Temat: estimation experiment

Skocz do pozycji: 1.

Tytuł:: Estimation of next human action and its timing based on the human action model considering time series information of the situation
Autorzy:: Hashimoto, K.
Doki, K.
Doki, S.
Tematy:: human action model
If-then-Rule
discrete event
time series
estimation method
estimation experiment; Pokaż więcej
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Powiązania:: https://bibliotekanauki.pl/articles/91822.pdf Link otwiera się w nowym oknie
Opis:: In order to realize a system that supports human actions timely, the system must have a certain model of human actions. Therefore, we propose a modeling method of human actions. In this method, it is supposed that a person changes his action according to the situation around him, and the causality between the situation around a person and the change of a human action is modeled. This causality is expressed by an If-then-Rule style where a human action and the situation around a human are expressed by a discrete event and time series data respectively. Moreover, as the necessary function for human support systems, an estimation method of the next human action and its execution timing is consisted based on the proposed modeling method. The usefulness of the proposed modeling and estimation methods is examined through the estimation experiment of next human action and its execution timing with a radio-controlled vehicle.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 2.

Tytuł:: Quantifying soil hydraulic properties and their uncertainties by modified GLUE method
Autorzy:: Yan, Yifan
Liu, Jianli
Zhang, Jiabao
Zhao, Yongchao
Xiaopeng, Li
Tematy:: soil hydraulic properties
uncertainty
generalized likelihood uncertainty estimation
evaporation experiment; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Powiązania:: https://bibliotekanauki.pl/articles/973010.pdf Link otwiera się w nowym oknie
Opis:: Nonlinear least squares algorithm is commonly used to fit the evaporation experiment data and to obtain the ‘optimal’ soil hydraulic model parameters. But the major defects of nonlinear least squares algorithm include non-uniqueness of the solution to inverse problems and its inability to quantify uncertainties associated with the simulation model. In this study, it is clarified by applying retention curve and a modified generalised likelihood uncertainty estimation method to model calibration. Results show that nonlinear least squares gives good fits to soil water retention curve and unsaturated water conductivity based on data observed by Wind method. And meanwhile, the application of generalised likelihood uncertainty estimation clearly demonstrates that a much wider range of parameters can fit the observations well. Using the ‘optimal’ solution to predict soil water content and conductivity is very risky. Whereas, 95% confidence interval generated by generalised likelihood uncertainty estimation quantifies well the uncertainty of the observed data. With a decrease of water content, the maximum of nash and sutcliffe value generated by generalised likelihood uncertainty estimation performs better and better than the counterpart of nonlinear least squares. 95% confidence interval quantifies well the uncertainties and provides preliminary sensitivities of parameters.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 3.

Tytuł:: Planning identification experiments for cell signaling pathways: An NFκB case study
Autorzy:: Fujarewicz, K.
Tematy:: komórka
ścieżka sygnalizacyjna
projektowanie eksperymentu
estymacja parametrów
cell signaling pathways
experiment design
parameter estimation; Pokaż więcej
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:: https://bibliotekanauki.pl/articles/908137.pdf Link otwiera się w nowym oknie
Opis:: Mathematical modeling of cell signaling pathways has become a very important and challenging problem in recent years. The importance comes from possible applications of obtained models. It may help us to understand phenomena appearing in single cells and cell populations on a molecular level. Furthermore, it may help us with the discovery of new drug therapies. Mathematical models of cell signaling pathways take different forms. The most popular way of mathematical modeling is to use a set of nonlinear ordinary differential equations (ODEs). It is very difficult to obtain a proper model. There are many hypotheses about the structure of the model (sets of variables and phenomena) that should be verified. The next step, fitting the parameters of the model, is also very complicated because of the nature of measurements. The blotting technique usually gives only semi-quantitative observations, which are very noisy and collected only at a limited number of time moments. The accuracy of parameter estimation may be significantly improved by a proper experiment design. Recently, we have proposed a gradient-based algorithm for the optimization of a sampling schedule. In this paper we use the algorithm in order to optimize a sampling schedule for the identification of the mathematical model of the NF[...]B regulatory module, known from the literature. We propose a two-stage optimization approach: a gradient-based procedure to find all stationary points and then pair-wise replacement for finding optimal numbers of replicates of measurements. Convergence properties of the presented algorithm are examined.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 4.

Tytuł:: Development of Turboshaft Engine Adaptive Dynamic Model: Analysis of Estimation Errors
Autorzy:: Yepifanov, Sergiy
Bondarenko, Oleksiy
Tematy:: turbine engine
turboshaft
gas generator
dynamic model
engine time constant
identification
estimation error
design of experiment; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Lotnictwa
Powiązania:: https://bibliotekanauki.pl/articles/36807197.pdf Link otwiera się w nowym oknie
Opis:: One of the most perspective directions of aircraft engine development is related to implementing adaptive automatic electronic control systems (ACS). The significant elements of these systems are algorithms of matching of mathematical models to actual performances of the engine. These adaptive models are used directly in control algorithms and are a combination of static and dynamic sub-models. This work considers the dynamic sub-models formation using the Least Square method (LSM) on a base of the engine parameters that are measured in-flight. While implementing this function in the (ACS), the problem of checking the sufficiency of the used information for ensuring the required precision of the model arises. We must do this checking a priori (to determine a set of operation modes, the shape of the engine test impact and volume of recorded information) and a posteriori. Equations of the engine models are considered. Relations are derived that determine the precision of parameters of these models’ estimation depending on the precision of measurement, the composition of the engine power ratings, and durability of observations, at a stepwise change of fuel flow. We present these relations in non-dimensional coordinates that make them universal and ready for application to any turboshaft engine.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 5.

Tytuł:: Sensor network design for the estimation of spatially distributed processes
Autorzy:: Uciński, D.
Patan, M.
Tematy:: projekt optymalny
estymacja parametrów
sieć sensorowa
identyfikacja źródłowa
optimal experiment design
parameter estimation
sensor network
source identification; Pokaż więcej
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:: https://bibliotekanauki.pl/articles/929585.pdf Link otwiera się w nowym oknie
Opis:: In a typical moving contaminating source identification problem, after some type of biological or chemical contamination has occurred, there is a developing cloud of dangerous or toxic material. In order to detect and localize the contamination source, a sensor network can be used. Up to now, however, approaches aiming at guaranteeing a dense region coverage or satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed phenomena. The present work aims at bridging this gap and meeting the needs created in the context of the source identification problem. We assume that the paths of the moving sources are unknown, but they are sufficiently smooth to be approximated by combinations of given basis functions. This parametrization makes it possible to reduce the source detection and estimation problem to that of parameter identification. In order to estimate the source and medium parameters, the maximum--ikelihood estimator is used. Based on a scalar measure of performance defined on the Fisher information matrix related to the unknown parameters, which is commonly used in optimum experimental design theory, the problem is formulated as an optimal control one. From a practical point of view, it is desirable to have the computations dynamic data driven, i.e., the current measurements from the mobile sensors must serve as a basis for the update of parameter estimates and these, in turn, can be used to correct the sensor movements. In the proposed research, an attempt will also be made at applying a nonlinear model-predictive-control-like approach to attack this issue.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 6.

Tytuł:: Trilateracja z wykorzystaniem nadajników beacon
Trilateration with beacons
Autorzy:: Mruk, Patryk
Opis:: Badanie polegające na próbie połączenia metody nawigacyjnej zwanej trilateracją z estymacją odległości na podstawie sygnału z nadajników beacon.
A study relying on attempt to combine navigation method called trilateration with distance estimation based on beacon transmitters signal.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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