• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.106-106
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• 2015

The information of flow regimes continues to be norm in water resource and watershed management, in that stream flow regime is a crucial factor influencing water quality, geomorphology, and the community structure of stream biota. The objectives of this study were to estimate Korean stream flows from landscape variables, classify stream flow gages using hydraulic characteristics, and then apply these methods to ungaged biological monitoring sites for effective ecological assessment. Here I used a linear modeling approach (MLR, PCA, and PCR) to describe and predict seasonal flow statistics from landscape variables. MLR models were successfully built for a range of exceedance discharges and time frames (annual, January, May, July, and October), and these models explained a high degree of the observed variation with r squares ranging from 0.555 (Q95 in January) to 0.899 (Q05 in July). In validation testing, predicted and observed exceedance discharges were all significantly correlated (p<0.01) and for most models no significant difference was found between predicted and observed values (Paired samples T-test; p>0.05). I classified Korean stream flow regimes with respect to hydraulic and hydrologic regime into four categories: flashier and higher-powered (F-HP), flashier and lower-powered (F-LP), more stable and higher-powered (S-HP), and more stable and lower-powered (S-LP). These four categories of Korean streams were related to with the characteristics of environmental variables, such as catchment size, site slope, stream order, and land use patterns. I then applied the models at 684 ungaged biological sampling sites used in the National Aquatic Ecological Monitoring Program in order to classify them with respect to basic hydrologic characteristics and similarity to the government's array of hydrologic gauging stations. Flashier-lower powered sites appeared to be relatively over-represented and more stable-higher powered sites under-represented in the bioassessment data sets.

• 대한임상검사과학회지
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• 제49권3호
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• pp.294-299
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• 2017

이 연구의 목적은 중첩성 뇌전증을 발견하고, 처음 기록된 30분 뇌파 패턴을 통하여 경련 가능성을 알아보고자 한다. 국제표준 10~20법을 통하여 전극을 부착하였다. 2014년 1월부터 2015년 12월까지 중환자실에 입원한 경련 의심 환자를 대상으로 하였다. 뇌파의 패턴은 주기적 방전파, 전반적 주기적 방전파, 버스트 억제파, 초점 뇌전증파, 비대칭 배경파, 전반적 서파, 삼상성 형태의 일반화 된 주기적 방전파 등 7 가지 범주로 분류하였다. 원인별 분류는 5가지 범주로 구분하였다. 전체 128명 중 평균 나이는 $56.9{\pm}17.5$였고, 남:여 비율은 74:54명이였다. 평균 뇌파검사 기간은 $5.5{\pm}5.1$일 이었고 최장 33일 이였다. 주기적 방전파(N=7), 전반적 주기적 방전파(N=10), 버스트 억제파(N=6), 초점 뇌전증파(N=19), 비대칭 배경파(N=24), 전반적 서파(N=51), 3상 형태의 일반화 된 주기적 방전파(N=11)이었다. 중첩성 뇌전증 환자의 원인은 원발성 증상성(N=4), 급성원발성 증상성(N=9), 급성 증상성(N=6), 진행성 뇌병증(N=2), 열성경련(N=1)이었다. 지속적 뇌파모니터링 검사는 중첩성 뇌전증을 발견하는데 유용한 검사이고, 뇌파 패턴을 통하여 경련 발생 유무를 확인할 수 있었다.

• 한국환경복원기술학회지
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• 제16권2호
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• pp.1-12
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• 2013

This study reviews the current conditions of the completed 'Ecosystem Conservation Fund Return Project' sites to suggest management methods for their conservation and sustainability. For the scope of the study, five microsites of completed return projects in Seoul were selected and their project planning documents were reviewed to help with site surveying and analysis. To increase the accuracy of the site surveying and analysis, and to evaluate the management problems from different perspectives, the site managers were interviewed in-depth. The experts were surveyed as well to develop a realistic and practical improvement method. The survey results helped to categorize the post-management problems, and separate improvement methods were suggested for each category. First, the post-management guidelines are proposed for the ecosystem-based environment/ecosystem environment, user management, and monitoring. These guidelines will increase the expertise and practicality of the management principles. Second, the regulations for the participation of expert management enterprises and the development of separate monitoring or maintenance management team are suggested. These regulations will improve the participation of experts and consistency of management systems. Third, the post monitoring or maintenance management during the year after the project completion should be set as a separate project to secure budget. Furthermore, policies and/or institutions should be established to set a portion of ecosystem conservation return fund or a grant for post monitoring and maintenance management. Forth, as a way of adaptive management, at least more than three years of post-management should be evaluated under detailed categories and vigorous standard to improve the institutional operation for 'Ecosystem Conservation Fund Return Projects'.

