• 제목/요약/키워드: Super structure

검색결과 586건 처리시간 0.025초

입자영상유속계를 이용한 대형수송함(LPH) 갑판 상부의 유동장 측정 연구 (A Research of the Flow-Field Measurement Above the Flight Deck on LHP by PIV System)

  • 심호준;정진덕;조태환;이승훈;송지수
    • 대한조선학회논문집
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    • 제59권4호
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    • pp.225-234
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    • 2022
  • The flow field measurement above whole area of the flight deck on 'Landing Platform Helicopter (LPH)' was performed by using PIV system in wind tunnel. In various heading angle conditions (0deg, -30deg, -45deg, -60deg, -75deg and ±90deg), the velocity fields such as U velocity & V velocity were measured at three different height above flight deck. Due to the geometrical characteristics of several bodies like deck, crane and super-structure, various vortex were generated. When the heading angle is 0deg, the deck edge vortex by flight deck and massive separation by super-structure were clearly observed by visualization with smoke and PIV, respectively. In other heading angles, the acceleration of flow in space between crane and super-structure were detected. And area with flow separation by super-structure is directly related to the heading angle of vessel.

Super-RENS 디스크 채널 모델링에서 CS-기반 Sparse Volterra 필터의 적용 (Application of the CS-based Sparse Volterra Filter to the Super-RENS Disc Channel Modeling)

  • 문우식;박세황;임성빈
    • 대한전자공학회논문지TC
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    • 제49권5호
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    • pp.59-65
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    • 2012
  • 본 논문에서는 super-RENS 디스크의 채널 모델링을 위하여 압축 센싱 알고리즘에 기반한 sparse Volterra 필터에 대해 연구하였다. Super-RENS 디스크 시스템에서 심한 비선형 심벌간 간섭(ISI)이 발생하는 것은 익히 알려진 사실이다. 메모리를 가진 비선형 시스템은 Volterra 급수로 모델링할 수 있다. 또한, 압축 센싱은 측정치로부터 성긴 또는 압축된 신호를 복원할 수 있다. 이러한 이유로 super-RENS의 성긴 특성을 갖는 read-out 채널을 예측하기 위해 압축 센싱 알고리즘을 사용하였다. 평가 결과는 압축 센싱 알고리즘으로 super-RENS의 read-out 채널을 위한 sparse Volterra 모델을 효과적으로 구성할 수 있음을 보여준다.

2차 볼테라 모델을 이용한 Super-RENS 시스템의 비선형 모델링 (Nonlinear Modeling of Super-RENS System Using a Second-Order Volterra Model)

  • 서만중;심희성;임성빈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.975-976
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    • 2008
  • Reliable channel modeling becomes an important measure in performance evaluation on various data detection algorithms. For this reason, correct and accurate modeling is required. This paper presents a nonlinear modeling of Super-RENS (Super-Resolution Near Field Structure) read-out signal using the second-order Volterra model.

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직접 구동방식의 터보 압축기를 위한 초고속 전동기 구동 시스템 개발 (The Development of a super high speed motor driving system for the direct drive type turbo compressor)

  • 권정혁;변지섭;최중경
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(5)
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    • pp.219-222
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    • 2002
  • There are screw, reciprocating type turbo compressor by structure in an air compressor which is essential equipment on the industrial spot. Recently, the application range of a turbo compressor tend to be wide gradually. And this type of compressor needs high speed rotation of impeller in structure so high ratio gearbox and conventional induction motor driving required. This mechanical system have results of increased moment of inertia and mechanical friction loss. Recent studies of modern turbo compressor have been applied to developing super high speed BLDC motor and driver which remove gearbox that make its size small and mechanical friction loss minimum. To accomodate this tendency, we tried to develope a super high speed motor drive system for 150Hp, 70,000rpm direct drive Turbo compressor using DSP(Digital Signal Processor) and SVPWM(Space Vector Modulation PWM) technique. The results of this specific application show that super high speed driver and controller could be implemented well with digital electronics.

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Design of Main Body and Edge Termination of 100 V Class Super-junction Trench MOSFET

  • Lho, Young Hwan
    • 전기전자학회논문지
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    • 제22권3호
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    • pp.565-569
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    • 2018
  • For the conventional power MOSFET (metal-oxide semiconductor field-effect transistor) device structure, there exists a tradeoff relationship between specific on-state resistance (Ron,sp) and breakdown voltage (BV). In order to overcome this tradeoff, a super-junction (SJ) trench MOSFET (TMOSFET) structure with uniform or non-uniform doping concentration, which decreases linearly in the vertical direction from the N drift region at the bottom to the channel at the top, for an optimal design is suggested in this paper. The on-state resistance of $0.96m{\Omega}-cm2$ at the SJ TMOSFET is much less than that at the conventional power MOSFET under the same breakdown voltage of 100V. A design methodology for the edge termination is proposed to achieve the same breakdown voltage and on-state resistance as the main body of the super-junction TMOSFET by using of the SILVACO TCAD 2D device simulator, Atlas.

