• Journal of the Economic Geographical Society of Korea
• /
• v.20 no.2
• /
• pp.228-244
• /
• 2017

This paper aims to evaluate the Industrial Complex Campus Program and to provide policy recommendations for promoting effectiveness of industrial complex campuses through the in-depth case study on the Changwon Industrial Complex Campus Program. The survey shows that the program contributes to not only strengthening the R&D capacities of SMEs within the cluster, but also promoting the interactions between local companies and local universities. But it claims that the industrial complex campus program reveals some limitations to supporting effectively local enterprises. First, It is necessary to maintain regional balance in terms of the sites of the implementation of the program. Second, the policy management plan and the monitoring system of the program should be established for the purpose of the self-reliance of industrial complex campuses, regardless of the government financial support.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.10a
• /
• pp.951-953
• /
• 2012

The industry field training course are offered a opportunities for industrial experience to students and Companies can take advantage of advanced workforce with minimum cost. Universities are taking a new collaborative educational systems that require on-site industry for the 21st century. Therefore, in this thesis, We intended to analyze factors influencing satisfaction of people studying in a situation that industry field training has been required to be a mainstream system of education in the midst of trend of changing paradigm of university education recently, and to suggest some possible solutions for industry field training at industrial complex campus.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.05a
• /
• pp.895-897
• /
• 2013

The Capstone design, has become one of the most important topics in engineering education. The Capstone Design a course with a different format from the traditional form of education and, by integrating the training learned in the course of expertise. Through it, you will learn how to analyze and design solutions to possible problems arising from industry. It can improve the practical skills required in the industry. The students can participate in the educational process according to the pre-prepared curriculum, rather than passively receiving the education in the form of an active. In this paper, we check the operating status for the Capstone Design Education. The future, through the satisfaction evaluation model Capstone Design Capstone Design effective management plan is presented.

• Proceedings of the KIPE Conference
• /
• 2019.11a
• /
• pp.236-238
• /
• 2019

국내 마이크로그리드는 실증단지, 도서지역, 캠퍼스, 산업단지등에 구축되고 있다. 특히 산업단지는 수용가의 전기에너지 이용 효율화와 신재생에너지 전원을 활용한 전력거래를 위해 마이크로그리드를 구축하는 추세이다. 본 논문에서는 ESS(Energy Storage System) 복합운영을 통한 비용절감과 전력거래 수익창출 실증을 위하여 나주혁신도시 동수산업단지 내계통과 연계된 제조업체(태산, 범한, 하이옥스)에 구축되는 마이크로그리드 경제성을 분석한다. 경제성 분석 툴인 HOMER를 이용하여 각 업체별 PV(PhotoVoltaic) 및 ESS용량에 따른 순 현재비용과 1[kWh]당 발전단가를 산출한다. 경제성 분석을 위해 각 제조업체의 최근 1년간 부하량과 산업용 전기요금기준, 기업체 소재지의 기후조건에 따른 태양광발전량, 각 기업체 마이크로그리드 실제구축비용을 입력하고, 공인할인율 5.5[%]와 유류비 1500[원/ℓ]를 기준으로 경제성을 분석한다. 분석을 바탕으로 개별 제조업체 부하 특성에 부합한 마이크로그리드 분산전원 및 설비 용량 선정과 운영방안을 제안한다.

• Journal of the Economic Geographical Society of Korea
• /
• v.20 no.2
• /
• pp.214-227
• /
• 2017

There is an increasing attention by scholars and policy makers that university campus can be the key space for the location of high-tech companies and research facilities as well as the promotion of university-industry collaboration activities. There is a tendency that science parks in the UK have a close connection with neighboring universities on the basis of university-industry collaboration activities. Moreover, the role and importance of the university in the evolution process of science parks has been rapidly increased since the 1990's. Recently, the UK government started to push ahead with the university enterprise zone programme, as a new type of enterprise zone, in order to promote university-industry collaboration and local economic development. In this regard, the Korean government also needs to pay attention to the new role of universities, especially universities located in non-capital areas, for not only strengthening the competitiveness of universities, but also fostering regional and national economic development.

