• Title/Summary/Keyword: transformation method

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Analysis of extreme wind speed and precipitation using copula (코플라함수를 이용한 극단치 강풍과 강수 분석)

  • Kwon, Taeyong;Yoon, Sanghoo
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.4
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    • pp.797-810
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    • 2017
  • The Korean peninsula is exposed to typhoons every year. Typhoons cause huge socioeconomic damage because tropical cyclones tend to occur with strong winds and heavy precipitation. In order to understand the complex dependence structure between strong winds and heavy precipitation, the copula links a set of univariate distributions to a multivariate distribution and has been actively studied in the field of hydrology. In this study, we carried out analysis using data of wind speed and precipitation collected from the weather stations in Busan and Jeju. Log-Normal, Gamma, and Weibull distributions were considered to explain marginal distributions of the copula. Kolmogorov-Smirnov, Cramer-von-Mises, and Anderson-Darling test statistics were employed for testing the goodness-of-fit of marginal distribution. Observed pseudo data were calculated through inverse transformation method for establishing the copula. Elliptical, archimedean, and extreme copula were considered to explain the dependence structure between strong winds and heavy precipitation. In selecting the best copula, we employed the Cramer-von-Mises test and cross-validation. In Busan, precipitation according to average wind speed followed t copula and precipitation just as maximum wind speed adopted Clayton copula. In Jeju, precipitation according to maximum wind speed complied Normal copula and average wind speed as stated in precipitation followed Frank copula and maximum wind speed according to precipitation observed Husler-Reiss copula.

An Image Separation Scheme using Independent Component Analysis and Expectation-Maximization (독립성분 분석과 E-M을 이용한 혼합영상의 분리 기법)

  • 오범진;김성수;유정웅
    • Journal of KIISE:Information Networking
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    • v.30 no.1
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    • pp.24-29
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    • 2003
  • In this paper, a new method for the mixed image separation is presented using the independent component analysis, the innovation process, and the expectation-maximization. In general, the independent component analysis (ICA) is one of the widely used statistical signal processing schemes, which represents the information from observations as a set of random variables in the from of linear combinations of another statistically independent component variables. In various useful applications, ICA provides a more meaningful representation of the data than the principal component analysis through the transformation of the data to be quasi-orthogonal to each other. which can be utilized in linear projection.. However, it has been known that ICA does not establish good performance in source separation by itself. Thus, in order to overcome this limitation, there have been many techniques that are designed to reinforce the good properties of ICA, which improves the mixed image separation. Unfortunately, the innovation process still needs to be studied since it yields inconsistent innovation process that is attached to the ICA, the expectation and maximization process is added. The results presented in this paper show that the proposed improves the image separation as presented in experiments.

Changes in the Characteristics of Dissolved Organic Matter by Microbial Transformation and the Subsequent Effects on Copper Binding (생분해에 따른 용존 유기물질 성상 및 중금속 구리와의 결합특성 변화)

  • Jung, Ka-Young;Hur, Jin
    • Journal of Korean Society of Environmental Engineers
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    • v.34 no.1
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    • pp.49-54
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    • 2012
  • Microbial changes in the characteristics of dissolved organic matter (DOM) and the subsequent effects on the conditional stability constants of copper were investigated using 14 day-incubations of Pony Lake fulvic acid (PLFA), Suwannee River fulvic acid (SRFA) and the mixtures of the humic substances and glucose. After incubation, dissolved organic carbon (DOC) concentrations were diminished, and specific UV absorbance values and DOC-normalized fluorescence intensities increased. The microbial changes were minimal for the samples contaning humic substances only whereas they were much pronounced for the mixtures with glucose. The extent of the changes increased with a higher content of glucose in the mixtures. The same trend was observed even for glucose solution. Our results suggest that labile organic moieties may be transformed into more chromophoric and humidified components by biodegradation. For the mixture samples, the copper binding stability constants did not change or even decreased after incubation. Therefore, microbially induced enrichment of the fulvic- and humic-like carbon structures in DOM appears to result in little change or the decrease of the copper binding coefficients.

A Study on Greenhouse Gas Inventories for Regional Governments (A Case Study of Jeonbuk Province) (지자체 온실가스 인벤토리 구축연구 - 전라북도 사례)

