• Journal of Korean Society of Rural Planning
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• v.27 no.3
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• pp.85-92
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• 2021

As the paradigm of green has been expended as the core of sustainable development in Korea, agro-healing projects increasingly have been a priority at the national policy and investment area. But little is known about the current overview of national research and development(R&D) related to agro-healing. The aim of this study was generally to investigate the research trends of national R&D related to agro-healing over the past five years. Dataset were gathered from provided by National Science & Technology Information Service(NTIS), word cloud techniques were applied. The main results showed that amounts of number and funding related to agro-healing projects have been increasing. In particular, the Rural Development Administration had the highest number of research, and it was found that the Ministry of Trade, Industry and Energy have spended a lot of money on agro-healing. As a results, it is necessary to expand the scope of the field of agro-healing projects, especially at the multisectoral and intersectoral level for improving health, well-being and a sustainable future.

• Journal of Korean Society of Archives and Records Management
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• v.21 no.3
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• pp.119-138
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• 2021

This study aims to provide the basic functional requirements and degree of importance of online archival exhibitions, which have played an essential role in the records information service lately. It first derived the properties of online archival exhibitions and their functional attributes through literature analysis. Next, it analyzed the degree of importance of functional requirements using the analytic hierarchy process (AHP) method. As a result, 3 properties and 13 functional requirements of online archival exhibitions were proposed. It was found that the archivists managing the online archival exhibitions considered the most important property to be "Information Transmission," the second the "Effectiveness of Exhibition," and the third the "Informative Function." As for the most critical functional requirements, these are "Aesthetics," "Interaction," "Usability," "Educational Experience Provision," and "Promotion and Exhibition Activation," while the least are "Theme Originality" and "Content Inclusiveness."

• Philosophy of Education
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• no.60
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• pp.93-116
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• 2016

In this research we analyze Sun Wen's revolution education from the perspective of chinese nationalism. Sun Wen instigated the revolution of 1911 and established the first Chinese republican government; his "three people's principles" played an important role in modern Chinese politics. Sun Wen tried to remind the people and make them conscious of their sovereignty through education. Critical of then-the feudalistic education, Sun Wen incorporated Western-modern education in to his philosophy of education, which then provided theoretical framework of the Chinese revolution. At the core of it was the so-called "advanced education", based on Chinese nationalism, which encourages people to fight for independence as well as national prosperity and defense. The advanced education consisted of "proclaim education" and "constructive education". The proclaim education was a means of disseminating revolutionary ideas through an armed struggle against Ching dynasty; the goal was to encourage people to participate actively. Constructive education could be divided into two periods, namely the period of pre-republic of China and post-republic of China; the aim and process of education in the former period was to "wipe out" the Manchu people of the Qing dynasty while in the latter, to build a country predicated on Chinese nationalism, which was hostile towards the Qing dynasty and any other thoughts that do not accord with it. The main purpose of revolution education was to inspire Sinocentrism and to solidify the country of the Chinese people. Ultimately, Sun Wen's philosophy of revolution education provided foundation for the construction of a country of the Chinese people in which inspirational writing for the welfare of the people, loyalty to country, and public service are realized.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.36-48
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• 2020

App market has continuously been growth since its launch. The market revenues will reach about 1,000 billion US dollars in 2019. App is a core service for smartphone. Currently, there are more than 1.5 million mobile apps in App platform calling out for attention. So, if you are looking at developing a successful app, you need to have a solid marketing and distribution strategy. Online word of mouth(eWOM) is one of the most effective, powerful App marketing method. eWOM affect potential consumers' decision making, and this effect can spread rapidly through online social network. Despite the increasing research on word of mouth, only few studies have focused on content analysis. Most of studies focused on the causes and acceptance of eWOM and eWOM performance measurement. This study aims to content analysis of mobile apps review In 2013, Google researchers announced Word2Vec. This method has overcome the weakness of previous studies. This is faster and more accurate than traditional methods. This study found out the relationship between mobile app reviews and checked for reactions by Word2vec.

• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.54-63
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• 2021

Since the recent COVID-19 pandemic, countries have been strengthening trade protection for their security, and the importance of securing strategic materials, such as food, is drawing attention. In addition to the cultural aspects, the global preference for food produced in Korea is increasing because of the Korean Wave. Thus, the Korean food industry can be developed into a high-value-added export food industry. Currently, Korea has a low self-sufficiency rate for foodstuffs apart from rice. Korea also suffers from problems arising from population decline, aging, rapid climate change, and various animal and plant diseases. It is necessary to develop technologies that can overcome the production structures highly dependent on the outside world of food and foster them into export-type system industries. The global agricultural industry-related technologies are actively being modified via data accumulation, e.g., environmental data, production information, and distribution and consumption information in climate and production facilities, and by actively expanding the introduction of the latest information and communication technologies such as big data and artificial intelligence. However, long-term research and investment should precede the field of living organisms. Compared to other industries, it is necessary to overcome poor production and labor environment investment efficiency in the food industry with respect to the production cost, equipment postmanagement, development tailored to the eye level of field workers, and service models suitable for production facilities of various sizes. This paper discusses the flow of domestic and international technologies that form the core issues of the site centered on the 4th Industrial Revolution in the field of agriculture, livestock, and fisheries. It also explains the environmental awareness production technologies centered on sustainable intelligence platforms that link climate change responses, optimization of energy costs, and mass production for unmanned production, distribution, and consumption using the unstructured data obtained based on detection and growth measurement data.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.209-233
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• 2021

