• 한국대기환경학회지
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• 제24권4호
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• pp.423-438
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• 2008

BEIS2 (Biogenic Emissions Inventory System version 2) and BEIS3.12 (BEIS version 3.12) were used to estimate hourly biogenic emissions over South Korea using a set of vegetation and meteorological data simulated with the MM5 (Mesoscale Model version 5). Two biogenic emission models utilized different emission factors and showed different responses to solar radiations, resulting in about $10{\sim}20%$ difference in the nationwide isoprene emission estimates. Among the 11-vegetation classes, it was found that mixed forest and deciduous forest are the most important vegetation classes producing isoprene emissions over South Korea comprising ${\sim}90%$ of the total. The simulated isoprene concentrations over Seoul metropolitan area show that diurnal and daily variations match relatively well with the PAMS (Photochemical Air Monitoring Station) measurements during the period of June 3${\sim}$June 10, 2004. Compared to BEIS2, BEIS3.12 yielded ${\sim}35%$ higher isoprene concentrations during daytime and presented better matches to the high peaks observed over the Seoul area. This study showed that the importance of vegetation data and emission factors to estimate biogenic emissions. Thus, it is expected to improve domestic vegetation categories and emission factors in order to better represent biogenic emissions over South Korea.

• Ocean and Polar Research
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• 제37권1호
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• pp.81-90
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• 2015

International Seabed Authority (ISA) is currently developing rules with regard to exploitation of manganese nodules which will be contained in its first regulations governing the exploitation of deep seabed mineral resources. A stakeholder survey was conducted in the early 2014 by ISA with the aim of facilitating participation of interested entities in the development process of the rules. The stakeholders who had replied to the survey included existing contractors, sponsoring States, environmentalists, academics, and nongovernmental organizations. Opinions given by them largely reflect their own interests. This paper aims to clarify the scope of the obligations regarding the environmental protection which may be imposed on contractors under the new regulations for the exploitation of manganese nodules. To do so, it first analyses the express provisions on environmental protection applicable to deep seabed mining included in the Law of the Sea Convention, its agreement on implementation of Part XI, and the regulations on exploration for manganese nodules. Secondly, it categorizes these obligations based on the categories of international obligations suggested by Combacau and Alland. Based on the categorizations this paper concludes that, in addition to the existing duties to protect deep seabed environment within the Law of the Sea Convention system, the following new obligations could be added: conservation of exploitation sites for a limited time after the contract is ceased; taking all necessary measures for rehabilitation of destroyed ecosystems that occurredas a result of mining activities; monitoring exploitation sites for a limited period time after the contract is ceased; observing rules and standards on safety of ships and environmental protection adopted under IMO instruments; regulation on the discharge of mine tailings from the facilities used for exploitation of deep sea minerals. Lastly, this paper attempts to provide ways of reflecting national interests in terms of potential obligations which may be included in the new regulations.

• 정보처리학회논문지D
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• 제11D권5호
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• pp.1205-1212
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• 2004

전자상거래 시스템의 보급이 활성화되기 시작하면서, 사용자의 필요와 욕구에 밀착한 적응형 전자상거래 에이전트의 필요성이 증대되고 있다. 이와 같은 적응형 전자상거래 에이전트는 사용자의 행위를 모니터하고 자동 분류하여 사용자의 취향을 학습하는 기능을 요하게 되었다. 이러한 기능을 가지는 적응형 전자상거래 에이전트를 구축하기 위해서, 본 논문에서는 사용자 개인의 관심정보와 선호하는 상품에 대한 호감도를 고려한 적응형 전자 상거래 에이전트 시스템을 제안한다. 제안하는 시스템은 사용자의 구매 행위에 적응력을 가질 수 있도록 보다 정확한 사용자 프로파일을 구축하고, 이와 같은 사용자 프로파일을 기반으로 사용자에게 불필요한 검색과정 없이 필요한 상품 정보를 제공 할 수 있도록 한다. 본 시스템에서는 모니터링을 통하여 사용자 의도를 파악하는 모니터 에이전트, 사용자의 행동성향을 학습 한 후 행동 패턴이 유사한 그룹을 참조하는 유사도 참조 에이전트, 사용자의 행위의 변화에 따른 개인화된 행동 DB를 구축할 수 있는 관심 추출 에이전트로 구성하였다.

