• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.203-210
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• 2021

This study analyzed the financing ratio by operation fund financing method and their impact on management performance according to the establishment operation management entity of the medical institution. For the analysis method, ANOVA, logistic regression, and regression analysis were conducted using financial information registered with HASPA.The results of the study, The ratio of gross revenue to operating funds differed significantly depending on the establishment operation management entity. In addition, it was found that the financing ratio of each operation fund financing method was significantly related to the management results(deficit, surplus), and the impact of the operation fund financing method on management performance differed according to the establishment operation management entity. As a result, the management of operating funds of medical institutions is deemed appropriate to apply cost management first considering the ratio of revenue to operating funds, and then to utilize internal operating funds.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.707-712
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• 1991

In machining a part in CAD/CAM system, it is required that the drawing information should be automatically generated, modified, deleted, and thus be used as an general information throughout the entire manufacturing process. This research addresses basic entities(point, line, circle, arc) for design feature and combination of this features, based on GT concepts, with minimum user's manual input. This paper deals with the generalization of operating system which can cover the s parts which appears in mechanical part handbook and the basic constitutional part of sold base. The system developed shows a strong application impact on automatic process planning system of medium - size injection sold companies.

• Journal of KIBIM
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• v.5 no.2
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• pp.46-54
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• 2015

Vision-based tracking has been proposed as a means to efficiently track a large number of construction resources operating in a congested site. In order to obtain 3D coordinates of an object, it is necessary to employ stereo-vision theories. Detecting and tracking of multiple objects require an entity matching process that finds corresponding pairs of detected entities across the two camera views. This paper proposes an efficient way of entity matching for tracking of construction workers. The proposed method basically uses epipolar geometry which represents the relationship between the two fixed cameras. Each pixel coordinate in a camera view is projected onto the other camera view as an epipolar line. The proposed method finds the matching pair of a worker entity by comparing the proximity of the all detected entities in the other view to the epipolar line. Experimental results demonstrate its suitability for automated entity matching for 3D vision-based tracking of construction workers.

• Journal of Korean Library and Information Science Society
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• v.55 no.1
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• pp.215-237
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• 2024

This study proposes a selection plan for research entities and PIDs and a strategy for building and operating a PID consortium based on a survey of advanced cases of research entities and PID operations in major countries such as the United Kingdom, Germany, Canada, Japan, China, and Australia. The criteria for selecting research entities and PIDs are 'research life cycle' and 'PID infrastructure maturity'. Based on the two selection criteria, it is proposed to prioritize research entity-PID pairs such as 'Researcher-ORCID', 'Publication-DOI', 'Data-DOI', 'Institution-ROR', 'Grant-DOI', and 'Project-RAiD' and expand to other research entities and PIDs in the emerging stage. The strategy for establishing and operating a PID consortium should encourage the participation of various PID stakeholders, identify the latest trends through collaborative networks with domestic and international PID organizations, lead education and outreach activities to raise awareness and increase utilization of PID, and secure policy support and financial stability. This is expected to lay the foundation for domestic research entities to gain visibility and accessibility at the global level.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.65-75
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• 2019

Non-Functional Requirements (NFR) play a crucial role during the software development process. Currently, NFRs are considered more important than Functional Requirements and can determine the success of a software system. NFRs can be very complicated to understand due to their subjective manner and especially their conflicting nature. Self-adaptive systems (SAS) are operating in dynamically changing environment. Furthermore, the configuration of the SAS systems is dynamically changing according to the current systems context. This means that the configuration that manages the trade-off between NFRs in this context may not be suitable in another. This is because the NFRs satisfaction is based on a per-context basis. Therefore, one context configuration to satisfy one NFR may produce a conflict with another NFR. Furthermore, current approaches managing Non-Functional Requirements trade-off stops managing them during the system runtime which of concern. To solve this, we propose fragmentizing the NFRs and their alternative solutions in form of Multi-entity Bayesian network fragments. Consequently, when changes occur, our system creates a situation specific Bayesian network to measure the impact of the system's conditions and environmental changes on the NFRs satisfaction. Moreover, it dynamically decides which alternative solution is suitable for the current situation.

