• The Korean Journal of Archival Studies
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• no.50
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• pp.389-423
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• 2016

This paper aims at examining the local records management under the influence of the Public Archives Act established in 2009 through a case study of prefectures and large cities with prefectural level dominions in Japan. The records management in local government has been carried out on the basis of 'the document management rule' in administrative agencies without the public archives management law. Modification of laws and ordinances in relation with records and archives management and reorganization of archives are proceeding to realize 'proper records management' in local government. Even if the content and levels are varied due to the situational conditions of local governments, the unitary records management system covering 'current and non-current' records is being adopted through the establishment of records management ordinances. In the process, local archives are pursuing strengthening and extension of their authorities and functions on records management. In addition, it is identified that observation of the provisions of records management ordinance is reinforced with public announcement of retention schedule and operation of public records management committees. These changes in local governments reflect the thought that administrative records are the intellectual property of the public and the intent of the law that accountability for the public should be achieved through the proper records management.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.644-657
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• 2019

This study examines the types of strategic alliances formed between terrestrial broadcasters and content start-ups, their resource inter-dependence and the dynamic evolution of their relationship through a case study of KBS Labs, a strategic alliance between KBS and content start-ups. Mergers, acquisitions and strategic alliances sought by large media companies or strategic alliances made only between disparate providers in broadcasting and telecommunications industries are now actively pursued by traditional media and start-ups. The alliances between traditional media and start-ups are beneficial to both parties: traditional media can quickly implement start-ups' innovative ideas and business models and start-ups can tap into not only vast amounts of content being created by or in the archives of traditional media but also their capital, office space and reputation. Therefore, the case study of KBS Labs will help draw out important implications for motivating strategic alliances between traditional media and start-ups. To this end, the resource-based view and the evolutionary theory of the firm are adopted to explore the characteristics and development process of the KBS Labs business.

• Journal of Aerospace System Engineering
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• v.15 no.3
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• pp.45-56
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• 2021

Demand for UAM (Urban Air Mobility) aircraft is rapidly increasing in countries around the world due to the problem of traffic congestion in urban areas. Through research and development, various e-VTOL aircraft concepts are being prepared for commercialization, for which airworthiness certification is required, since it is a manned transportation mode for people to board. Factors that pose a fatal threat to the safe operation of UAM aircraft include lightning strikes that can cause damage to structures and disturb the navigation system, as well as icing that impairs flight stability. Since the current UAM aircraft-related lightning and icing certification technology development is insufficient, there is need to develop appropriate airworthiness certification guidelines. In this study, after analyzing the laws and regulations related to aircraft by the FAA and the EASA, we tried to incorporate the lightning and icing certification guidelines for the UAM aircraft. We also analyzed the effects of lightning and icing on UAM aircraft using computational simulation, and presented the basis for establishing practical guidelines for the certification of UAM aircraft to be adopted in the future.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.525-531
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• 2020

In today's IT environment where various pieces of information are distributed in large volumes, recommendation systems are in the spotlight capable of figuring out users' needs fast and helping them with their decisions. The current recommendation systems, however, have a couple of problems including that user preference may not be reflected on the systems right away according to their changing tastes or interests and that items with no relations to users' preference may be recommended, being induced by advertising. In an effort to solve these problems, this study set out to propose a Fuzzy-AHP-based movie recommendation system by applying the BRNN(Bidirectional Recurrent Neural Network) language model. Applied to this system was Fuzzy-AHP to reflect users' tastes or interests in clear and objective ways. In addition, the BRNN language model was adopted to analyze movie-related data collected in real time and predict movies preferred by users. The system was assessed for its performance with grid searches to examine the fitness of the learning model for the entire size of word sets. The results show that the learning model of the system recorded a mean cross-validation index of 97.9% according to the entire size of word sets, thus proving its fitness. The model recorded a RMSE of 0.66 and 0.805 against the movie ratings on Naver and LSTM model language model, respectively, demonstrating the system's superior performance in predicting movie ratings.

• The Journal of Korean Philosophical History
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• no.54
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• pp.43-75
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• 2017

This paper is to examine how Joseon intellectuals understood $g{\check{u}}$(古) and $j{\bar{i}}n$(今) and how its history consequently changed. It is to take a macroscopic view focusing on differences of different schools. Understanding of '$g{\check{u}}$' and '$j{\bar{i}}n$' directly and indirectly affected academia, art and even politics throughout Joseon dynasty. As different scholars and schools distinctively understood $g{\check{u}}$ and $j{\bar{i}}n$, issues of tradition and creation; conservatism and progressivism and; ideal and reality were deeply discussed. Those discussions greatly and historically contributed to making changes in politics and society as well. A cultural tradition of emphasizing '$g{\check{u}}$' took a deep root in overall Joseon society. Meanwhile, understanding of '$j{\bar{i}}n$(今)' or '$x{\bar{i}}n$(新)' was required with changes of times. as When people thought the reality is confusing or corrupt, they adopted restoration(復古) which means to go back to basis as the slogan. Awareness in $g{\check{u}}$ and $j{\bar{i}}n$ served as a drive to change the society. However, they never lifted their voices for '$j{\bar{i}}n$' or '$x{\bar{i}}n$,' abandoning '$g{\check{u}}$'. Criticism on '$g{\check{u}}$' was merely for criticizing being bound by '$g{\check{u}}$,' not targeting '$g{\check{u}}$' itself. '$J{\bar{i}}n$' actually was a dependent variable of '$g{\check{u}}$.' It is a dichotomous view to consider '$g{\check{u}}$' as conservatism and '$j{\bar{i}}n$' as progressivism.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.492-497
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• 2020

