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Journal articles on the topic 'Initial parameter'

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Published: 5 June 2025
Last updated: 24 June 2025

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1

A.T., Hovhannisyan, and Yenokyan K.R. "APPROACHES TO THE SELECTION OF INITIAL MAGNETIC PARAMETERS FOR THE CALCULATION OF A PERMANENT MAGNET AND EVALUATION OF CALCULATION WEBSITES." ИННОВАЦИОННЫЕ НАУЧНЫЕ ИССЛЕДОВАНИЯ 2023. 8-1(31) (September 30, 2023): 34–40. https://doi.org/10.5281/zenodo.8395597.

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This work presents the relationship between magnetic properties, and selection criteria in the process of calculation of permanent magnet parameters as well as the accuracy of information retrieval of technical data, the significance of output parameters in magnetic measurements, and the evaluation of online computational websites according to calculation accuracy. The data of investigations, analysis, and conclusions on the example of calculation of the magnetic field induction inside and outside the working points and magnetic field induction of cylindrical permanent magnet magnetized along the length.
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Jacquez, J. A., and T. Perry. "Parameter estimation: local identifiability of parameters." American Journal of Physiology-Endocrinology and Metabolism 258, no. 4 (1990): E727—E736. http://dx.doi.org/10.1152/ajpendo.1990.258.4.e727.

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For biological systems one often cannot set up experiments to measure all of the state variables. If only a subset of the state variables can be measured, it is possible that some of the system parameters cannot influence the measured state variables or that they do so in combinations that do not define the parameters' effects separately. Such parameters are unidentifiable and are in theory unestimable. Given a model of the system, linear or nonlinear, and initial estimates of the values of all parameters, we exhibit a simple theory and describe a program for checking the local identifiability of the parameters at the initial estimates for given experiments on the model. The program, IDENT, is available from the authors.
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Lahajnar, Sebastian, and Alenka Rožanec. "Initial Coin Offering (ICO) evaluation model." Investment Management and Financial Innovations 15, no. 4 (2018): 169–82. http://dx.doi.org/10.21511/imfi.15(4).2018.14.

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High-tech companies operating in the field of blockchain technology use the Initial Coin Offering (ICO) to raise start-up capital. It is a fairly new, non-standardized and poorly regulated way of collecting start-up funding that can bring high yields to investors in the short term, but investors also have to be ready to take on high risks. The purpose of this article is to define a decision model for the evaluation of ICO projects, which provides a systematic, transparent, methodological approach to making decisions on investing in them. For that purpose, the authors analyzed a number of factors, which directly or indirectly influence the successful implementation of ICO projects, and the researchers extracted the most important among them (model parameters). In order to build the decision model, used a qualitative method for the hierarchical multi-parameter evaluation of DEX, which using symbolic parameters and combining functions in the form of if-then rules ensures the most freely and flexible combining assessment parameters into a uniform model. In the article, the use of proposed decision model was tested in practice on multiple ICO processes. The article details the decision-making process in the case of CargoX, and also summarizes the results of the evaluation of ICOs Tokens.net, BitClave, Neuromation and WePower.
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Sikandar, Waseem, Umar Khan, Naveed Ahmed, and Syed Tauseef Mohyud-Din. "Variation of parameters method with an auxiliary parameter for initial value problems." Ain Shams Engineering Journal 9, no. 4 (2018): 1959–63. http://dx.doi.org/10.1016/j.asej.2016.09.014.

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Le Vine, David M., Saji Abraham, Cuneyt Utku, and Emmanuel P. Dinnat. "Aquarius Third Stokes Parameter Measurements: Initial Results." IEEE Geoscience and Remote Sensing Letters 10, no. 3 (2013): 520–24. http://dx.doi.org/10.1109/lgrs.2012.2211994.

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Yu, Lisan, and James J. O'Brien. "On the Initial Condition in Parameter Estimation." Journal of Physical Oceanography 22, no. 11 (1992): 1361–64. http://dx.doi.org/10.1175/1520-0485(1992)022<1361:oticip>2.0.co;2.

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Qiao, Liwen, Jia-Xin Peng, Baiqiang Zhu, Weiping Zhang, and Keye Zhang. "Optimal initial states for quantum parameter estimation based on Jaynes–Cummings model [Invited]." Chinese Optics Letters 21, no. 10 (2023): 102701. http://dx.doi.org/10.3788/col202321.102701.

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Bumrungkun, Prachya, Kosin Chamnongthai, and Wisarn Patchoo. "Initial Geometrical Templates with Parameter Sets for Active Contour on Skin Cancer Boundary Segmentation." Journal of Healthcare Engineering 2021 (August 3, 2021): 1–30. http://dx.doi.org/10.1155/2021/9528460.

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For active-contour-based surgery systems, the success of skin cancer boundary segmentation depends on the initialization point of the snake model, which is a task originally performed by skillful experts, and on the parameters set for the algorithms of active contour. This paper proposes initial geometrical templates and parameter sets for the active contour on skin cancer boundary segmentation. To establish initial geometrical templates and parameter sets for the active contour, first, template candidates, which are geometrically designed by users in advance, are simply calculated based on similarity with a skin cancer boundary, and the candidate with the least difference is selected as an initial template. Initially, all candidate templates are performed before the test with some selected skin cancer samples by randomly varying needed parameters to determine parameter sets for each template. The parameter set is therefore implicitly selected as the suitable set with the selected initial template. Experiments with 227 skin cancer samples were performed based on our proposed initial templates and parameter sets, and the results show 99.46% accuracy, 97.43% sensitivity, and 99.87% specificity approximately in which accuracy, sensitivity, and specificity were improved by 0.26%, 0.36%, and 0.26%, respectively, compared with the conventional method.
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Al-Bayati, Abbas, and Ban Mitras. "New Initial Parameter for the Constrained Optimization Method." AL-Rafidain Journal of Computer Sciences and Mathematics 3, no. 1 (2006): 61–68. http://dx.doi.org/10.33899/csmj.2006.164036.

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Prabawani, Bulan, and Sudharto Prawata Hadi. "Sustainability Indicator: An Initial Parameter for Convenience Product." Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan 19, no. 1 (2022): 179–89. http://dx.doi.org/10.14710/presipitasi.v19i1.179-189.