• 보건교육건강증진학회지
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• 제32권4호
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• pp.67-78
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• 2015

Objectives: This study aims to examine the trends of mobile-health research in terms of community participation. Methods: A set of 24 peer-reviewed articles were identified for review. Two authors independently reviewed the articles using a literature review matrix and reexamined as a team. Review categories include: general characteristics, research methods, levels and ranges of community participation, and research topics. Results: Most of the articles were published in 2013-2014, including one domestic paper. Multidisciplinary approaches were used in 65% of the studies. Community participation was at low or mid-levels of Arnstein's participation model. In mobile-health research so far, the level of participation tends to improve as more diverse stakeholders participate in health promotion initiatives with mobile-health. The review yielded five types of mobile-health research for community health promotion: improving the quality of primary healthcare through the community health workers' capacity enhancement; improving the data collection capabilities; facilitating exchanges of community information and resources; reinforcing community identity; and monitoring physical environment of the communities. Conclusions: Although at an early stage of research development, application of mobile-health to community health promotion via participation has a potential. Multi-disciplinary approaches should be fostered for further development.

• 대한전자공학회논문지SP
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• 제47권5호
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• pp.175-182
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• 2010

본 논문에서는 얼굴과 동공을 검색하는 새로운 기법을 제시하며, 안전운행을 위한 운전자의 동공 감시에 적용한 실험결과를 포함하고 있다. 제시된 기법은 세 단계 주요 과정을 거치는데, 먼저 스킨칼라 세그먼테이션 기법으로 얼굴을 찾는 과정으로 이는 지금까지 사용된 휴리스틱모델이 아닌 학습과정 모델에 기반을 두고 있다. 다음에 얼굴 특징 세그먼테이션으로 눈, 입, 눈썹 등의 부분을 검출 하는데, 이를 위해 얼굴 각 부분에서 추출한 고유 특징들에 대한 PDF 추정을 사용하고 있다. 마지막으로 서큘러 하프 변환기법으로 눈 안의 동공을 찾아낸다. 제시된 기법을 조명이 다른 웹 얼굴 영상과 운전자의 CCD 얼굴 영상에 적용하여 동공을 찾아내는 실험을 하여, 높은 동공 검출율을 확인하였다.

• Journal of Dairy Science and Biotechnology
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• 제31권2호
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• pp.171-177
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• 2013

The dairy industry has consistently grown via the expansion of dairy-based food categories. Dairy product consumption is stable since the nutrient composition in dairy products is ideal for human health. However, dairy products are highly susceptible to food-borne pathogens. Controlling the safety of dairy products is thus important when considering the nutrient-rich matrix of this food category. Currently, immunoassays or molecular biology techniques have been used to evaluate the safety of dairy products in Korea. These methods are based on the detection of proteins and thus have low reproducibility and sensitivity. Recent techniques to detect food-borne pathogens have focused on genetic analyses. Rapid detection methods for food-borne pathogens in milk and dairy products using polymerase chain reaction (PCR) techniques, such as conventional PCR, real-time PCR, repetitive sequence-based (rep)-PCR, PCR-denaturing gradient gel electrophoresis (DGGE), and digital PCR, are reviewed in this article. The aim of this review was to contribute knowledge of the relationship between microflora and the quality of dairy products. This study will also assist in the immediate monitoring of food-borne pathogens in milk and dairy products when an outbreak related to this food category occurs.

