• Title/Summary/Keyword: Cell analysis

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Performance Predictions of the Planar-type Solid Oxide Fuel Cell with Computational Flow Analysis (II) - Non-isothermal Model - (유동 해석을 이용한 평판형 고체 산화물 연료전지의 성능 특성 분석 (II) - 비등온 모델 -)

  • Hyun, Hee-Chul;Sohn, Jeong L.;Lee, Joon-Sik;Ro, Sung-Tack
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.27 no.7
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    • pp.963-972
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    • 2003
  • Performance characteristics of the planar-type solid oxide fuel cell (SOFC) are investigated by the analysis of flow fields coupled with heat and mass transfer phenomena in anode and cathode channels. For these purposes, performance analysis of the SOFC is conducted based on electrochemical reaction phenomena in electrodes and electrolyte coupled with flow fields in anode and cathode channels. In the present study, the isothermal model adopted in the previous paper prepared by the same authors is extended to the non-isothermal model by solving energy equation additionally with momentum and mass transfer equations using CFD technique. It is found that the difference between isothermal and non-isothermal models come from non-uniform temperature distribution along anode and cathode electrodes by solving energy equation in non-isothermal model. Non-uniform temperature distribution in non-isothermal model contributes to the increase of average temperature of the fuel cell and influences its performance characteristics.

Fuel Cell Research Trend Analysis for Major Countries by Keyword-Network Analysis (키워드 네트워크 분석을 통한 주요국 연료전지 분야 연구동향 분석)

  • SON, BUMSUK;HWANG, HANSU;OH, SANGJIN
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.2
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    • pp.130-141
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    • 2022
  • Due to continuous climate change, greenhouse gases in the atmosphere are gradually accumulating, and various extreme weather events occurring all over the world are a serious threat to human sustainability. Countries around the world are making efforts to convert energy sources from traditional fossil fuels to renewable energy. Hydrogen energy is a clean energy source that exists infinitely on Earth, and can be used in most areas that require energy, such as power generation, transportation, commerce, and household sectors. A fuel cell, a device that produces electric and thermal energy by using hydrogen energy, is a key field to respond to climate change, and major countries around the world are spurring the development of core fuel cell technology. In this paper, research trends in China, the United States, Germany, Japan, and Korea, which have the highest number of papers related to fuel cells, are analyzed through keyword network analysis.

An Identification of Outlying Cells in Contingency Table via Correspondence Analysis Map

  • Hong, Chong Sun;Lee, Jong Cheol
    • Communications for Statistical Applications and Methods
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    • v.8 no.1
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    • pp.39-49
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    • 2001
  • When an appropriate model is fitted to explain a certain categorical data, outlying cell detection plays very important role to reduce the lack of fit. There exist many statistical methods to identify outlying cells in contingency table. In this paper, correspondence analysis is applied to identify one or two outlying cells. When corresponding relationships between categories of the row and columns are explored, we find that outlying cells could be identified via the correspondence analysis map.

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An integrated bioinformatics analysis of mouse testis protein profiles with new understanding

  • Liu, Fujun;Wang, Haiyan;Li, Jianyuan
    • BMB Reports
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    • v.44 no.5
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    • pp.347-351
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    • 2011
  • The testis is major male gonad responsible for spermatogenesis and steroidogenesis. Much knowledge is still remained to be learned about the control of these events. In this study, we performed a comprehensive bioinformatics analysis on 1,196 mouse testis proteins screened from public protein database. Integrated function and pathway analysis were performed through Database for Annotation, Visualization and Integrated Discovery (DAVID) and ingenuity Pathway Analysis (IPA), and significant features were clustered. Protein membrane organization and gene density on chromosomes were analyzed and discussed. The enriched bioinformatics analysis could provide clues and basis to the development of diagnostic markers and therapeutic targets for infertility and male contraception.

Compositional SIMS Depth Profiling of CIGS film

  • Kim, Gyeong-Jung;Hwang, Hye-Hyeon;Jang, Jong-Sik;Jeong, Yong-Deok
    • Proceedings of the Korean Vacuum Society Conference
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    • 2011.02a
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    • pp.367-367
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    • 2011
  • CIGS solar cell with copper, indium, gallium and selenium is a second generation solar cells for the lowering of the manufacturing cost. The relative ratio of the four elements is one of the most important measurement issues because the photovoltaic property of CIGS solar cell depends on the crystalline structure of the CIGS layer. However, there is no useful analysis method for the composition of the CIGS layer. Recently, AES depth profiling analysis of CIGS films has been studied with a reference material certified by inductively coupled plasma optical emission spectroscopy. However, there are some problems in AES depth profiling analysis of CIGS films. In this study, the in-depth profiling analysis was investigated by secondary ion mass spectrometry (SIMS) depth profiling analysis. We will present the compositional depth profiling of CIGS films by SIMS and its applications for the development of CIGS solar cells with high efficiency.

