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Artykuły w czasopismach na temat „Time Estimation Method”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

XU, PENGCHENG, W. K. LI, and A. W. JAYAWARDENA. "NOISE LEVEL ESTIMATION FOR A CHAOTIC TIME SERIES." International Journal of Bifurcation and Chaos 22, no. 03 (2012): 1250052. http://dx.doi.org/10.1142/s0218127412500526.

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In this study, the correlation sum and the correlation integral for chaotic time series using the Supremum norm and the Euclidean norm are discussed. The correlation integrals are then used to develop governing equations for the correlation sum, noise level and correlation dimension in which the correlation dimension and the noise level are linearly dependent on each other. Some linear estimation methods for the noise level are then introduced by using these equations. The estimation methods are applied to four chaotic time series (two artificial and two real-world). By comparing the performan

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Ponomarenko, Vladimir, Elena Lapsheva, and Mikhail Prokhorov. "Estimation of delay times from time series of ring self-oscillatory time-delay systems." Information and Control Systems, no. 6 (December 27, 2022): 53–61. http://dx.doi.org/10.31799/1684-8853-2022-6-53-61.

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Introduction: The problem of delay time estimation in ring self-oscillatory time-delay systems arises in various fields of science and is of great importance in the study of real systems generating chaotic time series. Purpose: To conduct a comparative analysis of the operation of methods for the reconstruction of time-delay systems from chaotic time series in the absence and presence of additive noise. Methods: Methods for estimating the delay time according to the statistics of extrema, using the autocorrelation function and the method of order time asymmetry are used. Based on the latter me

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Hosoda, Shion, Tsukasa Fukunaga, and Michiaki Hamada. "Umibato: estimation of time-varying microbial interaction using continuous-time regression hidden Markov model." Bioinformatics 37, Supplement_1 (2021): i16—i24. http://dx.doi.org/10.1093/bioinformatics/btab287.

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Abstract Motivation Accumulating evidence has highlighted the importance of microbial interaction networks. Methods have been developed for estimating microbial interaction networks, of which the generalized Lotka–Volterra equation (gLVE)-based method can estimate a directed interaction network. The previous gLVE-based method for estimating microbial interaction networks did not consider time-varying interactions. Results In this study, we developed unsupervised learning-based microbial interaction inference method using Bayesian estimation (Umibato), a method for estimating time-varying micro

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Camargo-Trigueros, Eugenio, Nancy Visairo-Cruz, Ciro-Alberto Núñez-Gutiérrez, and Juan Segundo-Ramírez. "Partial Discharge Method for State-of-Health Estimation Validated by Real-Time Simulation." Processes 12, no. 11 (2024): 2389. http://dx.doi.org/10.3390/pr12112389.

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Accurate estimation of the state of health (SOH) of batteries for automotive applications, particularly in electric vehicle battery management systems (EV-BMS), remains a critical study area to ensure battery system availability. This paper proposes a comprehensive SOH estimation method that transcends traditional approaches based on estimating the available capacity using the integral of the battery current or estimating the increase in internal resistance. The SOH estimator employs a partial discharge method (PDM) and a linear state-of-charge (SOC) observer based on an equivalent electrical

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Arahal, Manuel R., Alfredo Pérez Vega-Leal, Manuel G. Satué, and Sergio Esteban. "Assessing SOC Estimations via Reverse-Time Kalman for Small Unmanned Aircraft." Energies 17, no. 20 (2024): 5161. http://dx.doi.org/10.3390/en17205161.

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This paper presents a method to validate state of charge (SOC) estimations in batteries for their use in remotely manned aerial vehicles (UAVs). The SOC estimation must provide the mission control with a measure of the available range of the aircraft, which is critical for extended missions such as search and rescue operations. However, the uncertainty about the initial state and depth of discharge during the mission makes the estimation challenging. In order to assess the estimation provided to mission control, an a posteriori re-estimation is performed. This allows for the assessment of esti

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Fan, Xiao Bin, and Pan Deng. "Study of Vehicle Sideslip Angle Real-Time Estimation Method." Advanced Materials Research 846-847 (November 2013): 26–29. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.26.

