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2형 오브스캔 각막지형도를 이용한 원추각막과 원추각막의증의 각막형태비교
이승욱,이창환,이지은,이종수,Seung Uk Lee,Chang Hwan Lee,Ji-Eun Lee,Jong Soo Lee 대한안과학회 2007 대한안과학회지 Vol.48 No.12
Purpose: To compare corneal topographic changes using Orbscn II between keratoconus and keratoconus- suspected eyes. Methods: Thirty-seven keratoconus eyes, 17 keratoconus-suspected eyes and 37 normal eyes were evaluated by using Orbscan II corneal topography. We compared central phachymetry, anterior elevation from best-fit sphere (BFS), posterior elevation from BFS, most protruded corneal thickness, central corneal thickness, anterior chamber depth, corneal diameter, and pupil size. Results: Central pachymetry, anterior and posterior elevation from BFS, central corneal thickness, and anterior chamber depth were statistically significantly different between keratoconus and control eyes. Anterior elevation from BFS showed a significant difference between keratoconus-suspected and control eyes. There were statistically significant differences in central pachymetry, posterior elevation from BFS, central corneal thickness and most protruded corneal thickness between keratoconus and keratoconus-suspected eyes. Corneal diameter and pupil size showed no differences among the 3 groups. Conclusions: Suspected keratoconus eyes have a higher value of anterior elevation from BFS on Orbscan II topography as compared with control eyes. Central pachymetry, posterior elevation from BFS, central corneal thickness and most protruded corneal thickness may be helpful in distinguishing between keratoconus and keratoconus-suspected eyes.
눈물길 신티그라피의 양상에 따른 실리콘관 삽입술의 치료효과 비교
이승욱,김은희,이지은,이종수.Seung Uk Lee. M.D.. Eun Hee Kim. M.D.. Ji Eun Lee. M.D.. Jong Soo Lee. M.D. 대한안과학회 2006 대한안과학회지 Vol.47 No.6
Purpose: To evaluate clinical outcome of silicone tube intubation in lacrimal passage obstruction according to the lacrimal passage obstruction patterns by dacryoscintigraphy. Methods: Fifty-nine eyes of 52 patients complaining of epiphora were divided into three groups pre-sac (group 1), intra-sac (group 2), and intra-ductal (group 3) types by dacryoscintigraphy. We confirmed the obstructive sites of lacrimal passage by probing with Bowman probe, and excluded all the cases of not passing lacrimal pathway or without the obstruction of lacrimal pathway. In the silicone intubation, a tie between both silicone tube was made at silicone silastic sheet instead of Mersilk. Results: The success was defined as maintaining the patent lacrimal passage with irrigation and disappearing of epiphora for at least 3 months. The success rate of the silicone intubation was 16 eyes of 17 eyes (94.1%) in group 1, 19 eyes of 23 eyes (82.6%) in group 2, and 14 eyes in 19 eyes (73.7%) in the group 3. The highest success rate of silicone intubation was pre-sac type and the lowest success rate was intra-ductal type by dacryoscintigraphy. There is no significant difference of success rate among three groups. Conclusions: Although it`s required the longer follow-up period and larger subjects to evaluate the efficacy of silicone tube intubation, it should be useful management of silicone tube intubation, especially at the cases of pre-sac obstruction by dacryoscintigraphy.
