• Journal of Information Technology Services
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• v.22 no.3
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• pp.29-47
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• 2023

With the recent advancement of information and communication technologies such as artificial intelligence, big data, cloud computing, and 5G, data is being produced and digitized in unprecedented amounts. As a result, data has emerged as a critical resource for the future economy, and overseas countries have been revising laws for data protection and utilization. In Korea, the 'Data 3 Act' was revised in 2020 to introduce institutional measures that classify personal information, pseudonymized information, and anonymous information for research, statistics, and preservation of public records. Among them, it is expected to increase the added value of data by combining pseudonymized personal information, and to this end, "the Expert Data Combination Agency" and "the Expert Data Agency" (hereinafter referred to as the Expert Data Processing Agency) system were introduced. In comparison to these domestic systems, we would like to analyze similar overseas systems, and it was recently confirmed that the Vermont government in the United States enacted the first "Data Broker Act" in the United States as a measure to protect personal information held by data brokers. In this study, we aim to compare and analyze the roles and functions of the "Expert Data Processing Agency" and "Data Broker," and to identify differences in designated standards, security measures, etc., in order to present ways to contribute to the activation of the data economy and enhance information protection.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.1
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• pp.99-116
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• 2023

The importance of data in the era of the 4th industrial revolution, a hyper-connected society based on information technology such as data and AI, is increasing, and the government is actively enacting and revising laws to revitalize the data economy. It is necessary to prevent and improve problems that may set an obstacle to the revitalization of the data industry or setting the wrong direction, such as possibility of conflict between the regulatory law(Personal Information Protection Act) and the Data Activation Act, differences in position by type of specialized agencies, performance scope of Data Specialist Organization and Expert Data Combination Agency, etc. In regard, I would like to analyze the role, current situation, and use cases of Expert Data Combination Agency, listen to field opinions, and derive and introduce measures to expand the role of Expert Data Combination Agency and improve them to vitalize the data economy

• Korean Journal of Computational Design and Engineering
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• v.21 no.1
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• pp.51-60
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• 2016

The arrangement design of a submarine has been performed based on data of parent ships and experts' experiences. To support such a task, it is necessary to accumulate and use systematically the data, and to optimize the task. The expert system for the first issue and the optimization method for the latter issue can be used. At this time, a suitable data structure to share the data on the arrangement design of the submarine should be used. In this study, the data structure named an arrangement template model (ATM) is proposed. To check the applicability of the ATM, a prototype program which consists of the expert system and the optimization method is developed. Finally, the developed program is applied to a small submarine of US Navy. As a result, it is confirmed that the ATM can be used to share the data between the expert system and the optimization method.

• Nuclear Engineering and Technology
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• v.49 no.6
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• pp.1226-1233
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• 2017

Measurements of the isotopic contents of spent nuclear fuel provide experimental data that are a prerequisite for validating computer codes and nuclear data for many spent fuel applications. Under the auspices of the Organisation for Economic Co-operation and Development (OECD) Nuclear Energy Agency (NEA) and guidance of the Expert Group on Assay Data of Spent Nuclear Fuel of the NEA Working Party on Nuclear Criticality Safety, a new database of expanded spent fuel isotopic compositions has been compiled. The database, Spent Fuel Compositions (SFCOMPO) 2.0, includes measured data for more than 750 fuel samples acquired from 44 different reactors and representing eight different reactor technologies. Measurements for more than 90 isotopes are included. This new database provides data essential for establishing the reliability of code systems for inventory predictions, but it also has broader potential application to nuclear data evaluation. The database, together with adjoint based sensitivity and uncertainty tools for transmutation systems developed to quantify the importance of nuclear data on nuclide concentrations, are described.

• Nuclear Engineering and Technology
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• v.46 no.3
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• pp.353-362
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• 2014

The effects of nuclear data uncertainties are studied on a typical PWR fuel assembly model in the framework of the OECD Nuclear Energy Agency UAM (Uncertainty Analysis in Modeling) expert working group. The "Fast Total Monte Carlo" method is applied on a model for the Monte Carlo transport and burnup code SERPENT. Uncertainties on $k_{\infty}$, reaction rates, two-group cross sections, inventory and local pin power density during burnup are obtained, due to transport cross sections for the actinides and fission products, fission yields and thermal scattering data.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.9
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• pp.767-773
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• 2018

In many cases, modern aircraft are equipped with data acquisition system which checks the structural integrity of the aircraft. The analysis of the vibration data collected with the system is generally performed in dependence on a skilled expert who is familiar with aircraft design. Therefore, it is difficult to provide a representative and objective defect identification standard for general users. In this paper, we shows that it is possible to identify the type of maneuvers and faults by using the Principal Component Analysis(PCA) method in the vast vibration data collected during aircraft operation without using the existing aircraft design analysis. We classified the ROK Army aircraft vibration data for maneuvers and faults types, and applied the PCA to the classified data. Our result shows that it is possible to develop an objective maneuver/fault identification method without design analysis for general users.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.315-324
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• 2016