This study aims to obtain implications for educational information services for elementary school teachers by analyzing their information seeking behavior. The in-depth interview was carried out in-depth interviews with 11 elementary school teachers and it analyzed of the core roles and tasks of elementary school teachers, the required information and usage behavior of information sources. The study result showed that elementary school teachers perceived homeroom duties, teaching/learning activities, school duties, and other as their works and tasks, and the response to the importance of task performance was homeroom teacher, teaching-learning activities, school works, and other tasks. Also, elementary school teachers needed information in order of teaching-learning activities, homeroom teacher, school works and they used various information sources including web, interpersonal sources and book. Moreover, this study observed some factors that elementary school teacher mainly used web information source which other elementary school teacher developed and that they got teaching-learning materials from fellow teachers. Based on these findings, the author proposed teacher librarian share library based instruction materia in web resource, provide cooperative educational information service through learning community, and provide homeroom work material for elementary school teachers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.7-14
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• 2022

Sensor Registry System (SRS) has been devised for maintaining semantic interoperability of data on heterogeneous sensor networks. SRS measures the connectability of the mobile device to ambient sensors based on positions and only provides metadata of sensors that may be successfully connected. The step of identifying the ambient sensors which can be successfully connected is called sensor filtering. Improving the performance of sensor filtering is one of the core issues of SRS research. In reality, GPS sometimes shows the wrong position and thus leads to failed sensor filtering. Therefore, this paper proposes a new sensor filtering strategy using geographical embedding and neural network-based path prediction. This paper also evaluates the service provision rate with the Monte Carlo approach. The empirical study shows that the proposed method can compensate for position abnormalities and is an effective model for sensor filtering in SRS.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.19-26
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• 2021

A purpose of this study is to suggest distribution tariff regulation that encourages private investment on the energy efficiency industry of Ukraine. As the electricity market reform and the regulation introduction to encourage energy efficiency are ongoing in Ukraine, it is best time for Korean companies to enter to the market. Therefore, studies on the regulation and the market of Ukraine are required in advance. A simulation of private investment feasibility on AMI business is conducted on one of 32 DSOs in Ukraine. Through the simulation, the directions of RAB tariff regulation, which is the core of the distribution service tariff regulation, were derived. It is essential for DSOs to permit AMI lease assets, introduced by private investors, as regulated assets while other regulations are maintained as it is for investment. This study provides a practical basis by presenting objective data through simulation. It is expected to be helpful for overseas expansion of companies if the study is expanded to the various energy efficiency industries.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.93-100
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• 2022

In the era of information overload on the Internet, the recommendation system, which is an indispensable function, is a service that recommends products that a user may prefer, and has been successfully provided in various commercial sites. Recently, studies to reflect the rating time of items to improve the performance of collaborative filtering, a representative recommendation technique, are active. The core idea of these studies is to generate the recommendation list by giving an exponentially lower weight to the items rated in the past. However, this has a disadvantage in that a time function is uniformly applied to all items without considering changes in users' preferences according to the characteristics of the items. In this study, we propose a time-aware collaborative filtering technique from a completely different point of view by developing a new similarity measure that integrates the change in similarity values between items over time into a weighted sum. As a result of the experiment, the prediction performance and recommendation performance of the proposed method were significantly superior to the existing representative time aware methods and traditional methods.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.265-277
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• 2021

Data is the core of AI technology. With the development of technology, AI technology is also accelerating as the amount of data increases explosively than before. However, compared to the interest in AI education, research on data education with AI is still insufficient. According to the case analysis of exsisting AI data education, there were cases of educating the process and part of data science, but it was hard to find studies related to data collection. Cause physical computing tools have a positive effect on AI education for elementary school students, data collection cases using tools were studied, but researches related to data collection were rare. Therefore, in this study, an efficient data collection method using physical tools was designed. A structural diagram of a data collection program was created using COBL S, a modular physical computing teaching tool, and examples of program screens from the service side and the user side were configured. This study has limitations in that the establishment of an AI education platform that can be used in conjunction with future program production and programs should be prioritized as a proposal in terms of design.