• 한국대기환경학회지
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• 제26권5호
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• pp.517-532
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• 2010

After establishment of Banwol industrial complex in 1987, Ansan city becomes the largest industrial sector development in Gyeonggi-do, Korea. As the population and industrial activity grow over this region, toxic air pollutants, particularly POPs (Persistent Organic Pollutants) from various emission sources have been major public concerns. Air samples for POPs monitoring were collected at the industrial sites ($A_2$), residential sites ($B_1$, $B_2$), commercial site (C), and rural/remote site (D) of the area of Ansan during 2008 with a prolonged industrial sampling site $A_1$ from 2001 to 2008. All samples were analysed for 2,3,7,8 substituted-polychlorinated dibenzo-p-dioxin and dibenzofurans (PCDD/Fs) and dioxin like polychlorinatd diphenyls (dl-PCBs). In site $A_1$, a steady decline of their concentrations from 2003 to 2008 was observed due to the reinforced emission guideline from waste incinerators. The average concentration of the PCDD/Fs and dl-PCBs ranged between 0.118 pg-TEQ/$m^3$ (rural/remote site D) and 0.532 pg-TEQ/$m^3$ (industrial area $A_2$). These level were generally consistent with previous studies in Gyeonggi-do, while higher than other places. Most of PCDD/Fs congener were partitioned into particle phase, whereas dl-PCBs were partitioned into gas phase. The logarithm of gas-particle partition coefficient $K_P$ of dl-PCBs and PCDD/Fs were well correlated with sub-cooled liquid vapor pressure $P_L$. The slope $m_T$ of log $K_P$ versus log $P_L$ for PCDD/Fs (-1.22) and dl-PCBs (-1.02) in industrial area ($A_2$) were high compared to other residential/commercial area. It suggests that this area was likely influenced by the direct emission source of PCDD/Fs and dl-PCBs. To simulate the partition of PCDD/Fs and dl-PCBs between gas and particle phase, Junge-Pankow model ($P_L$-base) and $K_{oa}$ model were applied. It was found that J-P model was more suitable than the $K_{oa}$ model in this study.

• 한국경제지리학회지
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• 제23권3호
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• pp.334-348
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• 2020

최근 도시내 기업입지수요가 증가하나 도시에서 넓은 부지확보는 어려우므로 소규모 '미니산업단지' 형태가 미래형 산단 유형으로 적절할 것이다. 수도권지역을 대상으로 저활용되는 부지를 잠재적 개발후보지로 가정하고 입지적합성 평가지표를 적용하여 시범 평가해 보았다. 전문가와 기업체설문을 통해 지표간 중요도를 분석한 후 이를 가중치로 하여 1~4등급 후보지를 구분하였다. 1등급 후보지에 영향을 미친 지표로는 기업체 가중치를 적용한 경우 교통접근성과 도시서비스 여건인 반면 전문가 가중치 적용경우 첨단·지식산업 및 대학·연구소로 나타났다. GIS 분석 결과 서울-경기남부축과 서울-경기남서부축이 가장 우수한 미니산단 입지지역으로 도출되어 기형성된 지식산업집적지가 향후에도 경쟁력있는 산업지역으로 인식되는 것으로 조사된다.

• The Korean Journal of Ecology
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• 제28권5호
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• pp.321-326
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• 2005

안산 공단지대에 식재되어 있는 잣나무와 리기다소나무의 생장 저하의 실태와 그 원인을 구명하기 위하여 생장 및 생리학적 반응을 중심으로 대조구와 비교 고찰하였다. 피해구에 식재 되어 있는 두 수종의 침엽 내 Mn, F 그리고 Cl의 농도는 대조구에 비하여 유의적으로 높았으며, 2년생 3년생으로 갈수록 급격히 그 농도가 증가하였다. 또한 필수 영양 원소인 P와 클로로필 함량은 피해구가 대조구에 비하여 유의적으로 감소하였으며, 또한 침엽의 연령이 증가함에 따라 급격히 감소하였음을 알 수 있었다. 한편, 피해구에 식재되어 있는 두 수종의 최대 광합성률, 양자수율$(\Phi)$, 카르복실레이션효율(CE)등의 광합성 능은 대조구에 비하여 현저히 감소하였다. 이상과 같이 독성 원소의 축적 및 필수 영양 원소의 부족 등 환경 스트레스에 의한 수목 생리활동의 저하가 수목 생장 저하의 직접적인 원인으로 판단된다.

• 품질경영학회지
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• 제45권4호
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• pp.677-696
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• 2017

Purpose: This study suggests that Six Sigma MBB should be used as a key talent to lead the fourth industrial revolution era by training them with big data processing capability. Methods: Through the analysis between articles on the fourth industrial revolution and Six Sigma related papers, common competencies of data scientists and Six Sigma MBBs were identified and the big data analysis capabilities needed for Six Sigma MBB were derived. Then, training was conducted to improve the big data analysis capabilities so that Six Sigma MBB is able to design algorithms required in the fourth industrial revolution era. Results: Six Sigma MBBs, equipped with the knowledge in field site improvement and basic statistics, were provided with 40 hours of big data analysis training and then were made to design a big data algorithm. Positive results were obtained after applying a AI algorithm which could forecast process defects in a field site. Conclusion: Six Sigma MBB equipped with big data capability will make the best talent for the fourth industrial revolution era. A Six Sigma MBB has an excellent capability for improving field sites. Utilizing the competencies of MBB can be a key to success in the fourth industrial revolution. We hope that the results of this study will be shared with many companies and many more improved case studies will arise in the future as a result of this study.

