Acoustic Communications 2011 Experiment: Deployment Support and Post Experiment Data Handling and Analysis

10.21236/ada575006 ◽

2012 ◽

Author(s):

James Preisig

Keyword(s):

Data Handling ◽

Experiment Data ◽

Acoustic Communications

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Hydraulic Torque Converter’s Performance Analysis Based on Neural-Fuzzy System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.71-78.2002 ◽

2011 ◽

Vol 71-78 ◽

pp. 2002-2005

Author(s):

Guo Fu Tian ◽

Ke Qiang Feng ◽

Shu Hui Sun

Keyword(s):

Data Processing ◽

Fuzzy System ◽

Original Data ◽

Torque Converter ◽

Data Handling ◽

Experiment Data ◽

Processing Ability ◽

Hydraulic Torque Converter ◽

Experiment Analysis ◽

Neural Fuzzy

Aimed at the need of data processing and analysis in the performance experiment of hydraulic torque converter, we put forward a way of experiment data analysis using neural-fuzzy system. It can reduce manual participation, improve the data processing ability, accelerate computing velocity and realize data handling automation. We can judge product’s performance by this method. The use in experiment data indicates that it can express the relation of original data nicely. The identifying accuracy of data is good. It can satisfy the request of experiment analysis and the analytical conclusion is accurate too.

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Statistical channel modeling of wireless shallow water acoustic communications from experiment data

2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE ◽

10.1109/milcom.2010.5680323 ◽

2010 ◽

Cited By ~ 20

Author(s):

Jian Zhang ◽

Jesse Cross ◽

Yahong Rosa Zheng

Keyword(s):

Shallow Water ◽

Channel Modeling ◽

Experiment Data ◽

Acoustic Communications ◽

Statistical Channel Modeling

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ADAPTIVE BEAMFORMING FOR ACOUSTIC COMMUNICATIONS

Le Journal de Physique Colloques ◽

10.1051/jphyscol:19902163 ◽

1990 ◽

Vol 51 (C2) ◽

pp. C2-699-C2-702

Author(s):

G. S. HOWE ◽

O. R. HINTON ◽

A. E. ADAMS ◽

A. G.J. HOLT

Keyword(s):

Adaptive Beamforming ◽

Acoustic Communications

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Data Management in an Epidemiological Study : Experiences from the Iowa 500 Field Follow-up and Family Study

Methods of Information in Medicine ◽

10.1055/s-0038-1635156 ◽

1980 ◽

Vol 19 (01) ◽

pp. 37-41

Author(s):

R. F. Woolson ◽

M. T. Tsuang ◽

L. R. Urban

Keyword(s):

Data Management ◽

Epidemiological Study ◽

Family Study ◽

Data Sets ◽

Data Handling ◽

Management Decisions ◽

Numerous Data ◽

Made In

We are now conducting a forty-year follow-up and family study of 200 schizophrenics, 325 manic-depressives and 160 surgical controls. This study began in 1973 and has continued to the present date. Numerous data handling and data management decisions were made in the course of collecting the data for the project. In this report some of the practical difficulties in the data handling and computer management of such large and bulky data sets are enumerated.

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NUMERICAL MODEL TO SIMULATE THE EROSION ON THE SLOPE DUE TO OVERTOPPING

Science and Technology Development Journal ◽

10.32508/stdj.v13i3.2156 ◽

2010 ◽

Vol 13 (3) ◽

pp. 78-87

Author(s):

Hoai Cong Huynh

Keyword(s):

Numerical Model ◽

Flow Model ◽

Bed Load ◽

Experiment Data ◽

Step Method ◽

Morphological Model ◽

Load Transport ◽

Bed Load Transport ◽

The Finite Difference Method ◽

Good Agreement

The numerical model is developed consisting of a 1D flow model and the morphological model to simulate the erosion due to the water overtopping. The step method is applied to solve the water surface on the slope and the finite difference method of the modified Lax Scheme is applied for bed change equation. The Meyer-Peter and Muller formulae is used to determine the bed load transport rate. The model is calibrated and verified based on the data in experiment. It is found that the computed results and experiment data are good agreement.

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