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Journal articles on the topic 'Mode extraction'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Nagy, Júlia, and Tibor Veress. "Systematic Error for Extraction of Controlled Substances from Plant/Fungal Materials." Journal of Chromatographic Science 58, no. 10 (2020): 985–91. http://dx.doi.org/10.1093/chromsci/bmaa067.

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Abstract The aim of this work was to investigate the applicability of a mathematical model developed for the description of supercritical fluid extraction (SFE) of cannabinoids from marijuana and hashish for liquid extraction of other substances. The mentioned model is applicable for dynamic SFE whose implementation is analogous to liquid–solid extraction in quasi-counter current mode. According to this model, quasi-counter current liquid–solid extractions were designed by calculation of component transport constants for extractions of psilocin from hallucinogenic mushroom, mescaline from hall

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Park, Yongsung, Peter Gerstoft, and Woojae Seong. "Grid-free compressive mode extraction." Journal of the Acoustical Society of America 145, no. 3 (2019): 1427–42. http://dx.doi.org/10.1121/1.5094345.

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Myasoyedenkov, V. M., and J. O. Nagiyeva. "COMPARISON OF STATIONARY AND CYCLIC MODES OF INJECTOR-TYPE EXTRACTING COLUMN." Fine Chemical Technologies 11, no. 2 (2016): 31–37. http://dx.doi.org/10.32362/2410-6593-2016-11-2-31-37.

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Mathematical models were developed for two operational modes of the injector-type extraction column upon separation of the initial mixture. On the basis of a numerical experiment comparison of the cyclic operational mode with the stationary operational mode was carried out with respect to the extraction degree and the energy demand. It was confirmed that, as compared to the stationary operational mode, the cyclic operational mode provides a greater degree of extraction. The ratio of the extraction degrees in these operational modes of the extractor depending on the mass transfer criterion is o

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Liu, Chuliang, Jianping Tan, and Zhonghe Huang. "Fault Diagnosis of Rolling Element Bearings Based on Adaptive Mode Extraction." Machines 10, no. 4 (2022): 260. http://dx.doi.org/10.3390/machines10040260.

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Generally speaking, vibration signals collected by sensors always contain complex frequency components, which will bring great trouble to bearing condition monitoring and fault diagnosis. A reliable fault signal component extraction method is significant to detect the fault-induced weak repetitive transients. Therefore, many signal decomposition or extraction methods have been developed and are widely employed in fault diagnosis. Based on the recently proposed variational mode extraction (VME) method, an adaptive optimal mode extraction method was designed with a new strategy to extract the mo

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Tartaglia, Angela, Marcello Locatelli, Abuzar Kabir, et al. "Comparison between Exhaustive and Equilibrium Extraction Using Different SPE Sorbents and Sol-Gel Carbowax 20M Coated FPSE Media." Molecules 24, no. 3 (2019): 382. http://dx.doi.org/10.3390/molecules24030382.

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This paper reports the performance comparison between the exhaustive and equilibrium extraction using classical Avantor C18 solid phase extraction (SPE) sorbent, hydrophilic-lipophilic balance (HLB) SPE sorbent, Sep-Pak C18 SPE sorbent, novel sol-gel Carbowax 20M (sol-gel CW 20M) SPE sorbent, and sol-gel CW 20M coated fabric phase sorptive extraction (FPSE) media for the simultaneous extraction and analysis of three inflammatory bowel disease (IBD) drugs that possess logP values (polarity) ranging from 1.66 for cortisone, 2.30 for ciprofloxacin, and 2.92 for sulfasalazine. Both the commercial

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H�nes, Frank, and J�rgen Lichter. "Layout extraction of mixed mode documents." Machine Vision and Applications 7, no. 4 (1994): 237–46. http://dx.doi.org/10.1007/bf01213414.

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Wu, Bin, Yun He, and Song Feng. "Extracting Modal Parameters of Constrained Structure from Free Test Data." Applied Mechanics and Materials 110-116 (October 2011): 4198–203. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.4198.

