Cumulative Frequency Distributions for Daily Global Illuminance

Solar Energy ◽  
2004 ◽  
Author(s):  
V. V. Satyamurty ◽  
P. RaviKumar
Keyword(s):  
Standard Deviation ◽  
Data Base ◽  
Linear Form ◽  
Large Data ◽  
Cumulative Frequency ◽  
Clearness Index ◽  
Frequency Distributions ◽  
Large Data Base ◽  
Average Value ◽  
Monthly Average

The present article describes the development of cumulative frequency distributions (similar to clearness index distributions) for daily global horizontal illuminance based on the modeled data of 56 US locations. Normalized variables have been employed to account for seasonal and location dependencies. The normalized variables contain the maximum and minimum illuminance values in the array of daily values in addition to the daily illuminance (the variable to be related to cumulative frequency) and the monthly average daily illuminance. The distributions thus developed discrete in terms of the normalized monthly average daily global illuminance have been presented in a convenient linear form which accommodates continuous values for the parameter. When data are not available, the maximum and minimum of the daily values needed in estimating the parameter first and eventually the daily illuminance values have been correlated to other more readily available predictors. Present distributions have been validated by comparing against the daily illuminance values available in the large data base employed. Daily global illuminance has been predicted with a standard deviation of 23.44 klux and rms difference of 4.64%. The present correlations can be conveniently applied to obtain the 30 or 31 daily illuminance values in a month from the monthly average value.

Generation of Hourly Ambient Temperature from Generalized Cumulative Frequency Distributions

2004 ◽  
Vol 126 (2) ◽  
pp. 683-695 ◽  
Author(s):  
V. V. Satyamurty ◽  
P. Ravikumar
Keyword(s):  
Standard Deviation ◽  
Ambient Temperature ◽  
Data Base ◽  
Present Article ◽  
Large Data ◽  
Cumulative Frequency ◽  
Frequency Distributions ◽  
Large Data Base ◽  
Ambient Temperatures ◽  
Monthly Average

The present article is devoted to make available a method to generate hourly ambient temperature values when the monthly average hourly ambient temperature, T¯ah is known. Cumulative frequency distributions for hourly ambient temperature have been developed employing normalized variables. The normalized variables used in the present study contain not only the monthly average hourly ambient temperature but also the maximum, Tah,max, and minimum, Tah,min. In order that the frequency distributions developed in the present study become available for the purpose of calculating hourly ambient temperature when T¯ah only is known, correlations to estimate Tah,max and Tah,min from known parameters have been presented. The ability of the present distributions to generate hourly ambient temperatures during a day has also been established. A large data base of 239 locations has been employed in developing and validating the distributions and the needed additional correlations. The predicted hourly ambient temperature values have been found to be in agreement with data values within a % rms difference of 0.30 (when Tah is in K) and the standard deviation has been found to be 0.85 K. The agreement between the predicted hourly ambient temperatures during a day employing the present distributions and the data values has been excellent.

A two-level architecture for a large data base

1976 ◽  
Vol 10 (4) ◽  
pp. 23-23 ◽  
Author(s):  
Tomas Lang
Keyword(s):  
Data Base ◽  
Large Data ◽  
Large Data Base

Numeric data bases on‐line

Online Review ◽  
1977 ◽  
Vol 1 (3) ◽  
pp. 207-215 ◽  
Author(s):  
James A. Luedke
Keyword(s):  
Data Base ◽  
Distributed Processing ◽  
Large Data ◽  
Training Needs ◽  
Data Bases ◽  
Textual Information ◽  
Large Data Base ◽  
User Training ◽  
On Line ◽  
Numeric Data

The activities that are at present furthering the visibility of numeric data bases and systems are discussed. A tentative estimate of the numbers of existing numeric data bases and systems in various categories of accessibility (on‐line, batch, and remotely accessible) and availability (public, restricted, and in‐house) is made. Numeric data bases and systems are becoming offered by information retrieval services through many of the channels that made bibliographic and textual information systems successful. These include remote accessibility and marketing by large data base vendors. The user community for numeric data bases is generally more restricted, with the possible exception of business and financial numeric data bases. User training needs are generally greater as well. Numeric data bases may nevertheless reach large user audiences with the advent of distributed processing and, ultimately, data base maps which can automatically locate and link together data bases in many locations.

Quetiapine Versus Trazodone in Reducing Rehospitalization for Alcohol Dependence: A Large Data-Base Study

2008 ◽  
Vol 2 (3) ◽  
pp. 128-134 ◽  
Author(s):  
Edward P. Monnelly ◽  
Joseph S. LoCastro ◽  
David Gagnon ◽  
Melissa Young ◽  
Louis D. Fiore
Keyword(s):  
Alcohol Dependence ◽  
Data Base ◽  
Large Data ◽  
Large Data Base ◽  
Base Study

Holographic contouring of fossil teeth

1987 ◽  
Vol 61 (6) ◽  
pp. 1236-1241 ◽  
Author(s):  
Stuart B. Elliott ◽  
William J. Morris
Keyword(s):  
Data Base ◽  
Holographic Interferometry ◽  
Analytical Techniques ◽  
Large Data ◽  
Trend Surface Analysis ◽  
Contour Map ◽  
Trend Surface ◽  
Large Data Base ◽  
Contour Maps ◽  
Very Large Data Base

A method has been developed that uses holographic interferometry to generate contour maps of the occlusional surfaces of fossil teeth. The resulting contour map is, in itself, a valuable descriptive tool. In addition, it provides information for a very large data base, which has been used in trend-surface analysis and Q-mode clustering. As an example, these analytical techniques are applied to a set of Pliocene badger teeth. The same methods can be applied to any paleontological problem dealing with shapes of small objects.

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