• Title/Summary/Keyword: GIPS

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석고와 $\SiO_2$ Hydrosol

  • ;Komrska J
    • Cement
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    • s.61
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    • pp.53-57
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    • 1975
  • 1) 본논문은 Zement-Kalk-Gips 75년도 8월호에 게재된 V. Satava씨 및 J. Komrska씨의 $\ulcorner$Gips und $\SiO_2$-Hydrosolein neues Bindemittel$\lrcorner$을 번역 발췌한 것으로 주요 내용은 다음과 같다. 2) $\SiO_2$ Hydrosol 중의 반수석고경화 현탁액의 강도보다 높다. 3) Hydrosol중의 $\SiO_2$ 입자는 행동이 액상과 같으므로 반수석고 현탁액의 점도는 Hydrosol중이나 물중이나 유사하며 단지 $\SiO_2$의 부피만큼 물, 석고비를 감소시킨다. 4) 경화과정에서 단위 부피당 석고 결정이 차지하는 부피가 크므로 순수하게 물을 사용했을 때보다는 강도가 높다. 5) $\SiO_2$ 분자는 경화물질의 Skeleton속의 기공을 채워 표면의 특성에 영향을 준다.

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A Machine Learning Based Method for the Prediction of G Protein-Coupled Receptor-Binding PDZ Domain Proteins

  • Eo, Hae-Seok;Kim, Sungmin;Koo, Hyeyoung;Kim, Won
    • Molecules and Cells
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    • v.27 no.6
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    • pp.629-634
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    • 2009
  • G protein-coupled receptors (GPCRs) are part of multi-protein networks called 'receptosomes'. These GPCR interacting proteins (GIPs) in the receptosomes control the targeting, trafficking and signaling of GPCRs. PDZ domain proteins constitute the largest protein family among the GIPs, and the predominant function of the PDZ domain proteins is to assemble signaling pathway components into close proximity by recognition of the last four C-terminal amino acids of GPCRs. We present here a machine learning based approach for the identification of GPCR-binding PDZ domain proteins. In order to characterize the network of interactions between amino acid residues that contribute to the stability of the PDZ domain-ligand complex and to encode the complex into a feature vector, amino acid contact matrices and physicochemical distance matrix were constructed and adopted. This novel machine learning based method displayed high performance for the identification of PDZ domain-ligand interactions and allowed the identification of novel GPCR-PDZ domain protein interactions.

석고의 배수성에 관한 계통적 연구

  • 한국양회공업협회
    • Cement
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    • s.61
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    • pp.58-63
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    • 1975
  • 1) 본연구논문은 Zement-Kalk-Gips 1975년도 8월호에 게재된 TH Chavatal씨의 $\ulcorner$Systematische Versucke zur Hydrophbierung des Gipses$\lrcorner$를 번역 발췌한 것으로 요약하면 다음과 같다. 2) 현재 사용가능한 agent 중에서 가장 효과적인 것을 선택하여 석고에 장기 배수성을 가지게 하는 것이 가능한가의 여부에 대한 실험 결과이다. 3) 원필자의 실험은 28일간 계속되었으며 $\alpha$형 및 $\beta$형 반수석고에 대해 물의 흡수, 강도변화, 체적의 감소 및 표면의 손상 등에 대해 계통적으로 실험하였다. 4) $\alpha$형 및 $\beta$형 반수석고에 대해 어떤 agent도 안전히 배수성을 가지게 할 수는 없었으며 이 두 석고의 물에 대한 저항은 거의 대동소이하였다.

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Automated Construction Progress Management Using Computer Vision-based CNN Model and BIM (이미지 기반 기계 학습과 BIM을 활용한 자동화된 시공 진도 관리 - 합성곱 신경망 모델(CNN)과 실내측위기술, 4D BIM을 기반으로 -)

  • Rho, Juhee;Park, Moonseo;Lee, Hyun-Soo
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.5
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    • pp.11-19
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    • 2020
  • A daily progress monitoring and further schedule management of a construction project have a significant impact on the construction manager's decision making in schedule change and controlling field operation. However, a current site monitoring method highly relies on the manually recorded daily-log book by the person in charge of the work. For this reason, it is difficult to take a detached view and sometimes human error such as omission of contents may occur. In order to resolve these problems, previous researches have developed automated site monitoring method with the object recognition-based visualization or BIM data creation. Despite of the research results along with the related technology development, there are limitations in application targeting the practical construction projects due to the constraints in the experimental methods that assume the fixed equipment at a specific location. To overcome these limitations, some smart devices carried by the field workers can be employed as a medium for data creation. Specifically, the extracted information from the site picture by object recognition technology of CNN model, and positional information by GIPS are applied to update 4D BIM data. A standard CNN model is developed and BIM data modification experiments are conducted with the collected data to validate the research suggestion. Based on the experimental results, it is confirmed that the methods and performance are applicable to the construction site management and further it is expected to contribute speedy and precise data creation with the application of automated progress monitoring methods.

A linear array SliM-II image processor chip (선형 어레이 SliM-II 이미지 프로세서 칩)

  • 장현만;선우명훈
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.2
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    • pp.29-35
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    • 1998
  • This paper describes architectures and design of a SIMD type parallel image processing chip called SliM-II. The chiphas a linear array of 64 processing elements (PEs), operates at 30 MHz in the worst case simulation and gives at least 1.92 GIPS. In contrast to existing array processors, such as IMAP, MGAP-2, VIP, etc., each PE has a multiplier that is quite effective for convolution, template matching, etc. The instruction set can execute an ALU operation, data I/O, and inter-PE communication simulataneously in a single instruction cycle. In addition, during the ALU/multiplier operation, SliM-II provides parallel move between the register file and on-chip memory as in DSP chips, SliM-II can greatly reduce the inter-PE communication overhead, due to the idea a sliding, which is a technique of overlapping inter-PE communication with computation. Moreover, the bandwidth of data I/O and inter-PE communication increases due to bit-parallel data paths. We used the COMPASS$^{TM}$ 3.3 V 0.6.$\mu$m standrd cell library (v8r4.10). The total number of transistors is about 1.5 muillions, the core size is 13.2 * 13.0 mm$^{2}$ and the package type is 208 pin PQ2 (Power Quad 2). The performance evaluation shows that, compared to a existing array processors, a proposed architeture gives a significant improvement for algorithms requiring multiplications.s.

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