• Health Policy and Management
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• v.18 no.2
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• pp.67-85
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• 2008

This study evaluated the specialization status of Korean hospitals by applying index measures that were developed to determine how hospitals are specialized. In addition, multivariate regression analysis was applied to assess how the measures responded to the internal and external factors of hospitals. National Health Insurance claims for 2004 were used to calculate the information theory index, internal Herfindahl index, number of distinct diagnosis-related groups (DRGs) treated, and percent of the five most common DRGs. Data from the Ministry of Health and Welfare and Korean Hospital Association were used to determine the size, ownership, teaching status, organization type, and location of the hospitals. The four indexes analyzed showed that there were significant differences in the specialization status of providers, depending on the provider size, organization type, and location. Hospitals that were smaller and located in metropolitan areas tended to provide specialized services; this is considered to constitute a competitive strategy for hospitals. It is expected that specialized hospitals will increase given the current market structure. Therefore, policy makers will need an index for measuring how hospital services are specialized. Information from such an index could provide a picture of how hospital services are mixed and change over time.

• International Journal of Control, Automation, and Systems
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• v.2 no.4
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• pp.450-462
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• 2004

In this paper, we describe a system for controlling the perceptual processes of two cooperative mobile robots that addresses the issue of enhancing perceptual awareness. We define awareness here as knowing the location of other robots in the environment. The proposed system benefits from a formalism called perceptual anchoring. Here, perceptual anchoring enhances the awareness of the system by employing an anchor-based active gaze control strategy or active perceptual anchoring to control the perceptual effort according to what is important at a given time. By anchoring we extend the notion of awareness as knowing what the symbols in the control module represent to by connecting them to the objects or features in the environment. We demonstrate the present system through a simulation of two nonholonomic mobile robots performing a cooperative transportation by carrying a cargo to a target location where there are two other robots moving about. The system is able to efficiently focus the perceptual effort and thus able to safely carry the cargo to the target position.

• Journal of the Korea Safety Management & Science
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• v.9 no.5
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• pp.103-110
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• 2007

To build a most efficient and competitive warehouse, need to reflect tenants various opinions in advance such as location, rentable size, leasing terms, rental, configuration of the building, building structure, traffic flow and amenities. Thus a survey for major tenants which are logistics, retailers and manufactures should be done to figure out potential demand and marketing strategy to lead to be a competitive warehouse. However above survey is time consuming work and requires high cost involvement thus to avoid such an inefficient process and to facilitate investors prompt and right decision making, there should be a tool which helps to make a decision process easier with simple key factors. In other word, we have used above mentioned 'Demand Approach' so far but here I am introducing 'Factors Comparison' which reflects location factors and facility factors. I derived Kwang-myung logistics park's proper rental rate through 'Demand Approach' which analyzed Seoul Metropolitan area's rental warehouse status and rents, and also defined a size of potential demand area and rental. And this report compared the result with an outcome of 'Factors Comparison' then compared each methods and drew a conclusion of 'Factors Comparion's better convenience and efficiency.

• Journal of East-West Nursing Research
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• v.19 no.2
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• pp.96-103
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• 2013

Purpose: The purpose of this study was to identify the factors influencing hospital staffs' performance ability of Cardiopulmonary resuscitation (CPR). Methods: The study was conducted with 250 hospital staffs in B hospital located in Busan. The survey data were collected from August 1 to September 15, 2012 and were analyzed using frequencies, percentages, means, t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression with the SPSS WIN 19.0 program. Results: There were statistically significant differences in performance ability of CPR depending on occupations, CPR experience, CPR situations, identification of Automated external defibrillator (AED) location within the hospital, AED use experience, CPR training experience and AED training experience. A significant positive correlation was found between CPR knowledge and performance ability in addition to a significant positive correlation between CPR attitude and to performance ability. The significant factors influencing performance ability of CPR were CPR attitude, occupations, CPR training experience, knowledge and identification of AED location within the hospital. Those factors explained about 40.1% of the variance. Conclusion: It is necessary to develop a strategy for hospital staff to improve the levels of performance ability of CPR.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.375-388
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• 2008

The early studies on the cultural industries had mainly emphasized the viewpoint of "efficiency" based on the "flexible specialization" theory, but they have gradually shed light on the viewpoint of "creativity": creative human resources and various networks generating creative energies. Despite the importance of these studies, it is impossible to explain every cultural industrial agglomeration phenomena from specific and few viewpoints due to the diversity of each cultural industry. This study describes the dissimilarity of agglomeration factors between the Japanese animation and home video game industries which form salient agglomeration in the same region. Both industries share similar characteristics with industrial agglomeration of SMEs in Tokyo and close inter-firm relationships. However, they differ in their historical development paths and each firm's behavior and strategy because of their own distribution systems and production processes. In particular, the difference in distribution systems clearly affects whether a company values "efficiency" factors of agglomeration advantage or "creativity" factors of that in case of locational choice. The distribution sector of the cultural industry, compared with the production sector, has a tendency to value profitability rather than creation itself. Therefore, a cultural industry with the strong distribution sector tends to form the industrial system emphasizing profitability. The Japanese animation firm is apt to choose its location from the perspective of efficiency, which easily contributes to profitability, because television broadcasting stations are strong distribution sector. Conversely, the Japanese game firm chooses its location from the perspective of creativity due to the absence of strong distribution sector.