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In the vehicle stability control and other active safety systems, vehicle sideslip angle real-time estimation is necessary. However, the direct measurement of sideslip angle is more difficult or too costly, so it is often used in estimating methods. The vehicle sideslip angle of closed-loop Luenberger observer and Kalman observer were constructed based on two degrees of freedom bicycle model, as well as the direct integration method for large sideslip angle conditions. The comparative study showed that Kalman filtering estimation method and Luenberger estimation methods have better estimation

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Ding, Feilong, Cheng Chi, Yu Li, and Haining Huang. "Variational Bayesian Inference Time Delay Estimation for Passive Sonars." Journal of Marine Science and Engineering 11, no. 1 (2023): 194. http://dx.doi.org/10.3390/jmse11010194.

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In passive sonars, distance and depth estimation of underwater targets is often limited by the accuracy of time delay estimations. The estimation accuracy of the existing methods of time delay estimation is limited by the uniform discrete grid (signal sampling rate). When a true time delay is out of the grid, the estimation accuracy deteriorates due to the mismatch between the real-time delay and the discrete grid. This paper proposes a new method for time delay estimation, which realizes the time delay estimation under the framework of variational Bayesian inference. The proposed method is gr

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Kneip, Alois, Robin C. Sickles, and Wonho Song. "A NEW PANEL DATA TREATMENT FOR HETEROGENEITY IN TIME TRENDS." Econometric Theory 28, no. 3 (2012): 590–628. http://dx.doi.org/10.1017/s026646661100034x.

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This paper introduces a new estimation method for arbitrary temporal heterogeneity in panel data models. The paper provides a semiparametric method for estimating general patterns of cross-sectional specific time trends. The methods proposed in the paper are related to principal component analysis and estimate the time-varying trend effects using a small number of common functions calculated from the data. An important application for the new estimator is in the estimation of time-varying technical efficiency considered in the stochastic frontier literature. Finite sample performance of the es

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Pilo de la Fuente, Eduardo, Jaime Gros, María Antonia Simón Rodríguez, Ana-Isabel Velasco, and Carmen Iniesta. "Novel Real-Time Acoustic Power Estimation for Dynamic Thermoacoustic Control." Applied Sciences 15, no. 5 (2025): 2838. https://doi.org/10.3390/app15052838.

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This paper presents a new procedure for the real-time processing and analysis of data from thermoacoustic systems. The approach focuses on continuously acquiring and adjusting measurements of acoustic wave pressure, enabling the instantaneous estimation of acoustic power. This is crucial for real-time control and decision-making, especially in applications that require rapid power estimation, such as the control loop implementation in thermoacoustic engines, where conditions are constantly changing and dynamic adaptation is essential. Two methods for estimating the power delivered to the load

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10

Khalid, Muhammad, Abid Muhammad Khan, Muhammad Rauf, Muhammad Taha Jilani, and Sheraz Afzal. "FPGA-Based Time-Domain Channel Estimation in Gaussian Mixture Model." Mathematical Problems in Engineering 2021 (May 3, 2021): 1–12. http://dx.doi.org/10.1155/2021/5596301.

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The performance of time-domain channel estimation deteriorates due to the presence of Gaussian mixture model (GMM) noise, which results in high mean squared error (MSE) as a challenging issue. The performance of the estimator further decreases when the complexity of the estimator is high due to the high convergence rate. In this paper, an optimized channel estimation method is proposed with low complexity and high accuracy in the GMM environment. In this channel estimation, an improved Gauss-Seidel iterative method is utilized with a minimum number of iterations. The convergence rate of the Ga

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11

BÁNYÁSZ, Cs, and L. KEVTCZKY. "Recursive time delay estimation method." International Journal of Systems Science 25, no. 11 (1994): 1857–65. http://dx.doi.org/10.1080/00207729408949316.

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Lim, Jun-seok. "An Adaptive Time Delay Estimation Method Based on Canonical Correlation Analysis." JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA 32, no. 6 (2013): 548. http://dx.doi.org/10.7776/ask.2013.32.6.548.

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Chen, Hao, and Jun Hai Guo. "Radar Echo Parameter Estimation Using Sparse Time-Frequency Analysis Method." Applied Mechanics and Materials 543-547 (March 2014): 2229–33. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2229.

