• Title/Summary/Keyword: 4C model

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A Study on the Prediction of Community Smart Pension Intention Based on Decision Tree Algorithm

  • Liu, Lijuan;Min, Byung-Won
    • International Journal of Contents
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    • v.17 no.4
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    • pp.79-90
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    • 2021
  • With the deepening of population aging, pension has become an urgent problem in most countries. Community smart pension can effectively resolve the problem of traditional pension, as well as meet the personalized and multi-level needs of the elderly. To predict the pension intention of the elderly in the community more accurately, this paper uses the decision tree classification method to classify the pension data. After missing value processing, normalization, discretization and data specification, the discretized sample data set is obtained. Then, by comparing the information gain and information gain rate of sample data features, the feature ranking is determined, and the C4.5 decision tree model is established. The model performs well in accuracy, precision, recall, AUC and other indicators under the condition of 10-fold cross-validation, and the precision was 89.5%, which can provide the certain basis for government decision-making.

Statistical flexural toughness modeling of ultra high performance concrete using response surface method

  • Mosabepranah, Mohammad A.;Eren, Ozgur
    • Computers and Concrete
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    • v.17 no.4
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    • pp.477-488
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    • 2016
  • This paper aims to model the effects of five different variables which includes: cement content (C), the steel fiber amount (F), the silica fume amount (SF), the superplasticizer (SP), the silica fume amount (SF), and the water to cementitious ratio (w/c) on 28 days flexural toughness of Ultra High Performance Concrete (UHPC) as well as, a study on the variable interactions and correlations by using analyze of variance (ANOVA) and response surface methodology (RSM). The variables were compared by fine aggregate mass. The model will be valid for the mixes with 0.18 to 0.32 w/c ratio, 4 to 8 percent steel fiber, 7 to 13 percent cement, 15 to 30 percent silica fume, and 4 to 8 percent superplasticizer by fine aggregate mass.

Thermal Characteristics and Simulation Model Development for Greenhouse Heating System with Heat Pump (열펌프에 의한 그린하우스 난방시스템의 열특성과 시뮬레이션 모델개발)

  • 노정근;송현갑
    • Journal of Biosystems Engineering
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    • v.26 no.2
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    • pp.155-162
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    • 2001
  • The greenhouse heating system with heat pump was built for development of simulation model and validation. The computer simulation model for the system to predict temperature of air and soil and moisture content of soil in the greenhouse were developed, and its validity was justified by actual data. From the analysis of experimentally measured data and the simulation output, following results were obtained. 1. The expected values of inside air temperature for the heating system with heat pump were very much close to the experimental values. 2. In the heating system with heat pump, the expected values of day time surface temperature of soil by computer simulation were very much similar to the measured values, but those of night time were higher than the measured value by at most 2.0$\^{C}$. 3. The simulation model predicted temperature of greenhouse film as of 1$\^{C}$ below than the mean value of ambient air and greenhouse air temperature. 4. Heat loss value of daytime was found to be larger than that of nigh as much as 1.3 to 2.3 times for the heating system with heat pump. 5. In the heating system with heat pump, when the lowest ambient temperature was -8$\^{C}$∼-7$\^{C}$ the air temperature of greenhouse was 5$\^{C}$∼6$\^{C}$, thus the heat pump heating system contributed in greenhouse heating by 13$\^{C}$.

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Performance Analysis of Heat Sink for LED Downlight Using Lumped Parameter Model (집중변수모델을 이용한 LED조명등 방열기구의 성능분석)

  • Kim, Euikwang;Jo, Youngchul;Yi, Seungshin;An, Younghoon
    • Journal of Energy Engineering
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    • v.26 no.2
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    • pp.64-72
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    • 2017
  • The performance analysis of the 70 W class LED lighting system suitable for the Middle East environment was performed using the lumped parameter model. The LED light is composed of a heating substrate, a heat pipe, and a heat sink. We divided the LED lights into four objects and applied energy equilibrium to each of them to establish four lumped nonlinear differential equations. The solution of the simultaneous equations was obtained by the Runge-Kutta method. Convective heat transfer coefficients of the lumped model were obtained by multidimensional CFD analysis. As a result of comparison with experiment, it was found that the heating substrate had an error of $1.5^{\circ}C$ and the upper heat sink had an error of $1.8^{\circ}C$ and the relative error was about 0.6 %. Using this model, temperature distribution analysis was performed for normal operating conditions with an ambient temperature of $55^{\circ}C$, with sunlight only, with abnormal operating conditions with sunlight, and without an upper heat sink.

