• Title/Summary/Keyword: Research Process Engineering

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Rubbing Process Evaluation Method for The LCD Panel

  • Honoki, Hideyuki;Sakai, Kaoru;Kawabe, Shun'Ichi;Nakasu, Nobuaki
    • 한국정보디스플레이학회:학술대회논문집
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    • 2002.08a
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    • pp.115-117
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    • 2002
  • In order to realize a stable rubbing process for the liquid crystal panel, the authors investigated the quantitative evaluation method of rubbing process uniformity. The proposed method focuses on the relationship between the image quality of the LCD panel for gray scale images and the rubbing uniformity. The proposed method indicates rubbing uniformity using quantitative parameters of spots and hairlines on the LCD panel.

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A TBM tunnel collapse risk prediction model based on AHP and normal cloud model

  • Wang, Peng;Xue, Yiguo;Su, Maoxin;Qiu, Daohong;Li, Guangkun
    • Geomechanics and Engineering
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    • v.30 no.5
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    • pp.413-422
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    • 2022
  • TBM is widely used in the construction of various underground projects in the current world, and has the unique advantages that cannot be compared with traditional excavation methods. However, due to the high cost of TBM, the damage is even greater when geological disasters such as collapse occur during excavation. At present, there is still a shortage of research on various types of risk prediction of TBM tunnel, and accurate and reliable risk prediction model is an important theoretical basis for timely risk avoidance during construction. In this paper, a prediction model is proposed to evaluate the risk level of tunnel collapse by establishing a reasonable risk index system, using analytic hierarchy process to determine the index weight, and using the normal cloud model theory. At the same time, the traditional analytic hierarchy process is improved and optimized to ensure the objectivity of the weight values of the indicators in the prediction process, and the qualitative indicators are quantified so that they can directly participate in the process of risk prediction calculation. Through the practical engineering application, the feasibility and accuracy of the method are verified, and further optimization can be analyzed and discussed.

Cloning and Characterization of Mannheimia succiniciproducens MBEL55E Phosphoenolpyruvate Carboxykinase (pckA) Gene

  • Lee, Sang-Yup;Lee, Pyung-Cheon;Hong, Soon-Ho;Chang, Ho-Nam
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.7 no.2
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    • pp.95-99
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    • 2002
  • A pckA gene encoding phosphoenolpyruvate carboxykinase (PEPCK) was cloned and sequenced from the succinic acid producing bacterium Mannheimia succiniciproducens MBEL55E. The gene encoded a 538 residue polypeptide with a calculated molecular mass of 58.8 kDa and a calculated pI of 5.03. The deduced amino acid sequence of the M. succiniciprodutens MBEL55E PEPCK was similar to those of all known ATP-dependent PEPCKS.

A study on dissolved air flotation (DAF) process control using decision algorithm (의사결정 알고리즘을 이용한 DAF 공정 제어에 관한 연구)

  • Jung, Woosik;An, Ju-Suk;Park, Ji-Young;Oh, Hyun-Je
    • Journal of Korean Society of Water and Wastewater
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    • v.31 no.5
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    • pp.409-414
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    • 2017
  • In this study, we divided the process operation scenarios into three categories based on raw water temperature and turbidity. We will select and operate the process operation scenario according to the characteristics of the raw water. The number of algae in the DAF treated water has been analyzed to be less than 100 cells/mL. These results indicated that the DAF process is effective in removing the algae. In addition, the scenario of the integrated management decision algorithm of the DAF process was developed. DAF pilot plants ($500m^3/day$) process has shown a constantly sound performance for the treatment of raw water, yielding a significantly low level of turbidity (DAF treated water, 0.21~1.56 NTU).