• Title/Summary/Keyword: Distribution weight

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Effects of Hydrolysis Temperature on the Distribution of the Molecular Weights of Alginates Prepared from Sea Tangle, Laminaria japonica (다시마 Laminaria iaponicus 알긴산의 분자량 분포에 미치는 가수분해 온도의 영향)

  • Lim, Yeong-Seon;You, Byeong-Jin
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.40 no.4
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    • pp.187-192
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    • 2007
  • To prepare oligouronic acids from high-molecular-weight alginates prepared from sea tangle (Laminaria japonica), the alginates were hydrolyzed at various temperatures for 1 hr at pH 5.0. The effects of hydrolysis temperature $(H_{Temp})$ on the average molecular weight (AMW) and distribution ratio of MW (DR) in the hydrolyzed alginates were investigated. As $(H_{Temp})$ increased, the AMW of the alginates decreased exponentially; in addition the DR of the alginates with MW>500 kDa decreased exponentially, while the DR of those with MW=50-100 and MW<50 kDa increased exponentially. For the alginates with MW=300-500 and MW=100-300 kDa the DR increased exponentially until $H_{Temp}$ reached $80^{\circ}C$, and then decreased exponentially at above $80^{\circ}C$. AS $H_{Temp}$ increased, the MW cutoff size and AMW Of the alginates fraction With the highest DR both decreased. For $H_{Temp}<60^{\circ}C$, the MW cutoff size with the highest DR was MW>500 kDa; the DR was 39-67% and the AMW 1,000-1,300 kDa. For $H_{Temp}$ $80^{\circ}C$, the MW cutoff size with the highest DR was MW=300-500 kDa and the DR was about 33% and the AMW about 400 kDa. For $H_{Temp}\;100-121^{\circ}C$, the MW cutoff size with the highest DRs was MW=50-100 kDa, with a DR of 39-44% and an AMW of 70-80 kDa.

Population Dynamics of Arisaema robustum (넓은잎천남성 (Arisaema robustum) 개체군의 동태)

  • 민병미;유진숙
    • The Korean Journal of Ecology
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    • v.21 no.1
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    • pp.27-33
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    • 1998
  • Arisaema robustum, which has the ability to change sex, was studied in a temperate broadleaf forest of Sanseong-ri, Joongbu-myeon, Gwangju-gun, Kyonggi Province, Korea. \ulcornerThe study, carried out from 1993 to 1997, focused on population dynamics energy budget among organs, size distribution, mortality, the relationships between sex and size, seed production and germination rate. In terms of energy budget among the organs, the ratio of aboveground to belowground biomass was 36.6 : 63.4 in non-female plants, and 81.4 : 18.6 in female plants. Also, in female plants, the ration of leaf to sexual organ biomass was 39.5 : 41.9. Therefore, the belowground ratio of female plants was lower than that of non-female plants. Plants were classified into 8 levels relative to the amount of leaf area by $100cm^2$. The rates of the smallest and the largest classes were 49% and 1%, respectively, and population distribution by size was relatively stable. The mortality averaged 13.1% per year and decreased in inverse proportion to leaf size (6.6% in the smallest and 0.0% in the largest size classes). Leaf areas were $64.1{\pm}48.5cm^2$ in non-flowering plants, $232.1{\pm}123.9cm^2$ in males and $444.8{\pm}153.9cm^2$ in females. The increase rates of leaf area per year varied from 1.9% in plants changing from female tomale, to 152.4% in plants changing from non-flowering to female. But plants which remained female for 2 years showed a decrease of 34.7%. >From this result, it is thought that the female plants invest more energy to reproduction than to vegetative organs. The correlation coefficient (CC) value between plant size and the number of seeds produced (0.55) was larger than the CC value between plant size and total seed weight (0.73). That is, the larger the plant size, the heavier the seed produced. The germination rate increased along with seed weight, and it was 95% in plants which were over 60mg fresh weight/seed.

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Statistical analysis and probabilistic modeling of WIM monitoring data of an instrumented arch bridge