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This study explores the method of extracting modal parameters of constrained structure from test data. The normal mode spectrum matrix constituted of low order frequencies of the structure can be derived from the free test data, while the normal mode shapes and the extra high order modes can be obtained through FEM analysis; The boundary constrains are equivalent as a kind of sub-structure, and the modal synthesis is used to extract the constrained modal parameters. Experiment and simulation are conducted and the results show that the extraction method based on the modal synthesis and which co

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Yoon, Seunghyun, Yongsung Park, and Woojae Seong. "Improving mode extraction with physics-informed neural network." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A339—A340. http://dx.doi.org/10.1121/10.0023729.

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This study aims to enhance conventional mode extraction methods in ocean waveguides using a physics-informed neural network (PINN). Mode extraction involves estimating mode wavenumbers and corresponding mode depth functions. The approach considers a scenario with a single frequency source towed at a constant depth and measured from a vertical line array (VLA). Conventional mode extraction methods applied to experimental data face two problems. First, mode shape estimation is limited because the receivers only cover a partial waveguide. Second, the wavenumber spectrum is affected by issues such

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9

Guo, Xiaoli, Qingyu Shan, Zhenming Zhang, and Zhaoyang Qu. "Visual Extraction of Refined Operation Mode of New Power System Based on IPSO-Kmeans." Electronics 12, no. 10 (2023): 2326. http://dx.doi.org/10.3390/electronics12102326.

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Due to the influence of the high proportion of renewable energy penetration, the time-varying and complex operation mode of the new power system is gradually increasing, leading to a lack of fineness and practicality of traditional operation modes. To this end, a new visual extraction method for fine operation mode of power system is proposed. Specifically, aiming at the dimensional problem between high-dimensional electrical characteristic variables, a power grid operation data preprocessing method based on maximum absolute standardization (MaxAbs) is designed. Then, in order to reduce the im

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Rakitskii, V. N., Natalia E. Fedorova, and V. V. Bayusheva. "NEONICOTINOID INSECTICIDES/ACARICIDES: THE DETERMINATION OF RESIDUES IN IMPORTED FOOD PRODUCTS." Hygiene and sanitation 97, no. 6 (2018): 552–56. http://dx.doi.org/10.18821/0016-9900-2018-97-6-552-556.

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Introduction. This paper presents the results of a study determination of neonicotinoids’ residues (thiamethoxam and its metabolite clothianidin) in imported food products (bananas, citrus fruits, tea, and coffee-beans) using tandem liquid-mass spectrometry (HPLC-MS/MS) of the last generation, ionization source, ESI (positive ionization mode). The mode of the MRM with two parent-ion transitions was used for the identification (for quantitative calculation and confirmation for an ionic ratio). Material and methods. The sample preparation procedure was performed on the QuEChERS technology, inclu

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Levi, I., A. Kaizerman, and A. Fish. "Low voltage dual mode logic: Model analysis and parameter extraction." Microelectronics Journal 44, no. 6 (2013): 553–60. http://dx.doi.org/10.1016/j.mejo.2013.03.005.

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12

May-Ostendorp, Peter, Gregor P. Henze, Charles D. Corbin, Balaji Rajagopalan, and Clemens Felsmann. "Model-predictive control of mixed-mode buildings with rule extraction." Building and Environment 46, no. 2 (2011): 428–37. http://dx.doi.org/10.1016/j.buildenv.2010.08.004.

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Hosseini, Amir, John Covey, David N. Kwong, and Ray T. Chen. "Tapered multi-mode interference couplers for high order mode power extraction." Journal of Optics 12, no. 7 (2010): 075502. http://dx.doi.org/10.1088/2040-8978/12/7/075502.

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Chen, Ye Qu, Wen Zheng, and Xie Ben Wei. "Application of EMD to Integrated Signal Trend Extraction." Advanced Materials Research 591-593 (November 2012): 2072–76. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.2072.

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Huang’s data-driven technique of Empirical Mode Decomposition (EMD) is presented, and issues related to its effective implementation are discussed. Integrating signal directly will produce a trend, it will cause distortion and interfere with the calculation results. This paper discusses the reasons that cause the integrated signal trend, compares the different methods for extracting trend. The traditional steps use the linear fitting and a high-pass filter to remove low frequency signal to extract trend. This paper uses Empirical Mode Decomposition (EMD) method to extract integrated signals tr

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Li, Yuxing, Bingzhao Tang, and Shangbin Jiao. "Optimized Ship-Radiated Noise Feature Extraction Approaches Based on CEEMDAN and Slope Entropy." Entropy 24, no. 9 (2022): 1265. http://dx.doi.org/10.3390/e24091265.