• Journal of the Korean Society for information Management
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• v.28 no.1
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• pp.89-104
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• 2011

Large-scaled information extraction plays an important role in advanced information retrieval as well as question answering and summarization. Information extraction can be defined as a process of converting unstructured documents into formalized, tabular information, which consists of named-entity recognition, terminology extraction, coreference resolution and relation extraction. Since all the elementary technologies have been studied independently so far, it is not trivial to integrate all the necessary processes of information extraction due to the diversity of their input/output formation approaches and operating environments. As a result, it is difficult to handle scientific documents to extract both named-entities and technical terms at once. In order to extract these entities automatically from scientific documents at once, we developed a framework for scientific core entity extraction which embraces all the pivotal language processors, named-entity recognizer and terminology extractor.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.181-189
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• 2012

This research focus on Community Culture Center's efficiency according to the regional and operating subject in Capital region. Recently the importance and potential market of cultural industry is growing. In addition, as a basis for local cultural industries, the importance of Community Culture Center has been highlighted. Therefore, for the activation of cultural industry, Community Culture Center on the efficiency of the operation should be reconsidered. To analyze Community Culture Center, using DEA, the efficiency of public organizations tool, which focus on operational efficiency. Depending on the results of analysis, Seoul, Incheon and Gyeonggi province was able to confirm their efficiency. In addition, according to the Direct Operating, Industrial Operating, Foundation, Private Consignment Agency their efficiency showed significant results. Looking at regional Community Cultural Centers in Seoul and Gyeonggi Province will see that two are operating efficiently. On the other hand, the Community Cultural Center in Incheon was not efficiency. Looking at the operating entity basis, Direct Operating Agencies and Industrial Operating Agencies were operating efficiently. On the other hand, Foundation Act of agencies and Private Consignment Agencies have been operating relatively inefficiently.

• Journal of Korean Society of Rural Planning
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• v.20 no.1
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• pp.63-76
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• 2014

The purpose of this study is to identify effect in how urban garden is run by different operators in Korea, and consequently how it determines the level of community formation among urban garden users. Based on this analysis, the study is intended to present some points as to how to better manage urban garden. The operators are divided into three types: public, public-private partnership and private. The study interviewed each operating entity and surveyed garden users to gauge the extent to which communities are developed. After the ANOVA analysis and Scheffe post-hoc analysis, it was found that the levels of community formation among users of public and public-private partnership urban gardens were similar (so can be grouped together), whereas that of private urban garden users was higher (separated as another group). However, this study found no meaningful differences in the level of community formation among all types of urban garden in a local community. Some key suggestions are made as a result. First, as for the public and public-private partnership types of urban garden, it is necessary to foster leaders to build a community. Next, it is worth noting the potential of public-private partnership in realizing community revival through urban garden. The last suggestion is that, generally, the urban garden has only little influence on community formation in a local area so far, thus more practical consideration needs to be given to enhance the role of urban garden in a local community.

• Journal of Korean Society of Rural Planning
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• v.29 no.3
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• pp.53-67
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• 2023

In this study, the problem of the idleness of public buildings in rural areas is seriously emerging, but there are no clear standards for assessing the utilization of these buildings. Therefore, this study endeavors to investigate the actual state of idleness of buildings created by rural area development projects based on the criteria for each type. As part of this study, rural facilities were selected in two locations in Sangju City and Miryang City among the target areas of the Rural Agreement. Utilization evaluation criteria were developed to identify the conditions of underutilization. In order to determine the utilization pattern for each facility type, an in-depth interview with the operator and an inspection of the facility were conducted. Based on the analysis, the degree of utilization (e.g., low use, non-use, etc.) was different for each facility type, and among the four facility types (rural tourism, culture and welfare, exercise and recreation, income-based), rural tourism was rated as the least efficient. It has been found that the operating entity's capacity has a significant influence on the utilization of facilities. Socioeconomic factors, such as a decrease in utilization rates, are greatly influenced by the operating entity's capacity. Therefore, support from local governments as well as the national level is required to recycle idle facilities. Lastly, this study suggests the need for different standards for utilization, depending on the type of facility. This moves beyond checking the degree of idleness by the same standard that was previously implemented.

• Journal of Communications and Networks
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• v.18 no.4
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• pp.540-550
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• 2016

Since energy efficiency has become a significant concern for network infrastructure, next-generation network devices are expected to have embedded advanced power management capabilities. However, how to effectively exploit the green capabilities is still a big challenge, especially given the high heterogeneity of devices and their internal architectures. In this paper, we introduce a hierarchical power management architecture (HPMA) which represents physical components whose power can be monitored and controlled at various levels of a device as entities. We use energy aware state (EAS) as the power management setting mode of each device entity. The power policy controller is capable of getting information on how many EASes of the entity are manageable inside a device, and setting a certain EAS configuration for the entity. We propose the optimal local control policy which aims to minimize the router power consumption while meeting the performance constraints. A first-order Markov chain is used to model the statistical features of the network traffic load. The dynamic EAS configuration problem is formulated as a Markov decision process and solved using a dynamic programming algorithm. In addition, we demonstrate a reference implementation of the HPMA and EAS concept in a NetFPGA frequency scaled router which has the ability of toggling among five operating frequency options and/or turning off unused Ethernet ports.