• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.586-590
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• 2010

정부가 생각하는 중요한 정책방향은 두 가지를 보면 알 수 있다. 바로 예산과 인력이다. 필요하다고 판단하는 곳에 정부는 예산과 인력이 투입되게 마련이다. 따라서 국가의 재정운용에 대한 평가를 해보면 어떤 것이 중요한 것인지에 대한 가치판단을 할 수 있다. 국가의 물관리 예산도 마찬가지이다. 국민소득과 여러 가지 사회경제적 특성에 따라 물관리예산은 국가별로 차이가 난다. 그러나 경제발전단계가 높을수록 높은 관리예산이 투입되는 것이 일반적이다. 과연 우리나라의 물관리예산은 적정한 것일까? 그러나 우리나라의 물관리는 여러 부처에 분산되어 있고 하천의 관리도 국가하천과 지방하천으로 구분되어 있기 때문에 이 질문에 답을 하기가 어렵다. 엄밀히 말하면 우리나라의 물관리예산이 연간 모두 얼마인지를 정확히 알지 못한다. 결국 적정한 수준인지를 평가할 수도 없다. 홍수방어와 용수공급이라는 시급성으로 인해 공공투자의 성격이 강했기 때문에 굳이 평가가 필요 없었을 수도 있다. 그러나 물관리가 과거와는 달리 복잡해졌고 따라서 물관리를 위한 정부의 재정계획과 집행 역시 여기에 맞게 보다 세심해져야 한다. 이제까지의 물관리예산이 사회적인 인프라를 건설하는데 주력했었다면 이제는 거버넌스와 생태계관리는 물론 물순환 전체를 위한 다양한 정책에 국가 재정이 투입될 필요가 있다. 그러나 이 같은 의사결정은 현재 재정계획과 투입입의 적정성과 타당성이 먼저 평가되어야 한다. 본 연구는 OECD내 다른 국가들의 물관리예산과 우리나라의 물관리예산을 비교분석함으로써 우리나라 물관리예산의 적정성을 평가하고자 한다. 특히 합리적인 재정구조를 가지고 있다고 판단되는 남아프리카공화국과의 비교를 통해 향후 우리나라의 과제가 무엇인지 검토하고자 한다.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.123-134
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• 2016

As the internet of things has come into the spotlight, wearable devices have been emerging as a new and growing market and the next hot thing in the world. However, wearable device growth in the market has not met expectations. For continued growth and diffusion of wearable devices, it is important to investigate user resistance factors to them. This study gives attention to people who have resistance to wearable devices' tendency towards innovative uses. Specifically, this study is intended to find out which factors influence consumers' resistance and intention to use wrist-worn wearable devices, which are in high demand among wearable device. Results of the study show that the relative advantage, innovation expectation, complexity, financial risk and physical risk are the predictors of innovation resistance on wrist-worn wearable devices. And consumers' resistance affects the intention of positive acceptance. These findings confirm the importance of consumer resistance to the wrist-worn wearable device.

• Journal of Life Science
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• v.32 no.7
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• pp.550-566
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• 2022

Stroke is among the leading causes of death and long-term physical and cognitive disabilities worldwide, affecting an estimated 15 million people annually. The pathophysiological process of stroke is complicated by multiple and coordinated events. The breakdown of the blood-brain barrier (BBB) in people with stroke can significantly contribute to the development of ischemic brain injury. Therefore, BBB disruption is recognized as a hallmark of stroke; thus, it is important to develop novel therapeutic strategies that can protect against BBB dysfunction in ischemic stroke. Traditional medicines are composed of natural products, which represent a promising source of new ingredients for the development of conventional medicines. Indeed, several studies have shown the effectiveness of Korean medicine on stroke, highlighting the value of Korean medicinal treatment for ischemic stroke. This review summarizes the current information and underlying mechanisms regarding the ameliorating effects of the formula, decoction, herbs, and active components of traditional Korean medicine on cerebral ischemia-induced BBB disruption. These traditional medicines were shown to have protective effects on the BBB in many cellular and animal ischemia models of stroke, and experiments in various animal species, such as mice and rats. In addition, they showed brain-protective effects by protecting the BBB through the regulation of tight junction proteins and matrix metalloproteinase-9, reducing edema, neuroinflammation, and neuronal cell death. We hope that this review will help promote further investigation into the neuroprotective effects of traditional Korean medicines and stimulate the performance of clinical trials on Korean herbal medicine-derived drugs in patients with stroke.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.607-610
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• 2007

In this paper, proposes the monitoring system it will be able to trace the executed of each threads in OpenMP based a parallel program. The monitoring system of existing in uses each threads label information and the analysis technique which uses the access-history was most. This has the problem which raises the time and space complexity which is caused by with massive information creation. In this paper, only the thread which includes interest information it creates tracking information with the target. And it provides information which is intuitive to the user it provides the visualization system for to a same time. The visualization model is composed the images-information of a base. This does to be it will be able to understandable a program execute situation using an image processing technique. Therefore, this paper provides the parallel program an effective debugging environment.

