• Title/Summary/Keyword: UM Elements

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Herschel/PACS spectroscopy of the supernova remnant G21.5-0.9

  • Cha, Heechan;An, Hongjun
    • The Bulletin of The Korean Astronomical Society
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    • v.45 no.1
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    • pp.53.1-53.1
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    • 2020
  • We present Herschel Space Observatory far-IR observations of the supernova remnant(SNR) G21.5-0.9. We search PACS-IFU data for 63um [O I], 88um [O III], 157um [C II] emission lines and detect the [O II] and the [C II]. We then produce emission line maps to check the spatial distribution of the elements. We compare the maps to Radio, IR-photometrics, and X-ray images in order to understand interaction of the ejecta with the Pulsar Wind Nebula(PWN) and physical environment in the SNR.

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Hardware Implantation of De-Binarizerin HEVC CABAC Decoder (HEVC CABAC 복호화기의 역이진화기 설계)

  • Kim, Doohwan;Kim, Sohyun;Lee, Seongsoo
    • Journal of IKEEE
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    • v.20 no.3
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    • pp.326-329
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    • 2016
  • HEVC CABAC encoder performs binary arithmetic encoding after syntax elements are converted into binary values. Therefore, in HEVC CABAC decoder, binarized syntax elements from binary arithmetic decoder should be de-binarized into original syntax elements in the de-binarizer. In this paper, a HEVC CABAC de-binarizer architecture was proposed and implemented. It consists of a controller that analyzes and merges binarized syntax elements and an engine that converts merged binarized syntax elements into original syntax elements. The designed de-binarizer was described in Verilog HDL and it was synthesized and verified in 0.18um process technology. Its gate count and maximum operating frequency are 3,114 gates and 220 MHz, respectively.

Comparison of MLR and SVR Based Linear and Nonlinear Regressions - Compensation for Wind Speed Prediction (MLR 및 SVR 기반 선형과 비선형회귀분석의 비교 - 풍속 예측 보정)

  • Kim, Junbong;Oh, Seungchul;Seo, Kisung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.5
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    • pp.851-856
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    • 2016
  • Wind speed is heavily fluctuated and quite local than other weather elements. It is difficult to improve the accuracy of prediction only in a numerical prediction model. An MOS (Model Output Statistics) technique is used to correct the systematic errors of the model using a statistical data analysis. The Most of previous MOS has used a linear regression model for weather prediction, but it is hard to manage an irregular nature of prediction of wind speed. In order to solve the problem, a nonlinear regression method using SVR (Support Vector Regression) is introduced for a development of MOS for wind speed prediction. Experiments are performed for KLAPS (Korea Local Analysis and Prediction System) re-analysis data from 2007 to 2013 year for Jeju Island and Busan area in South Korea. The MLR and SVR based linear and nonlinear methods are compared to each other for prediction accuracy of wind speed. Also, the comparison experiments are executed for the variation in the number of UM elements.

Alias Component Permutation Matrices (ACPM) for the $3^n$ Parallel Fractional Factorial Design

  • Um, Jung-Koog
    • Journal of the Korean Statistical Society
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    • v.9 no.1
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    • pp.1-12
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    • 1980
  • A parallel flats faraction for the $3^n$ factorial experiment is symbolically written as $At = C(r\timesf)$ where $A(r\timesn)$ is of rank r. The A-matrix partitions the nonnegligible effects into $(3^{n-r}-1)/2+1$ alias sets. The $U_i$ effects in the i-th alias set are related pairwise by elements from $S_3$, the symmetric group on three symbols. For each alias set the f flats produce an $f \times u_i$ alias componet permutation matrices (ACPM) with elements from $S_3$. All the information concerning the relationships among levels of the effects is contained in the ACPM.

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A Study on the Ritual Dress of Jeung San Kyo (증산교 의례복식에 관한 연구)

  • 임상임;김현경
    • Journal of the Korean Home Economics Association
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    • v.39 no.5
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    • pp.89-105
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    • 2001
  • This study on Jeung San Kyo, one of Korea's new religions, considered the name, kind, form, color and the thoughts of ritual dress which is involved in 15 religious blanches acting currently according to books and the actual research. The following is below. 1 Each names of ritual dresses called rigious branches are Bob Bok(법복), Doh Bok(도복), Yeah Bok(예복) and Jea Bok(제복). 2 In most religious blanches, ritual dress is the Korean cloths which Poh is wear above and Kwan is put on, and the form of Poh(포) is the similar with Durumagi(두루마기), Danryungpoh(단령포), Jungchimak(중치막), Jikryungpoh(직령포) etc, but not the form of Git, Moo and Yiohmim. Kwanmoh is named Chill-Chung-Kwan(칠층관), Yiun-Hwa-Kwan(연화관), Yiun-Kwan(연관), In-Hwa-Kwan(인화관), Tong-Chon-Kwan(통천관) etc. 3. In most religious orders but Dae Suun Jin Li Hueay(대순진리회), Jeung San Doe Jang(증산도장), Colors are used, white, lightblue, and yellow is used in Jeung San Pop Jong Kyo(증산법종교), Dong Doe Pop Jong Gyum Gang Doe(동도법 종금강도). White color means the mind of a people tradition, and light blue expresses an Oriental nation, namely, “Korea”, and is the color representing Jeung San Kyo, and yellow shows the central religion in the future. 4. Jeung San Kyo ceremony fashion reflects the ideologies of the principal role, the Um and Yang-five elements, and, nationalism according to form, color.

