Planck Inst Extraterr Phys D-85741 Garching Germany SIM P-1749016 Lisbon Portugal FCUL P-1749016 Lisbon Portugal Observ Paris F-75014 Paris France MaxPlanck Inst Astron Heidelberg Germany Univ Cologne Cologne Germany IPAG Grenoble France

ISBN: (纸本)9780819496164

The GRAVITY acquisition camera has four 9x9 Shack-Hartmann sensors operating in the near-infrared. It measures the slow variations of a quasi-distorted wavefront of four telescope beams simultaneously, by imaging the Galactic Center field. The Shack-Hartmann lenslet images of the Galactic Center are generated. Since the lenslet array images are filled with the crowded Galactic Center stellar field, an extended object, the local shifts of the distorted wavefront have to be estimated with a correlation algorithm. In this paper we report on the accuracy of six existing centroid algorithms for the Galactic Center stellar field. We show the VLTI tunnel atmospheric turbulence phases are reconstructed back with a precision of 100 nm at 2 s integration.

关键词： adaptive optics correlation algorithm aberration sensing wavefront sensing optical and infrared interferometry GRAVITY VLTI

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Chromatic confocal displacement measurment based on correlation algorithm

Chromatic confocal displacement measurment based on correlat...

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2nd International Conference on Mechanics and Control Engineering (ICMCE 2013)

作者： Niu, Chun-Hui Lv, Yong Beijing Informat Sci & Technol Univ Photoelect Sch Beijing 100192 Peoples R China

ISBN: (纸本)9783037859087

Chromatic confocal technique application in displacement measurement is studied theoretically and experimentally, a set of refractive lenses are designed and a measurement system is established. correlation fitting method is proposed to fit spectrum curve and find peak wavelength. Results with use of correlation fitting method are compared with Gaussian and smoothing spline fitting methods. It indicate that correlation fitting method have higher extracting accuracy of peak wavelength and smaller RMSE of linear fitting due to narrower and smoother correlation curve.

关键词： chromatic confocal technique correlation algorithm displacement sensor

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Detecting Phishing SMS Based on Multiple correlation algorithms

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SN Computer Science 2020年第6期1卷 361页

作者： Sonowal, Gunikhan Department of Computer Science Pondicherry University Pondicherry India

The SMS phishing is another method where the phisher operates the SMS as a medium to communicate with the victims and this method is identified as smishing (SMS + phishing). Researchers promoted several anti-phishing methods where the correlation algorithm is applied to explore the relevancy of the features since there are numerous features in the features corpus. The correlation algorithm assesses the rank of the features that is the highest rank leads to the more relevant to the appropriate assignment. Therefore, this paper analyses four rank correlation algorithms particularly Pearson rank correlation, Spearman’s rank correlation, Kendall rank correlation, and Point biserial rank correlation with a machine-learning algorithm to determine the best features set for detecting Smishing messages. The result of the investigation reveals that the AdaBoost classifier offered better accuracy. Further analysis shows that the classifier with the ranking algorithm that is Kendall rank correlation appeared superior accuracy than the other correlation algorithms. The inferred of this experiment confirms that the ranking algorithm was able to reduce the dimension of features with 61.53% and presented an accuracy of 98.40%. © 2020, Springer Nature Singapore Pte Ltd.

关键词： correlation algorithm Machine Learning algorithm Phishing Smishing

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Improved Signal Processing algorithm to Enhance the Performance of Electrostatic Sensors for Particle Velocity Measurement

Improved Signal Processing Algorithm to Enhance the Performa...

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IEEE Sensors Conference

作者： Reda, Kamel Wang, Tao Yan, Yong Walsn Ltd Canterbury Kent England Univ Kent Sch Engn Canterbury Kent England

ISBN: (纸本)9798350303872

This paper proposes an improved cross-correlation signal processing algorithm for the velocity measurement of pneumatically conveyed solids using electrostatic sensors. The proposed algorithm increases the measurement accuracy in noisy environments and improves the dynamic response for real-time applications. The effectiveness of the proposed algorithm was evaluated through computer simulation and experimental tests.

关键词： correlation algorithm electrostatic sensors particle velocity two-phase flow

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An Improved Time Delay Measurement Method for the Long-Distance Underwater Environment

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SENSORS 2023年第8期23卷 4027-4027页

作者： Wu, Ruisheng Wang, Yuzhe Huang, Lidong Zou, Zhuoyang Wu, Bin Hainan Univ Sch Cyberspace Secur Haikou 570228 Peoples R China Zhejiang Univ Coll Biomed Engn & Instrument Sci Hangzhou 310027 Peoples R China Zhejiang Univ Ocean Coll Hangzhou Peoples R China

With the development of underwater navigation and underwater communication, it remains difficult to obtain time delay measurements after propagating long distance. This paper proposes an improved high-accuracy time delay measuring method for long distance underwater channel propagation. First, by sending an encoded signal, the signal acquisition is carried out at the receiving end. Then, to improve signal to noise ratio (SNR), bandpass filtering is carried out on the receiving end. Next, considering the random changes in the underwater sound propagation channel, a strategy is proposed to select the optimal time window for cross-correlation. Then, new regulations are proposed to calculate the cross-correlation results. To verify the effectiveness of the algorithm, we compared it with other algorithms under low SNR conditions using Bellhop simulation data. Finally, the accurate time delay is obtained. With underwater experiments over different distances, the method proposed by the paper achieves high accuracy. The error is about 10(-3) s. The proposed method makes a contribution to underwater navigation and communication.

