• Management & Information Systems Review
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• v.34 no.5
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• pp.71-92
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• 2015

This study analyzes the impact of Corporate Social Responsibility (CSR) activities on financial performances using Bayesian Network. The research tries to overcome the issues of the uniform assumption of a linear function between financial performance and CSR activities in multiple regression analysis widely used in previous studies. It is required to infer a causal relationship between activities of CSR which have an impact on the financial performances. Identifying the relationship would empower the firms to improve their financial performance by informing the decision makers about the different CSR activities that influence the financial performance of the firms. This research proposes General Bayesian Network (GBN) and presents Markov Blanket induced from GBN. It is empirically demonstrated that all the proposals presented in this study are statistically significant by the results of the research conducted by Korean Economic Justice Institute (KEJI) under Citizen's Coalition for Economic Justice (CCEJ) which investigated approximately 200 companies in Korea based on Korean Economic Justice Institute Index (KEJI index) from 2005 to 2011. The Bayesian Network to effectively infer the properties affecting financial performances through the probabilistic causal relationship. Moreover, I found that there is a causal relationship among CSR activities variable; that is Environment protection is related to Customer protection, Employee satisfaction, and firm size; Soundness is related to Total CSR Evaluation Score, Debt-Assets Ratio. Though the what-if analysis, I suggest to the sensitive factor among the explanatory variables.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.245-250
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• 2017

Flash floods is defined as the flooding of intense rainfall over a relatively small area that flows through river and valley rapidly in short time with no advance warning. So that it can cause damage property and casuality. This study is to establish the flash-flood warning system using 38 accident data, reported from the National Disaster Information Center and Land Surface Model(TOPLATS) between 2009 and 2012. Three variables were used in the Land Surface Model: precipitation, soil moisture, and surface runoff. The three variables of 6 hours preceding flash flood were reduced to 3 factors through factor analysis. Decision tree, random forest, Naive Bayes, Support Vector Machine, and logistic regression model are considered as big data methods. The prediction performance was evaluated by comparison of Accuracy, Kappa, TP Rate, FP Rate and F-Measure. The best method was suggested based on reproducibility evaluation at the each points of flash flood occurrence and predicted count versus actual count using 4 years data.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.29-47
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• 2016

The government has been implementing the preliminary feasibility study to examine previously a plan of the national R&D program submitted by each government ministry or institution and decide whether to reflect its budget. However, although R&D investments obviously have a different contribution depending on the different types of project, the current system applies the average R&D contribution rate to whole industry across the board in order to estimate benefits of the creating value from the R&D activity. This system in turn will cause a distorted result in the economic feasibility analysis. Therefore, this paper conducts an empirical analysis on the ICT R&D contribution for the creating value added, on behalf of all industries, through the growth accounting method and explores an applicability of the differential R&D contribution rate as an alternative by comparing to the existing R&D contribution rate. The result of this paper shows the ICT R&D contribution rate is 48.2%, and we can find out there is a significant difference compared to the existing R&D contribution rate. In light of this, it is necessary to adopt carefully the differentiated R&D contribution rate considering project characteristics.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.240-253
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• 2016

This study was undertaken to better understand the professional recognition of the food service industry of college students in food service realted majors based on characteristics of the respondents In order to achieve the purpose of the study, 211 questionnaire surveys were colelcted in the period from May 19 to May 30, 2014. The study conducted regression analysis by using SPSS Win18.0 package, for frequency analysis, exploratory factor analysis, analysis of reliability, correlation analysis tests, t-test, andone way ANOVA. Measure of occupation self-esteem, positive values, social reputation, negatively handled, relatively effectively configuration, each construct was to ensure reliable and statistically significant relevance. The results were analyzed by the difference factor of occupation self-esteem according to demographic characteristics, depending on gender, has confirmed that the perceived social reputation in a different way, depending on the differences in grade, to verify that you are aware of the positive values in a different way. Also Department has been analyzed with the degree of cognitive differ for positive values and negative treatment in accordance with, understand that it perceives the relative effects and negative treatment in accordance with the future desired profession in a different way. This suggests that there is a need to find ways to satisfaction and career decision level of major occupational self-esteem is high is to raise the occupational self-esteem major of food service industry college students based on the results of previous research get higher. In particular, I would like to emphasize that there is a need provide a substantial improvement on the negative treatment and the most negative recognize and social reputation is for the work of the food service industry.

