• 제목/요약/키워드: K-Series

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화학처리(化學處理) Silica의 SBR에 대한 보강효과(補强效果)에 관(關)한 연구(硏究) (Study on the Chemical Treatment of Silica for SBR Reinforcement)

  • 박건록;유종선;최세영
    • Elastomers and Composites
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    • 제29권1호
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    • pp.18-29
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    • 1994
  • The purpose of this study is to investigate reinforced effect between silica treated by coupling agents and rubber matrix under the configuration chemical bonds, and the effect of silica particles coated by organic polymers using aluminum chloride as the catalyst. In vulcanization characteristies were tested by Curastometer. The M-series vulcanizates were reached to the fastest optimum cure $time(t_{90})$ and R-series vulcanizates with the same formula had the shorted optimum cure times. Tensile characteristics measuring with a tensile tester revealed that the M-series vulcanizate was the best in the physical properties, such as tensile strength. In 100% modulus, however, the S-series vulcanizates appeared to be better than the other vulcanizates. Also, hardness showed the following order : S-series>R-series>M-series with the order of elongation R-series>M-series>S-series. In SEM test, shapes of chemical treated silicas were observed. The dispersion of filler in the SBR composite appeard uniformly. In RDS test for the dynamic characteristics, G' indicates that S-3 shows the highest value with the next order M-3>R-3, and the order of damping values are as followe: M-3>M-3>R-3.

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IAEA 방사성물질 안전운송규정에 대한 요약과 1996년도판 개정의 요점 (Technical Review of the IAEA Regulations for Transportation of Radioactive Materials and Major Revision in the 1996 IAEA Safety Standard Series No. ST-l)

  • 윤정현;김창락;조규성;최희주;박주완
    • Journal of Radiation Protection and Research
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    • 제23권3호
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    • pp.197-210
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    • 1998
  • IAEA는 1996년 방사성물질 안전 운송규정을 개정하였다. 이 규정은 방사성물질의 우송이나 포장에 관하여 우리나라를 비롯한 각국의 운송관련 규정의 기준이 되는 것으로 전반부에서는 IAEA가 1991년에 출간된 국제방사선방호위원회 (ICRP)의 신권고(Publication 60)를 받아들여 개정한 Safety Series No.115(전리방사선에 대한 방호 또는 방사선원의 안전을 위한 기본 안전기준)의 내용 등을 개정의 배경으로 하여 요약하였다. 후반부에서는 이들 개정된 기본 안전 기준들에 기초하여 IAEA의 새로운 운송규정에서 방사선방호의 목적으로 고찰된 요건들에 관한 주요 검토 개정사항을 방사선방어체계, 운송물등의 방사선준위, 방사선방호계획의 규정화, Q 시스템의 개념, 규제면제 등의 측면에서 Safety Series No.6 1985년판과 비교 검토하였다.

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고성능콘크리트의 제조에 사용되는 실리카 흄의 대체재로써 고분말 플라이애시의 적용성 검토 (Examination on Application of High-Performance Concrete using Fine Fly Ash as Replacement Material of Silica Fume)

  • 이범식;김상규;김상연;최선미;이건수
    • 한국세라믹학회지
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    • 제44권9호
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    • pp.502-509
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    • 2007
  • This paper investigated how Fine Fly Ash (FFA) with $14,000\;cm^2/g$ of Fineness affects the micro structure and material properties of High-Performance Concrete (HPC) before and after hardening from Material Test of HPC and Cement Paste. FFA is applied as a substitute of Silica Fume which is used necessarily in producing HPC. As a Material Test results, 5% FFA series specimen shows the lower fluidity than SF series specimen. When, however, the Fluidity of 10% FFA series specimen is increased reversely to the similar value of SF series specimen. The Porosity of FFA series specimen of 3 day age is displayed to $21{\sim}24%$, which is higher than $19{\sim}20%$ porosity of SF series specimen, while that of 28 day age is reached to $8{\sim}9%$, which is improved compared with 10% fo SF series specimen. It can be thought that FFA has better influence on the porosity of HPC in case of long term age. The Compressive strength of FFA series specimen shows the similar result with the property of porosity. The compressive strength of 28 day age FFA series specimen is $98{\sim}106%$ of SF series specimen and 107% of plain specimen to reveal better strength development.

The Design and Synthesis of 1,4-Substituted Piperazine Derivatives as Triple Reuptake Inhibitors

  • Han, Min-Soo;Han, Young-Hue;Song, Chi-Man;Hahn, Hoh-Gyu
    • Bulletin of the Korean Chemical Society
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    • 제33권8호
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    • pp.2597-2602
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    • 2012
  • Novel 1,4-substituted piperazine derivatives 5, Series A and B were designed by fragment analysis and molecular modification of 4 selected piperazine-containing compounds which possess antidepressant activity. We synthesized new 39 analogues of Series A and 10 compounds of Series B, respectively. The antidepressant screening against DA, NE, and serotonin neurotransmitter uptake inhibition was carried out using the Neurotransmitter Transporter Uptake Assay Kit. The compounds in Series B showed relatively higher reuptake inhibitory activity for SERT, NET, and DAT than those in Series A. The length of spacer between the central piperazine core and the terminal phenyl ring substituted at the piperazine ring in Series B seems to exert an important role in the activity.

