• 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.

• 패션비즈니스
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• 제15권3호
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• pp.1-21
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• 2011

This study is designed to identify how Demographic Factors affect Fashion Orientation(value), Fashion Response, and Buying Criteria. A total of 355 usable data was collected from housewives in three metropolitan cities(Seoul, Daejeon, Sungnam) in Korea. Young housewives who have one child are a market segment whose buying power is recognized by both the retailers and the market. The housewives' fashion orientation consists of four categories : social orientation, practical orientation, political orientation, and aesthetic orientation. The housewives' fashion response is classified into three areas : self conscious, self esteem, and self monitoring. The criteria of buying children's wear consists of nine components. As a result, the key reason for buying children' wear was 'attractive design'. Research result showed that POLITICAL ORIENTATION(SE beta=.229, p<.001) was more effective than AESTHETICS ORIENTATION(SE beta=.203, p<.001), for enhancing SELF-CONSCIOUS RESPONSE and SELF-ESTEEM RESPONSE. Therefore, this study suggests that the key factor for understanding trend can be a human self concept, consciousness, values, and orientation. The housewives' fashion orientation is responsible for 18.7% of BRAND ROYALTY(F = 20.172, p<.001) from among nine buying criteria. More poignantly, POLITICAL ORIENTATION covered 66.9% of selection of BRAND ROYALTY, and it explained 34.6% of selection of DESIGN among nine buying criteria. Thus, it showed that POLITICAL ORIENTATION(SE beta=.331, p<.001) is more effective than SOCIAL ORIENTATION(SE beta=.146), for upgrading BRAND ROYALTY. In addition, it showed that POLITICAL ORIENTATION(SE beta=.238, p<.001) is more effective than AESTHETICS ORIENTATION(SE beta=.040) for upgrading DESIGN evaluation. Housewives' fashion orientation, and fashion response are differentiated by demographic factors, such as occupation, women's career, husband' job, income, and location related to social status.

• 한국대기환경학회지
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• 제22권6호
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• pp.808-820
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• 2006

In regard to indoor air quality patterns, the government introduced various polices that were about managing and monitoring quality of indoor air as a major assignment, and also executed 'Indoor Air Quality Management Act' which was presented in the May, 2004. However, among the multi-usage facilities controlled by the Act, the school was not included yet. This study goal was to investigate PM 10 pollution patterns of the high school classrooms using a pattern recognition method based on cluster analysis and disjoint principal component analysis, and further to survey levels of inorganic elements in May, June, and September, 2004. A hierarchical clustering method was examined to obtain possible objects in pseudo homogeneous sample classes by transformation raw data and by applying various distance. Following the analysis, the disjoint principal component analysis was used to define homogeneous sample class after deleting outliers. Then three homogeneous Patterns were obtained as follows: the first class had been separated and objects in the class were considered to be sampled under semi-open condition. This class had high concentration of Ca, Fe, Mg, K, Al, and Na which are related with a soil and a chalk compounds. The second class was obtained in which objects were sampled while working air-conditioners and was identified low concentration of PM 10 and elements. Objects in the last class were assigned during rainy day. A chalk, soil element and various types of anthropogenic sources including combustions and industrial influenced the third class. This methodology was thought to be helpful enough to classify indoor air quality patterns and indoor environmental categories when controlling an indoor air quality.

• Nuclear Engineering and Technology
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• 제45권5호
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• pp.637-652
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• 2013

Instrumentation and control systems in nuclear power plants have been digitalized for the purpose of maintenance and precise operation. This digitalization, however, brings out issues related to cyber security. In the most recent past, international standard organizations, regulatory institutes, and research institutes have performed a number of studies addressing these systems cyber security.. In order to provide information helpful to the system designers in their application of cyber security for the systems, this paper presents methods and considerations to define attack vectors in a target system, to review and select the requirements in the Regulatory Guide 5.71, and to integrate the results to identify applicable technical security control requirements. In this study, attack vectors are analyzed through the vulnerability analyses and penetration tests with a simplified safety system, and the elements of critical digital assets acting as attack vectors are identified. Among the security control requirements listed in Appendices B and C to Regulatory Guide 5.71, those that should be implemented into the systems are selected and classified in groups of technical security control requirements using the results of the attack vector analysis. For the attack vector elements of critical digital assets, all the technical security control requirements are evaluated to determine whether they are applicable and effective, and considerations in this evaluation are also discussed. The technical security control requirements in three important categories of access control, monitoring and logging, and encryption are derived and grouped according to the elements of attack vectors as results for the sample safety system.