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The environmental awareness of consumer has been growing along with the increase of knowledge, education and access to information. The demand from the government, media, and community has also increasingly escalated the pressure to companies to produce environmentally friendly products. This eventually encourages greenwashing practices extensively which are unfavorable to consumers because the practice is frequently included as marketing scam. In addition, the existing environmentally-based certification is primarily oriented to the planet and profit aspects of the triple bottom lines and tends to ignore the community. Hence, this study reviews a variety of green-based certifications or sustainability indicators which has existed particularly in Indonesia and their potential for the development of convenience products, products which are consumed in high frequency since they are cheap and consumed daily. This research involves explorative analysis using open secondary data from public journalism, media releases, academic references, and official webpages. Furthermore, this research describes current green-based certifications and presents the initial concept of a sustainability indicator which involved the planet and humans concurrently as well as adopt Proper label as product labelling.
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Rakić, Dragan, Vladimir Dunić, Miroslav Živković, Nenad Grujović, and Dejan Divac. "MODELING OF DAMAGED CONCRETE USING INITIAL DEGRADATION PARAMETER." Journal of the Serbian Society for Computational Mechanics 13, no. 2 (2019): 8–18. http://dx.doi.org/10.24874/jsscm.2019.13.02.02.

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Liu, Li-Bo, Ying-Jing Qian, and Xiao-Dong Yang. "Initial Parameter Analysis about Resonant Orbits in Earth-Moon System." Advances in Astronomy 2019 (January 23, 2019): 1–17. http://dx.doi.org/10.1155/2019/6324901.

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The initial parameters about resonant orbits in the Earth-Moon system were investigated in this study. Resonant orbits with different ratios are obtained in the two-body problem and planar circular restricted three-body problem (i.e., PCRTBP). It is found that the eccentricity and initial phase are two important initial parameters of resonant orbits that affect the closest distance between the spacecraft and the Moon. Potential resonant transition or resonant flyby may occur depending on the possibility of the spacecraft approaching the Moon. Based on an analysis of ballistic capture and flyby, the Kepler energy and the planet’s perturbed gravitational sphere are used as criteria to establish connections between the initial parameters and the possible “steady” resonant orbits. The initial parameter intervals that can cause instability of the resonant orbits in the CRTBP are obtained. Examples of resonant orbits in 1:2 and 2:1 resonances are provided to verify the proposed criteria.
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Flynn, S., and I. Espinal. "Head-initial/head-final parameter in adult Chinese L2 acquisition of English." Interlanguage studies bulletin (Utrecht) 1, no. 2 (1985): 93–117. http://dx.doi.org/10.1177/026765838500100201.

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In this study, we investigate the role of the head-initial/head-final parameter in adult second language (L2) acquisition of English. Sixty Chinese speaking adults were tested in their elicited production of complex sentences which involved pre-and postposed adverbial subordinate clauses both with and without pronoun anaphors. Results obtained in this study match those reported earlier for Japanese speakers learning English (Flynn, 1981; 1983a; 1983b; 1984; in press). Both Japanese and Chinese are head-final languages (Kuno, 1973; Huang, 1982). Findings are used to argue for the role of the head-initial/head-final parameter in adult L2 acquisition of pronoun anaphora. They are also used to argue for a model of grammar in which parameters associated with head-direction are differentiated from parameters associated with word order (Travis, 1983; 1984). Results also provide additional empirical support for the parameter setting model of L2 acquisition currently proposed by Flynn (1983a; 1983b, in press; forthcoming).
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Cari, Elmer P. T., Edson A. R. Theodoro, Ana P. Mijolaro, Newton G. Bretas, and Luis F. C. Alberto. "Trajectory Sensitivity Method and Master-Slave Synchronization to Estimate Parameters of Nonlinear Systems." Mathematical Problems in Engineering 2009 (2009): 1–14. http://dx.doi.org/10.1155/2009/387317.

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A combination of trajectory sensitivity method and master-slave synchronization was proposed to parameter estimation of nonlinear systems. It was shown that master-slave coupling increases the robustness of the trajectory sensitivity algorithm with respect to the initial guess of parameters. Since synchronization is not a guarantee that the estimation process converges to the correct parameters, a conditional test that guarantees that the new combined methodology estimates the true values of parameters was proposed. This conditional test was successfully applied to Lorenz's and Chua's systems, and the proposed parameter estimation algorithm has shown to be very robust with respect to parameter initial guesses and measurement noise for these examples.
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Aalto, Atte. "Iterative observer-based state and parameter estimation for linear systems." ESAIM: Control, Optimisation and Calculus of Variations 24, no. 1 (2018): 265–88. http://dx.doi.org/10.1051/cocv/2017005.

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We propose an iterative method for joint state and parameter estimation using measurements on a time interval [0, T] for systems that are backward output stabilizable. Since this time interval is fixed, errors in initial state may have a big impact on the parameter estimate. We propose to use the back and forth nudging (BFN) method for estimating the system’s initial state and a Gauss–Newton step between BFN iterations for estimating the system parameters. Taking advantage of results on the optimality of the BFN method, we show that for systems with skew-adjoint generators, the initial state and parameter estimate minimizing an output error cost functional is an attractive fixed point for the proposed method. We treat both linear source estimation and bilinear parameter estimation problems.
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Zhu, Ao, Shu Ying Wang, and Yong Zhen Peng. "A Simple Soft Sensing Method Based on DO Simulation for COD/OUR/Ammonia/Nitrite/Nitrate in a Constant Aerotion SBR." Advanced Materials Research 588-589 (November 2012): 64–67. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.64.

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Dissolved Oxygen (DO) is one of critical factors influencing substrate degradation and nitrification rates in activated sludge process. A two-step nitrification model describing the aeration period of the sequencing batch reactor (SBR) operation is developed. Parameter estimation of this model using the DO data determine the stoichiometry and kinetic parameters as well as the initial value of main nutrients, including readily biodegradable substrate, ammonia, nitrite and nitrate. Only if the parameter estimation is implemented, reaction related substrates can be predicted if new initial values are given. With optimal DO data, this paper pointed out that without initial value monitoring, both of the parameter estimation and prediction of the main nutrients profiles can be done through a simple method based on a global parameter estimation algorithm.
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Qiao, Hou, Wei Li, Zhenqiang Jiang, Xi Sheng, and Chuanrui Guo. "Inverse Evaluation of Monopile Pile–Soil Interaction Parameters Using Random Search." Journal of Marine Science and Engineering 11, no. 7 (2023): 1329. http://dx.doi.org/10.3390/jmse11071329.

