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Artykuły w czasopismach na temat „Source strength estimation”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Klauson, Aleksander, and Mirko Mustonen. "Ship source strength estimation in shallow water." Journal of the Acoustical Society of America 142, no. 4 (2017): 2686. http://dx.doi.org/10.1121/1.5014794.

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Xu, Zongbo, T. Dylan Mikesell, Josefine Umlauft, and Gabriel Gribler. "Rayleigh-wave multicomponent crosscorrelation-based source strength distribution inversions. Part 2: a workflow for field seismic data." Geophysical Journal International 222, no. 3 (2020): 2084–101. http://dx.doi.org/10.1093/gji/ggaa284.

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SUMMARY Estimation of ambient seismic source distributions (e.g. location and strength) can aid studies of seismic source mechanisms and subsurface structure investigations. One can invert for the ambient seismic (noise) source distribution by applying full-waveform inversion (FWI) theory to seismic (noise) crosscorrelations. This estimation method is especially applicable for seismic recordings without obvious body-wave arrivals. Data pre-processing procedures are needed before the inversion, but some pre-processing procedures commonly used in ambient noise tomography can bias the ambient (no

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3

Madoliat, Reza, Nowrouz Mohammad Nouri, and Ali Rahrovi. "Equalization of acoustic source using multi-pole sources and source strength estimation using inverse method." Applied Acoustics 113 (December 2016): 210–20. http://dx.doi.org/10.1016/j.apacoust.2016.06.030.

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Ražnjević, Anja, Chiel van Heerwaarden, and Maarten Krol. "Evaluation of two common source estimation measurement strategies using large-eddy simulation of plume dispersion under neutral atmospheric conditions." Atmospheric Measurement Techniques 15, no. 11 (2022): 3611–28. http://dx.doi.org/10.5194/amt-15-3611-2022.

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Abstract. This study uses large-eddy simulations (LESs) to evaluate two widely used observational techniques that estimate point source emissions. We evaluate the use of car measurements perpendicular to the wind direction and the commonly used Other Test Method 33A (OTM 33A). The LES study simulates a plume from a point source released into a stationary, homogeneous, and neutral atmospheric surface layer over flat terrain. This choice is motivated by our ambition to validate the observational methods under controlled conditions where they are expected to perform well since the sources of unce

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5

HongLi, Cui. "Research Methods and Progress in Estimating the Source Strength of Atmospheric Unorganized Emissions." Engineering and Technology Journal 10, no. 05 (2025): 5133–40. https://doi.org/10.5281/zenodo.15480772.

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With the rapid development of industrialization and urbanization, the situation of air pollution has become increasingly severe. Unorganized emissions of volatile organic compounds (VOCs) have become a key challenge in air pollution control. Accurate estimation of their emission source strength is crucial for formulating scientific and effective pollution control strategies and improving air quality. This paper systematically reviews the current mainstream methods for estimating the source strength of unorganized emissions in the atmosphere, analyzes the principles, advantages, disadvantages,

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6

Mao, Shushuai, Jianlei Lang, Feng Hu, et al. "Identifying the Combined Impacts of Sensor Quantity and Location Distribution on Source Inversion Optimization." Atmosphere 16, no. 7 (2025): 850. https://doi.org/10.3390/atmos16070850.

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Source inversion optimization using sensor observations is a key method for rapidly and accurately identifying unknown source parameters (source strength and location) in abrupt hazardous gas leaks. Sensor number and location distribution both play important roles in source inversion; however, their combined impacts on source inversion optimization remain poorly understood. In our study, the optimization inversion method is established based on the Gaussian plume model and the generation algorithm. A research strategy combining random sampling and coefficient of variation methods was proposed

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7

Heaney, Kevin D., John Colosi, and William A. Kuperman. "Estimation of internal wave strength from mode space source localization." Journal of the Acoustical Society of America 100, no. 4 (1996): 2582. http://dx.doi.org/10.1121/1.417525.

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8

Nnonyelu, Chibuzo Joseph, Meng Jiang, Marianthi Adamopoulou, and Jan Lundgren. "Performance Analysis of Cardioid and Omnidirectional Microphones in Spherical Sector Arrays for Coherent Source Localization." Sensors 24, no. 23 (2024): 7572. http://dx.doi.org/10.3390/s24237572.