• Journal of Practical Engineering Education
• /
• v.9 no.1
• /
• pp.69-75
• /
• 2017

In this paper, we analyzed the factors influencing the size of Korea Polytechnic as a public vocational education and training institution through analysis of demand, region, industry, and demand with established existing campus and new campus in Korea Polytechnic. By analyzing data on admission, training, and employment for 3 years out of 37 campuses, we have sampled 5 campuses by type of Korea Polytechnic, fused with the results derived from the literature analysis and in-depth analysis results, so that the regional campus will play a leading role and the direction of development. The selection of five campuses by type is a precedent study to analyze 37 campuses in the future. As a result of the study, the demand analysis through objective indicators such as the number of high school graduates, the number of employed persons, the presence of nearby industrial complexes, and policy variables is very important and reflects the reality well. Therefore, it is necessary to analyze the demand through the objective indicators in decision making related to the new campus at the pre-analysis stage. In addition to the general data proposed in this paper, that is, common variables in all regions, it is important to consider the factors that can reflect local demand characteristics when considering specific locations.

• Korean Chemical Engineering Research
• /
• v.61 no.1
• /
• pp.142-154
• /
• 2023

As the importance of the environment has been recognized worldwide, the need to calculate and reduce carbon emissions has been drawing an increasing attention throughout various industrial sections. Thereby the discipline of LCA (Life Cycle Assessment) involving raw material preparation, production processes, transportation and installation has been established. There is a clear research gap between the need and the practice for Korean Case of renewable energy industry, particularly wind power. To bridge the gap, this study conducted LCA research on wind power generation in the Korean area of Yeongdeok, an example of a domestic onshor wind power complex using SimaPro, which is the most widely used LCA system. As a result of the study, the energy recovery period (EPT) of one wind turbine is about 10 months, and the GHG emitted to generate power of 1 kwh is 15 g CO₂/kWh, which is competitive compared to other energy sources. In the environmental impact assessment by component, the results showed that the tower of wind turbines had the greatest impact on various environmental impact sectors. The experience gained in this study can be further used in strengthening the introduction of renewable energy and reducing the carbon emission in line with reducing climate change.

• Journal of Wetlands Research
• /
• v.25 no.4
• /
• pp.306-314
• /
• 2023

Stream sediments are an important component of water quality management because they are receptors of various pollutants such as heavy metals and organic matters emitted from upland sources and can be secondary pollution sources, adversely affecting water environment. To effectively manage the stream sediments, identification of primary sources of sediment contamination and source-associated control strategies will be required. We evaluated the performance of machine learning models in identifying primary sources of sediment contamination based on the physico-chemical properties of stream sediments. A total of 356 stream sediment data sets of 18 quality parameters including 10 heavy metal species(Cd, Cu, Pb, Ni, As, Zn, Cr, Hg, Li, and Al), 3 soil parameters(clay, silt, and sand fractions), and 5 water quality parameters(water content, loss on ignition, total organic carbon, total nitrogen, and total phosphorous) were collected near abandoned metal mines and industrial complexes across the four major river basins in Korea. Two machine learning algorithms, linear discriminant analysis (LDA) and support vector machine (SVM) classifiers were used to classify the sediments into four cases of different combinations of the sampling period and locations (i.e., mine in dry season, mine in wet season, industrial complex in dry season, and　industrial complex in wet season). Both models showed good performance in the classification, with SVM outperformed LDA; the accuracy values of LDA and SVM were 79.5% and 88.1%, respectively. An SVM ensemble model was used for multi-label classification of the multiple contamination sources inlcuding landuses in the upland areas within 1 km radius from the sampling sites. The results showed that the multi-label classifier was comparable performance with sinlgle-label SVM in classifying mines and industrial complexes, but was less accurate in classifying dominant land uses (50~60%). The poor performance of the multi-label SVM is likely due to the overfitting caused by small data sets compared to the complexity of the model. A larger data set might increase the performance of the machine learning models in identifying contamination sources.