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로봇 사이버나이프에서 위치인식시스템을 이용한 Targeting Error값 보정의 정확성 평가
정영준,정재홍,임광채,조은주,Jeong, Young-Joon,Jung, Jae-Hong,Lim, Kwang-Chae,Cho, Eun-Ju 대한방사선치료학회 2009 대한방사선치료학회지 Vol.21 No.1
Purpose: The purpose is to evaluate the accuracy of correcting the targeting error through the Target Location System (TLS) for the location change error of the reference point which arises from the movement or motion of patient during the treatment using the CyberKnife. Materials and Methods: In this test, Gafchromic MD-55 film was inserted into the head and neck phantom to analyze the accuracy of the targeting, and then the 6 MV X-ray of CyberKnife (CyberKnife Robotic Radiosurgery System G4, Accuray, US) was irradiated. End to End (E2E) program was used to analyze the accuracy of targeting, which is provided by Accuray Corporation. To compute the error of the targeting, the test was carried out with the films that were irradiated 12 times by maintaining the distance within the rage of $0{\pm}0.2\;mm$ toward x, y, z from the reference point and maintaining the angle within the rage of $0{\pm}0.2^{\circ}$ toward roll, pitch, yaw, and then with the films which were irradiated 6 times by applying intentional movement. And the correlation in the average value of the reference film and the test film were analyzed through independent samples t-test. In addition, the consistency of dose distribution through gamma-index method (dose difference: 3%) was quantified, compared, and analyzed by varying the distance to agreement (DTA) to 1 mm, 1.5 mm, 2 mm, respectively. Results: E2E test result indicated that the average error of the reference film was 0.405 mm and the standard deviation was 0.069 mm. The average error of the test film was 0.413 mm with the standard deviation of 0.121 mm. The result of independent sampling t-test for both averages showed that the significant probability was P=0.836 (confidence level: 95%). Besides, by comparing the consistency of dose distribution of DTA through 1 mm, 1.5 mm, 2 mm, it was found that the average dose distribution of axial film was 95.04%, 97.56%, 98.13%, respectively in 3,314 locations of the reference film, consistent with the average dose distribution of sagittal film that was 95.47%, 97.68%, 98.47%, respectively. By comparing with the test film, it was found that the average dose distribution of axial film was 96.38%, 97.57%, 98.04%, respectively, at 3,323 locations, consistent with the average dose distribution of sagittal film which was 95.50%, 97.87%, 98.36%, respectively. Conclusion: Robotic CyberKnife traces and complements in real time the error in the location change of the reference point caused by the motion or movement of patient during the treatment and provides the accuracy with the consistency of over 95% dose distribution and the targeting error below 1 mm.
지도학습 알고리즘 기반 3D 노지 작물 구분 모델 개발
정영준 ( Jeong Young-joon ),이종혁 ( Lee Jong-hyuk ),이상익 ( Lee Sang-ik ),오부영 ( Oh Bu-yeong ),( Ahmed Fawzy ),서병훈 ( Seo Byung-hun ),김동수 ( Kim Dong-su ),서예진 ( Seo Ye-jin ),최원 ( Choi Won ) 한국농공학회 2022 한국농공학회논문집 Vol.64 No.1
3D open-field farm model developed from UAV (Unmanned Aerial Vehicle) data could make crop monitoring easier, also could be an important dataset for various fields like remote sensing or precision agriculture. It is essential to separate crops from the non-crop area because labeling in a manual way is extremely laborious and not appropriate for continuous monitoring. We, therefore, made a 3D open-field farm model based on UAV images and developed a crop segmentation model using a supervised machine learning algorithm. We compared performances from various models using different data features like color or geographic coordinates, and two supervised learning algorithms which are SVM (Support Vector Machine) and KNN (K-Nearest Neighbors). The best approach was trained with 2-dimensional data, ExGR (Excess of Green minus Excess of Red) and z coordinate value, using KNN algorithm, whose accuracy, precision, recall, F1 score was 97.85, 96.51, 88.54, 92.35% respectively. Also, we compared our model performance with similar previous work. Our approach showed slightly better accuracy, and it detected the actual crop better than the previous approach, while it also classified actual non-crop points (e.g. weeds) as crops.
이준희,윤상집,정영준,최원호,Lee, Joon-Hee,Yoon, Sang-Jib,Jeong, Young-Jun,Choi, Won-Ho 대한물리치료과학회 2002 대한물리치료과학회지 Vol.9 No.3
knee injuries are among the most common problems confronting patients, physical therapist and physicians. since the bony structure provides little stability, the soft tissues are required to withstand high forces, often resulting in tissue overload and injury immobilization of the knee in the presence of a hemarthrosis usually leads to proliferation of intraarticular connective tissue adhesions and pint fibrosis. the physical basis of treating scar tissue is early controlled motion. the management of the knee with increased instability is to strengthening the muscles to properly treat an soft tissue injuries, physical therapist should know about the anatomic structures and biomechanical function of the knee joint, in this review article, we discuss the physiologic properties of soft tissue, biomechanical observation in fibrous connective tissue, managing soft tissue contractures, principles in treating scar tissue and treatment of the knee with increased instability.
Plasma Discharge Initiation of Explosives in Rock Blasting Application
채재우(Jae-Ou Chae),푸치코프 발렌틴(Poutchkov V M),정영준(Jeong Young-Jun),바이쿤타차 라비(V Ravi),최인철(In-Chul Choi),이창민(Chang Min Lee),곽용환(Yong-Hwan Kwak),구형준(Hyung-Joon Koo),쉬멜레프(Shmelev V M),데니쉐프(Denicaev A.A),김남수(Kim 대한기계학회 2005 대한기계학회 춘추학술대회 Vol.2005 No.5
The reliable plasma discharge initiation system for the explosive volumetric combustion charge has been designed, investigated and developed for the practical application. Laboratory scale experiments were carried out before conducting the large scale field tests. The resultant explosions gave rise to less noise, no seismic vibration and good specific explosive consumption for rock blasting. Importantly, the technique was found to be safe and environmental friendly.