Quantitative Microbial Risk Assessment for Campylobacter jejuni in Ground Meat Products in Korea

  • Lee, Jeeyeon;Lee, Heeyoung;Lee, Soomin;Kim, Sejeong;Ha, Jimyeong;Choi, Yukyung;Oh, Hyemin;Kim, Yujin;Lee, Yewon;Yoon, Ki-Sun;Seo, Kunho;Yoon, Yohan
    • Food Science of Animal Resources
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    • v.39 no.4
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    • pp.565-575
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    • 2019
  • This study evaluated Campylobacter jejuni risk in ground meat products. The C. jejuni prevalence in ground meat products was investigated. To develop the predictive model, survival data of C. jejuni were collected at $4^{\circ}C-30^{\circ}C$ during storage, and the data were fitted using the Weibull model. In addition, the storage temperature and time of ground meat products were investigated during distribution. The consumption amount and frequency of ground meat products were investigated by interviewing 1,500 adults. The prevalence, temperature, time, and consumption data were analyzed by @RISK to generate probabilistic distributions. In 224 samples of ground meat products, there were no C. jejuni-contaminated samples. A scenario with a series of probabilistic distributions, a predictive model and a dose-response model was prepared to calculate the probability of illness, and it showed that the probability of foodborne illness caused by C. jejuni per person per day from ground meat products was $5.68{\times}10^{-10}$, which can be considered low risk.

Further Evidence of Linkage at the tva and tvc Loci in the Layer Lines and a Possibility of Polyallelism at the tvc Locus

  • Ghosh, A.K.;Pani, P.K.
    • Asian-Australasian Journal of Animal Sciences
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    • v.18 no.5
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    • pp.601-605
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    • 2005
  • Three lines of White Leghorn (WL) chickens (IWJ, IWG and IWC) maintained at Central Avian Research Institute, Izatnagar (UP), were used for chorioallantoic membrane (CAM) and liver tumour (LT) assay. Eleven-day-old embryos of each line were partitioned into three groups and inoculated with 0.2 ml of subgroup A, subgroup C and an equal mixture of subgroup A and C Rous sarcoma virus (RSV). Subgroup virus receptor on the cell surface membrane for subgroup A is coded for by tumour virus a (tva) locus and for subgroup C by tumour virus c (tvc) locus. The random association of the genes at the tva and tvc loci in IWJ and IWC line was assessed and the $x^2$-values for phenotypic classes were found to be significant, indicating the linkage between the tva and tvc loci. The linkage value was estimated to be 0.09 on pooled sex and pooled line basis. On the basis of four subclass tumour phenotypes a 4-allele model was proposed for tva locus having $a^{s1}$, $a^{s2}$, $a^{r1}$ and $a^{r2}$ alleles and the frequencies were calculated as 0.47, 0.13, 0.13 and 0.27 for IWJ line, 0.31, 0.33, 0.14 and 0.22 for IWG line and 0.44, 0.11, 0.21 and 0.24 for IWC line, respectively. Similarly, for tvc locus the frequencies of four alleles i.e. $c^{s1}$, $c^{s2}$, $c^{r1}$ and $c^{r2}$ were calculated as 0.42, 0.20, 0.21 and 0.17 for IWJ line, 0.42, 0.17, 0.27 and 0.14 for IWG line and 0.30, 0.21, 0.16 and 0.33 for IWC line, respectively. The $x^2$-values for all classes of observations were not significant (p>0.05), indicating a good fit to the 4-allele model for the occurrence of 4-subclass tumour phenotypes for tva and tvc loci. On the basis of the 2-allele model both tva and tvc locus carries three genotypes each. But, on the basis of the 4-allele model tva and tvc locus carries 10 genotypes each. The interaction between A-resistance and C-resistance (both CAM and LT death) was ascertained by taking the 10 genotypes of tva locus and 3 genotypes of tvc locus by pooling the lines and partitioning the observations into 3 classes. The $x^2$-values for the genotypic classes of CAM (-) LT (+) and CAM (-) LT (-) phenotypes to mixed virus (A+C) infection were found to be highly significant (p<0.01), indicating increased resistance, which indicates the joint segregation of $a^r$ and $c^r$ genes, suggesting the existence of close linkage between the tva and tvc loci. Therefore, an indirect selection approach using subgroup C viruses can be employed to generate stocks resistant to subgroup A LLV, obviating contamination with the most common agent causing LL in field condition.