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The echoes of pulse radar from maneuvering targets are amplitude modulation and frequency modulation (AM-FM) signal. At present, the methods of estimating parameters of AM-FM signal are time-frequency analysis method, empirical mode decomposition and empirical wavelet transform based adaptive data analysis methods. This paper takes the idea of intrinsic mode function in guessing the initial phase, and applies the newly developed sparse time-frequency analysis method in AM-FM signal parameter estimation. Simulation results show that the estimating performance of this method in AM-FM signal is g

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14

Sándor, Apáthy M. "Personalised Hiking Time Estimation." Pure Mathematics and Applications 27, no. 2 (2018): 35–42. http://dx.doi.org/10.1515/puma-2015-0017.

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Abstract There are numerous attempts to estimate hiking time since the age of the ancient Roman Empire, the new digital era calls for more precise and exact solutions to be implemented in mobile applications. The importance of the topic lies in the fact that route planning algorithms and shortest path problems apply time estimations as cost functions. Our intention is to design a hiking time estimation method that accounts for terrain circumstances as well as personal factors, while the level of accuracy and the simplicity of the algorithm should enable the solution to be utilised in the pract

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15

Yücalar, Fatih, Deniz Kilinc, Emin Borandag, and Akin Ozcift. "Regression Analysis Based Software Effort Estimation Method." International Journal of Software Engineering and Knowledge Engineering 26, no. 05 (2016): 807–26. http://dx.doi.org/10.1142/s0218194016500261.

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Estimating the development effort of a software project in the early stages of the software life cycle is a significant task. Accurate estimates help project managers to overcome the problems regarding budget and time overruns. This paper proposes a new multiple linear regression analysis based effort estimation method, which has brought a different perspective to the software effort estimation methods and increased the success of software effort estimation processes. The proposed method is compared with standard Use Case Point (UCP) method, which is a well-known method in this area, and simpl

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16

Ezrati-Vinacour, Ruth, and Iris Levin. "Time Estimation by Adults Who Stutter." Journal of Speech, Language, and Hearing Research 44, no. 1 (2001): 144–55. http://dx.doi.org/10.1044/1092-4388(2001/013).

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In view of the fact that stuttering involves time pressure in communicative contexts, the aim of this investigation was to study the effect of stuttering on time estimation. Two matching groups of 47 adults each, one consisting of stutterers and the other of fluent speakers, estimated the duration of four verbal tasks—two that involved speaking and two that did not. Two methods of time estimation were used: production and reproduction. In production, participants were required to perform a task, terminating it when they felt that the specified interval had elapsed. In reproduction, participant

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17

Tsyporenko, V., and V. Tsyporenko. "A FAST-ACTING EFFICIENT METHOD OF EVALUATING RADIO SIGNAL FREQUENCY." Sciences of Europe, no. 137 (March 26, 2024): 120–24. https://doi.org/10.5281/zenodo.10874808.

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The article proposes a high-speed digital method for estimating the frequency of a radio signal based on the use of coordinated filtering with a dynamically time-controlled selectivity characteristic of the receiving channel. The main definitions and ratios of the mathematical model describing the process of forming the time-controlled frequency characteristic of the selectivity of the matched filtering channel, as well as the estimation of the value of the radio signal frequency on its basis in continuous, discrete and digital forms are given. The study of the accuracy of the proposed method

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18

Knight, John L., and Jun Yu. "EMPIRICAL CHARACTERISTIC FUNCTION IN TIME SERIES ESTIMATION." Econometric Theory 18, no. 3 (2002): 691–721. http://dx.doi.org/10.1017/s026646660218306x.

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Because the empirical characteristic function (ECF) is the Fourier transform of the empirical distribution function, it retains all the information in the sample but can overcome difficulties arising from the likelihood. This paper discusses an estimation method via the ECF for strictly stationary processes. Under some regularity conditions, the resulting estimators are shown to be consistent and asymptotically normal. The method is applied to estimate the stable autoregressive moving average (ARMA) models. For the general stable ARMA model for which the maximum likelihood approach is not feas

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19

Yuliatin, Umi, Dedi Rosadi, and Ezhari Asfa’ani. "ESTIMASI PARAMETER REGRESI LOGISTIK DATA PANEL EFEK TETAP UNTUK T=2." Math Educa Journal 6, no. 2 (2022): 179–89. https://doi.org/10.15548/mej.v6i2.4569.

