Academic literature on the topic 'The amount of smoothing'

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Journal articles on the topic "The amount of smoothing"

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Lee, Uk-Jae, Byeong Wook Lee, Dong-Hui Ko, and Hong-Yeon Cho. "Optimal Estimation of the Peak Wave Period using Smoothing Method." Journal of Korean Society of Coastal and Ocean Engineers 34, no. 6 (2022): 266–74. http://dx.doi.org/10.9765/kscoe.2022.34.6.266.

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In this study, a smoothing method was applied to improve the accuracy of peak wave period estimation using the water surface elevation observed from the Oceanographic and Meteorological Observation Tower located on the west coast of the Korean Peninsula. Validation of the application of the smoothing method was performed using variance of the surface elevation and total amount wave energy, and then the effect on the application of smoothing was analyzed. As a result of the analysis, the correlation coefficient between variance of the surface elevation and total amount wave energy was 0.9994, c
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Ausiannikau, A. V., and V. M. Kozel. "Histogram Filter with Smoothing Parameter Setting." Doklady BGUIR 20, no. 8 (2023): 42–50. http://dx.doi.org/10.35596/1729-7648-2022-20-8-42-50.

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A histogram filter with smoothing parameter settings is discussed in the article. The histogram filter can be effectively applied in the problems of identification (recognition) of distribution laws for small amounts of data. The smoothing parameter is determined taking into account the available a priori information regarding the proposed distribution law. The relationship between the mathematical expectations of the chi-square fit criterion of the standard estimation histogram and the use of the histogram filter has been determined. This ratio is determined by the smoothing factor. The numer
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Mustawinar, Besse Helmi, Kardiana Kardiana, Yuliani Yuliani, and Dwi Risky Arifanti. "Peramalan Cadangan Devisa Menggunakan Metode Double Smoothing Exponential dan Metode Fuzzy Time Series." Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences 3, no. 3 (2024): 105–14. http://dx.doi.org/10.53696/venn.v3i3.79.

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This study aims to forecast the amount of foreign exchange reserves using two methods, namely Double Smoothing Exponential and Fuzzy Time Series. This foreign exchange reserve data is time series data, namely monthly data starting from January 2017 to February 2024 with a total of 86 monthly data. Furthermore, to see the level of accuracy of the forecast results, the Mean Absolute Percentage Error (MAPE) and MSE values ​​are used where the smaller the error value produced, the more accurate the forecast results from the Double Smoothing Exponential Holt and Fuzzy Time Series Cheng methods. The
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Romanuke, Vadim. "Time Series Smoothing Improving Forecasting." Applied Computer Systems 26, no. 1 (2021): 60–70. http://dx.doi.org/10.2478/acss-2021-0008.

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Abstract Both statistical and neural network methods may fail in forecasting time series even operating on a great amount of data. It is an open question of which amount fits best to make sufficiently accurate forecasts on it. This implies that the length or time series might be optimised. Hence, the objective is to improve the quality of forecasting by an assumption that parameters are set nearly at their optimal values. To achieve objective, the two types of the benchmark time series are considered: sine-shaped series and random-like series with repeatability. Trend, seasonality, and decay p
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Nychka, Douglas. "Choosing a Range for the Amount of Smoothing in Nonparametric Regression." Journal of the American Statistical Association 86, no. 415 (1991): 653–64. http://dx.doi.org/10.1080/01621459.1991.10475091.

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Wand, M. "Miscellanea. On the optimal amount of smoothing in penalised spline regression." Biometrika 86, no. 4 (1999): 936–40. http://dx.doi.org/10.1093/biomet/86.4.936.

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Dohrmann, C. R., H. R. Busby, and D. M. Trujillo. "Smoothing Noisy Data Using Dynamic Programming and Generalized Cross-Validation." Journal of Biomechanical Engineering 110, no. 1 (1988): 37–41. http://dx.doi.org/10.1115/1.3108403.