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Traditional spherical sector microphone arrays using omnidirectional microphones face limitations in modal strength and spatial resolution, especially within spherical sector configurations. This study aims to enhance array performance by developing a spherical sector array employing first-order cardioid microphones. A model based on spherical sector harmonic (SSH) functions is introduced to extend the benefits of spherical harmonics to sector arrays. Modal strength analysis demonstrates that cardioid microphones in open spherical sectors enhance nonzero-order strengths and eliminate the nulls

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9

Tanaka, K., S. Endo, K. Tateoka, et al. "Strength estimation of a moving 125Iodine source during implantation in brachytherapy: application to linked sources." Journal of Radiation Research 55, no. 6 (2014): 1146–52. http://dx.doi.org/10.1093/jrr/rru058.

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10

Thorpe, Alistair J., Roy M. Harrison, Paul G. Boulter, and Ian S. McCrae. "Estimation of particle resuspension source strength on a major London Road." Atmospheric Environment 41, no. 37 (2007): 8007–20. http://dx.doi.org/10.1016/j.atmosenv.2007.07.006.

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Al‐Dajani, Abdulfattah, and Tariq Alkhalifah. "Reflection moveout inversion for horizontal transverse isotropy: Accuracy, limitation, and acquisition." GEOPHYSICS 65, no. 1 (2000): 222–31. http://dx.doi.org/10.1190/1.1444713.

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Horizontal transverse isotropy (HTI) is the simplest azimuthally anisotropic model used to describe vertical fracturing in an isotropic matrix. Assuming that the subsurface is laterally homogeneous, and using the elliptical variation of P-wave NMO velocity with azimuth measured in at least three different source‐to‐receiver orientations, we can estimate three key parameters of HTI media: the vertical velocity, anisotropy, and the azimuth of the symmetry axis. Such parameter estimation is sensitive to the angular separation between the survey lines in 2-D acquisition or, equivalently, to source

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12

Liu, Lei, Jin-Song Chong, Xiao-Qing Wang, and Wen Hong. "Adaptive Source Location Estimation Based on Compressed Sensing in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 8, no. 1 (2012): 592471. http://dx.doi.org/10.1155/2012/592471.

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Source localization is an important problem in wireless sensor networks (WSNs). An exciting state-of-the-art algorithm for this problem is maximum likelihood (ML), which has sufficient spatial samples and consumes much energy. In this paper, an effective method based on compressed sensing (CS) is proposed for multiple source locations in received signal strength-wireless sensor networks (RSS-WSNs). This algorithm models unknown multiple source positions as a sparse vector by constructing redundant dictionaries. Thus, source parameters, such as source positions and energy, can be estimated by [

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13

Huang, Cheng-Hung, and Ya-Rou Zhong. "An inverse problem to estimate simultaneously the heat source strength for multiple integrated circuit chips on a printed circuit board." AIMS Mathematics 9, no. 4 (2024): 8848–67. http://dx.doi.org/10.3934/math.2024431.

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<abstract> <p>In this three-dimensional steady-state inverse heat transfer problem, we determine the magnitude of the spatially dependent volumetric heat source originating from multiple encapsulated chips mounted on a printed circuit board (PCB). Prior to the estimations, the functional form of the multiple heat sources is treated as unknown, leading to its classification as a function estimation challenge within the realm of inverse problems. The utilization of the conjugate gradient method (CGM) as an optimization tool is rooted in its distinct advantage of not requiring any a p

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14

Kim, Y., and P. A. Nelson. "Estimation of acoustic source strength within a cylindrical duct by inverse methods." Journal of Sound and Vibration 275, no. 1-2 (2004): 391–413. http://dx.doi.org/10.1016/j.jsv.2003.06.032.

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15

CUI, Zhenming, Tongyang SHI, Ming WU, and Jun YANG. "Neural-network-based sound source localization from unmanned aerial vehicles." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 9 (2024): 2544–52. http://dx.doi.org/10.3397/in_2024_3200.