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Verification and Comparison of Forecast Skill between Global Seasonal Forecasting System Version 5 and Unified Model during 2014 (2014년 계절예측시스템과 중기예측모델의 예측성능 비교 및 검증)

  • Lee, Sang-Min;Kang, Hyun-Suk;Kim, Yeon-Hee;Byun, Young-Hwa;Cho, ChunHo
    • Atmosphere
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    • v.26 no.1
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    • pp.59-72
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    • 2016
  • The comparison of prediction errors in geopotential height, temperature, and precipitation forecasts is made quantitatively to evaluate medium-range forecast skills between Global Seasonal Forecasting System version 5 (GloSea5) and Unified Model (UM) in operation by Korea Meteorological Administration during 2014. In addition, the performances in prediction of sea surface temperature anomaly in NINO3.4 region, Madden and Julian Oscillation (MJO) index, and tropical storms in western north Pacific are evaluated. The result of evaluations appears that the forecast skill of UM with lower values of root-mean square error is generally superior to GloSea5 during forecast periods (0 to 12 days). The forecast error tends to increase rapidly in GloSea5 during the first half of the forecast period, and then it shows down so that the skill difference between UM and GloSea5 becomes negligible as the forecast time increases. Precipitation forecast of GloSea5 is not as bad as expected and the skill is comparable to that of UM during 10-day forecasts. Especially, in predictions of sea surface temperature in NINO3.4 region, MJO index, and tropical storms in western Pacific, GloSea5 shows similar or better performance than UM. Throughout comparison of forecast skills for main meteorological elements and weather extremes during medium-range, the effects of initial and model errors in atmosphere-ocean coupled model are verified and it is suggested that GloSea5 is useful system for not only seasonal forecasts but also short- and medium-range forecasts.

Separation of Light Rare-Earth Elements Using Gas-Pressurized Extraction Chromatography

  • Kim, Namuk;Park, Jai Il;Um, Wooyong;Kim, Jihye
    • Mass Spectrometry Letters
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    • v.12 no.4
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    • pp.186-191
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    • 2021
  • A new method for chemical separation of light rare-earth elements (LREEs) using gas-pressurized extraction chromatography (GPEC) is described. GPEC is a microscale column chromatography system that features a constant flow of solvents, which is created by pressurized nitrogen gas. The separation column with a Teflon tubing was packed with LN resin. The proposed GPEC method facilitates production of lesser chemical wastes and faster separation owing to the use of low solvent volume compared to traditional column chromatography. We evaluated the separation of Ba, La, Ce, and Nd using various elution solvents. The column reproducibility of the proposed GPEC system ranged from 2.4% to 4.9% with RSDs of recoveries, and the column-to-column reproducibility ranged from 3.1% to 6.3% with RSDs of recoveries. The proposed technique is robust, and it can be useful for the fast separation of LREEs.

A Detection Matrix for $3N^n$ Search Design

  • Um, Jung-Koog
    • Journal of the Korean Statistical Society
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    • v.12 no.2
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    • pp.61-68
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    • 1983
  • A parallel flats fraction for the $3^n$ factorial experiment is defined as the union of flats, ${t$\mid$At=C_i(mod 3)}, i=1,2,\cdot,f$, in EG(n,3) and is symbolically written as At=C where A is of rank r. The A matrix partitions the effects into u+1 alias sets where $u=(3^{n-r}-1)/2$. For each alias set the f flats produce an alias component permutation matrix (ACPM) with elements from $S_3$. In this paper, a detection vector of the ACPM was constructed for each combination of k or fewer two-factor interactions. Also the relationship between the detection vectors has been shown.

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Derivation of Transfer Function for the Cross-Coupled Filter Systems Using Chain Matrices

  • Um, Kee-Hong
    • International journal of advanced smart convergence
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    • v.7 no.1
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    • pp.7-14
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    • 2018
  • In this paper, we derive a transfer function of cross-coupled microwave filter systems by using a characteristics of chain matrices. Depending on the lumped element of capacitor or inductor, the cross-coupled system is negatively- or positively system. We used a ladder network as a starting system composed of several subsystems connected in chain. Each subsystem is descrived by Laplace impedance. By solving the transmission zero characteristic equation derived from the cascaded subsystems, we can find the zeros of filter system with externally cross-coupled lumped elements. With the cross-coupled elements of capacitors, the numerator polynomial of system transfer function is used to locate the quadruplet zeros in complex plane. We show the polynomoials of numerator and denominator of cascaded transfer function, obtaining the zeros of the cross-coupled system.

Comparison of Linear and Nonlinear Regressions and Elements Analysis for Wind Speed Prediction (풍속 예측을 위한 선형회귀분석과 비선형회귀분석 기법의 비교 및 인자분석)

  • Kim, Dongyeon;Seo, Kisung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.5
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    • pp.477-482
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    • 2015
  • Linear regressions and evolutionary nonlinear regression based compensation techniques for the short-range prediction of wind speed are investigated. Development of an efficient MOS(Model Output Statistics) is necessary to correct systematic errors of the model, but a linear regression based MOS is hard to manage an irregular nature of weather prediction. In order to solve the problem, a nonlinear and symbolic regression method using GP(Genetic Programming) is suggested for a development of MOS for wind speed prediction. The proposed method is compared to various linear regression methods for prediction of wind speed. Also, statistical analysis of distribution for UM elements for each method is executed. experiments are performed for KLAPS(Korea Local Analysis and Prediction System) re-analysis data from 2007 to 2013 year for Jeju Island and Busan area in South Korea.