• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제9권8호
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• pp.181-188
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• 2020

수산업은 현재 전통어로어업에서 양식업으로 패러다임이 급속히 전환되고 있으며, 수산자원 고갈, 어촌 공동화에 따른 기반 약화 등 다양한 문제점에 직면하여 있다. 이를 타개하기 위한 수산업의 기반 강화, 어촌 6차산업화, 관련 기술표준 수립, 신산업 발굴 등을 위해서 수산업의 중심산업, 주변 산업의 데이터와 공공 및 민간의 유관 데이터를 모두 포함하는 수산업 빅데이터 플랫폼의 구축이 필요하다. 데이터 센터기관이 수집, 연계, 전처리를 수행하고, 플랫폼 주관 기관이 빅데이터 플랫폼 구축, 운영 및 데이터마켓을 통한 수산업 데이터 선순환 체계를 조성하여 당면 위기 극복 및 스마트 수산업 헤게모니 확보, 가치이동의 핵심열쇠로 활용하여야 한다. 본 연구를 통하여 이를 성공적으로 추진하기 위한 정책적·기술적 빅데이터 플랫폼 구축 방안에 대하여 제안하고자 한다.

• 한국태양에너지학회 논문집
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• 제34권5호
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• pp.109-115
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• 2014

The supply rate of renewable energy has been increasing under the influence of an energy scarcity. Government has supported the use of renewable energy by government subsidies. The operation of renewable may not been operating appropriately, although increasing the use of renewable energy. We found out some problems of the operation of renewable energy and offered some improvements. This research proposes the efficient operation method for the solar thermal system, and proposed operation method was compared and evaluated with existing operation strategy after selecting one building installed solar thermal system. Recently, the interest to renewable energy has increased because of the environmental issues and energy crisis. However the utilization of the renewable energy system is low because of the use of renewable energy system and existing renewable energy system independently, although supply rate of renewable system is increasing. Especially, in the case of solar thermal system heating load is not responsible for the load of hot water supply in many cases. Therefore, suggesting efficient operation plans and evaluations of the energy consumption and efficiency of a solar thermal system is needed.

• 한국동물위생학회지
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• 제29권4호
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• pp.459-467
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• 2006

This study was designed to investigate if there were groundwater contamination in 17 landfill where slaughtered animals were buried during the crisis of 2002 foot-and-mouth-disease (FMD) outbreaks in Gyeonggi province. From March to August 2005 groundwater was collected once a month from 17 sites, and examined with potential for hydrogen (pH), colour, turbidity, lead (Pb), arsenic (As), mercury (Hg), cadmium (Cd), copper (Cu), zinc (Zn) , iron (Fe), manganese (Mn) , aluminium (Al), nitrate-nitrogen $(NO_3-N)$, ammonia-nitrogen $(NH_3-N)$, microbial pathogen and Escherichia spp. In the examination of $NH_3-N$ which of the mean concentration was from not-detected (ND) to 0.05 mg/l. The range of $NH_3-N$ level was $0.3-24.1mg/{\ell}$. However, groundwater from four sites was to go beyond the drinking water quality standard (DWQS), i.e., the mean concentration of those were $15.5mg/{\ell}\;(site\;1),\;20.7mg/{\ell}\;(site\;9),\;24.1mg/{\ell}\;(site\;13)\;and\;10.6mg/{\ell}\;(site\;17)$. In the investigation of pH, colour and turbidity, all of the pH were below of DWQS (pH 5.8-6.6), but one site in color test and four sites in turbidity test were over the standard level. Among 9 metal ions examined, Mn was in excess of DWQS, and its concentration was $2.4mg/{\ell}$. Pb, Cd, Hg and As were not traced. The contents of Cu, Zn, Fe and Al were $ND-0.22mg/{\ell},\;0.01-0.05mg/{\ell},\;ND-0.05mg/{\ell}\;and\;0.03-0.16mg/{\ell}$, respectively. Escherichiae spp were not identified, but bacterial colonies were detected at 3 groundwater including 2 sites over the DWQS at the level of $491CFU/m{\ell}\;(site\;4)\;and\;217CFU/m{\ell}\;(site\;15)$.