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Logistic regression is a dichotomous classification method that uses several mathematical concepts in the estimating of variables parameters. In the estimation of parameter using the MLE (Maximum Likelihood Estimation) estimation method are obtained by Newton Raphson's numerical method. Unfortunately, this estimation doesn’t work in binary panel data with fixed effects for time T=2 because the present of fixed effec . Thus, Conditional MLE is used to provide consistent estimator of . This estimation shows by sample data N=1.151 obtained while the discussion shows the parameter values are at .

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20

Note, Yuya, Masahito Watanabe, Hiroaki Yoshimura, Takaharu Yaguchi, and Toshiaki Omori. "Sparse Estimation for Hamiltonian Mechanics." Mathematics 12, no. 7 (2024): 974. http://dx.doi.org/10.3390/math12070974.

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Estimating governing equations from observed time-series data is crucial for understanding dynamical systems. From the perspective of system comprehension, the demand for accurate estimation and interpretable results has been particularly emphasized. Herein, we propose a novel data-driven method for estimating the governing equations of dynamical systems based on machine learning with high accuracy and interpretability. The proposed method enhances the estimation accuracy for dynamical systems using sparse modeling by incorporating physical constraints derived from Hamiltonian mechanics. Unlik

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Gao, Chao, Guorong Zhao, Jianhua Lu, and Shuang Pan. "Decentralized state estimation for networked spatial-navigation systems with mixed time-delays and quantized complementary measurements: The moving horizon case." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 232, no. 11 (2017): 2160–77. http://dx.doi.org/10.1177/0954410017712277.

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In this paper, the navigational state estimation problem is investigated for a class of networked spatial-navigation systems with quantization effects, mixed time-delays, and network-based observations (i.e. complementary measurements and regional estimations). A decentralized moving horizon estimation approach, featuring complementary reorganization and recursive procedure, is proposed to tackle this problem. First, through the proposed reorganized scheme, a random delayed system with complementary observations is reconstructed into an equivalent delay-free one without dimensional augment. Se

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Dunovic, Ivana Burcar, Kristijan Robert Prebanic, and Pavao Durrigl. "Method for Base Estimation of Construction Time for Linear Projects in Front-end Project Phases." Organization, Technology and Management in Construction: an International Journal 12, no. 2 (2020): 2312–26. http://dx.doi.org/10.2478/otmcj-2018-0026.

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AbstractEven though horizontally linear projects have low complexity schedules, they are still not successful in meeting planned time. The deadlines are mostly based on estimations done in front-end project development when limited data are available. Early time estimation models in literature rely on few variables and, almost in all cases, one of them is the estimated cost. Early cost estimations can significantly deviate from actual costs and thus lead to unreliable time estimation. Time estimation models based on neural network and other alternative methods require databases and software, w

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Liu, Fu Gang, and Ming Diao. "A Novel DOA Estimation Method for Wideband Signals." Advanced Materials Research 403-408 (November 2011): 2861–65. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2861.

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For direction of arrival (DOA) estimation of wideband signals, the traditional algorithms’ estimating accuracy and complexity were mainly affected by pre-estimation of DOA. By forming an angle set which elements were arithmetic progressions in the range of possible arriving angles, the algorithm used the new angle vector to replace the preliminary estimation of arriving angles. It can avoid the impact of pre-estimation bias on performance of DOA estimation and greatly reduce the amount of computation and the consumed time for DOA estimation to favor the real-time application of wideband DOA es

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Liu, Xiufang, Dianliang Deng, and Dehui Wang. "Estimating the quantile medical cost under time-dependent covariates and right censored time-to-event variable based on a state process." Statistical Methods in Medical Research 29, no. 8 (2019): 2041–62. http://dx.doi.org/10.1177/0962280219882968.

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Estimating the medical costs from disease diagnosis to a terminal event is of immense interest to researchers. However, most of existing literature on such research focused on the estimation of cumulative mean function (CMF) for history process. In this paper, the combined scheme of both inverse probability of censoring weighting (IPCW) technique and longitudinal quantile regression model is used to develop a novel procedure to the estimation of cumulative quantile function (CQF) based on history process with time-dependent covariates and right censored time-to-event variable. The consistency

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Li, Xue Mei. "A Novel Scheme for Time Delay Estimation in the Fractional Fourier Transform Domain." Applied Mechanics and Materials 385-386 (August 2013): 1425–28. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1425.

