• Title/Summary/Keyword: SPC/E model

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Decommissioning Cost Estimation of Kori Unit 1 Using a Multi-Regression Analysis Model (회귀 분석 모델을 이용한 고리 1호기 해체 비용 추정)

  • Joo, Han Young;Kim, Jae Wook;Jeong, So Yun;Moon, Joo Hyun
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.18 no.2_spc
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    • pp.247-260
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    • 2020
  • A multi-regression model was developed to estimate the decommissioning cost for Kori unit 1 using foreign nuclear power plant (NPP) decommissioning cost data. First, the decommissioning cost data were collected for 13 boiling water reactors and 16 pressurized water reactors and converted into the values as of November 2019. Then, for the regression model, the decommissioning cost was chosen as the dependent variable, and two variables were selected as independent variables: a contamination factor that was designed to reflect the operational characteristics of the decommissioned NPP and the decommissioning period. A statistical package in the R language was used to derive the regression model. Finally, the regression model was applied to estimate the decommissioning cost for Kori unit 1. The estimated decommissioning cost for Kori unit 1 was 663.40~928.32 million US dollars (782,812~1,095,418 million Korean won).

A Genetic Algorithm Approach for Logistics Network Integrating Forward and Reverse Flows (역물류를 고려한 통합 물류망 구축을 위한 유전 알고리듬 해법)

  • Ko, Hyun-Jeung;Ko, Chang-Seong;Chung, Ki-Ho
    • IE interfaces
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    • v.17 no.spc
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    • pp.141-151
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    • 2004
  • As today's business environment has become more and more competitive, forward as well as backward flows of products among members belonging to a supply chain have been increased. The backward flows of products, which are common in most industries, result from increasing amount of products that are returned, recalled, or need to be repaired. Effective management for the backward flows of products has become an important issue for businesses because of opportunities for simultaneously enhancing profitability and customer satisfaction from returned products. Since third party logistics service providers (3PLs) are playing an important role in reverse logistics operations, they should perform two simultaneous logistics operations for a number of different clients who want to improve their logistics operations for both forward and reverse flows. In this case, distribution networks have been independently designed with respect to either forward or backward flows so far. This paper proposes a mixed integer programming model for the design of network integrating both forward and reverse logistics. Since the network design problem belongs to a class of NP-hard problems, we present an efficient heuristic algorithm based on genetic algorithm (GA), of which the performance is compared to the lower bound by Lagrangian relaxation. Finally, the validity of proposed algorithm is tested using numerical examples.

PHOTOMETRY STUDY OF NGC288 ON UVBY BANDPASS

  • CHEN ROSIE CHANG-HUI;Lu PHILLIP K.;TSAY WEAN-SHUN
    • Journal of The Korean Astronomical Society
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    • v.29 no.spc1
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    • pp.135-136
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    • 1996
  • We present a new photometric study of the globular cluster NGC288 in Stromgren u, v, b, y, and H$\beta$ system. This cluster is known to have an intermediate metallicity but its color-magnitude diagram has a pure blue horizontal branch, which is a signature of metal poor stellar population. We compare our dataset with Bergbusch's (1993) in both field size and CMD to see whether different photometry system would determine the same physical parameters of a cluster. Demarque and Yi's isochrones (1996, private communication) were applied to Bergbusch's dataset, and we obtained distance modulus of (m - M) = 14.9 $\pm$ 0.2, color excess of E(B - V) = 0.03, and age of 1.5$\pm$3 Gyr. Vandenberg's (1985) isochrones for Stromgren system were also applied to Bergbusch's and our data. We find that the isochrone fits to different photometric systems give rather in consist ant solutions. The source of this discrepancy may become clear when the Demarque and Yi's isochrones for Johnson system are converted to those of Stromgren system. We note that Kurucz model atmospheres provide a useful ground for this conversion work as well as theoretical study of Stromgren characteristics of globular cluster stars.

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The Relationship between the Prevalence of Suicidal Ideation among Older Adults and Individual·Regional Factors

  • Chin, Young Ran;Kim, Chunmi;Park, Ilsu;Han, Song Yi
    • Research in Community and Public Health Nursing
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    • v.31 no.spc
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    • pp.577-590
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    • 2020
  • Purpose: The purpose of this study was to find out the suicidal ideation rate of the elderly including individual and regional factors by sex. Methods: This is secondary analysis study that combines the data of the 2017 Community Health Survey with the e-indicator data set of the National Statistical Office, and a descriptive correlation study. Statistical analysis used hierarchical logistic regression by SAS 9.4. Results: The 11.5% of the elderly had suicidal ideation within the last year, and 18.4% in Chungnam is the highest. Individual characteristics include females, older people, lower education levels, no job or housewife, no spouse, less than seven hours of sleep per day on the average, low subjective health, high subjective stress, and the worse their economic conditions, the more they had suicide ideation. Considering regional characteristics, suicidal ideation tended to increase significantly as the number of hospital beds per 1,000 people and the rate of obesity was lower, the rate of stress perception was higher, and the odds value was small. When both individual and regional factors were considered, the model conformity of the suicidal ideation improved (ICC=0.0814). Conclusion: In order to lower the suicidal rate of the elderly, it seems that both individual and community factors need to be comprehensively approached from the stage of suicidal ideation in the community.