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As a mobile platform, unmanned aerial vehicles (UAV) can carry optics and acoustics sensors recording visual and audio information from ground. Over the past decade, UAVs are widely used in different applications, e.g., search and rescue, pipe leakage detection, etc. Compared with visual information, audio information is challenging to capture from UAVs due to the strong ego-noise generated by the rotating motors, propellers on the UAV as well as the motion of the UAV, which result in a low signal to noise ratio (SNR) of the received acoustics signals. With the contaminated signals, the perfor

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16

Chrostowski, Andrzej, Rafał Demkowicz-Dobrzański, Marcin Jarzyna, and Konrad Banaszek. "On super-resolution imaging as a multiparameter estimation problem." International Journal of Quantum Information 15, no. 08 (2017): 1740005. http://dx.doi.org/10.1142/s0219749917400056.

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We consider the problem of characterizing the spatial extent of a composite light source using the super-resolution imaging technique based on mode demultiplexing when the centroid of the source is not known precisely. We show that the essential features of this problem can be mapped onto a simple qubit model for joint estimation of a phase shift and a dephasing strength.

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17

Famoriji, Oluwole John, and Thokozani Shongwe. "Subspace Pseudointensity Vectors Approach for DoA Estimation Using Spherical Antenna Array in the Presence of Unknown Mutual Coupling." Applied Sciences 12, no. 19 (2022): 10099. http://dx.doi.org/10.3390/app121910099.

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Spherical antenna array (SAA) exhibits the ability to receive electromagnetic (EM) waves with the same signal strength, regardless of the direction-of-arrival (DoA), angle-of-arrival, and polarization. Hence, estimating the DoA of EM signals that impinge on SAA in the presence of mutual coupling requires research consideration. In this paper, a subspace pseudointensity vectors technique is proposed for DoA estimation using SAA with unknown mutual coupling. DoA estimation using an intensity vector technique is appealing due to its computational efficiency, particularly for SAAs. Two intensity v

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18

Osores, Soledad, Juan Ruiz, Arnau Folch, and Estela Collini. "Volcanic ash forecast using ensemble-based data assimilation: an ensemble transform Kalman filter coupled with the FALL3D-7.2 model (ETKF–FALL3D version 1.0)." Geoscientific Model Development 13, no. 1 (2020): 1–22. http://dx.doi.org/10.5194/gmd-13-1-2020.

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Abstract. Quantitative volcanic ash cloud forecasts are prone to uncertainties coming from the source term quantification (e.g., the eruption strength or vertical distribution of the emitted particles), with consequent implications for an operational ash impact assessment. We present an ensemble-based data assimilation and forecast system for volcanic ash dispersal and deposition aimed at reducing uncertainties related to eruption source parameters. The FALL3D atmospheric dispersal model is coupled with the ensemble transform Kalman filter (ETKF) data assimilation technique by combining ash ma

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19

Kim, Yong-Hyun, HanShin Seol, Jeung-Hoon Lee, and HongSeok Jeong. "Localization and Source-strength Estimation of Tip Vortex Cavitation Noise Using Compressive Sensing." Transactions of the Korean Society for Noise and Vibration Engineering 30, no. 4 (2020): 329–39. http://dx.doi.org/10.5050/ksnve.2020.30.4.329.

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Neto, A. J. Silva, and M. N. Özişik. "Simultaneous Estimation of Location and Timewise-Varying Strength of a Plane Heat Source." Numerical Heat Transfer, Part A: Applications 24, no. 4 (1993): 467–77. http://dx.doi.org/10.1080/10407789308902635.

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21

Yin, Gang, Ping Li, Zhi Wei, Gang Liu, Zhenhua Yang, and Li Zhao. "Magnetic dipole localization and magnetic moment estimation method based on normalized source strength." Journal of Magnetism and Magnetic Materials 502 (May 2020): 166450. http://dx.doi.org/10.1016/j.jmmm.2020.166450.

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22

Su, Jian, and Antônio J. Silva Neto. "Two-dimensional inverse heat conduction problem of source strength estimation in cylindrical rods." Applied Mathematical Modelling 25, no. 10 (2001): 861–72. http://dx.doi.org/10.1016/s0307-904x(01)00018-x.

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23

Thornton, F. C., and N. J. Shurpali. "Estimation of the source strength of soil NOxin the Nashville, Tennessee, urban area." Journal of Geophysical Research: Atmospheres 101, no. D17 (1996): 22817–21. http://dx.doi.org/10.1029/96jd01834.