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A time delay estimator based on the fractional bispectrum is proposed; and it is suitable for the chirp signal. The proposed time delay estimation technique can outperform the conventional time delay estimation methods associated with the bispectrum in the Fourier domain under the correlated Gaussian noises at lower SNR. Simulation results demonstrate the validity of this estimation method.

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Guerrier, Stephane, Roberto Molinari, and Maria-Pia Victoria-Feser. "Estimation of Time Series Models via Robust Wavelet Variance." Austrian Journal of Statistics 43, no. 4 (2014): 267–77. http://dx.doi.org/10.17713/ajs.v43i4.45.

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A robust approach to the estimation of time series models is proposed. Taking froma new estimation method called the Generalized Method of Wavelet Moments (GMWM)which is an indirect method based on the Wavelet Variance (WV), we replace the classicalestimator of the WV with a recently proposed robust M-estimator to obtain a robustversion of the GMWM. The simulation results show that the proposed approach can beconsidered as a valid robust approach to the estimation of time series and state-spacemodels.

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Pang, Yuxin, Dehui Wang, and Mark Goh. "A Two-Step Estimation Method for a Time-Varying INAR Model." Axioms 13, no. 1 (2023): 19. http://dx.doi.org/10.3390/axioms13010019.

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This paper proposes a new time-varying integer-valued autoregressive (TV-INAR) model with a state vector following a logistic regression structure. Since the autoregressive coefficient in the model is time-dependent, the Kalman-smoothed method is applicable. Some statistical properties of the model are established. To estimate the parameters of the model, a two-step estimation method is proposed. In the first step, the Kalman-smoothed estimation method, which is suitable for handling time-dependent systems and nonstationary stochastic processes, is utilized to estimate the time-varying paramet

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Azimi, Fatemeh, and Jinha Jung. "Automated Crop Residue Estimation via Unsupervised Techniques Using High-Resolution UAS RGB Imagery." Remote Sensing 16, no. 7 (2024): 1135. http://dx.doi.org/10.3390/rs16071135.

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Crop Residue Cover (CRC) is crucial for enhancing soil quality and mitigating erosion in agricultural fields. Accurately estimating CRC in near real-time presents challenges due to the limitations of traditional and remote sensing methods. This study addresses the challenge of accurately estimating CRC using unsupervised algorithms on high-resolution Unmanned Aerial System (UAS) imagery. We employ two methods to perform CRC estimation: (1) K-means unsupervised algorithm and (2) Principal Component Analysis (PCA) along with the Otsu thresholding technique. The advantages of these methods lie in

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Li, Yan, Yan Zhao Ren, Wan Lin Gao, Sha Tao, Jing Dun Jia, and Xin Liang Liu. "Analysis of Influencing Factors on Winter Wheat Yield Estimations Based on a Multisource Remote Sensing Data Fusion." Applied Engineering in Agriculture 37, no. 5 (2021): 991–1003. http://dx.doi.org/10.13031/aea.14398.

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HighlightsThe potential of fusing GF-1 WFV and MODIS data by the ESTARFM algorithm was demonstrated.A better time window selection method for estimating yields was provided.A better vegetation index suitable for yield estimation based on spatiotemporally fused data was identified.The effect of the spatial resolution of remote sensing data on yield estimations was visualized.Abstract. The accurate estimation of crop yields is very important for crop management and food security. Although many methods have been developed based on single remote sensing data sources, advances are still needed to e

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DUNNE, ADRIAN, and DAVID H. WILLIAMS. "Mean residence time: an invalid estimation method." Journal of Pharmacy and Pharmacology 42, no. 8 (1990): 528. http://dx.doi.org/10.1111/j.2042-7158.1990.tb07051.x.

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Drapella, Antoni. "An improved failure-free time estimation method." Quality and Reliability Engineering International 15, no. 3 (1999): 235–38. http://dx.doi.org/10.1002/(sici)1099-1638(199905/06)15:3<235::aid-qre212>3.0.co;2-s.

