• 제목/요약/키워드: Depth limit

검색결과 486건 처리시간 0.027초

예지성 있는 구치부 임플란트를 위한 임플란트의 수직적 깊이에 대한 고려 Implant Biologic width를 위한 Deep Implantation (Consideration of Vertical Position for predictable posterior implant - Deep implantation for Implant Biologic width)

  • 윤우혁
    • 대한심미치과학회지
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    • 제28권1호
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    • pp.27-41
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    • 2019
  • 예지성 있는 대구치부 임플란트을 위해서는 Crestal bone Stabliity를 위해 임플란트 주위에 biologic width라 할 수 있는 적절한 두께의 연조직이 필요하다. 그러기 위해선 기존에 우리가 적절하다고 혹은 어쩔 수 없는 한계라고 생각했던 깊이보다 좀 더 치조골 하방으로 깊이 심어야 하는 경우가 많은 것 같다. 이번 투고에서는 case report와 함께 관련된 surgical technique에 대해서 소개하면서 구치부 임플란트의 수직적 위치에 대해서 생각보고자 한다.

쇄파와 조류의 영향을 고려한 천해성에서의 Wave Spectrum에 대한 연구 (Breaking Directional Wave Spectrum in Water of Variable Depth in the Presence of Current)

  • 조용준
    • 한국해안해양공학회지
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    • 제5권2호
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    • pp.76-83
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    • 1993
  • Miche의 쇄파기준을 활용하여 쇄파 발생시에도 적용할 수 있는 파낭모형을 제시하였고 이 모형을 근간으로 하여 천해역에서의 방향성 파낭 Spectrum에 쇄파로 인한 에너지 소산을 도입할 수 있는 기법을 개발하였다. 본 연구에서 제안된 기법의 타당성을 검증하기 위하여 천해성에서 shear current, upwelling current와 조우하는 방향성 Wallops 파랑 spectrum에 적용하였다.

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Cost optimization of composite floor trusses

  • Klansek, Uros;Silih, Simon;Kravanja, Stojan
    • Steel and Composite Structures
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    • 제6권5호
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    • pp.435-457
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    • 2006
  • The paper presents the cost optimization of composite floor trusses composed from a reinforced concrete slab of constant depth and steel trusses consisting of hot rolled channel sections. The optimization was performed by the nonlinear programming approach, NLP. Accordingly, a NLP optimization model for composite floor trusses was developed. An accurate objective function of the manufacturing material, power and labour costs was proposed to be defined for the optimization. Alongside the costs, the objective function also considers the fabrication times, and the electrical power and material consumption. Composite trusses were optimized according to Eurocode 4 for the conditions of both the ultimate and the serviceability limit states. A numerical example of the optimization of the composite truss system presented at the end of the paper demonstrates the applicability of the proposed approach.

독신가족의 가족복지 욕구분석을 위한 사례연구 (A case Study to Analyze Welfare Needs of a Single Family)

  • 박정윤;김진희
    • 대한가정학회지
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    • 제40권10호
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    • pp.17-31
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    • 2002
  • The number of single family is increasing because of individualism, resistance toward patriarchal family system, forced independence of women, absence of proper spouse and divorce rate, and aging. This study is to find out welfare needs in order to make family welfare measures toward continuously increasing single family. Data analysis has been tried to accomplish the purpose of study by in-depth interview, and structural questions were asked according to characteristics and degree of communication. Difficulties that single testers go through are social prejudice, financial problems, emotional and psychological factor, reduction of social network, and health. Lack of publicity, limit of welfare beneficiary, lack of service are suggested as problems, and what needs to be changed are formation of self-reliance meeting, financial independence, preparation of health and one's declining years.

다공 H 형강보의 보강효과에 관한 실험적 연구 (An Experimental Study on Reinforcing Effectiveness of H-Shaped Steel Beams with Rectangular Web Openings)

  • 김진무
    • 한국구조물진단유지관리공학회 논문집
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    • 제3권3호
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    • pp.213-222
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    • 1999
  • On condition that opening located at high shear strength position in H-shaped steel beams with web opening, beams are structurally to be frailed so necessity and efficiency of vertical reinforcement to add horizontal reinforcement already published ahead study. Up to the present study of web opening beams, limited one opening which located in comparatively small shear strength position. But frequently opening area is enlargement by necessity, so width of opening is larger by limit of depth or increasing number of opening. This study carry out experiment to make efficient reinforcing method about strength and deformation of steel beams with web openings. Parameters of this study are openings location, ratio of opening width within opening height and various reinforcing types.

