• The Journal of Economics, Marketing and Management
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• v.12 no.2
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• pp.51-60
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• 2024

Purpose: The purpose of this study was to analyze the factors influencing the housing satisfaction of the new middle-aged who returned to farming to derive the implications of real estate policies to resolve regional imbalances. Research design, data and methodology: As a result, this study used secondary data, housing survey data, and identified factors influencing housing satisfaction through multiple regression analysis as well as basic analysis such as exploratory factor analysis, reliability analysis, technical statistics analysis, and correlation analysis. Previous studies, in particular, mainly focused on aging, retirement, economic activity, and retirement preparation, but this study was able to derive predictive factors that can increase the persistence of living after returning to farming by analyzing housing satisfaction for the new middle-aged, and as a result, suggest implications for resolving regional imbalances. Results: As a result of the analysis, it was found that housing structure status had the greatest influence among the three factors of housing-related predictors: housing structure status, facility accessibility, and surrounding environment, suggesting that policy alternatives that can improve the quality of the housing structure itself should be prepared rather than facility accessibility and the surrounding environment. Conclusions: Based on these results, we discussed implications for improving the housing structure to increase the continuity of living for the new middle-aged after returning to farming, and presented follow-up research directions on the need for complementary research in addition to individual analysis of influencing factors, limitations of secondary data, and the lighting of research on the new middle-aged and other generations who did not return to farming.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.27-40
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• 2019

The study examines the effects of growth opportunities, debt maturity and liquidity risk on leverage, making use of a large panel of Chinese listed firms. Research on capital structure has broadened its scope from a single capital structure decision (the debt/equity choice) to various attributes of the debt in firms' capital structure. We use the system Generalized Method of Moments estimator to control for unobserved heterogeneity and the potential endogeneity of regressors. We find a negative relationship between growth opportunities and leverage. Further, we find that while the proportion of short-term debt attenuates the negative effect of growth opportunities on leverage, it negatively affects leverage as predicted by the liquidity risk hypothesis. When we distinguish between state owned firms and private controlled firms, we find evidence that these effects are only relevant to private controlled firms. However, our analysis indicates that the economic implication of liquidity risk effect is much lower for Chinese firms than that observed in the literature for US firms. Our study suggests that these differences can be explained by differences in the institutional environment in which firms operate. This finding related to Diamond's (1991) liquidity risk hypothesis extends our understanding of the relationship between liquidity risk and the debt maturity choice.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.4
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• pp.110-119
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• 2005

This study develops three dimensions of a supply chain structure (i.e., supply network, conversion network, distribution network) and proposes a balanced scorecard (BSC) model in order to measure management performance. We may conclude that management performance depends on the supply chain structure, and performance of distribution network is better than that of supply and conversion networks based on the result of Scheff multi-comparison.

• Journal of Korea Multimedia Society
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• v.4 no.2
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• pp.145-160
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• 2001

With the rapid of computer applications and digital communication networks, group based applications on the open network have been common tendency. The multicast infrastructure has played an important researching part in this application area. However the conventional solutions to achieve the secure and efficient structure don't satisfy all requirements. In this study, we classified and analyzed several existing multicast key management structure on the safety, the efficiency and the strengthen. Based on the analysis, we developed a new secure and efficient multicast key management structure. By comparing various aspects, that the number of communication and computation, of the new and the conventional methods, we were able to demonstrate the effectiveness of the proposed method.

• Journal of Intelligence and Information Systems
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• v.5 no.1
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• pp.13-34
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• 1999

Building a knowledge base effectively has been an important research area in the expert systems field. A variety of approaches have been studied including rules, semantic networks, and frames to represent the knowledge base for expert systems. As the size and complexity of the knowledge base get larger and more complicated, the integration of knowledge based with database technology cecomes more important to process the large amount of data. However, relational database management systems show many limitations in handing the complicated human knowledge due to its simple two dimensional table structure. In this paper, we propose Object-Oriented Knowledge Store (OOKS), a knowledge base model on the basis of a frame sturcture using an object-oriented database. In the proposed model, managing rules for inferencing and facts about objects in one uniform structure, knowledge and data can be tightly coupled and the performance of reasoning can be improved. For building a knowledge base, a knowledge script file representing rules and facts is used and the script file is transferred into a frame structure in database systems. Specifically, designing a frame structure in the database model as it is, it can facilitate management and utilization of knowledge in expert systems. To test the appropriateness of the proposed knowledge base model, a prototype system has been developed using a commercial ODBMS called ObjectStore and C++ programming language.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.9
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• pp.1199-1208
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• 2013

