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유지훈 ( Ji Hoon Yu ),황인택 ( In Taek Hwang ) 대한산부인과학회 2011 Obstetrics & Gynecology Science Vol.54 No.2
The gynecologists are the primary care physician to women and the breast is an organ of reproduction and reproductive hormones are the most important factors for breast cancer. Therefore it seems logical to accept the position that diseases of the breast are the responsibility of the gynecologists. The breast examination is a part of the through gynecologic examination and the knowledge of the contemporary treatment of breast diseases is an essential components of the current practice of gynecology. In addition to history and physical examination, the gynecologist should be prepared to understand certain diagnostic studies. It seems a logical step that breast cancer patients will be treated by a multidisciplinary team, in which the gynecologist will also take part.
유지훈(Ji-hoon Yoo),유연석(Yeon-Serk Yu) 한국정보기술학회 2013 한국정보기술학회논문지 Vol.11 No.12
This study is experimental work to improve measurement accuracy of Fourier transform profilometry which projects sinusoidal fringe pattern to measure the surface profile shape. In the conventional methods, the image calibration procedures is begin with the measurement of images which are included distortions caused by ccd camera optical system firstly. After then camera calibration data is applied to the images for corrections. Thus, the calibration should be measured every time is a hassle to have. In this study we proposed pre-calibration method for the profilometry. We obtained the ccd camera calibration data using the distorted chessboard patterns. And then calibration data is applied to the reference sinusoidal fringe patterns on the monitor for projection to an object plane. We compared measurement error with theoretical value and analyze when we used sinusoidal grating pattern which is pre-calibration or not. As a result, pre-calibration method showed very impressive results in 70% of area within FOV on object plane, accuracy has been improved 2.57% in case using pre-calibration methods when object plane is displaced 100μm using translation stage.
앙상블 기법을 활용한 무인항공기 수리부속 수요예측 연구
김재동(Jae-Dong Kim),유지훈(Ji-Hoon Yu),최정호(Jung-Ho Choi) 한국산학기술학회 2023 한국산학기술학회논문지 Vol.24 No.2
최근 전략무기체계인 무인항공기에 대한 세계적 관심이 높아지고 있다. 이러한 세계적 흐름에 발맞춰 한국군도 무인항공기 개발을 통해 전투준비태세를 유지하기 위해 노력하고 있다. 무인항공기를 효과적으로 운용하기 위해서는 수리부속 보급 및 정비가 필수적이다. 이를 위해서는 수리부속 수요를 정확히 예측하는 것이 중요하다. 그동안 한국군은 장비정비정보체계의 데이터를 활용하여 몇 가지 시계열 방법을 기반으로 수행하여 왔으나 수리부속 수요예측의 정확성을 향상시키기 위해 개선된 모델이 필요하다. 본 연구에서는 머신러닝 방법 중 앙상블 방법을 활용하여 수리부속 수요예측의 정확도를 높일 수 있는 모델을 제안했다. 머신러닝 방법은 시계열 방법에 비해 많은 정보를 활용하므로 수리부속 수요예측의 정확도를 높일 수 있다. 이를 위해 6년간의 무인항공기 수리부속 소모 데이터를 수집하여 수요예측 모델을 제시하였다. A number of states have focused considerable attention on the strategic value of UAV as a military weapon system. South Korean military has also been making efforts to maintain combat readiness through the development of unmanned aerial vehicles. However, proper and accurate forecasting of maintenance accessories procurement is required for UAV development and deployment, which can eventually contribute to combat readiness. For a long time, the ROK army has used the data set in the equipment maintenance information system to forecast the demand of maintenance subordinates estimated by the several time series method. Nevertheless, more accurate forecasting methods need to be established and implemented. In this study, we applied the ensemble method for military industry demand forecasting, which is performed by the maintenance department. Additionally, we proposed a model to improve the accuracy of the prediction. Since the machine learning method utilizes more information than the time series method, it is expected to improve the accuracy of spare part future demand forecasts. To verify the effectiveness of this novel method, we implemented the demand forecasting classification model utilizing the consumption data of UAV maintenance accessories collected for a period of six years.
마그네슘환원에 의한 C/N 조성제어 초미립 TiC<sub>x</sub>N<sub>y</sub> 분말 합성
이동원,김병기,윤중열,유지훈,김용진,Lee, Dong-Won,Kim, Byoung-Kee,Yun, Jung-Yeul,Yu, Ji-Hoon,Kim, Yong-Jin 한국분말야금학회 2010 한국분말재료학회지 (KPMI) Vol.17 No.2
The ultrafine titanium carbonitride ($TiC_xN_y$) particles below 100 nm in mean size, including various carbon and nitrogen contents (x=0.55~0.9, y=0.1~0.5), were successfully synthesized by new Mg-thermal reduction process. Nanostructured sub-stoichiometric titanium carbide ($TiC_x$) particles were initially produced by the magnesium reduction of gaseous $TiCl_4+x/2C_2Cl_4$ at $890^{\circ}C$ and post heat treatments in vacuum were performed for 2 hrs to remove residual magnesium and magnesium chloride mixed with $TiC_x$. Finally, well C/N-controled $TiC_xN_y$ phases were successfully produced by nitrification heat treatment under normal $N_2$ gas atmosphere at $1150^{\circ}C$ for 2 hrs. The values of purity, mean particle size and oxygen content of produced particles were about 99.3%, 100 nm and 0.2 wt.%, respectively.
산림치유프로그램이 산불피해지역주민의 스트레스와 신체적 건강증진에 미치는 영향
김진숙,김명종,민지선,황성욱,유지훈,전영순,Kim, Jin-Sook,Kim, Myeong-Jong,Min, Ji-seon,Hwang, Seong-ug,Yu, Ji-hoon,Jeon, Yeong-soon 한국환경과학회 2020 한국환경과학회지 Vol.29 No.9
The purpose of this study was to conduct a forest healing program for victims affected by the large forest fires of 2017 in Gangneung and to investigate its effects on the stress and physical health promotion of the victims. From January to March 2019, three forest therapy programs were conducted on 49 residents of four villages that suffered forest fires in the National Center for Forest Therapy, Daegwallyeong. The results showed that the degree of stress of forest fire victims decreased significantly by means of these programs. Furthermore, autonomic nerve activity, stress resistance, stress index, and fatigue decreased significantly and average heart rate and heart stability also improved.
A Study to Consider the Specification of Posture Sensor for Autonomous Tractor
Benjamin Cates,Inkyo Choi(최인교),Jongmin Choi(최종민),Sang-Heon Lee(이상헌),Ji-Hoon Yu(유지훈) 대한기계학회 2018 대한기계학회 춘추학술대회 Vol.2018 No.12
Recently, a hot issue in the field of agriculture is the utilization of attitude sensors for autonomous tractors. The position of autonomous agricultural equipment is traditionally derived from GNSS sensors, and require centimeter-level accuracy. In addition, these GNSS sensors are primarily installed on the roof of the vehicle cabin in order to provide optimal conditions for the reception of satellite signals. Depending on the slope of the ground, the vehicle’s orientation can vastly differ, which leads to GNSS sensor position errors that may exceed ten centimeters or more. Tractors are generally operated in irregular and uneven fields, such as rice fields, and as a result experience large vehicle orientation fluctuations. In order to overcome the position errors associated with these fluctuations, it is necessary to appropriately mount a sensor on the vehicle capable of accurately determining vehicle posture. Therefore, in this paper, the specifications for the optimal mounting of an attitude measurement sensor are analyzed and selected based on the tractor’s driving environment and working characteristics.