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Smoothing and differentiation of noisy data using spline functions requires the selection of an unknown smoothing parameter. The method of generalized cross-validation provides an excellent estimate of the smoothing parameter from the data itself even when the amount of noise associated with the data is unknown. In the present model only a single smoothing parameter must be obtained, but in a more general context the number may be larger. In an earlier work, smoothing of the data was accomplished by solving a minimization problem using the technique of dynamic programming. This paper shows how
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Setyawan, Heri, Sri Hariyati Fitriasih, and Retno Tri Vulandari. "Implementasi Metode Penghalusan Ekponensial Tunggal Dalam Prediksi Penjualan Buku." Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) 9, no. 2 (2021): 1. http://dx.doi.org/10.30646/tikomsin.v9i2.539.

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The prediction of the quantity of product sales in the future is intended to control the amount of existing product stock, so that product shortages or excess stock can be minimized. When the quantity of sales can be predicted accurately, the fulfillment of consumer demand can be sought on time and the cooperation of the store with the relationship is maintained well so that the store can avoid losing both sales and consumers. The purpose of this study is to compare the effectiveness of the use of the Single Exponential Smoothing method and methods Double Exponential Smoothing with a smoothing
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Verrall, R. J. "Graduation by dynamic regression methods." Journal of the Institute of Actuaries 120, no. 1 (1993): 153–70. http://dx.doi.org/10.1017/s002026810003688x.

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AbstractThis paper extends the theory of graduation by parametric formulae to include dynamic estimation methods. This is an application of the Kalman filter and allows the parameters of the curve fitted to vary with age. The amount of variation is determined by the amount of smoothing required, and the method can be regarded as a combination of curve fitting and sequential smoothing, each of which has been used separately for performing graduations. In practice, a dynamic straight line can always be used for the graduation and the method has a sensible logical interpretation.
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Semenishchev, Evgenii, Igor Shraifel, and Ilya Svirin. "Two approaches to solving the problem of smoothing digital signals based on a combined criterion." Serbian Journal of Electrical Engineering 14, no. 3 (2017): 365–77. http://dx.doi.org/10.2298/sjee1703365s.

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The paper presents a method for smoothing signals represented by a single realization of a finite-length random process, under conditions of a limited amount of a priori information about the signal function and statistical characteristics the noise component. The recommendations on the use of parameters affecting the processing speed and the efficiency of smoothing are given. Two solutions are presented to obtain the result of smoothing the signals. The efficiency results are shown for the processing of digital signals. Examples of comparison of simple methods and suggested ones are given.
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Dissertations / Theses on the topic "The amount of smoothing"

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Friberg, Gusten, and Johansson Carl Åström. "What determines the amount of reported goodwill impairment? : An investigation of Nasdaq Stockholm OMX (OMXS)." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39539.

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Background: The question on how to account for goodwill has long been a subject that causes big debates among actors within financial accounting. In 2004, the IASB released a new standard, IFRS 3 – Business Combinations, that changed the accounting for goodwill. The interpretation for goodwill impairments according to IAS 36 has led to findings in studies that show patterns of earnings management and that a possible gap exists between the standard setter’s basic aim of IAS 36 and what actually is done by the practitioners. Purpose: Examine what determines the amount of reported goodwill impair
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Abu-Bakar, Aznan. "Consumption smoothing and financial intermediation among agricultural households in LDCs, a synthesis of recent literature." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ36386.pdf.

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Lawton, Richard. "Exponential smoothing methods." Thesis, University of Bath, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340928.

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Svetunkov, Ivan. "Complex exponential smoothing." Thesis, Lancaster University, 2016. http://eprints.lancs.ac.uk/82749/.

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Exponential smoothing is one of the most popular forecasting methods in practice. It has been used and researched for more than half a century. It started as an ad-hoc forecasting method and developed to a family of state-space models. Still all exponential smoothing methods are based on time series decomposition and the usage of such components as "level", "trend", "seasonality" and "error". It is assumed that these components may vary from one time series to another and take different forms depending on data characteristics. This makes their definition arbitrary and in fact there is no singl
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Guevara, Prieto Ivonne Alexandra. "Quantum State Smoothing." Thesis, Griffith University, 2016. http://hdl.handle.net/10072/367795.