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Slope entropy (Slopen) has been demonstrated to be an excellent approach to extracting ship-radiated noise signals (S-NSs) features by analyzing the complexity of the signals; however, its recognition ability is limited because it extracts the features of undecomposed S-NSs. To solve this problem, in this study, we combined complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to explore the differences of Slopen between the intrinsic mode components (IMFs) of the S-NSs and proposed a single-IMF optimized feature extraction approach. Aiming to further enhance its perform

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An, Guoping, Qingbin Tong, Yanan Zhang, et al. "An Improved Variational Mode Decomposition and Its Application on Fault Feature Extraction of Rolling Element Bearing." Energies 14, no. 4 (2021): 1079. http://dx.doi.org/10.3390/en14041079.

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The fault diagnosis of rolling element bearing is of great significance to avoid serious accidents and huge economic losses. However, the characteristics of the nonlinear, non-stationary vibration signals make the fault feature extraction of signal become a challenging work. This paper proposes an improved variational mode decomposition (IVMD) algorithm for the fault feature extraction of rolling bearing, which has the advantages of extracting the optimal fault feature from the decomposed mode and overcoming the noise interference. The Shuffled Frog Leap Algorithm (SFLA) is employed in the opt

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Zuo, Shaojie, Zhaolong Ge, Zhe Zhou, Li Wang, and Hanyun Zhao. "A Novel Hydraulic Mode to Promote Gas Extraction: Pressure Relief Technologies for Tectonic Regions and Fracturing Technologies for Nontectonic Regions." Applied Sciences 9, no. 7 (2019): 1404. http://dx.doi.org/10.3390/app9071404.

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Extraction of gas (coalbed methane) produces clean energy and can ensure that coal mines maintain high-efficiency production. The currently available coal seam permeability enhancing technologies and modes have certain application restrictions. Therefore, a novel mode is proposed to promote gas extraction. This mode divides complex coal seams into tectonic regions and nontectonic regions based on geological structures. Then, the characteristics of different regions are matched with the advantages of different hydraulic technologies; thus, pressure relief technologies are proposed for tectonic

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18

Hu, Qiao, Zheng Jia He, Yanyang Zi, Zhou Suo Zhang, and Yaguo Lei. "Intelligent Fault Diagnosis in Power Plant Using Empirical Mode Decomposition, Fuzzy Feature Extraction and Support Vector Machines." Key Engineering Materials 293-294 (September 2005): 373–82. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.373.

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In this paper, a novel intelligent fault diagnosis method based on empirical mode decomposition (EMD), fuzzy feature extraction and support vector machines (SVM) is proposed. The method consists of two stages. In the first stage, intrinsic mode components are obtained with EMD from original signals and converted into fuzzy feature vectors, and then the mechanical fault can be detected. In the second stage, these extracted fuzzy feature vectors are input into the multi-classification SVM to identify the different abnormal cases. The proposed method is applied to the classification of a turbo-ge

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Habibi, Nasim, Amin Khavasi, Mehdi Miri, and Khashayar Mehrany. "Circuit model for mode extraction in lossy/lossless photonic crystal waveguides." Journal of the Optical Society of America B 29, no. 1 (2011): 170. http://dx.doi.org/10.1364/josab.29.000170.

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MATSUBARA, Masami, Yuma SASAKI, Tomohiko ISE, and Shozo KAWAMURA. "Extraction of main vibration shape at multi input by representative mode extraction method." Proceedings of Mechanical Engineering Congress, Japan 2018 (2018): G1000502. http://dx.doi.org/10.1299/jsmemecj.2018.g1000502.

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21

Pelstring, J. A., E. E. Waller, D. A. Jordan, and R. W. Miksad. "Partial Reconstruction of Wavelet Transforms: A Technique for Quantifying Amplitude Envelopes of Riser Response Modes." Journal of Offshore Mechanics and Arctic Engineering 125, no. 4 (2003): 225–33. http://dx.doi.org/10.1115/1.1603310.