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To deal with the uncertainties in modeling offshore wind turbines, we propose a parameter inversion method for the pile–soil interaction model based on structural health monitoring results and the numerical model. The proposed parameter inversion method has a numerical model, an objective function selected using both the numerical and identified results, and an inverse optimization using a random search algorithm in the assumed parameter space. The parameter results in the minimum optimization objective function are identified as the in situ parameter. The proposed method is confirmed to converge after some number of iterations, depending on what the initial parameter values are. However, different initial parameter cases may converge to slightly different optimal parameters, implying that the pile results are sensitive to geological parameters. Moreover, a comparison with the original design results shows design redundancy or risks. Though the proposed method has several flaws, it can shed light on the influence of parameter uncertainties on offshore wind turbines.
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OKAMOTO, Takashi, and Hironori HIRATA. "A Chaotic Optimization Method without Initial Sampling Parameter Tuning." Transactions of the Society of Instrument and Control Engineers 48, no. 3 (2012): 125–33. http://dx.doi.org/10.9746/sicetr.48.125.

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Wang, Kai, Wenjiang Pei, Xubo Hou, Yi Shen, and Zhenya He. "Symbolic dynamics approach to parameter estimation without initial value." Physics Letters A 374, no. 1 (2009): 44–49. http://dx.doi.org/10.1016/j.physleta.2009.10.021.

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20

Kierstead, J. A., and P. W. Levy. "Validity of repeated initial rise thermoluminescence kinetic parameter determinations." International Journal of Radiation Applications and Instrumentation. Part D. Nuclear Tracks and Radiation Measurements 18, no. 1-2 (1991): 19–25. http://dx.doi.org/10.1016/1359-0189(91)90087-x.

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Lenz, Christian T., Hubert Klahr, Tilman Birnstiel, Katherine Kretke, and Sebastian Stammler. "Constraining the parameter space for the solar nebula." Astronomy & Astrophysics 640 (August 2020): A61. http://dx.doi.org/10.1051/0004-6361/202037878.

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Context. When we wish to understand planetesimal formation, the only data set we have is our own Solar System. The Solar System is particularly interesting because so far, it is the only planetary system we know of that developed life. Understanding the conditions under which the solar nebula evolved is crucial in order to understand the different processes in the disk and the subsequent dynamical interaction between (proto-)planets after the gas disk has dissolved. Aims. Protoplanetary disks provide a plethora of different parameters to explore. The question is whether this parameter space can be constrained, allowing simulations to reproduce the Solar System. Methods. Models and observations of planet formation provide constraints on the initial planetesimal mass in certain regions of the solar nebula. By making use of pebble flux-regulated planetesimal formation, we performed a parameter study with nine different disk parameters such as the initial disk mass, the initial disk size, the initial dust-to-gas ratio, the turbulence level, and others. Results. We find that the distribution of mass in planetesimals in the disk depends on the timescales of planetesimal formation and pebble drift. Multiple disk parameters can affect the pebble properties and thus planetesimal formation. However, it is still possible to draw some conclusions on potential parameter ranges. Conclusions. Pebble flux-regulated planetesimal formation appears to be very robust, allowing simulations with a wide range of parameters to meet the initial planetesimal constraints for the solar nebula. This means that it does not require much fine-tuning.
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Cai, Shangshu, Wuming Zhang, Xinlian Liang, et al. "Filtering Airborne LiDAR Data Through Complementary Cloth Simulation and Progressive TIN Densification Filters." Remote Sensing 11, no. 9 (2019): 1037. http://dx.doi.org/10.3390/rs11091037.

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Separating point clouds into ground and non-ground points is a preliminary and essential step in various applications of airborne light detection and ranging (LiDAR) data, and many filtering algorithms have been proposed to automatically filter ground points. Among them, the progressive triangulated irregular network (TIN) densification filtering (PTDF) algorithm is widely employed due to its robustness and effectiveness. However, the performance of this algorithm usually depends on the detailed initial terrain and the cautious tuning of parameters to cope with various terrains. Consequently, many approaches have been proposed to provide as much detailed initial terrain as possible. However, most of them require many user-defined parameters. Moreover, these parameters are difficult to determine for users. Recently, the cloth simulation filtering (CSF) algorithm has gradually drawn attention because its parameters are few and easy-to-set. CSF can obtain a fine initial terrain, which simultaneously provides a good foundation for parameter threshold estimation of progressive TIN densification (PTD). However, it easily causes misclassification when further refining the initial terrain. To achieve the complementary advantages of CSF and PTDF, a novel filtering algorithm that combines cloth simulation (CS) and PTD is proposed in this study. In the proposed algorithm, a high-quality initial provisional digital terrain model (DTM) is obtained by CS, and the parameter thresholds of PTD are estimated from the initial provisional DTM based on statistical analysis theory. Finally, PTD with adaptive parameter thresholds is used to refine the initial provisional DTM. These contributions of the implementation details achieve accuracy enhancement and resilience to parameter tuning. The experimental results indicate that the proposed algorithm improves performance over their direct predecessors. Furthermore, compared with the publicized improved PTDF algorithms, our algorithm is not only superior in accuracy but also practicality. The fact that the proposed algorithm is of high accuracy and easy-to-use is desirable for users.
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Neff, P., D. Steineder, B. Stummer, and T. Clemens. "Estimation of Initial Hydrocarbon Saturation Applying Machine Learning Under Petrophysical Uncertainty." SPE Reservoir Evaluation & Engineering 24, no. 02 (2021): 325–40. http://dx.doi.org/10.2118/203384-pa.