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Shulga, T. E., and D. E. Khramov. "Software System Architecture for Estimating Software Development Time." Programmnaya Ingeneria 15, no. 9 (2024): 476–84. http://dx.doi.org/10.17587/prin.15.476-484.

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The article is devoted to the issues of estimating the duration of software development, the solution of which can significantly improve the efficiency of software projects. The relevance of the topic is conditioned by the rapid development of software development methodologies, on which the existing algorithms of such estimation depend, and, as a consequence, by the rapid obsolescence of approaches to solving this problem. A systematic analysis of the main algorithms for estimating software development duration is carried out. The classification of such algorithms is presented. The algorithm

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Kim, Hyungjoo, and Lanhang Ye. "Bayesian Mixture Model to Estimate Freeway Travel Time under Low-Frequency Probe Data." Applied Sciences 12, no. 13 (2022): 6483. http://dx.doi.org/10.3390/app12136483.

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This study develops a novel estimation method under low-frequency probe data using the Bayesian approach. Given the challenges in estimating travel time under low-frequency probe data and prior distribution of the parameters in a traditional Bayesian approach, the proposed algorithm adopts a historical data-based data-driven method according to the characteristics of travel time regularity. Due to the variability of travel times during peak periods, this paper adopts a mixture distribution of travel times in the Bayesian approach rather than traditional single distribution. The Gibbs sampling

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Chang, Gang-Len, and Xianding Tao. "Estimation of Time-Dependent Turning Fractions at Signalized Intersections." Transportation Research Record: Journal of the Transportation Research Board 1644, no. 1 (1998): 142–49. http://dx.doi.org/10.3141/1644-15.

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An effective method for estimating time-varying turning fractions at signalized intersections is described. With the inclusion of approximate intersection delay, the proposed model can account for the impacts of signal setting on the dynamic distribution of intersection flows. To improve the estimation accuracy, the use of preestimated turning fractions from a relatively longer time interval has been proposed to serve as additional constraints for the same estimation but over a short time interval. The results of extensive simulation experiments indicated that the proposed method can yield suf

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Yang, Zibin, Xiang Liu, and Qiu Xia. "Cascaded Vehicle State Estimation Method of 4WIDEVs Considering System Delay and Noise." World Electric Vehicle Journal 15, no. 10 (2024): 454. http://dx.doi.org/10.3390/wevj15100454.

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Considering the negative effects of time delay and noise on vehicle state estimation, a cascaded estimation means for the vehicle sideslip angle is proposed utilizing the ODUKF algorithm. To achieve strong-correlation decoupling between state variables and model interference of the EDWM, an augmented EDWM was constructed by introducing the tire relaxation length dynamic equation, which enables the precise model relationship between the longitudinal and transverse tire force relaxation length to be constructed while also achieving the decoupling of the system state from the unknown input. To ac

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Kekalainen, Jorma. "A discrete time domain approach on time delay estimation." ACTA IMEKO 8, no. 1 (2019): 77. http://dx.doi.org/10.21014/acta_imeko.v8i1.600.

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A time delay estimation method based on the discrete time domain approach is introduced here. In this dual-channel time delay estimation model, the criterion function compares the time differences of time sequences between channels, not the magnitude values of time functions as in the conventional cross-correlation method. An estimation task is formulated as an extreme value problem in discrete index space. Using the index delay giving extreme value to the criterion function, it is possible to find the best estimate for time delay distribution in the meaning of that criterion. Using this metho

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Zhao, Yanfeng, Jihong Shen, and Dongyan Chen. "Design of Nonfragile State Estimator for Discrete-Time Genetic Regulatory Networks Subject to Randomly Occurring Uncertainties and Time-Varying Delays." Complexity 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/4573039.

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We deal with the design problem of nonfragile state estimator for discrete-time genetic regulatory networks (GRNs) with time-varying delays and randomly occurring uncertainties. In particular, the norm-bounded uncertainties enter into the GRNs in random ways in order to reflect the characteristic of the modelling errors, and the so-called randomly occurring uncertainties are characterized by certain mutually independent random variables obeying the Bernoulli distribution. The focus of the paper is on developing a new nonfragile state estimation method to estimate the concentrations of the mRNA

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Guo, Ying, and Cai Yun Meng. "Adaptive Time Delay Estimation Based on Robust Cyclic Correlation Estimator." Applied Mechanics and Materials 229-231 (November 2012): 1919–22. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1919.

