• Journal of Institute of Control, Robotics and Systems
• /
• v.6 no.3
• /
• pp.273-283
• /
• 2000

In this paper we suggest an optimal design method of Fuzzy-Neural Networks(FNN) model for complex and nonlinear systems. The FNNs use the simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. And we use a HCM(Hard C-Means) Clustering Algorithm to find initial parameters of the membership function. The parameters such as parameters of membership functions learning rates and momentum weighted value is proposed to achieve a sound balance between approximation and generalization abilities of the model. According to selection and adjustment of a weighting factor of an aggregate objective function which depends on the number of data and a certain degree of nonlinearity (distribution of I/O data we show that it is available and effective to design and optimal FNN model structure with a mutual balance and dependency between approximation and generalization abilities. This methodology sheds light on the role and impact of different parameters of the model on its performance (especially the mapping and predicting capabilities of the rule based computing). To evaluate the performance of the proposed model we use the time series data for gas furnace the data of sewage treatment process and traffic route choice process.

• Wind and Structures
• /
• v.31 no.4
• /
• pp.321-334
• /
• 2020

Engineering type tropical cyclone (TC) wind field models are used to estimate TC wind hazard. Some of the models are well-calibrated using observation data, while others are not extensively compared and verified. They are all proxies to the real TC wind fields. The computational effort for their use differs. In the present study, a comparison of the predicted wind fields is presented by considering three commonly used models: the gradient wind field model, slab-resolving model, and a linear height-resolving model. These models essentially predict the horizontal wind speed at a different height. The gradient wind field model and linear height-resolving model are simple to use while the nonlinear slab-resolving model is more compute-intensive. A set of factors is estimated and recommended such that the estimated TC wind hazard by using these models becomes more consistent. The use of the models, including the developed set of factors, for estimating TC wind hazard over-water and over-land is presented by considering the historical tracks for a few sites. It is shown that the annual maximum TC wind speed can be adequately modelled by the generalized extreme value distribution.

• Journal of Korea Trade
• /
• v.23 no.3
• /
• pp.52-67
• /
• 2019

Purpose - This study analyzes the effect of the authorized economic operator-mutual recognition arrangement (AEO-MRA) on the performance of Korean exporters and importers. The effect of the import-export companies' characteristics, such as annual sales, the number of foreign markets, and overseas experience, on the AEO-MRA is deduced; the relationship between this effect and firm performance is analyzed. Design/methodology - An empirical research model was constructed and analyzed using structural equation modeling. The effect of AEO-MRA on logistics and operational performance was derived from the aforementioned characteristics as leading factors of the AEO-MRA. The regulatory influence of cooperation with logistics companies was analyzed in the AEO-MRA effect on logistics performance. Thus, 172 valid samples were obtained from import-export companies certified by the AEO-MRA. Findings - Among the aforementioned characteristics, only "annual sales" has a positive effect on the AEO-MRA, whose effect enhances logistics and operational performances. The AEO-MRA effect did not directly affect operational performance. Owing to the adjustment effect analysis, the AEO-MRA effect and logistics performance relationship is strengthened if the cooperative relationship with the logistics company is higher than a certain level. If this cooperation falls below a certain level, the AEO-MRA effect on logistics performance reduces. Thus, logistics cooperation is an important factor in the AEO-MRA effect and logistics performance relationship. Originality/value - Hinging on the resource-based theory and relational viewpoint, an empirical model that explains the relationship between the AEO-MRA effect and firm performance is established.

• The Journal of Industrial Distribution & Business
• /
• v.13 no.1
• /
• pp.23-32
• /
• 2022

Purpose: This study used ESG grade, but defined AESG, adjusted to the size of a company and examines whether it can be used as an investment strategy. Research design, data and methodology: The analysis sample in this study is a company that has given an ESG rating among companies listed on the Korea Stock Exchange. We examine the results through portfolio analysis and Fama-macbeth regression analysis. Results: As result of examining the long-only performance and the long-short performance by constructing quintile portfolios, it was observed that a significant positive return was shown. It was observed that there was an alpha that could not be explained in asset pricing models. Also, AESG had a return prediction effect in the result of a Fama-Macbeth regression that controlled corporate characteristic variables in individual stocks. Next, we confirmed AESG's usage through various portfolio composition. In the portfolio optimization, the Risk Efficient method was the most superior in terms of sharpe ratio and the construct multi-factor model with Value, Momentum and Low Vol showed statistically significant performance improvement. Conclusions: The results of this study suggest that it can be helpful in ESG investment to reflect the ESG rating of relatively small companies more through the scale adjustment of the ESG rating (i.e.AESG).

