Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2015.05a
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pp.89-92
/
2015
In this paper, we propose a method to reduce the fire suppression time. Our suggestions can secure a safe area according to the diffusion path and speed of the fire, forest fire prediction minimize casualties and property damage forests. The existing path prediction method wildfire spread predict the wildfire spread model and speed through topography, weather, fuel factor and the image information. In this case, however, occur to control a large mountain huge costs. Also Focus on the diffusion model predictions and the path identified by the problem arises that insufficient efforts to ensure the safe area. In this paper, we estimate the moving direction and speed of fire at a lower cost, and proposes an algorithm to ensure the safety zone for fire suppression. The proposed algorithm is a technique to analyze the attribute information that temperature, wind, smoke measured over time. According to our algorithm forecast wildfire moving direction and ensure the safety zone. By analyzing the moving speed and the moving direction of the simulated fire in a given environment is expected to be able to quickly reduce the damage to the forest fire fighters.
Korean Journal of Construction Engineering and Management
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v.11
no.6
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pp.100-110
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2010
The main roots of CM service contracts include existing customer repurchases and those made by new customers by existing ones. The study on customers and loyalty can be factors to strengthen CM's competitiveness. However, there have been little attempt to study customer satisfaction and customer loyalty. Construction Management (CM), the advanced construction management method, was introduced 15 years ago in the mid 1990's in the domestic market. The aim of this research is to build a model that can predict customer loyalty based on how much customers are satisfied with CM service. To measure customer satisfaction and loyalty, this research surveyed 135 decision-makers who have experienced CM services. Customer satisfaction was tested and analyzed according to different phases: planning, designing, procurement, construction, and post construction. Referral intention was tested based on NPS theory. Customer types were divided into detractors, passively satisfied and promoters according to the tested measurement and multinomial logistic regression between the satisfaction by construction phases and customer types. This research resulted to a model that can predict customer types: detractors, passively satisfied and promoters, which were determined according to satisfaction level. The initial planning phase also revealed which factor is most influential for a customer to become promoter. These results can be used to acquire customer loyalty by managing the satisfaction of customers through a project under an Internet-based environment. Such can provide the needed information in quickly exploring positive and negative word-of-mouth feedbacks.
Journal of the Korean Data and Information Science Society
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v.27
no.3
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pp.677-687
/
2016
Among lots of sabermetric statistics for baseball batters' ability, the wins above replacement (WAR) is the most popular statistic in MLB. However, there exists a difficulty applying WAR to KBO, since KBO data do not have position adjustment, league adjustment and park factor which are essential in calculating WAR. In this paper, using five statistics for both KBO and MLB qualified batters, we propose hitting ability index (HAI), an alternative sabermetric indices to represent batters' ability. Comparing HAI with WAR of MLB batters, we evaluate the validity of HAI and then applied HAI to 2015 KBO data in which HAI is analyzed statistically with respect to different teams, ages, and positions. Moreover, the linear relationship between KBO batter's HAI and their annual salary is discussed. Grouping 46 KBO batters based on confidence region of the regression model for annual salary, we also statistically investigate batter's annual salary in these groups with respect to several factors.
Journal of the Korean Data and Information Science Society
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v.28
no.3
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pp.573-584
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2017
The main purpose of this study is to investigate the important impacting factors of health-related quality of life (HRQOL) by different age groups. The subjects of this study were 5,976 adults over 19 based on data from the 2014 Korea National Health and Nutrition Examination Survey and EQ-5D index score was used for the measurement of HRQOL. Three age groups were considered of young (19-39), middle (40-65), and old (over 66) and for each age group Bayesian ordered probit model analysis was fitted to identify significant factors and their effects on HRQOL. Sex, subjective awareness of health, stress and diseases have been identified to be common important factors for all age groups. HRQOL of women is more likely to be lower than that of men. Subjective awareness of health affect positively but stress and diseases affect negatively on HRQOL. For middle age group, occupational activities have been found to be important positive factors on HRQOL. On the other hand, obesity is more important factor influencing on HRQOL negatively and frequent walking is recommended for old age group.
