• Title/Summary/Keyword: time-varying

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The change of East Asian Monsoon to $CO_2$ increase

  • Kripalani, R.H.;Oh, J.H.;Chaudhari, H.S.
    • The Korean Journal of Quaternary Research
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    • v.20 no.1 s.26
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    • pp.9-27
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    • 2006
  • The East Asian (China, Korea and Japan) summer monsoon precipitation and its variability are examined from the outputs of the 22 coupled climate models performing coordinated experiments leading to the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) following the multi-model ensemble (MME) technique. Results are based on averages of all the available models. The shape of the annual cycle with maximum during the summer monsoon period is simulated by the coupled climate models. However, models fail to simulate the minimum peak in July which is associated with northward shifts of the Meiyu-Changma-Baiu precipitation band. The MME precipitation pattern is able to capture the spatial distribution of rainfall associated with the location of the north Pacific subtropical high and the Meiyu-Changma-Baiu frontal zone. However precipitation over the east coast of China, Korea-Japan peninsular and the adjoining oceanic regions is underestimated. Future projections to the radiative forcing of doubled $CO_2$ scenario are examined. The MME reveals an increase in precipitation varying from 5 to 10 %, with an average of 7.8 % over the East Asian region at the time of $CO_2$ doubling. However the increases are statistically significant only over the Korea-Japan peninsula and the adjoining north China region. The increase in precipitation may be attributed to the projected intensification of the subtropical high, and thus the associated influx of moist air from the Pacific to inland. The projected changes in the amount of precipitation are directly proportional to the changes in the strength of the subtropical high. Further a possible increase in the length of the summer monsoon precipitation period from late spring through early autumn is suggested.

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Determination of porosity and effective porosity of saturated porous media using a permittivity method in the laboratory (유전율법을 이용한 다공질 매질의 공극률 및 유효공극률의 측정에 관한 연구)

  • 김만일;니시가끼마코토
    • The Journal of Engineering Geology
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    • v.13 no.4
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    • pp.419-428
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    • 2003
  • In order to evaluate groundwater movement and the infiltration of contaminants, such as petroleum products, the determination of porosity and effective porosity is very important. Porosity and effective porosity are important physical parameters that determine the transfer and movement of water and solutes in porous media. Various methods of determining these parameters have been developed, with varying degrees of accuracy and applicability. Most of the existing methods produce static results. They do not produce instantaneous and real time of porosity and effective porosity in a porous media. In this study, we used a new permittivity method called Frequency Domain Reflectometry with Vector analyzer (FDR-V) to determine the porosity and effective porosity of some sand samples in the laboratory. The advantage of the FDR-V method is that it instantaneously determines the temporal variation of dielectric constants of porous media. Then, the porosity and the effective porosity of porous media are computed using well established empirical equations. Results obtained from the FDR-V method compared favorably with results from other permittivity methods such as gravimetric, injection and replacement tests. The ratio of effective porosity to porosity was 85 - 92 %, when FDR-V was used. This value compared favourably with 90 %, which has been usually quoted in previous studies. Considering the convenience and its applicability, the EDR-V permittivity holds a great potential in porous media and contaminant transport studies.

High-Level Expression of T4 Endonuclease V in Insect Cells as Biologically Active Form