60kV, 300A, 3kHz 펄스전원 장치 설계 (Design of 60KV, 300A, 3kHz Pulse Power Supply)

  • 류홍제;장성록;김종수;임근희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.904-905
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    • 2008
  • In this paper, a novel 60kV, 300A, 3kHz pulsed power supply based on IGBT stacks is proposed. Proposed scheme consists of series connected 9 power stages to generate maximum 60kV output pulse and 15kW series resonant power inverter to charge DC capacitor voltage. Each power stages are configured as 8 series connected power cells and each power cell generates up to 830VDC, 300A pulses. Finally pulse output voltage is applied using total 72 series connected IGBTs. The synchronization of gating signal is important of series operation of IGBTs. For gating signal synchronization, full bridge inverter and pulse transformer generates on-off signals of IGBT gating and specially designed gate power circuit was used.

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A Note on Gaussian Series Rings

  • Kim, Eun Sup;Lee, Seung Min;Lim, Jung Wook
    • Kyungpook Mathematical Journal
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    • 제57권3호
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    • pp.419-431
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    • 2017
  • In this paper, we define a new kind of formal power series rings by using Gaussian binomial coefficients and investigate some properties. More precisely, we call such a ring a Gaussian series ring and study McCoy's theorem, Hermite properties and Noetherian properties.

Improved Linear Dynamical System for Unsupervised Time Series Recognition

  • Thi, Ngoc Anh Nguyen;Yang, Hyung-Jeong;Kim, Soo-Hyung;Lee, Guee-Sang;Kim, Sun-Hee
    • International Journal of Contents
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    • 제10권1호
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    • pp.47-53
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    • 2014
  • The paper considers the challenges involved in measuring the similarities between time series, such as time shifts and the mixture of frequencies. To improve recognition accuracy, we investigate an improved linear dynamical system for discovering prominent features by exploiting the evolving dynamics and correlations in a time series, as the quality of unsupervised pattern recognition relies strongly on the extracted features. The proposed approach yields a set of compact extracted features that boosts the accuracy and reliability of clustering for time series data. Experimental evaluations are carried out on time series applications from the scientific, socio-economic, and business domains. The results show that our method exhibits improved clustering performance compared to conventional methods. In addition, the computation time of the proposed approach increases linearly with the length of the time series.

Extending the Scope of Automatic Time Series Model Selection: The Package autots for R

  • Jang, Dong-Ik;Oh, Hee-Seok;Kim, Dong-Hoh
    • Communications for Statistical Applications and Methods
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    • 제18권3호
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    • pp.319-331
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    • 2011
  • In this paper, we propose automatic procedures for the model selection of various univariate time series data. Automatic model selection is important, especially in data mining with large number of time series, for example, the number (in thousands) of signals accessing a web server during a specific time period. Several methods have been proposed for automatic model selection of time series. However, most existing methods focus on linear time series models such as exponential smoothing and autoregressive integrated moving average(ARIMA) models. The key feature that distinguishes the proposed procedures from previous approaches is that the former can be used for both linear time series models and nonlinear time series models such as threshold autoregressive(TAR) models and autoregressive moving average-generalized autoregressive conditional heteroscedasticity(ARMA-GARCH) models. The proposed methods select a model from among the various models in the prediction error sense. We also provide an R package autots that implements the proposed automatic model selection procedures. In this paper, we illustrate these algorithms with the artificial and real data, and describe the implementation of the autots package for R.

Operational Characteristics of Flux-lock Type SFCL using Series Resonance

  • Lim, Sung-Hun;Han, Byoung-Sung;Choi, Hyo-Sang
    • Transactions on Electrical and Electronic Materials
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    • 제6권4호
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    • pp.159-163
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    • 2005
  • We analyzed the fault current limiting characteristics of a flux-lock type $high-T_c$ super­conducting fault current limiter (HTSC-FCL) using series resonance between capacitor for series resonance and magnetic field coil which was installed in coil 3. The capacitor for the series resonance in the flux-lock type HTSC-FCL was inserted in series with the magnetic field coil to apply enough magnetic field into HTSC element, which resulted in higher resistance of HTSC element. However, the impedance of the flux lock type HTSC-FCL has started to decrease since the current of coil 3 exceeded one of coil 2 after a fault accident. The decrease in the impedance of the FCL causes the line current to increase and, if continues, the capacitor for the series resonance to be destructed. To avoid this operation, the flux-lock type HTSC-FCL requires an additional device such as fault current interrupter or control circuit for magnetic field. From the experimental results, we investigated the parameter range where the operation as mentioned above for the designed flux-lock type HTSC-FCL using series resonance occurred.

Chaotic Forecast of Time-Series Data Using Inverse Wavelet Transform

  • Matsumoto, Yoshiyuki;Yabuuchi, Yoshiyuki;Watada, Junzo
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.338-341
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    • 2003
  • Recently, the chaotic method is employed to forecast a near future of uncertain phenomena. This method makes it possible by restructuring an attractor of given time-series data in multi-dimensional space through Takens' embedding theory. However, many economical time-series data are not sufficiently chaotic. In other words, it is hard to forecast the future trend of such economical data on the basis of chaotic theory. In this paper, time-series data are divided into wave components using wavelet transform. It is shown that some divided components of time-series data show much more chaotic in the sense of correlation dimension than the original time-series data. The highly chaotic nature of the divided component enables us to precisely forecast the value or the movement of the time-series data in near future. The up and down movement of TOPICS value is shown so highly predicted by this method as 70%.

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