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Summary The initial hydrocarbon saturation has a major effect on field-development planning and resource estimation. However, the bases of the initial hydrocarbon saturation are indirect measurements from spatially distributed wells applying saturation-height modeling using uncertain parameters. Because of the multitude of parameters, applying assisted-matching methods requires trade-offs regarding the quality of objective functions used for the various observed data. Applying machine learning (ML) in a Bayesian framework helps overcome these challenges. In the present study, the methodology is used to derive posterior parameter distributions for saturation-height modeling honoring the petrophysical uncertainty in a field. The results are used for dynamic model initialization and will be applied for forecasting under uncertainty. To determine the dynamic numerical model initial hydrocarbon saturation, the saturation-height model (SHM) needs to be conditioned to the petrophysically interpreted logs. There were 2,500 geological realizations generated to cover the interpreted ranges of porosity, permeability, and saturations for 15 wells. For the SHM, 12 parameters and their ranges were introduced. Latin hypercube sampling was used to generate a training set for ML models using the random forest algorithm. The trained ML models were conditioned to the petrophysical log-derived saturation data. To ensure a fieldwide consistency of the dynamic numerical models, only parameter combinations honoring the interpreted saturation range for all wells were selected. The presented method allows for consistent initialization and for rejection of parameters that do not fit the observed data. In our case study, the most-significant observation concerns the posterior parameter-distribution ranges, which are narrowed down dramatically, such as the free-water-level (FWL) range, which is reduced from 645–670 m subsea level (mSS) to 656–668 mSS. Furthermore, the SHM parameters are proved independent; thus, the resulting posterior parameter ranges for the SHM can be used for conditioning production data to models and subsequent hydrocarbon-production forecasting. Additional observations can be made from the ML results, such as the correlation between wells; this allows for interpreting groups of wells that have a similar behavior, favor the same combinations, and potentially belong to the same compartment.
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Nie, S., J. Zhu, and Y. Luo. "Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: identical twin experiments." Hydrology and Earth System Sciences 15, no. 8 (2011): 2437–57. http://dx.doi.org/10.5194/hess-15-2437-2011.

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Abstract. The performance of the ensemble Kalman filter (EnKF) in soil moisture assimilation applications is investigated in the context of simultaneous state-parameter estimation in the presence of uncertainties from model parameters, soil moisture initial condition and atmospheric forcing. A physically based land surface model is used for this purpose. Using a series of identical twin experiments in two kinds of initial parameter distribution (IPD) scenarios, the narrow IPD (NIPD) scenario and the wide IPD (WIPD) scenario, model-generated near surface soil moisture observations are assimilated to estimate soil moisture state and three hydraulic parameters (the saturated hydraulic conductivity, the saturated soil moisture suction and a soil texture empirical parameter) in the model. The estimation of single imperfect parameter is successful with the ensemble mean value of all three estimated parameters converging to their true values respectively in both NIPD and WIPD scenarios. Increasing the number of imperfect parameters leads to a decline in the estimation performance. A wide initial distribution of estimated parameters can produce improved simultaneous multi-parameter estimation performances compared to that of the NIPD scenario. However, when the number of estimated parameters increased to three, not all parameters were estimated successfully for both NIPD and WIPD scenarios. By introducing constraints between estimated hydraulic parameters, the performance of the constrained three-parameter estimation was successful, even if temporally sparse observations were available for assimilation. The constrained estimation method can reduce RMSE much more in soil moisture forecasting compared to the non-constrained estimation method and traditional non-parameter-estimation assimilation method. The benefit of this method in estimating all imperfect parameters simultaneously can be fully demonstrated when the corresponding non-constrained estimation method displays a relatively poor parameter estimation performance. Because all these constraints between parameters were obtained in a statistical sense, this constrained state-parameter estimation scheme is likely suitable for other land surface models even with more imperfect parameters estimated in soil moisture assimilation applications.
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Putri, Safirda Adini Rahmatsyah, and Muhammad Nurul Fahmi. "RELOKASI PARAMETER GEMPABUMI SALATIGA 18 OKTOBER 2023 MENGGUNAKAN METODE GEIGER." Inovasi Fisika Indonesia 14, no. 1 (2025): 75–84. https://doi.org/10.26740/ifi.v14n1.p75-84.

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Relokasi parameter gempabumi merupakan salah satu inversi geofisika yang dilakukan untuk mendapatkan nilai parameter baru dengan ketepatan yang lebih baik. Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh iterasi terhadap perubahan nilai parameter yang dihasilkan pada relokasi gempabumi menggunakan metode geiger, serta untuk mengetahui parameter gempabumi setelah dilakukan relokasi menggunakan metode geiger. Perhitungan relokasi menggunakan parameter awal gempa sebagai variabel kontrol, iterasi sebagai variabel manipulasi, nilai error, parameter gempa baru, grafik perubahan parameter pada setiap iterasi, grafik perubahan error (Δx, Δy, Δz, dan Δt) pada setiap iterasi, serta peta episenter gempabumi sebelum dan sesudah direlokasi sebagai variabel respon. Perhitungan relokasi metode geiger diolah menggunakan Microsoft Excel dan dilakukan regresi berganda dengan enam kali iterasi sehingga mendapatkan error minimum. Peneitian ini menghasilkan parameter baru diantaranya adalah koordinat episenter (110,735 BT dan -7,324 LS) dengan perubahan sejauh 0,005 ºBT dan 0,0156 ºLS dari koordinat episenter awal, kedalaman 18,11 km dengan perubahan sejauh 5,11 km dari kedalaman awal, dan Origin time yaitu pada 11:29:33,7 UTC dengan perubahan sebanyak 2,44 detik dari Origin time awal. Kata Kunci: Relokasi, parameter gempabumi, metode geiger Abstract Earthquake parameter relocation is one of the geophysical inversions conducted to obtain new parameter values with better accuracy. This study was conducted with the aim to determine the effect of iteration on changes in parameter values produced in earthquake relocation using the Geiger method, as well as to determine the earthquake parameters after relocation using the Geiger method. The relocation calculation uses the initial earthquake parameters as control variables, iterations as manipulation variables, error values, new earthquake parameters, graphs of parameter changes at each iteration, graphs of error changes (Δx, Δy, Δz, and Δt) at each iteration, and earthquake epicenter maps before and after relocation as response variables. Geiger method relocation calculations are processed using Microsoft Excel and multiple regression is performed with six iterations to get the minimum error. This research produces new parameters including epicenter coordinates (110.735 East and -7.324 LS) with a change of 0.005 ºBT and 0.0156 ºLS from the initial epicenter coordinates, depth of 18.11 km with a change of 5.11 km from the initial depth, and Origin time at 11:29:33.7 UTC with a change of 2.44 seconds from the initial Origin time. Keywords: Relocation, earthquake parameters, epicenter, hypocenter, origin time, iteration, geiger method
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Abdulbaqi, et. al., Azmi Shawkat. "Exploring the potential of offline cryptography techniques for securing ECG signals in healthcare." Periodicals of Engineering and Natural Sciences (PEN) 11, no. 3 (2023): 148–54. https://doi.org/10.21533/pen.v11.i3.142.

