• Economic Analysis
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• v.25 no.1
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• pp.66-122
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• 2019

As the Korean economy grew, employment expanded steadily, with the number of economically active people increasing and the employment-to-population rate also increasing. However, the working age population started to decline in 2017, and the employment of women and young people has been sluggish. The proportion of non-salaried workers in Korea is much higher than in other OECD countries, and is also excessive, considering Korea's income levels. In addition, the proportion of non-regular workers and the proportion of workers employed at small companies are particularly high among salaried workers. In light of these characteristics of Korean employment, the urgent problems facing the employment structure can be summarized by the deepening dual structure of the labor market, the increase in youth unemployment, sluggish female employment figures, and an excessive share of self-employment. Overall, it is seen that labor market duality is the main structural factor of the employment problems in Korea. Therefore, in order to fundamentally address this employment problem, it is necessary to concentrate policy efforts on alleviating labor market duality.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.197-204
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• 2020

The purpose of this paper is to find the direction by analyzing the synchronization phenomenon and the change rate of apartment charter rate in Korea, Seoul, Busan, Daegu, Gwangju and Daejeon. For this purpose, this study used a total of 239 monthly data from January 2000 to November 2019 in Kookmin Bank housing statistics. In the correlation analysis, Korea showed the highest relationship in order of Seoul, Busan, Incheon and Daegu. Seoul showed a low figure of 0.3 without any distinctive features from other cities. On the other hand, Busan, Daejeon and Daegu showed high correlations. As a result of the regression analysis, Korea and 5 major cities were all moving in the same direction with positive(+) values. And Busan and Seoul responded significantly to Korea. In the shock response, Korea is most shocked by the change in Seoul. Daegu is relatively shocked by Busan and Daejeon. Seoul's charter rate has declined most strongly in the last three years. Therefore, it is time to be careful not to incur losses due to gap investment. If we look at the relationship between the charter rate and the sale price in future studies, we can better understand the Korean apartment market.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.71-84
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• 2013

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.

• Journal of Service Research and Studies
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• v.6 no.1
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• pp.83-95
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• 2016

We examine the information transmission between the Service Industrial Production Index and the Service Industrial Wholesale and Retail Index, based on the returns data offered by the Korea Bank. The data includes daily return data from January 2000 to September 2015. Utilizing a dynamic analytical tool-the VAR model, Granger Causality test, Impulse Response Function and Variance Decomposition have been implemented. The results of the analysis are as follows. Firstly, results of Granger Causality test suggests the existence of mutual causality the Service Industrial Production Index precede and have explanatory power the Service Industrial Wholesale and Retail Index However the results also identified a greater causality and explanatory power of the Service Industrial Wholesale and Retail Index over the Service Industrial Production Index. Secondly, the results of impulse response function suggest that the Service Industrial Production Index show immediate response to the Service Industrial Wholesale and Retail Index and are influenced by till time 5 From time 2, the impact gradually disappears. Also the Service Industrial Wholesale and Retail Index show immediate response to the Service Industrial Production Index and are influenced by till time 2.5, the impact gradually disappears. Lastly, the variance decomposition analysis shows that the changes of return of Service Industrial Production Index are dependent on those of the Service Industrial Wholesale and Retail Index. This implies that returns on the Service Industrial Production Index have a significant influence over returns on the Service Industrial Wholesale and Retail Index. It contributes to the understanding of market price formation function through analysis of detached the Service Industrial Production Index and Service Industrial Wholesale and Retail Index. Finally, our results can be used as a guide by the Korea Bank and Republic of Korea and as well as Statistics Korea.

• Journal of the Daesoon Academy of Sciences
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• v.35
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• pp.331-358
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• 2020

This paper is a study of Kim Si-seup's maniacal tendency. The properties of mania can be divided into two categories. One is mental mania wherein the mind has fallen into madness, and the other is morphological mania wherein madness is revealed in real world actions. This thesis analyzes two aspects of the madness of Kim Si-seup, who showed madness in the morphological dimension as well as madness of the mind in the Joseon Dynasty. One notion that is analyzed is 'Longing to never return', and the other is 'To live in obscurity, yet practice wonders.' Kim Si-seup was a promising talent when he was young and was a so-called "infant prodigy." However, when 'Saejo' took the throne of 'Danjong,' he left the house on the road to 'burn all the books' and became a monk as a way of disappearing from the world. Thereafter, Kim Si-seup gave up on the test to become a bureaucrat and lived in hiding while doing strange things while he falsely pretended to be "crazy." He never felt regret hearing others describe him as a strange person. He lived a life of not returning to the mundane world for a long time as he traveled through famous mountains and streams. Also, he pursued a life in 'the world outside the world' without any greed. Sometimes he expresses his own free spirit and madness through poetry with 'what he talks about' and 'wonderful words.' This life was far from a form of neutralization aesthetics achieved by pursuing a 'gentle and magnanimous' life as claimed by Confucian scholars. Kim Si-seup, sometimes referred to as 'a maniac with mental clarity,' directed his efforts at 'false maniacal behavior,' 'weird behavior,' 'life pursuing the world outside the world,' and 'life of breaking off one's relationship with the world.' This maniac-like life of Kim Si-seup was not crazy but conveyed a deep desire to criticize the absurd reality of Joseon society at the time. Regarding Kim Si-seup, Li Hwang criticizes him for wishing 'to live in obscurity yet practice wonders.' Unlike Li Hwang, Yi Yi, who wrote The Records of Kim Si-seup when commissioned to do so by Sun Jo, positively evaluated Kim Si-seup as "a Confucian who followed Buddhism." Although the contents of these evaluations of Kim Si-seup were different, both agreed that Kim Si-seup was a maniacally-oriented individual. Kim Si-seup, who was mentally maniacal and morphological maniacal, represents a unique case in the study history of the Joseon Dynasty, wherein the 'the doctrines of Zhu Zi' exerted great influence.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.416-427
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• 2018