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Knowledge of the frequencies and amplitudes and single-mode versus multi-mode behavior of deepwater riser responses is important for accurate fatigue analysis. The extraction of this information from measured riser responses is a significant challenge given the complexity of the phenomena involved with riser vibrations. An existing technique for obtaining modal amplitudes, wavelet ridge extraction (WRE), has been shown to return a smoothed version of the actual amplitude envelope, resulting in attenuated peak values. In this paper, we introduce a new wavelet-based technique, partial reconstruc

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22

Li, Zhiyuan, Xuan Fu, Chengjian Mo, Jianlong Tang, Ronghua Guo, and Wenbo Li. "A MFR Work Modes Recognition Method Based on Dual-Scale Feature Extraction." Remote Sensing 17, no. 6 (2025): 1054. https://doi.org/10.3390/rs17061054.

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Multi-function radar (MFR) work modes recognition is an important research component of the electronic reconnaissance field. When facing MFR systems equipped with complex mode-waveform mapping relationships and flexible beam scanning techniques, the intercepted work mode pulse sequences have a wide temporal range of feature distributions and variable durations, which bring significant challenges for accurate recognition. To address this issue, this study constructs a novel hierarchical MFR signal model with waveform multiplexing and waveform scheduling laws with spatial beam arrangement and pr

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23

Yin, Aijun, and Hongji Ren. "A propagating mode extraction algorithm for microwave waveguide using variational mode decomposition." Measurement Science and Technology 26, no. 9 (2015): 095009. http://dx.doi.org/10.1088/0957-0233/26/9/095009.

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24

Mattheck, C., and H. Moldenhauer. "Mode-extraction from mixed mode analysis of cracks by special filter-technique." International Journal of Fracture 34, no. 3 (1987): 209–18. http://dx.doi.org/10.1007/bf00019718.

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25

Zhang Yan, 张炎, 杨春平 Yang Chunping, 郭晶 Guo Jing, 康美苓 Kang Meiling, and 吴健 Wu Jian. "Spectrum extraction mode for Fourier telescopy in laboratory." High Power Laser and Particle Beams 23, no. 3 (2011): 571–76. http://dx.doi.org/10.3788/hplpb20112303.0571.

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26

Walker, Shane, Philippe Roux, and William A. Kuperman. "Mode extraction from acoustic backscatter in a waveguide." Journal of the Acoustical Society of America 117, no. 4 (2005): 2612. http://dx.doi.org/10.1121/1.4778034.

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Krolick, William, and Mark Owkes. "PRIMARY ATOMIZATION INSTABILITY EXTRACTION USING DYNAMIC MODE DECOMPOSITION." Atomization and Sprays 28, no. 12 (2018): 1061–79. http://dx.doi.org/10.1615/atomizspr.2019029356.

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TSOLIS, GEORGE S., and THOMAS D. XENOS. "FUZZY INTRINSIC MODE ENTROPY FOR DATA FEATURE EXTRACTION." Advances in Adaptive Data Analysis 04, no. 01n02 (2012): 1250009. http://dx.doi.org/10.1142/s1793536912500094.

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The notion of fuzzy entropy (FuzzyEn) is extended to the multiscale case by combining FuzzyEn and empirical mode decomposition (EMD). The proposed technique, fuzzy intrinsic entropy (FIMEn) performs better than its predecessor intrinsic monde entropy (IMEn) and it is less dependent on the algorithmic parameters. In a pattern recognition context, FIMEn provides more separable clusters than IMEn when used for feature extraction, thus allowing for less classification error. The above results suggest that the proposed multiscale entropy metric is a very promising technique for evaluating data regu

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Tan, C. Y., W. K. Ngui, M. S. Leong, and M. H. Lim. "Blade fault diagnosis using empirical mode decomposition based feature extraction method." MATEC Web of Conferences 255 (2019): 06009. http://dx.doi.org/10.1051/matecconf/201925506009.