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In the research, a software for ECG signal based on Chaos encryption based on C#-programmed and Kit of Microsoft Visual Studio Development was implemented. A chaos logic map (ChLMp ) and its initial value are utilized to create Level-1 ECG signal based on Chaos encryption bit streams. A ChLMp, an initial value, a ChLMp bifurcation parameter, and two encryption level parameters are utilized to create level-2 ECG signal based on Chaos encryption bit streams. The level-3 ECG signal based on Chaos encryption software utilizes two parameters for the level of encryption, a permutation mechanism, an initial value, a bifurcation parameter of the level of encryption, and a ChLMp. We assess 16-channel ECG signals with great resolution utilizing encryption software. The level-3 ECG signal based on Chaos encryption program has the slowest and most reliable encryption speed. The encryption effect is superior, according to test findings, and when the right decoding parameter is utilized, the ECG signals may be completely recovered. The high resolution 16-channel ECG signals (HRMCECG) won't be recovered if an invalid input parameter occurred, such as a 0.00001% initial point error, which will result in chaotic encryption bit streams.
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NAMI, MOHAMMAD RAHIM, and MAZIAR JANGHORBAN. "WAVE PROPAGATION IN RECTANGULAR NANOPLATES BASED ON STRAIN GRADIENT THEORY WITH ONE GRADIENT PARAMETER WITH CONSIDERING INITIAL STRESS." Modern Physics Letters B 28, no. 03 (2014): 1450021. http://dx.doi.org/10.1142/s0217984914500213.

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In this paper, on the basis of gradient elasticity theory with one gradient parameter, wave propagation in rectangular nanoplates is studied. In the governing equation, the influences of initial stresses and elastic foundation are also considered. An analytical approach is used to solve the governing equation. The effects of different parameters such as gradient parameter on the circular and cut-off frequencies are presented. One can see that the initial stress and gradient parameter play an important role in investigating the wave propagation in nanoplates.
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Wang, Zhenyu, Hana Sheikh, Kyongbum Lee, and Christos Georgakis. "Sequential Parameter Estimation for Mammalian Cell Model Based on In Silico Design of Experiments." Processes 6, no. 8 (2018): 100. http://dx.doi.org/10.3390/pr6080100.

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Due to the complicated metabolism of mammalian cells, the corresponding dynamic mathematical models usually consist of large sets of differential and algebraic equations with a large number of parameters to be estimated. On the other hand, the measured data for estimating the model parameters are limited. Consequently, the parameter estimates may converge to a local minimum far from the optimal ones, especially when the initial guesses of the parameter values are poor. The methodology presented in this paper provides a systematic way for estimating parameters sequentially that generates better initial guesses for parameter estimation and improves the accuracy of the obtained metabolic model. The model parameters are first classified into four subsets of decreasing importance, based on the sensitivity of the model’s predictions on the parameters’ assumed values. The parameters in the most sensitive subset, typically a small fraction of the total, are estimated first. When estimating the remaining parameters with next most sensitive subset, the subsets of parameters with higher sensitivities are estimated again using their previously obtained optimal values as the initial guesses. The power of this sequential estimation approach is illustrated through a case study on the estimation of parameters in a dynamic model of CHO cell metabolism in fed-batch culture. We show that the sequential parameter estimation approach improves model accuracy and that using limited data to estimate low-sensitivity parameters can worsen model performance.
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Wang, Xiang Dong, Wei Xuan Zhu, Ai Min Deng, Ling Qiu, and Yue Feng Wang. "Study on Initial Damage of Concrete." Key Engineering Materials 417-418 (October 2009): 633–36. http://dx.doi.org/10.4028/www.scientific.net/kem.417-418.633.

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Many damage models of concrete have been put forward till now, of which some models are applied in engineering practices. The damage parameters play an important role in the calculations of damage with these models, which is determined during experiments. However, the tests of damage on concrete are rarely made, especially about the measuring method of initial damage. The initial damage is an essential parameter to study on the damage of concrete. Being based on the theory of damage, this paper analyze of the damaged and undamaged elastic modulus of concrete. The new method of determining undamaged elastic modulus from test results has been put forward, and then the initial damage has been quantified.
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Lu, Mengtian, Sicheng Lu, Weihong Liao, Xiaohui Lei, Zhaokai Yin, and Hao Wang. "Research and application of parameter estimation method in hydrological model based on dual ensemble Kalman filter." Hydrology Research 53, no. 1 (2021): 65–84. http://dx.doi.org/10.2166/nh.2021.272.

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Abstract Although field measurements and using long hydrological datasets provide a reliable method for parameters' calibration, changes in the underlying basin surface and lack of hydrometeorological data may affect parameter accuracy in streamflow simulation. The ensemble Kalman filter (EnKF) can be used as a real-time parameter correction method to solve this problem. In this study, five representative Xin'anjiang model parameters are selected to study the effects of the initial parameter ensemble distribution and the specific function form of the parameter on the EnKF parameter estimation process for both single and multiple parameters. Results indicate: (1) the method of parameter calibration to determine the initial distribution mean can improve the assimilation efficiency; (2) there is mutual interference among the parameters during multiple parameters' estimation which invalidates some conclusions of single-parameter estimation. We applied and evaluated the EnKF method in Jinjiang River Basin, China. Compared to traditional approaches, our method showed a better performance in both basins with long hydrometeorological dataset (an increase of Kling–Gupta efficiency (KGE) from 0.810 to 0.887 and a decrease of bias from −1.08% to −0.74%); and in basins with a lack of hydrometeorological data (an increase of KGE from 0.536 to 0.849 and a decrease of bias from −15.55% to −11.42%).
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Radomirskaya, K. A. "Matching Spectral and Initial-Boundary Value Problems." Contemporary Mathematics. Fundamental Directions 63, no. 2 (2017): 316–39. http://dx.doi.org/10.22363/2413-3639-2017-63-2-316-339.

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Based on the approach to abstract matching boundary-value problems introduced in [18], we consider matching spectral problems for one and two domains. We study in detail the arising operator pencil with self-adjoint operator coefficients. This pencil acts in a Hilbert space and depends on two parameters. Both possible cases are considered, where one parameter is spectral and the other is fixed, and properties of solutions are obtained depending on this. Also we study initial-boundary value problems of mathematical physics generating matching problems. We prove theorems on unique solvability of a strong solution ranging in the corresponding Hilbert space.
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Wu, Yan Jun, Ren Long Li, and Xiao Wang. "Detection of Chirp Signal with Time-Varying Amplitude Based on FRFT." Advanced Materials Research 989-994 (July 2014): 4046–49. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4046.