  • Kang, Chang-Soo;Son, Seung-Yeol;Bang, In-Seok
    • Journal of Microbiology and Biotechnology
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    • v.16 no.10
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    • pp.1583-1590
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    • 2006
  • T4 endonuclease V (T4 endo V) [EC 3. 1. 25. 1], found in bacteriophage T4, is responsible for excision repair of damaged DNA. The enzyme possesses two activities: a cyclobutane pyrimidine dimer DNA glycosylase (CPD glycosylase) and an apyrimidic/apurinic endonuclease (AP lyase). T4 denV (414 bp cDNA) encoding T4 en do V (138 amino acid) was synthesized and expressed using either an expression vector, pTriEx-4, in E. coli or a baculovirus AcNPV vector, pBacPAK8, in insect cells. The recombinant His-Tag/T4 endo V (rHis-Tag/T4 endo V) protein expressed from bacteria was purified using one-step affinity chromatography with a HiTrap Chelating HP column and used to make rabbit anti-His-Tag/T4 endo V polyclonal antibody for detection of recombinant T4 endo V (rT4 endo V) expressed in insect cells. In the meantime, the recombinant baculovirus was obtained by cotransfection of BacPAK6 viral DNA and pBP/T4 endo V in Spodoptera frugiperda (Sf21) insect cells, and used to infect Sf21 cells to overexpress T4 endo V protein. The level of rT4 endo V protein expressed in Sf21 cells was optimized by varying the virus titers and time course of infection. The optimal expression condition was set as follows; infection of the cells at a MOI of 10 and harvest at 96 h post-infection. Under these conditions, we estimated the amount of rT4 endo V produced in the baculovirus expression vector system to be 125 mg/l. The rT4 endo V was purified to homogeneity by a rapid procedure, consisting of ion-exchange, affinity, and reversed phase chromatographies, based on FPLC. The rT4 endo V positively reacted to an antiserum made against rHis-Tag/T4 endo V and showed a residual nicking activity against CPD-containing DNA caused by UV. This is the first report to have T4 endo V expressed in an insect system to exclude the toxic effect of a bacterial expression system, retaining enzymatic activity.

The Characteristics of the Color tones on Korean Traditional Color Blue and Red (한국전통색 청$\cdot$홍의 색조 특성)

  • 이경희
    • Archives of design research
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    • v.12 no.4
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    • pp.317-326
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    • 1999
  • The Korean traditional color passed down over countless generations has surpassed both surpassed both time and space and continue today to breathe life into its people's everyday. In order to clarify the characteristics of Korean traditional color blue and red, we investigate the names of them and measured the color tones of textile remains in Chosun era. The characteristics of Korean traditional color blue and red have been surveyed by means of the examination of color names in many famous literatures in Chosun era. Korean terms for color tones were characterized by enormous variety of epithes crowned on them. The color names mentioned contain many unaccountable epithes which were characterized also deep colors and light colors were dominant in it. As a means of enhancing possibilities within limited colors, the commoners increased the names for varying tones of blue color group(32kinds) and red color group(40kinds). These "blue(indigo dyeing)' and 'red(safflower dyeing)' in Chosun era were shown very high frequency in use and the costume colors in Royal Court. With combination of these various blue and red colors they represented a thought of color based on Yinyang Theory and created a polished aesthetic taste. The color samples of textile remains in museum were measured and designated by Munsell color system and the ISCC-NBS color designation system. THe appeared rates were derived on Chosun era and features of colors using on the period were discussed. We aim to present specific recipes in indigo dyeing and safflower dyeing for using our apparel product and folk art.

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Aldehydes formation in the treatment of humic acid by Ozone/GAC hybrid process (오존/활성탄 혼합공정에 의한 부식산 처리에 따른 알데히드류의 생성특성)

  • Choi, Eun-Hye;Kim, Kei-Woul;Rhee, Dong Seok
    • Analytical Science and Technology
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    • v.18 no.6
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    • pp.535-541
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    • 2005
  • The formation of aldehydes as by-product was investigated in the treatment of humic acid by Ozone/GAC hybrid process. Ozone/GAC hybrid process was operated under varying initial pH (pH 3~pH 11) and temperature ($0^{\circ}C$, $20^{\circ}C$, $40^{\circ}C$) at an ozone dose of 0.08 g $O_3/g$ DOC and GAC amount of 16.5 v/v%. The results were compared with those of GAC adsorption and ozone alone process. The formed aldehydes were derivatized by PFBOA method and quantified by GC/PDECD. Formaldehyde and glyoxal were identified as the substantial aldehydes in the treatment of humic acid by ozone/GAC hybrid process. Quantities of formaldehyde and glyoxal formed in ozone/GAC hybrid process were less than one in ozone alone process. In ozone/GAC hybrid process, formaldehyde was produced with a considerable concentration of 400 ppb at pH 11 and pH 7 at the beginning of the treatment, and then the concentration was decreased with time. And, the concentrations of formaldehyde and glyoxal were increased with an increase of temperature. They were respectively 520 ppb and 120 ppb at the beginning of the treatment at $40^{\circ}C$.

