ScanTech 2005:
The 11th International Conference on Scanning Technology
and Process Optimization for the Wood Industry

 
TREASURE ISLAND
3300 Las Vegas Boulevard South
Las Vegas, NV 89109. USA
Tel: 800-944-7444; 702-894-7444;
FAX: 702-894-7446
 
July 25-26, 2005
 

CONFERENCE PROGRAM

 
Sunday, July 24   --   5:00 - 8:00 p.m.

Registration, Welcoming Reception, Exhibits

 
Monday, July 25   --   8:30 a.m. - 5:00 p.m.

Welcome and Introduction
R. Szymani, Wood Machining Institute, Berkeley, California, USA.

 
SESSION 1: Log Scanning for Automatic Sorting and Cutting Process Optimization

Simulation of Industrial X-ray Log Scanners for Feasibility of Automatic Sorting of Aspen (Populus tremuloides Michx.) Sawlogs Using Computed Tomography (CT) Images Obtained from a High Energy X-ray CT scanner. Sencer Alkan and Derek Goudie, Forintek Canada Corp., Vancouver, B.C., Canada

An Interactive Machine-Learning Approach for Defect Detection in Computed Tomography Images of Hardwood Logs. Erol Sarigul and A. Lynn Abbott, Bradley Department of Electrical and Computer Engineering Virginia Tech, Blacksburg, VA; Daniel L. Schmoldt, USDA Cooperative State Research, Education, and Extension Service (CSREES), Washington, DC, and Philip A. Araman, USDA Forest Service, Southern Research Station, Blacksburg, VA

CT Imaging and Detection of Wet-Wood Zones in Subalpine Fir (Abies Lasiocarpa [Hook] Nutt) Stems Using CT Images Obtained From a Newly Designed High X-Ray Energy Industrial CT Scanner. Sencer Alkan and Felix Lam, Forintek Canada Corp., Vancouver, B.C., Canada

Knot Detection with the Through-Log Density Detector. Philip H. Steele, Professor, Jerome Cooper and Brian Mitchell, Research Associates Department of Forest Products, Mississippi State University, Mississippi State, MS

Detection of Compression Wood in Sitka Spruce Logs and Boards, and Predicting its Effect. T Reynolds, K Liu, G Moore, K Maun - Building Research Establishment Ltd, England

Determining the Value in Lumber Production of X-ray CT Log Scanning for Internal Defects through Hardwood Log Sawing Optimization with TOPSAW. Sun Joseph Chang, Professor, School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA

 
SESSION 2: Optimizing Grade Recovery of Lumber and Cut Stock Systems

The Best Recovery with the Best Optimization Solutions: Grade Expert - Planermill Grade Optimizer and Comact Trimmer System Rot Detector. Yvon Hubert, P. Eng., General Manager, Optimization Group, Comact, Inc, Quebec, QC, Canada

Stress Grading Lumber by a Combination of Vibration Stress Waves and X-ray Scanning. Federico Giudiceandrea, Dr.-Ing. & CEO, MiCROTEC GmbH, Brixen (BZ), Italy

Optimization and Grade Scanning of Lumber Defects for Planer Mill and Edger Applications Utilizing High Speed Lineal True Color Camera Scanning. Ian Bowman, President, Softac System Ltd., Surrey, BC, Canada

 
Tuesday, July 26   --   8:30 a.m. - 5:00 p.m.

SESSION 2: Optimizing Grade Recovery of Lumber and Cut Stock Systems (cont'd)

Color Measurements for Durability Prediction of Larch Heartwood. Alfred Rinnhofer, Wanda Benesova, Joanneum Research, Institute of Digital Image Processing, Graz, Austria

Automated Heartwood Detection and Optimization of the Manufacturing of Heartwood Components. Arto Usenius, Tiecheng Song and Pieti Marjavaara, VTT Technical Research Center, Finland

Hardwood Lumber Grading and Process Evaluation System Test Results. Sang-Mook Lee, Bradley Department of Electrical and Computer Engineering; Philip A. Araman, USDA Forest Service, Southern Research Station; A. Lynn Abbott, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA; Daniel L. Schmoldt, USDA Cooperative State Research, Education, and Extension Service (CSREES), Washington, DC; Matt Winn, USDA Forest Service, Southern Research Station, Brooks Forest Products Center, Virginia Tech, Blacksburg, VA

The Computer Grading of Lumber for Appearance. Xiaofeng Wang, Graduate Research Assistant, Department of Computer Science, Charles C. Brunner, Associate Professor, James W. Funck, Associate Professor, and James E. Reeb, Associate Professor, Department of Wood Science & Engineering, Oregon State University, Corvallis, Oregon

Multiple Technology DataFusion for Auto-grading of Lumber; Better than the Human Eye? Carl Flatman and Chris Wells, Sensor & Technology Leaders, Coe Newnes/McGehee, Salmon Arm, BC, Canada

Borealscantm: CRIQ’s Endline Achievement in Vision and Rough Mill Process Optimization Technologies. Martin Caron, Centre de Recherche Industrielle du Québec (CRIQ), Canada

Scanning and Processing of Trim Blocks for Profit. Sandy Mullin, President, Barr-Mullin, Inc., Raleigh, NC

Exploring the Development of a Particleboard Surface Roughness Classification System. P. Radziszewski and J.P. Bruner, Department of Mechanical Engineering, McGill University, Montreal, Quebec, Canada

 

EXHIBITS

The exhibit area will be open from 5 to 8 p.m. on Sunday July 24, from 8 a.m. to 6 p.m. on Monday July 25th, and from 8 a.m. to 3:30 p.m. on Tuesday, July 26th.

 

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________________________________________________________

Wood Machining Institute
P.O. Box 476
Berkeley, CA 94701 USA
Tel: 1-925-943-5240; Fax: 1-925-945-0947
e-mail: szymani@woodmachining.com
www.woodmachining.com