• 한국콘텐츠학회논문지
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• 제15권5호
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• pp.414-425
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• 2015

목적: 최근 고령화, 만성질환의 증가로 가정 내 소형 정보통신기기를 비치하고 네크워크로 연결하여 건강상태를 모니터링하며 지속적인 건강관리를 가능하게 하는 기술 및 서비스가 시도되고 있다. 본 연구는 서울시 영구임대아파트 단지에서 시행한 스마트 홈 헬스케어 기술을 제공받은 노인들을 대상으로 이용 경험을 파악하기 위해 시행되었다. 방법: 고혈압 또는 당뇨를 가진 총 7명의 노인(평균연령 75세)에게 2013년 7월, 2회에 걸친 포커스그룹 인터뷰를 통해 자료수집이 이루어졌으며, 질적 내용분석방법으로 분석하였다. 결과: 총 27개의 의미있는 자료가 추출되어 코드화 한 후 비교, 대조, 분류 과정을 통해 10개의 카테고리로 재구성하였고, 추상화를 거쳐 총 6개의 주제를 도출하였다. 도출된 주제는 '언제 어디서나 자가 측정으로 건강상태호전을 경험함', '가정에서 전문가 도움을 받는 흥미로운 체험', '잦은 시스템 및 통신장애로 사용하기에 답답함', '노인사용자에게 측정기기는 낯설고 불편함', '활성화를 위한 체계적인 전략보완이 요구됨', '고령 친화적 측정기기 및 프로그램의 업그레이드 필요'이다. 결론: 향후 스마트 홈 헬스케어를 활성화하기 위해서는 노인사용자의 특성을 고려한 고령 친화적인 측정기기 및 프로그램이 개발되고 최적의 전문인력 배치 및 관련단체의 적극적인 지원 속에서 추진되어야 할 것이다.

• 한국지구과학회지
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• 제28권5호
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• pp.572-584
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• 2007

The quantification of ammonia concentrations has received a lot of scientific attention. Numerous devices for the quantification of $NH_3$ in the ambient air have been developed to provide more technical possibilities for research in abating $NH_3$ emission from various source processes. For the proper quantification of $NH_3$, a number of sampling methods have been discussed by grouping them into different categories based on the principle of functioning. In general, active samplers employ pumps to draw air in, while passive samplers are exposed to air over a certain period of time to obtain integrated signature of $NH_3$. In case of the former, impingers and absorption flasks can be employed simultaneously with suitable absorbents to capture $NH_3$ passing through them. The methods of analysis include both in-situ and laboratory determination. In the laboratory, colorimetric or ion chromatographic methods are generally used for its quantification. In the field, a number of real time analyzers have been proven to be useful. These real time analyzers can be grouped according to their principle of operation. These analyzers may use the principle of spectroscopy (e.g. DOAS), photoacousticics (e.g. photoacoustic monitor) or Chemiluminescence ($NO_x$ analyzer). The automated annular denuder sampling system with on-line analyzer is also suitable for continuous monitoring of ammonia in air.

• 임상간호연구
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• 제18권2호
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• pp.251-263
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• 2012

Purpose: It was necessary for developing a neonatal classification system based on nursing needs and direct care time. This study was, thus, aimed at identifying nursing activities and measuring the standard nursing practice time for developing a neonatal patient classification system in Neonatal Intensive Care Unit (NICU). Methods: The study was taken place in 8 general hospitals located in Seoul and Kyungi province, South Korea from Dec, 2009 to Jan, 2010. By using 'the modified Workload Management System for critical care Nurses' (WMSN), nursing categories, activities, standard time, and task frequencies were measured with direct observation. The data were analyzed by using descriptive statistics. Results: Neonatal nursing activities were categorized into 8 areas: vital signs (manual), monitoring, activity of daily living (ADL), feeding, medication, treatment and procedure, respiratory therapy, and education-emotional support. The most frequent and time-consuming area was an ADL, unlike that of adult patients. Conclusion: The findings of the study provide a foundation for developing a neonatal patient classification system in NICU. Further research is warranted to verify the reliability and validity of the instrument.