• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.417-425
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• 2020

In this paper, value relevance of the level of dependence on separate accounts in non-life-insurance companies is studied. As noted by Shim et al. (2015), the separate accounts of insurance companies consist of contracts with different attributes from the general accounts, so it is likely that firm value will vary depending on the insurer's dependence on the separate accounts. Thus, in this paper, an empirical analysis has been conducted using quarterly financial data and stock price data from domestic listed non-life-insurance companies from 2011 to 2018. The analysis shows that variables representing the level of dependence on separate accounts have a significant negative relevance to firm value. These results may suggest that changes in the proportion of a non-life-insurer's separate accounts may result in a change to its firm value under the same net assets and net income scales in aggregate accounts. This study provides management implications for the operation of separate accounts from the perspective of maximizing firm value. In addition, this study suggests that disclosure system improvement would be necessary to more directly report the operational performance of the separate accounts.

• The Korean Journal of Health Service Management
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• v.10 no.3
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• pp.1-12
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• 2016

Objectives : This study examined relations between investment efficiency and management performance as indexes related to productivity of Korean regional public hospitals. Methods : The analysis data are financial information of Korean regional public hospitals from 2011 to 2014. For the indicators, value added to total assets, value added to productive activity tangible fixed assets, and value added to personnel expenses, operating margin to revenues, net profit to total earnings, and ratio of value added. Results : Significant relevance was not shown among indicators of investment efficiency. However, Significant relevance was shown between value added to personnel expense and productivity per value added. Conclusions : It confirmed that outside support funds like subsidy did not have effect on improving the management performance. Also, it could be known that availability about input of capital and labor was not realized organically.

• Journal of the Korean housing association
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• v.3 no.2
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• pp.13-19
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• 1992

The purpose of this study is to grasp spatial effects of colours in interior design. The visual feeling in the 1/10 living room scale models that are different in the colour combination of ceilings, walls and floors is judged using a semantic scale of the fifteen adjectives. The major findings are as follows; 1) As a result of factor analysis, three dimensions, "evaluation", "activity" and "warmness" are extracted. Dimension 1, "evaluation", is most greatly affected by the chroma and hue of the room colour, dimension 2, "activity", by the hue and value, by the difference in hue and value of ceilings, walls and floors, dimensions 3, "warmness", by mainly the hue of the rooms. 2) Concerning the spatial effects of colour, the subjects felt higher vlaue with relevance to the hue of GY, Y, low chroma and high value. The room colours other than walls is felt more comfortable in similar colour, especially hue and value.re comfortable in similar colour, especially hue and value.

• International Journal of Contents
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• v.8 no.1
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• pp.100-107
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• 2012

While considerable research suggests that users' uncertainty gradually decreases, as they proceed through the information seeking process, others argue that it can arise at any stage of their information seeking process. Reflecting the latter view, this study examined user perceptions of uncertainty in the final stage of users' information seeking process, the stage of search results evaluation. Considering the significance of Web search engines for academic study, this study investigated the relevance decision stage of scholarly researchers in the field of science, who use Web search engines for their academic study. Based on the analysis of the users' uncertainty, this study provided implications to improve information systems and Web contents design.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.3
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• pp.157-162
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• 2016

In this paper, a yield prediction model based on relevance vector machine (RVM) and a granular computing model (quotient space theory) is presented. With a granular computing model, massive and complex meteorological data can be analyzed at different layers of different grain sizes, and new meteorological feature data sets can be formed in this way. In order to forecast the crop yield, a grey model is introduced to label the training sample data sets, which also can be used for computing the tendency yield. An RVM algorithm is introduced as the classification model for meteorological data mining. Experiments on data sets from the real world using this model show an advantage in terms of yield prediction compared with other models.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.392-400
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• 2015

Monitoring of plasma etch processes for fault detection is one of the hallmark procedures in semiconductor manufacturing. Optical emission spectroscopy (OES) has been considered as a gold standard for modeling plasma etching processes for on-line diagnosis and monitoring. However, statistical quantitative methods for processing the OES data are still lacking. There is an urgent need for a statistical quantitative method to deal with high-dimensional OES data for improving the quality of etched wafers. Therefore, we propose a robust relevance vector machine (RRVM) for regression with statistical quantitative features for modeling etch rate and uniformity in plasma etch processes by using OES data. For effectively dealing with the OES data complexity, we identify seven statistical features for extraction from raw OES data by reducing the data dimensionality. The experimental results demonstrate that the proposed approach is more suitable for high-accuracy monitoring of plasma etch responses obtained from OES.

