• Journal of Korean Elementary Science Education
• /
• v.41 no.3
• /
• pp.480-500
• /
• 2022

In this study, the perception and demands on the use of realistic content were analyzed through in-depth interviews with elementary school teachers experienced in using realistic content in science classes. Specifically, the following questions were investigated: (1) What kind of realistic content and how do elementary school teachers use it in science classes? (2) What are the perceptions and difficulties of elementary school teachers regarding the use of realistic content in science classes? (3) What are the needs of elementary school teachers related to the professional development program for the use of realistic content in science classes? The study revealed the following results. First, elementary school teachers mainly used digital textbooks and realistic content provided by the "Science Level Up" site, and the content types could be classified into "exploration type," "visit type," and "production type," according to the purpose of use. Second, elementary school teachers mentioned the educational advantages of using realistic content to help students understand scientific content, induce interest and curiosity, and become immersed in a sense of reality. Several difficulties related to the use of realistic content were mentioned. Among them, the lack of high-quality educational content suitable for science classes and a lack of examples of specific class cases that use realistic content stood out. Thirdly, regarding the development of teacher expertise to use realistic content, elementary school teachers emphasized the need for information on quality realistic content; teacher training centered on specific class cases; instructional models that can be applied by realistic content type; and information on the purchase, use, management, and operation of necessary devices. Reflecting on these research results, implications for more effective use of realistic content in elementary science classes were discussed.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.1
• /
• pp.111-118
• /
• 2023

The purpose of this study is to study jewelry designs presented to general consumers who seek new products and diversity. We would like to present a modular jewelry design with a structure and combination method that is distinct from jewelry in a multimodal replacement method that allows various product modules sold in the past to be worn interchangeably. Problems are likely to occur when a number of existing rather small parts are manufactured in a complex combination method, and difficulties may follow when consumers replace decorative parts and lose them in the process of assembling small fixture parts. Therefore, in order to reduce these problems, we try to make it different from jewelry products made with a simple and simple design so that it can be easily replaced and worn without the need for other coupling parts, and produced using the latest 3D printer (Rapid Prototyping). In this study, based on the experience and know-how gained while engaging in field work, it was possible to make a real object and focused on minimizing problems during the production process, and through this, time and economic loss can be reduced. The purpose of the study is to produce improved jewelry products by expressing more sophisticated and differentiated shapes by using 3D programs (CAD).

• The Journal of Korean Academy of Prosthodontics
• /
• v.61 no.2
• /
• pp.153-159
• /
• 2023

Computer-aided design-computer-aided manufacturing technology has been widely used in the manufacture of fixed prostheses including implants, but in the case of removable dentures, the analog method is still being used due to the errors such as a lack of fusion and over-fusion in selective laser meting process. With the recent development of CAD software, virtual surveying and framework design are made possible, and the designed file can be manufactured by milling or 3D printing. It replace the analog method of waxing and denture curing process and also can reduce the production time and cost. Therefore, this case is reported because good clinical results were obtained by digitally surveying on CAD software to produce a surveyed metal restoration and framework on maxillary and mandibular removable dentures.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.3
• /
• pp.399-406
• /
• 2023

Due to the increasing influence of the Korean Wave, traditional themes are emerging to the forefront of performance content development, emphasizing the necessity of applying the art of storytelling to the creative process. The purpose of this research is to examine the differentiated costume design of the Pansori ballet "Dokkaeba! Dokkaeba!," developed through the implementation of storytelling in its performance creation process. Choreographers, writers, and costume designer collaborated throughout the storytelling process from planning to content creation. This resulted in a clarified depiction of the Dokkaebi as divine beings with transcendental powers who are simultaneously friendly and familiar entities, often appearing in the form of humans and objects. Accordingly, the costume design based on this collaborative storytelling deliberately avoided the appearance of Dokkaebi reminiscent of 'Kwimyeonwa' or Japanese 'Oni', typically expressed with horns or decorations, and instead implemented novel design elements, such as fusion Hanbok with a variety of dimensionally aesthetic accessories, meaningful color contrast in modern clothing, textural elements indirectly expressing character and transmogrification, and daily clothing attire to illustrate the humanized Dokkaebi. Therefore, this study seeks to contribute to the production of new performance art showcasing the Dokkaebi by identifying the diversity of expression and direction within costume design.