A Fast-Loaming Algorithm for MLP in Pattern Recognition (패턴인식의 MLP 고속학습 알고리즘)

  • Lee, Tae-Seung;Choi, Ho-Jin
    • Journal of KIISE:Computing Practices and Letters
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    • v.8 no.3
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    • pp.344-355
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    • 2002
  • Having a variety of good characteristics against other pattern recognition techniques, Multilayer Perceptron (MLP) has been used in wide applications. But, it is known that Error Backpropagation (EBP) algorithm which MLP uses in learning has a defect that requires relatively long leaning time. Because learning data in pattern recognition contain abundant redundancies, in order to increase learning speed it is very effective to use online-based teaming methods, which update parameters of MLP pattern by pattern. Typical online EBP algorithm applies fixed learning rate for each update of parameters. Though a large amount of speedup with online EBP can be obtained by choosing an appropriate fixed rate, fixing the rate leads to the problem that the algorithm cannot respond effectively to different leaning phases as the phases change and the learning pattern areas vary. To solve this problem, this paper defines learning as three phases and proposes a Instant Learning by Varying Rate and Skipping (ILVRS) method to reflect only necessary patterns when learning phases change. The basic concept of ILVRS is as follows. To discriminate and use necessary patterns which change as learning proceeds, (1) ILVRS uses a variable learning rate which is an error calculated from each pattern and is suppressed within a proper range, and (2) ILVRS bypasses unnecessary patterns in loaming phases. In this paper, an experimentation is conducted for speaker verification as an application of pattern recognition, and the results are presented to verify the performance of ILVRS.

Subband Sparse Adaptive Filter for Echo Cancellation in Digital Hearing Aid Vent (디지털 보청기 벤트 반향제거를 위한 부밴드 성긴 적응필터)

  • Bae, Hyeonl-Deok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.5
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    • pp.538-542
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    • 2018
  • Echo generated in digital hearing aid vent give rise to user's discomfort. For cancelling feedback echo in vent, it is required to estimate vent impulse response exactly. The vent impulse response has time varying and sparse characteristics. The IPNLMS has been known a useful adaptive algorithm to estimate vent impulse response with these characteristics. In this paper, subband sparse adaptive filter which applying IPNLMS to subband hearing aid structure is proposed to cancel echo of vent by estimating sparse vent impulse response. In the propose method, the decomposition of input signal to subband can pre-whiten each subband signal, so adaptive filter convergence speed can be improved. And the poly phase component decomposition of adaptive filter increases sparsity of each components, and the better echo cancellation can be possible without additional computation. To derive coefficients update equation of the adaptive filter, by defining the cost function based weight NLMS is defined, and the coefficient update equation of each subband is derived. For verifying performances of the adaptive filter, convergence speed, and steady state error by white signal input, and echo cancelling results by real speech input are evaluated by comparing conventional adaptive filters.