  • Jang, Nam-Jung
    • Journal of Korean Society of Environmental Engineers
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    • v.31 no.7
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    • pp.565-572
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    • 2009
  • Greenhouse gas(GHG) inventories and basic strategies for Jeonbuk regional government were established to reduce greenhouse gas emissions. The method to construct GHG inventories of Jeonbuk followed the 'Revised IPCC 1996 Guidelines'which was used for the 'Third National Communication of the Republic of Korea under UNFCCC'. Korean government could use primary energy consumption for the energy industries section in the national GHG inventories. However, regional governments should use secondary energy consumption (included electricity consumption) for the energy industries section for their GHG inventories because they could not control the emission of energy transformation section. In the result of Jeonbuk GHG inventories in 2006, carbon dioxide($CO_2$) emissions from fuel combustion covered 87.1% of total emissions. Methane($CH_4$), carbon dioxide($CO_2$) from other sections, nitrous oxide($N_2O$) and F-gas(HFCs, PFCs, $SF_6$) accounted for 8.1, 2.2, 1.6 and 1.0% of total emissions, respectively. The sectional emission decreased in the order of the energy(88.0%), agriculture(7.6%), waste(2.3%) and industrial processes(2.1%) section. The energy industries section that contained electricity consumption was the most dominant emission source in the energy section. F-gas consumption, rice cultivation and waste incineration were main emission sources in the industrial processes, agriculture and waste section, respectively. In this study, basic directions of each section were established by the results of Jeonbuk GHG inventories in 2006.

Reactive Ceramic Membrane Incorporated with Iron Oxide Nanoparticle for Fouling Control (산화철 나노입자 부착 반응성 세라믹 멤브레인의 막 오염 제어)

  • Park, Hosik;Choi, Heechul
    • Journal of Korean Society of Environmental Engineers
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    • v.35 no.2
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    • pp.144-150
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    • 2013
  • Hybrid ceramic membrane (HCM) processes that combined ozonation with a ceramic membrane (CM) or a reactive ceramic membrane (RM), an iron oxide nanoparticles (IONs) incorporated-CM were investigated for membrane fouling control. Alumina disc type microfiltration and ultrafiltration membranes doped with IONs by sintering method were tested under varying mass fraction of IONs. Scanning electron microscope (SEM) images showed that IONs were well-doped on the CM surface and doped IONs were approximately 50 nm in size. Change in the pure water permeability of RM was negligible compared to that of CM. These results indicate that IONs incorporation onto CM had little effect on CM performance in terms of the flux. Natural organic matter (NOM) fouling and fouling recovery patterns during HCM processes confirmed that the RM-ozonation process enhanced the destruction of NOM and reduced the extent of fouling more than the CM-ozonation process by hydroxyl radical formation in the presence of IONs on RM. In addition, analyses of NOM in the feed water and the permeate showed that the efficiency of membrane fouling control results from the NOM degradation during HCM processes; leading to removal and transformation of relatively high contents of aromatic, high molecular weight and hydrophobic NOM fractions.

Translational Enhancement by the 5' Leader of Tobacco Mosaic Virus and Soybean Glycinin Gene in Transgenic Tobacco Plants (담배 모자이크 바이러스와 대두 Glycinin 유전자의 5' Leader Sequence를 이용한 외래 유전자의 전이효율 증진)

  • Kang, Hong-Gu;Park, Jee-Won;Kim, Chung-Ho;Lim, Jae-Yun;Choi, Yang-Do
    • Applied Biological Chemistry
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    • v.38 no.3
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    • pp.224-231
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    • 1995
  • To increase the expression of a foreign protein in transgenic plant, the benefits of 5'-untranslated leader sequences of tobacco mosaic virus (TMV) RNA or soybean glycinin gene, Gy2, fused to a protein coding sequence were exploited. pGA643-derived plasmid contains 355 promoter of cauliflower mosaic virus, protein coding sequence of maize 10 kDa zein (10kZ) and Gy2 terminator. The leader from Gy2 or TMV RNA was inserted between the promoter and the coding sequence in each construct. The recombinant DNAs were introduced into tobacco plants by Agrobacterium mediated leaf disc transformation method. Although the transgene without the leader had more transcripts than the others, mRNAs containing the leader were translated more efficiently. It might be due to difference in the length of 5'-untranslated sequence and context surrounding the AUG codon, but could be sequence specific rather. These results suggest that the leader sequences of Gy2 and TMV play important roles as an enhancer in translational control of foreign gene in transgenic tobacco plant.

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An Improved RANSAC Algorithm Based on Correspondence Point Information for Calculating Correct Conversion of Image Stitching (이미지 Stitching의 정확한 변환관계 계산을 위한 대응점 관계정보 기반의 개선된 RANSAC 알고리즘)

  • Lee, Hyunchul;Kim, Kangseok
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.1
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    • pp.9-18
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    • 2018
  • Recently, the use of image stitching technology has been increasing as the number of contents based on virtual reality increases. Image Stitching is a method for matching multiple images to produce a high resolution image and a wide field of view image. The image stitching is used in various fields beyond the limitation of images generated from one camera. Image Stitching detects feature points and corresponding points to match multiple images, and calculates the homography among images using the RANSAC algorithm. Generally, corresponding points are needed for calculating conversion relation. However, the corresponding points include various types of noise that can be caused by false assumptions or errors about the conversion relationship. This noise is an obstacle to accurately predict the conversion relation. Therefore, RANSAC algorithm is used to construct an accurate conversion relationship from the outliers that interfere with the prediction of the model parameters because matching methods can usually occur incorrect correspondence points. In this paper, we propose an algorithm that extracts more accurate inliers and computes accurate transformation relations by using correspondence point relation information used in RANSAC algorithm. The correspondence point relation information uses distance ratio between corresponding points used in image matching. This paper aims to reduce the processing time while maintaining the same performance as RANSAC.