• Journal of Nutrition and Health
• /
• v.42 no.7
• /
• pp.622-630
• /
• 2009

The purpose of this study was to establish an association between glycemic index (GI), glycemic load (GL), dietary carbohydrates and diabetes with the context of the current population dietary practice in Korea. The subjects of 3,389 adults (male 1,430, female 1,959) were divided into normal (serum fasting glucose < 100 mg/dL), impaired glucose tolerance (100 ${\leq}$ serum fasting glucose < 126 mg/dL), diabetes (serum fasting glucose > 126 mg/dL) by serum fasting glucose. Anthropometric and hematologic factors, and nutrient intakes, dietary glycemic index (DGI), dietary glycemic load (DGL) were assessed. Multiple logistic regression model was used to determine the odds ratios (ORs) and 95% confidence intervals for relationship of DGI, DGL, carbohydrates intakes, and diabetes. DGI and DGL were not significantly correlated with impaired glucose tolerance and diabetes. However, the risk of impaired glucose tolerance and diabetes showed a tendency to increase as increase of DGI after multivariate adjustment (age, education, income, region area, diabetes family history, smoking, drinking, exercise, energy intake) in male. The risk of impaired glucose tolerance and diabetes showed a tendency to increase in the DGI 71.1-74.8 after multivariate adjustment in female. DGL was inversely related to impaired glucose tolerance and diabetes in male. In female, however, DGL was positively related to impaired glucose tolerance and diabetes. In particular, the risk of diabetes increased positively in level of DGL 260.5, and remained after multivariate adjustment (Q5 vs Q1：2.38, 0.87-6.48). When percent energy intakes from carbohydrates were more than 70%, the risk of impaired glucose tolerance and diabetes increased in both male and female. In particular, when percent energy intakes from carbohydrates were more than 69.9%, the risk of diabetes increased positively in male (Q4 vs Q1：2.34, 1.16-4.17). In conclusion, above 70% energy intakes from carbohydrates appeared to be a risk factor of diabetes. It seemed that the meal with high GI and GL value must be avoided it. And also, the macronutrients of the meal must be properly balanced. In particular, it may be said that it is a preventive way for treatment of the diabetes to avoid eating carbohydrates of much quantity.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.24
• /
• pp.10883-10885
• /
• 2015

Purpose: Neutrophil-to-lymphocyte ratio (NLR) was evaluated as a potential prognostic factor in patients with myelodysplastic syndrome (MDS). Materials and Methods: Between December 2009 and April 2014, 14 female (35%) and 26 male (65%) MDS patients who were followed up in our hematology clinic were included in the study for NLR during diagnosis. Division was into two groups according to the NLR, and the correlation with mortality was evaluated. The prognostic significance of NLR regarding treatment outcome was also evaluated with adjustment for known confounding risk factors. Results: The mortality rate of the patient group was 55%, and median survival was 18 months. There was no significant correlation between mortality and NLR at a median value of 1.8 (p=0.75). Thrombocytopenia was observed to increase mortality (p=0.027), and there was a significant correlation between mortality and pancytopenia (p=0.017). Conclusions: This first study of NLR and mortality did not show any significant correlation. In centres with limited access to genetic evaluation for the presence of pancytopenia and/or thrombocytopenia at the time of diagnosis, a platelet level less than $50{\times}10^9/l$ may be poor prognostic markers in MDS patients.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
• /
• 2001.06a
• /
• pp.1511-1511
• /
• 2001

Energy content, expressed as calories per gram, is an important part of the evaluation and marketing of foods in developed countries. Currently accepted methods of measurement of energy by U.S. food labeling legislation include measurement of gross calories by bomb calorimetry with an adjustment for undigested protein and by calculation using specific factors for the energy values of protein, carbohydrate less the amount of insoluble dietary fiber, and total fat. The ability of NIRS to predict the energy value of diverse, processed and unprocessed cereal food products was investigated. NIR spectra of cereal products were obtained with an NIR Systems monochromator and the wavelength range used for analysis was 1104-2494 nm. Gross energy of the foods was measured by oxygen bomb calorimetry (Parr Manual No. 120) and expressed as calories per gram (CPGI, range 4.05-5.49 cal/g). Energy value was adjusted for undigested protein (CPG2, range 3.99-5.38 cal/g) and undigested protein and insoluble dietary fiber (CPG3, range 2.42-5.35 cal/g). Using a multivariate analysis software package (ISI International, Inc.) partial least squares models were developed for the prediction of energy content. The standard error of cross validation and multiple coefficient of determination for CPGI using modified partial least squares regression (n=127) was 0.060 cal/g and 0.95, respectively, and the standard error of performance, coefficient of determination, bias and slope using an independent validation set (n=59) were 0.057 cal/g, 0.98, -0.027 cal/g and 1.05 respectively. The PLS loading for factor 1 (Pearson correlation coefficient 0.92) had significant absorption peaks correlated to C-H stretch groups in lipid at 1722/1764 nm and 2304/2346 nm and O-H groups in carbohydrate at 1434 and 2076 nm. Thus the model appeared to be predominantly influenced by lipid and carbohydrate. Models for CPG2 and CPG3 showed similar trends with standard errors of performance, using the independent validation set, of 0.058 and 0.088 cal/g, respectively, and coefficients of determination of 0.96. Thus NIRS provides a rapid and efficient method of predicting energy content of diverse cereal foods.