• Journal of Korea Entertainment Industry Association
• /
• v.10 no.4
• /
• pp.77-92
• /
• 2016

In this study, the relationship of images and sounds of the animations "Dots" and "Loops" which Norman McLaren animated with his Animated sound technique when he worked at Guggenheim museum at New York, are analyzed through the audiovisual analysis theory by Michel Chion, and through the theory of synchronism/asynchronism and parallelism/counterpoint by Siegfried Kracauer. For the results of the analysis, there are a few difference between "Dots" and "Loops" regarding the aspect of sound arrangement and expressive aspect of abstract animation. However, there are being of two main elements of sound, composing with monophony sound, making musical structure with sound effects, and the emphasizing of parallelism with synchronization bewteen images and sounds in common with both "Dots" and "Loops". In "Dots" and "Loops", there are close correlations between pitch of sound and arrangement/shape of image, between loudness of sound and size of image, and between length of sound and length/shape of image. The image and sound of "Dots" and "Loops" have equal relationship each other, rather than subordinate relationship according as image become sound and the sound become new image with the animated sound technique. "Dots" and "Loops" show tendency of minimal art and music video. Since these two films, and remind about the new approach to sound creation in today's animation production.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.276-279
• /
• 2022

The 4th industrial revolution refers to the transition to a knowledge society in which the production speed of knowledge is fast and the proportion of the knowledge industry is greatly increased. The reorganization of the industrial structure and the change of occupations and jobs due to new technologies are bringing about changes in education, and the development of digital technology has made education that is borderless, individual and dynamic, becoming the new standard of education. With these changes, interest in nano-degrees on new technologies or micro-degrees focused on core courses rather than regular course degrees is increasing. As a representative example, Udacity in the United States has opened and operated online nanodegree courses related to jobs, and collaborates with major companies to develop and educate core training courses necessary for companies, thereby efficiently supporting companies in securing talent. With the revitalization of online vocational and job training, an environment has been prepared in which individuals can set goals for vocational competency development and continue their portfolio-based sustainable learning. However, for effective vocational education, automated and personalized educational content design should be preceded. To this end, in this paper, we propose a personalized career and course map recommendation system in the era of online learning

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.25 no.4
• /
• pp.446-454
• /
• 2023

The impact of climate change on agriculture is substantial, especially as global warming is projected to lead to varying temperature and humidity patterns in the future. These changes pose a higher risk for both crops and livestock, exposing them to environmental stressors under altered climatic conditions. Specifically, as temperatures are expected to rise, the risk of heat stress is assessable through the Temperature-Humidity Index (THI), derived from temperature and relative humidity data. This study involved the comparison of THI collected from 10 Korea Meteorological Administration ASOS stations spanning a 60-year period from 1961 to 2020. Moreover, high-resolution temperature and humidity distribution data from 1981 to 2020 were employed to generate high-resolution TH I distributions, analyzing temporal changes. Additionally, the number of days characterized by heat stress, derived from TH I, was compared over different time periods. Generally, TH I showed an upward trend over the past, albeit with varying rates across different locations. As TH I increased, the frequency of heat stress days also rose, indicating potential future cost increases in the livestock industry due to heat-related challenges. The findings emphasize the feasibility of evaluating heat stress risk in livestock using THI and underscore the need for research analyzing THI under future climate change scenarios.

• Smart Media Journal
• /
• v.13 no.6
• /
• pp.80-89
• /
• 2024

This study aims not only to address environmental issues caused by indiscriminate fashion consumption, specifically in the context of Fast Fashion but also to find an alternative and a sustainable solution that is 'Upcycling' using the 3D clothing simulation program Z-weave. Upcycling products have limitations in that it is difficult to produce samples since finished products must be produced directly with limited materials and resources like waste clothes. To overcome these limitations, a 3D clothing simulation program is introduced to effectively utilize the limited resources of waste clothing. The purpose of this study is to confirm the similarity between a virtual fabric created through Z-weave and a real fabric, through this, to evaluate the possibility of application in the actual fashion industry. As a research method, surveys and interviews were conducted with related majors on virtual clothing created as similar as possible to actual clothing by adjusting the physical properties within the Z-weave program. This study attempted to describe the impact of digital technology on the fashion industry and how 3D clothing simulation programs can be used in sustainable fashion production.