The Government had devised legislation of Special Act and drew up guidelines for improving air quality in Seoul Metropolitan area. In 2007 local government of Seoul, Incheon and Gyeonggi conducted the results of application policy by reduced air pollutants emission for the first time. Although there was reduction of air pollutant emission in each local government, it was ineffective as expected using air pollution monitoring database. Therefore we worked out a way to prepare modeling input data using the results of enforcement plan. And we simulated surface $NO_2$ and PM10 before and after decrease in air pollutants emission and examine reduction effects of air pollution according to enforcement regulation except other influence, by using MM5-SMOKE-CMAQ system. Each local government calculated the amount of emission reduction under application policy, and we developed to prepare input data so as to apply to SMOKE system using emission reduction of enforcement plan. Distribution factor of emission reduction were classified into detailed source and fuel codes using code mapping method in order to allocate the decreased emission. The code mapping method also included a way to allocate spatial distribution by CAPSS distribution. According to predicted result using the reduction of NOx emission, $NO_2$ concentration was decreased from 19.1 ppb to 18.0 ppb in Seoul. In Gyeonggi and Incheon $NO^2$ concentrations were down to 0.65 ppb and 0.68 ppb after application of enforcement plan. PM10 concentration was reduced from 18.2 ${\mu}g/m^3$ to 17.5 ${\mu}g/m^3$ in Seoul. In Gyeonggi PM10 concentration was down to 0.51 ${\mu}g/m^3$ and in Incheon PM10 concentration was decreased about 0.47 ${\mu}g/m^3$ which was the lower concentration than any other cities.
Journal of the Korean Society of Food Science and Nutrition
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v.42
no.10
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pp.1576-1584
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2013
This study is carried out to assess the relative effects of different doses of dietary glucose or fructose on non-alcoholic fatty liver disease (NAFLD) and hepatic metaflammation in a rodent model of type 2 diabetes. KK/HlJ male mice were fed experimental diets as follows: 1) control (CON), 2) moderate glucose (MG, 30% of total calories as glucose), 3) high glucose (HG, 60% of total calories as glucose), 4) moderate fructose (MF, 30% of total calories as fructose), and 5) high fructose (HF, 60% of total calories as fructose) for three weeks. Food intake was not affected by treatments. Compared with HF, HG not only increased serum fasting glucose and area under the curve during oral glucose tolerance test, but also decreased the levels of serum insulin and adiponectin. It indicated that glucose control was complicated via high glucose intake. High fructose treatment led to increased triglyceride in the serum and liver. In comparison to HG, high fructose diet activated NOD-like receptor family, pyrin domain containing 3 (NLRP3) inflammasome consisting of apoptosis-associated speck-like protein containing a CARD (ASC), NLRP3 and caspase 1, which increases interleukin (IL)-$1{\beta}$ maturation and secretion. The activation of NLRP3 inflammasome was accompanied by increased levels of tumor necrosis factor alpha (TNF-${\alpha}$) and IL-6. However, the expression of NLRP3 inflammasome components and pro-inflammatory cytokines did not differ between CON and HG. These data suggested that dietary fructose triggers hepatic metaflammation accompanied by NLRP3 inflammasome activation and has deleterious effects on NAFLD.
Journal of the Korean Society of Food Science and Nutrition
/
v.46
no.2
/
pp.267-272
/
2017
Piceatannol (PIC) is a natural hydroxylated analog of resveratrol (RSV), which is a polyphenol known to extend lifespan by stimulating sirtuins. The aim of this study was to investigate the effects of PIC and RSV on the toll-like receptor 4 (TLR4)-nuclear factor kappa B ($NF-{\kappa}B$) pathway in mouse hepatocytes and an obese/diabetic KK/HlJ mouse model. AML12 mouse hepatocytes in the absence or presence of palmitic acids (PA) were treated with PIC ($50{\mu}M$) or RSV ($50{\mu}M$). Male KK/HlJ mice at 20 weeks of age were divided into three subgroups as follows: 1) obese and diabetic control (KK), 2) KK_PIC, and 3) KK_RSV. PIC and RSV were administered orally at a dose of 10 mg/kg/d for 4 weeks. Four weeks of PIC and RSV treatment did not affect body weight or food intake in KK mice. Serum fasting blood glucose was significantly reduced in KK_PIC, and 2 h oral glucose tolerance test area under the curve was significantly reduced by PIC and RSV treatment in KK mice. PIC tended to improve homeostasis model assessment of the insulin resistance index (HOMA-IR) and HOMA beta-cells in diabetic KK mice. TLR4 and $NF-{\kappa}B$ were down-regulated by PIC and RSV treatments in hepatocytes in the absence or presence of PA. Insulin receptor, AMP-activated protein kinase, peroxisome proliferator-activated receptor gamma, nucleotide oligomerization domain-like receptor family pyrin domain-containing 3, interleukin-1, and $NF-{\kappa}B$ were altered in PIC-treated livers. Collectively, PIC and RSV inhibited the $TLR4-NF-{\kappa}B$ pathway, and PIC seems to be more effective than RSV in the regulation of analyzed targets, which are involved in insulin signaling and inflammation in vivo.