• 한국산업정보학회논문지
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• 제11권5호
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• pp.245-260
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• 2006

최근 e-러닝은 급속히 확산되고 있는 추세이며 이에 따른 이슈 중 하나가 e-러닝 사이트에 대한 서비스품질 즉, 제공하는 사이트의 서비스품질이 사용자들에게 얼마만큼의 학습성과를 통한 만족을 가져다 줄 수 있는 지에 관한 것이다. 본 연구에서는 e-러닝의 사업 분류 중 일반인과 학생을 교육대상으로 하는 B2C e-러닝 사이트의 서비스품절 결정요인을 구성하고 개인성과를 매개로 사용자만족과 재이용의향에 어떠한 영향을 미치는 지를 실증분석 하였다. 이러한 연구목적에 따른 결과를 토대로 e-러닝의 실질적인 활성화를 위해 우선적으로 고려해야 할 사항들과 전략적 시사점을 제시하였다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 추계 학술논문 발표대회
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• pp.132-133
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• 2018

Many studies regarding construction safety management have been conducted. However, it is insufficient to research on external construction site. As a result, ordinary people around the construction site have injured and have a negative view when they think construction industrial since it has regarded having an overfull industrial accidents on media. To break the stereotype and prevention of accident on construction industry have been emphasized at this point in time, it is necessary to establish a comprehensive safety management system which is considered not only internal safety management but also external safety management. Therefore, the objective of this study is to develop the human accident risk quantification model by utilizing the third party payout data which occurred by incomplete safety management on external construction site. This study is conducted as a basic study for developing safety management manuals on internal·external construct site. In the future, it is expected to be used as a reference.

• 한국산업정보학회논문지
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• 제12권5호
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• pp.146-162
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• 2007

본 연구에서는 e-러닝 사이트가 웹 사이트라는 특성을 고려해서 웹 서비스품질의 주요 요인을 추가로 도출하여 e-러닝 사이트의 서비스품질 결정요인을 구성하고, 서비스품질이 고객만족 및 고객 e-로열티에 어떠한 영향을 미치는 지를 실증 분석하였다. 그 결과 유형성, 신뢰성, 반응성, 사용편리성, 개인화 요인이 고객만족 및 고객 e-로열티에 유의한 영향을 미치는 것으로 나타났다. 이러한 연구목적에 따른 결과를 토대로 e-러닝 사이트 운영자가 고객만족 및 고객 e-로열티 형성을 위해 최우선적으로 고려해야 할 요인들과 전략적 시사점을 제시하고자 한다.

• 한국산학기술학회논문지
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• 제12권12호
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• pp.5614-5621
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• 2011

본 연구의 목적은 전원주택단지 수요자들의 입주선호요인을 파악하여 부산지역에 적절한 전원주택단지의 수요촉진방안을 찾아보는데 있다. 실증분석을 통하여 전원주택단지는 시장수요에 근거한 커뮤니티에 초점이 두어져야 하고, 도시근교에 편의시설과 인접한곳에 위치해야하며, 공동체시설이 적용되어야한다는 결론을 얻었다.

• Nuclear Engineering and Technology
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• 제53권5호
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• pp.1723-1729
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• 2021

Energy and directional distribution of neutrons at the Beloyarsk NPP workplaces is a subject of this study. Measurements of H^*(10) rate and neutron energy distribution were taken at 8 workplaces, which can be divided into three categories: work with spent or fresh nuclear fuel, work with radionuclide neutron sources, work at the rooms adjusted to reactors. The Hp(10) measurements were performed only at 6 out of 8 locations, due to the fact that long term placing of an effective neutron moderator in fresh nuclear fuel storage facility is forbidden. As a result of the research energy and direction distribution of the neutron fields at 8 locations of the Beloyarsk NPP workplaces was obtained. To estimate the accuracy of the H^*(10) rate and Hp (10) measurements the reference values of dose equivalents were calculated using energy and directional distribution. To take into account the difference between the reference values and the measured results site-specific correction factors were calculated.

• 대한산업공학회지
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• 제43권1호
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• pp.62-71
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• 2017

In order to attract foreign tourists, it is important to understand what factors on domestic tour spots are critically considered and how they are evaluated after visit. However, most of the researches on tour business have collected information from tourists through survey on a small number of tourists, which leads to inaccurate and biased conclusion. In this paper, we suggest a data-driven methodology to figure out tourists' satisfaction factors and estimate sentiment scores on them. To do so, we collected review comments data from popular web site. Latent dirichlet allocation is employed to extract key factors and elastic net is used to estimate sentiment scores. Then, an aggregated evaluation score is generated by combining the factors and the sentiment scores per topics. Our proposed method can be used to recommend travel schedules with themes and discover new spots.