• Archives of design research
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• v.19 no.1 s.63
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• pp.27-38
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• 2006

Recently, in each local self-governments Japan, the importation of universal design policy is actively being expanded as a plan to maximize living satisfaction of.citizens within the region. This research investigates the background on how the local self-governments ended up importing the universal design administrative policy, investigates the policies which each self governing bodies have been promoting and presents necessary stipulations following those policies. When we sum up the necessity of promoting universal design by local self-governments, although the we carry various problems in the promoting process in the settlement of provincial era and promoting substantiality of it, we can point out the low birth rate phenomenon, progression of aged people's society, diversification of values as a result of social and economic maturity, etc. as social and economic background. For people's values, as they escape from the economic they attach great importance to economic supremacy, they respect culture, environment, etc. with higher level than economic aspect and the improvement of life's quality is becoming important. Meanwhile, the universal design which is known to many users as a usable design concept as reach to a point where it is getting attention as a basic concept of 21st century design. Today, each of local self-governments in Japan are making various efforts for unperturbed importation and application of universal design to local communities through homepage, universal design guideline or report, various workshops, etc. Especially, there are universal design policies of public areas, facilities, manufacture of other products and information for the contents of the policy. The enforcement of universal design policy puts importance in 1) the process of planning, alteration, policy scheme and decision making 2) the process of policy's enforcement 3) the probation process of all processes and I could find out that equal participation of roles by local citizens, citizen's organizations, companies with the administration hasn't been adopted for each of these processes.

• Journal of Dental Rehabilitation and Applied Science
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• v.36 no.1
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• pp.41-47
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• 2020

Purpose: The purpose of this study was to evaluate the flexural strength and reliability of highly translucent colored zirconia for all ceramic restoration. Materials and Methods: Bar-shaped specimens (25 × 4 × 2.5 mm) were prepared from highly translucent monolithic zirconia. Three experimental groups were set up according to color (shade A0, A1, and A3). For each group, 20 specimens were prepared. Flexural strength was determined using a 3-point flexural test and results were analyzed with one-way ANOVA test. Weibull statistical analysis provided 2 parameter estimates: Weibull modulus and characteristic strength. X-ray diffraction (XRD) analysis was performed. Results: There was statistically significant difference between uncolored (Shade A0) and colored (shade A1 and A3) (P < 0.05), but there was no difference between colored groups (P > 0.05). The uncolored group had higher reliability compared with colored study groups. On x-ray diffraction analysis of each group, typical peaks of tetragonal phase appeared in all groups. Conclusion: Within the limitations of this in vitro study, coloring highly translucent zirconia had significant effect on flexural strength and reliability. Therefore, clinicians should be careful when using highly translucent colored zirconia to prevent breakage of veneering ceramic and enhance aesthetics.

• Korean Journal of Construction Engineering and Management
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• v.17 no.2
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• pp.12-20
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• 2016

Along with the change of national accounting, the importance of systematic management of assets is emphasized and the awareness that the concept termed Asset Management should be introduced to the construction field too to manage facilities. The present study is a basic study for the introduction of the concept Asset Management and proposed accounting guidelines(proposal) for public building maintenance cost that can clarify maintenance cost accounting. Existing literatures and current accounting standards were examined and the actual states of maintenance cost accounting of public buildings in A metropolitan city were examined to draw problems. For the practice guidelines(proposal), the types and contents of government office building maintenance expenditures were analyzed and items that must be treated as OPEX and CAPEX were presented. Expert interviews were conducted to verify the reliability of the items presented. The practice guidelines(proposal) were applied to the public buildings in A metropolitan city to identify situations of changes in asset values and review the effects of the practice guidelines(proposal) on increases in asset values. When applied to practices, the practice guidelines(proposal) suggested in the present study are considered to increase building asset values and provide consistent financial information to help stakeholders' decision making.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.1
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• pp.111-116
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• 2010