• Journal of Global Scholars of Marketing Science
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• v.18 no.2
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• pp.89-111
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• 2008

Due to the development of digital technology, studies regarding smart wear integrating daily life have rapidly increased. However, consumer research about perception and attitude toward smart clothing hardly could find. The purpose of this study was to identify innovative characteristics and perceived risk of smart clothing and to analyze the influences of theses factors on product attitudes and intention to adopt. Specifically, five hypotheses were established. H1: Perceived attributes of smart clothing except for complexity would have positive relations to product attitude or purchase intention, while complexity would be opposite. H2: Product attitude would have positive relation to purchase intention. H3: Product attitude would have a mediating effect between perceived attributes and purchase intention. H4: Perceived risks of smart clothing would have negative relations to perceived attributes except for complexity, and positive relations to complexity. H5: Product attitude would have a mediating effect between perceived risks and purchase intention. A self-administered questionnaire was developed based on previous studies. After pretest, the data were collected during September, 2006, from university students in Korea who were relatively sensitive to innovative products. A total of 300 final useful questionnaire were analyzed by SPSS 13.0 program. About 60.3% were male with the mean age of 21.3 years old. About 59.3% reported that they were aware of smart clothing, but only 9 respondents purchased it. The mean of attitudes toward smart clothing and purchase intention was 2.96 (SD=.56) and 2.63 (SD=.65) respectively. Factor analysis using principal components with varimax rotation was conducted to identify perceived attribute and perceived risk dimensions. Perceived attributes of smart wear were categorized into relative advantage (including compatibility), observability (including triability), and complexity. Perceived risks were identified into physical/performance risk, social psychological risk, time loss risk, and economic risk. Regression analysis was conducted to test five hypotheses. Relative advantage and observability were significant predictors of product attitude (adj $R^2$=.223) and purchase intention (adj $R^2$=.221). Complexity showed negative influence on product attitude. Product attitude presented significant relation to purchase intention (adj $R^2$=.692) and partial mediating effect between perceived attributes and purchase intention (adj $R^2$=.698). Therefore hypothesis one to three were accepted. In order to test hypothesis four, four dimensions of perceived risk and demographic variables (age, gender, monthly household income, awareness of smart clothing, and purchase experience) were entered as independent variables in the regression models. Social psychological risk, economic risk, and gender (female) were significant to predict relative advantage (adj $R^2$=.276). When perceived observability was a dependent variable, social psychological risk, time loss risk, physical/performance risk, and age (younger) were significant in order (adj $R^2$=.144). However, physical/performance risk was positively related to observability. The more Koreans seemed to be observable of smart clothing, the more increased the probability of physical harm or performance problems received. Complexity was predicted by product awareness, social psychological risk, economic risk, and purchase experience in order (adj $R^2$=.114). Product awareness was negatively related to complexity, meaning high level of product awareness would reduce complexity of smart clothing. However, purchase experience presented positive relation with complexity. It appears that consumers can perceive high level of complexity when they are actually consuming smart clothing in real life. Risk variables were positively related with complexity. That is, in order to decrease complexity, it is also necessary to consider minimizing anxiety factors about social psychological wound or loss of money. Thus, hypothesis 4 was partially accepted. Finally, in testing hypothesis 5, social psychological risk and economic risk were significant predictors for product attitude (adj $R^2$=.122) and purchase intention (adj $R^2$=.099) respectively. When attitude variable was included with risk variables as independent variables in the regression model to predict purchase intention, only attitude variable was significant (adj $R^2$=.691). Thus attitude variable presented full mediating effect between perceived risks and purchase intention, and hypothesis 5 was accepted. Findings would provide guidelines for fashion and electronic businesses who aim to create and strengthen positive attitude toward smart clothing. Marketers need to consider not only functional feature of smart clothing, but also practical and aesthetic attributes, since appropriateness for social norm or self image would reduce uncertainty of psychological or social risk, which increase relative advantage of smart clothing. Actually social psychological risk was significantly associated to relative advantage. Economic risk is negatively associated with product attitudes as well as purchase intention, suggesting that smart-wear developers have to reflect on price ranges of potential adopters. It will be effective to utilize the findings associated with complexity when marketers in US plan communication strategy.

• Culinary science and hospitality research
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• v.15 no.3
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• pp.179-196
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• 2009

As consumers are more conscious about the preferred traits and branding in restaurant selection, restaurant practitioners are getting more interested in the traits which constitute and influence consumers' brand association. Dining selection is known to be a complicated psychological process that consumers undergo, incorporating social and cultural values, personal tastes, and other psychological factors. This study was designed to investigate the specific non-food traits perceived by consumers in fine restaurant selection. Also, it prioritized those examined traits. Building on exploratory qualitative research, results from 11 interviews through focus group sessions were utilized in data analysis. Content analysis of the interviews enabled categorization of the associations. The categorized variables were utilized for empirical data analysis of conjoint analysis. First, the results suggested five superior traits such as atmosphere, price, customer relations, employee competence, and convenience of systems in fine restaurant brand association. Second, they were prioritized in the order of atmosphere, price, consumer relations, employee competence, and convenience. Finally this study provided practical implications for fine restaurant professionals in linking consumers' psychologically networked traits to brand selection.

