• 대한공업교육학회지
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• v.44 no.1
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• pp.72-93
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• 2019

The purpose of this study was to provide basic data needed to establish a system of career education which can offer necessary information for middle school students to select vocational high schools suiting to their talent and aptitude. For this, the study formulated research questions: how middle school students in Gyeonggi-do could acquire information related with entering high school; their level of understanding about general high school and vocational high school and their level of information requirement; real state and effect (level of helping them choose future school) of assistance activity for career education as provided by vocational high schools. For the analysis, the study developed a questionnaire and conducted survey for 4,459 3rd graders from 627 middle schools at Gyeonggi-do. Findings were as follows. First, methods of middle school students getting information related with entering high school turned out in the order of internet search (42.0%), consultation with family and friends (25.5%), consultation with teachers (24.0%). While, their methods of getting information related with entering vocational high school turned out in the order of briefing session by vocational high schools (39.4%), field trip to vocational high schools (24.9%), consultation with teachers from vocational high schools (15.7%). Second, the level of understanding (five points full marks) of Gyeonggi-do middle school students about high school by the type they wished to enter, and the level of information requirement (five points full marks) turned out 3.65 and 3.67 respectively for students who wished to enter general high schools, with the difference being 0.02. On the other hand, the level of understanding and that of information requirement turned out 2.92 and 3.25 respectively with the difference being 0.33, for students who wished to enter vocational high schools. Third, looking at the real state of participation of Gyeonggi-do middle school students in assistance activities for career education provided by vocational high schools, 79.4% of all students were participating. Activity with high participation ratio out of these turned out to be in the order of PR and guide book (booklet, brochure, etc.) for vocational high schools at 90.3%, briefing session prepared by vocational high schools on visit at 87.8% and video of vocational high school PR and introduction at 85.9%. The level of how these activities helped middle school students choose their high school was 3.45, showing more effect by 0.13 on students wishing to enter vocational high schools compared to those wishing to enter general high schools.

• Korean Journal of Heritage: History & Science
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• v.55 no.2
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• pp.82-100
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• 2022

With the crisis of the COVID-19 pandemic and the era of the 4th industrial revolution, archaeological heritage education has entered a new phase. This article responds to the trends in the post-COVID-19 era, seeking ways to develop archaeological heritage education and sustainable strategies necessary in the era of the 4th industrial revolution. The program of archaeological heritage education required in the era of the 4th industrial revolution must cultivate creative talent, solve problems, and improve self-efficacy. It should also draw attention to archaeological heritage maker education. Such maker education should be delivered based on constructivism and be designed by setting specific learning goals in consideration of various age-specific characteristics. Moreover, various ICT-based contents applying VR, AR, cloud, and drone imaging technologies should be developed and expanded, and, above all, ontact digital education(real-time virtual learning) should seek ways to revitalize communities capable of interactive communication in non-face-to-face situations. The development of such ancient heritage content needs to add AI functions that consider learners' interests, learning abilities, and learning purposes while producing various convergent contents from the standpoint of "cultural collage." Online archaeological heritage content education should be delivered following prior learning or with supplementary learning in consideration of motivation or field learning to access the real thing in the future. Ultimately, archaeological ontact education will be delivered using cutting-edge technologies that reflect the current trends. In conjunction with this, continuous efforts are needed for constructive learning that enables discovery and question-exploration.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.1-22
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• 2022

This study was conducted based on the service philosophy as a study to capitalize on the wisdom of Korea and Koreans. This is a study that capitalizes on the wisdom of the founding president who led civilization changes in Korea. Wisdom as a visionary leader who played a leading role in Korea's development from a continental civilization to a maritime civilization was derived. We analyzed the wisdom of the founding president, who established the Republic of Korea with a new identity as a liberal democracy and protected it, and laid the foundation for Korea to leap into an advanced country through legal system reform and human resource development. First, we analyzed the essence of politics and presented the essential tragic nature that visionary leaders must bear as politicians. We also analyzes his courage and belief to accept a tragic fate, the insights on the spirit of independence, anti-communism, liberal democracy and the future. We analyze the wisdom as a visionary leader that is consistently revealed through countless choices and decisions to give up. It suggests that such wisdom is essential for the founding and development of a nation, and the wisdom need to be assetized. It needs a solid philosophical foundation to become a useful wisdom asset in the long run. In this study, Syngman Rhee's wisdom was assetized on the basis of the service philosophy. This is because it is wisdom based on the fiercely symmetrical balance principle. Human resource development was a choice that entailed great sacrifice, the market economy was a choice that entailed great sacrifice, and the protection of liberal democracy was also a choice that entailed great sacrifice, so it can be said that it is wisdom that fits the essence of the service philosophy. It is wisdom found only in outstanding visionary leaders. We present the wisdom of building a free democratic country, the wisdom of building a free market economy, and the wisdom of building a talent-oriented nation as assets in terms of national management philosophy, national management owner, time frame, and strategic asset. It also suggests that visionary leaders are continuously required for the long-term sustainable development of mankind and Korean society.

