Simulations and field test results for potential applications of LV DC distribution network to reduce flicker effect

2010 ◽  
Author(s):  
Vincenzo Musolino ◽  
Luigi Piegari ◽  
Enrico Tironi ◽  
Luciano Martini ◽  
Alessandro Brambilla ◽  
...  
Keyword(s):  
Field Test ◽  
Distribution Network ◽  
Test Results ◽  
Dc Distribution ◽  
Potential Applications ◽  
Flicker Effect

Determination of Deflection of the Vertical by the Astrogeodetic Difference Method

1982 ◽  
Vol 36 (2) ◽  
pp. 183-190
Author(s):  
W. F. Teskey
Keyword(s):  
Field Test ◽  
Difference Method ◽  
Systematic Errors ◽  
Cost Estimate ◽  
New Method ◽  
Test Results ◽  
Deflection Of The Vertical ◽  
Potential Applications

In certain survey applications the effect of deflection of the vertical cannot be ignored without producing large systematic errors. To avoid this problem some method of determining deflection, or change in deflection, must be used. A new method to determine change in deflection, the astrogeodetic difference method, is described. Field test results confirming the accuracy of the method are given. A cost estimate is made and potential applications are briefly discussed.

Long Term Field Test Results of Experimental EPDM and PUF Roofing

1990 ◽  
Author(s):  
David M. Bailey ◽  
Stuart D. Foltz ◽  
Myer J. Rosenfield
Keyword(s):  
Field Test ◽  
Test Results ◽  
Term Field

scholarly journals Research on power exchange flexibility optimization of urban AC/DC distribution network

2021 ◽  
Vol 1871 (1) ◽  
pp. 012012
Author(s):  
Ke Sun ◽  
Gangjin Ye ◽  
Xuan Yang ◽  
Hua Weng ◽  
Xiran Wang ◽  
...  
Keyword(s):  
Distribution Network ◽  
Dc Distribution ◽  
Power Exchange

Fish Attraction with Pulsed Low-Frequency Sound

1968 ◽  
Vol 25 (7) ◽  
pp. 1441-1452 ◽  
Author(s):  
Joseph D. Richard
Keyword(s):  
Acoustic Stimulus ◽  
Low Frequency ◽  
Reef Fishes ◽  
Test Site ◽  
Acoustic Signals ◽  
Commercial Fisheries ◽  
Test Results ◽  
Potential Applications ◽  
Predatory Fishes ◽  
Underwater Television

A series of tests were conducted to determine the effectiveness of pulsed low-frequency acoustic signals for attracting fishes. The acoustic signals were contrived to simulate the hydrodynamically generated disturbances normally associated with active predation. Underwater television was used to observe fish arrivals during both control and test periods. Demersal predatory fishes were successfully attracted although they habituated rapidly to the acoustic stimulus. Members of the families Serranidae, Lutjanidae, and Pomadasyidae were particularly well represented among the fishes attracted. Sharks were also attracted in considerable numbers. Herbivorous reef fishes, although common around the test site, were not attracted. Possible relationships between the test results and the hearing capabilities of fishes are discussed. It is concluded that acoustic attraction techniques have potential applications in certain existing commercial fisheries.

scholarly journals Estimation of Outdoor PM2.5 Infiltration into Multifamily Homes Depending on Building Characteristics Using Regression Models

2021 ◽  
Vol 13 (10) ◽  
pp. 5708
Author(s):  
Bo-Ram Park ◽  
Ye-Seul Eom ◽  
Dong-Hee Choi ◽  
Dong-Hwa Kang
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Field Test ◽  
Outer Surface ◽  
Regression Models ◽  
Field Tests ◽  
Test Results ◽  
Correlation And Regression Analysis ◽  
Building Characteristics ◽  
Pm2.5 Concentration

The purpose of this study was to evaluate outdoor PM2.5 infiltration into multifamily homes according to the building characteristics using regression models. Field test results from 23 multifamily homes were analyzed to investigate the infiltration factor and building characteristics including floor area, volume, outer surface area, building age, and airtightness. Correlation and regression analysis were then conducted to identify the building factor that is most strongly associated with the infiltration of outdoor PM2.5. The field tests revealed that the average PM2.5 infiltration factor was 0.71 (±0.19). The correlation analysis of the building characteristics and PM2.5 infiltration factor revealed that building airtightness metrics (ACH50, ELA/FA, and NL) had a statistically significant (p < 0.05) positive correlation (r = 0.70, 0.69, and 0.68, respectively) with the infiltration factor. Following the correlation analysis, a regression model for predicting PM2.5 infiltration based on the ACH50 airtightness index was proposed. The study confirmed that the outdoor-origin PM2.5 concentration in highly leaky units could be up to 1.59 times higher than that in airtight units.

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