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The general method time-varying amplitude linear FM signal parameter estimation, the proposed parameter fractional Fourier transform for time-varying estimates of the magnitude of the chirp signal, and the related issues of a more in-depth research. Study the time-varying amplitude of the initial phase chirp signal, the initial angular frequency, modulation frequency and amplitude information extraction and estimation methods, and the magnitude of the Gaussian function varies with the magnitude of random variation and chirp signal for the object properties (parameters on parameter estimation estimate the mean square error) were simulated.
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Dinesh Selvaraj, Dinesh x., and Joseph Paramasivam Mathiyazhagan. "A parameter uniform convergence for a system of two singularly perturbed initial value problems with different perturbation parameters and Robin initial conditions." Malaya Journal of Matematik 9, no. 1 (2021): 498–505. http://dx.doi.org/10.26637/mjm0901/0084.

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Los, Valerii, and Aleksandr Murach. "Isomorphism theorems for some parabolic initial-boundary value problems in Hörmander spaces." Open Mathematics 15, no. 1 (2017): 57–76. http://dx.doi.org/10.1515/math-2017-0008.

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Abstract In Hörmander inner product spaces, we investigate initial-boundary value problems for an arbitrary second order parabolic partial differential equation and the Dirichlet or a general first-order boundary conditions. We prove that the operators corresponding to these problems are isomorphisms between appropriate Hörmander spaces. The regularity of the functions which form these spaces is characterized by a pair of number parameters and a function parameter varying regularly at infinity in the sense of Karamata. Owing to this function parameter, the Hörmander spaces describe the regularity of functions more finely than the anisotropic Sobolev spaces.
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Chen, Heping, Jing Xu, Biao Zhang, and Thomas Fuhlbrigge. "Improved parameter optimization method for complex assembly process in robotic manufacturing." Industrial Robot: An International Journal 44, no. 1 (2017): 21–27. http://dx.doi.org/10.1108/ir-03-2016-0098.

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Purpose High precision assembly processes using industrial robots require the process parameters to be tuned to achieve desired performance such as cycle time and first time through rate. Some researchers proposed methods such as design-of-experiments (DOE) to obtain optimal parameters. However, these methods only discuss how to find the optimal parameters if the part and/or workpiece location errors are in a certain range. In real assembly processes, the part and/or workpiece location errors could be different from batch to batch. Therefore, the existing methods have some limitations. This paper aims to improve the process parameter optimization method for complex robotic assembly process. Design/methodology/approach In this paper, the parameter optimization process based on DOE with different part and/or workpiece location errors is investigated. An online parameter optimization method is also proposed. Findings Experimental results demonstrate that the optimal parameters for different initial conditions are different and larger initial part and/or workpiece location errors will cause longer cycle time. Therefore, to improve the assembly process performance, the initial part and/or workpiece location errors should be compensated first, and the optimal parameters in production should be changed once the initial tool position is compensated. Experimental results show that the proposed method is very promising in reducing the cycle time in assembly processes. Research limitations/implications The proposed method is practical without any limitation. Practical implications The proposed technique is implemented and tested using a real industrial application, a valve body assembly process. Hence, the developed method can be directly implemented in production. Originality/value This paper provides a technique to improve the assembly efficiency by compensating the initial part location errors. An online parameter optimization method is also proposed to automatically perform the parameter optimization process without human intervention. Compared with the results using other methods, the proposed technology can greatly reduce the assembly cycle time.
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36

Ala, Sindhuja, Rajitha Gurijala, and Malla Reddy Perati. "Shear wave propagation in magneto poroelastic medium sandwiched between self-reinforced poroelastic medium and poroelastic half space." Engineering Computations 37, no. 9 (2020): 3345–59. http://dx.doi.org/10.1108/ec-11-2019-0505.

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Purpose The purpose of this paper is to investigate the effect of reinforcement, inhomogeneity and initial stress on the propagation of shear waves. The problem consists of magneto poroelastic medium sandwiched between self-reinforced medium and poroelastic half space. Using Biot’s theory of wave propagation, the frequency equation is obtained. Design/methodology/approach Shear wave propagation in magneto poroelastic medium embedded between a self-reinforced medium and poroelastic half space is investigated. This particular setup is quite possible in the Earth crust. All the three media are assumed to be inhomogeneous under initial stress. The significant effects of initial stress and inhomogeneity parameters of individual media have been studied. Findings Phase velocity is computed against wavenumber for various values of self-reinforcement, heterogeneity parameter and initial stress. Classical elasticity results are deduced as a particular case of the present study. Also in the absence of inhomogeneity and initial stress, frequency equation is discussed. Graphical representation is made to exhibit the results. Originality/value Shear wave propagation in magneto poroelastic medium embedded between a self-reinforced medium, and poroelastic half space are investigated in presence of initial stress, and inhomogeneity parameter. For heterogeneous poroelastic half space, the Whittaker’s solution is obtained. From the numerical results, it is observed that heterogeneity parameter, inhomogeneity parameter and reinforcement parameter have significant influences on the wave characteristics. In addition, frequency equation is discussed in absence of inhomogeneity and initial stress. For the validation purpose, numerical results are also computed for a particular case.
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Hossain, Md. Zakir, Md. Jakirul Islam, Md. Waliur Rahman Miah, Jahid Hasan Rony, and Momotaz Begum. "Develop a dynamic DBSCAN algorithm for solving initial parameter selection problem of the DBSCAN algorithm." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1602–10. https://doi.org/10.11591/ijeecs.v23.i3.pp1602-1610.

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The amount of data has been increasing exponentially in every sector such as banking securities, healthcare, education, manufacturing, consumer-trade, transportation, and energy. Most of these data are noise, different in shapes, and outliers. In such cases, it is challenging to find the desired data clusters using conventional clustering algorithms. DBSCAN is a popular clustering algorithm which is widely used for noisy, arbitrary shape, and outlier data. However, its performance highly depends on the proper selection of cluster radius (Eps) and the minimum number of points (MinPts) that are required for forming clusters for the given dataset. In the case of real-world clustering problems, it is a difficult task to select the exact value of Eps and MinPts to perform the clustering on unknown datasets. To address these, this paper proposes a dynamic DBSCAN algorithm that calculates the suitable value for Eps and MinPts dynamically by which the clustering quality of the given problem will be increased. This paper evaluates the performance of the dynamic DBSCAN algorithm over seven challenging datasets. The experimental results confirm the effectiveness of the dynamic DBSCAN algorithm over the well-known clustering algorithms.
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38

Kopysov, Oleg. "Identification of Physical Dynamical Processes Via Linear Structure Models (Part 2)." International Journal of Systems Engineering 8, no. 2 (2024): 22–39. http://dx.doi.org/10.11648/j.ijse.20240802.11.

