公开(公告)号：US09612875B2

公开(公告)日：2017-04-04

申请号：US14541377

申请日：2014-11-14

Applicant: NATIONAL APPLIED RESEARCH LABORATORIES

Inventor： Ming-Jen Wang ,  Chih-Wen Chang ,  Chuan-Lin Lai ,  Chia-Chen Kuo ,  Jiang-Siang Lian

IPC: G06F9/48 ,  G06F9/50

CPC classification number: G06F9/5061 ,  G06F9/4856 ,  G06F9/5005 ,  G06F9/5027

Abstract: The present invention provides an operational-task-oriented system and method for dynamically adjusting operational environment applicable to a computer cluster. Each operational node of the computer cluster has two or more operational systems installed. After receiving the operational task, the control node estimates the time required for completing different tasks requiring different operational systems by appropriate operational nodes and compares the estimated finish time and the assigned finish time for judging how to adjust the operating system running in the operational nodes. Thereby, the operational task can be completed in the assigned finish time. Another method is to use the control node to analyze the proportions of the tasks requiring different operational systems in an operational task and hence adjusts the operational system running in an operational node according to the proportion of requirement. Thereby, the operational task can be completed in the shortest time.

公开(公告)号：US11875477B2

公开(公告)日：2024-01-16

申请号：US17354188

申请日：2021-06-22

Applicant: NATIONAL APPLIED RESEARCH LABORATORIES

Inventor： Chih-Wei Wang ,  Chuan-Lin Lai ,  Chia-Chen Kuo ,  I-Chen Wu

IPC: G06T5/00 ,  G06T7/00 ,  G06F18/2135

CPC classification number: G06T5/001 ,  G06F18/2135 ,  G06T7/0002 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20021 ,  G06T2207/30168

Abstract: A method for correcting abnormal point cloud is disclosed. Firstly, receiving a Primitive Point Cloud Data set by an operation unit for dividing a point cloud array into a plurality of sub-point cloud sets and obtaining a plurality of corresponding distribution feature data according to an original vector data of the Primitive Point Cloud Data set. Furthermore, recognizing the sub-point cloud sets according to the corresponding distribution feature data for correcting recognized abnormal point cloud. Thus, when the point cloud array is rendered to a corresponding image, the color defect of the point cloud array will be improved or decreased for obtaining lossless of the corresponding image.