Tools

LEADER 02905cam 2200433Ia 4500

001 ocm70159663;

003 OCoLC;

005 20141211230938.0;

008 060622s2005 ncua b f000 0 eng d;

035 a| (Sirsi) o70159663;

035 a| (OCoLC)70159663;

040 a| OREc| OREd| EREd| UtOrBLW;

049 a| ERE#;

086 0 a| A 13.88:SRS-79;

090 a| SD144.A15b| G461 no.79;

100 1 a| Winn, Matthew F.=| ^A1041151;

245 10 a| ALOG user's manual :b| a guide to using the spreadsheet-based Artificial Log Generator /c| Matthew F. Winn, Philip A. Araman, and Randolph H. Wynne.;

260 a| Asheville, NC :b| USDA Forest Service, Southern Research Station,c| [2005];

300 a| iii, 13 pages :b| illustrations ;c| 28 cm.;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

490 1 a| General technical report SRS ;v| 79;

500 a| "March 2005.";

504 a| Includes bibliographical references (p. 8).;

520 3 a| "Computer programs that simulate log sawing can be valuable training tools for sawyers, as well as a means of testing different sawing patterns. Most available simulation programs rely on diagrammed-log databases, which can be very costly and time consuming to develop. Artificial Log Generator (ALOG) is a user-friendly Microsoft® Excel®-based program that accurately generates random, artificial-log data. The program's design is based on information from an analysis of real red oak (Quercus rubra L.) logs, which ensures the validity of the data. Information about generated-log features includes length, small- and large end inside-bark diameters, amount of sweep or crook, and defects. External defect attributes include type, location, length, width, and height. Some internal defect information, including depth, volume, and angle, is also given for the most common defect types. The user can either specify the log's grade and its position in the tree, or have the program randomly draw features from known distributions. Finally, the program incorporates a grading algorithm to check the grade of the generated log. This user's guide provides all the information necessary to install and run ALOG, and to interpret program output."--P. [1].;

530 a| Also available on the World Wide Web.;

650 0 a| Sawingx| Computer simulation.=| ^A367238;

650 0 a| Quercus rubra.=| ^A447427;

700 1 a| Araman, Philip A.=| ^A450639;

700 1 a| Wynne, Randolph H.=| ^A1054720;

710 1 a| United States.b| Forest Service.b| Southern Research Station.=| ^A407095;

830 0 a| General technical report SRSv| 79.=| ^A420612;

856 41 u| https://purl.fdlp.gov/GPO/LPS64086z| Connect to this title online;

994 a| C0b| ERE;

998 a| 1273306;

998 a| u1273306;

596 a| 1;

999 a| A 13.88:SRS-79w| SUDOCc| 1i| 30372014140336d| 11/30/2007l| JDOSm| JOYNERr| Ys| Yt| JDOSBKu| 11/30/2007x| BOOKz| JFEDDOCSo| .STAFF. 0;

ALOG user's manual : a guide to using the spreadsheet-based Artificial Log Generator / Matthew F. Winn, Philip A. Araman, and Randolph H. Wynne.

Author/creator	Winn, Matthew F.
Other author	Araman, Philip A.
Other author	Wynne, Randolph H.
Other author	United States. Forest Service. Southern Research Station.
Format	Book
Publication Info	Asheville, NC : USDA Forest Service, Southern Research Station, [2005]
Description	iii, 13 pages : illustrations ; 28 cm.
Supplemental Content	Connect to this title online
Subjects	Sawing--Computer simulation. Quercus rubra.

Series	General technical report SRS ; 79 General technical report SRS 79. ^A420612
Summary	"Computer programs that simulate log sawing can be valuable training tools for sawyers, as well as a means of testing different sawing patterns. Most available simulation programs rely on diagrammed-log databases, which can be very costly and time consuming to develop. Artificial Log Generator (ALOG) is a user-friendly Microsoft® Excel®-based program that accurately generates random, artificial-log data. The program's design is based on information from an analysis of real red oak (Quercus rubra L.) logs, which ensures the validity of the data. Information about generated-log features includes length, small- and large end inside-bark diameters, amount of sweep or crook, and defects. External defect attributes include type, location, length, width, and height. Some internal defect information, including depth, volume, and angle, is also given for the most common defect types. The user can either specify the log's grade and its position in the tree, or have the program randomly draw features from known distributions. Finally, the program incorporates a grading algorithm to check the grade of the generated log. This user's guide provides all the information necessary to install and run ALOG, and to interpret program output."--P. [1].
General note	"March 2005."
Bibliography note	Includes bibliographical references (p. 8).
Other forms	Also available on the World Wide Web.
Govt. docs number	A 13.88:SRS-79

ALOG user's manual : a guide to using the spreadsheet-based Artificial Log Generator / Matthew F. Winn, Philip A. Araman, and Randolph H. Wynne.

Click here for more information about this title