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24

Putra, Azma, Noor Fariza Saari, Hairul Bakri, and Roszaidi Ramlan. "Vibration Strength Estimation of a Structure-Borne Source: Case Study for a Reception Beam." Applied Mechanics and Materials 471 (December 2013): 69–73. http://dx.doi.org/10.4028/www.scientific.net/amm.471.69.

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This paper presents the estimation of vibration strength obtained from reception structure method. It describes a laboratory-based measurement procedure, which determines the strength of a vibration source in terms of its total squared free velocity. The source used in the experiment is a small electric fan motor. Here instead of using the usual flat rectangular plate, a thin stainless steel beam was used as the reception structure. The aim is to validate the data obtained from the reception method with that from the direct measurement. A good agreement is found between the two results, althou

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25

Hensen, A., B. Loubet, J. Mosquera, et al. "Estimation of NH<sub>3</sub> emissions from a naturally ventilated livestock farm using local-scale atmospheric dispersion modelling." Biogeosciences Discussions 6, no. 1 (2009): 825–62. http://dx.doi.org/10.5194/bgd-6-825-2009.

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Abstract. Agricultural livestock represents the main source of ammonia (NH3) in Europe. In recent years, reduction policies have been applied to reduce NH3 emissions. In order to estimate the impacts of these policies, robust estimates of the emissions from the main sources, i.e. livestock farms are needed. In this paper, the NH3 emissions were estimated from a naturally ventilated livestock farm in Braunschweig, Germany during a joint field experiment of the GRAMINAE European project. An inference method was used with a Gaussian-3-D plume model and a local-scale dispersion and deposition mode

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26

Tang, Shibo, Xiaotong Xue, Fei Li, Zhonglin Gu, Hongyuan Jia, and Xiaodong Cao. "Identification of Pollution Sources in Urban Wind Environments Using the Regularized Residual Method." Atmosphere 14, no. 12 (2023): 1786. http://dx.doi.org/10.3390/atmos14121786.

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The scale of cities is increasing with continuous urban development. Effective methods, such as the source term estimation (STE) method, must be established for identifying the sources of air pollution in cities to prevent economic losses and casualties caused by pollutant leakage. Herein, methods for optimizing sensor configuration and identifying pollution sources are discussed, and an STE method based on the regularized minimum residual method is proposed. Urban wind environments were simulated using a computational fluid dynamics (CFD) model, and the results were compared with experimental

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27

Greenberg, Moshe, Uri Kushnir, and Vladimir Frid. "Innovative Regression Model for Frequency-Dependent Acoustic Source Strength in the Aquatic Environment: Bridging Scientific Insight and Practical Applications." Sensors 25, no. 5 (2025): 1560. https://doi.org/10.3390/s25051560.

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This study addresses the challenge of predicting acoustic source strength in freshwater environments, focusing on frequencies between 100–400 kHz. Acoustic signal attenuation is inherently frequency-dependent and influenced by water properties as well as the total propagation path of the acoustic wave, complicating the accurate determination of source strength. To address this challenge, we developed a non-linear regression model for solving the inverse problem of attenuation correction in reflected signals from typical aquatic reflectors, addressing the current absence of robust correction to

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Hensen, A., B. Loubet, J. Mosquera, et al. "Estimation of NH<sub>3</sub> emissions from a naturally ventilated livestock farm using local-scale atmospheric dispersion modelling." Biogeosciences 6, no. 12 (2009): 2847–60. http://dx.doi.org/10.5194/bg-6-2847-2009.

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Abstract. Agricultural livestock represents the main source of ammonia (NH3) in Europe. In recent years, reduction policies have been applied to reduce NH3 emissions. In order to estimate the impacts of these policies, robust estimates of the emissions from the main sources, i.e. livestock farms are needed. In this paper, the NH3 emissions were estimated from a naturally ventilated livestock farm in Braunschweig, Germany during a joint field experiment of the GRAMINAE European project. An inference method was used with a Gaussian-3D plume model and with the Huang 3-D model. NH3 concentrations

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29

Lin, David T. W., and Ching-yu Yang. "The estimation of the strength of the heat source in the heat conduction problems." Applied Mathematical Modelling 31, no. 12 (2007): 2696–710. http://dx.doi.org/10.1016/j.apm.2006.10.022.