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Well-known methods of joint estimation of the state and parameters (quasilinearization, invariant imbedding, extended Kalman filter and others like them) expand the vector of the state of the system by including equations for parameters in the model. Such a task of joint estimation of the state and parameter is nonlinear even for linear systems. For Linear Structure Models (LSModels), an analytical method is proposed for the transition to an auxiliary model in which the parameter vector is expanded by initial states and the task of identifying parameter and initial states becomes linear. With the help of an auxiliary state vector, the initial dynamic model is reduced to an auxiliary model with residual. In this case, the auxiliary model does not contain derivatives of the measured elements of the initial dynamic model, but contains filtered measured elements. The proof of the identity of solutions according to the initial and auxiliary models is given. An Iterative algorithm of identification of order, parameters and state estimation is proposed. An analytical example of solving the problem of joint estimation of parameters and state for the heat equation is given and its software implementation in the MATLAB is discussed in detail. Next, another auxiliary model is proposed. If the first implies that the order of the differential equation is unknown but only limited by a certain value, then the second model has a given order. Now there can be two types of auxiliary models to it. An example of a nonlinear initial model is given.
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Er-rafii, Hicham, and Abdelghafour Galadi. "An Optimal Parameter Extraction Procedure for SiC Power MOSFET Model." Journal of Integrated Circuits and Systems 18, no. 2 (2023): 1–6. http://dx.doi.org/10.29292/jics.v18i2.756.

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A simple and efficient parameter extraction method for Silicon Carbide (SiC) power MOSFET model is described. This method uses nonlinear optimization algorithm to find the optimal set of parameters to model. The optimizer algorithm starts with initial guess parameters, extracted from measurement, to provide a set of parameters minimizing errors between model and measurements data in entire operating regions of the device. The starting initial guess parameter values give to the algorithm a closed solution to obtain the optimal set of model parameters with reduced iteratives. The Levenberg-Marquardt (LM) algorithm will be used in this work. The efficiency of the proposed extraction method is proved with the good agreements obtained between the model and the measurements.
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Konyushkov, Vladimir, Daniil Penkov, and Evgeniy Fedorenko. "Initial data for Hardening Soil model." E3S Web of Conferences 371 (2023): 02019. http://dx.doi.org/10.1051/e3sconf/202337102019.

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Nowadays, civil engineering makes high demands on numeral modelling in geotechnical engineering, notably, to ensure reliability of a structure at minimum cost. Using of codes and standards supported with numerical calculations and soil constitutive models makes the design satisfying this requirement possible. But no matter how complex the model is its fidelity depends on input data. The article describes a method for determining the main characteristics of the Hardening Soil model (including calculating the power parameter m and reducing the deformation characteristics of the soil to the recommended value of the reference pressure). A comparison of two approaches was made: using a table of physical and mechanical characteristics; and the approach based on the analysis of the results of laboratory tests in accordance with the methodology given in the article and further verification of the obtained parameters. The result of the comparison was the complete inconsistency of the first approach for assigning the parameters of the nonlinear soil model and the need to refer to the test protocols was confirmed.
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Tong, Mingjing, and Ming Xue. "Simultaneous Estimation of Microphysical Parameters and Atmospheric State with Simulated Radar Data and Ensemble Square Root Kalman Filter. Part II: Parameter Estimation Experiments." Monthly Weather Review 136, no. 5 (2008): 1649–68. http://dx.doi.org/10.1175/2007mwr2071.1.

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Abstract The ensemble Kalman filter method is applied to correct errors in five fundamental microphysical parameters that are closely involved in the definition of drop/particle size distributions of microphysical species in a commonly used single-moment ice microphysics scheme, for a model-simulated supercell storm, using radar data. The five parameters include the intercept parameters for rain, snow, and hail/graupel and the bulk densities of hail/graupel and snow. The ensemble square root Kalman filter (EnSRF) is employed for simultaneous state and parameter estimation. The five microphysical parameters are estimated individually or in different combinations starting from different initial guesses. A data selection procedure based on correlation information is introduced, which combined with variance inflation, effectively avoids the collapse of the spread of parameter ensemble, hence filter divergence. Parameter estimation results demonstrate, for the first time, that the ensemble-based method can be used to correct model errors in microphysical parameters through simultaneous state and parameter estimation, using radar reflectivity observations. When error exists in only one of the microphysical parameters, the parameter can be successfully estimated without exception. The estimation of multiple parameters is less reliable, mainly because the identifiability of the parameters becomes weaker and the problem might have no unique solution. The parameter estimation results are found to be very sensitive to the realization of the initial parameter ensemble, which is mainly related to the use of relatively small ensemble sizes. Increasing ensemble size generally improves the parameter estimation. The quality of parameter estimation also depends on the quality of observation data. It is also found that the results of state estimation are generally improved when simultaneous parameter estimation is performed, even when the estimated parameter values are not very accurate.
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Ma, Jianfei, Kai Ding, Bing Yan, and Wen Dong. "Initial Tracking Parameter Estimation of Magnetic Ship Based on PSO." Mathematical Problems in Engineering 2020 (July 11, 2020): 1–7. http://dx.doi.org/10.1155/2020/7560474.

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We consider the problem of tracking a surface magnetic ship as it travels in a straight line path with the exertion of a magnetometer located at the seabed. Note that the initial filter parameters are prior information and the tracking performance depends on the initial filter parameters, and traditional estimation of initial filter parameters is to apply the filter bank algorithm, but there are several obvious defects in this method. In this paper, a novel algorithm based on the particle swarm optimization (PSO) algorithm is proposed to estimate initial parameters of the filter, and the model of uniformly magnetized ellipsoid is adopted to fit the magnetic field of the ship. The simulation results show that, under the condition of no prior information, the estimated ship parameters based on the observation of the single-observer are invalid, whereas the estimated ship parameters based on the observation of the double-observer are valid. Further, the estimated results of real-world recorded magnetic signals show that the ship parameters estimated by PSO based on the double-observer are also valid, as the estimated parameters are used as the initial parameters of the unscented Kalman filter (UKF), and a ship can be tracked effectively by the UKF filter. Moreover, the estimated half focal length can be used as a feature to distinguish noise environment, ships with different sizes, and mine sweepers.
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Zhang, Zhen Ying, and Da Zhi Wu. "The Duncan-Chang Model Parameters for Municipal Solid Waste." Applied Mechanics and Materials 48-49 (February 2011): 1235–40. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.1235.