• Smart Structures and Systems
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• 제22권4호
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• pp.433-440
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• 2018

Pavements porous concrete is a noble structure design in the urban management development generally enabling water to be permeated within its structure. It has also capable in the same time to cater dynamic loading. During the technology development, the quality and quantity of waste materials have led to a waste disposal crisis. Using recycled materials (secondary) instead of virgin ones (primary) have reduced landfill pressure and extraction demanding. This study has reviewed the waste materials (Recycled crushed glass (RCG), Steel slag, Steel fiber, Tires, Plastics, Recycled asphalt) used in the pavement porous concretes and report their respective mechanical, durability and permeability functions. Waste material usage in the partial cement replacement will cause the concrete production cost to be reduced; also, the concretes' mechanical features have slightly affected to eliminate the disposal waste materials defects and to use cement in Portland cement (PC) production. While the cement has been replaced by different industrial wastes, the compressive strength, flexural strength, split tensile strength and different PC permeability mixes have depended on the waste materials' type applied in PC production.

• 대한간호학회지
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• 제25권3호
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• pp.457-471
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• 1995

This research was done to promote improvement of practical application of nursing diagnoses and to improve the quality of nursing. The subjects of this research were 156 second year students of C junior nursing college who were giving adult patient care. The nursing diagnoses of 312 reports were analyzed using NANDA. In these case reports only nursing diagnoses were considered, of which there were a total of 982. In the data analysis the 9H of the nursing students' nursing diagnoses matched with 105 NANDA nursing diagnoses, Of these, the most frequent diagnoses were pain(165, 17.48%), anxiety(101, 10.70%), alteration in nutrition(83, 8.79%) , sleep disturbance (67, 7.10%), in activity intolerance (67, 7.10%), ineffective breathing pattern(51,5.40%). The etiology for the students' nursing diagnoses were compared with NANDA's nursing diagnoses by frequency. The most frequent etiology for the nursing diagnoses of pain was a biological etiology(50, 31%), for anxiety, situation crisis(58, 57.43%), for alteration in nutrition, indigesion(23, 27.71%), for sleep disturbance, external etiology(25, 37.32%), for activity intolerance, immobile position(22, 32.84%), for ineffective breathing pattern, pain(35, 68.63%), and for ,impaired physical mobility, pain(31, 65.96%). The most frequent etiology for constipation was inadquate digestion of water and cellulose (16, 34.78%), for fluid volume felicity, loss of body fluid (21, 52.50%), for impaired skin integrity, external etilogy(16, 43.24%), for impaired physical mobility, pain(22, 62.86%) , for knowledge deficits, cognition disturbance(9, 27.27％), for ineffective air way clearance, secretion obstruction(14, 48.27%) , for impaired gas exchange, loss of transport ability of blood oxygen(9, 37.50%) , and for powerlessness, therapy environment (5, 22.73%). The number of nursing diagnoses by pattern was exchange(16), moving(6), feeling(4), choosing(4), relating(3), communication(1), perceiving(1), knowing(1), valuing(1).

• 대한원격탐사학회지
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• 제37권3호
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• pp.591-601
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• 2021

국내의 화학 산업이 지속적으로 발전이 이루어짐에 따라 화학물질의 취급량과 운송량은 매년 증가하고 있다. 우리나라 도로 화물운송은 90%이상을 차지하고 있으며, 화학물질 운송도 대부분 도로를 통해 이루어지고 있다. 이러한 화학물질 운송차량들은 사고가 발생하게 되면 대형사고로 이어질 수 있다. 운송차량은 1차 피해인 교통사고뿐만 아니라 2차 피해인 환경 피해 요인들인 수질오염, 토양오염 등을 발생시킬 가능성이 높다. 본 연구는 반포IC와 서초IC 구간을 연구지역으로 설정하여 염화수소 가스 누출에 대한 시나리오를 작성하여, ALOHA 프로그램을 사용하여 예측거리를 측정하고 거리에 따라 염화수소 가스가 도달한 시간을 분석하였다. 또한 GIS를 이용해 시간별로 발생한 피해 영역에 대해서 인구밀도를 이용한 리스크 평가를 수행하였다. 이를 통해 피해 영역에 대해서 예방·대응 방안의 필요성을 제시하였다.

• 한국IT서비스학회지
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• 제21권3호
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• pp.63-72
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• 2022

The extinction crisis of local cities, caused by a population density increase phenomenon in capital regions, directly causes the increase of vacant houses in local cities. According to population and housing census, Gunsan-si has continuously shown increasing trend of vacant houses during 2015 to 2019. In particular, since Gunsan-si is the city which suffers from doughnut effect and industrial decline, problems regrading to vacant house seems to exacerbate. This study aims to provide a foundation of a system which can predict and deal with the building that has high risk of becoming vacant house through implementing a data driven vacant house prediction machine learning model. Methodologically, this study analyzes three types of machine learning model by differing the data components. First model is trained based on building register, individual declared land value, house price and socioeconomic data and second model is trained with the same data as first model but with additional POI(Point of Interest) data. Finally, third model is trained with same data as the second model but with excluding water usage and electricity usage data. As a result, second model shows the best performance based on F1-score. Random Forest, Gradient Boosting Machine, XGBoost and LightGBM which are tree ensemble series, show the best performance as a whole. Additionally, the complexity of the model can be reduced through eliminating independent variables that have correlation coefficient between the variables and vacant house status lower than the 0.1 based on absolute value. Finally, this study suggests XGBoost and LightGBM based machine learning model, which can handle missing values, as final vacant house prediction model.

