• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.600-602
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• 2021

With the development of the mobile industry and growing interest in artificial intelligence (AI) technology, a lot of research for AI processors which applicable to embedded systems is under study. When implementing AI to embedded systems, the design should be considered the restriction of resource and power consumption. Moreover, it is efficient to include a dedicated hardware accelerator in order to complement the low computational performance of the embedded system. In this paper, we propose an stand-alone embedded AI processor. The proposed AI processor includes a hardware accelerator that is dedicated to the distance-based AI algorithm and a general-purpose MCU that supports flexible programmability for application to various embedded systems. The AI processor was designed with Verilog HDL and verified by implementing on Field Programmable Gate Array (FPGA).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.571-573
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• 2021

Recently, according to the rapid development of the Internet, information is increasing exponentially. A lot of this information Various studies are being conducted in order to communicate smoothly. In recent years, related researches applying artificial intelligence and big data technologies have been actively conducted. However, it has not produced remarkable results. One of the causes can be found in the severe limitation of the lack of language and knowledge standards. Currently, there is an active research on conferences using a multimedia approach, and gradually, interest in knowledge-based conference systems has begun. In the case of a meeting with a multimedia approach, the advantages and disadvantages of the existing offline meetings are expressed online as they are, and the management of information on the actual contents and process of important meetings is neglected. Therefore, in this paper, we study a plan to convert conference content information into an ontology, and propose a method to systematically analyze the ontology-formed information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1908-1918
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• 2022

Recently, ASEAN is not only a new production base but also a consumer market for Korea, and interest in the utilization of production networks in each region is increasing. In particular, urbanization in ASEAN countries is progressing at a relatively fast pace. Each country is promoting smart city projects combined with ICT to improve outdated basic infrastructure facilities such as housing, transportation, logistics, crime prevention, and disaster prevention. The purpose of this study is to develop a web-based smart city export HUB platform so that companies with excellent domestic smart city solutions can participate in smart city construction through networks with ASEAN countries. These platforms can secure the demand for smart city construction in ASEAN countries, and through the establishment of the Korea-ASEAN public-private network, smart cities planned in ASEAN countries can be promoted more innovative. In addition, it is expected to be positioned as a Global smart city platform model by applying to real cities through collaboration with excellent domestic companies.

• Journal of the Korea Society of Computer and Information
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• v.28 no.7
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• pp.29-37
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• 2023

Due to climate change, interest in crop production and distribution is increasing, and attempts are being made to use bigdata and AI to predict production volume and control shipments and distribution stages. Prediction of agricultural product imports not only affects prices, but also controls shipments of farms and distributions of distribution companies, so it is important information for establishing marketing strategies. In this paper, we create an artificial intelligence prediction model that predicts the future import volume based on the wholesale market melon import volume data disclosed by the agricultural statistics information system and evaluate its accuracy. We create prediction models using three models: the Neural Prophet technique, the Ensembled Neural Prophet model, and the GRU model. As a result of evaluating the performance of the model by comparing two major indicators, MAE and RMSE, the Ensembled Neural Prophet model predicted the most accurately, and the GRU model also showed similar performance to the ensemble model. The model developed in this study is published on the web and used in the field for 1 year and 6 months, and is used to predict melon production in the near future and to establish marketing and distribution strategies.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.357-362
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• 2023

This study aims to investigate the perception of pre-service early childhood teachers regarding play-oriented education through metaphorical analysis, in order to comprehend its meaning that pre-service early childhood teachers perceive. A questionnaire was used, which asked the participants to express play metaphorically and provide reasons for their choices. The collected data were analyzed using a systematic metaphorical analysis approach. The results revealed that the metaphorical expressions of pre-service early childhood teachers regarding play-oriented education were categorized as instructional methods being the most prominent, followed by environment, enjoyment/happiness, autonomy, growth and development, interactive relationships, child-directedness, the essence of life, interest, creativity, potential, variability, everyday life, ambiguity of beginnings and endings, naturalness, and others. Based on these findings, it is expected that one can attain insights regarding the methods of training pre-service early childhood teachers on how to implement play-centered education in the revised Nuri curriculum.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.13-22
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• 2023

Recently, global luxury fashion brands such as Gucci, Saint Laurent, and Louis Vuitton have been showing special interest in Korean contemporary artists and actively collaborating with them. This can be said to be a new change that is distinguished from previous collaborations of fashion brands. Therefore, this study investigated the cases of collaboration between global luxury fashion brands and Korean contemporary artists, and analyzed the types and characteristics to examine the trends and characteristics and draw meaning. As a result, fashion brands combine the characteristics of Korean art works of various genres with the brand concept and pursued values to create new sensibility and high value-added products. It can be seen that the intention was to prepare a place to draw out. In addition, it was found that collaboration was also utilized in terms of marketing so that domestic customers could visit the brand store with a sense of familiarity by utilizing Korea's artistic and cultural sentiments. Based on the results of this study, we intend to provide basic data for the development of creative contents for various collaborations between fashion and art that can help develop the modern fashion industry.

