• The Korean Journal of Archival Studies
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• no.12
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• pp.3-35
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• 2005

There have been growing interests in work process analysis methodology, ever since ISO 15489 and DIRKS were introduced to the Korean archival and records management community. It is because the methodology has been expected to provide with much needed information, with which records management programs could be designed. The information encompass from those needed in developing macro-organizational framework such as business classification schemes, to those essential to identify exact points of time, at which records management systems should capture records during each phase of business process. The Korean community, however, currently possesses a surprisingly scanty understanding of the methodology. The present paper aims to promote its understanding among Korean archivists and records managers, by reviewing an Australian standard of Work Process Analysis for Recordkeeping(AS 5090). It begins with drawing attention to the fact that the work process analysis is utilized in diverse areas, encompassing systems development, organizational re-engineering, and human resources management in business settings. When the methodology is implemented in records management settings, therefore, focus should be lied in finding out ways of creating and capturing records from the routine business activities. The paper then reviews the relationship among the three standards, AS 5090, DIRKS, and ISO 15489. Most parts of the paper are dedicated to review AS 5090 in detail, with examples. The paper also provides with output forms to be used to organize and represent results from the analysis.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.323-334
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• 2019

The purpose of this study is to propose agenda concerning the direction of agricultural science convergence research and development (R&D) under the fourth industrial revolution. For this study, we apply the Analytic Hierarchy Process (AHP) targeted at experts in the fields of agricultural academia and research operating R&D currently. Results suggest the following agendas; first, human resource training toward future is more emphasized rather than fragmentary technology innovation. Second, a flexible road map for agricultural science R&D need to be made for responding to short and long term issues relevant to the innovation. Third, mutual exchange and cooperative system need to be constructed between academia and research in order to create synergy effects. Finally, both institutional improvement and humanistic literacy should be emphasized for rapidly changing conditions and better human life under the fourth industrial revolution.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.16-21
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• 2019

Small and medium-sized Korean companies are currently changing their industrial structure faster than in the past due to various environmental factors (such as securing competitiveness and developing excellent products). In particular, the importance of collecting and utilizing data produced in smart factory environments is increasing as diverse devices related to artificial intelligence are put into manufacturing sites. This paper proposes an artificial intelligence-based smart factory model to improve the process of products produced at the manufacturing site with the recent smart factory. The proposed model aims to ensure the increasingly competitive manufacturing environment and minimize production costs. The proposed model is managed by considering not only information on products produced at the site of smart factory based on artificial intelligence, but also labour force consumed in the production of products, working hours and operating plant machinery. In addition, data produced in the proposed model can be linked with similar companies and share information, enabling strategic cooperation between enterprises in manufacturing site operations.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.79-90
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• 2019

As an increasing number of cloud service providers begin to provide cloud computing services, they form a competitive market to compete for users. Due to different resource configurations and service workloads, users may observe different response times for their service requests and experience different levels of service quality. To compete for cloud users, it is crucial for each cloud service provider to determine an optimal price that best corresponds to their service qualities while also guaranteeing maximum profit. To achieve this goal, the underlying rationale and characteristics in this competitive market must be clarified. In this paper, we analyze price competition in the multimedia cloud service market with two service providers. We characterize the nature of non-cooperative games in a duopoly multimedia cloud service market with the goal of capturing how each cloud service provider determines its optimal price to compete with the other and maximize its own profit. To do this, we introduce a queueing model to characterize the service process in a multimedia cloud data center. Based on performance measures of the proposed queueing model, we suggest a price competition problem in a duopoly multimedia cloud service market. By solving this problem, we can obtain the optimal equilibrium prices.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.111-117
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• 2019

In this paper, we propose a mobile remicon quality management system to enable inspection and correspondence with a smart phone in the field check of remicon. We also proposed a real-time slump data processing part to digitize field inspection and XML formats for data exchange with the server. We used the smart phone to transmit real-time image about field inspection of remicon and judged the error at the same time. By doing this, we shared the situation of the remicon products in the field and the head office. Based on the actual results, the development technology is used to determine whether the product is abnormal or not, and to provide appropriate information to the company and the site. Based on the analysis of raw material quality data, it is possible to present real time optimal blending ratio according to raw material import with raw material management data, which is the biggest problem of the ready mixed concrete industry.