Effects and Limitations of Separating Overlapped Fingerprints Using Fast Fourier Transform (고속 푸리에 변환(fast Fourier transform, FFT)을 이용한 겹친지문 분리의 효과와 한계)

  • Kim, Chaewon;Kim, Chaelin;Lee, Hanna;Yu, Jeseol;Jang, Yunsik
    • Korean Security Journal
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    • no.61
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    • pp.377-400
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    • 2019
  • Photography is the most commonly used method of documenting the crime and incident scene as it helps maintaining chain of custody (COC) and prove integrity of the physical evidence. It can also capture phenomena as they are. However, digital images can be manipulated and lose their authenticity as admissible evidence. Thus only limited techniques can be used to enhance images, and one of them is Fourier transform. Fourier transform refers to transformation of images into frequency signals. Fast Fourier transform (FFT) is used in this study. In this experiment, we overlapped fingerprints with graph paper or other fingerprints and separated the fingerprints. Then we evaluated and compared quality of the separated fingerprints to the original fingerprints, and examined whether the two fingerprints can be identified as same fingerprints. In the case of the fingerprints on graph paper and general pattern-overlapping fingerprints, fingerprint ridges are enhanced. On the other hand, in case of separating complicated fingerprints such as core-to-core overlapping and delta-to-delta overlapping fingerprints, quality of fingerprints can be deteriorated. Quality of fingerprints is known to possibly bring negative effects on the credibility of examiners. The result of this study may be applicable to other areas using digital imaging enhancement technology.

Sequential Extraction of Cd, Zn, Cu, and Pb from the Polluted Paddy Soils and Their Behavior (중금속 오염지 논토양의 Cd, Zn, Cu, Pb의 연속 침출 방법 비교와 연차적 오염도 변화)

  • Yoo, Sun-Ho;Lee, Jong-Ryul;Kim, Key-Hoon
    • Korean Journal of Soil Science and Fertilizer
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    • v.28 no.3
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    • pp.207-217
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    • 1995
  • Extracting efficiencies of seven extracting solutions currently employed in extracting heavy metals from soils were compared and the functional relationships among them were calculated by regression analysis for Cd, Zn, Cu, and Pb. Extracting solutions employed were 0.1M HCl, 0.1M $HNO_3$, 0.05M EDTA, 0.001M DTPA(pH 7.3), 1M $NH_4OAc$ (pH 7.0), 0.1M $NH_4Ox$, and 4M $HNO_3$ respectively. Soil samples were collected from rice paddy fields near old zinc mining sites and from rice paddy fields near agro-industry complexes. Soils sampled from old zinc mining sites were also extracted using a sequential extraction method. Extraction by 4M $HNO_3$ and sequential extraction were performed on the samples collected both in 1979 and in 1991 to investigate the change in content and in chemical form of heavy metals. Functional relationships among the extracting solutions were highly correlated for Cd and Zn, whereas those for Cu and Pb were not. The predominant chemical form of Cd. Zn, Cu, and Pb in soils from old zinc mining sites was found to be of sulfide/residue form. The exchangeable form of Cd, the organically bound form of Cu, and the carbonate form of Pb were relatively high, while the sulfide/residue form of Zn was very high(> 79%). Although transformation among the extracted forms was not clear during those 12 years, a decrease in total content of Cd, Zn, Cu, and Pb was clearly observed.

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Establishment of Early Verification Method for Introduction of the Binary Trans-activation System in Chinese Cabbage (Brassica rapa L. ssp. Pekinensis) (배추 작물에 이원적 전사유도 시스템 도입을 위한 조기 검증방법 확립)

  • Kim, Soo-Yun;Yu, Hee-Ju;Kim, Jeong-Ho;Cho, Myeong-Cheoul;Park, Mehea
    • Horticultural Science & Technology
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    • v.31 no.1
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    • pp.95-102
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    • 2013
  • Binary trans-activation (pOp/LhG4) system is one of the regulatory systems of transgene expression. The target gene expression is achieved by crossing the reporter plants with an activator in this system. In this study, we used the features of this system in Chinese cabbage as a way to protect genetic resources and new varieties. To establish pOp/LhG4 system in Chinese cabbage, we designed an activator (35SLhG41300), and reporter constructs (pOpGUSBart) and co-transformed using Agrobacterium. The transgenic plants were selected by antibiotics and the functional activity of pOp/LhG4 system was confirmed by GUS expression. To induce the tissue-specific function, we constructed pOp/LhG4 system (795LhGBart) using female tissue specific promoter (ProAt1g26795) of Arabidopsis. Co-transformed transgenic plants clearly showed tissue specific expression in Arabidopsis. The results suggest the possibility of the system's application of $F_1$ generation can be restricted by expressing the target gene to protect a new variety and genetic resource in Chinese cabbages.