• Journal of Digital Convergence
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• v.15 no.1
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• pp.97-108
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• 2017

Web 2.0 paradigm and technologies allow users to contribute their information voluntarily and actively to online community. This paper aims to investigate key determinants of information contribution in online communities. We come up with the research model and proposed hypotheses on the basis of intensive literature review on motivation theory, information literacy, and self expression. Using survey response date collected from those who have ever experienced in uploading or providing information on online community such as social media. A total of 262 survey responses were used to test research hypotheses. The results show that self expression motive influences on information representation capability(IRC) and information contribution. The impact of Information literacy on IRC is found to be significant, and IRC is positively related to information contribution. In addition, approval motive is proven to be key determinant of IRC and information contribution. Some practical implications of these findings are discussed.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.3
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• pp.371-381
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• 2016

This paper presents a study on reliability assessment and new contribution function development of power system including Wind Turbine Generator(WTG) combined with Battery Energy Storage System(BESS). This paper develops and proposes new reliability contribution function of BESS installed at wind farms. The methodology of reliability assessment, using Monte Carlo Simulation(MCS) method to simulate sample state duration, is proposed in detail. Forced Outage Rate(FOR) considered probabilistic approach for conventional generators is modelled in this paper. The penetration of large wind power can make risk to power system adequacy, quality and stability. Although the fluctuation of wind power, BESS installed at wind farms may smooth the wind power fluctuation. Using small size system as similar as Jeju island power system, a case study of reliability evaluation and new proposed contribution function of power system containing WTG combined with BESS is demonstrated in this paper, which would contributes to BESS reliability contribution and assessment tools of actual power system in future.

• International Area Studies Review
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• v.20 no.3
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• pp.101-121
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• 2016

This research is purposed to analyze the effect of firms' current socially responsible management on the future corporate financial performance with specified areas of socially responsible management according to the beneficiaries. Tobin's Q statistic and return on assets are calculated and exploited as measures of corporate financial performance. as of empirical analysis results, we found that the social contributions in the consumer area and external social contribution at time t influence the Tobin's Q statistic at time (t+1) in the aggregate analysis. as it is revealed that there is no effect in the firms with the outstanding social performance to the future corporate financial performance, we understand that the capital market is very sensitive to the external social contribution including consumers of firms with the weak social performance rather than the social contribution of socially outstanding firms. This sensitivity of capital market can effectively enhance the social contribution of firms, in particular listed firms with the weak social performance.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.771-782
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• 2021

Social entrepreneurship plays a key role in organizational performance, and social contribution activities are related to organizational members' perception of social enterprise value and performance sharing. The purpose of this study is to verify the mediating effect of social contribution activities in the relationship between social entrepreneurship and organizational performance. For the study, a questionnaire survey was conducted on members of social enterprises, and data of 186 valid copies were used for statistical analysis. Statistical analysis used reliability of measurement variables, confirmatory factor analysis, correlation analysis, and mediating effect analysis. The results of the study are as follows. First, there was a significant correlation between social entrepreneurship, social contribution activities, and organizational performance. Second, social entrepreneurship has a significant correlation with organizational performance. Social purpose and initiative, sub-factors of social entrepreneurship, had a significant influence on organizational commitment. Third, social contribution activities showed a significant relationship with organizational performance. Fourth, in the relationship between social entrepreneurship and organizational performance, social contribution activities showed a partial mediating effect. This suggests that social contribution activities play an important role in improving the performance of social enterprises.

• Journal of Environmental Health Sciences
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• v.48 no.2
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• pp.59-65
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• 2022

Background: Since people move through microenvironments rather than staying in one place, they may be exposed to both indoor and outdoor PM_2.5 concentrations. Objectives: The aim of this study was to assess the exposure level of each sub-population group and evaluate the contribution rate of the major microenvironments. Methods: Exposure scenarios for sub-population groups were constructed on the basis of a 2019 Time-Use survey and the previous literature. A total of five population groups were classified and researchers wearing MicroPEM simulated monitoring PM_2.5 exposure concentrations in real-time over three days. The exposure contribution for each microenvironment were evaluated by multiplying the inhalation rate and the PM_2.5 exposure concentration levels. Results: Mean PM_2.5 concentrations were 33.0 ㎍/m³ and 22.5 ㎍/m³ in Guro-gu and Wonju, respectively. When the exposure was calculated considering each inhalation rate and concentration, the home showed the highest exposure contribution rate for PM_2.5. As for preschool children, it was 90.8% in Guro-gu, 94.1% in Wonju. For students it was 65.3% and 67.3%. For housewives it was 98.2% and 95.8%, and 59.5% and 91.7% for office workers. Both regions had higher exposure to PM_2.5 among the elderly compared to other populations, and their PM_2.5 exposure contribution rates were 98.3% and 94.1% at home for Guro-gu and Wonju, respectively. Conclusions: The exposure contribution rate could be dependent on time spent in microenvironments. Notably, the contribution rate of exposure to PM_2.5 at home was the highest because most people spend the longest time at home. Therefore, microenvironments such as home with a higher contribution rate of exposure to PM_2.5 could be managed to upgrade public health.