To improve occupants' safety in an emergency, crashworthy design is necessary to rotorcraft design and development. Especially, landing gear has the important role for crashworthy design because landing gear absorbs relatively large energy for the crash landing. In addition, military specifications require failure of landing gear shall not increase danger to any occupants by penetration of the airframe. To meet the specification requirements, crashworthiness device like failure mechanism should be prepared so that landing gear is collapsed safely and doesn't penetrate the airframe. In this study, design and design development test of the failure mechanism which is necessary for the rotorcraft landing gear was performed. First, collapse scenario was determined for the landing gear not to penetrate the airframe. Then, the failure pin which is the most important part of the failure mechanism was designed with 2 strength range in order to meet design criteria. Finally, design of the failure mechanism was verified successfully by design development test.

• Journal of Food Hygiene and Safety
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• v.16 no.2
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• pp.103-110
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• 2001

Predictive food microbiology(PFM) is an emerging area of food microbiology since the later 1980’s. It does apply mathematical models to predict the responses of microorganism to specified environmental variables. Although, at present, PFM models do not completely developed, models can provide very useful information for microbiological responses in HACCP(Hazard Analysis Critical Control Point) system and Risk Assessment. This study illustrates the possible use of PFM models(PMP: Pathogen Modeling Program win5.1) with milk in several elements in the HACCP system, such as conduction of hazard analysis and determination of CCP(Critical Control Points) and CL(Critical Limits). The factors likely to affect the growth of the pathogens in milk involved storage fixed factors were pH 6.7, Aw 0.993 and NaCl 1.3%. PMPwin5.1 calculated generation time, lag phase duration, time to level of infective dose for pathogens across a range of storage (Critical Control Points) and CL(Critical Limits). The factors likely to affect the growth of the pathogens in milk involved storage temperature, pH, Aw and NaCl content. The factors likely to affect the growth of the pathogens in milk involved storage temperature, pH, Aw and NaCl content. The variable factor was storage temperature at the range of 4~15$^{\circ}C$ and the fixed factors were pH 6.7, Aw 0.993 and NaC 1.3%. PMPwin5.1 calculated generation time, lag phase duration, time to level of infective dose for pathogens across a range of storage temperature.

• Korean Journal of Remote Sensing
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• v.36 no.5_4
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• pp.1179-1194
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• 2020

This study investigates the feasibility of three algorithms, K-Nearest Neighbors (K-NN), Random Forest (RF) and Neural Network (NN), for estimating the air temperature of an unobserved area where the weather station is not installed. The satellite image were obtained from Landsat-8 and MODIS Aqua/Terra acquired in 2019, and the meteorological ground weather data were from AWS/ASOS data of Korea Meteorological Administration and Korea Forest Service. In addition, in order to improve the estimation accuracy, a digital surface model, solar radiation, aspect and slope were used. The accuracy assessment of machine learning methods was performed by calculating the statistics of R² (determination coefficient) and Root Mean Square Error (RMSE) through 10-fold cross-validation and the estimated values were compared for each target area. As a result, the neural network algorithm showed the most stable result among the three algorithms with R² = 0.805 and RMSE = 0.508. The neural network algorithm was applied to each data set on Landsat imagery scene. It was possible to generate an mean air temperature map from June to September 2019 and confirmed that detailed air temperature information could be estimated. The result is expected to be utilized for national disaster safety management such as heat wave response policies and heat island mitigation research.