Flow resistance of bottom pair trawl nets and scale effect in their model experiments (쌍끌이 기선저인망의 유수저항 특성 및 모형 실험시의 축척비 영향)

  • Kim, Dae-Jin
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.51 no.2
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    • pp.203-211
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    • 2015
  • The purpose of this study is to identify the flow resistance of the bottom pair trawl nets. The bottom pair trawl nets being used in fishing vessel (100G/T, 550ps) was selected as a full-scale net, and 1/10, 1/25 and 1/50 of the model nets were made. Converted into the full-scale net by Tauti's modeling rule and Kim's modeling rule, when resistance coefficient k of each net was calculated by substituting into above equation for flow resistance R and wall area of nets S values of each net ${\upsilon}$. Because resistant coefficient k decreases exponentially according as flow velocity ${\upsilon}$ increases to make $k=c{\upsilon}^{-m}$, c and m values of each net were compared. As a result, as the model was smaller, c and m values was smaller in the two rule into standard of 1/10 model value, decrease degree of 1/25 model was almost same in the two rule, decrease degree of 1/50 model was very big in Tauti's modeling rule. Therefore, in the result of experiment, because average of c and m values for similarly 1/10 and 1/25 model were given $c=4.9(kgf{\cdot}s^2/m^4)$ and m=0.45, R (kgf) of bottom pair trawl net could show $R=4.9S{\upsilon}^{1.55}$ using these values. As in the order of cod-end, wing and bag part for 1/25 and 1/50 model net were removed in turn, measured flow resistance of each, converted into the full-scale, total resistance of the net and the resistance of each part net were calculated. The resistance ratio of each part for total net was not same in 1/25 and 1/50 model each other, but average of two nets was perfectly same area ratio of each part as the wing, bag and cod-end part was 43%, 45% and 12%. However, the resistance of each part divided area of the part, calculated the resistance of per unit area, wing and bag part were not big difference each other, while the resistance of cod-end part was very large.

A Study on the Method for Setting the Optimal Maintenance Concept based on RAM-C Using Modeling & Simulation (M&S를 활용한 RAM-C 기반 최적 정비 개념 설정 방안 연구)

  • Kim, Kyungrok;Lee, Kiwon;Jeong, Jun;Cha, Jonghan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.5
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    • pp.530-538
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    • 2022
  • Recently, the R&D of weapon systems has been strengthened in terms of economic cost management throughout the entire life cycle from performance. This study proposes the method for setting the optimal maintenance concept based on RAM-C in weapon system acquisition stage by calculating the operation & maintenance cost as well as reliability, availability, and maintainability. First, we design a simulation model for analysis of weapon system logistic supportability. In addition, information such as weapon system Part Breakdown Structure, operation & maintenance system, cost, and etc for simulation analysis, is applied. Based on the obtained simulation results, the optimal plan is selected among alternatives designed with various maintenance concepts through normalization and weight setting. It is expected to be of technical help in the application of RAM-C in the weapon system acquisition stage.