Development of a Simulation Prediction System Using Statistical Machine Learning Techniques (통계적 기계학습 기술을 이용한 시뮬레이션 결과 예측 시스템 개발)

  • Lee, Ki Yong;Shin, YoonJae;Choe, YeonJeong;Kim, SeonJeong;Suh, Young-Kyoon;Sa, Jeong Hwan;Lee, JongSuk Luth;Cho, Kum Won
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.11
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    • pp.593-606
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    • 2016
  • Computer simulation is widely used in a variety of computational science and engineering fields, including computational fluid dynamics, nano physics, computational chemistry, structural dynamics, and computer-aided optimal design, to simulate the behavior of a system. As the demand for the accuracy and complexity of the simulation grows, however, the cost of executing the simulation is rapidly increasing. It, therefore, is very important to lower the total execution time of the simulation especially when that simulation makes a huge number of repetitions with varying values of input parameters. In this paper we develop a simulation service system that provides the ability to predict the result of the requested simulation without actual execution for that simulation: by recording and then returning previously obtained or predicted results of that simulation. To achieve the goal of avoiding repetitive simulation, the system provides two main functionalities: (1) storing simulation-result records into database and (2) predicting from the database the result of a requested simulation using statistical machine learning techniques. In our experiments we evaluate the prediction performance of the system using real airfoil simulation result data. Our system on average showed a very low error rate at a minimum of 0.9% for a certain output variable. Using the system any user can receive the predicted outcome of her simulation promptly without actually running it, which would otherwise impose a heavy burden on computing and storage resources.

Fiber-optic Temperature Sensor Using a Silicone Oil and an OTDR (OTDR을 이용한 실리콘 오일 기반의 광섬유 온도 센서)

  • Jang, Jae Seok;Yoo, Wook Jae;Shin, Sang Hun;Lee, Dong Eun;Kim, Mingeon;Kim, Hye Jin;Song, Young Beom;Jang, Kyoung Won;Cho, Seunghyun;Lee, Bongsoo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.11
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    • pp.1592-1597
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    • 2015
  • In this study, we developed a fiber-optic temperature sensor (FOTS) based on a silicone oil and an optical time domain reflectometer (OTDR) to apply the measurement of a coolant leakage in the nuclear power plant. The sensing probe of the FOTS consists of a silicone oil, a stainless steel cap, a FC terminator, and a single mode optical fiber. Fresnel reflection arising at the interface between the silicone oil and the single mode optical fiber in the sensing probe is changed by varying the refractive index of the silicone oil according to the temperature. Therefore, we measured the optical power of the light signals reflected from the sensing probe. The measurable temperature range of the FOTS using a Cu-coated silica fiber is from $70^{\circ}C$ to $340^{\circ}C$ and the maximum operation temperature of the FOTS is sufficient for usage at the secondary system in the nuclear power plant.

The Study of Radiation Exposure Reduction by Developing Corpus Striatum Phantom (두개골-선조체 팬텀을 이용한 선량 저감화 방안 연구)

  • Kim, Jung-Soo;Park, Chan-Rok
    • Journal of radiological science and technology
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    • v.40 no.4
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    • pp.595-603
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    • 2017
  • The study is to produced a brain phantom simulating corpus striatum, which can evaluate the progression of parkinson's disease, to investigate possibility of reducing the brain exposure dose to CT while maintaining optimal image quality during PET-CT examinations. CT scans were performed by varying tube voltage (100, 120 kVp) and tube current (80, 140, 200 mAs) with $^{18}F$ FP-CIT injected into the phantom's hot sphere and background (radioactivity ratio 3:1)(reference condition; 120 kVp, 140 mAs). Estimated effective dose was calculated by using conversion factor according to each condition, and image quality was evaluated by setting SNR and CRChot image evaluation factors. Experimental results showed that the predicted effective dose below the CT imaging reference condition was reduced by at least 10% and by up to 60%, and the predicted effective dose beyond the reference condition was increased by 40%. In addition, there was no significant difference between SNR and CRChot of PET images, and it was confirmed that brain dose decreased with decrease of tube voltage and tube current. At the same time, there was no significant change in the quality of the image in terms of SNR and CRChot despite the change in scan conditions. This fact suggests that the quality of the images acquired under the existing dose conditions can be obtained even at low dose conditions and it is expected that it will be possible to use the brain PET-CT scan as a basic data for the research on reduction of dose and improvement of image quality.