In recent years, the development of application programs for distribution system analysis and control has been essential part for distribution management system (DMS). In this paper, we propose the common database for application programs of distribution management system. The proposed database model has several characteristics as followings. First, the proposed database model is designed for the common use of almost the whole distribution application software. The static equipment model and dynamic type tables are mixed and the parallel table structure is applied. Second, the linked list structure of database are used for the fast processing of applications. The database model includes the hierarchy and non-hierarchy distribution system structure. Third, the reduction method of distribution database is applied. For this, we present the network reduction rules. The basic concept of reduction rules are the electrical unification of successive line section which has not lateral branches and the removal of simple lateral branches which has no devices and other laterals. Proposed database model is tested for the Jeju system of Korea Electric Power Corporation (KEPCO). Through the test, we verified that the proposed database structure can be effectively used to accomplish the distribution system operation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.15 no.1
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• pp.91-96
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• 1997

In order to ensure the safety of a structure, it is essential to put in practice all sorts of measurement from the plan and execution to the management by stages. These measurements make it possible to verify a propriety of a plan and forecast an accident or a collapse caused by long lapse of time, making use of accumulated data. Close-Range Photogrammetry is a method to meet improvement and development of surveting technique. which offered data for maintenance and management of a structure. Dus to applying this way. reliance on measuring a variation of structure. Besides, data of variation will be utilized for maintenance and management of a structure.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.13 no.2
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• pp.219-228
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• 1995

The facilities of electric power plant which were constructed in and after the 1960's are superannuated in these days. We are expanding them applying an incressary to secure a safe plan for them. In this study, for a feasibility of management plan in electric power structure, a RC test prame was manufactured for monitoring and calculation of variation using close range photogrammetry. On the basis of this data, monitoring and calculating of variation in soil wall building site were carried out. Also a survey and analysis of a influence which occured to a structure near by exactitude site. All of these afford data for a management plan in electric power structure.

• Journal of Korean Institute of Industrial Engineers
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• v.36 no.3
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• pp.203-211
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• 2010

This study examines a cointegrated vector autoregressive (VAR) model where parameters are subject to switch across the regimes in the term structure of interest rates. To employ the regime switching framework, the Markov-switching vector error correction model (MS-VECM) is allowed to the regime shifts in the vector of intercept terms, the variance-covariance terms, the error correction terms, and the autoregressive coefficient parts. The corresponding approaches are illustrated using the term structure of interest rates in the US Treasury bonds over the period of 1958 to 2009. Throughout the modeling procedure, we find that the MS-VECM can form a statistically adequate representation of the term structure of interest rate in the US Treasury bonds. Moreover, the regime switching effects are analyzed in connection with the historical government monetary policy and with the recent global financial crisis. Finally, the results from the comparisons both in information criteria and in forecasting exercises with and without the regime switching lead us to conclude that the models in the presence of regime dependence are superior to the linear VECM model.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.54 no.4
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• pp.445-455
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• 2021

We aimed to study the structure of the zooplankton community in the Southern Sea of the Republic of Korea. Zooplankton samples were collected in February (winter), May (spring), August (summer), and November (autumn) of 2020. The zooplankton collected belonged to a total of 166 taxa and 12 phyla, including some unidentified individuals and those from upper taxa. The number of taxa collected were the highest in winter at 117, and the lowest in May at 93. The dominant taxa were Oikopleura spp. in the winter, Gastropoda larvae in the spring, and Paracalanus parvus s.l. in the summer and autumn. The community structure of the zooplankton was clearly distinguishable between the seasons. The mean density of zooplankton was the highest in autumn and the lowest in summer (576,039 and 313,000 individuals/1,000 m³, respectively). Based on the analysis of relationships between the density of the six major taxa and environmental factors, a significant correlation (P<0.05) between the four taxa and environmental factors was found. Therefore, in order to understand changes in the zooplankton community, quantitative and qualitative investigations of biological factors as well as physical factors should be conducted.