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30

Tanaka, Kenichi, Tsuyoshi Kajimoto, Takahiro Hayashi, et al. "Anin vitroverification of strength estimation for moving an 125I source during implantation in brachytherapy." Journal of Radiation Research 59, no. 4 (2018): 484–89. http://dx.doi.org/10.1093/jrr/rry021.

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31

Jeong, Hongseok, Jeung-Hoon Lee, Yong-Hyun Kim, and Hanshin Seol. "Estimation of the Noise Source Level of a Commercial Ship Using On-Board Pressure Sensors." Applied Sciences 11, no. 3 (2021): 1243. http://dx.doi.org/10.3390/app11031243.

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The dominant underwater noise source of a ship is known to be propeller cavitation. Recently, attempts have been made to quantify the source strength using on-board pressure sensors near the propeller, as this has advantages over conventional noise measurement. In this study, a beamforming method was used to estimate the source strength of a cavitating propeller. The method was validated against a model-scale measurement in a cavitation tunnel, which showed good agreement between the measured and estimated source levels. The method was also applied to a full-scale measurement, in which the sou

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32

Jang, Seungho, and Eunhye Jang. "Study on the Noise Source Modeling and the Source Strength Estimation of Mugungwha Trains Running on the Conventional Railway." Transactions of the Korean Society for Noise and Vibration Engineering 23, no. 11 (2013): 1020–26. http://dx.doi.org/10.5050/ksnve.2013.23.11.1020.

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Li, Jun, Kutluyil Dogancay, and Hatem Hmam. "Closed-Form Pseudolinear Estimators for DRSS-AOA Localization." Sensors 21, no. 21 (2021): 7159. http://dx.doi.org/10.3390/s21217159.

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This paper investigates the hybrid source localization problem using differential received signal strength (DRSS) and angle of arrival (AOA) measurements. The main advantage of hybrid measurements is to improve the localization accuracy with respect to a single sensor modality. For sufficiently short wavelengths, AOA sensors can be constructed with size, weight, power and cost (SWAP-C) requirements in mind, making the proposed hybrid DRSS-AOA sensing feasible at a low cost. Firstly the maximum likelihood estimation solution is derived, which is computationally expensive and likely to become un

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34

AL-Saleem, Aeshaa L., and Asma’a Y. Hammo. "Software Size Estimation: A survey." Technium: Romanian Journal of Applied Sciences and Technology 4, no. 9 (2022): 62–70. http://dx.doi.org/10.47577/technium.v4i9.7251.

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Software size prediction is a first step to compute information for software project development such as: project cost, effort, schedules, duration and so on. This paper presents the software prediction methods and the efforts of the researchers in this era. Methods such as Source line of Code, Model based estimation, function point and estimation from UML diagrams. For every method, the strength and weakness is presented. Also, it presents the evaluation criteria that is necessary for the researcher to evaluate the accuracy of the methods.This information will help the researcher in the futur

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35

Tennekes, Martijn, and Yvonne Gootzen. "Bayesian location estimation of mobile devices using a signal strength model." Journal of Spatial Information Science, no. 25 (December 20, 2022): 29–66. http://dx.doi.org/10.5311/josis.2022.25.166.

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Mobile network operator (MNO) data are a rich data source for various topics in official statistics, such as present population, mobility, migration, and tourism. Estimating the geographic location of mobile devices is an essential step for statistical inference. Most studies use Voronoi tessellation for this, which is based on the assumption that mobile devices are always connected to the nearest radio cell. We propose an alternative location estimation method following a Bayesian approach and using a physical model for the received signal strength. Our Bayesian framework allows for different

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36

Nesme, Nicolas, Rodolphe Marion, Olivier Lezeaux, Stéphanie Doz, Claude Camy-Peyret, and Pierre-Yves Foucher. "Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site." Remote Sensing 13, no. 24 (2021): 4992. http://dx.doi.org/10.3390/rs13244992.

