• Journal of the Korean Society for Library and Information Science
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• v.54 no.3
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• pp.285-314
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• 2020

The healthcare environment is becoming increasingly dependent on health information technology (HIT), with healthcare providers, patients, and other people engaged in the field producing and sharing information to improve healthcare delivery. This focus has raised the issue of Health Information Infrastructure (HII) to the forefront of policy, design, and law. While several studies have examined each element of HII, little attention has been paid to the overall infrastructure as a collection of technologies, institutions, standards, and practices. In order to fill the gap, this study focuses on medication reconciliation as an example of the wider phenomenon of HII. In particular, the study examines a medication reconciliation process (MRP) as an example to understand the key challenges facing the development of HII, how the challenges are interrelated, and how they can be met as a whole. Following a mixed methodology, involving workflow study, focus group discussions, and in-depth interviews, the study examines "data friction" along technical, institutional, regulatory, and legal dimensions. This study constitutes one of the first efforts to comprehensively investigate health information infrastructure and how technology and other dimensions in infrastructure are interrelated. The study therefore contributes to a better understanding of HII and the practical challenges that hinder the seamless flow of information in the healthcare environment.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.36-39
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• 1996

In chemical processes, measurement errors reduce the credibility of information and cause inconsistency in material and energy balances. Because multicomposition flows and temperature measurements make material and energy balances nonlinear equations, data reconciliation becomes a nonlinear constrained optimization problem. In multicomposition processes, if we follow general optimization procedure, the number of measurement variables is so large that data reconciliation requires much computation time. We propose the decomposition procedure to reduce the computation time without the decrease of accuracy of data reconciliation. Decomposition procedure finds global variables, that can reduce the nonlinearity of constraints, and divides two sub-optimization problems. Once we optimize the global variables at upper level, we can easily optimize the remain variables at tower level, We can obtain the short computational time and the same accuracy as SQP optimization method.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.3
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• pp.306-311
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• 2013

The Real-Time-Pricing (RTP) brings greatest values in terms of economic incentives and efficiency among the dynamic pricing schemes. The electric power industry in Korea is mainly operated by publicly owned utilities and strongly regulated by the government; therefore, revenue reconciliation of RTP is inevitably required to prevent revenue deficits. In this paper, a revenue reconciliation of real-time pricing considering imperfect information on customer response is proposed to prevent revenue deficit and distortion of the spot price. A case study is present to verify the applicability of the proposed method.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 1997.10a
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• pp.17-23
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• 1997

A methodology for on-line data reconciliation and optimization has been proposed to minimize the energy cost of a utility system. As industrial data tend to be corrupted by noise or gross error, fast and robust data reconciliation technique is essential for the on-line optimization of utility system. Thus, we propose the hierarchical decomposition approach that can be applicable to on-line data reconciliation and optimization. As this approach divides whole system into several subsystems and removes the nonlinearity of constraint systematically, it handles complexity of system easily and shows good performance in accuracy and computation speed. Through case studies, we prove that this methodology is a good candidate for on-line data reconciliation and optimization.

• Journal of the Korean Institute of Gas
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• v.14 no.6
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• pp.21-26
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• 2010

Especially in Korea, LNG terminals commonly have huge scale because of the high demand of natural gas, and for the safe operation of terminal wide observation on temperature is necessary. That is the reason why the terminal has thermometer all over the facility but another information, flow rate, is insufficient. By the way, in pipeline, temperature difference is highly related with flow rate and with some simple assumptions, we can estimate flow rate. And through the steady state data reconciliation, the flow rate data become more reliable. In this research, we will study about flow rate data reconciliation method for LNG terminal and case study.

• The KIPS Transactions:PartA
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• v.11A no.6
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• pp.459-468
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• 2004

Sharing XML trees on mobile devices has become more and more popular. Optimistic replication of XML trees for mobile devices raises the need for reconciliation of concurrently modified data. Especially for reconciling the modified tree structures, we have to compare trees by node mapping which takes O($n^2$) time. Also, using semantic based conflict resolving policy is often discussed in the literature. In this research, we focused on an efficient reconciliation method for mobile environments, using edit scripts of XML data sent from each device. To get a simple model for mobile devices, we use the XML list data sharing model, which allows inserting/deleting subtrees only for the repetitive parts of the tree, based on the document type. Also, we use keys for repetitive part subtrees, keys are unique between nodes with a same parent. This model not only guarantees that the edit action always results a valid tree but also allows a linear time reconciliation algorithm due to key based list reconciliation. The algorithm proposed in this paper takes linear time to the length of edit scripts, if we can assume that there is no insertion key conflict. Since the previous methods take a linear time to the size of the tree, the proposed method is expected to provide a more efficient reconciliation model in the mobile environment.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.283-291
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• 2017