• 한국노년학
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• v.38 no.1
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• pp.225-241
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• 2018

Self-driving is meaningful activity for older persons because it enlarges the range of activity and provides opportunities for social participation. Driving is a complex activity that requires integration of physical, cognitive and sensory functions and is influenced by human and psychological factors. Age related functional deterioration affects the driving ability of older drivers. The purpose of this study is to investigate the factors affecting the risk of accidents and driving cessation of elderly drivers through systematic literature review. MEDLINE, EMBASE, Cochrane Library, KoreaMed, Pubmed were used for searching articles published from 2007 to 2017. 'aged', 'aging', 'automobile driving', 'age factors' were used as search terms and 18 articles were finally selected for analysis among 1,458 articles. In result of the study, the most significant effect showed in the physical domain, the driving habit and the performance function. The most frequent used tools evaluated driving habit and the cognitive function. In demographic characteristics, there was a correlation with the driving discontinue according to sex and age. This study emphasizes the necessity of preparing measures for safety driving with elderly. In addition, it suggests the necessity of systematically services such as individual education programs based on various driving cessation related factors of the elderly.

• Archives of design research
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• v.19 no.5 s.67
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• pp.351-362
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• 2006

Currently, finding one's way in the underground spaces associated with subway stations in large cities is becoming a serious problem, and an environment that facilitates wayfinding is becoming more important. This study investigated interior treatments that function as visual cues in the subway stations of Seoul, Tokyo, and Taipei in order to develop design guidelines that would improve the place-cognition environment. A theoretical study has shown that there are three categories of visual cue for place cognition: marked trails, regional differentiation, and landmarks. The case study showed that marked trails involve treatments like vertical markers, confrontational positioning, and subway color codes. Regional differentiation involves patterns on the floors and walls, and accent colors on the walls and columns. Landmarks include treatments such as super graphics, symbolic features, artistic decoration and special lights. In the cases of Seoul, marked trails and regional differentiation were predominant. In addition, the Olympic symbol 'Hodori' and the ancient Korean character "Hunminjungeum" were used as landmarks. In the cases of Tokyo, regional differentiation predominated over marked trails because of the complexity of the spatial structure and subway line connection system. In the cases of Taipei, simple, unified images predominated, and there was minimal dependence on marked trails and landmarks. The need for regional differentiation was weak, because the stations studied have open structures that guarantee an open field of view. The results of this research could be used as design guidelines, after further experimental verification, that would help to improve the public environment in terms of wayfinding.

• Information Systems Review
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• v.10 no.3
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• pp.257-287
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• 2008

Grounded in the prior literatures on acceptance and diffusion of IT and innovation in the level of organization research, 3 major constructional factors such as Motivation, IT resistance, and IT change management were investigated to suggest propositions from 15 multi-cases of PLM from 6 different companies in Automotive OEMs and suppliers, and we posited that the diffusion is continued only when motivation is stronger enough to overcome IT resistance as a fundamental finding and basis of this research on PLM acceptance and diffusion. The Motivation was found to be initiated and categorized from three different factors such as environmental factors, organizational factors, and technological factors, providing key propositions for further research: (1)The Automotive suppliers, contrary to OEM, are affected more by the demand of inter-connectivity as an environmental factor, while the other factors are similarly influencing to them, (2)The big organizations are influenced more by the champion, while the small organizations get influenced more by leader. (3)When the trend, inter-connectivity and complexity get stronger, the motivation gets more strongly influenced by the perceived benefit in the technological context. Regarding Change management we suggests IT change management is supportive to overcome IT resistance and also to enforce Motivation, and the critical mass exists differently according to the market maturity adopted, and more market matured technology has lower critical mass, implies less requirement of IT change management than less market matured technology.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.373-384
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• 2014

Data mining is to clarify pattern or correlation of mass data of complicated structure and to predict the diverse outcomes. This technique is used in the fields of finance, telecommunication, circulation, medicine and so on. In this paper, we selected risk factors of respiratory diseases in the field of medicine. The data we used was divided into respiratory diseases group and health group from the Gyeongsangbuk-do database of Community Health Survey conducted in 2012. In order to select major risk factors, we applied data mining techniques such as neural network, logistic regression, Bayesian network, C5.0 and CART. We divided total data into training and testing data, and applied model which was designed by training data to testing data. By the comparison of prediction accuracy, CART was identified as best model. Depression, smoking and stress were proved as the major risk factors of respiratory disease.