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Analytical Characteristics and Applications of Laser Ionization Mass Spectrometry

  • 임훙선;윤하섭;김성규
    • Bulletin of the Korean Chemical Society
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    • 제18권1호
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    • pp.32-37
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    • 1997
  • We have built a laser ionization mass spectrometer (LIMS) for chemical composition analysis of solid samples, which employs an Nd:YAG laser and a time-of-flight mass analyzer. In this spectrometer, the maximum mass we identified clearly is higher than 2000 amu. A mass resolution of 230 has been achieved at m/z 208 (Pb element) in the linear TOFMS and can be even improved up to 1550 by employing a reflectron. The detection limit is determined to be on the order of ppm for Fe and In. The depth resolution is found to be about 20Å/spectrum with a laser power of 0.5 J/cm2. We also report a preliminary application of the LIMS to identifying impurities resident in several solid samples.

1-Piece 알루미늄 도어 인너 냉간-열간 복합 성형공정 개발 (Development of the Hybrid Cold-Hot Stamping Process for the 1-Piece Aluminum Door Inner Part)

  • 남성우;배기현
    • 소성∙가공
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    • 제30권5호
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    • pp.242-246
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    • 2021
  • Aluminum alloy sheet is being applied to automobiles continuously for the purpose of reducing car body weight. However, due to low formability, there's a limit to application of products with a deep forming depth such as door inner parts. Therefore, the difficult-to-form parts are mainly segmented formed then joined together, which is also disadvantageous as it increases the cost of manufacturing. This study proposes a hybrid cold-hot stamping method for the 1-piece door inner part to reduce cost. To design the stamping process, numerical simulation method is established by using the temperature-dependent mechanical properties of AA6016. The formability according to the hybrid cold-hot stamping method is evaluated using numerical analysis. The suitability of the proposed stamping method is then verified through the stamping tryout.

OPTICAL INVESTIGATION OF THE CRAB PULSAR: SIMULTANEOUS UBVR LIGHT CURVES WITH TIME RESOLUTION OF 3.3 ${\mu}s$ AND SPECTROSCOPY

  • KOMAROVA V. N.;BESKIN G. M.;NEUSTROEV V. V.;PLOKHOTNICHENKO V. L.
    • 천문학회지
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    • 제29권spc1호
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    • pp.217-218
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    • 1996
  • The results of the Crab pulsar observations with the photometrical MANIA (Multichannel Analysis of Nanosecond Intensity Alterations) complex at the 6-m telescope are presented. More than 12 millions photons in UBVR-bands simultaneously with time resolution of $10^{-7}s$ were detected. Using the original software for search for optical pulsar period, we obtained the light curves of the object with time resolution of about 3.3 ${\mu}s$. Their detailed analysis gives the spectral change during pulse and subpulse, the shape of the pulse peaks, which are plateaus (with the duration of about 50${\mu}s$ for the main pulse), limits for an amplitude of fine temporal (stochastic and regular) structure of pulse and sub pulse and the interpulse space intensity. The results of CCD-spectroscopy of the Crab pulsar show that its summarized spectrum is flat. There are no lines, neither emission nor absorbtion ones. Upper limit for line intensity or depth is $3.5\%$ with the confidence probability of $95\%$.

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Deep Learning Study of the 21cm Differential Brightness Temperature During the Epoch of Reionization

  • Kwon, Yungi;Hong, Sungwook E.
    • 천문학회보
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    • 제45권1호
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    • pp.66.2-66.2
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    • 2020
  • We propose a deep learning analysis technique with a convolutional neural network (CNN) to predict the evolutionary track of the Epoch of Reionization (EoR) from the 21-cm differential brightness temperature tomography images. We use 21cmFAST, a fast semi-numerical cosmological 21-cm signal simulator, to produce mock 21-cm maps between z = 6 ~ 13. We then apply two observational effects, such as instrumental noise and limit of (spatial and depth) resolution somewhat suitable for realistic choices of the Square Kilometre Array (SKA), into the 21-cm maps. We design our deep learning model with CNN to predict the sliced-averaged neutral hydrogen fraction from the given 21-cm map. The estimated neutral fraction from our CNN model has great agreement with the true value even after coarsely smoothing with broad beam size and frequency bandwidth and heavily covered by noise with narrow beam size and frequency bandwidth. Our results show that the deep learning analyzing method has the potential to reconstruct the EoR history efficiently from the 21-cm tomography surveys in future.

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Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth?

  • James Weiquan Li;Lai Mun Wang;Katsuro Ichimasa;Kenneth Weicong Lin;James Chi-Yong Ngu;Tiing Leong Ang
    • Clinical Endoscopy
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    • 제57권1호
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    • pp.24-35
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    • 2024
  • The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility.