• Title/Summary/Keyword: Emission Map

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Analysis of Two-Dimensional Fluorescence Spectra in Biotechnological Processes by Artificial Neural Networks I - Classification of Fluorescence Spectra using Self-Organizing Maps - (인공신경망에 의한 생물공정에서 2차원 형광스펙트럼의 분석 I - 자기조직화망에 의한 형광스펙트럼의 분류 -)

  • Lee Kum-Il;Yim Yong-Sik;Kim Chun-Kwang;Lee Seung-Hyun;Chung Sang-Wook;Rhee Jong Il
    • KSBB Journal
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    • v.20 no.4
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    • pp.291-298
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    • 2005
  • Two-dimensional (2D) spectrofluorometer is often used to monitor various fermentation processes. The change in fluorescence intensities resulting from various combinations of excitation and emission wavelengths is investigated by using a spectra subtraction technique. But it has a limited capacity to classify the entire fluorescence spectra gathered during fermentations and to extract some useful information from the data. This study shows that the self-organizing map (SOM) is a useful and interpretative method for classification of the entire gamut of fluorescence spectral data and selection of some combinations of excitation and emission wavelengths, which have useful fluorometric information. Some results such as normalized weights and variances indicate that the SOM network is capable of interpreting the fermentation processes of S. cerevisiae and recombinant E. coli monitored by a 2D spectrofluorometer.

Development of CAPSS2SMOKE Program for Standardized Input Data of SMOKE Model (배출 모델 표준입력자료 작성을 위한 CAPSS2SMOKE 프로그램 개발)

  • Lee, Yong-Mi;Lee, Dae-Gyun;Lee, Mi-Hyang;Hong, Sung-Chul;Yoo, Chul;Jang, Kee-Won;Hong, Ji-Hyung;Lee, Suk-Jo
    • Journal of Korean Society for Atmospheric Environment
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    • v.29 no.6
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    • pp.838-848
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    • 2013
  • The Community Multiscale Air Quality (CMAQ) model is capable of providing high quality atmospheric chemistry profiles through the utilization of high-resolution meteorology and emissions data. However, it cannot simulate air quality accurately if input data are not appropriate and reliable. One of the most important inputs required by CMAQ is the air pollutants emissions, which determines air pollutants concentrations during the simulation. For the CMAQ simulation of Korean peninsula, we, in general, use the Korean National Emission Inventory data which are estimated by Clean Air Policy Support System (CAPSS). However, since they are not provided by model-ready emission data, we should convert CAPSS emissions into model-ready data. The SMOKE is the emission model we used in this study to generate CMAQ-ready emissions. Because processing the emissions data is very monotonous and tedious work, we have developed CAPSS2SMOKE program to convert CAPSS emissions into SMOKE-ready data with ease and effective. CAPSS2SMOKE program consists of many codes and routines such as source classification code, $PM_{10}$ to $PM_{2.5}$ ratio code, map projection conversion routine, spatial allocation routine, and so on. To verify the CAPSS2SMOKE program, we have run SMOKE using the CAPSS 2009 emissions and found that the SMOKE results inherits CAPSS emissions quite well.

POWER SPECTRUM ANALYSIS OF THE OMC1 IMAGE AT 1.1MM WAVELENGTH

  • Youn, So-Young;Kim, Sung-Eun
    • Journal of The Korean Astronomical Society
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    • v.45 no.4
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    • pp.93-99
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    • 2012
  • We present a 1.1mm emission map of the OMC1 region observed with AzTEC, a new large-format array composed of 144 silicon-nitride micromesh bolometers, that was in use at the James Clerk Maxwell Telescope (JCMT). These AzTEC observations reveal dozens of cloud cores and a tail of filaments in a manner that is almost identical to the submillimeter continuum emission of the entire OMC1 region at 450 and $850{\mu}m$. We perform Fourier analysis of the image with a modified periodogram and the density power spectrum, which provides the distribution of the length scale of the structures, is determined. The expected value of the periodogram converges to the resulting power spectrum in the mean squared sense. The present analysis reveals that the power spectrum steepens at relatively smaller scales. At larger scales, the spectrum flattens and the power law becomes shallower. The power spectra of the 1.1mm emission show clear deviations from a single power law. We find that at least three components of power law might be fitted to the calculated power spectrum of the 1.1mm emission. The slope of the best fit power law, ${\gamma}{\approx}-2.7$ is similar to those values found in numerical simulations. The effect of beam size and the noise spectrum on the shape and slope of the power spectrum are also included in the present analysis. The slope of the power law changes significantly at higher spatial frequency as the beam size increases.

Dust-scattered FUV halo around Spica

  • Choi, Yeon-Ju;Min, Kyoung-Wook;Park, Jae-Woo;Lim, Tae-Ho;Seon, Kwang-Il
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.1
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    • pp.73.2-73.2
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    • 2012
  • The far ultraviolet (FUV) wavelength (900-1750A) range includes a wealth of important astrophysical information related to the cooling of hot gas, fluorescent emission from H2 molecules, and starlight scattered off dust particles. Among these, we would like to focus on the scattered emission of the central star by dust with the example of the FUV halo surrounding ${\alpha}$ Vir (Spica). While scattering properties of dust have been studied with the GALEX data, the improved dataset of STSAT-1 revealed many detailed structures of this interesting region. For example, the FUV continuum map obtained from the STSAT-1 observations shows enhanced emission in the southern part of the Spica halo region, where the dust level is also high. In fact, the FUV continuum intensity is seen to have a good correlation with the IRAS 100${\mu}m$ emission data. It is also seen that the scattered spectrum is softer than the original one emitted by the central star, which is attributed to the increase in the dust-scattering albedo with wavelength. We have developed a Monte Carlo code that simulates dust scattering of light including multiple encounters. The code is applied to the present Spica halo region to obtain the scattering properties such as the albedo and the phase function asymmetry factor.

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A Study on the Impact Analysis of Introducing Emission Trading System on CBP Market and Policy Implications (배출권거래제도 실시가 CBP 시장에 미치는 영향분석 및 대응방안 수립연구)

  • Kim, Myung-Soo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.5
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    • pp.667-679
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    • 2015
  • The bearer of the power sector's ETS compliance cost is power consumer for the following reasons. Firstly, power companies are constrained in establishing appropriate strategies to comply with ETS regulations due to the structural differences between the domestic power market and emission trading system. In other words, because power companies do not have a right to determine price and production of electricity, they have to compete with other companies under disadvantaged conditions in the emission trading market. Secondly, because ETS compliance cost is part of power production costs as it is also clearly written in the national greenhouse gas reduction road-map and the second energy supply plan, the cost should be included in power price following the power market operation rule. Thirdly, the most effective method to reduce carbon emissions in power sector is to reduce power demand, which is efficiently achieved through raising power price to a realistic level. Low power price in Korea is the major cause of rising power demand which is also the major cause of rising GHG emission. Therefore, power sector's ETS compliance cost should be included in power price to encourage power consumers' actions on reducing power consumption. Fourthly, when externality cost occurs in the process of delivering public services, usually beneficiary pay principle is applied to identify the cost bearer. Since electricity is one representative public good, the bearer of power sector's ETS compliance cost is power consumer.

A Study on Serum Zinc Concentration in some Methamphetamine Abusers (Methamphetamine 남용자에 있어서 혈청 아연농도에 관한 연구)

  • Moon, Hyung-Il;Lee, Hoo-Rak;Lee, Soo-Il
    • Journal of Preventive Medicine and Public Health
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    • v.25 no.2 s.38
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    • pp.172-179
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    • 1992
  • The author investigated the zinc concentrations in sera of 110 methamphetaimine abusers (male 87, female 23) and of 41 healthy official workers(male 29, female 12) using inductively coupled plasma emission spectrometer. The serum zinc concentrations were analysed according to hepatitis C virus antibody(Anti HCV), hepatitis B surface antigen(HBsAg) and alanine aminotransferase(ALT) value in both groups. The analytical results were obtained as follows 1. The mean zinc concentration of MAP abuser group($298.5{\pm]246.9{\mu}g/100ml$) was 2.5 times higher than that of control group($118.8{\pm}25.4{\mu}g/100ml$). 2. The distributions of zinc concentration in both groups were skewed pattern. 3. The zinc concentrations were higher in Anti HCV-positive group and abnormal ALT value group than Anti HCV-negative group and normal ALT value group. But HBs-Ag positive group had lower zinc concentration than HBs-Ag negative group. 4. The number of anti HCV-positive subjects was increased and the zinc concentrations were decreasd in proportion to the abusing duration of MAP.

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Forecasting of Green Technologies on Intelligent Transportation System using Patent Analysis (특허 분석을 활용한 ITS 녹색 기술 예측)

  • Lee, Joo-Hyeon;Lee, Chul-Ung
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.2
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    • pp.233-241
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    • 2014
  • In this paper, it predicts green technology in the future with "Co-word" which is patent analysis, "technology road-map, life cycle graph of patent activation and trend analysis. Analysis result shows that it would help environment preservation because development of ITS green technology makes carbon emission effectiveness and ITS green technology is especially expected to develop in fuel saving field. In addition, fuel saving field is predicted to be advance more practically technology field with convergence with IT.

Brain Mapping: From Anatomics to Informatics

  • Sun, Woong
    • Applied Microscopy
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    • v.46 no.4
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    • pp.184-187
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    • 2016
  • Neuronal connectivity determines brain function. Therefore, understanding the full map of brain connectivity with functional annotations is one of the most desirable but challenging tasks in science. Current methods to achieve this goal are limited by the resolution of imaging tools and the field of view. Macroscale imaging tools (e.g., magnetic resonance imaging, diffusion tensor images, and positron emission tomography) are suitable for large-volume analysis, and the resolution of these methodologies is being improved by developing hardware and software systems. Microscale tools (e.g., serial electron microscopy and array tomography), on the other hand, are evolving to efficiently stack small volumes to expand the dimension of analysis. The advent of mesoscale tools (e.g., tissue clearing and single plane ilumination microscopy super-resolution imaging) has greatly contributed to filling in the gaps between macroscale and microscale data. To achieve anatomical maps with gene expression and neural connection tags as multimodal information hubs, much work on information analysis and processing is yet required. Once images are obtained, digitized, and cumulated, these large amounts of information should be analyzed with information processing tools. With this in mind, post-imaging processing with the aid of many advanced information processing tools (e.g., artificial intelligence-based image processing) is set to explode in the near future, and with that, anatomic problems will be transformed into informatics problems.

Optimization of Shift Control to Improve Driving Efficiency of Battery Electric Vehicles with Two-speed Transmission (2단 변속기 적용 전기차의 구동 효율 향상을 위한 변속 제어 최적화)

  • Taekho Chung;Younghee Kim
    • Journal of ILASS-Korea
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    • v.28 no.2
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    • pp.62-67
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    • 2023
  • Recently, the global automobile industry is aiming for a transition from internal combustion locomotives to zero-emission vehicles. Electric vehicles powered by battery energy can operate at peak performance and improve fuel economy by applying multiple motors or multi-speed transmissions. In order to design a two-speed transmission, it is necessary to evaluate and analyze the application system and performance of electric vehicles. In this study, control performance optimization of a twostage battery electric vehicle equipped with an AMT-based automatic transmission was performed and performance according to control pattern changes was analyzed. In order to improve the operating efficiency of the motor, the shift control that sets the optimal operating point according to the vehicle speed and required torque was derived from the motor efficiency map. The performance of battery energy consumption and transmission loss energy according to the hysteresis interval was analyzed and optimized. The hysteresis interval applied to the optimal shift map acted as a factor in reducing the frequency and loss of shifts. It has been shown that keeping the hysteresis interval at about 4 km/h can reduce energy consumption while reducing the number of shifts.

A Study on the Combustion Characteristics with Hydrogen Contents of SNG Fuel in Low-Swirl Combustor (저선회 연소기에서 합성천연가스(SNG) 연료의 수소함량에 따른 연소 특성 연구)

  • JEONG, HWANGHUI;KANG, KIJOONG;LEE, KEEMAN
    • Transactions of the Korean hydrogen and new energy society
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    • v.28 no.2
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    • pp.181-189
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    • 2017
  • This paper describes experimental results on combustion characteristics with hydrogen contents of synthetic natural gas (SNG) in low swirl combustor. To investigate the effect of hydrogen contents for premixed SNG flame, stability map, CH chemiluminescence images, flame spectrum analysis and emission performances were measured. In the results, as the hydrogen content was increased, the lean flammable limit was expanded and the flame length was decreased. The hydrogen contents affected the flame liftoff height, and it has different tendency according to the equivalence ratio and flame shape. The change of height and length of flame according to hydrogen contents is caused by the fast burning velocity of hydrogen, which can be confirmed by GRI 3.0 reaction mechanism in PREMIX code. The intensity of $OH^*$, $CH^*$ and $C_2^*$ was confirmed by spectrum analysis of flame. As a result, the $CH^*$ intensity was not significantly different according to hydrogen content. The increase of hydrogen contents influenced positively CO and NOx emission performances.