• Journal of Service Research and Studies
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• v.8 no.4
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• pp.53-75
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• 2018

Bicycle-sharing as a product service system in the sharing economy, its characteristic is that users can go to nearby places by the public bike at any time however they don't need to have their own bicycle. However, the service quality of bicycle-sharing and satisfaction of users continuously decrease with the rapid growth number of bicycle-sharing users in China. Based on the double diamond model and from the perspective of service design, this research studies the service experience of bicycle-sharing of Chinese users, focuses on the potential pain points of Chinese users when using the public bike, and designs the optimum proposal to promote users' satisfaction. According to the research result, the research builds a new concept which can satisfy users' demand for communication, enjoyment and option during the cycling. The experience of new service system of bicycle-sharing makes humanized and subconscious interaction possible.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.110-122
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• 2019

IT innovation, cultural revolution based on smart and social networks diversified sharing economy services. Due to the rising of business utilizing the sharing economy concept, it is important to better understand the motivational factors that drive and deterrent sharing economy services in the marketplace. Based on responses from 809 adult users, 3 drivers and 2 deterrents affecting intention to use of sharing economy services were identified. Then this study categorized sharing economy services as three types of segments based on consumer perceptions and subjectivity, and analyzed differencies of perceptions on motivational factors between groups. As a result, redistribution market group has shown meaningful different average scores on economic benefit, sustainability and social risk with other groups. Based on the empirical evidence, this study suggests several propositions for future studies and implications for sharing economy businesses on how to formulate optical strategies and manage users.

• Convergence Security Journal
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• v.18 no.3
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• pp.123-132
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• 2018

North Korea's cyber warfare capability is becoming a serious security threat to Korea because most of the operational systems of social infrastructure and advanced weapons system are all networked. Therefore, the purpose of this article is to examine what the Korean government should do to strengthen cyber security capabilities toward North Korea. For this purpose, this article analyzed North Korea's cyber attack cases against Korea by categorizing according to threat type and purpose. The research findings are as follows. It is necessary first, to have aggressive cyber protection and attack capabilities; second, to establish an integrated cyber security control tower that can be overseen by the national government; third, to need to legislate domestic cyber- related laws; fourth, to build a multilateral & regional cyber cooperation system. The implication of these findings are that it needs to be strengthened the cyber security capability from the cyber threats of North Korea by minimizing the damage during the peacetime period and for the complete warfare in case of emergency.

• Journal of Korean Society of Rural Planning
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• v.25 no.2
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• pp.15-21
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• 2019

The agricultural environment is changing and becoming more advanced due to the influence of the 4th Industrial Revolution. From the basic plan of Rural Informatics to the current level of 2nd generation smart farms aimed at improving productivity using Big data, cloud network and more IoT technology. We are continuing to provide support and research and development. However, many problems remain to be solved in order to supply and settle smart farms in Korea. The purpose of this study is to provide a method of collecting and sharing data on farming environment and to help improve the income and productivity of farmers based on collected data. In the case of hog farm, the multiple sensors for environmental data like temperature, humidity and gases and the network environment for connecting the internet were established. The environment sensor was made using the ESP8266 Node MCU board as micro-controller, DHT22 sensor for temperature and humidity, and MQ series sensors for various gases in the hog pens. The network sensor was applied experimentally for one month and the environmental data of the hog farm was stored on a web database. This study is expected to raise the importance of collecting and managing the agricultural and environmental data, for the next generation farmers to understand the smart farm more easily and to try it by themselves.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.4
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• pp.79-86
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• 2019

This paper describes a time-series data prediction based on artificial neural networks (ANN). In this study, a batch based ANN model and a stochastic ANN model have been implemented using TensorFlow libraries. Each model are evaluated by comparing training and testing errors that are measured through experiment. To train and test each model, tax dataset was used that are collected from the government website of indiana state budget agency in USA from 2001 to 2018. The dataset includes tax incomes of individual, product sales, company, and total tax incomes. The experimental results show that batch model reveals better performance than stochastic model. Using the batch scheme, we have conducted a prediction experiment. In the experiment, total taxes are predicted during next seven months, and compared with actual collected total taxes. The results shows that predicted data are almost same with the actual data.