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Computer simulation to determine system parameters of the square-wave adapted fast impedance analyzer for the electrode - electrolyte interface analysis (구형파를 이용한 전극계면 분석용 고속 임피던스 분석기의 설계변수 확정을 위한 컴퓨터 시뮬레이션)

  • Kim Gi-Ryon;Kim Gwang-Nyeon;Shim Yoon-Bo;Jeon Gye-Rok;Jung Dong-Keun
    • Journal of the Korea Society for Simulation
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    • v.14 no.2
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    • pp.45-55
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    • 2005
  • There are electric double layer capacitance, polarization resistance and solution resistance in the interface between electrode and solution. Electrode process could be evaluated by the electrical impedance analysis. The necessities of the electrochemical cell analysis with high speed impedance analyzer are followings: minimization of the effects of electric stimulation on electrochemical cell and the concentration of reactive materials, and optimization of impedance signal resolution. This paper represents the design criteria for the selection and stimulation to develop fast impedance analyzer prototype for a electrochemical cell. It was suggested that the design of 470k sample/s sampling rate, 13 bit ABC resolution, and 140ms recording time is required for high speed impedance analysis system in frequency range between dc and 10kHz.

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The Study of Dysplasic Grades to Digital Image Analyzer (화상분석기를 이용한 정도별 이형성증에 대한 연구)

  • Joo, Kyung-Woong
    • Korean Journal of Clinical Laboratory Science
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    • v.38 no.3
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    • pp.203-207
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    • 2006
  • The purpose of this study was to develop discriminant analysis models for predicting cervical normal/dysplasia case diagnoses using cytometric features derived from the digital image analysis of cell monolayers. The database consisted of 19 cases diagnosed either as normal (n=5), moderate dysplasia (n=7), severe dysplasia (n=7) on monolayer preparations. We studied the nuclear and cytoplasmic characteristics of cells in the normal, moderate dysplasia and severe dysplasia on cervical samples. The morphometric parameters selected for the analysis were nuclear/cytoplasmic ratio and the nuclear variations measured by image analysis on normal and precancerous lesions of cervical smears; several shape factors; area; perimeter; maximal, minimal and equivalent circle diameters. The results showed that the dysplasia samples exhibited changes in both cellular and nuclear form and size but lacked substantial differences in the tumor grades. The coefficient of nuclear variation is as follows to normal cell $21.8{\pm}3.2%$, moderate dysplasia $33.5{\pm}6.1%$, severe dysplasia $27.7{\pm}5.8$ of cervical smears.

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A Study on Heat Transport Phenomena in Fuel Cell Stack for the Performance Analysis of Phosphoric Acid Fuel Cell (인산형 연료전지의 성능해석을 위한 스택내의 열전달 현상에 관한 연구)

  • Moon, Duk-Yong;Gu, Ja-Yong;Seo, Jong-Chul;Kim, Yu
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1991.11a
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    • pp.160-164
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    • 1991
  • The effect of various parameters, such as temperature, current density and operating valtage on the performance of phosphoric acid fuel cell stack was studied by using numerical analysis. The utilization ratio of reaction gas, inlet condition of reaction air and cooling air, inlet condition of cooling air flow latin were changed regularly, The results showed good agreements with the existing results and experimental ones.

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Complex Features by Independent Component Analysis (독립성분분석에 의한 복합특징 형성)

  • 오상훈
    • Proceedings of the Korea Contents Association Conference
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    • 2003.05a
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    • pp.351-355
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    • 2003
  • Neurons in the mammalian visual cortex can be classified into the two main categories of simple cells and complex cells based on their response properties. Here, we find the complex features corresponding to the response of complex cells by applying the unsupervised independent component analysis network to input images. This result will be helpful to elucidate the information processing mechanism of neurons in primary visual cortex.

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Performance Analysis of LCD Cell Manufacturing System using ARENA Simulation (ARENA Simulation을 이용한 LCD Cell 공정 수행도 분석)

  • Yang, Hyun-Suk;Jeon, Tae-Bo
    • Journal of Industrial Technology
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    • v.31 no.B
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    • pp.59-65
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    • 2011
  • In this study, LCD Cell process has been analyzed through ARENA simulation. The major concern is to find the condition maximizing production rate (or quantity per hour). For the analysis, we have selected 4 factors and performed simulation experiments through $L_8(2^7)$ orthogonal arrays. Our results indicate that the production may be maximized with well selected conditions proposed in this study. The results obtained from this study may provide a good base for practical applications.

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