• Journal of Environmental Science International
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• v.31 no.11
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• pp.951-958
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• 2022

The aim of this study was to determine the optimum level of carbon dioxide to maximize the quality and yields of strawberries cultivated in a greenhouse. Specifically, two strawberry cultivars, namely, 'Seolhyang' and 'Maehyang', were subjected to varying concentrations of carbon dioxide and patterns linked to their productivity were noted. Both cultivars showed improvements across various physical variables (i.e., leaf area, crown diameter, plant height, fresh weight, and dry weight) when carbon dioxide concentrations were at 1,500 ppm. The optimum carbon dioxide concentration for increased fruit yields and quality was 1,000 ppm. When carbon dioxide was at 1,000 ppm the yields of 'Seolhyang' and 'Maehyang' increased by 1.99 and 1.78 times, respectively, compared to control plants. The influence of carbon dioxide on fruit color was negligible. However, the carbon dioxide increased the sugar content and sugar-acid ratio of the experimental fruits compared to control plants. Specifically, the sugar-acid ratio, which is directly related to taste, was at its highest when the concentration of carbon dioxide was at 1,000 ppm (i.e., for both 'Seolhyang' and 'Maehyang'). Overall, the application of carbon dioxide culminated in improved yields and fruit quality for both cultivars of interest.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.19 no.2
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• pp.187-198
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• 2008

If mentoring is performed in university libraries for mentors, the senior librarians with much experience and mentees, the juniors with less or no experience, how would they respond to it and what would be the mentoring they wish to do? This study aims to find those out by analyzing data. For this, it referred to literature and conducted a survey with the subject of the librarians at the P university library. As a result, they showed relatively higher intentions to participate in mentoring. Their highest interest topics were their job related advice or consultation. For the mentor-mentee matching, they wished to have such relationship from the board organized in the library, or mentees wanted to select. They chose work ability as the most important requirement for their partners involved in the mentoring. They responded that the best mentor-mentee matching would be 1:1 and less than a year would be appropriate for the mentoring period. As shown above, most of the librarians showed intentions to participate in mentoring for their professional development and self-learning opportunity; therefore, university libraries should publicize librarians' mentoring actively and develop various programs for it.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.3
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• pp.29-42
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• 2023

As the destruction of habitats due to recent development continues, there is also increasing interest in endangered species. Mankyua chejuense is a vulnerable species that is sensitive to changes in population and habitat, and it has recently been upgraded from Endangered Species II to Endangered Species I, requiring significant management efforts. So in this study, we analyzed the potential habitats of Mankyua chejuense using MaxEnt(Maximum Entropy) modeling. We developed three models: one that considered only environmental characteristics, one that considered artificial factors, and one that reflected the habitat of dominant tree species in the overstory. Based on previous studies, we incorporated environmental and human influence factors for the habitats of Mankyua chejuense into spatial information, and we also used the habitat distribution models of dominant tree species, including Ulmus parvifolia, Maclura tricuspidata, and Ligustrum obtusifolium, that have been previously identified as major overstory species of Mankyua chejuense. Our analysis revealed that rock exposure, elevation, slope, forest type, building density, and soil type were the main factors determining the potential habitat of Mankyua chejuense. Differences among the three models were observed in the edges of the habitats due to human influence factors, and results varied depending on the similarity of the habitats of Mankyua chejuense and the dominant tree species in the overstory. The potential habitats of Mankyua chejuense presented in this study include areas where the species could potentially inhabit in addition to existing habitats. Therefore, these results can be used for the conservation and management planning of Mankyua chejuense.

• Annual Conference of KIPS
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• 2022.11a
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• pp.377-379
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• 2022

POI refers to the point of Interest in Location-Based Social Networks (LBSNs). With the rapid development of mobile devices, GPS, and the Web (web2.0 and 3.0), LBSNs have attracted many users to share their information, physical location (real-time location), and interesting places. The tremendous demand of the user in LBSNs leads the recommendation systems (RSs) to become more widespread attention. Recommendation systems assist users in discovering interesting local attractions or facilities and help social network service (SNS) providers based on user locations. Therefore, it plays a vital role in LBSNs, namely POI recommendation system. In the machine learning model, most of the training data are stored in the centralized data storage, so information that belongs to the user will store in the centralized storage, and users may face privacy issues. Moreover, sharing the information may have safety concerns because of uploading or sharing their real-time location with others through social network media. According to the privacy concern issue, the paper proposes a recommendation model to prevent user privacy and eliminate traditional RS problems such as cold-start and data sparsity.