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Based on the proposed efficient cyclic correlation estimator by exploiting normalized infinite norm, this paper develops a robust adaptive time delay estimation method which provides additional robustness against heavy-tailed noise and when the noise statistics are not fully known. Simulations demonstrate the reliable and robust performance of the proposed cyclic correlation estimator and its corresponding time delay estimation algorithm.

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Wodtke, Geoffrey T. "Regression-based Adjustment for Time-varying Confounders." Sociological Methods & Research 49, no. 4 (2018): 906–46. http://dx.doi.org/10.1177/0049124118769087.

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Social scientists are often interested in estimating the marginal effects of a time-varying treatment on an end-of-study continuous outcome. With observational data, estimating these effects is complicated by the presence of time-varying confounders affected by prior treatments, which may lead to bias in conventional regression and matching estimators. In this situation, inverse-probability-of-treatment-weighted (IPTW) estimation of a marginal structural model remains unbiased if treatment assignment is sequentially ignorable and the conditional probability of treatment is correctly modeled, b

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Xu, Mengyu, Xiaohui Chen, and Wei Biao Wu. "Estimation of Dynamic Networks for High-Dimensional Nonstationary Time Series." Entropy 22, no. 1 (2019): 55. http://dx.doi.org/10.3390/e22010055.

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This paper is concerned with the estimation of time-varying networks for high-dimensional nonstationary time series. Two types of dynamic behaviors are considered: structural breaks (i.e., abrupt change points) and smooth changes. To simultaneously handle these two types of time-varying features, a two-step approach is proposed: multiple change point locations are first identified on the basis of comparing the difference between the localized averages on sample covariance matrices, and then graph supports are recovered on the basis of a kernelized time-varying constrained L 1 -minimization for

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Wang, Guodong, Guoxing Bai, Yu Meng, Li Liu, Qing Gu, and Zhiping Ma. "A Hierarchical Estimation Method for Road Friction Coefficient Combining Single-Step Moving Horizon Estimation and Inverse Tire Model." Electronics 12, no. 3 (2023): 525. http://dx.doi.org/10.3390/electronics12030525.

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To improve the real-time performance of the estimation method of road friction coefficient (RFC) based on moving horizon estimation (MHE), a hierarchical estimation method for RFC combining single-step MHE (S-MHE) and inverse tire model (ITM) based on lateral vehicle dynamics is proposed in this study. Firstly, a hierarchical estimation framework is designed to decouple vehicle and tire systems. Secondly, the S-MHE estimator is designed based on the nonlinear vehicle model to estimate the lateral tire force. Thirdly, the ITM is deduced based on the Pacejka model, and the estimator for the RFC

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Liang, You, A. Thavaneswaran, and B. Abraham. "Recent Developments in Recursive Estimation for Time Series Models." International Journal of Statistics and Probability 5, no. 2 (2016): 59. http://dx.doi.org/10.5539/ijsp.v5n2p59.

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Recently there has been a growing interest in joint estimation of the location and scale parameters using combined estimation functions. Combined estimating functions had been studied in Liang et al. (2011) for models with finite variance errors and in Thavaneswaran et al. (2013) for models with infinite variance<br />stable errors. In this paper, first a theorem on recursive estimation based on estimating functions is extended to multi-parameter setup and it is shown that the unified approach can be used to estimate the location parameter recursively for models with finite variance/infi

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Horikawa, Tomonari, Munenori Takahashi, Masaki Endo, Shigeyoshi Ohno, Masaharu Hirota, and Hiroshi Ishikawa. "Estimating the Best Time to View Cherry Blossoms Using Time-Series Forecasting Method." Machine Learning and Knowledge Extraction 4, no. 2 (2022): 418–31. http://dx.doi.org/10.3390/make4020018.

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In recent years, tourist information collection using the internet has become common. Tourists are increasingly using internet resources to obtain tourist information. Social network service (SNS) users share tourist information of various kinds. Twitter, one SNS, has been used for many studies. We are pursuing research supporting a method using Twitter to help tourists obtain information: estimates of the best time to view cherry blossoms. Earlier studies have proposed a low-cost moving average method using geotagged tweets related to location information. Geotagged tweets are helpful as soci

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Liu, Shiming, Sihai Li, Jiangtao Zheng, Qiangwen Fu, and Yanhua Yuan. "C/N0 Estimator Based on the Adaptive Strong Tracking Kalman Filter for GNSS Vector Receivers." Sensors 20, no. 3 (2020): 739. http://dx.doi.org/10.3390/s20030739.

