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Seasonal distribution of chigger mites in the Kanghwa Island and Yongiong Island (강화도와 영종도의 털진드기 계절 분포)

  • Lee, In-Yong;Yun, Sang-Seon;Lee, Han-Il
    • Parasites, Hosts and Diseases
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    • v.31 no.4
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    • pp.341-346
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    • 1993
  • Seasonal distribution of chigger mites in the Kangwha Island and Yongjong Island was studied during the period of October 1992-August 1993. From 42 field rodents collected, 1,290 chiggers were obtained and 8 species of 4 genera were identified. In the Kanghwa Island, Leptopombidium pallidum was the predominant species through all seasons with the percentage of 93.0%. Whereas, In the Yongjong Island, L. palpale was the predominant species with the percentage of 38.4% and L. pnllidum was not found.

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Thermal Analysis of Insulation System for KC-1 Membrane LNG Tank (KC-1 Membrane LNG 탱크 단열시스템의 열해석에 관한 연구)

  • Hyeon-won, Jeong;Tae-hyun, Kim;Seog-soon, Kim;W.Jaewoo, Shim
    • Journal of Ocean Engineering and Technology
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    • v.31 no.2
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    • pp.91-102
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    • 2017
  • Recently, a new type of LNG membrane Tank called the "KC-1 membrane LNG Tank" was developed by KOGAS (Korean Gas Corporation). It is necessary to estimate the temperature distribution of the hull structure and insulation system for this new LNG tank, as well as the BOR (Boil-Off Rate) when exposed to outside temperature conditions to ensure the integrity of the tank structure and limit LNG evaporation, from a safety evaluation point of view. In this study, temperature distribution calculations for the hull structure and insulation system of the KC1 membrane tank were compared by employing four numerical approaches under the IGC condition. Approaches 1-3 studied 2D simulations and approach 4 used a 3D numerical simulation. Approach 1 was calculated by in-house Excel VBA codes and the three other approaches utilized ANSYS Fluent. The BOR of approach 4, the 3D simulation case, for the IGC condition was 0.0986%/day.

Fatigue reliability analysis of steel bridge welding member by fracture mechanics method

  • Park, Yeon-Soo;Han, Suk-Yeol;Suh, Byoung-Chul
    • Structural Engineering and Mechanics
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    • v.19 no.3
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    • pp.347-359
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    • 2005
  • This paper attempts to develop the analytical model of estimating the fatigue damage using a linear elastic fracture mechanics method. The stress history on a welding member, when a truck passed over a bridge, was defined as a block loading and the crack closure theory was used. These theories explain the influence of a load on a structure. This study undertook an analysis of the stress range frequency considering both dead load stress and crack opening stress. A probability method applied to stress range frequency distribution and the probability distribution parameters of it was obtained by Maximum likelihood Method and Determinant. Monte Carlo Simulation which generates a probability variants (stress range) output failure block loadings. The probability distribution of failure block loadings was acquired by Maximum likelihood Method and Determinant. This can calculate the fatigue reliability preventing the fatigue failure of a welding member. The failure block loading divided by the average daily truck traffic is a predictive remaining life by a day. Fatigue reliability analysis was carried out for the welding member of the bottom flange of a cross beam and the vertical stiffener of a steel box bridge by the proposed model. Results showed that the primary factor effecting failure time was crack opening stress. It was important to decide the crack opening stress for using the proposed model. Also according to the 50% reliability and 90%, 99.9% failure times were indicated.

Development of benthic macroinvertebrate species distribution models using the Bayesian optimization (베이지안 최적화를 통한 저서성 대형무척추동물 종분포모델 개발)

