• 한국항해항만학회지
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• 제41권5호
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• pp.277-286
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• 2017

IMO introduced e-Navigation concept to improve the efficiency of ship operation, port operation, and ship navigation technology. IMO proposed sixteen MSPs (Maritime Service Portfolio) applicable to the ships and onshore in case of e-Navigation implementation. In order to meet the demands of the international society, the system implementation work for the Korean e-Navigation has been specified. The Korean e-Navigation system has five service categories: the S2 service category, which is a ship anomaly monitoring service, is a service that classifies emergency levels according to the degree of abnormal condition when a ship has an abnormality in ship operation, and provides guidance for emergency situations. The navigation safety module is a sub-module of the S2 service that determines the emergency level in case of navigation equipment malfunctioning, engine or steering gear failure during navigation. It provides emergency response guidance based on emergency level to the abnormal ship. If an abnormal condition occurs during the ship operation, first, the ship shall determine the emergency level, according to the degree of abnormality of the ship. Second, an emergency response guidance is generated based on the determined emergency level, and the guidance is transmitted to the ship, which helps the navigators prevent accidents and not to spread. In this study, the operational concept for the implementation of the Korean e-Navigation system is designed and the concept is focused on the navigation safety module of S2 service.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권11호
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• pp.541-548
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• 2016

사용자의 다양한 의견을 수렴하고 모니터링하기 위한 정보원으로써 소셜미디어의 활용은 이미 필수가 되었다. 본 논문은 소셜미디어에 나타난 다양한 이슈 중 여론 형성에 악영향을 끼치는 부정적 사건을 이슈 '리스크'로 정의, 그 세부 유형을 자동으로 분류하는 모델을 개발하고자 한다. 이를 위해 소셜미디어에 나타난 다양한 어휘 자질을 선별, 그 효과를 규명하였다. 특히 리스크 문장의 어휘 구문 특징을 표현하기 위한 자질로 워드 임베딩 학습 결과를 활용한다. 개별 어휘 자질의 특징을 분석하기 위해 언어분석 오류를 보정한 환경에서 수행한 실험 결과, 가장 효과가 큰 자질은 개체명 자질로 분석되었으며, 기본 어휘 자질을 기반으로 주요 술부의 워드 임베딩 결과와 워드 클러스터 결과를 모두 조합한 경우가 최고 성능을 보이는 것으로 파악되었다. 실제 소셜빅데이터에 적용하는 환경과 유사하도록 자동 언어분석 결과의 오류를 포함한 조건에서 실험한 결과, 고빈도 평가셋에서는 92.08%의 성능을, 전체 58개 범주 평가셋에서는 85.84%의 성능을 얻었다.

• Safety and Health at Work
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• 제9권3호
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• pp.265-276
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• 2018

Background: Resilience engineering is a paradigm for safety management that focuses on coping with complexity to achieve success, even considering several conflicting goals. Modern sociotechnical systems have to be resilient to comply with the variability of everyday activities, the tight-coupled and under-specified nature of work, and the nonlinear interactions among agents. At organizational level, resilience can be described as a combination of four cornerstones: monitoring, responding, learning, and anticipating. Methods: Starting from these four categories, this article aims at defining a semiquantitative analytic framework to measure organizational resilience in complex sociotechnical systems, combining the resilience analysis grid and the analytic hierarchy process. Results: This article presents an approach for defining resilience abilities of an organization, creating a structured domain-dependent framework to define a resilience profile at different levels of abstraction, and identifying weaknesses and strengths of the system and potential actions to increase system's adaptive capacity. An illustrative example in an anesthesia department clarifies the outcomes of the approach. Conclusion: The outcome of the resilience analysis grid, i.e., a weighed set of probing questions, can be used in different domains, as a support tool in a wider Safety-II oriented managerial action to bring safety management into the core business of the organization.