As the loan size of real estate PF is huge, its market ripple effect gets bigger when overdue occurs. Accordingly, the management of the delinquency rate and macroeconomic analysis are required. As the preceding research mainly proceeded with microeconomic analysis through the real estate PF data of individual banks to evaluate importance of list or analyzed core factors for delinquency, it lacked research on comprehensive real estate PF size. In order to overcome the limitations of such data, this research studied real estate PF delinquency rate of the entire market and effect relationship by the size. The research utilized the size of real estate PF loans, money supply, interest rate, consumer price index(CPI), and GDP data. Also, it applied the first model of VECM as linear relationship between at least two or more variables, following the result of co-integration test. As a result of Granger-causality test, the real estate PF loans delinquency rate is influenced by their loan size, and as a result of impulse response analysis, the interest rate is shown to be affecting delinquency rate the most. Interest rate could risesomeday and aggravate the delinquency rate of real estate PF. Also, risk exposure could be serious as the loan size increases.Therefore, the management of real estate PF delinquency rate requires continuous monitoring, tracking and observing issued loans from a macro point of view. The plans to prevent delinquency will be necessary.

• Informatization Policy
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• v.22 no.4
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• pp.22-44
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• 2015

With the growing interest being reflected in the FinTech industry, much attention has been paid to mobile easy payment services as well. In the era of mobile commerce, the core advantage of using mobile easy payment services(simplifying complex payment procedures and thus facilitating user convenience and reducing the chance of giving up payment) are being more emphasized. Mobile easy payment service market not only includes mobile easy payment service providers but also users, non-users, affiliates, banks, and credit card companies as main stakeholders. Exploring those stakeholders is thus important to thoroughly understand such market. However, extant literature on mobile easy payment services mostly focuses on examining adoption intention of users or non-users. This study, an exploratory research based on interviews, thus aims to extract driving as well as inhibiting factors of mobile easy payment service use from six different perspectives (i.e., social platform, bank, credit card company, affiliate, user, and non-user) and analyze a sequence of cause and effect for each factor. For this, the causal loop diagram was developed to deduce key issues and propose an alternative. Theoretical and practical implications of this study will also be discussed.

• The Korean Journal of Financial Management
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• v.9 no.1
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• pp.223-262
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• 1992

This paper develops a theory of the demand for insurance. The present model incorporates insurance demand time value of insurance premium, and demand for listless and risky assets simultaneously within the expected utility framework. For a special case of CARA, an insurance decision can be made separately from other portfolio decisions. However, in general, the interactions of both decisions cannot be ignored even when insurable and speculative risks are stochastically independent. In particular, the role of risky investment in hedging insurable risk is demonstrated and it is shown that this role cannot be duplicated by an insurance contract. When the investment decision is made simultaneously with the insurance decision, some of the classic theory on insurance should be modified. As an example, the authors characterize the sufficient conditions, under which the Bernoulli criteria (without and with premium loadings) hold or are violated in terms of the net gain of risky investment, the net cost of insurance, and the stochastic relationship between insurable and speculative risks. The authors interpret the results using the Rothschild and Stiglitz's (1970) notion of 'increase in riskiness'.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1437-1449
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• 2023

The purpose of this study is to analyze whether pervious and impervious areas in urban areas affect tree growth. In order to determine the differences in the growth of six species of trees planted simultaneously, the effects of pervious and impervious surfaces on tree growth were analyzed using the Normalized Difference Vegetation Index (NDVI) produced using Sentinel-2 and sub-divided land cover map from the Ministry of Environment. For this purpose, the Geospatial eXplainable Artificial Intelligence(GeoXAI) concept was applied. As a result of the analysis, the explanatory power of the model was found to be the best when considering the area of land cover included in the 10m range for Pinus densiflora, the 20 m range for Zelkova Serrata, Metasequoia glyptostroboides, and Ginkgo biloba, the 30 m range for Platanus occidentalis, and the 40 m range for Yoshino cherry trees. In addition, the wider the pervious area, the more active the growth of trees,showing a positive correlation, and the wider the impervious area, such as nearby artificial ground, showed a negative correlation with tree growth. This shows that surrounding pervious and impervious areas affect the growth of trees and that the scope of influence varies depending on the tree species.

• International Commerce and Information Review
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• v.15 no.3
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• pp.453-474
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• 2013

The Internet is also fragmenting containers of goods that could have been custom cleared on a single entry into dozens of individual shipments that each require separate customs documents and clearance procedures. The policies of Korean government could promote the e-business environment and market conditions in legal and infrastructure terms, but not much of business itself. The facilitation of trade procedures is seen by all major international business as vital for economic development. The purpose of the study is to develop the e-Trade application, limitation and activation. This article intends to derive which factors are significant at information strategic planning stage as well as its evaluation stage. The study include the technical explanations under the ubiquitous computing.