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Blade fault diagnosis had become more significant and impactful for rotating machinery operators in the industry. Many works had been carried out using different signal processing techniques and artificial intelligence approaches for blade fault diagnosis. Frequency and wavelet based features are usually used as the input to the artificial neural network for blade fault diagnosis. However, the application of others time-frequency based feature extraction technique and artificial intelligence approach for blade fault diagnosis is still lacking. In this study, a novel blade fault diagnosis metho

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Zhang, Luwei, Yanyu Chu, Yong Zhou, Gaofeng Ren, Yongxiang Ge, and Jun Liu. "The In-Hexagon Borehole Layout for the Optimization of the Effective Radius of Gas Extraction." Sustainability 15, no. 17 (2023): 12711. http://dx.doi.org/10.3390/su151712711.

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This research was conducted in order to study the relationship between gas geology (initial gas pressure, initial permeability, and buried depth) and effective extraction radius and to achieve precise borehole layouts. Based on the in-hexagon borehole layout mode, the influence of geological factors on borehole effective extraction radius is quantitatively analyzed. Combined with gas geology, the precise borehole layout mode of gas extraction is constructed. The results show that: Based on the two evaluation indexes of borehole number and area redundancy rate, the optimal implementation scheme

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Iftikhar, Sadaf, Khalid Hussain, Muhammad Saleem, et al. "Impact of extraction mode on phytoconstituents and antidiabetic activity of extracts of Calotropis procera (Aiton) Dryand." Journal of Pharmacy & Pharmacognosy Research 10, no. 1 (2022): 30–38. http://dx.doi.org/10.56499/jppres21.1121_10.1.30.

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Context: The extraction mode plays a key role in extracting a particular type of pharmacologically active compounds that can be isolated as leads to develop novel therapeutic molecules. Aims: To evaluate the impact of extraction mode on extract yield, phytochemicals constituents, and antidiabetic activity of different parts of the Calotropis procera. Methods: The different parts extracts were prepared by maceration and Soxhlet extraction. The resulting extracts were subjected to determining phytochemical constituents and antidiabetic activity using in vitro models (inhibition of alpha-amylase,

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Kobus, Zbigniew, Monika Krzywicka, Anna Pecyna, and Agnieszka Buczaj. "Process Efficiency and Energy Consumption during the Ultrasound-Assisted Extraction of Bioactive Substances from Hawthorn Berries." Energies 14, no. 22 (2021): 7638. http://dx.doi.org/10.3390/en14227638.

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This study investigated the impact of sonication parameters on the efficiency of the extraction of bioactive substances from hawthorn berries. The ultrasonic treatment was performed in two modes: continuous and pulse. In the pulse mode, the samples were sonicated with the following processor settings: 1 s on-2 s off. The effective ultrasonic processor times were 5, 10, and 15 min, and the total extraction times were 15 min, 30 min, and 45 min. The content of total polyphenols and total anthocyanins was determined by a spectrophotometric method. We show that the operating mode of the processor

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Dou, Chun Hong. "Fault Feature Extraction for Gearboxes Using Empirical Mode Decomposition." Advanced Materials Research 383-390 (November 2011): 1376–80. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1376.

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The paper uses empirical mode decomposition to extract the fault feature of gearboxes. Traditional techniques fail to process the non-stationary and nonlinear signals. Empirical mode decomposition is a powerful tool for the non-stationary and nonlinear signal analysis and has attracted considerable attention recently. First, a simulation signal is used to measure the performance of the empirical mode decomposition method. Then, the empirical mode decomposition method is applied to analyze the signals captured from the gearbox with multiple faults and successfully extracts the multiple fault in

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34

Sulistya, Yudha Islami, Ariq Cahya Wardhana, Maie Istighosah, and Arif Riyandi. "Automated Google Scholar Crawling with a Web-Based Tool for Publication Data Management." Jurnal Teknologi Dan Sistem Informasi Bisnis 6, no. 4 (2024): 768–73. http://dx.doi.org/10.47233/jteksis.v6i4.1604.