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The carrier-to-noise ratio (C/N0) is an important indicator of the signal quality of global navigation satellite system receivers. In a vector receiver, estimating C/N0 using a signal amplitude Kalman filter is a typical method. However, the classical Kalman filter (CKF) has a significant estimation delay if the signal power levels change suddenly. In a weak signal environment, it is difficult to estimate the measurement noise for CKF correctly. This article proposes the use of the adaptive strong tracking Kalman filter (ASTKF) to estimate C/N0. The estimator was evaluated via simulation exper

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ERKOL, Zerrin. "Estimation of the Death Time." European Journal of Therapeutics 5, no. 1 (1994): 112–22. http://dx.doi.org/10.58600/eurjther.1994-5-1-1417-arch.

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Estimation of the death time is one of the most important problem for forensic medicine. Meanwhile there is not any absolute method to estimate it yet. In estimation of the death time physical and chemical postmortem changes should be evaluated together. In this paper, the methods that are used to estimate of death time, according to the case characteristics have been reviewed.

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Shiozawa, Yuuki, Shunsuke Tsukuda, and Hiroshi Mouri. "Proposal of the Tire Longitudinal Characteristics Real-Time Estimation Method." Journal of Robotics and Mechatronics 30, no. 5 (2018): 811–18. http://dx.doi.org/10.20965/jrm.2018.p0811.

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For vehicle dynamics control and Autonomous Driving (AD) system, it is important to know the friction coefficient μ of the road surface accurately. It is because the lateral and the longitudinal force characteristics of the tire depend on the road surface condition largely. However, currently, it is difficult to detect tire performance degradation before the deterioration of vehicle dynamics in real time because tire force estimation is usually conducted by comparing the observed vehicle motion with the onboard reference vehicle-model motion. Such conventional estimators do not perform well if

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Korotina, Marina, Stanislav Aranovskiy, Rosane Ushirobira, Denis Efimov, and Jian Wang. "Fixed-time parameter estimation via the discrete-time DREM method." IFAC-PapersOnLine 56, no. 2 (2023): 4013–18. http://dx.doi.org/10.1016/j.ifacol.2023.10.1382.

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Thackaberry, Christine, and Roy Rada. "Estimation Metrics for Courseware Maintenance Effort." JUCS - Journal of Universal Computer Science 4, no. (3) (1998): 308–25. https://doi.org/10.3217/jucs-004-03-0308.

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Software engineering methods and metrics to estimate development time for the development and maintenance of computer-based training (CBT) differ from methods and metrics used to develop large information systems. The estimation techniques for large information systems employ Lines-Of-Code and Feature/Function points to calculate project effort in staff-months [Boehm 1981], techniques that are difficult to apply to CBT effort estimation. For the development of computer-based training systems, Development to Delivery Time Ratios have been the usual estimation metric, but these also have limitat

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Liu, Qing, Shuang Wang Han, and Xiao Shu Ma. "Research of Time Delay Estimation Based on Higher Order Statistics." Applied Mechanics and Materials 530-531 (February 2014): 550–53. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.550.

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The time delay estimation (TDE) is one of the most important techniques of characterization signal parameter. Delay parameter estimation is active in the field of signal processing. In this paper, On the basis of the basic theory method of time delay, the correlated time delay estimation, mutual-cumulants estimation and bispectrum estimation are analysed and discussed. Theoretical analysis and experimental results show that three methods is effectively used in time delay test, but higher order statistics (HOS) method can achieve the best effect. The HOS estimation method has many advantages, s

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Alves, Denis Keuton, Ricardo L. A. Ribeiro, Flavio Bezerra Costa, and Thiago Oliveira Alves Rocha. "Real-Time Wavelet-Based Grid Impedance Estimation Method." IEEE Transactions on Industrial Electronics 66, no. 10 (2019): 8263–65. http://dx.doi.org/10.1109/tie.2018.2870407.

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