• Journal of Bio-Environment Control
• /
• v.27 no.2
• /
• pp.166-172
• /
• 2018

This study set out to conduct a field survey with smart greenhouse-based farms in seven types to figure out the actual state of smart greenhouses distributed across the nation before selecting a system to implement an optimal greenhouse environment and doing a research on higher productivity based on data related to crop growth, development, and environment. The findings show that the farms were close to an intelligent or advanced smart farm, given the main purposes of leading cases across the smart farm types found in the field. As for the age of farmers, those who were in their forties and sixties accounted for the biggest percentage, but those who were in their fifties or younger ran 21 farms that accounted for approximately 70.0%. The biggest number of farmers had a cultivation career of ten years or less. As for the greenhouse type, the 1-2W type accounted for 50.0%, and the multispan type accounted for 80.0% at 24 farms. As for crops they cultivated, only three farms cultivated flowers with the remaining farms growing only fruit vegetables, of which the tomato and paprika accounted for approximately 63.6%. As for control systems, approximately 77.4% (24 farms) used a domestic control system. As for the control method of a control system, three farms regulated temperature and humidity only with a control panel with the remaining farms adopting a digital control method to combine a panel with a computer. There were total nine environmental factors to measure and control including temperature. While all the surveyed farms measured temperature, the number of farms installing a ventilation or air flow fan or measuring the concentration of carbon dioxide was relatively small. As for a heating system, 46.7% of the farms used an electric boiler. In addition, hot water boilers, heat pumps, and lamp oil boilers were used. As for investment into a control system, there was a difference in the investment scale among the farms from 10 million won to 100 million won. As for difficulties with greenhouse management, the farmers complained about difficulties with using a smart phone and digital control system due to their old age and the utter absence of education and materials about smart greenhouse management. Those difficulties were followed by high fees paid to a consultant and system malfunction in the order.

• Journal of Intelligence and Information Systems
• /
• v.18 no.4
• /
• pp.43-57
• /
• 2012

To enhance the competitive advantage in a constantly changing business environment, an enterprise management must make the right decision in many business activities based on both internal and external information. Thus, providing accurate information plays a prominent role in management's decision making. Intuitively, historical data can provide a feasible estimate through the forecasting models. Therefore, if the service department can estimate the service quantity for the next period, the service department can then effectively control the inventory of service related resources such as human, parts, and other facilities. In addition, the production department can make load map for improving its product quality. Therefore, obtaining an accurate service forecast most likely appears to be critical to manufacturing companies. Numerous investigations addressing this problem have generally employed statistical methods, such as regression or autoregressive and moving average simulation. However, these methods are only efficient for data with are seasonal or cyclical. If the data are influenced by the special characteristics of product, they are not feasible. In our research, we propose a forecasting framework that predicts service demand of manufacturing organization by combining Case-based reasoning (CBR) and leveraging an unsupervised artificial neural network based clustering analysis (i.e., Self-Organizing Maps; SOM). We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the service forecasting domain. Our proposed approach has several appealing features : (1) We applied CBR and SOM in a new forecasting domain such as service demand forecasting. (2) We proposed our combined approach between CBR and SOM in order to overcome limitations of traditional statistical forecasting methods and We have developed a service forecasting tool based on the proposed approach using an unsupervised artificial neural network and Case-based reasoning. In this research, we conducted an empirical study on a real digital TV manufacturer (i.e., Company A). In addition, we have empirically evaluated the proposed approach and tool using real sales and service related data from digital TV manufacturer. In our empirical experiments, we intend to explore the performance of our proposed service forecasting framework when compared to the performances predicted by other two service forecasting methods; one is traditional CBR based forecasting model and the other is the existing service forecasting model used by Company A. We ran each service forecasting 144 times; each time, input data were randomly sampled for each service forecasting framework. To evaluate accuracy of forecasting results, we used Mean Absolute Percentage Error (MAPE) as primary performance measure in our experiments. We conducted one-way ANOVA test with the 144 measurements of MAPE for three different service forecasting approaches. For example, the F-ratio of MAPE for three different service forecasting approaches is 67.25 and the p-value is 0.000. This means that the difference between the MAPE of the three different service forecasting approaches is significant at the level of 0.000. Since there is a significant difference among the different service forecasting approaches, we conducted Tukey's HSD post hoc test to determine exactly which means of MAPE are significantly different from which other ones. In terms of MAPE, Tukey's HSD post hoc test grouped the three different service forecasting approaches into three different subsets in the following order: our proposed approach > traditional CBR-based service forecasting approach > the existing forecasting approach used by Company A. Consequently, our empirical experiments show that our proposed approach outperformed the traditional CBR based forecasting model and the existing service forecasting model used by Company A. The rest of this paper is organized as follows. Section 2 provides some research background information such as summary of CBR and SOM. Section 3 presents a hybrid service forecasting framework based on Case-based Reasoning and Self-Organizing Maps, while the empirical evaluation results are summarized in Section 4. Conclusion and future research directions are finally discussed in Section 5.