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By theoretical analysis and laboratory test, the model parameters of Duncan-Chang for municipal solid waste have been studied. To obtain the mechanical parameters, a new simple and practical method has been established. Research results show that the damage ratio is 0.6, parameter n is about 1.05, parameter F varies between 0 and 0.1, and parameter G varies between 0.3 and 0.4. Besides, the relationship between parameter k and the initial void ratio is linear, and the slope of the line is 5.0.
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Zhang, Liang, Huiqun Yuan, and Xin Li. "Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two-Parameter Method without OPR Sensor." Shock and Vibration 2021 (July 24, 2021): 1–13. http://dx.doi.org/10.1155/2021/5860353.

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Blade tip-timing is one of the most effective methods for blade vibration parameters identification of turbomachinery. Once-per revolution (OPR) sensor is usually used to determine the rotating speed and as a time reference. However, the OPR sensor leads to a large measurement error or even failure, or it is difficult to install. A new improved two-parameter method without the OPR sensor is proposed to identify the synchronous vibration parameters of variable rotating speed blades. Three eddy current sensors are required to identify the excitation order, vibration amplitude, resonance rotating speed frequency, resonance frequency, and the initial phase of the blades. Numerical simulation of blade synchronous vibration parameters identification is presented, and the identification error of the method is investigated. The simulation results show that the identification accuracy of this method is better than that of the traditional two-parameter method and the improved method in reference, especially in the identification of the vibration initial phase. Experiments are conducted based on the blade tip-timing vibration measurement system. The results indicate that the standard errors of vibration parameter identification results between the new method and the method in reference are smaller, except for the initial phase. It is consistent with the results of the simulation identification. The synchronous vibration parameter identification of variable rotating speed blades without the OPR sensor is achieved based on the new improved two-parameter method.
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Khan, M. H. R., and A. K. M. Akther Hossain. "HIGH-FREQUENCY RESPONSE OF COMPLEX INITIAL PERMEABILITY OF Cr SUBSTITUTED Co0.5Cu0.5Fe2-xCrxO4." Bangladesh Journal of Physics 29, no. 1 (2025): 25–38. https://doi.org/10.3329/bjphy.v29i1.78688.

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The Lattice parameter, density, initial permeability, saturation magnetization, and Néel temperature of the Cr substituted various Co0.5Cu0.5Fe2-xCrxO4 have been invented. It also explores how the sintering temperature affects these samples' density, porosity, grain size, and initial permeability. As the Cr content increases, the lattice parameter, density, and saturation magnetization decrease. The variation of lattice parameters, density, and maximum magnetic saturation level can be explained in the light of ionic size, atomic mass, and magnetic moment of Cr ion, respectively. However, grain size, complex initial permeability, and coercivity rise until x=0.2 and fall as the Cr concentration increases. Grain size, initial permeability, and coercivity correlated to each other. The textured structure of this ferrite was found at 1373K, confirmed by XRD and microstructural analysis. Bangladesh Journal of Physics, Vol. 29, Issue 1, pp. 25 – 38, June 2022
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46

Kretschmer, Jörn, Paul D. Docherty, Axel Riedlinger, and Knut Möller. "Evaluating different approaches to identify a three parameter gas exchange model." Current Directions in Biomedical Engineering 2, no. 1 (2016): 669–73. http://dx.doi.org/10.1515/cdbme-2016-0146.

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AbstractMathematical models can be employed to simulate a patient’s individual physiology and can therefore be used to predict reactions to changes in the therapy. To be clinically useful, those models need to be identifiable from data available at the bedside. Gradient based methods to identify the values of the model parameters that represent the recorded data highly depend on the initial estimates. The proposed work implements a previously developed method to overcome those dependencies to identify a three parameter model of gas exchange. The proposed hierarchical method uses models of lower order related to the three parameter model to calculate valid initial estimates for the parameter identification. The presented approach was evaluated using 12 synthetic patients and compared to a traditional direct approach as well as a global search method. Results show that the direct approach is highly dependent on how well the initial estimates are selected, while the hierarchical approach was able to find correct parameter values in all tested patients.
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Rabinowitz, F. Michael. "The Snake-in-the-Torus parameter-optimization algorithm: Initial evaluation." Behavior Research Methods, Instruments, & Computers 23, no. 2 (1991): 314–18. http://dx.doi.org/10.3758/bf03203385.

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48

Masangcap, Maria Lolita G. "Improved Expectation Maximization (EM) Algorithm based on Initial Parameter Selection." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (2018): 2663–69. http://dx.doi.org/10.22214/ijraset.2018.4446.

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Ma, Gui Zhen. "Guyed Mast Structure Select Initial Parameter Impact on Research Performance." Applied Mechanics and Materials 621 (August 2014): 143–47. http://dx.doi.org/10.4028/www.scientific.net/amm.621.143.

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Mast structure is made of soft tow rope and slender shaft, whose large deformation and strong nonlinear dynamic characteristics makes very complicated. Under normal design, construction proportion of cases occurring high mast damage is rare in civil construction. In this paper, by choosing the initial parameters of multilayer guyed mast structure, and to study the impact on the performance of the mast structure.
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Kwon, Yonghwi, Kanghyuk Seo, and Chul Ki Kim. "Enhancing Calibration Precision in MIMO Radar with Initial Parameter Optimization." Remote Sensing 17, no. 3 (2025): 389. https://doi.org/10.3390/rs17030389.

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For Advanced Driver Assistance Systems (ADASs), lots of researchers have been constantly researching various devices that can become the eyes of a vehicle. Currently represented devices are LiDAR, camera, and radar. This paper suggests one of the operation processes to study radar, which can be used regardless of climate change or weather, day or night. Thus, we propose a simple and easy calibration method for Multi-Input Multi-Output (MIMO) radar to guarantee performance with initial calibration parameters. Based on a covariance matrix, the modified signals of all channels improve performance, reducing unexpected interferences. Therefore, using the proposed coupling matrix, we can reduce unexpected interference and generate accurately calibrated results. To prove and verify the improvement in our method, a practical experiment is conducted with Frequency-Modulated Continuous-Wave (FMCW) MIMO radar, mounted on an automotive.
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