• Journal of the Society of Naval Architects of Korea
• /
• v.60 no.1
• /
• pp.38-47
• /
• 2023

According to the government policy of environmental regulations, interest of ship, which made with High-Density Polyethylene (HDPE) as a low-carbon and eco-friendly material, is growing as a substitute for the existing fishery boat hull materials such as FRP, aluminum, steel etc. However, regulations related to the production of HDPE ship are still quite incomplete. Even there are no regulations related to structural analysis. Therefore, in this study, structural analysis is carried out by applying different design loads for each international classification for 38ft class HDPE power boats, and the results are compared and analyzed. According to this study, although there is a correlation between the based pressure value and the analysis result value of each class regulation, it is not necessarily proportional. Also, This analysis result shows a difference not only depending on the size of design load, but also application range of the load, the pressure adjustment factor and section shape. However, the occurrence point and trend of the maximum stress values were quite consistent. It is hoped that the results of this study will be used when establishing HDPE ship structure analysis procedures and standards in the future.

• Journal of Digital Convergence
• /
• v.16 no.5
• /
• pp.85-95
• /
• 2018

With the scientists and the technicians of the small- and medium-sized enterprises who have been subscribing to the pension service as the subjects, this research took a look at the influences on the intention to continuously subscribe to the pension service and, finally, took a look at the differences between the subscribers of the safety type and the profit type which have been provided by the pension service. Through the questionnaire survey, which collected the data, an actual proof analysis was carried out. Through the statistical program, the degree of the reliability analysis and the feasibility analysis were carried out. And the degree of the suitability of the structural equation model was tested. And, finally, through the research model, the hypothesis was verified and the differences between the groups were analyzed. It appeared that the factors of the reliability and the responsiveness of the service quality factor have the positive influence on the perceived value, which is a parameter. And it appeared that the materiality and the perceptual openness factors cannot have any influence. And the stability and the usefulness, which are the attributed factors of the pension service, had the positive influences on the perceived value. Finally, it appeared that the perceived value of the pension service has a positive influence on the intention to subscribe continuously. Through the results of this research, it can contribute to the invigoration of the pension service. And it is thought that a pension service which is better than the preexistent pension service can be provided.

• Journal of Korean Biological Nursing Science
• /
• v.18 no.1
• /
• pp.43-50
• /
• 2016

Purpose: This study aimed to identify the relationship among knowledge, attitudes and prevention behaviors (PB) on tuberculosis (Tb) infection in nursing students. Methods: 268 subjects were recruited from two universities located in C D cities of Korea and data were collected utilizing self-reported questionnaires. Results: The mean scores of knowledge, attitudes and PB on Tb infection were 64.83, 3.18 and 2.97. The knowledge differed according to gender (t=-3.16, p=.002), grades (F=32.19, p<.001), educational experience about Tb (EETb) (F=10.59, p<.001), learning information about Tb (t=3.08, p=.002) and getting Tb: self or others (t=2.78, p=.006). The attitudes differed according to grades (F=7.71, p<.001) and EETb (F=2.68, p=.047). The PB differed according to grades (F=7.02, p<.001) and EETb (F=4.55, p=.004). Significant correlations were found between knowledge and PB (r=.20, p=001), attitudes and PB (r=.33, p<.001). The most significant factor influencing PB was attitudes with R2 value of 13.9% (F=11.81, p<.001). Conclusion: These findings indicate that knowledge and attitude adjustment may be necessary to improve PB for Tb infection in nursing students. Moreover further study is necessary to find out the ways to reinforce the level of attitudes. The results of the study can be utilized in educational programs for preventing Tb infection in nursing students.