• Journal of Korea Water Resources Association
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• v.55 no.spc1
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• pp.1251-1260
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• 2022

Recently, due to the deterioration of watermains and the detachment of scale which is accumulated on the watermain surface, water quality accidents in a water supply network occur frequently. As scale accumulated on watermains is stabilized, it may not cause water quality accidents under the normal operating condition. However, due to water hammer or transient flow caused by the abrupt velocity and/or direction of flow change, it can be detached from the watermain surface resulting in water quality accidents. To prevent these kinds of water quality accidents, it is required to remove scale by watermain cleaning regularly. Many researches about flushing which is the most popular water cleaning method are focused on the desirable velocity criteria and the cleaning condition to accomplish the effect of flushing whereas less amount of research effort is given to develop a method to consider whether the desirable velocity for flushing can be obtained before flushing is performed. During flushing, the major and minor headloss is occurred when flushing water flows through a hydrant or drain valve. These headloss may slow down the velocity of flushing water so that it can reduce the flushing effect. Thus, in this study, we suggest a method to simulate the flow velocity of flushing water using "MinorLoss Coefficient" and "Emitter Coefficient" in EPANET. The suggested method is applied to a sample network and the water supply network of "A" city in Korea to compare the flushing effect between "flushing through a hydrant" and "flushing through a drain valve". In case of "flushing through a hydrant", if the hydraulic condition ocurring from a watermain pipe connecting to the inlet pipe of a hydrant to the outlet of a hydrant is not considered, the actual flowrate and velocity of a flow is less than the simulated flowrate and velocity of a flow. In case of "flushing through a drain valve", the flushing velocity and flowrate can be easily simulated and the difference between the simulated and the actual velocity and flowrate is not significant. Also, "flushing through a drain valve" is very effective to flushing a long-length pipe section because of its efficiency to obtain the flushing velocity. However, the number and location of a drain valve is limited compared to a hydrant so that "flushing through a drain valve" has a limited application in the field. For this reason, the engineer should consider various field conditions to come up with a proper flushing plan.

• Korea Science and Art Forum
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• v.30
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• pp.151-161
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• 2017

In the fields of science and engineering, multidisciplinary research is common, and researchers with a diverse range of expertise collaborate to achieve common goals. As the 4th industrial revolution gains currency in society, there is growing demand on talented personnel both with technical knowledge and skills and with communicative skills. That is, future engineers are expected to possess competence in social and artistic skills in addition to specialized knowledge and skills in engineering. In this paper we introduce an emerging field of 3D bioprinting as an exemplary case of interdisciplinary research. We have chosen the case to demonstrate the possibility of cultivating engineers with π-shaped expertise. Building on the concept of T-shaped talent, we define π-shaped expertise as having both technical skills in more than one specialized field and interpersonal/communicative skills. Wtih references to such concepts as trading zones and interactional expertise, we suggest that π-shaped expertise can be cultivated via the creation of multi-level trading zones. Trading zones are referred to as the physical, conceptual, or metaphorical spaces in which experts with different world views trade ideas, objects, and the like. Interactional expertise is cultivated, as interactions between researches are under way, with growing understanding of each other's expertise. Under the support of the university and the government, two researchers with expertise in printing technology and life sciences cooperate to develop a 3D bioprinting system. And the primary investigator of the research laboratory under study has aimed to create multiple dimensions of trading zones where researchers with different educational and cultural backgrounds can exchange ideas and interact with each other. As 3D bioprinting has taken shape, we have found that a new form of expertise, namely π-shaped expertise is formed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.115-128
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• 2022