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Here’s the revised abstract in English: The rapid growth of academic publications requires efficient tools for publication data extraction and management, especially from widely used platforms like Google Scholar. To address this need, an automated web-based tool was developed, designed to simplify the processes of data crawling, extraction, and publication data management, allowing researchers to handle large volumes of academic publications more effectively. The tool supports both simple and detailed crawling modes, enabling users to input multiple Google Scholar URLs and neatly organize the

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Wang, Zexing, Hongwen He, Yang Zhang, Shuang Ji, and Zhihui Duan. "Working mode division and shift schedule extraction of a parallel hybrid power system." Journal of Physics: Conference Series 2785, no. 1 (2024): 012083. http://dx.doi.org/10.1088/1742-6596/2785/1/012083.

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Abstract For hybrid electric vehicles, working mode division and shift schedule are two decisive factors affecting vehicle fuel economy. This paper introduces a method for vehicle working mode division and shift schedule determination on the basis of optimal system efficiency. The key index named ‘fuel-electricity conversion efficiency’ is defined and calculated. Via this method, unreasonable gear modes in specific working modes are excluded and the mode transition map and upshifting curves in each working mode are extracted. The simulation results demonstrate that, with the application of the

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Yabalak, Erdal, and Murat Gizir. "Subcritical and supercritical fluid extraction of heavy metals from sand and sewage sludge." Journal of the Serbian Chemical Society 78, no. 7 (2013): 1013–22. http://dx.doi.org/10.2298/jsc120321123y.

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Demetalization of Pb, Ni, Zn, Cu and Cr heavy metal ions from sea sand and real samples of sewage sludge by subcritical water and supercritical carbon dioxide was investigated. Experimental parameters such as temperature, pressure, extraction time in the static and dynamic mode and sampling were optimized in order to determine the suitable conditions for high metals removal. The best extraction efficiencies were obtained by using acetyl acetonate as chelating agent in both subcritical water and supercritical CO2 extractions for real and artificial samples. Samples collected from extraction sys

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Ni, Junjie, Gangjin Huang, Jing Yang, Nan Wang, and Junheng Fu. "Early-Fault Feature Extraction for Rolling Bearings Based on Parameter-Optimized Variation Mode Decomposition." Machines 13, no. 3 (2025): 210. https://doi.org/10.3390/machines13030210.

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Bearing-vibration signals, characterized by strong non-stationarity, typically consist of multiple components. The periodic pulses related to bearing faults are frequently obscured by surrounding noise, and early bearing-fault vibrations are feeble, which complicates the extraction of inherent fault characteristics. The aim of this research is to develop an effective method for extracting early-fault characteristic frequencies in rolling bearings. VMD, short for variational mode decomposition, is an innovative technique rooted in the classical Wiener filter for analyzing signals that include m

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Chen, Dongfeng, Honglei Wei, Wei Kong, Lijuan Zhang, and Rui Li. "Analysis of travel mode selection behavior based on machine learning in context of big data." Journal of Combinatorial Mathematics and Combinatorial Computing 125 (March 30, 2025): 123–33. https://doi.org/10.61091/jcmcc125-09.

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With development of Internet of Things, big data and artificial intelligence, cell phone signaling data, point-of-interest data and machine learning methods have been widely used in research of various fields of transportation. The use of big data processing techniques and machine learning methods to mine intercity travel data collected by various types of traffic detectors provides a new way of thinking to study travel mode selection behavior. In this paper, we pre-processed cell phone signaling data, geospatial data and interest point data around three aspects: personal attributes, travel at

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Lee, Ho Nyeon. "An OLED Surface-Plasmon-Polariton Mode Energy Extraction Method Using a Dielectric Extraction Layer." Applied Mechanics and Materials 548-549 (April 2014): 3–6. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.3.

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A new surface-plasmon-polariton mode energy extraction method using a deielectric extraction layer (DEL) was suggested. A numerical analysis was conducted to varify the feasibility of the extraction method and to find out the optimal values of the design pararmeters. Refractive index of the DEL should be larger than that of oragnic layers of organic light-emitting diodes. In addition, the thickness of the semi-transparent cathode had an optimal range.

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DAHDOUH, ADEL, SAID BARKAT, and AISSA CHOUDER. "A Combined Sliding Mode Space vector Modulation Control of the Shunt Active Power Filter Using Robust Harmonic Extraction Method." Algerian Journal of Signals and Systems 1, no. 1 (2021): 37–46. http://dx.doi.org/10.51485/ajss.v1i1.17.