Comparison of ANN model's prediction performance according to the level of data uncertainty in water distribution network (상수도관망 내 데이터 불확실성에 따른 절점 압력 예측 ANN 모델 수행 성능 비교)

  • Jang, Hyewoon;Jung, Donghwi;Jun, Sanghoon
    • Journal of Korea Water Resources Association
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    • v.55 no.spc1
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    • pp.1295-1303
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    • 2022
  • As the role of water distribution networks (WDNs) becomes more important, identifying abnormal events (e.g., pipe burst) rapidly and accurately is required. Since existing approaches such as field equipment-based detection methods have several limitations, model-based methods (e.g., machine learning based detection model) that identify abnormal events using hydraulic simulation models have been developed. However, no previous work has examined the impact of data uncertainties on the results. Thus, this study compares the effects of measurement error-induced pressure data uncertainty in WDNs. An artificial neural network (ANN) is used to predict nodal pressures and measurement errors are generated by using cumulative density function inverse sampling method that follows Gaussian distribution. Total of nine conditions (3 input datasets × 3 output datasets) are considered in the ANN model to investigate the impact of measurement error size on the prediction results. The results have shown that higher data uncertainty decreased ANN model's prediction accuracy. Also, the measurement error of output data had more impact on the model performance than input data that for a same measurement error size on the input and output data, the prediction accuracy was 72.25% and 38.61%, respectively. Thus, to increase ANN models prediction performance, reducing the magnitude of measurement errors of the output pressure node is considered to be more important than input node.

A New Evaluation Model for Natural Attenuation Capacity of a Vadose Zone Against Petroleum Contaminants (유류 오염물질에 대한 불포화대 자연 저감능 등급화 기법 개발)

  • Woo, Heesoo;An, Seongnam;Kim, Kibeum;Park, Saerom;Oh, Sungjik;Kim, Sang Hyun;Chung, Jaeshik;Lee, Seunghak
    • Journal of Soil and Groundwater Environment
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    • v.27 no.spc
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    • pp.92-98
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    • 2022
  • Although various methods have been proposed to assess groundwater vulnerability, most of the models merely consider the mobility of contaminants (i.e., intrinsic vulnerability), and the attenuation capacity of vadose zone is often neglected. This study proposed an evaluation model for the attenuation capacity of vadose zone to supplement the limitations of the existing index method models for assessing groundwater vulnerability. The evaluation equation for quantifying the attenuation capacity was developed from the combined linear regression and weighted scaling methods based on the lab-scale experiments using various vadose zone soils having different physical and biogeochemical properties. The proposed semi-quantifying model is expected to effectively assess the attenuation capacity of vadose zone by identifying the main influencing factors as input parameters together with proper weights derived from the coefficients of the regression results. The subsequent scoring and grading system has great versatility while securing the objectivity by effectively incorporating the experimental results.

Long-Term Relationship Strategies Between Retailer and Suppliers for the Effective Supply Chain Management: Retailer Perspectives toward Food Manufacturers (제조업체와 유통업체간의 장기적 협력관계 구축을 통한 공급사슬관리 방안 : 식품제조업을 대상으로 한 소매업체 관점)

  • Kim Chul-Min;Rho Seung-Hyeok;Cho Kwang-Haeng
    • Journal of Korea Technology Innovation Society
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    • v.8 no.spc1
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    • pp.360-390
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    • 2005
  • The paradigm of the corporate innovations has been changed from the intra-company innovations to the inter-company innovations. A prevalent approach to the inter-company innovations is the supply chain management. Three key words of the core concept of supply chain management are the long-term relationship, resource integration, and value creation. Specifically, it means that the supply chain management aims to make value creation through the resource integration for the supply chain entities, based on the long-term relationship between buyers and sellers. To make more effective long-term relationship among the supply chain entities, it is very important for the supply chain entities to analyze followings: i) What variables can influence the long-term relationship, ii) How these variables can influence to the long-term relationship. However, previous researches mostly deals the long-term relationship in the marketing area in fragment, and thus few research efforts have been done for the development of conceptual model using supply chain management theories. In contrast to previous studies, our research tried to develop and examine the integrative research model by introducing both the marketing theories and the supply chain management theories, and thus related hypotheses are derived. A multiple regression analysis was performed to examine the influence of the antecedents of the long-term relationship, for the 87 retailers of grocery supply chains. The empirical results confirm that cultural similarity, reputation, interdependency, and trust positively influence long-term relationship (i.e., partnership orientation and partnership symmetry). And results also confirm that the supply implementation factors such as organization integration, information system integration, and process integration playa moderating role between antecedents and long-term relationship. These findings suggest that companies should perceive the importance of managing the process, organization, information system integration in the long-term relationship implementation process as well as the factors such as cultural similarity, reputation, interdependency, and trust in the long-term relationship establishment process.

