• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.19-43
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• 2016

This study examines the causes of the Asian exchange rate crisis and compares it to the European Monetary System crisis. In 1997, emerging countries in Asia experienced financial crises. Previously in 1992, currencies in the European Monetary System had undergone the same experience. This was followed by Mexico in 1994. The objective of this paper lies in the generation of useful insights from these crises. This research presents a comparison of South Korea, United Kingdom and Mexico, and then compares three different models for prediction. Previous studies of economic crisis focused largely on the manual construction of causal models using linear techniques. However, the weakness of such models stems from the prevalence of nonlinear factors in reality. This paper uses a structural equation model to analyze the causes, followed by a neural network model to circumvent the linear model's weaknesses. The models are examined in the context of predicting exchange rates In this paper, data were quarterly ones, and Consumer Price Index, Gross Domestic Product, Interest Rate, Stock Index, Current Account, Foreign Reserves were independent variables for the prediction. However, time periods of each country's data are different. Lisrel is an emerging method and as such requires a fresh approach to financial crisis prediction model design, along with the flexibility to accommodate unexpected change. This paper indicates the neural network model has the greater prediction performance in Korea, Mexico, and United Kingdom. However, in Korea, the multiple regression shows the better performance. In Mexico, the multiple regression is almost indifferent to the Lisrel. Although Lisrel doesn't show the significant performance, the refined model is expected to show the better result. The structural model in this paper should contain the psychological factor and other invisible areas in the future work. The reason of the low hit ratio is that the alternative model in this paper uses only the financial market data. Thus, we cannot consider the other important part. Korea's hit ratio is lower than that of United Kingdom. So, there must be the other construct that affects the financial market. So does Mexico. However, the United Kingdom's financial market is more influenced and explained by the financial factors than Korea and Mexico.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.71-85
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• 2012

The purpose of this study is to estimate air purification effectiveness considering the improvement of its methods related atmospheric environment. The air purification effectiveness is estimated in Daegu, one out of Korean Metropolitan cities because air pollution is getting serious in a heavily urbanized area. The absorption of pollutants is calculated by considering spatial heterogeneity that was not considered previous studies and the spatial resolution of air dispersion modeling is also improved by kriging method. According to the type and distribution of urban forest, total 26 kinds of plant communities were distributed with Pinus densiflora community, Pinus densiflora-Quercus mongolica community, Pinus densiflora-Quercus acutissima community and other kinds of communities in the study area. In the results of estimating the $CO_2$ absorption amount for identification of the air purification effectiveness on urban forest, the annual absorption amount was total 108,155t/yr. Also, the annual absorption amounts of $NO_2$ and $SO_2$ were total 183.5 ton and 410.2 ton respectively. The findings from this study can confirm the differences of pollutant absorption by concentration that could not identify if spatial distribution of pollutant concentration had not been considered.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.1
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• pp.171-194
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• 2014

The purpose of this study is to understand the current status of 'One Book, One City' community-wide reading campaign by analyzing the characteristics of the books selected during the past fifteen years. According to the lists of 'One Book, One City' Reading Promotions Projects' available from the website of the Library of Congress, the Center for the Books, a total of 1,037 books were selected by 2,220 'One Book' programs. Major findings are as follows: First, 278 books (26.8%) and 759 books (73.2%) were selected by more than two 'One Book' programs and one program, respectively; Second, three most popular books were To Kill a Mockingbird (chosen in 84 programs), Fahrenheit 451 (in 53 programs), and The Kite Runner (in 50 programs); Third, with the wide diffusion of 'One Book' campaigns, the selection of unique books by individual 'One Book' programs has increased, and the impact of the books selected by 'Seattle Reads' and 'One Book, One Chicago' has gradually decreased.

• Journal of Korea Spatial Information System Society
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• v.8 no.1 s.16
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• pp.107-118
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• 2006

In this paper, several network algorithms were tested to find an optimal one for telecommunication network design. Algorithms such as Dijkstra's shortest path algorithm, Ford-Bellman's shortest path algorithm, Prim's minimum spanning tree algorithm, and Kruscal's minimum spanning tree algorithm were reviewed and compared in terms of feasibility and resulted network construction cost. Then an optimal algorithm that is most suitable for telecommunication network design was selected. For more specific and quantitative analysis of the selected algorithm, it was implemented to a real telecommunication network construction site. The analyzed results showed that the suggested design method when compared with the conventional one, reduced the network construction cost considerably. The total network length estimated by the conventional method were 5267 meters while the suggested method resulted in 4807 meters. Thus the new method reduced the total network length by 8.7 percent which is equivalent to 97,469,000 Won of construction cost. Considering the frequent telecommunication network constructions, due to new urban developments in the nation, the economic benefit of the suggested telecommunication network design method will be significant. In addition to the construction cost savings, the suggested telecommunication network design procedure possesses several other economic benefits. Since the design procedure can be standardized and automatized, it can reduce the design cost itself and the skill acquirement periods required for new or inapt design crews. Further, due to the standardized and automatized design procedure, any telecommunication network design results can accessed more objectively.