• Smart Structures and Systems
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• 제17권6호
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• pp.981-994
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• 2016

Two field research stations based upon atmospheric corrosivity monitoring combined with reinforced concrete corrosion rate sensors have been established in Kuwait. This was established for the purpose of remote monitoring of building materials performance for concrete under Kuwait atmospheric environment. The two field research sites for concrete have been based upon an outcome from a research investigation intended for monitoring the atmospheric corrosivity from weathering station distributed in eight areas, and in different regions in Kuwait. Data on corrosivity measurements are essential for the development of specification of an optimized corrosion resistance system for reinforced concrete manufactured products. This study aims to optimize, characterize, and utilize long-term concrete structural health monitoring through on line corrosion measurement and to determine the feasibility and viability of the integrated anode ladder corrosion sensors embedded in concrete. The atmospheric corrosivity categories supported with GSM remote data acquisition system from eight corrosion monitoring stations at different regions in Kuwait are being classified according to standard ISO 9223. The two nominated field sites where based upon time of wetness and bimetallic corrosion rate from atmospheric data where metals and rebar's concrete are likely to be used. Eight concrete blocks with embeddable anodic ladder corrosion sensors were placed in the atmospheric zone adjacent to the sea shore at KISR site. The anodic ladder corrosion rate sensors for concrete were installed to provide an early warning system on prediction of the corrosion propagation and on developing new insights on the long-term durability performance and repair of concrete structures to lower labor cost. The results show the atmospheric corrosivity data of the environment and the feasibility of data retrieval of the corrosion potential of concrete from the embeddable sets of anodic ladder corrosion sensors.

• Smart Structures and Systems
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• 제30권6호
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• pp.613-626
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• 2022

Guaranteeing the quality and integrity of structural health monitoring (SHM) data is very important for an effective assessment of structural condition. However, sensory system may malfunction due to sensor fault or harsh operational environment, resulting in multiple types of data anomaly existing in the measured data. Efficiently and automatically identifying anomalies from the vast amounts of measured data is significant for assessing the structural conditions and early warning for structural failure in SHM. The major challenges of current automated data anomaly detection methods are the imbalance of dataset categories. In terms of the feature of actual anomalous data, this paper proposes a data anomaly detection method based on data-level and deep learning technique for SHM of civil engineering structures. The proposed method consists of a data balancing phase to prepare a comprehensive training dataset based on data-level technique, and an anomaly detection phase based on a sophisticatedly designed network. The advanced densely connected convolutional network (DenseNet) and Transformer encoder are embedded in the specific network to facilitate extraction of both detail and global features of response data, and to establish the mapping between the highest level of abstractive features and data anomaly class. Numerical studies on a steel frame model are conducted to evaluate the performance and noise immunity of using the proposed network for data anomaly detection. The applicability of the proposed method for data anomaly classification is validated with the measured data of a practical supertall structure. The proposed method presents a remarkable performance on data anomaly detection, which reaches a 95.7% overall accuracy with practical engineering structural monitoring data, which demonstrates the effectiveness of data balancing and the robust classification capability of the proposed network.

• 한국실내디자인학회논문집
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• 제22권2호
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• pp.11-19
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• 2013

Korea Government have carried out various policies to save the Earth environment from global warming and environmental pollution. It has also executed the Green Building Certification Criteria(GBCC) in 2002. The GBCC of office building was executed in 2003 and was revised twice in 2010 and 2011. Concerns about green building construction were quite increasing to keep the building performances sustainable. The aims of this paper is to check the reliability of weighting factors and scoring difficulties in all assessment categories of GBCC and to suggest the amendment direction of the future assessment criteria for green building. For the study, the old and new version of GBCC were examined to present the revision direction of GBCC and the 10 cases certificated by the old and new version, respectively 5 were analysed to compare with the difficulties in obtaining the certification. According to the results of the study, the GBCC requires additional amendments about the assessment categories of the energy consumption monitoring and the building commissioning as required subjects in order to secure the building performances. In addition, the operation mamagement of the building need to be assessed more intensively.

• 한국정보통신학회논문지
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• 제11권9호
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• pp.1793-1798
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• 2007

헬스케어는 정보통신기술을 활용하여 원거리에서 대상자들의 건강상태에 대한 모니터링과 홈 기반의 보건의료 서비스를 제공하는 것이라 할 수 있다. 따라서 헬스케어 서비스는 응급상황 대처를 위한 경보서비스와, 진료자 및 가족에게 대상자와 댁내 환경을 모니터링 할 수 있는 원격지원 서비스로 분류할 수 있다. 여기서, 일반적인 유선 기반의 고정형 생체계측 시스템에서는 두 가지 서비스를 위해서, 실시간으로 높은 신뢰성을 갖는 데이터를 전송하는데 한계가 있다. 그러므로 대상자가 공간적으로 구속을 받지 않고 자유롭게 이동하면서 생체신호 계측 및 응급경보가 가능하도록, 무선 네트워크 환경에서 구현되는 휴대용 헬스케어 시스템을 구현하고자 한다.