This research aims to analyze of the Effect of Army Start-up Support Program (hereinafter, ASSP) on the level of discharged or scheduled to be discharged soldier's satisfaction of their military service. In addition, this paper also seeks to elaborate on how those Army-supported programs, such as Start-up competitions, mentoring, camp, and school, can increase the level of military service satisfaction. By participating in those programs, service members can leverage their time in the military to make opportunity for their future career rather than consider it as a career break, increasing their military service satisfaction. Finally, on the basis of findings, this paper advocates for expanding Service Members startup Support Program of government agencies and municipalities and enhancing younger population's individual capabilities through ASSP. This research used ASSPs, such as Army Start-up competitions, mentoring, camp, and school, as independent variables. For controlled variables, this paper takes demographic elements such as status and career path of the participants. Our empirical analysis reveals that ASSP has a direct impact on the military service satisfaction, supported by the statistics from the hierarchical regression analysis. However, the research also suggests that individual' military service satisfaction from ASSP may differ from one another in accordance with the controlled variables such as status and career of the participants. This paper proves that ASSP can play a substantial role in enhancing service members' capabilities during their time in military and that Army fosters talent and connects itself to the nation and society. In addition, this research could contribute to increasing employment rate of and expanding Start-up support program of government agencies and municipalities for younger population by providing empirical results which advocates the latter's necessity.

• Journal of Korea Water Resources Association
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• v.57 no.7
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• pp.437-449
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• 2024

Rainfall-runoff prediction studies using deep learning while considering catchment attributes have been gaining attention. In this study, we selected two models: the Transformer model, which is suitable for large-scale data training through the self-attention mechanism, and the LSTM-based multi-state-vector sequence-to-sequence (LSTM-MSV-S2S) model with an encoder-decoder structure. These models were constructed to incorporate catchment attributes and predict the inflow of 10 multi-purpose dam watersheds in South Korea. The experimental design consisted of three training methods: Single-basin Training (ST), Pretraining (PT), and Pretraining-Finetuning (PT-FT). The input data for the models included 10 selected watershed attributes along with meteorological data. The inflow prediction performance was compared based on the training methods. The results showed that the Transformer model outperformed the LSTM-MSV-S2S model when using the PT and PT-FT methods, with the PT-FT method yielding the highest performance. The LSTM-MSV-S2S model showed better performance than the Transformer when using the ST method; however, it showed lower performance when using the PT and PT-FT methods. Additionally, the embedding layer activation vectors and raw catchment attributes were used to cluster watersheds and analyze whether the models learned the similarities between them. The Transformer model demonstrated improved performance among watersheds with similar activation vectors, proving that utilizing information from other pre-trained watersheds enhances the prediction performance. This study compared the suitable models and training methods for each multi-purpose dam and highlighted the necessity of constructing deep learning models using PT and PT-FT methods for domestic watersheds. Furthermore, the results confirmed that the Transformer model outperforms the LSTM-MSV-S2S model when applying PT and PT-FT methods.

• Korean Journal of Remote Sensing
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• v.40 no.4
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• pp.351-361
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• 2024

Satellite imagery contains various elements such as clouds, cloud shadows, and terrain shadows. Accurately identifying and eliminating these factors that complicate satellite image analysis is essential for maintaining the reliability of remote sensing imagery. For this reason, satellites such as Landsat-8, Sentinel-2, and Compact Advanced Satellite 500-1 (CAS500-1) provide Usable Data Masks(UDMs)with images as part of their Analysis Ready Data (ARD) product. Precise detection of clouds and their shadows is crucial for the accurate construction of these UDMs. Existing cloud and their shadow detection methods are categorized into threshold-based methods and Artificial Intelligence (AI)-based methods. Recently, AI-based methods, particularly deep learning networks, have been preferred due to their advantage in handling large datasets. This study aims to analyze the applicability of constructing UDMs for high-resolution satellite images through deep learning-based cloud and their shadow detection using open-source datasets. To validate the performance of the deep learning network, we compared the detection results generated by the network with pre-existing UDMs from Landsat-8, Sentinel-2, and CAS500-1 satellite images. The results demonstrated that high accuracy in the detection outcomes produced by the deep learning network. Additionally, we applied the network to detect cloud and their shadow in KOMPSAT-3/3A images, which do not provide UDMs. The experiment confirmed that the deep learning network effectively detected cloud and their shadow in high-resolution satellite images. Through this, we could demonstrate the applicability that UDM data for high-resolution satellite imagery can be constructed using the deep learning network.