• Industrial Engineering and Management Systems
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• 제14권3호
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• pp.221-235
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• 2015

Risk assessment is an important phase of risk management. It is the stage in which risk is measured thoroughly to achieve effective management. Some factors such as probability and impact of risk have been used in the literature related to construction projects. Because in high-rise projects safety issues are paramount, this study has tried to develop a quantifying technique that takes into account three factors: probability, impact and Safety Performance Index (SPI) where the SPI is defined as the capability of an appropriate response to reduce or limit the effect of an event after its occurrence with regard to safety pertaining to a project. Regarding risk-related literatures which cover an uncertain subject, the proposed method developed in this research is based on a fuzzy logic approach. This approach entails a questionnaire in which the subjectivity and vagueness of responses is dealt with by using triangular fuzzy numbers instead of linguistic terms. This method returns a Risk Critical Point (RCP) on a zoning chart that places risks under categories: critical, critical-probability, critical-impact, and non-critical. The high-rise project in the execution phase has been taken as a case study to confirm the applicability of the proposed method. The monitoring results showed that the RCP method has the inherent ability to be extended to subsequent applications in the phases of risk response and control.

• 한국기계가공학회지
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• 제19권7호
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• pp.7-15
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• 2020

Recently, the fourth industrial revolution has been presented as a new paradigm and additive manufacturing (AM) has become one of the most important topics. For this reason, process monitoring for each cross-sectional layer of additive metal manufacturing is important. Particularly, deep learning can train a machine to analyze, optimize, and repair defects. In this paper, image classification is proposed by learning images of defects in the metal cross sections using the convolution neural network (CNN) image labeling algorithm. Defects were classified into three categories: crack, porosity, and hole. To overcome a lack-of-data problem, the amount of learning data was augmented using a data augmentation algorithm. This augmentation algorithm can transform an image to 180 images, increasing the learning accuracy. The number of training and validation images was 25,920 (80 %) and 6,480 (20 %), respectively. An optimized case with a combination of fully connected layers, an optimizer, and a loss function, showed that the model accuracy was 99.7 % and had a success rate of 97.8 % for 180 test images. In conclusion, image labeling was successfully performed and it is expected to be applied to automated AM process inspection and repair systems in the future.

• Asian Journal for Public Opinion Research
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• 제5권2호
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• pp.143-174
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• 2018

A cultural exchange program widens the horizons of students. It gives them the opportunity to associate with other societies and learn their cultures at the same time. This program also serves as a training ground where students enhance their skills, acquire learnings, and gain experiences that will help them in their future careers and make them more competitive than others. Hence, the objective of this study is to come up with an output from a set of guidelines established and gathered from the different "work and travel" experiences of the participants. This study adopted the phenomenological and was conducted in places that are relatively quiet for recording, and suitable and convenient for both the researchers and participants. The researchers gathered data through in-depth interviews of samples gathered through snowball sampling. Cellphones were used to record interviews. At the end of the thematic analysis of information, the researchers came up with three major categories which included: (1) 'having the opportunity to know the industry well and improve one's capability', 'undergoing different cultural exchange experiences for better development', and 'being able to practice intercultural immersion'. Some of the researchers' recommendations would be to institute a feedback mechanism such as personal interviews, monitoring visits, etc. and use the output, a set of guidelines, that would help the future 'work and travel' participants to prepare and anticipate the program they would undergo.

• 성인간호학회지
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• 제14권2호
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• pp.296-305
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• 2002

Purpose: The purpose of this research was to describe how nurses in intensive care units (ICU) work. Method: A total of 18 ICU nurses participated in the research. The data was collected through individual in-depth interviews and analyzed by grounded theory method using NUDIST 4.0 software program. Results: Three different patterns regarding nursing performance among ICU nurses were identified. These are 1) nursing performance of nurses who perform excellently, 2) nursing performance of nurses who do not perform well because of their lack of experience, and 3) nursing performance of nurses who do not perform well in spite of their good years of experience. These three different nursing performances were described in terms of seven different categories; 1) assessing and monitoring nursing problems, 2) clinical decision making, 3) interpersonal relationships, 4) holistic care, 5) technical skills, 6) problem solving, 7) working independently and creatively. This study also identified two intervening factors that influenced the advancement of their expertise. Conclusion: The results of this study might help nurse managers in developing continuing educational programs for inexperienced nurses or those nurses not performing well to become experts by a deeper understanding of the nature of nursing performance and the factors that influence nursing performance in ICU settings.