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Methane (CH4) is one of the most contributing anthropogenic greenhouse gases (GHGs) in terms of global warming. Industry is one of the largest anthropogenic sources of methane, which are currently only roughly estimated. New satellite hyperspectral imagers, such as PRISMA, open up daily temporal monitoring of industrial methane sources at a spatial resolution of 30 m. Here, we developed the Characterization of Effluents Leakages in Industrial Environment (CELINE) code to inverse images of the Korpezhe industrial site. In this code, the in-Scene Background Radiance (ISBR) method was combined wi

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Wei, Yang, Yufei Teng, Xueyuan Liu, et al. "Diffusion Modeling of Carbon Dioxide Concentration from Stationary Sources with Improved Gaussian Plume Modeling." Energies 18, no. 11 (2025): 2827. https://doi.org/10.3390/en18112827.

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To achieve the precise quantification and real-time monitoring of CO2 emissions from stationary sources, this study developed a Gaussian plume model-based dispersion framework incorporating emission characteristics. Critical factors affecting CO2 dispersion were systematically analyzed, with model optimization conducted through plume rise height adjustments and reflection coefficient calibrations. MATLAB-based simulations on an industrial park case study demonstrated that wind speed, atmospheric stability, and effective release height constituted pivotal determinants for enhancing CO2 dispersi

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Jiang, Bo, Xiaoqin Liu, and Xing Wu. "Sound power estimation method based on dual arrays sound intensity scaling and sound pressure superposition." Noise Control Engineering Journal 71, no. 1 (2023): 24–33. http://dx.doi.org/10.3397/1/37713.

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The sound intensity scaling method can be used to calculate the source sound power from the array beamforming results. The distance between the sound source and the array and the environmental noise during the test process will affect the accuracy of the sound source intensity measurement. A sound power level solution method for sound intensity scaling suitable for complex environments is verified in this paper. The depth of the sound source is determined by dual arrays. The sound wave propagation and superposition characteristics are used to establish an optimized objective function, to optim

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TAKAHASHI, Masaaki, So KANEKO, Osamu KOIKE, Hidetada KANNO, Hiroki UMEDA, and Yasunaga IWASAKI. "Temporal Source Strength Estimation of Sweet Pepper for Crop Management and LED Supplementation Efficiency Improvement." Engineering in Agriculture, Environment and Food 13, no. 3 (2020): 73–80. http://dx.doi.org/10.37221/eaef.13.3_73.

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Parwani, Ajit K., Prabal Talukdar, and P. M. V. Subbarao. "Estimation of strength of source in a 2D participating media using the differential evolution algorithm." Journal of Physics: Conference Series 369 (June 11, 2012): 012016. http://dx.doi.org/10.1088/1742-6596/369/1/012016.

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Yao, Wenmin, Changdong Li, Hongbin Zhan, Jia-Qing Zhou, and Robert E. Criss. "Estimation of geological strength index through a Bayesian sequential updating approach integrating multi-source information." Tunnelling and Underground Space Technology 102 (August 2020): 103426. http://dx.doi.org/10.1016/j.tust.2020.103426.

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ZHAO, Lian-Feng, Wei-Min WANG, Juan LI, and Zhen-Xing YAO. "Yield Estimation of the 11 May 1998 Indian Nuclear Test Using Relative Static Source Strength." Chinese Journal of Geophysics 48, no. 5 (2005): 1164–69. http://dx.doi.org/10.1002/cjg2.760.

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NELSON, P. A., and S. H. YOON. "ESTIMATION OF ACOUSTIC SOURCE STRENGTH BY INVERSE METHODS: PART I, CONDITIONING OF THE INVERSE PROBLEM." Journal of Sound and Vibration 233, no. 4 (2000): 639–64. http://dx.doi.org/10.1006/jsvi.1999.2837.

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O’Brien, P., D. Corcoran, and D. Lowry. "An evolution strategy to estimate emission source distributions on a regional scale from atmospheric observations." Atmospheric Chemistry and Physics Discussions 3, no. 2 (2003): 1333–66. http://dx.doi.org/10.5194/acpd-3-1333-2003.