• SUVANNABHUMI
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• v.7 no.1
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• pp.89-103
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• 2015

Over the last decade, the field of Southeast Asian Studies has been inundated with issues of its "territory" (or the definition of what comprises Southeast Asia), relevance and future. The methodology of approaching Southeast Asian Studies has also come under constant scrutiny providing much fodder for debate. One significant suggestion was that the field of Southeast Asian Studies should "break out of the comfort zone" (Van Schendel, Bijdragen, 2012:168(4)). This paper will explore some of the ways of approaching Southeast Asian Studies beyond that comfort zone by examining other/alternative units of studying Southeast Asia in place of the traditional (or statist) perspectives that tend to confine the field within the scope of the national/nation-state boundaries. The paper will also provide some personal observations of the author on the current state and limitations to teaching and researching Southeast Asian Studies in the region.

• Journal of Korean Library and Information Science Society
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• v.42 no.1
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• pp.325-338
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• 2011

This study aims to investigate characteristics of most clicked documents of Naver's universal search service. In particular, this study analyzed characteristics of most clicked documents such as click ratio, collection distribution, and yearly distribution. Also, clicked documents were evaluated in terms of relevance, credibility, and currency. In conducting this study, query logs and click logs of unified search service were analyzed. The results of this study show that most clicks occurred in blog collection and average click concentration rate reached almost 50%. Also, the relevance and currency of most clicked documents were quite high, but credibility of these documents were on average level. The results of this study can be implemented to the portal's effective development of searching algorithm and interface.

• Journal of Korean Elementary Science Education
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• v.34 no.1
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• pp.72-85
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• 2015

Conception in learner's cognitive structure has a niche as species in ecosystems. The purpose of this study is to analyze the change of niche overlap of photosynthesis concept through instruction. The photosynthesis concepts were selected from literature review. Selected concepts were in 4 areas: Location of photosynthesis, reactants, products, and environmental factors. The subjects consisted 304 elementary students. The respondent marked the relevance between the presented concepts and each area on a scale of 1~30 points. The analysis of niche overlap in concepts was performed by changing in niche overlap graph, niche space size, and overlap index before and after instruction. The results are as follows. First, on the whole understanding level and relevance of the scientific concepts was increased through instruction as a result of learning. Second, elementary school students cognitive concepts in the form of chunking concepts through classification process. Based on the results, this study has the following suggestion. Students' conceptual ecologies and niche analyzed by this study will be used as material for development of instruction strategy.

• Journal of Power Electronics
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• v.16 no.3
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• pp.1097-1109
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• 2016

Fault detection and isolation are related to system monitoring, identifying when a fault has occurred, and determining the type of fault and its location. Fault detection is utilized to determine whether a problem has occurred within a certain channel or area of operation. Fault detection and diagnosis have become increasingly important for many technical processes in the development of safe and efficient advanced systems for supervision. This paper presents an integrated technique for fault diagnosis and classification for open- and short-circuit faults in three-phase inverter circuits. Discrete wavelet transform and principal component analysis are utilized to detect the discontinuity in currents caused by a fault. The features of fault diagnosis are then extracted. A fault dictionary is used to acquire details about transistor faults and the corresponding fault identification. Fault classification is performed with a fuzzy logic system and relevance vector machine (RVM). The proposed model is incorporated with a set of optimization techniques, namely, evolutionary particle swarm optimization (EPSO) and cuckoo search optimization (CSO), to improve fault detection. The combination of optimization techniques with classification techniques is analyzed. Experimental results confirm that the combination of CSO with RVM yields better results than the combinations of CSO with fuzzy logic system, EPSO with RVM, and EPSO with fuzzy logic system.