Kim Chi-Ho;Jang Seok-Won;Kang Su-Hwan;Kim Sang-Woon;Song Sun-Kyo
Journal of Gastric Cancer
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v.5
no.2
/
pp.113-119
/
2005
Purpose: Some controversies exist over the prognostic values of lymphatic, venous, and neural invasion in patients with gastric cancer. This study was conducted to confirm the prognostic values of these histopathologic factors in gastric cancer patients who received a gastrectomy. Materials and Methods: Data for clinicopathologic factors and clinical outcomes were collected retrospectively from the medical records of 1,018 gastric cancer patients who received a gastrectomy at Yeungnam University Medical Center between January 1995 and December 1999. A statistical analysis was done using the SPSS program for Windows (Version 10.0, SPSS Inc., USA). The Kaplan-Meier method was used for the survival analysis. Prognostic factors were analyzed by using a multivariate analysis with Cox proportional hazard regression model. Results: Ages ranged from 21 to 79 (median age, 56). A univariate analysis revealed that age, tumor size, location, gross type, depth of invasion, extent of gastrectomy or lymph node dissection, lymph node metastasis, distant metastasis, lymphatic invasion, venous invasion, neural invasion, pathologic stage, histologic type, and curability of surgery had statistical significance. Among these factors, lymph node metastasis, curability of surgery, neural invasion, lymphatic invasion, and depth of invasion were found to be independent prognostic factors by using a multivariate analysis. Venous invasion showed no prognostic value in the multivariate analysis. Conclusion: Neural invasion and lymphatic invasion are useful parameters in determining a prognosis for gastric cancer patients.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.7
no.2
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pp.63-76
/
2012
The possibility of successful commercialization of technologically innovative products depends on the degree to which consumers select and utilize the product. Therefore, the research that endeavors to find the usage behavior and the acceptance intention of users of technologically innovative products is a very important quest. This study empirically analyzes the factors that influence commercialization of a technologically innovative product: cloud computing. Existing studies examined acceptance intentions by expanding the TAM model and excluded attitude and usage behavior. This study determined attitude, usage behavior and personal characteristics of consumers to be important influencing factors. The results of the empirical analysis are as follows: First, the self-efficacy of personal characteristics had a significant effect on ease of use and acceptance intention and perceived costs had a significant influence on the factors of perceived usefulness and perceived ease of use. Second, research on the systematic characteristics of cloud computing confirmed that security was an important factor affecting acceptance intention while innovativeness was critical to ease of use. Third, of the usage characteristics among users of technologically innovative products, perceived usefulness had an effect on the acceptance and usage behavior of cloud computing, and perceived ease of use had an important influence on perceived usefulness. Currently, when cloud computing services have not yet become widespread to the public, this study proposed meaningful results for policy direction and commercialization strategies by revealing variables that influence acceptance and usage behavior.
Proceedings of the Korean Society For Composite Materials Conference
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2002.10a
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pp.88-91
/
2002
The two dimensional size effect of specimen gauge section (length x width) was investigated on the compressive behavior of a T300/924 [45/-45/0/90]3s, carbon fiber-epoxy laminate. A modified ICSTM compression test fixture was used together with an anti-buckling device to test 3mm thick specimens with a 30$\times$30, 50$\times$50, 70$\times$70, and 90mm$\times$90mm gauge length by width section. In all cases failure was sudden and occurred mainly within the gauge length. Post failure examination suggests that $0^{\circ}$ fiber microbuckling is the critical damage mechanism that causes final failure. This is the matrix dominated failure mode and its triggering depends very much on initial fiber waviness. It is suggested that manufacturing process and quality may play a significant role in determining the compressive strength. When the anti-buckling device was used on specimens, it was showed that the compressive strength with the device was slightly greater than that without the device due to surface friction between the specimen and the device by pretoque in bolts of the device. In the analysis result on influence of the anti-buckling device using the finite element method, it was found that the compressive strength with the anti-buckling device by loaded bolts was about 7% higher than actual compressive strength. Additionally, compressive tests on specimen with an open hole were performed. The local stress concentration arising from the hole dominates the strength of the laminate rather than the stresses in the bulk of the material. It is observed that the remote failure stress decreases with increasing hole size and specimen width but is generally well above the value one might predict from the elastic stress concentration factor. This suggests that the material is not ideally brittle and some stress relief occurs around the hole. X-ray radiography reveals that damage in the form of fiber microbuckling and delamination initiates at the edge of the hole at approximately 80% of the failure load and extends stably under increasing load before becoming unstable at a critical length of 2-3mm (depends on specimen geometry). This damage growth and failure are analysed by a linear cohesive zone model. Using the independently measured laminate parameters of unnotched compressive strength and in-plane fracture toughness the model predicts successfully the notched strength as a function of hole size and width.
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