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This paper presents a combined sliding mode space vector modulation control of the shunt active power filter using robust harmonic extraction method to improve the power quality such as current harmonics and reactive power compensation due to the non-linear loads and unbalanced voltage source. To verify the validity of the analysis and the feasibility of the proposed control method a set of simulation tests have been conducted using Matlab/Simulink. A comparison between the conventional instantaneous powers method (PQ) used for harmonic extracting and the new PQ based on a multivariable extrac

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Yang, Chun-Bai-Xue, Shi-Jin Feng, and Qi-Teng Zheng. "Influence of extraction and injection conditions on the performance of thermal-enhanced soil vapor extraction." IOP Conference Series: Earth and Environmental Science 1335, no. 1 (2024): 012026. http://dx.doi.org/10.1088/1755-1315/1335/1/012026.

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Abstract Thermal-enhanced soil vapor extraction (T-SVE) is an in-situ remedial technique that can address the limitations of contaminant mass transfer and soil permeability. The relative humidity of the injected air, heating temperature of the thermal well, extraction pressure, and extraction mode are important design parameters of a T-SVE system that determine the temporal and spatial distributions of soil temperature and removal rate. Using a thermal–hydraulic–chemical coupled model with the interphase mass transfer of contaminants and water evaporation/condensation, this study investigated

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Esmaiel, Hamada, Dongri Xie, Zeyad A. H. Qasem, Haixin Sun, Jie Qi, and Junfeng Wang. "Multi-Stage Feature Extraction and Classification for Ship-Radiated Noise." Sensors 22, no. 1 (2021): 112. http://dx.doi.org/10.3390/s22010112.

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Due to the complexity and unique features of the hydroacoustic channel, ship-radiated noise (SRN) detected using a passive sonar tends mostly to distort. SRN feature extraction has been proposed to improve the detected passive sonar signal. Unfortunately, the current methods used in SRN feature extraction have many shortcomings. Considering this, in this paper we propose a new multi-stage feature extraction approach to enhance the current SRN feature extractions based on enhanced variational mode decomposition (EVMD), weighted permutation entropy (WPE), local tangent space alignment (LTSA), an

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Liu, Zhaohui. "Research on Feature Extraction Strategy Based on Improved Empirical Mode Decomposition Method." Journal of Engineering System 1, no. 3 (2023): 31–36. http://dx.doi.org/10.62517/jes.202302306.

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An improved empirical mode decomposition method is proposed to address the issues of modal aliasing and endpoint effects that affect the accuracy of fault diagnosis in traditional empirical mode decomposition methods. This method uses a median filter with a variable window when generating the intrinsic mode function (IMF). Compared with the traditional empirical mode decomposition method, the improved empirical mode decomposition method (IEMD) can reduce the mode aliasing and end effect, and improve the efficiency of feature extraction. In the IEMD method, the bearing vibration signals are dec

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Li, Jing, Xinru Wang, and Zhenxiong Wu. "Rolling Bearing Fault Feature Extraction Method based on SSA-VMD and MOMEDA." Scientific Journal of Technology 6, no. 4 (2024): 17–24. http://dx.doi.org/10.54691/zb5xsn82.

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To address the challenge of extracting bearing fault features, this study proposes a new rolling bearing fault feature extraction method based on the Sparrow Search Algorithm (SSA) to optimize Variational Mode Decomposition (VMD) and Multipoint Optimal Minimum Entropy Deconvolution with Convolution Adjustment (MOMEDA). Firstly, SSA is employed to identify optimal parameters in VMD, followed by the utilization of correlation coefficients and kurtosis to filter relevant Intrinsic Mode Function (IMF) components. Subsequently, MOMEDA is applied to denoise the reconstructed signal, mitigating the i

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Xia, Tong-qiang, Ke Gao, Hong-yun Ren, Jiao-fei He, and Zi-long Li. "Network Design Mode of In-Seam Gas Extraction Parameters Using Mathematical Modelling—Take Tangan Colliery as an Example." Geofluids 2020 (November 10, 2020): 1–12. http://dx.doi.org/10.1155/2020/8886068.