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Abstract. In this paper we present an Evolution Strategy (ES) approach towards the estimation of the location and strength of surface emissions of trace gases based on atmospheric concentration measurements and back-trajectory analyses. The details of the ES developed are outlined. The ES is tested using artificial emission maps at different grid resolutions and the results compared to those obtained on the same problems using Singular Value Decomposition (SVD). In almost all cases, the ES improves on SVD at equivalent resolutions. In addition, a number of insights, which the ES approach bring

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Vassiljev, A., and P. Stålnacke. "Statistical modelling of riverine nutrient sources and retention in the Lake Peipsi drainage basin." Water Science and Technology 51, no. 3-4 (2005): 309–17. http://dx.doi.org/10.2166/wst.2005.0605.

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Implementation of the Water Framework Directive calls for methodologies and tools to quantify nutrient losses from diffuse sources at a river basin district scale. Here, we examine the possibility of using a statistical model for source apportionment and retention of nutrients in a large transboundary drainage basin (44,000 km2). The model approach uses non-linear regression for simultaneous estimation of e.g. source strength, i.e. export coefficients to surface waters, for the different specified land-use or soil categories and retention coefficients for pollutants in a drainage basin. The mo

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Albert, Christopher G., and Katharina Rath. "Gaussian Process Regression for Data Fulfilling Linear Differential Equations with Localized Sources." Entropy 22, no. 2 (2020): 152. http://dx.doi.org/10.3390/e22020152.

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Specialized Gaussian process regression is presented for data that are known to fulfill a given linear differential equation with vanishing or localized sources. The method allows estimation of system parameters as well as strength and location of point sources. It is applicable to a wide range of data from measurement and simulation. The underlying principle is the well-known invariance of the Gaussian probability distribution under linear operators, in particular differentiation. In contrast to approaches with a generic covariance function/kernel, we restrict the Gaussian process to generate

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Ko, Yang-Hsiung, Jiu-Zhang Lu, Kai-Tai Lu, and Tsao-Fa Yeh. "Inverse Estimation Problem of Determining the Unknown Timewise-varying Strength of a Primer Rapid Heat Source." Procedia Engineering 79 (2014): 295–304. http://dx.doi.org/10.1016/j.proeng.2014.06.346.

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Qiu, Shili, Xiating Feng, Chuanqing Zhang, and Tianbing Xiang. "Estimation of rockburst wall-rock velocity invoked by slab flexure sources in deep tunnels." Canadian Geotechnical Journal 51, no. 5 (2014): 520–39. http://dx.doi.org/10.1139/cgj-2013-0337.

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For rock support in burst-prone ground, the wall-rock velocity adjacent to the surface of underground openings is a vital support design parameter, and depends on the seismic source mechanism inducing rockburst damage. In this study, to estimate the wall-rock velocity evoked only by rock slab buckling (an important rockburst source mechanism), a comprehensive velocity assessment method is proposed, using an excellent slab column buckling model with a small eccentricity, which relies on a novel compressive or tensile buckling failure criterion of rock slab. The true-triaxial loading–unloading t

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Pooja, Shah, Zaveri Tanish, Sharma Rajkumar, Das Anup, and Patel Darshan. "Empirical Analysis of Ship Detection and Dimension Estimation from RISAT-1 Compact Polarimetric Data." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 359–64. https://doi.org/10.35940/ijeat.B4222.029320.

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The detection of ship and estimation of its characteristics has its significance in tracking these sea vessels for surveillance. It also has its importance as an ancillary information for marine applications like oil spill detection and its source tracking. This paper is an aspiration towards exploring the strength of RISAT-1 data retrieved in circular transmit linear receive mode. We propose a method to select the detected ship and get the dimension estimation of the segmented ship for further decision making. The proposed method has been implemented in python and tested for various inputs. T

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Sarradj, Ennes. "Three-Dimensional Acoustic Source Mapping with Different Beamforming Steering Vector Formulations." Advances in Acoustics and Vibration 2012 (June 21, 2012): 1–12. http://dx.doi.org/10.1155/2012/292695.

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Acoustic source mapping techniques using acoustic sensor arrays and delay-and-sum beamforming techniques suffer from bad spatial resolution at low-aperture-based Helmholtz numbers. This is especially a problem for three-dimensional map grids, when the sensor array is not arranged around the region spanned by the grid but on only one side of it. Then, the spatial resolution of the result map in the direction pointing away from the array is much worse than in the other lateral directions. Consequently, deconvolution techniques need to be applied. Some of the most efficient deconvolution techniqu

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