• 한국산학기술학회논문지
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• 제13권8호
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• pp.3757-3763
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• 2012

본 연구는 점차 심화되고 있는 물 부족 현상에 대응하는 IT기반의 효과적인 방법을 제시하는데 그 궁극적인 목적을 두고 있다. 이를 위한 부분적 시도 중 하나로, 본 논문에서는 주거용수를 대상으로 실험지역 및 센서의 선정, 센서 및 데이터 취득 장비의 설치, 실시간 데이터 모니터링 등의 과정을 시도하고 모니터링된 실시간 데이터 분석을 통해 요일별, 월별 주거용수 사용 모형을 개발하였다. 그리고 개발된 모형을 적용하여 주거용수 사용추세패턴 분석을 실시하였다. 개발된 주거용수 사용 모형 및 추세패턴 분석결과는 분명한 시간별 패턴 및 일반화의 가는성을 보이고 있음이 확인되어 개별적으로 또는 타 용도의 용수 사용 모형 및 추세패턴 분석결과와 함께 전체 용수관리의 효율화를 위해 활용될 수 있을 것으로 기대된다.

• 한방비만학회지
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• 제18권1호
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• pp.1-9
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• 2018

Objectives: The objective of this study was to assess the safety of 'Gamitaeeumjowee-tang' by analyzing adverse events in weight loss program in combination with 'Gamitaeeumjowee-tang' and low-calorie diet. Methods: A retrospective review of adverse events in weight loss program in combination with 'Gamitaeeumjowee-tang' and low-calorie diet from the electronic medical chart (n=124) between June 2015 and December 2016 was conducted. Three Korean Medicine Doctors (KMDs) reviewed adverse events for two times, during week 2 to 4 and at week 10, after starting weight loss program. Adverse events were evaluated in terms of causality, severity and system-organ classes. Also, agreement among the three KMDs was made through further discussion in case of disagreement after independent review. Results: The overall rate of adverse events was 37.1% during week 2 to 4 and 16.9% at week 10. For causality of adverse events using the World Health Organization-Uppsala Monitoring Centre causality categories, 52.2% were evaluated 'possible' at week 2-4 and 57.1% were evaluated 'unlikely' at week 10. All symptoms were evaluated as 'mild' by LDS scale. Nausea (15, 12.1%) was the most frequent adverse event at week 2-4 and dizziness (6, 4.8%) was the most common at week 10. Conclusions: Adverse events decreased over time. There were no serious adverse events and none of the subjects were dropped due to adverse events. Continuous study is needed to prove the safety of 'Gamitaeeumjowee-tang' for treating obesity.

• Journal of Forest and Environmental Science
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• 제27권3호
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• pp.205-210
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• 2011

This study aims to assess MEE(management effectiveness evaluations) on PAs(protected areas) for forest genetic resources which play an important role in biodiversity conservation, and then to suggest better ways to manage PAs for forest genetic resources. This study applies same indicators of the MEE on PAs as the ones described in the prior study(Ryu et al. 2011). The indicators applied are composed of five elements, thirty-two indicators which all would be grouped into one element by each traits. Overall indicators belonging to the element of output and outcome are comparatively low. Especially the ones related to the change of biodiversity, degree of ecosystem health, variation of civil complaint and visitor satisfaction are ranked mostly low. The element of input shows the low rank on the number of staff and budget. The score of indicators related to the identification of the threats of PAs and local communities' supports turn out to be low in the element of Context. The element of process, however, has scored low on Staff management, Education/Awareness programs and Governance, while the law enforcement, management regulation and capacity to prevent forest disasters have made relatively high score. Meanwhile, all indicators in the element of planning have scored relatively high as compared to the indicators belonged to other elements. This study suggests to strengthen a few constructive proposals, such as facilitating efficient management framework for PAs, developing local community cooperation program, establishing survey, research and monitoring system, and registering PAs to the WDPA(World Database on Protected Areas) according to the IUCN categories.