  • Ye, X.W.;Su, Y.H.;Xi, P.S.;Chen, B.;Han, J.P.
    • Smart Structures and Systems
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    • v.17 no.6
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    • pp.1087-1105
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    • 2016
  • Traffic load and volume is one of the most important physical quantities for bridge safety evaluation and maintenance strategies formulation. This paper aims to conduct the statistical analysis of traffic volume information and the multimodal modeling of gross vehicle weight (GVW) based on the monitoring data obtained from the weigh-in-motion (WIM) system instrumented on the arch Jiubao Bridge located in Hangzhou, China. A genetic algorithm (GA)-based mixture parameter estimation approach is developed for derivation of the unknown mixture parameters in mixed distribution models. The statistical analysis of one-year WIM data is firstly performed according to the vehicle type, single axle weight, and GVW. The probability density function (PDF) and cumulative distribution function (CDF) of the GVW data of selected vehicle types are then formulated by use of three kinds of finite mixed distributions (normal, lognormal and Weibull). The mixture parameters are determined by use of the proposed GA-based method. The results indicate that the stochastic properties of the GVW data acquired from the field-instrumented WIM sensors are effectively characterized by the method of finite mixture distributions in conjunction with the proposed GA-based mixture parameter identification algorithm. Moreover, it is revealed that the Weibull mixture distribution is relatively superior in modeling of the WIM data on the basis of the calculated Akaike's information criterion (AIC) values.

Distribution of the Garment Pressure by Postures (자세 변화에 따른 의복압 분포 현황)

  • Kim, Yang-Weon;Baek, Yoon-Jeong
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.5
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    • pp.775-781
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    • 2009
  • This study was to investigate the distribution of the garment pressure in daily wearing and in ordinary posture. Ninety-nine college women students majoring the fashion were participated for this study. IBP questionnaire, garment pressure, personal preferring pressure sensations(questionnaire), and subjective garment pressure sensations were measured. There were no significant differences between the data of 2003 and those of 2005. Participants preferred T-shirts and jeans and also preferred slightly fitted style to the loose style. They were classified with the high garment pressure group and the low garment pressure group. Garment pressure from lower garments were usually higher in the high garment pressure group than in the low garment pressure group. There was no significant differences in the upper garments weights between two groups. The lower garments weight of the high garment pressure group showed $533.3{\pm}182.11g/m^2$ and that of the low garment pressure group was $453.4{\pm}181.6g/m^2$. There was a significant difference in the lower garments weight between two groups(p<.01). In a standing posture, there were no significant differences among the distribution of garment pressure. There was a significant garment pressure differences between sitting on a chair and sitting on the floor(p<.001). Participants included in the low garment pressure group felt a higher garment pressure than participants included in the high garment pressure group.

Adaptive Kernel Estimation for Learning Algorithms based on Euclidean Distance between Error Distributions (오차분포 유클리드 거리 기반 학습법의 커널 사이즈 적응)

  • Kim, Namyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.5
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    • pp.561-566
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    • 2021
  • The optimum kernel size for error-distribution estimation with given error samples cannot be used in the weight adjustment of minimum Euclidean distance between error distributions (MED) algorithms. In this paper, a new adaptive kernel estimation method for convergence enhancement of MED algorithms is proposed. The proposed method uses the average rate of change in error power with respect to a small interval of the kernel width for weight adjustment of the MED learning algorithm. The proposed kernel adjustment method is applied to experiments in communication channel compensation, and performance improvement is demonstrated. Unlike the conventional method yielding a very small kernel calculated through optimum estimation of error distribution, the proposed method converges to an appropriate kernel size for weight adjustment of the MED algorithm. The experimental results confirm that the proposed kernel estimation method for MED can be considered a method that can solve the sensitivity problem from choosing an appropriate kernel size for the MED algorithm.

Concentrations and Composition Profiles of Perfluoroalkyl Substances (PFASs) in Coastal Environments from Gunsan, Korea: Assessment of Exposure to PFASs through Seafood Consumption (군산연안 다매체 환경에서 과불화화합물(PFASs)의 농도분포 및 수산물 섭취를 통한 인체위해도 평가)

  • Lee, Bongmin;Yoon, Se-Ra;Choi, Minkyu;Lee, Sunggyu;Lee, Won-Chan
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.55 no.5
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    • pp.514-523
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    • 2022
  • Concentrations of perfluoroalkyl substances (PFASs) were measured in seawater, sediment, and biota collected from Gunsan coast, Korea to investigate their occurrence, distribution, and risk of exposure to humans through seafood consumption. The total concentrations of PFASs in seawater, sediment, and biota ranged from 5.97 to 74.9 ng/L, 0.01 to 13.3 ng/g dry weight, and 0.02 to 5.73 ng/g wet weight, respectively. Predominant PFAS compounds differed across matrices, indicating that the distribution of PFASs in multiple environmental samples is governed by their carbon-chain length. The concentrations of PFASs in seawater were significantly negatively correlated with salinity (P<0.01), suggesting terrestrial input (including land-used PFASs) as the major source of PFAS contamination in coastal environments. The estimated daily intakes (EDIs) of perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) through seafood consumption were 0.05 and 0.06 ng/kg body weight/day, respectively. The EDIs of PFOA and PFOS measured in this study were lower those the proposed by the United States Environmental Protection Agency and Canada guidelines, indicating limited health risk for Korean population from PFASs through consumption of seafood from Gunsan coastal environment.