  • Go, ByeongGeon;Shin, Jihoon;Cha, Yoonkyung
    • Journal of Korean Society of Water and Wastewater
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    • v.35 no.4
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    • pp.259-275
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    • 2021
  • This study explored the usefulness and implications of the Bayesian hyperparameter optimization in developing species distribution models (SDMs). A variety of machine learning (ML) algorithms, namely, support vector machine (SVM), random forest (RF), boosted regression tree (BRT), XGBoost (XGB), and Multilayer perceptron (MLP) were used for predicting the occurrence of four benthic macroinvertebrate species. The Bayesian optimization method successfully tuned model hyperparameters, with all ML models resulting an area under the curve (AUC) > 0.7. Also, hyperparameter search ranges that generally clustered around the optimal values suggest the efficiency of the Bayesian optimization in finding optimal sets of hyperparameters. Tree based ensemble algorithms (BRT, RF, and XGB) tended to show higher performances than SVM and MLP. Important hyperparameters and optimal values differed by species and ML model, indicating the necessity of hyperparameter tuning for improving individual model performances. The optimization results demonstrate that for all macroinvertebrate species SVM and RF required fewer numbers of trials until obtaining optimal hyperparameter sets, leading to reduced computational cost compared to other ML algorithms. The results of this study suggest that the Bayesian optimization is an efficient method for hyperparameter optimization of machine learning algorithms.

Distribution of Optimum Yield-Strength and Plastic Strain Energy Prediction of Hysteretic Dampers in Coupled Shear Wall Buildings

  • Bagheri, Bahador;Oh, Sang-Hoon;Shin, Seung-Hoon
    • International journal of steel structures
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    • v.18 no.4
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    • pp.1107-1124
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    • 2018
  • The structural behavior of reinforced concrete coupled shear wall structures is greatly influenced by the behavior of their coupling beams. This paper presents a process of the seismic analysis of reinforced concrete coupled shear wall-frame system linked by hysteretic dampers at each floor. The hysteretic dampers are located at the middle portion of the linked beams which most of the inelastic damage would be concentrated. This study concerned particularly with wall-frame structures that do not twist. The proposed method, which is based on the energy equilibrium method, offers an important design method by the result of increasing energy dissipation capacity and reducing damage to the wall's base. The optimum distribution of yield shear force coefficients is to evenly distribute the damage at dampers over the structural height based on the cumulative plastic deformation ratio of the dissipation device. Nonlinear dynamic analysis indicates that, with a proper set of damping parameters, the wall's dynamic responses can be well controlled. Finally, based on the total plastic strain energy and its trend through the height of the buildings, a prediction equation is suggested.

Formation Characteristics of Precipitated Calcium Carbonate by Carbonation Process

  • Kim, Chiho;Seok, Mingwang;Kim, Yangdo
    • Korean Journal of Materials Research
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    • v.31 no.1
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    • pp.1-7
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    • 2021
  • The characteristics and morphology of precipitated calcium carbonate (PCC) particles produced by carbonation process with various experimental conditions are investigated in this study. The crystal structures of PCC formed by carbonation process are calcite and aragonite. The crystal structure of PCC particles synthesized without adipic acid additive is calcite only, regardless of the reaction temperature. Needle-like shape aragonite phase started to form at reactor temperature of 80℃ with the adipic acid additive. Particle size of the single phase calcite PCC synthesized without adipic acid additive is about 1 ~ 3 ㎛, with homogenous distribution. The aragonite PCC also shows uniform size distribution. The reaction temperature and concentration of adipic acid additive do not show any significant effects on the particle size distribution. Aragonite phase grown to a large aspect ratio of needle-like shape showed relatively improved whiteness. The measured whiteness value of single calcite phase is about 95.95, while that of the mixture of calcite and aragonite is about 99.11.

The Effects of Experience and Brand Relationship to Brand Satisfaction, Trust and Loyalty Shopping Distribution of Consumer Philips Lighting Product in Indonesia

  • BUDI, Sylvia Christianti;HIDAYAT, Z.;MANI, La
    • Journal of Distribution Science
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    • v.19 no.1
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    • pp.115-124
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    • 2021
  • Purpose: This study examines the effects of several brand variables on customer satisfaction and brand loyalty. Research design, data, and methodology: The survey was conducted on a community with 302 city residents in Greater Jakarta as consumers of lighting products. The constructs were arranged based on several independent variables such as brand experience, brand relationships, and brand trust on customer satisfaction and brand loyalty. Customer satisfaction was positioned as an intervening variable to examine the effects on brand loyalty. Results: The consumer's experience determines the attitude and satisfaction at the next action. Brand experience significantly influences customer satisfaction and brand loyalty. Meanwhile, a brand association related to the benefits of the product concerned so that the relationship also affects customer satisfaction and brand loyalty. However, the brand relationship does not affect brand trust. Consumers do not readily believe without experience. Conclusion: The consumer's experience significantly influences satisfaction and brand loyalty, both direct and indirect. Brand relationships affected customer satisfaction and had a direct effect on brand loyalty. Likewise, brand trust has a direct effect on brand loyalty. The findings' implications emphasize the importance of brand owners to provide positive, memorable experiences to the consumers.