• Journal of Information Technology Applications and Management
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• v.18 no.1
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• pp.125-141
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• 2011

As the sales volume of online shops increases, the job burden in the back-offices of the online shops also increases. Order picking is the most labor-intensive operation among the jobs in a back-office and mid-size pure click online shops are experiencing the time delay and complexity in order picking nowadays while fulfilling their customers' orders. Those warehouses of the mid-size shops are based on manual systems, and as order pickings are repeated, the warehouses get a mess and lots of products in those warehouses are getting missing, which results in severe delay in order picking. To overcome this kind of problem in online clothing shops, we research a methodology to locate warehousing products. When products arrive at a warehouse, they are packed into a box and located on a rack in the warehouse. At this point, the operator should determine the box to be put in and the location on the rack for the box to be put on. This problem could be formulated as an Integer Programming model, but the branch-and bound algorithm to solve the IP model requires enormous computation, and sometimes it is even impossible to get a solution in a proper time. So, we relaxed the problem, developed a set of heuristics as a methodology to get a semi-optimum in an acceptable time, and proved by an experiment that the solutions by our methodology are satisfactory and acceptable by field managers.

• International Journal of Automotive Technology
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• v.7 no.3
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• pp.361-367
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• 2006

This paper describes a novel stereo vision based localization of free parking site, which recognizes the target position of automatic parking system. Pixel structure classification and feature based stereo matching extract the 3D information of parking site in real time. The pixel structure represents intensity configuration around a pixel and the feature based stereo matching uses step-by-step investigation strategy to reduce computational load. This paper considers only parking site divided by marking, which is generally drawn according to relevant standards. Parking site marking is separated by plane surface constraint and is transformed into bird's eye view, on which template matching is performed to determine the location of parking site. Obstacle depth map, which is generated from the disparity of adjacent vehicles, can be used as the guideline of template matching by limiting search range and orientation. Proposed method using both the obstacle depth map and the bird's eye view of parking site marking increases operation speed and robustness to visual noise by effectively limiting search range.

• Korean Journal of Remote Sensing
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• v.16 no.1
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• pp.99-108
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• 2000

The purpose of this paper is to combine digital elevation models (DEM) using SPOT satellite stereo images. After DEM extraction, a grid of longitude and latitude is generated using the results of DEM extraction. Heights at each grid location are determined from the obtained DEMs by using triangular image warping interpolation that uses the heights of the three nearest neighbors. The final heights at each grid location can then be determined by using the maximum likelihood as a fusion strategy. The input images used in this paper are two pairs of SPOT stereo images and experiments show that heights of DEM are successfully fused

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.147-158
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• 2021

Due to COVID-19, the risk of price volatility in commodity and equity markets increases. The research and application of hedging is the most effective way to reduce the market risk. Hedging is a risk management strategy employed to offset losses in investments by taking an opposite position in a related asset. We use K-means and hierarchical clustering methods to cluster companies and futures products respectively, and analyze the relationship between the number of hedging firms, regional distribution, nature of firms, capital distribution, company size, profitability, number of local Futures Commission Merchants (FCMs), regional location, and listing time. The study shows that listed companies with large scale and good profitability invest more money in hedging, while state-owned enterprises' participation in hedging is more likely to be affected by the company size and the number of local futures commission merchants, and private enterprises are more likely to be affected by the company profitability and the regional location. Listed companies are more willing to choose long-listed and mature futures products for hedging. We also provide policy advice based on our conclusion. So far, there is no study on the characteristics of hedging. This paper fills the gap. The results provide a basis and guidance for people's investment and risk management. Using clustering analysis in hedging study is another innovation of this paper.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.12-14
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• 2021

A sensor registry system (SRS) provides semantic metadata about a sensor based on location information of a mobile device in order to solve a problem of interoperability between a sensor and a device. However, if the GPS of the mobile device is incorrectly received, the SRS receives incorrect sensor information and has a problem in that it cannot connect with the sensor. This paper proposes a dual collaboration strategy based on geographical embedding and LSTM-based path prediction to improve the probability of successful requests between mobile devices and sensors to address this problem and evaluate with the Monte Carlo approach. Through experiments, it was shown that the proposed method can compensate for location abnormalities and is an effective multicasting mechanism.