타원법을 이용한 Super-RENS 용 AgOx mask 층의 광물성 연구 (Ellipsometric Investigation of Optical Property of AgOx mask layer for Super-RENS Application)

  • Xuezhe Li;Kim, Sang-Jun;Kim, Sang-Youl
    • 한국광학회:학술대회논문집
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    • 한국광학회 2003년도 하계학술발표회
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    • pp.36-37
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    • 2003
  • To increase the high-density data storage, a new technique of Super-resolution near-field structure (Super-RENS) consisted of glass/SiN/Sb or AgOx/SiN has been proposed and investigated intensively as a promising structure for near-field ultrahigh-density optical storage. Hence it is important to determine the optical properties of AgOx by using ellipsometry. AgOx thin films were prepared by using magnetron sputtering technique while oxygen flow rate was varied, and the film growth of AgOx were monitored by using in situ ellipsometer. (omitted)

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대용량 전력변환용 초접합 IGBT 개발에 관한 연구 (The Develop of Super Junction IGBT for Using Super High Voltage)

  • 정헌석;강이구
    • 한국전기전자재료학회논문지
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    • 제28권8호
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    • pp.496-500
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    • 2015
  • This paper was proposed the theoretical research and optimal design 3000V super junction NPT IGBT for using electrical automotive and power conversion. Because super junction IGBT was showed ultra low on resistance, it was structure that can improve the thermal characteristics of conventional NPT IGBT. The electrical characteristics of super junction NPT IGBT were 2.52 V of on state voltage drop, 4.33 V of threshold voltage and 2,846 V breakdown voltage. We did not obtaing 3,000 V breakdown voltage but we will obtain 3,000 V breakdown voltage through improving p pillar layer. If we are carried this research, This device will be used electrical automotive, power conversiton and high speed train.

TiO2 나노입자 코팅에 의한 PET섬유의 초발수성에 관한 연구 (A Study on the Super-hydrophobicity of Poly(ethylene terephthalate) Fabric by TiO2 Nano-particles Coating)

  • 박성민;권일준;김지연;김창남;염정현;윤남식
    • 한국염색가공학회지
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    • 제21권1호
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    • pp.30-37
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    • 2009
  • Studies on plants such as lotus leaf suggested that dual-scale structure could contribute to super-hydrophobicity. We introduced super-hydrophobicity onto poly(ethylene terephthalate)(PET) fabric with dual-scale structure by assembling $TiO_2$ nano sol. PET fabric was treated with $TiO_2$ sol, water-repellent agent using various parameters such as particle size, concentration. Morphological changes by particle size were observed using field emmission scanning electron microscopy(FE-SEM) and AFM measurement, contact angle measurement equipment. The contact angle of water was about 138.5$^{\circ}$, 125.8$^{\circ}$, 125.5$^{\circ}$ and 108.9$^{\circ}$ for PET fabric coated with 60.2nm, 120.1nm, 200nm and 410.5nm $TiO_2$ particles, compared with about 111.5$^{\circ}$ for PET fabric coated with water repellent. When we mixed particle sizes of 60.2nm and 120.1nm by 7:3 volume ratio, the contact angle of water was about 132.5$^{\circ}$. And we mixed particle sizes of 60.2nm and 200nm by 7:3 volume ratio, the contact angle of water was about 141.8$^{\circ}$. Also we mixed particle sizes of 60.2nm and 410.5nm by 7:3 volume ratio, the best super-hydrophobicity was obtained. In this paper, we fabricated various surface structures to the water-repellent surfaces by using four types of $TiO_2$ nano-particles, and we found that the nanoscale structure was very important for the super-hydrophobicity.

실시간 영상 초해상도 복원을 위한 효율적인 신경망 구조 연구 (Study of Efficient Network Structure for Real-time Image Super-Resolution)

  • 정우진;한복규;이동석;최병인;문영식
    • 인터넷정보학회논문지
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    • 제19권4호
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    • pp.45-52
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    • 2018
  • 단일 영상 초해상도는 하나의 저해상도 영상에서 고해상도 영상을 복원하는 과정이다. 최근 심층신경망을 적용한 초해상도 기법이 좋은 성과를 나타내고 있다. 본 논문에서는 기존의 심층신경망 기반 초해상도 복원 기법보다 속도와 성능을 개선한 신경망 구조를 제안한다. 이를 위해 기존 기법의 단점을 분석하고 해결책을 제시한다. 제안하는 방법은 기존 기법의 5단계를 3단계로 줄여 효율성을 높였으며, 네트워크의 폭과 깊이에 대한 실험을 통해 가장 효율적인 신경망 구조를 연구하였다. 제안하는 방법의 성능과 속도를 알아보기 위해 비교 실험을 진행하였다. 제안하는 방법은 $1024{\times}1024$ 영상을 초당 148장 복원하는 속도를 나타냈으며, 4가지 데이터에 대해 기존 방법보다 복원 성능이 우수하였다.