• Journal of Internet Computing and Services
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• v.15 no.4
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• pp.67-79
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• 2014

One of the core policies recently implemented by the Korean government is the introduction of a creative economy, a concept that integrates ICT with the existing economic structure in order to create new growth factors and jobs. In June of 2013, the National Assembly passed a bill for the institutional practice of a creative economy. The concept of a creative economy is to integrate industries centered on ICT in order to form a new-concept industry paradigm that creates new values and services that exceed past industrial categories. In other words, smart convergence, which integrates ICT with various industries, is evaluated as a core factor for boosting the creative economy. Thus, based on the definition of 'smart convergence', this study predicted the economic effects and sociocultural changes that will ensue due to the future era of smart convergence. Also, this study proposes policies for enhancing the creative economy in various ways. More specifically, in-depth interviews with convergence industry experts were carried out and quantitative analyses were performed employing a Solow Model. Furthermore, as a means to revitalize the creative economy, this study underscores the significance of the preemptive institutionalization of legislations and suggests several policy proposals regarding smart convergence rooted in market supply and the demand chain, smart convergence through selective focus, and smart work. This study is differentiated from previous studies that have only focused in establishing theories in that it offers quantitative research with a consideration of the feasibility of proposed policies. The leading experience of Korea regarding smart convergence can provide important lessons to other countries that hope to promote a creative economy as a means to create new growth factors and jobs.

• Korean journal of communication and information
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• v.18
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• pp.199-229
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• 2002

This study analyzed the trends of broadcaster licensing policy during 1990-2001 in Korea. It is to seek the answers about how the examination standards and procedures applied to broadcaster licensing has been changed for the last decade. For the purpose this study inquired six cases such as private broadcasting licence (1990 October), cable TV program provider licences(1993 July), cable TV system operator licences(1994 January), private local broadcaster licences(1994 July), satellite broadcaster licence(2000 December) and cable TV home shopping channel licences(2001 March). It examined the degree of specification and measurement of the standards based upon the government white paper; average points per item, average points per quantitative item, and average points per qualitative item etc. The government hadn't opened the standards and procedures how it licensed broadcasters until 1990 and the uncertain attitude brought distrust on the government broadcasting policy. The first white paper about broadcaster licensing was made in 1994 after cable TV broadcaster licensing was finished. The results indicated that Korean broadcasting licensing policy rapidly developed in the dimension of transparency from 'a secret room policy' to 'a sunshine policy' for the last decade. But it still needs improvement in the dimension of fairness of examination. Now one of the main distrust is the ratio that the one of qualitative examination standards are much more than the qualitative one.

• Korean journal of communication and information
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• v.44
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• pp.7-43
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• 2008

This study aims to identify a new direction in the consumer-brand relationship by quantitatively approaching from the psychological aspect consumers' brand love, which is the most powerful strategic element in forming an emotional consumer-brand relationship. What significance does brand love have in a consumer-brand relationship? Brand love is the most fundamental in the emotional consumer-brand relationship. Through brand ownership, consumers add meaning to their lives, and love brands by expressing themselves. Love is a scale that understands consumer-brand relationship from the most interpersonal aspect and can be considered as the most essential element in an empathetic relationship. Consumers' brand love not only determines brand image and reliability but through brand loyalty, it also influences market competitiveness. In addition, as a medium that can overcome brand crisis, it serves as a turning point of the relationship and can enhance the strength of consumers' brand love. Under such generational and theoretical background, this study took a psychological approach on love in emotional consumer-brand relationship. Focusing on the most representative theory and classification of love, Sternberg's Triangular Theory of Love, types of brand love were examined. 552 questionnaires were distributed through a survey with mobile phone service and product brands, and a factor analysis was conducted. Types of brand love revealed through the results of this study were very similar to Sternberg's types of love, and it was found that the types of brand love varied based on product category. It can be suggested that the concept of brand love is an important strategic idea in brand communication.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.255-265
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• 2022