• 지질공학
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• 제26권4호
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• pp.473-484
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• 2016

본 연구는 환경유해시설인 광물찌꺼기 적치장의 효과적 유지관리를 위한 모니터링 방안을 수립하기 위해 수행하였다. 광물찌꺼기 적치장 유지관리를 위한 모니터링은 세분된 점검항목 및 평가항목의 선정을 통해 상세한 조사가 필요하며, 조사결과를 효과적으로 활용하기 위하여 불량정도 및 그 진행성 여부에 대한 평가가 필요하다. 따라서 모니터링 항목을 옹벽구조물(콘크리트 옹벽, 석축, 돌망태) 및 일반시설물(차수층, 복토층, 사면, 광물찌꺼기, 우수배제시설, 침출수, 식생)로 점검항목을 세분하고, 각 항목별 모니터링 결과에 대한 상태평가를 수행하여 등급 및 점수화를 통해 체계적인 유지관리가 될 수 있도록 모니터링 개선안을 제안하였다. 개선안에 따른 현장 적용성 평가 결과, 기존 모니터링에 비해 최대 16건(우수배제시설)의 하자 발생 건수가 추가로 확인되는 등 기존 모니터링에 비해 세부적인 평가가 가능한 것으로 확인되었으며, 등급에 따른 광물찌꺼기 적치장별 종합점수는 금장광산이 89.3점으로 가장 양호하고 거풍광산이 22.2점, 화천광산이 27.8점으로 가장 불량한 것으로 확인되었다. 이와 같이 개선안을 적용할 경우, 보다 상세한 모니터링을 수행할 수 있고 각각의 항목에 대한 정량적인 평가가 가능하다. 이러한 정량적 평가는 향후 광물찌꺼기 적치장의 보수 우선순위를 결정하고 중점관리항목 선정, 유지보수 계획수립에 활용될 수 있을 것으로 판단된다.

• 중환자간호학회지
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• 제13권2호
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• pp.24-35
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• 2020

Purpose : This study aimed to determine whether the Korean Patient Classification System for Neonatal Care Nurses (KPCSN) properly measures neonatal intensive care needs and to compare the scale's results with those of the Workload Management System for Critical Care Nurses (WMSCN). Methods : Data were collected from the medical records of 157 patients who were admitted to the NICU of a university hospital, in D city. Two types of patient classification systems were applied to investigate the total points and distributions to investigate the total points and distributions by categories and compare relationships and classification groups between two scales. Finally, the score distribution among the classification groups was analyzed when the KPCSN was applied. Results : Scores on the KPCSN for the feeding, monitoring, and measure categories were 19.16±15.40, 16.88±3.52, and 9.13±4.78, respectively. Classification group distribution of the KPCSN was as follows : 1.9% for the first group, 24.2% for the second group, 58% for the third group, and 15.9% for the fourth group. The classification group distribution of the WMSCN was as follows: 35.7% for the third group, 61.1% for the fourth group, and 3.2% for the fifth group. Finally, the scores by categories were analyzed according to KPCSN classification group, and the characteristics of the patients' nursing needs were identified for each classification group. Conclusion : Results of this study indicate that the KPCSN effectively measures feeding needs, which account for many nursing activities in neonatal intensive care. Comparisons between the KPCSN and WMSCN classification group scores and distribution ratios verified the correlation and significance of nursing requirements.

• 한국식품조리과학회지
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• 제21권5호
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• pp.616-628
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• 2005

The purpose of this study was to monitor the current nutrition labeling practice on the packaging of the processed foods providing consumers with reliable nutrition information, which has been considered as a useful aid for food selection and a potent educational tool for nutrition in a daily life. The 2,214 processed foods purchased at the a wholesale market in July, 2003, were divided by food categories issued from the 2003 food codes and assessed in the terms of the nutrition composition labeling and nutrition claims. Nutrition composition labeling was found on 533 out of the 2,214 processed foods items. The findings of this study were as follows : Milk and dairy products had 66.4% of nutrition composition labeling, which was the largest percentage among the food categories. Tables format (71.3%) is the most widely used type of nutrition labeling. The title of nutrition composition labeling used the most widely was nutrition composition (71.3%). Nutrition composition included many different ways of expression, such as a table of nutrition composition, and indication of nutrition composition, etc. The expression unit of the nutrition composition labeling was use per 100g or 100mL (40.5%). The processed foods with nutrition claims were 18.0% (399 items). Nutrition claims were divided into two categories: nutrient content claims and nutrient comparative claims. The most frequently used nutrient content claims were contained (43.9%) and more or plus in the nutrient comparative claims (16.0%). Ca was the most popular item as a nutrition claim nutrient (33.6%).