关键词： long distance correlation algorithm underwater time delay optimal time windows low SNR Bellhop model

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Research on Comprehensive Evaluation and Early Warning of Transmission Lines' Operation Status Based on Dynamic Cloud Computing

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SENSORS 2023年第3期23卷 1469-1469页

作者： Wang, Minzhen Li, Cheng Wang, Xinheng Piao, Zheyong Yang, Yongsheng Dai, Wentao Zhang, Qi Changchun Inst Technol Natl Local Joint Engn Res Ctr Smart Distribut Grid Changchun 130012 Peoples R China Xian Jiaotong Liverpool Univ XJTLU Sch Adv Technol 111 Renai Rd Suzhou 215123 Peoples R China Baicheng Power Supply Co State Grid Jilin Elect Power Co Ltd Baicheng 137000 Peoples R China

The current methods for evaluating the operating condition of electricity transmission lines (ETLs) and providing early warning have several problems, such as the low correlation of data, ignoring the influence of seasonal factors, and strong subjectivity. This paper analyses the sensitive factors that influence dynamic key evaluation indices such as grounding resistance, sag, and wire corrosion, establishes the evaluation criteria of the ETL operation state, and proposes five ETL status levels and seven principles for selecting evaluation indices. Nine grade I evaluation indices and twenty-nine grade II evaluation indices, including passageway and meteorological environments, are determined. The cloud model theory is embedded and used to propose a warning technology for the operation state of ETLs based on inspection defect parameters and the cloud model. Combined with the inspection defect parameters of a line in the Baicheng district of Jilin Province and the critical evaluation index data such as grounding resistance, sag, and wire corrosion, which are used to calculate the timeliness of the data, the solid line is evaluated. The research shows that the dynamic evaluation model is correct and that the ETL status evaluation and early warning method have reasonable practicability.

关键词： electricity transmission line exponential scaling method comprehensive analysis correlation algorithm status assessment cloud computing

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Data Processing Approaches to Measure Velocity of Electromagnetic Gun on Laser Screen in Complex Environment

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SENSORS 2022年第17期22卷 6573页

作者： Hao, Huiyan Liu, Wenyu Xu, Peng Zhao, Hui North Univ China Sch Informat & Commun Engn Taiyuan 030051 Peoples R China

The exit velocity of the armature is an important indicator in measuring the launching performance of the electromagnetic gun. The non-contact photoelectric detection technology with the use of a laser screen was applied to the measurement of the armature velocity of the electromagnetic gun. By means of taking the signals that pass through the laser screen obtained by the velocity measurement system as the research object, we solved problems such as the harsh test environment of the launch armature velocity of the electromagnetic gun, the interferences on the armature signal passing through the laser screen unavoidably caused by various factors such as vibration, electromagnetic interference, shock wave, flare, smoke and fragments, and even the non-recognition of the signal passing through the laser screen in severe cases. A data-processing algorithm that combines the Ensemble Empirical Mode Decomposition (EEMD) with correlation algorithm (CA) was proposed, with the aim of processing the signals passing through the laser screen, while using the maximum slope point as the time passing through the laser screen so as to calculate the velocity of the armature passing the laser screen. This method can effectively reduce the influence of interference on the test results, and the test results from two sets of velocity measuring systems show that the velocity obtained by the proposed approach is highly consistent.

关键词： velocity measurement laser screen Ensemble Empirical Mode Decomposition correlation algorithm

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Intelligent Processing of Voice Messages in Civil Aviation: Message Recognition and the Emotional State of the Speaker Analysis 15

Intelligent Processing of Voice Messages in Civil Aviation: ...

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International Siberian Conference on Control and Communications (SIBCON)

作者： Andriyanov, Nikita Andriyanov, Danila Financial Univ Govt Russian Federat Dept Data Anal & Machine Learning Moscow Russia Ulyanovsk State Tech Univ Fac Informat Syst & Technol Ulyanovsk Russia

ISBN: (纸本)9781728185040

The text deals with the problems of recognition of speech messages pronounced in the prescribed form in accordance with aviation regulations. In addition, during the analysis of the phrase of an aircraft crew member, a forecast is made about the emotional state of such a person. The basis is the frequency representation of signals associated with the known time Fourier transform. algorithms based on correlation analysis, neural networks with backpropagation of errors and Gaussian mixture models are compared. The correlation algorithm provides the best results when recognizing a specific phrase pattern (reaching 94% with a signal-to-noise ratio of 2), however, it is inferior to the neural network algorithm and the algorithm based on the Gaussian mixture model when predicting the emotional state of the speaker.

关键词： data mining neural networks backpropagation of errors correlation algorithm speech recognition emotional state recognition by speech flight safety aviation telecommunications

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