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Smoothing is an estimation method whereby a classical state (probability distribution for classical variables) at a given time is conditioned on all-time (both past and future) observations. This method has been well developed in classical systems, but its application to quantum systems has only recently begun to be explored. Previous works have used the term "quantum smoothing" to mean estimating classical parameters, (Phys. Rev. Lett., 102, 250403, (2009)), which is essentially classical smoothing in which the noisy observation of the classical parameters is mediated by a quantum system. In
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Ni, Kai. "Tectonic smoothing and mapping." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41072.

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Large-scale mapping has become the key to numerous applications, e.g. simultaneous localization and mapping (SLAM) for autonomous robots. Despite of the success of many SLAM projects, there are still some challenging scenarios in which most of the current algorithms are not able to deliver an exact solution fast enough. One of these challenges is the size of SLAM problems, which has increased by several magnitudes over the last decade. Another challenge for SLAM problems is the large amount of noise baked in the measurements, which often yields poor initializations and slows or even fails the
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Yake, Bronson Thomas. "Self-Smoothing Functional Estimation." MSSTATE, 2002. http://sun.library.msstate.edu/ETD-db/theses/available/etd-09032002-090546/.

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Analysis of measured data is often required when there is no deep understanding of the mathematics that accurately describes the process being measured. Additionally, realistic estimation of the derivative of measured data is often useful. Current techniques of accomplishing this type of data analysis are labor intensive, prone to significant error, and highly dependent on the expertise of the engineer performing the analysis. The ?Self-Smoothing Functional Estimation? (SSFE) algorithm was developed to automate the analysis of measured data and to provide a reliable basis for the extraction of
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Kaess, Michael. "Incremental smoothing and mapping." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26572.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Dellaert, Frank; Committee Member: Bobick, Aaron; Committee Member: Christensen, Henrik; Committee Member: Leonard, John; Committee Member: Rehg, James. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Saleh, Mojtaba. "Smoothing of Photovoltaic Generation." Thesis, Curtin University, 2017. http://hdl.handle.net/20.500.11937/66584.

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This study investigates the solutions to eliminate the intermittency of the photovoltaic (PV) generation resources in the electric grids. It addresses the battery storage backup as a conventional solution to absorb the sudden dips and rises in the PV generation, which are mainly attributed to passing clouds. This approach is further improved by incorporating the cloud prediction information produced by processing the real-time sky images. This proved to mitigate the reliance on the storage backup.
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Chakravarty, Subhashish. "Bayesian surface smoothing under anisotropy." Diss., University of Iowa, 2007. http://ir.uiowa.edu/etd/169.

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Books on the topic "The amount of smoothing"

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Härdle, Wolfgang. Smoothing Techniques. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-4432-5.

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Wand, M. P., and M. C. Jones. Kernel Smoothing. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-4493-1.

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C, Jones M., ed. Kernel smoothing. Chapman & Hall, 1995.

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Caballero, Ricardo J. Smoothing sudden stops. Massachusetts Institute of Technology, Dept. of Economics, 2001.

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Hirukawa, Masayuki. Asymmetric Kernel Smoothing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5466-2.

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Schimek, Michael G., ed. Smoothing and Regression. John Wiley & Sons, Inc., 2000. http://dx.doi.org/10.1002/9781118150658.

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Caballero, Ricardo J. Smoothing sudden stops. National Bureau of Economic Research, 2001.

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Koenker, Roger W. Quantile smoothing splines. College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1992.

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Koenker, Roger W. Quantile smoothing splines. College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1991.

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Koenker, Roger W. Quantile smoothing splines. University of Illinois at Urbana-Champaign, 1993.

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Book chapters on the topic "The amount of smoothing"

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Gooch, Jan W. "Smoothing." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15379.

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Weik, Martin H. "smoothing." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17628.

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Hillier, Frederick S., and Bennett L. Fox. "Smoothing." In Strategies for Quasi-Monte Carlo. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5221-5_2.

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Aydede, Yigit. "Smoothing." In Machine Learning Toolbox for Social Scientists. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003381501-9.

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Kitagawa, Genshiro, and Will Gersch. "Nonlinear Smoothing." In Smoothness Priors Analysis of Time Series. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0761-0_15.

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Eggermont, Paul P. B., and Vincent N. LaRiccia. "Smoothing Splines." In Springer Series in Statistics. Springer New York, 2009. http://dx.doi.org/10.1007/b12285_2.