We compared and analyzed the factors affecting the lecture evaluation of IT subjects, which are mandatory for all students of H University. The purpose of this study is to determine whether lecture satisfaction has a significant correlation with academic achievement, attendance rate, and categories of courses. In this study, we check whether the lecture satisfaction of IT liberal arts subjects that require a lot of computer-based practice differs from that of other liberal arts subjects. We used the 2,149 evaluation data of 12 lectures submitted by 2,322 students in the first and second semesters of year 2019 at University H. As for the lecture evaluation results, in addition to the evaluation scores of the multiple choice questions, the subjective questions were also quantified by classifying the statements submitted by the students into positive and negative types to make the results of the lecture evaluation objective. Our research results show that student group who have the higher attendance rates and academic achievements have higher level of lecture satisfaction and they also use more positive words than negative words in subjective evaluation questions. Students with the lower score use the more negative words, but the ratio between positive and negative words does not differ between groups. Higher attendance rates groups in the basic programming courses and software applications courses have higher lecture satisfaction ratio. But in the intermediate programming courses, the higher attendances rate and the lecture satisfaction do not have any significant relationship. Also students in the intermediate programming courses use more negative words than those in the basic programming courses.

• KDI Journal of Economic Policy
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• v.12 no.4
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• pp.3-20
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• 1990

The multisector model is designed to analyze and forecast structural change in industrial output, employment, capital and relative price as well as macroeconomic change in aggregate income, interest rate, etc. This model has 25 industrial sectors, containing about 1,300 equations. Therefore, this model is characterized by detailed structural disaggregation at the sectoral level. Individual industries are based on many of the economic relationships in the model. This is what distinguishes a multisector model from a macroeconomic model. Each industry is a behavioral agent in the model for industrial investment, employment, prices, wages, and intermediate demand. The strength of the model lies in the simulating the interactions between different industries. The result of its simulation will be introduced in the next paper. In this paper, we only introduce the structure of the multisector model and the coefficients of the equations. The multisector model is a dynamic model-that is, it solves year by year into the future using its own solutions for earlier years. The development of a dynamic, year-by-year solution allows us to combine the change in structure with a consideration of the dynamic adjustment required. These dynamics have obvious advantages in the use of the multisector model for industrial planning. The multisector model is a medium-term and long-term model. Whereas a short-term model can taken the labor supply and capital stock as given, a long-term model must acknowledge that these are determined endogenously. Changes in the medium-term can be analyzed in the context of long-term structural changes. The structure of this model can be summarized as follow. The difference in domestic and world prices affects industrial structure and the pattern of international trade; domestic output and factor price affect factor demand; factor demand and factor price affect industrial income; industrial income and relative price affect industrial consumption. Technical progress, as measured in terms of total factor productivity and relative price affect input-output coefficients; input-output coefficients and relative price determine the industrial input cost; input cost and import price determine domestic price. The differences in productivity and wage growth among different industries affect the relative price.

• Journal of Oriental Neuropsychiatry
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• v.22 no.3
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• pp.101-113
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• 2011

Objectives : Trend of R&D of herbal medicine for dementia treatment was examined based on the quantitative information analysis for establishing the national strategy of research on dementia treatment with oriental medicine. Methods : Definition was made to clarify the technology for development of herbal medicine for dementia treatment. Based on the initial keyword provided by experts in the field, queries were compounded to conduct search in the search engines of WoS and DWPI. The raw data (papers or patents) extracted from the initial search were examined by expert-review before objects of analysis were determined. Then, the accumulated data was analyzed in terms of year, country and organization, which led to examination of the trend of R&D. And the research performance evaluation for dementia treatment technologies was also made in terms of country, organization and researcher based on the forward citation analysis. The international cooperation intensity was examined on the basis of analysis of network by researcher before analysis results were put together to select lead researchers. Results : According to the quantitative information analysis of 1,330 articles that were selected as analysis objects, the number of papers on natural products research for dementia treatment has increased by around 4.6 times in recent five years. This indicates that the intensive studies have been underway recently. It was found to be the US that had the highest level in research filed of herbal medicine for dementia treatment and the highest capacity of international cooperation for that purpose. On the contrary, Korea had the share of papers at 5.1%, the number of countries in cooperation research at 8, and the article quality index at 0.40, showing that the qualitative level was insufficient, compared to the quantitative outcome. In particular, Korea was found to have no intensity of international cooperation among researchers. In case of patent, the results of information analysis of 305 patents selected as analysis objects demonstrated that China had the highest share while Korea had the very low frequency of patent application quantitatively. Conclusions : In this study, the research to develop herbal medicine for dementia treatment has recently drawn much attention that has spread around the globe. Therefore, these results suggest establishing the strategy to develop technology for dementia treatment with oriental medicine in the future based on quantitative information analysis.