• International Journal of Computer Science & Network Security
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• 제23권3호
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• pp.110-122
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• 2023

Over the last few decades, various innovative technologies have emerged that have significantly contributed to making life easier for humans. Various information and communication technologies (ITCs) have emerged as a result of the global technological revolution, including big data, IoT, 4G and 5G networks, cloud computing, mobile computing, and artificial intelligence. These technologies have been adopted in urban planning and development, which gave rise to the concept of smart cities in the 1990s. A smart city is a type of city that uses ITCs to exchange and share information to enhance the quality of services for its citizens. With the global population increasing at unprecedented levels, cities are overwhelmed with a myriad of challenges, such as the energy crisis, environmental pollution, sanitation and sewage challenges, and water quality issues, and therefore, have become a convergence point of economic, social, and environmental risks. The concept of a smart city is a multidisciplinary, unified approach that has been adopted by governments and municipalities worldwide to overcome these challenges. Though challenging, this transformation is essential for cities with differing technological and social features, which all have the potential to determine the success or failure of the digital transformation of cities into smart cities. In recent years, researchers, businesses, and the government have all turned their attention to the emerging field of smart cities. Accordingly, this paper aims to represent a thorough understanding of the movement toward smart cities. The key themes identified are smart city definitions and concepts, smart city dimensions, and smart city architecture of different layers. Furthermore, this article discusses the challenges and some examples of smart cities.

• 농업과학연구
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• 제50권4호
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• pp.697-711
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• 2023

The global waste crisis has been escalating and its consequent impact on soil, water, air pollution, and eventually climate change acceleration has shed light on the importance of reducing waste. Amidst COVID-19 and the following surge in single-use plastics for food delivery, waste generation is on the incline. Companies and governments have embarked on developing various eco-friendly packaging technologies, but their effectiveness on the consumers is vague as definitions of eco-friendly packaging are vague, and research on its link to purchase intention remains scarce. Thus, the adoption of eco-friendly packaging has been slow. To address this issue, this study analyzes the awareness and purchase intention of four visual attributes of eco-friendly packaging-material, verbal statement, eco-label, and color-along with the environmental consciousness among undergraduate university students in Korea through online surveys and the ordered logit regression model. The study distinguished the attributes into evidence-based and conjectural categories. The findings revealed that eco-friendly visual attributes had a positive effect on purchase intention amongst undergraduate students in Korea; however the level of environmental consciousness had marginal effect on the purchase intention of eco-friendly visual attributes. The level of effectiveness also varied with each visual element. Analyses revealed that visual attributes to eco-friendly material had marginal effect on purchase intention; color was deemed not an "Eco-friendly attribute" by most students, and although eco-friendly labels were deemed as an eco-friendly attribute, trust in the labels varied according to environmental consciousness. These findings have implications for businesses and policymakers aiming to promote eco-friendly consumption within packaged food products.

• 한국재난정보학회 논문집
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• 제18권3호
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• pp.581-588
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• 2022

연구목적: 본 연구에서는 석탄 심부 화재 발생 시 대응과 침윤소화약제의 실효성 확대를 위한 기술기준 개선방안을 제시하고자 하였다. 연구방법: 석탄 8톤과 침윤소화약제 3종, 소화용수를 활용하여 침투 실험을 수행하고, 국내·외 기술기준 및 해외 사례를 분석하였다. 연구결과: 소화용수는 높은 표면장력으로 인해 석탄 심부로 침투하지 못하였고, 침윤소화약제는 5~25cm 깊이까지 침투되었다. 국내 기술기준은 침투성에 대한 간접 측정 방식인 표면장력만 언급되어있고, 소화능력시험도 목재를 활용하는 것으로 확인되었다. 반면 해외에서는 면직물을 활용한 심부 화재 실험, 헵탄을 이용한 B급 화재 실험이 있는 것을 확인하였다. 그 외, 미 광산국에서는 모세관 상승 시험, 침전시험, 접촉각 측정이 있는 것으로 분석되었다. 결론: 미국 NFPA 및 광산국의 기준과 사례를 토대로 국내 기술기준도 침투성을 직접적으로 측정할 수 있는 기준을 추가하여 실효성을 확대할 필요가 있을 것으로 사료된다.