http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
정구영,Yokel, Felix Y. 한국지반공학회 1987 대한토질공학회지 Vol.3 No.4
얕은 지반의 현장탐사와 다짐도의 측정등에 적합한 나선탐사시험을 개발하여 그 시기결과를 표준 관입시험, 도추관입시험, 현장밀도시험 등 기존의 현장시험결과와 비교, 분석하였다. 나선탐사설험은 다른 현장시광에 비하여 경제적이며 1인이 쉽게 시험할 수 있는 장점이 있다. 흙의 물성치는 택 사기를 지반에 관입시키는데 필요한 토오크로 나타내며 본 연구결과, 표준관입시험 및 원유관입시 험의 결과와 잘 일치하고 표준관입시험과의 상관관계는 흙의 종류에 따른 유관성이 낮으나 도유관 입시험과의 경우, 유관성이 높다. 또한 나선탐사시험은 상대다짐또와 다짐지반의 현장밀도의 측정 에도 정도가 높다. 한펀 지반의 평균정립(D50)이 증가함에 따라 나선탐사시험의 역포전비는 감소하는 특성을 보인다. A helical probe test (HPT) suitable for in.situ soil exploration to a shallow depth and compaction control were developed and tested in different soils alongside traditional in-situ tests, including Standard Penetration Test (SPT), Cone Penetration Test (CPT) and in-situ density test. The helical probe test is economical and can be performed by a single person. The torque necessary to insert the probe Is used as a measure of soil characteristics. It was found that: the HPT test correlates well with the SPT test and the correlation is not sensitive to the soil type; the HPT test correlates well with the CPT test, but the correlation is sensitive to the soil type; the HPT torque provides a sensitive measure of relative compaction rind in-situ dry density of compacted soils; the reverse torque ratio decreases with increasing average grain sloe.
2차 고조파를 이용한 UWB 시스템용 쿼드러쳐 혼합기 설계
정구영,임종혁,최병현,윤태열,Jung, Goo-Young,Lim, Jong-Hyuk,Choi, Byung-Hyun,Yun, Tae-Yeoul 한국전자파학회 2006 한국전자파학회논문지 Vol.17 No.12
This paper presents an ultra wideband(UWB) direct conversion mixer for IEEE 802.15.3a applications with simulation and measurement results. Since the direct conversion mixing causes dc-offset and even-order distortion, the proposed mixer adopts an anti-parallel diode pairs(APDPs) to solve these problems. The proposed mixer consists of an in-phase wilkinson power divider over $3.1{\sim}4.8GHz$, a wideband $45^{\circ}$ power divider over $1.5{\sim}2.4GHz$, and miniatured band pass filters(BPFs) for RF-LO isolations. The conversion loss is optimized with impedance matchings between APDPs and wideband components. The measured mixer shows the conversion loss of 13.5 dB, input third-order intercept-point($IIP_3$) of 7 dBm, and 1-dB gam compression point($P_{1dB}$) of -4 dBm. Quadrature(I/Q) outputs have the magnitude difference of about 1 dB and phase difference of ${\pm}3^{\circ}$.
역병렬 다이오드를 이용한 초광대역 시스템용 3~5 GHz 혼합기 설계
정구영,이동환,윤태열,Jung Goo-Young,Lee Dong-Hwan,Yun Tae-Yeoul 한국전자파학회 2005 한국전자파학회논문지 Vol.16 No.7
This paper presents an ultra wide band(UWB) mixer using anti-parallel diode pair(APDP) with simulation and measurement results. The proposed mixer adopts the even-harmonic direct conversion mixing, which consists of a couple of filter, in-phase wilkinson power divider, wideband $45^{\circ}$ power divider, and APDP. The m mixer is operating over 3.1 to 4.8 GHz and producing quadrature(I/Q) outputs with a conversion loss of 18 dB and input third order intercept point($IIP_3$) of 15 dBm. I/Q outputs also have difference of about 0.5 dB and phase difference of ${\times}3^{\circ}$ and $P_{1dB}$ of 2 dBm.
레퍼런스 ST 셋과 다항식 근사를 이용한 ST 형상 분류 알고리즘
정구영,유기호,Jeong, Gu-Young,Yu, Kee-Ho 대한의용생체공학회 2007 의공학회지 Vol.28 No.5
The morphological change of ECG is the important diagnostic parameter to finding the malfunction of a heart. Generally ST segment deviation is concerned with myocardial abnormality. The aim of this study is to detect the change of ST in shape using a polynomial approximation method and the reference ST type. The developed algorithm consists of feature point detection, ST level detection and ST shape classification. The detection of QRS complex is accomplished using it's the morphological characteristics such as the steep slope and high amplitude. The developed algorithm detects the ST level change, and then classifies the ST shape type using the polynomial approximation. The algorithm finds the least squares curve for the data between S wave and T wave in ECG. This curve is used for the classification of the ST shapes. ST type is classified by comparing the slopes of the specified points between the reference ST set and the least square curve. Through the result from the developed algorithm, we can know when the ST level change occurs and what the ST shape type is.
정구영,김창엽,김용익,신영수,김윤,Jung, Ku-Young,Kim, Chang-Yup,Kim, Yong-Ik,Shin, Young-Soo,Kim, Yoon 대한예방의학회 1999 예방의학회지 Vol.32 No.4
Objective : To compare the predictive power of International Classification of Diseases 10th Edition(ICD-10) based International Classification of Diseases based Injury Severity Score(ICISS) with Trauma and Injury Severity Score(TRISS) and International Classification of Diseases 9th Edition Clinical Modification(ICD-9CM) based ICISS in the injury severity measure. Methods : ICD-10 version of Survival Risk Ratios(SRRs) was derived from 47,750 trauma patients from 35 Emergency Centers for 1 year. The predictive power of TRISS, the ICD-9CM based ICISS and ICD-10 based ICISS were compared in a group of 367 severely injured patients admitted to two university hospitals. The predictive power was compared by using the measures of discrimination(disparity, sensitivity, specificity, misclassification rates, and ROC curve analysis) and calibration(Hosmer-Lemeshow goodness-of-fit statistics), all calculated by logistic regression procedure. Results : ICD-10 based ICISS showed a lower performance than TRISS and ICD-9CM based ICISS. When age and Revised Trauma Score(RTS) were incorporated into the survival probability model, however, ICD-10 based ICISS full model showed a similar predictive power compared with TRISS and ICD-9CM based ICISS full model. ICD-10 based ICISS had some disadvantages in predicting outcomes among patients with intracranial injuries. However, such weakness was largely compensated by incorporating age and RTS in the model. Conclusions : The ICISS methodology can be extended to ICD-10 horizon as a standard injury severity measure in the place of TRISS, especially when age and RTS were incorporated in the model. In patients with intracranial injuries, the predictive power of ICD-10 based ICISS was relatively low because of differences in the classifying system between ICD-10 and ICD-9CM.