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Novel two-stage hybrid paradigm combining data pre-processing approaches to predict biochemical oxygen demand concentration (생물화학적 산소요구량 농도예측을 위하여 데이터 전처리 접근법을 결합한 새로운 이단계 하이브리드 패러다임)

  • Kim, Sungwon;Seo, Youngmin;Zakhrouf, Mousaab;Malik, Anurag
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1037-1051
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    • 2021
  • Biochemical oxygen demand (BOD) concentration, one of important water quality indicators, is treated as the measuring item for the ecological chapter in lakes and rivers. This investigation employed novel two-stage hybrid paradigm (i.e., wavelet-based gated recurrent unit, wavelet-based generalized regression neural networks, and wavelet-based random forests) to predict BOD concentration in the Dosan and Hwangji stations, South Korea. These models were assessed with the corresponding independent models (i.e., gated recurrent unit, generalized regression neural networks, and random forests). Diverse water quality and quantity indicators were implemented for developing independent and two-stage hybrid models based on several input combinations (i.e., Divisions 1-5). The addressed models were evaluated using three statistical indices including the root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), and correlation coefficient (CC). It can be found from results that the two-stage hybrid models cannot always enhance the predictive precision of independent models confidently. Results showed that the DWT-RF5 (RMSE = 0.108 mg/L) model provided more accurate prediction of BOD concentration compared to other optimal models in Dosan station, and the DWT-GRNN4 (RMSE = 0.132 mg/L) model was the best for predicting BOD concentration in Hwangji station, South Korea.

Risk Ranking Analysis for the City-Gas Pipelines in the Underground Laying Facilities (지하매설물 중 도시가스 지하배관에 대한 위험성 서열화 분석)

  • Ko, Jae-Sun;Kim, Hyo
    • Fire Science and Engineering
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    • v.18 no.1
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    • pp.54-66
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    • 2004
  • In this article, we are to suggest the hazard-assessing method for the underground pipelines, and find out the pipeline-maintenance schemes of high efficiency in cost. Three kinds of methods are applied in order to refer to the approaching methods of listing the hazards for the underground pipelines: the first is RBI(Risk Based Inspection), which firstly assess the effect of the neighboring population, the dimension, thickness of pipe, and working time. It enables us to estimate quantitatively the risk exposure. The second is the scoring system which is based on the environmental factors of the buried pipelines. Last we quantify the frequency of the releases using the present THOMAS' theory. In this work, as a result of assessing the hazard of it using SPC scheme, the hazard score related to how the gas pipelines erodes indicate the numbers from 30 to 70, which means that the assessing criteria define well the relative hazards of actual pipelines. Therefore. even if one pipeline region is relatively low score, it can have the high frequency of leakage due to its longer length. The acceptable limit of the release frequency of pipeline shows 2.50E-2 to 1.00E-l/yr, from which we must take the appropriate actions to have the consequence to be less than the acceptable region. The prediction of total frequency using regression analysis shows the limit operating time of pipeline is the range of 11 to 13 years, which is well consistent with that of the actual pipeline. Concludingly, the hazard-listing scheme suggested in this research will be very effectively applied to maintaining the underground pipelines.

Characterization of the Transglycosylation Reaction of 4-α-Glucanotransferase (MalQ) and Its Role in Glycogen Breakdown in Escherichia coli

  • Nguyen, Dang Hai Dang;Park, Sung-Hoon;Tran, Phuong Lan;Kim, Jung-Wan;Le, Quang Tri;Boos, Winfried;Park, Jong-Tae
    • Journal of Microbiology and Biotechnology
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    • v.29 no.3
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    • pp.357-366
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    • 2019
  • We first confirmed the involvement of MalQ (4-${\alpha}$-glucanotransferase) in Escherichia coli glycogen breakdown by both in vitro and in vivo assays. In vivo tests of the knock-out mutant, ${\Delta}malQ$, showed that glycogen slowly decreased after the stationary phase compared to the wild-type strain, indicating the involvement of MalQ in glycogen degradation. In vitro assays incubated glycogen-mimic substrate, branched cyclodextrin (maltotetraosyl-${\beta}$-CD: G4-${\beta}$-CD) and glycogen phosphorylase (GlgP)-limit dextrin with a set of variable combinations of E. coli enzymes, including GlgX (debranching enzyme), MalP (maltodextrin phosphorylase), GlgP and MalQ. In the absence of GlgP, the reaction of MalP, GlgX and MalQ on substrates produced glucose-1-P (glc-1-P) 3-fold faster than without MalQ. The results revealed that MalQ led to disproportionate G4 released from GlgP-limit dextrin to another acceptor, G4, which is phosphorylated by MalP. In contrast, in the absence of MalP, the reaction of GlgX, GlgP and MalQ resulted in a 1.6-fold increased production of glc-1-P than without MalQ. The result indicated that the G4-branch chains of GlgP-limit dextrin are released by GlgX hydrolysis, and then MalQ transfers the resultant G4 either to another branch chain or another G4 that can immediately be phosphorylated into glc-1-P by GlgP. Thus, we propose a model of two possible MalQ-involved pathways in glycogen degradation. The operon structure of MalP-defecting enterobacteria strongly supports the involvement of MalQ and GlgP as alternative pathways in glycogen degradation.