• Smart Media Journal
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• v.11 no.3
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• pp.9-17
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• 2022

Algorithmic trading, which uses algorithms to trade financial products, has a problem in that the results are not stable due to many factors in the market. To alleviate this problem, ensemble techniques that combine trading algorithms have been proposed. However, there are several problems with this ensemble method. First, the trading algorithm may not be selected so as to satisfy the minimum performance requirement (more than random) of the algorithm included in the ensemble, which is a necessary requirement of the ensemble. Second, there is no guarantee that an ensemble model that performed well in the past will perform well in the future. In order to solve these problems, a method for selecting trading algorithms included in the ensemble model is proposed as follows. Based on past data, we measure the contribution of the trading algorithms included in the ensemble models with high performance. However, for contributions based only on this historical data, since there are not enough past data and the uncertainty of the past data is not reflected, the contribution distribution is approximated using the Dirichlet distribution, and the contribution values are sampled from the contribution distribution to reflect the uncertainty. Based on the contribution distribution of the trading algorithm obtained from the past data, the Transformer is trained to predict the future contribution. Trading algorithms with high predicted future contribution are selected and included in the ensemble model. Through experiments, it was proved that the proposed ensemble method showed superior performance compared to the existing ensemble methods.

• 한국신재생에너지학회:학술대회논문집
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• 2007.11a
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• pp.677-677
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• 2007

• Journal of Korean Society for Atmospheric Environment
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• v.21 no.5
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• pp.495-505
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• 2005

This study is to estimate source contribution by air pollutantion types (point, area, line) over Seoul metropolitan area. The Air Pollution Model (TAPM) and the highly resolved anthropogenic and biogenic gridded emissions ($1km{\times}1km$) were applied to simulate $SO_2,\;NO_2,\;O_3\;and\;PM_{10}$ concentrations by seasons and contribution was estimated by their source types (point, area, line). The results showed that the simulated concentrations of secondary pollutant agreed well with observed values with an index of agreement (IOA) over 0.4, whereas IOAs over 0.3 were observed for most primary pollutants. The contributions of each source types by seasons were similar. The point source contribution was the highest for $SO_2$ at medium level ranged from $55.1\%\;to\;61.5\%$. But the contribution from area source during for the spring and summer increased as the concentration level increased. The line source contribution was the highest for $NO_2$ at all levels ranged from $68.3\%\;to\;93.1\%$. The results indicate that $SO_2$ emissions should be mainly controlled from point source, as well as area source at higher level concentration. Also, $NO_2\;and\;PM_{10}$ to from line source should be controlled.

• Korean Journal of Community Nutrition
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• v.25 no.1
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• pp.32-47
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• 2020

Objectives: Calcium (Ca) is an insufficiently consumed nutrient, whereas phosphorus (P) intake has exceeded the recommended intake level in Korea over the past decade. The purpose of this study was to analyze dietary Ca and P intakes and their contribution rate according to dish groups. Methods: A 24-hour dietary recall survey of 640 healthy adults (aged 19-69 years) was undertaken twice in four Korean provinces. Dietary Ca and P intakes and their rates of contribution from 31 major dish groups were analyzed and compared by gender, age group, and region. Results: The average Ca and P intakes of the subjects were 542.1 ± 222.2 mg/d and 1,068.3 ± 329.0 mg/d, respectively. The intakes of Ca and P as percentages of recommended nutrients intake (RNI%) were 71.7 ± 29.8% and 152.6 ± 47%, respectively, and the percentages under the estimated average requirement were 60.3% for Ca and 3.8% for P. The RNI% of Ca was not significantly different between males and females, but was significantly higher in subjects in the sixties age group than in other age groups and was significantly lower in the Korean capital than in other regions. The RNI% of P did not significantly differ by gender or age groups, but it was significantly higher in the capital than in Gyeong-sang. The five major dish groups contributing to Ca intake (contribution rate) were milks/dairy products 69.2 ± 109.2 mg/d (12.6%), soups 55.6 ± 69.6 mg/d (10.1%), stir-fried foods 53.1 ± 70.7 mg/d (9.7%), stews 43.4 ± 85.4 mg/d (7.9%), and kimchi 38.4 ± 31.8 mg/d (7.0%). The five major dish group contributing to P intake (contribution rate) were cooked rice 160.7 ± 107.1 mg/d (14.9%), stir-fried foods 88.5 ± 89.4 mg/d (8.2%), soups 76.7 ± 85.8 mg/d (7.1%), one-dish meals 63.3 ± 94.4 mg/d (5.9%), and stews 62.6 ± 89.3 mg/d (5.8%). The dish groups contributing to Ca and P intakes differed somewhat by gender, age group, and region. Conclusions: Programs to improve the nutritional status of Ca and P intakes should consider the differences in Ca and P contribution rates by dish groups as well as by gender, age group, and region.

• Journal of the Korea Concrete Institute
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• v.26 no.4
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• pp.545-553
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• 2014

This study suggested an integrated classification method for generalized characteristics of PC beam-column connection according to connection details. Quantifying the failure mode of PC-beam column connection and characteristics of corresponding details, this study suggested to use deformation contribution of each element of beam-column assemblage. According to the expected failure mode of beam-column connection assemblage, PC beam-column connection can be classified into 'equivalent monolithic system' and 'jointed system'. In this study, four test specimens were tested for verification of detailed classification method of PC beam-column connections. Test was carried out with typical beam-column connection test method. Load was applied at the top of test specimen and end of beams were restrained by hinge. In order to verify the deformation contribution of each test specimen, 34-LVDTs were mounted on test specimen. According to test results, deformation contribution of each test specimen have different characteristics. Deformation characteristics of joint and other components which are quantified by test results, equivalent monolithic system can be classified into two categories. Strong connection have extremely small deformation contribution of joint and much larger deformation contribution was shown in flexural behavior of beam. The other type of beam-column connection is ductile connection which allows the larger deformation in joint area compared with strong connection.