An Improved Stochastic Modeling for Bayesian Wave Estimation

2012 ◽  
Author(s):  
Toshio Iseki
Keyword(s):  
Stochastic Modeling ◽  
Bayesian Modeling ◽  
Response Functions ◽  
Modeling Procedure ◽  
Wave Parameters ◽  
The Relationship

A modified Bayesian modeling procedure for wave estimation is proposed. In this method, errors in the estimates of ship response functions can be taken into account. In order to discuss the relationship between the minimum ABIC and the accuracy of the estimated wave parameters, the ABIC surfaces and the optimum area of the wave estimation are shown with respect to the two hyperparameters. As a result, the modified Bayesian modeling makes the ABIC surface smoother and can provide stable wave estimation. This concludes that the modified Bayesian modeling is reliable within a certain accuracy to estimate the wave parameters.

A Study on Akaike’s Bayesian Information Criterion in Wave Estimation

2011 ◽  
Author(s):  
Toshio Iseki
Keyword(s):  
Bayesian Modeling ◽  
Bayesian Information Criterion ◽  
Information Criterion ◽  
Response Functions ◽  
Local Minima ◽  
Normal Response ◽  
Wave Parameters ◽  
Optimum Estimates ◽  
Response Amplitude Operators ◽  
The Relationship

A feasibility study of Bayesian wave estimation was carried out to investigate the relationship between the minimum Akaike’s Bayesian information criterion (ABIC) and the estimated wave parameters. The ship response functions, which were used for the Bayesian wave estimation together with the ship motion cross spectra, were simply modified and compared with the normal response functions in connection with the accuracy of estimated wave parameters. Moreover, the concept of the ABIC surfaces was introduced to investigate the optimum estimates from the stochastic viewpoint and the physical viewpoint. As the result, it was revealed that the minimum ABIC did not always provide the best estimates from the viewpoint of wave estimation and the simply modified response functions could reduce the estimating errors in some cases. The reasons were considered that the estimating error at the sharp peak of response amplitude operators was closely related to existence of the local minima of the ABIC surface and the simply modified response functions had some effects to make the ABIC surface smoother. It is pointed out as the conclusion of this report that any estimating errors of the ship response functions were not considered in the Bayesian modeling.

Modal Analysis of a Utility Bicycle From the Perspective of Riding Comfort

2019 ◽  
Author(s):  
Alberto Doria ◽  
Edoardo Marconi ◽  
Pierluca Cialoni
Keyword(s):  
Modal Testing ◽  
Vibration Modes ◽  
Response Functions ◽  
The Road ◽  
Power Spectral ◽  
Vehicle Structure ◽  
Power Spectral Densities ◽  
On The Road ◽  
The Relationship ◽  
Insight Into

Abstract The correlation between the modal properties and the comfort characteristics of a utility, step-through frame bicycle are investigated. In-plane modal testing of the vehicle is carried out both without and with the rider, and the major differences between the results obtained with the two conditions are highlighted. In order to have an insight into the contribution of the various bicycle components to the transmission of vibrations, the frequency response functions (FRFs) between the main interface points in the vehicle structure are measured and studied. Finally, the modal characteristics are compared with road tests data, emphasizing the relationship between the in-plane vibration modes and the main peaks in the acceleration power spectral densities (PSDs) measured on the road.

scholarly journals Estimation of Impact Loads in a Hydraulic Breaker by Transfer Path Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Changheon Song ◽  
Dae Ji Kim ◽  
Jintai Chung ◽  
Kang Won Lee ◽  
Sang Seuk Kweon ◽  
...  
Keyword(s):  
Path Analysis ◽  
Mechanical Equipment ◽  
Impact Loads ◽  
Response Functions ◽  
Transfer Path ◽  
Transfer Path Analysis ◽  
Strain Gauge Measurements ◽  
The Impact ◽  
Impact Experiments ◽  
The Relationship

The aim of this study is to estimate the impact loads delivered to the housing of a hydraulic breaker quantitatively. Striking forces caused vibrations in the equipment housing, which were experimentally measured, and frequency response functions were also found through modal impact experiments. Transfer path analysis (TPA) method of the data quantified the impact loads delivered to the housing. TPA method can analyze the relationship between the vibration energy and the transfer path of an excitation source and so explore the way in which vibrations on each path contribute to the entire vibration profile. The impact loads of each part derived by TPA method were compared with the impact loads in the chisel derived from strain gauge measurements of the striking energy. This comparison validated the TPA approach. This study describes the basic concepts and components of TPA method and also reviews its applicability to mechanical equipment that experiences impact vibrations and impact loads.

Stochastic Modeling of the Relationship between Copy Number and Gene Expression Based on Transcriptional Logic

2012 ◽  
Vol 59 (1) ◽  
pp. 272-280 ◽  
Author(s):  
Fang-Han Hsu ◽  
Erchin Serpedin ◽  
Yidong Chen ◽  
Edward R. Dougherty
Keyword(s):  
Gene Expression ◽  
Stochastic Modeling ◽  
Copy Number ◽  
The Relationship

Likelihood

2015 ◽  
Author(s):  
N. Thompson Hobbs ◽  
Mevin B. Hooten
Keyword(s):  
Maximum Likelihood ◽  
Probability Distribution ◽  
Bayesian Analysis ◽  
Bayesian Modeling ◽  
Likelihood Function ◽  
Bayesian Framework ◽  
Significant Aspect ◽  
Similarities And Differences ◽  
The Relationship ◽  
Bare Bones

This chapter is an overview of likelihood and maximum likelihood. Likelihood forms the fundamental link between models and data in the Bayesian framework. In addition, maximum likelihood is a widely used alternative to Bayesian methods for estimating parameters in ecological models. Though is possible to learn Bayesian modeling with a bare-bones treatment of likelihood, the chapter emphasizes the importance of this concept in Bayesian analysis. A significant aspect of likelihood within the Bayesian framework can be found in the similarities and differences between Bayesian analysis and analysis based on maximum likelihood. In addition, the chapter also considers the relationship between a probability distribution and a likelihood function.

The relationship of median nerve F-wave parameters with severity and subtypes of carpal tunnel syndrome1

2014 ◽  
Vol 27 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Recep Aygül ◽  
Dilcan Kotan ◽  
Hızır Ulvi ◽  
Mutlu Kuyucu ◽  
Gökhan Özdemir ◽  
...  
Keyword(s):  
Median Nerve ◽  
Carpal Tunnel ◽  
Wave Parameters ◽  
F Wave ◽  
Relationship Of ◽  
The Relationship

scholarly journals The Relationship Between Seismic and Aseismic Slip on the Philippine Fault on Leyte Island: Bayesian Modeling of Fault Slip and Geothermal Subsidence

2020 ◽  
Vol 125 (12) ◽  
Author(s):  
John Dale B. Dianala ◽  
Romain Jolivet ◽  
Marion Y. Thomas ◽  
Yo Fukushima ◽  
Barry Parsons ◽  
...  
Keyword(s):  
Bayesian Modeling ◽  
Fault Slip ◽  
Aseismic Slip ◽  
The Relationship
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