고속 스위칭 Voltage Down Converter 회로 설계에 대한 연구
이승욱,김명식,Lee, Seung-Wook,Kim, Myung-Sik 대한전자공학회 2001 電子工學會論文誌-SC (System and control) Vol.38 No.2
본 논문은 IC chip내에서 전압을 낮추는 목적으로 사용되는 VDC 회로의 주파수 특성을 향상시키기 위한 새로운 회로를 제안한다. 제안된 회로에는 적응 바이어싱 방법을 통해 저전력소모 및 고속동작을 동시에 만족하는 두 개의 센서와 이 센서로 구동되는 3개의 transistor가 부가적으로 첨가되어 구동 transistor의 gate 충.방진 전류를 보상하여 구동회로의 정상동작을 유지시켜준다. 본 연구에 사용된 회로는 $0.62{\mu}m$ N well CMOS 공정을 사용하였으며, H spice simulation 결과, 내부전압의 변화폭은 부하전류가 0에서 $200m{\Lambda}$까지 5ns동안 증가할 경우 약 1.0V로, $200m{\Lambda}$에서 0으로 감소할 경우 약 0.6V로, 내부전압 회복시간은 증가시 7ns, 감소시 10ns로, 일반적인 구동방식에 비해 성능이 향상되었으며 전체 회로에 소모하는 power는 약 1.2mW로 매우 작았다. This paper presents a new voltage down converter(VDC) using charge and discharge current adjustment circuitry that provides high frequency application. This VDC consist of a common driving circuit and compensation circuits: 2 sensors and each driving transistors for controlling gate current of driving transistor. These sensors are operated as adaptive biasing method with high speed and low power consumption. This circuit is designed with a $0.62{\mu}m$ N well CMOS technology. In H-spice simulation results, internal voltage is bounded ( IV, +0.6V) in proposed circuitry when load current rapidly increases and decreases during Gns between 0 and $200m{\Lambda}$. And the recovery time of internal voltage is about 7ns and 10ns when load current increases and decreases respectively. That is fast better than common driving circuit. Total power consumption is about 1.2mW.
Conceptual Design of a Single Phase 33 MVA HTS Transformer with a Tertiary Winding
이승욱,김우석,한송엽,황영인,최경달,Lee, S.W.,Kim, W.S.,Hahn, S.Y.,Hwang, Y.I.,Choi, K.D. The Korean Superconductivity Society 2006 Progress in superconductivity Vol.7 No.2
We have proposed a 3 phase, 100 MVA, 154 kV class HTS transformer substituting for a 60 MVA conventional transformer. The power transformer of 154 kV class has a tertiary winding besides primary and secondary windings. So the HTS transformer should have the 3rd superconducting winding. In this paper, we designed conceptually the structure of the superconducting windings of a single phase 33 MVA transformer. The electrical characteristics of the HTS transformer such as % impedance and AC loss vary with the arrangement of the windings and gaps between windings. We analyzed the effects of the winding parameters, evaluated the cost of each design, and proposed a suitable HTS transformer model for future power distribution system.
인공지능을 이용한 3D 콘텐츠 기술 동향 및 향후 전망
이승욱,황본우,임성재,윤승욱,김태준,김기남,김대희,박창준,Lee, S.W.,Hwang, B.W.,Lim, S.J.,Yoon, S.U.,Kim, T.J.,Kim, K.N.,Kim, D.H,Park, C.J. 한국전자통신연구원 2019 전자통신동향분석 Vol.34 No.4
Recent technological advances in three-dimensional (3D) sensing devices and machine learning such as deep leaning has enabled data-driven 3D applications. Research on artificial intelligence has developed for the past few years and 3D deep learning has been introduced. This is the result of the availability of high-quality big data, increases in computing power, and development of new algorithms; before the introduction of 3D deep leaning, the main targets for deep learning were one-dimensional (1D) audio files and two-dimensional (2D) images. The research field of deep leaning has extended from discriminative models such as classification/segmentation/reconstruction models to generative models such as those including style transfer and generation of non-existing data. Unlike 2D learning, it is not easy to acquire 3D learning data. Although low-cost 3D data acquisition sensors have become increasingly popular owing to advances in 3D vision technology, the generation/acquisition of 3D data is still very difficult. Even if 3D data can be acquired, post-processing remains a significant problem. Moreover, it is not easy to directly apply existing network models such as convolution networks owing to the various ways in which 3D data is represented. In this paper, we summarize technological trends in AI-based 3D content generation.