Today, banks around the world are making great efforts to adapt to the rapidly changing internal and external environment changes caused by the development of IT technology and to gain a competitive advantage in the market. In particular, in line with the rapid growth of smartphone usage, financial services are also provided in a variety of ways using Fintech, and one of the fastest growing areas is mobile simple payment. Mobile payment service is a financial service that pays the purchase price using a portable mobile device. As fintech, a convergence of financial services and information technology, it is recently used not only in financial services, but also in various industries. It is used in all fields where payment functions such as distribution are available. In the case of mobile cards, it shows that the usage rate of people in their 20s and 30s is increasing very much, so it can be said that the use of mobile payment services will continue to increase in the coming future. We know that simple payments are being used. However, it can be said that the research on the use of mobile payment services by these teenagers is somewhat incomplete. Therefore, this study investigated what factors are important for Korean teenagers to use mobile payment services. As a result, among the five hypotheses presented in this study, all hypotheses were adopted except for , which states that cash usage habits have no effect on innovation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.94-100
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• 2021

To improve the productivity of cargo containment construction for a membrane LNG carrier, it is important to shorten the installation period and process of the scaffolding system, which is a construction workbench of a cargo containment for a membrane LNG carrier. As an effective method, opinions are being gathered to enlarge the lifting unit from the existing two stages to eight stages. On the other hand, the stresses around the pin and hole will increase significantly because of the increase in lifting load according to the large size of the module. The purpose of this study was to establish a new large module-lifting plan by introducing TRIZ to solve these problems. This study adopted a method to utilize 40 inventive principles, which is one of the various problem-solving tools of TRIZ. First, technical contradictions were derived, the engineering parameters were selected. Second, efficient inventive principles were selected to overcome the technical contradictions using a contradiction matrix. Finally, the general and specific solutions were derived through the selected inventive principle, and structural analysis confirmed that the stress generated in the structure was low. The utility of TRIZ was confirmed by the successful lifting of large modules using the established lifting method.

• Korean Journal of Acupuncture
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• v.38 no.1
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• pp.16-31
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• 2021

Objectives : The purpose of this study was to investigate the current status of clinical practice for gout in Korean Medicine (KM). Methods : On-line survey was adopted for this study, targeted at KM Doctors who were registered in the Association of Korean Medicine. The questionnaire included the general status of treatment, pattern identification and treatment method according to three stages given: acute, chronic and asymptomatic hyperuricemia stage. Results : Data from a total of 384 respondents was analyzed. Participants who responded most were in their 40s, working in KM clinics located in Seoul. Acupuncture and herbal medicines were the top priority treatments in preparing recommendations in clinical practice guidelines for gout, and where clinical trials were considered essential. As of the past year, the average number of first visits per month was 86.7%, and the average treatment duration was less than 1 month, accounting for 72.9%. As for the diagnostic method used for gout patients, the "diagnosed by clinical pattern" response was the highest, and the "blood and urine test" response was the highest as the diagnostic equipment used. As for the evaluation scale being used, the "VAS/NRS" response was the highest. Regardless of the gout stage, acupuncture was the most commonly used treatment method for gout patients, and bee venom pharmacopuncture was the highest for the pharmacopuncture used. In the case of herbal medicine, it was found that a wider variety of herbal medication uninsured in health insurance and herbal prescription were used for the staged treatment of gout than herbal medication in national health insurance coverage. In clinical practice, "acupuncture treatment three times a week" was the most common, and the "acupoints in the limb" were the most frequently used; LR3 and SP3 were the most frequently used acupoints. Conclusions : It is suggested that this survey should be helpful to develop clinical practice guideline for gout that reflects actual clinical practice.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.229-243
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• 2021

As systematic information protection and management is recognized as an organization's core value, organizations are pursuing a shift from an individual-centered information management method to an organization-oriented information management method. The Enterprise content management system(ECMS) is a solution that supports document security and information sharing by insiders and is being introduced by many organizations due to recent technological developments. The purpose of this study is to present a method of improving performance through continuous use of the ECMS from the user's point of view and also suggest a method to improve the intention of continuous use through the expansion of the technology acceptance model. This study surveyed the employees of organizations that adopted the ECMS and verified the research hypothesis derived from previous studies through structural equation modeling. As a result of the analysis, usefulness, and ease of use affected on the intention of continuous use of the ECMS, and the knowledge sharing culture and the ECMS quality factors affected the technology acceptance model factors. The results of this study have academic and practical significance in terms of suggesting a plan to increase the usability of the ECMS from the user's point of view.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.834-841
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• 2022

Recently, applying artificial intelligence technologies in various fields of production has drawn an upsurge of research interest due to the increase for smart factory and artificial intelligence technologies. A great deal of effort is being made to introduce artificial intelligence algorithms into the defect detection task. Particularly, detection of defects on the surface of metal has a higher level of research interest compared to other materials (wood, plastics, fibers, etc.). In this paper, we compare and analyze the speed and performance of defect classification by combining machine learning techniques (Support Vector Machine, Softmax Regression, Decision Tree) with dimensionality reduction algorithms (Principal Component Analysis, AutoEncoders) and two convolutional neural networks (proposed method, ResNet). To validate and compare the performance and speed of the algorithms, we have adopted two datasets ((i) public dataset, (ii) actual dataset), and on the basis of the results, the most efficient algorithm is determined.