• 한국융합학회논문지
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• 제9권12호
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• pp.429-440
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• 2018

본 연구는 간호사의 직장 내 괴롭힘 경험과정을 탐색하고자 함이다. 2013년 4월 1일부터 2013년 7월 5일까지 직장 내 괴롭힘을 경험한 14명의 간호사를 대상으로 인터뷰하고 Strauss and Corbin의 근거이론방법론을 적용하여 분석하였다. 분석 결과, 간호사의 직장 내 괴롭힘은 139개의 개념, 35개의 하위범주, 13개의 범주로 구분되었다. 간호사가 경험하는 직장 내 괴롭힘의 중심현상은 '부정적으로 학습된 관성에 의한 존재의 무시'로 나타났고, 이를 해결하기 위한 핵심범주는 '자신을 되찾기 위한 몸부림'이었다. 본 연구는 괴롭힘을 경험하는 간호사의 역동과정을 제시함으로 개인과 조직의 직장 내 괴롭힘에 대한 인식의 변화에 긍정적으로 기여할 것이다. 추후 간호사의 직장 내 괴롭힘을 감소시키기 위한 직장 내 괴롭힘 현황 파악, 모니터링 방법 및 프로그램 개발에 대한 연구가 요구된다.

• Structural Engineering and Mechanics
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• 제71권1호
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• pp.57-63
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• 2019

During the last two decades, much joint research regarding vibration based methods has been done, leading to developing various algorithms and techniques. These algorithms and techniques can be divided into modal methods and signal methods. Although modal methods have been widely used for health monitoring and damage detection, signal methods due to higher efficiency have received considerable attention in various fields, including aerospace, mechanical and civil engineering. Signal-based methods are derived directly from the recorded responses through signal processing algorithms to detect damage. According to different signal processing techniques, signal-based methods can be divided into three categories including time domain methods, frequency domain methods, and time-frequency domain methods. The frequency domain methods are well-known and interest in using them has increased in recent years. To determine dynamic behaviours, to identify systems and to detect damages of bridges, different methods and algorithms have been proposed by researchers. In this study, a new algorithm to detect seismic damage in the bridge's piers is suggested. To evaluate the algorithm, an analytical model of a bridge with simple spans is used. Based on the algorithm, before and after damage, the bridge is excited by a sine force, and the piers' responses are measured. The dynamic specifications of the bridge are extracted by Power Spectral Density function. In addition, the Least Square Method is used to detect damage in the bridge's piers. The results indicate that the proposed algorithm can identify the seismic damage effectively. The algorithm is output-only method and measuring the excitation force is not needed. Moreover, the proposed approach does not need numerical models.

• 산업경영시스템학회지
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• 제42권3호
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• pp.25-38
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• 2019

This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

• 한국농공학회논문집
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• 제61권3호
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• pp.77-88
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• 2019

Drought is the recurrent natural disasters which harshly affect agricultural production and society in various parts in Bangladesh. Information on the spatiotemporal variability of drought events plays a vital role to take necessary action towards drought mitigation and sustainable development. This study aims to analyze the spatial and temporal variation of meteorological drought in Bangladesh during 1981-2015 using Effective Drought Index (EDI). Monthly precipitation data for 36 years (1980-2015) were obtained from 27 meteorological stations. Drought frequency (DF) and areal extent of drought were considered to investigate the spatiotemporal structure of drought. The DF analysis showed that the northern, southwestern and central regions of the country are comparatively vulnerable to meteorological drought. The frequency of drought in all categories has considerably increased during the recent five years from 2011 to 2015. Furthermore, the most significant increasing trend of the drought-affected area was found over the central region especially for pre-monsoon (March-May) season during this period while the decreasing trend of the affected area was found within the eastern region during the study period. To prevent and mitigate the damages of drought disasters in Bangladesh, agricultural and government managers should pay more attention to those regional drought events that occur in pre-monsoon season. The outcome of the present study can be used as explanatory data in building the strategies to drought monitoring and mitigation activities in Bangladesh.