The purpose of this study was to present the future directions for strengthening the TLO(Technology licensing office)s' expertise of universities by examining the impact on utilizing the university management experts for patents and technology transfer. To identify the specific effects of dispatching patent management experts, this study was conducted under various conditions, such as the dispatch status, the dispatching duration of patent management experts and the starting year of dispatching them. The data were analyzed by utilizing the data of the KIPSI's supporting program of dispatching the patent management expert to universities and the data of University Information Disclosure site. The data from a total of 110 four-year universities from 2008 to 2013 were used. According to the analysis result, the technology transfer's performance and technology transfer's income of universities of utilizing the patent management experts compared to universities not utilizing them appeared to be high. Technology transfer and technology transfer income appeared to be higher with a longer period of utilizing the patent management expert at university. This suggests that the direction is required to provide the plan for a longer period to maximize the effect of the program "The dispatching a patent management expert". The technology transfer's performance and technology transfer's income did not increase according to the year of dispatched the patent management expert at the university. A comparison of before and after dispatching, the technology transfer performance appeared to be high after dispatch. This suggests that the effects of dispatching the patent management experts at a university can be interpreted as a subsequent effect, rather than an immediate effect. Therefore, it does not simply limit the effectiveness of the dispatch business in the short term, but it needs to activate the technology transfer organization, such as a patent management expert in the long term.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.1
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• pp.16-24
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• 2019

In this study, an improved method of setting the RAM goals for surveillance system using OMS/MP and field operations data of similar systems is suggested and a case study of surveillance system A is given. Newly suggested methods for setting the RAM goals consist of the procedures such as On/Off time analysis of configuration equipment based on OMS/MP, field operations data analysis of similar systems, adjustment of preventive maintenance time, the number of corrective maintenances, and TALDT in wartime, introducing new subsystem to reliability structure of surveillance system, and reflecting expert's opinion. A case study of surveillance system A shows that newly suggested method in this study for setting the RAM goals is reasonably acceptable and practically applicable to other similar systems.

• Journal of the Korean Society of Safety
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• v.36 no.2
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• pp.49-57
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• 2021

In the case of military supplies, any potential failure and causes of failures must be considered. This study is aimed at examining the failure modes of a rotorcraft landing system to identify the priority items. Failure mode and effects analysis (FMEA) is applied to the rotorcraft landing system. In general, the FMEA is used to evaluate the reliability in engineering fields. Three elements, specifically, the severity, occurrence, and detectability are used to evaluate the failure modes. The risk priority number (RPN) can be obtained by multiplying the scores or the risk levels pertaining to severity, occurrence, and detectability. In this study, different weights of the three elements are considered for the RPN assessment to implement the FMEA. Furthermore, the FMEA is implemented using a fuzzy rule base, similarity aggregation model (SAM), and grey theory model (GTM) to perform a comparative analysis. The same input data are used for all models to enable a fair comparison. The FMEA is applied to military supplies by considering methodological issues. In general, the fuzzy theory is based on a hypothesis regarding the likelihood of the conversion of the crisp value to the fuzzy input. Fuzzy FMEA is the basic method to obtain the fuzzy RPN. The three elements of the FMEA are used as five linguistic terms. The membership functions as triangular fuzzy sets are the simplest models defined by the three elements. In addition, a fuzzy set is described using a membership function mapping the elements to the intervals 0 and 1. The fuzzy rule base is designed to identify the failure modes according to the expert knowledge. The IF-THEN criterion of the fuzzy rule base is formulated to convert a fuzzy input into a fuzzy output. The total number of rules is 125 in the fuzzy rule base. The SAM expresses the judgment corresponding to the individual experiences of the experts performing FMEA as weights. Implementing the SAM is of significance when operating fuzzy sets regarding the expert opinion and can confirm the concurrence of expert opinion. The GTM can perform defuzzification to obtain a crisp value from a fuzzy membership function and determine the priorities by considering the degree of relation and the form of a matrix and weights for the severity, occurrence, and detectability. The proposed models prioritize the failure modes of the rotorcraft landing system. The conventional FMEA and fuzzy rule base can set the same priorities. SAM and GTM can set different priorities with objectivity through weight setting.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.2
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• pp.139-149
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• 2018

In the contemporary era of smart tourism, travelers face more accommodation options than ever before. The rapid expansions of alternative accommodation sector are partially owing to the growth of electronic commerce and the rise of online intermediary platforms. Online travel agencies serve as a critical distribution channel for tourism sectors, and the significance is further increased for small and micro entrepreneurs whose direct communication channels are scarce. Considering the holistic process of customer experience started with a third-party online intermediary, this study explores basic and extended attributes of small and medium-sized alternative accommodation where the comparative value is created. In order to achieve the objective, a research design was developed to synthesize the qualitative evidence. The synthesis encompasses both theoretical and practical perspectives, from a systematic review and opinions of academic professionals to an in-depth interview with an industry expert and the current practices of online travel agencies. This study suggests that the sources of value creation for alternative accommodation are not always consistent with those of the traditional. Accounting for the temporal and spatial dynamics in customer experience, the findings of this study provide insights on the comparative value of alternative accommodation, to both academic and industry audiences.