The Analysis and Isolation of Component from Liquefied Wastepaper (폐지 용액화물로부터 성분분리 및 분석)

  • Chang, Jun-Pok;Yang, Jae-Kyung;Lim, Bu-Kug;Lee, Jong-Yoon
    • Journal of the Korean Wood Science and Technology
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    • v.32 no.1
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    • pp.9-16
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    • 2004
  • This research was carried out to investigate the component isolation method from liquefied waste paper. and isolated component was analyzed by molecular weight distribution with gel chromatography and nitrobenzene-oxidation analysis. In the aspect of liquefaction ratio, wet defibration fiber are better than dry defibration fiber because of wet defiberation fiber was easy to access of chemical solution. The optimal liquefaction condition of waste paper was treated at 190℃ for 60 min(cresol 2 ㎖, water 4 ㎖, phosphoric acid 0.5 ㎖ based on waste paper 1 g). In the liquefied waste paper, lignin and carbohydrate were separated with two interfacial layer(cresol layer, water layer). In the chemical analysis of isolated lignin, molecular weight distribution of isolated lignin was below 1,000.

Growth Response, Ecological Niche and Overlap between Quercus variabilis and Quercus dentata under Soil Moisture Gradient (토양수분구배에서 굴참나무와 떡갈나무의 생육반응, 생태 지위 및 중복역)

  • Park, Yeo-Bin;Kim, Eui-Joo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.26 no.5
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    • pp.47-56
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    • 2023
  • The Quercus variabilis and Quercus dentata, which are said to be relatively drought tolerant among the important genus Quercus that represent deciduous broad-leaved forests in Korea. These two species are widely distributed worldwide in Korea, Japan and China (northern, central, western and eastern subtropical regions). This study compared the ecological niche breadth and overlap according to growth response in 4 soil moisture gradients for the two species and tried to reveal degree of competition and ecological niche characteristics. The ecological niche breadth was 0.977±0.020 for Q. variabilis and 0.979±0.014 for Q. dentata, the latter being slightly wider. And they were similar in 5 traits (stem length, leaf lamina length, leaf width length, stem weight, leaf petiole weight), Q. variabilis was more dominant in 4 traits (leaves number, stem diameter, leaf area, leaf petiole length), and Q. dentata was more dominant in 7 traits (root length, shoot length, plant weight, root weight, shoot weight, leaf weight, leaf petiole weight). The ecological niche overlap for soil moisture between the two species overlapped most in plant structure-related traits and least in photosynthetic organ-related traits such as petiole length. As a result of principal component analysis, degree of competition between the two species for soil moisture was more severe when the soil moisture condition was low than high. Among the measured traits that affect the two-dimensional distribution, 8 traits (Leaves number, Shoot length, Stem length, Plant weight, Root weight, Shoot weight, Stem weight, Leaves weight) were correlated with the factor 1, and 2 traits (Leaf width length, Leaf petiole weight) were correlated with the factor 2 (r>0.5). These results show that the ecological response of the two species to soil moisture is not a few traits involved, but several traits are involved simultaneously.

Synthesis and characterization of Star Shape Polycaprolactone containing 4-Arm Polycaprolactone Core (4개의 폴리카프로락톤 가지 코어를 가지는 스타형 폴리카프로락톤의 합성 및 분석)

  • An, Sung-Guk;Cho, Chang-Gi
    • Proceedings of the Korean Fiber Society Conference
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    • 2002.04a
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    • pp.199-202
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    • 2002
  • The synthesis of materials with controlled composition and architectures continues to be a focus of considerable current research. Dendritic multiarm polymers such as dendrimer, hyperbranched polymer, and star polymers are three dimensional macromolecules, in which a large number of linear arms of similar molecular weight and narrow molecular weight distribution emanate from a central core. (omitted)

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The Performance Estimation of Turbo internal Interleaver Using Weight Distribution of Codewords (부호어의 무게 분포를 통한 터보 인터리버의 성능 분석)

  • 고태환;김주민;이원철;정덕진
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.105-108
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    • 2001
  • In this paper, we suggest more precise performance analysis method of turbo interleavers based on two criteria; performance bounds like Union Bound and weight frequency of codewords. In order to present our new method, we employ block, pseudo random, and so-called prime interleavers in compliance of 3GPP standard, respectively. 3GPP complied turbo encoder, decoder, and AWGN channel are implemented by using MATLAB for our performance analysis. According to our analysis, both criteria should be taken into account coincidently to predict the performance of newly designed interleavers.

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