Liquidity and Skewness Risk in Stock Market: Does Measurement of Liquidity Matter?

  • CHEUATHONGHUA, Massaporn;WATTANATORN, Woraphon;NATHAPHAN, Sarayut
    • Journal of Distribution Science
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    • v.20 no.12
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    • pp.81-87
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    • 2022
  • Purpose: This study aims to explore the relationship between stock liquidity and skewness risk-tail risk (stock price crash risk) in an emerging market, in which problems on liquidity are more severe than in developed markets. Research design, data, and methodology: Based on the Thai market stock exchange over the period of 2000 to 2019, our sample include 13,462 firm-period observations. We employ a panel regression models regarding to five liquidity measures. These five liquidity measures cover three dimensions of liquidity namely the volume-based, price-based, and transaction cost-based measures for the liquidity-tail risk relationship. Results: We find a positively significant relationship between stock liquidity and tail risk in all cases. The finding here shows that the higher the stock liquidity, the larger the tail risk is. Conclusion: As the prior studies show inconclusive effect of stock liquidity on stock price crash risk, we demonstrate that mixed results found in prior studies are probably driven from the type of liquidity measure. The stock liquidity-tail risk association is present in the Stock Exchange of Thailand. The results remain the same regardless of the definition of tail risk and liquidity factors. An endogeneity issue is addressed by employing the two-stage least squares regression.

Effects of Trade and FDI on Income Inequality in Vietnam (베트남에서 무역과 FDI가 소득불평등에 미친 영향)

  • Tuoi, Do Thi Hong;Oh, Keun Yeob;Wang, Jingbu
    • Korea Trade Review
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    • v.44 no.6
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    • pp.217-230
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    • 2019
  • This study investigates the impacts of international trade and foreign direct investment (FDI) on income distribution both nationally as well as provincially in Vietnam. This study uses panel data of 63 provinces in Vietnam for the period of 2008-2016 and a time series dataset from 1992 to 2016. We found the following results. First, the income distribution is significantly affected by per capita income. When we consider the Kuznets hypothesis, the intra-provincial income inequality of Vietnam's 63 provinces follows a regular U-shaped relationship. In contrast, the income distribution in Vietnam exhibits an inverted U-shaped relationship between the Gini coefficient and per capita income. Second, the inward FDI tends to reduce income gaps in each province through the employment of predominantly low-skilled workers. FDI, however, seems to increase income inequality throughout Vietnam. This result is potentially due to the strong concentration of FDI into a very few areas. Third, the effect of trade openness exhibits a decrease in inequality both within each province and in the whole country of Vietnam.

Distribution of Vibrio alginolyticus inhabiting the Jeju coast (제주 연안에 서식하는 Vibrio alginolyticus 분포)

  • Choi, Won-Sun;Moon, Chan-Yun;Heo, Moon-Soo
    • Journal of Marine Bioscience and Biotechnology
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    • v.13 no.1
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    • pp.48-57
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    • 2021
  • Vibrio species are Gram-negative basophils that are ubiquitous in seawater, increasing in number as the water temperature increases. Humans are usually infected by the consumption of contaminated seawater or seafood. V. alginolyticus infection in humans is mainly associated with infections of the skin and ears, such as acute otitis media and cellulitis. In this study, the distribution of V. alginolyticus along the coast of Jeju Island, and its relationship with water temperature, salinity, DO, and pH was investigated. The antibiotic susceptibility of the bacteria isolated was also tested. In seawater, the Daejeong area had the highest detection rate, with 13 cases (21.7%), and the Hallim area showed the lowest detection rate, with eight cases (13.3%) in. In shellfish, the Daejeong area had the highest rate, with seven cases (23.3%), and the Seongsan and Hallim areas had the lowest detection rate, with four cases (13.3%). The overall detection rate was the highest in Daejeong area, with 20 cases (22.2%), and the lowest in the Hallim area, with 12 cases (13.3%). The detection rate was highest when the water temperature was highest.