This Study analyzes the predictability of accounting information from mandatory K-IFRS adoption using the K-IFRS reconciliations information. We use the sample of 2,557 firm-year Korea listed companies belonging to non-financial corporate sector during 2010-2016. Specifically, we examine whether K-IFS reconciliation would improve or reduce the predicting power for future earnings after K-IFRS adoption. The results of empirical analyses show that reconciliation information from discretionary judgement tend to reduce the predicting power of K-IFRS based accounting earnings for future earnings. This result indicates that managers are likely to use the adjustments process to reconcile K-GAAP accounting numbers with corresponding K-IFRS as means to realize the various private utility. This study is expected to provide useful information by suggesting the need for more rigid screening schemes for the K-IFRS reconciliation process and also for adequate measures to be taken to ensure that the interests of the outside investors are properly protected.

• Nuclear Engineering and Technology
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• v.55 no.4
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• pp.1528-1539
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• 2023

Since the leakage of sodium in an SFR (sodium-cooled fast reactor) causes an explosion upon reaction with air and water, sodium leakages represent an important safety issue. In this study, a novel technique for improving the reliability of sodium leakage detection applying DDVR (dynamic data validation and reconciliation) is proposed and verified to resolve this technical issue. DDVR is an approach that aims to improve the accuracy of a target system in a dynamic state by minimizing random errors, such as from the uncertainty of instruments and the surrounding environment, and by eliminating gross errors, such as instrument failure, miscalibration, or aging, using the spatial redundancy of measurements in a physical model and the reliability information of the instruments. DDVR also makes it possible to estimate the state of unmeasured points. To validate this approach for supporting sodium leakage detection, this study applies experimental data from a sodium leakage detection experiment performed by the Korea Atomic Energy Research Institute. The validation results show that the reliability of sodium leakage detection is improved by cooperation between DDVR and hardware measurements. Based on these findings, technology integrating software and hardware approaches is suggested to improve the reliability of sodium leakage detection by presenting the expected true state of the system.

• Management & Information Systems Review
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• v.34 no.3
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• pp.179-196
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• 2015

The purpose of this study is to examine the influence of variable cash compensation depending on short-term performances instead of stock compensation for the executives on the investment in tangible assets, investment and R&D, and profit reconciliation. The detailed objectives of the study include, first, to examine the influence of the cash compensation on investment in tangible assets and profit reconciliation depending on the characteristics of the company and, second, to examine the influence of cash compensation on the profit reconciliation of the investment in R&D depending on the characteristics of the company. The results of the analysis in this study can be summarized as follows; Firstly, the result of the positive analysis, as the compensation for the executives increased, by the characteristics of the companies conducted on the significant 'positive' (+) on the investment in R&D and the profits reconciliation showed that the high tech industry and the share ratio of the executives did not show a significant result, while the debt ratio showed a significantly positive result. Secondly, the result of the positive analysis, as the compensation for the executives increased, by the characteristics of the companieson the significant 'positive' (+) of the investment in tangible assets and reconciliation of profits showed that the high-tech industry did not show a significant result, while the hypothesis on the share ratio of the executives and the hypothesis on the debt ratio showed results that are significantly positive as expected. In other words, it can help Korean companies, which have to investment in R&D and tangible assets to increase their competitiveness and promote future growth dynamics, to design a manager compensation system that is appropriate for our country to support efficient investment decision-making.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.207-219
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• 2006

The purpose of this study is to provide to alternatives to improve the relationship of local community resident of the rural-urban consolidation districts in analyzing the case of Jeollanamdo Suncheon city that has consolidated for around 10 years since 1th January 1995. The method of this study is to survey 335 number of Suncheon residents. The evaluation criteria about relationship of local community resident. used in this study were the unity of residents, the reconciliation of residents, and the satisfying degree of public administrative services. According to this survey. aspect of reconciliation of residents, access of administrative organ, unity of residents. satisfying degree of residents and administrative information are showed a little the positive effect. But locational preference of disgust facilities are appeared ordinary and negative sight.