Precision Evaluation of Recent Global Geopotential Models based on GNSS/Leveling Data on Unified Control Points

  • Lee, Jisun;Kwon, Jay Hyoun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.2
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    • pp.153-163
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    • 2020
  • After launching the GOCE (Gravity Field and Steady-State Ocean Circulation Explorer) which obtains high-frequency gravity signal using a gravity gradiometer, many research institutes are concentrating on the development of GGM (Global Geopotential Model) based on GOCE data and evaluating its precision. The precision of some GGMs was also evaluated in Korea. However, some studies dealt with GGMs constructed based on initial GOCE data or others applied a part of GNSS (Global Navigation Satellite System) / Leveling data on UCPs (Unified Control Points) for the precision evaluation. Now, GGMs which have a higher degree than EGM2008 (Earth Gravitational Model 2008) are available and UCPs were fully established at the end of 2019. Thus, EIGEN-6C4 (European Improved Gravity Field of the Earth by New techniques - 6C4), GECO (GOCE and EGM2008 Combined model), XGM2016 (Experimental Gravity Field Model 2016), SGG-UGM-1, XGM2019e_2159 were collected with EGM2008, and their precisions were assessed based on the GNSS/Leveling data on UCPs. Among GGMs, it was found that XGM2019e_2159 showed the minimum difference compared to a total of 5,313 points of GNSS/Leveling data. It is about a 1.5cm and 0.6cm level of improvement compare to EGM2008 and EIGEN-6C4. Especially, the local biases in the northern part of Gyeonggi-do, Jeju island shown in the EGM2008 was removed, so that both mean and standard deviation of the difference of XGM2019e_2159 to the GNSS/Leveling are homogeneous regardless of region (mountainous or plain area). NGA (National Geospatial-Intelligence Agency) is currently in progress in developing EGM2020 and XGM2019e_2159 is the experimentally published model of EGM2020. Therefore, it is expected that the improved GGM will be available shortly so that it is necessary to verify the precision of new GGMs consistently.

A Study on the Effects of Chungyeolmaksungbang on Mouse Model of Membranous Nephropathy Induced by Cationic Bovine Serum Albumin (청열막성방(淸熱膜性方)이 Cationized Bovine Serum Albumin투여로 유발된 Mouse의 Membranous Nephropathy에 미치는 영향)

  • Choi, In-Gu;Cho, Chung-Sik;Kim, Cheol-Jung
    • The Journal of Internal Korean Medicine
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    • v.29 no.1
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    • pp.104-116
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    • 2008
  • Objective : Membranous nephropathy (MN) is the most common cause of adult nephrotic syndrome worldwide. MN has been defined as granular subepithelial deposition of IgG immune complexes along the glomerular basement membrane (GBM). We aimed to identify the effects of Chungyeolmaksungbang (CYMSB) treatment on cBSA-induced in MN mouse model. Methods : The effect of Chungyeolmaksungbang treatment was studied on the morphology and protein excretion in the cationized bovine serum albumin (cBSA)induced mouse chronic serum sickness nephritis model. One group of mice was given intra-peritoneal (i.p.) immunizing doses of cBSA and complete Freund's adjuvant. One week later, these animals began a single i.p. injection of cBSA for 4 weeks. A second group followed the same injection protocol, but was given CYMSB p.o. Results : Proteinuria significantly was decreased and serum albumin was increased in the group treated with cBSA and CYMSB extract compared with the control. Serum BUN was significantly decreased on CYMSB compared with control. CD3e+/CD19 cells ratio of peripheral blood was decreased and CD4+/CD8 cells was increased. Level of $IL-1{\beta}$ was significantly decreased, and $IFN-{\gamma}$ was significantly increased. Concentration of IgG and IgM was significantly decreased compared with control. Thickness of GBM was decreased on histological analysis of kidney. Deposition of CD4 and CD8 was decreased on immunohistochemical staining of kidney. Conclusions : We conclude that CYMSB treatment may could be a useful remedy agents for treating the MN with cBSA.

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