• 제목/요약/키워드: New York University

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Architects' Professional Alliance with the Furniture Design Industry in Interwar America - As Reflected in Public Exhibitions -

  • Choi, Won-Joon
    • 한국가구학회지
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    • 제21권3호
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    • pp.205-215
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    • 2010
  • The professional alliance between disciplines of architecture and furniture design in the interwar years as displayed in the prominent architectural exhibitions of the era is interesting in the context of professionalization of American architecture. The way furniture design gradually became part of the architectural shows not only reflected but provided the practical field in which the architectural institution sought, under the new social order since the mid 1910s, a new professional cast-departing from the former milieu in the realm of high-art by the Beaux-Arts Movement. Exhibitions held by the Architectural League of New York in the 1920s revealed that the early impetus for reformation toward efficiency had been subsumed by the system of Beaux-Arts. By contrast, "The Architect and the Industrial Arts" show of the Metropolitan Museum of Art, in which the most prominent architects of the era exercised their professional expertise in the design of "Moderne Style" interior furnishings, clearly shows how architects, in the milieu of expanding commercial market, sought to align their profession as industrial designers.

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Comparison study of intensity modulated arc therapy using single or multiple arcs to intensity modulated radiation therapy for high-risk prostate cancer

  • Ashamalla, Hani;Tejwani, Ajay;Parameritis, Ioannis;Swamy, Uma;Luo, Pei Ching;Guirguis, Adel;Lavaf, Amir
    • Radiation Oncology Journal
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    • 제31권2호
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    • pp.104-110
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    • 2013
  • Purpose: Intensity modulated arc therapy (IMAT) is a form of intensity modulated radiation therapy (IMRT) that delivers dose in single or multiple arcs. We compared IMRT plans versus single-arc field (1ARC) and multi-arc fields (3ARC) IMAT plans in high-risk prostate cancer. Materials and Methods: Sixteen patients were studied. Prostate ($PTV_P$), right pelvic ($PTV_{RtLN}$) and left pelvic lymph nodes ($PTV_{LtLN}$), and organs at risk were contoured. $PTV_P$, $PTV_{RtLN}$, and $PTV_{LtLN}$ received 50.40 Gy followed by a boost to $PTV_B$ of 28.80 Gy. Three plans were per patient generated: IMRT, 1ARC, and 3ARC. We recorded the dose to the PTV, the mean dose ($D_{MEAN}$) to the organs at risk, and volume covered by the 50% isodose. Efficiency was evaluated by monitor units (MU) and beam on time (BOT). Conformity index (CI), Paddick gradient index, and homogeneity index (HI) were also calculated. Results: Average Radiation Therapy Oncology Group CI was 1.17, 1.20, and 1.15 for IMRT, 1ARC, and 3ARC, respectively. The plans' HI were within 1% of each other. The $D_{MEAN}$ of bladder was within 2% of each other. The rectum $D_{MEAN}$ in IMRT plans was 10% lower dose than the arc plans (p < 0.0001). The GI of the 3ARC was superior to IMRT by 27.4% (p = 0.006). The average MU was highest in the IMRT plans (1686) versus 1ARC (575) versus 3ARC (1079). The average BOT was 6 minutes for IMRT compared to 1.3 and 2.9 for 1ARC and 3ARC IMAT (p < 0.05). Conclusion: For high-risk prostate cancer, IMAT may offer a favorable dose gradient profile, conformity, MU and BOT compared to IMRT.

Twin models for high-resolution visual inspections

  • Seyedomid Sajedi;Kareem A. Eltouny;Xiao Liang
    • Smart Structures and Systems
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    • 제31권4호
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    • pp.351-363
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    • 2023
  • Visual structural inspections are an inseparable part of post-earthquake damage assessments. With unmanned aerial vehicles (UAVs) establishing a new frontier in visual inspections, there are major computational challenges in processing the collected massive amounts of high-resolution visual data. We propose twin deep learning models that can provide accurate high-resolution structural components and damage segmentation masks efficiently. The traditional approach to cope with high memory computational demands is to either uniformly downsample the raw images at the price of losing fine local details or cropping smaller parts of the images leading to a loss of global contextual information. Therefore, our twin models comprising Trainable Resizing for high-resolution Segmentation Network (TRS-Net) and DmgFormer approaches the global and local semantics from different perspectives. TRS-Net is a compound, high-resolution segmentation architecture equipped with learnable downsampler and upsampler modules to minimize information loss for optimal performance and efficiency. DmgFormer utilizes a transformer backbone and a convolutional decoder head with skip connections on a grid of crops aiming for high precision learning without downsizing. An augmented inference technique is used to boost performance further and reduce the possible loss of context due to grid cropping. Comprehensive experiments have been performed on the 3D physics-based graphics models (PBGMs) synthetic environments in the QuakeCity dataset. The proposed framework is evaluated using several metrics on three segmentation tasks: component type, component damage state, and global damage (crack, rebar, spalling). The models were developed as part of the 2nd International Competition for Structural Health Monitoring.

Stimulating Nearly Correct Focus Cues in Stereo Displays

  • Akeley, Kurt;Banks, Martin S.;Hoffman, David M.;Girshick, Anna R.
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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    • pp.39-42
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    • 2008
  • We have developed new display techniques that allow presentation of nearly correct focus cues. Using these techniques, we find that stereo vision is faster and more accurate, and that viewers experience less discomfort, when focus cues are consistent with simulated depth.

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Hot oxygen atoms in the Martian upper

  • 김준
    • 한국우주과학회:학술대회논문집(한국우주과학회보)
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    • 한국우주과학회 1998년도 한국우주과학회보 제7권1호
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    • pp.24.1-24
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    • 1998
  • No Abstract.See Full-text

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