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Gooch, Jan W. "Exponential Smoothing." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15241.

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Gooch, Jan W. "Smoothing Factor." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15380.

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Vishwas, B. V., and Ashish Patel. "Smoothing Methods." In Hands-on Time Series Analysis with Python. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5992-4_3.

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Vamos, Calin, and Maria Craciun. "Noise Smoothing." In SpringerBriefs in Physics. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4825-5_4.

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Conference papers on the topic "The amount of smoothing"

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Ripplinger, Eric, and Yanmin Zhong. "Optimization of High Solids Self-Leveling Epoxy Floor Coatings." In Coatings+ 2020. SSPC, 2020. https://doi.org/10.5006/s2020-00054.

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Abstract High solids epoxy self-leveling coatings are among the most widely used for industrial flooring due to their excellent performance, including aesthetics, durability, and chemical resistance. Epoxy self-leveling floorings are 2K systems consisting of an epoxy resin with fillers and additives and an amine based curing agent. The two part formulations are mixed and then spread over pretreated concrete surfaces, with minimal troweling or smoothing, to give excellent surface properties. This paper describes the optimization of epoxy self-leveling floor formulations to give coatings with ex
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Khairina, Dyna Marisa, Ramlawati, Heliza Rahmania Hatta, Muhammad Rivani Ibrahim, Septya Maharani, and Faisal Yudha Satria. "Decision making model amount of water production with comparison double exponential smoothing and triple exponential smoothing." In INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (ICoBE 2021). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0111583.

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Santosa, Nico, Halim Agung, Teady Matius Surya Mulyana, Lukman Hakim, and Evaria Sipayung. "Forecasting the amount of plywood sales using holt’s double exponential smoothing." In INTERNATIONAL CONFERENCE ON INDUSTRIAL, ENTERPRISE, AND SYSTEM ENGINEERING: Collaboration of Science, Technology, and Innovation Toward Sustainable Development. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0119090.

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Lehmberg, R. H., S. P. Obenschain, and M. Pronko. "Optical beam smoothing techniques for inertial fusion." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.fj1.

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High gain laser fusion requires a highly uniform spherical pellet implosion. For direct drive, the individual optical beams that illuminate the pellet must therefore have smooth and controllable focal profiles. The Naval Research Laboratory has developed two techniques to generate such profiles by introducing a controlled amount of spatial incoherence in the laser; we discuss these, and compare them with related techniques developed at other laboratories.
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Bilgin, Cevat, and Handan Kaynar Bilgin. "The Experience of Turkish Economy on Tax Smoothing." In International Conference on Eurasian Economies. Eurasian Economists Association, 2014. http://dx.doi.org/10.36880/c05.00905.

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Taxes lead a deadweight loss and this deadweight loss increases with the tax rate. The main objective of the government should be deciding the tax rate which minimizes the deadweight loss. The planned tax rate is constant or the expected tax rate is the same as the current tax rate. The ‘random walk test’ of the tax smoothing hypothesis comes out by the fact that changes in the tax rate should be unpredictable. In other words, tax smoothing hypothesis implies that a tax rate has random walk behavior, but this behavior is not sufficient condition for tax smoothing. In this paper, a direct test
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Zheng, Huawen, Guokun Zuo, and Wenwu Zhang. "A New Velocity Estimator for Motion Control Systems." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1066.

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In motion control systems, differentiated position signal is commonly used to estimate velocity, and used for speed feedback control. Position quantization error can result in the amount of noise jamming, which affects system control precision and stability. In this paper, a simple but reliable velocity estimator is proposed to estimate velocity from the measured position. This estimator consists of two parts: a traditional moving-average filter for data smoothing process, and a closed-loop PID controller to compensate the phase lag caused by smoothing process. Simulation and experimental resu
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Suyanto and Reynold Sitorus. "Forecasting the Amount of Cough Drug Productions using Double Exponential Smoothing Brown Method in P.T. Mutiara Mukti Farma 2019." In The International MIPAnet Conference on Science and Mathematics (IMC-SciMath). SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0010182300002775.

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Akgul, Merve, Eyup Ensar Kalayci, Buket Dogan, and Banu Calis Uslu. "Estimation of Domestic Solid Waste Amount with Exponential Smoothing Method and Artificial Neural Network Models: An Application for Istanbul Province." In 2020 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2020. http://dx.doi.org/10.1109/asyu50717.2020.9259821.

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Gadsden, S. Andrew, and Saeid R. Habibi. "Fault Detection of an Electrohydrostatic Actuator With the SVSF Time-Varying Boundary Layer Concept." In ASME/BATH 2013 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fpmc2013-4498.

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The electrohydrostatic actuator (EHA) is an efficient type of actuator commonly used in aerospace applications. It makes use of a closed hydraulic circuit, a number of control valves, an electric motor, and a fluid pump (usually a type of gear pump). The smooth variable structure filter (SVSF) is a relatively new estimation strategy based on sliding mode concepts formulated in a predictor-corrector fashion. The SVSF offers a number of advantages over other traditional estimation methods, including robust and stable estimates, and an additional performance metric. A fixed smoothing boundary lay
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Kroer, Christian, Gabriele Farina, and Tuomas Sandholm. "Smoothing Method for Approximate Extensive-Form Perfect Equilibrium." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/42.

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Nash equilibrium is a popular solution concept for solving imperfect-information games in practice. However, it has a major drawback: it does not preclude suboptimal play in branches of the game tree that are not reached in equilibrium. Equilibrium refinements can mend this issue, but have experienced little practical adoption. This is largely due to a lack of scalable algorithms.Sparse iterative methods, in particular first-order methods, are known to be among the most effective algorithms for computing Nash equilibria in large-scale two-player zero-sum extensive-form games. In this paper, we
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Reports on the topic "The amount of smoothing"

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Legal, Diego, and Eric R. Young. Consumer Bankruptcy and Unemployment Insurance. Federal Reserve Bank of Cleveland, 2024. http://dx.doi.org/10.26509/frbc-wp-202409.

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We quantitatively evaluate the effects of UI on bankruptcy in an equilibrium model of labor market search and defaultable debt. First, we ask whether a standard unsecured credit model extended with labor market search and matching frictions can account for the negative correlation between UI caps and bankruptcy rates observed in the data. The model can account for this fact only if estimated with the employment rate among bankruptcy filers as a target. Not matching this employment rate underestimates the consumption smoothing benefits of UI cap increases, as the model assigns too much importan
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Hundtofte, Sean, Arna Olafsson, and Michaela Pagel. Credit Smoothing. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26354.

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Allen, Donald S. Seasonal Production Smoothing. Federal Reserve Bank of St. Louis, 1999. http://dx.doi.org/10.20955/wp.1999.004.

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Caballero, Ricardo, and Arvind Krishnamurthy. Smoothing Sudden Stops. National Bureau of Economic Research, 2001. http://dx.doi.org/10.3386/w8427.

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Baugh, Brian, Itzhak Ben-David, Hoonsuk Park, and Jonathan Parker. Asymmetric Consumption Smoothing. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w25086.

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Barro, Robert. Interest-Rate Smoothing. National Bureau of Economic Research, 1988. http://dx.doi.org/10.3386/w2581.

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Schoenwald, David A. PV Smoothing Duty Cycle. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1529051.

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Luettgen, Mark R., and Alan S. Willsky. Multiscale Smoothing Error Models. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada459332.

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Swanson, David. Tree investigations in the Noatak National Preserve, Alaska, 2011?2022: Old-growth and new forests. National Park Service, 2023. http://dx.doi.org/10.36967/2301700.

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Tree rings in the Noatak National Preserve provide information about the growth of trees at the cold limit of tree survival in northwestern North America. The present study was based on cores and other tree measurements (tree basal area, height, and number per unit area) of white spruce (Picea glauca) and balsam poplar (Populus balsamifera) trees taken from 39 permanent monitoring plots (34 with coreable trees) at three locations in the Preserve. The tree rings widths were measured and then normalized using a 50-year smoothing spline to remove the effects of growth variations through the life
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West, Kenneth. Order Backlogs and Production Smoothing. National Bureau of Economic Research, 1987. http://dx.doi.org/10.3386/w2385.

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