BITE: A Bayesian Intensity Estimator

2003 ◽  
Vol 18 (3-4) ◽  
pp. 565-583 ◽  
Author(s):  
Tommi Härkänen
Keyword(s):  
Intensity Estimator

scholarly journals Steering Acoustic Intensity Estimator Using a Single Acoustic Vector Hydrophone

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Guang Pu Zhang ◽  
Ce Zheng ◽  
Wang Sheng Lin
Keyword(s):  
Signal To Noise Ratio ◽  
Azimuth Angle ◽  
Acoustic Energy ◽  
Multiple Sources ◽  
Acoustic Intensity ◽  
Angle Estimation ◽  
Sea Trial ◽  
Vector Hydrophone ◽  
Global Positioning ◽  
Intensity Estimator

Azimuth angle estimation using a single vector hydrophone is a well-known problem in underwater acoustics. In the presence of multiple sources, a conventional complex acoustic intensity estimator (CAIE) cannot distinguish the azimuth angle of each source. In this paper, we propose a steering acoustic intensity estimator (SAIE) for azimuth angle estimation in the presence of interference. The azimuth angle of the interference is known in advance from the global positioning system (GPS) and compass data. By constructing the steering acoustic energy fluxes in the x and y channels of the acoustic vector hydrophone, the azimuth angle of interest can be obtained when the steering azimuth angle is directed toward the interference. Simulation results show that the SAIE outperforms the CAIE and is insensitive to the signal-to-noise ratio (SNR) and signal-to-interference ratio (SIR). A sea trial is presented that verifies the validity of the proposed method.

scholarly journals The Confidence Interval of the Estimator of the Periodic Intensity Function in the Presence of Power Function Trend on the Nonhomogeneous Poisson Process

CAUCHY ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 73-83
Author(s):  
Ikhsan Maulidi ◽  
Bonno Andri Wibowo ◽  
Nina Valentika ◽  
Muhammad Syazali ◽  
Vina Apriliani
Keyword(s):  
Confidence Interval ◽  
Stochastic Processes ◽  
Poisson Process ◽  
Power Function ◽  
Intensity Function ◽  
Nonhomogeneous Poisson Process ◽  
Constructive Proof ◽  
Power Functions ◽  
Periodic Intensity ◽  
Intensity Estimator

The nonhomogeneous Poisson process is one of the most widely applied stochastic processes. In this article, we provide a confidence interval of the intensity estimator in the presence of a periodic multiplied by trend power function. This estimator's confidence interval is an application of the formulation of the estimator asymptotic distribution that has been given in previous studies. In addition, constructive proof of the convergent in probability has been provided for all power functions.

Active Contours and a Background Intensity Estimator for Analysis of Microarray Spots

2005 ◽  
pp. 385-389
Author(s):  
M. Katzer ◽  
K. Horvay ◽  
H. Küster ◽  
J. Landgrebe ◽  
S. Loop ◽  
...  
Keyword(s):  
Active Contours ◽  
Background Intensity ◽  
Intensity Estimator

scholarly journals A Control-Oriented Knock Intensity Estimator

2017 ◽  
Vol 10 (4) ◽  
pp. 2219-2229 ◽  
Author(s):  
Enrico Corti ◽  
Claudio Forte ◽  
Gian Marco Bianchi ◽  
Lorenzo Zoffoli
Keyword(s):  
Intensity Estimator

scholarly journals Spatial analysis of traffic accidents involving older adults in a city in the northeast of Brazil

2020 ◽  
Vol 23 (6) ◽  
Author(s):  
Betise Mery Alencar Sousa Macau Furtado ◽  
Cristine Vieira do Bonfim ◽  
Carmela Lilian Espósito de Alencar Fernandes ◽  
Jacicleide Alves Oliveira ◽  
Aline Galdino Soares da Silva
Keyword(s):  
Older Adults ◽  
Traffic Accidents ◽  
Cross Sectional Study ◽  
Male Victims ◽  
Cross Sectional ◽  
Data Source ◽  
Day Of The Week ◽  
Intensity Estimator ◽  
Epidemiological Characteristics ◽  
The City

Abstract Objective: to describe the epidemiological characteristics of traffic accidents involving older victims, responded to by the Mobile Emergency Service (or SAMU), and to analyze the spatial distribution of these events in the city of Olinda, Pernambuco, Brazil, from 2015 to 2018. Method: a composite cross-sectional study was performed, using SAMU service records as a data source. Descriptive statistics were applied, based on frequency distribution. For the mapping and detection of spatial clusters, the Kernel intensity estimator was used. Results: SAMU responded to 137 traffic accidents with older victims. The most affected age group were older adults aged 60 to 69 years (81; 59.1%), and there was a predominance of male victims (90; 65.7%). The day of the week when most accidents occurred was Wednesday (29; 21.25%), and the highest number of accidents occurred in the morning (46; 33.6%). As for the nature of the accident, accidents involving pedestrians (80; 58.4) predominated over collisions (57; 41.6%). The Kernel intensity estimator identified a significant focus in the Peixinhos neighborhood, with other foci distributed throughout the coastal area. Conclusion: the study identified the characteristics of older victims of traffic accidents and areas of greatest risk for their occurrence in the city studied. This information can be useful when planning environmental engineering measures to be carried out in the regions identified, in order to reduce the frequency of accidents and injuries.

Detection of faulty high speed wind turbine bearing using signal intensity estimator technique

Wind Energy ◽  
2017 ◽  
Vol 21 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Mohamed Elforjani ◽  
Suliman Shanbr ◽  
Eric Bechhoefer
Keyword(s):  
Wind Turbine ◽  
Signal Intensity ◽  
High Speed ◽  
Turbine Bearing ◽  
Intensity Estimator
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