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Gas extraction is a practical and effective way to guarantee mining-process safety and deliver greater environmental benefits through reducing greenhouse gas emissions and increase the supply of a valuable clean gas resource. It has been effective in recent years, however it still has a series of problems that need to be solved. Gas extraction design mainly relies on engineering experience rather than quantitative design, resulting in low input-output ratio of gas extraction because of unreasonable design. How to build a bridge of communication between engineers and scientists is the key to re

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Li, Fei, and Hong Yu. "An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models." Journal of the American Medical Informatics Association 26, no. 7 (2019): 646–54. http://dx.doi.org/10.1093/jamia/ocz018.

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Abstract Objective We aim to evaluate the effectiveness of advanced deep learning models (eg, capsule network [CapNet], adversarial training [ADV]) for single-domain and multidomain relation extraction from electronic health record (EHR) notes. Materials and Methods We built multiple deep learning models with increased complexity, namely a multilayer perceptron (MLP) model and a CapNet model for single-domain relation extraction and fully shared (FS), shared-private (SP), and adversarial training (ADV) modes for multidomain relation extraction. Our models were evaluated in 2 ways: first, we co

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MHAMDI, FAROUK, JEAN-MICHEL POGGI, and MÉRIEM JAÏDANE. "TREND EXTRACTION FOR SEASONAL TIME SERIES USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION." Advances in Adaptive Data Analysis 03, no. 03 (2011): 363–83. http://dx.doi.org/10.1142/s1793536911000696.

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In this paper, we investigate eligibility of trend extraction through the empirical mode decomposition (EMD) and performance improvement of applying the ensemble EMD (EEMD) instead of the EMD for trend extraction from seasonal time series. The proposed method is an approach that can be applied on any time series with any time scales fluctuations. In order to evaluate our algorithm, experimental comparisons with three other trend extraction methods: EMD-energy-ratio approach, EEMD-energy-ratio approach, and the Hodrick–Prescott filter are conducted.

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Zhong, Xianyou, Tianyi Xia, and Quan Mei. "An effective centre frequency selection scheme based on variational mode extraction and its application to gear fault diagnosis." Insight - Non-Destructive Testing and Condition Monitoring 64, no. 3 (2022): 155–63. http://dx.doi.org/10.1784/insi.2022.64.3.155.

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The penalty factors and number of modes in variational mode decomposition (VMD) have to be set empirically. In addition, it is a challenge to select the most useful mode from the multiple mode components decomposed using this method. To solve these problems, an effective gear fault diagnosis method using variational mode extraction (VME) and envelope analysis is proposed. Due to the blindness in determining the centre frequency of the desired mode, this study proposes a method to select the centre frequency based on the maximum signal-to-noise index among the meshing frequency and its harmonic

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Mostafaei, Hasan, and Mahdi Ghamami. "State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives." Machines 13, no. 1 (2025): 39. https://doi.org/10.3390/machines13010039.

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This paper presents a comprehensive review of automated modal identification techniques, focusing on various established and emerging methods, particularly Stochastic Subspace Identification (SSI). Automated modal identification plays a crucial role in structural health monitoring (SHM) by extracting key modal parameters such as natural frequencies, damping ratios, and mode shapes from vibration data. To address the limitations of traditional manual methods, several approaches have been developed to automate this process. Among these, SSI stands out as one of the most effective time-domain met

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Yang, Xi, Jiang Bian, William R. Hogan, and Yonghui Wu. "Clinical concept extraction using transformers." Journal of the American Medical Informatics Association 27, no. 12 (2020): 1935–42. http://dx.doi.org/10.1093/jamia/ocaa189.

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Abstract Objective The goal of this study is to explore transformer-based models (eg, Bidirectional Encoder Representations from Transformers [BERT]) for clinical concept extraction and develop an open-source package with pretrained clinical models to facilitate concept extraction and other downstream natural language processing (NLP) tasks in the medical domain. Methods We systematically explored 4 widely used transformer-based architectures, including BERT, RoBERTa, ALBERT, and ELECTRA, for extracting various types of clinical concepts using 3 public datasets from the 2010 and 2012 i2b2 chal

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