• 한국의료질향상학회지
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• 제10권2호
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• pp.216-231
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• 2003

Objectives: To develop a model that predicts a death probability of acute myocardial infarction(AMI) patient, and to evaluate a performance of hospital services using the developed model. Methods: Medical records of 861 AMI patients in 7 general hospitals during 1996 and 1997 were reviewed by two trained nurses. Variables studied were risk factors which were measured in terms of severity measures. A risk model was developed by using the logistic regression, and its performance was evaluated using cross-validation and bootstrap techniques. The statistical prediction capability of the model was assessed by using c-statistic, $R^2$ as well as Hosmer-Lemeshow statistic. The model performance was also evaluated using severity-adjusted mortalities of hospitals. Results: Variables included in the model building are age, sex, ejection fraction, systolic BP, congestive heart failure at admission, cardiac arrest, EKG ischemia, arrhythmia, left anterior descending artery occlusion, verbal response within 48 hours after admission, acute neurological change within 48 hours after admission, and 3 interaction terms. The c statistics and $R^2$ were 0.887 and 0.2676. The Hosmer-Lemeshow statistic was 6.3355 (p-value=0.6067). Among 7 hospitals evaluated by the model, two hospitals showed significantly higher mortality rates, while other two hospitals had significantly lower mortality rates, than the average mortality rate of all hospitals. The remaining hospitals did not show any significant difference. Conclusion: The comparison of the qualities of hospital service using risk-adjusted mortality rates indicated significant difference among them. We therefore conclude that risk-adjusted mortality rate of AMI patients can be used as an indicator for evaluating hospital performance in Korea.

• Earthquakes and Structures
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• 제14권3호
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• pp.215-227
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• 2018

Supplemental passive control devices are widely considered as an important tool to mitigate the dynamic response of a building under seismic excitation. Nevertheless, a systematic method for strategically placing dampers in the buildings is not prescribed in building codes and guidelines. Many deterministic and stochastic methods have been proposed by previous researchers to investigate the optimum distribution of the viscous dampers in the steel frames. However, the seismic performances of the retrofitted buildings that are under large earthquake intensity levels or near collapse state have not been evaluated by any seismic research. Recent years, an increasing number of studies utilize genetic algorithms (GA) to explore the complex engineering optimization problems. GA interfaced with nonlinear response history (NRH) analysis is considered as one of the most powerful and popular stochastic methods to deal with the nonlinear optimization problem of damper distribution. In this paper, the effectiveness and the efficiency of GA on optimizing damper distribution are first evaluated by strong ground motions associated with the collapse failure. A practical optimization framework using GA and NRH analysis is proposed for optimizing the distribution of the fluid viscous dampers within the moment resisting frames (MRF) regarding the improvements of large drifts under intensive seismic context. Both a 10-storey and a 20-storey building are involved to explore higher mode effect. A far-fault and a near-fault earthquake environment are also considered for the frames under different seismic intensity levels. To evaluate the improvements obtained from the GA optimization regarding the collapse performance of the buildings, Incremental Dynamic Analysis (IDA) is conducted and comparisons are made between the GA damper distribution and stiffness proportional damping distribution on the collapse probability of the retrofitted frames.

• 한국정보통신학회논문지
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• 제18권5호
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• pp.1215-1223
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• 2014

멀티홉 무선네트워크에서 메시지 전송 경로는 경로 탐색 과정을 통해 설정하게 되는데 일반적으로 최단경로를 이용하게 된다. 그러나 이러한 경로는 네트워크 중앙부근의 노드들을 많이 이용하여 에너지 사용의 불균형 및 혼잡 발생 확률을 높여 메시지 전송 안정성을 떨어뜨리는 문제가 발생한다. 본 논문에서는 노드들의 잔여 에너지량을 고려하여 종단간 안정성 있는 메시지 전송 라우팅 프로토콜을 제안한다. 제안한 프로토콜은 링크성능평가척도로 ETX (Expected Transmission Count) 를 사용하며, 경로설정시 노드의 잔여 에너지량이 적은 노드들을 회피함으로써 경로 고장 확률을 줄이고 이로 인한 메시지 손실을 최소화하도록 하고 있다. 제안한 프로토콜의 성능을 평가하기 위해 QualNet 시뮬레이터를 이용하여 성능측정을 수행하였고, 이를 기존의 라우팅 프로토콜들과 비교하였다. 성능측정 결과 종단간 메시지 전송률 및 메시지 전송지연시간 등에 있어서 기존 신뢰성 보장 프로토콜인 MRFR 프로토콜과 유사하였지만 노드들의 부하균등성 측면에서 MRFR 프로토콜 보다 우수함을 보였다.

• 대한토목학회논문집
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• 제13권2호
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• pp.21-29
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• 1993

본 연구에서는 구조물의 사용성 한계상태와 유한요소 해석 결과를 기초한 랜덤 진동 이론에 의한 확률적 신뢰성 해석 방법에 대해 연구하였다. 한계상태 모형은 보다 실제적인 방사능 누출 한계 균열에 대한 사용성 한계상태로 정의하여 연구하였다. 차폐구조물은 SAP V-2를 이용하여 3차원 유한요소 해석을 하였으며, 본 연구에 적합하게 수정 개발한 HRAS 신뢰성 프로그램으로 신뢰성 해석을 수행하였다. 본 연구에서는 하중조합 설계규준 보정 기법을 이용하여 국내의 철근콘크리트 차폐 구조물에 적합한 하중계수를 제안하였으며, 현행 ASME 규준과 비교하였다. 제안한 하중계수는 시방서 목적과 잘 일치하며, 한계상태 확률이 일관성 있음을 입증하였다.

• 전자공학회논문지CI
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• 제45권4호
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• pp.41-52
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• 2008

유비쿼터스 서비스 환경에서는 연결의 신뢰성이 낮고 서비스를 제공하는 시스템에 대한 침입이나 서비스 실패가 발생할 확률이 높다. 따라서 유비쿼터스 컴퓨팅 환경에서는 본연의 서비스를 지연 없이 제공할 수 있는 시스템 능력, 즉 서비스 생존성을 제고해야할 필요가 있다. 본 논문에서는 유비쿼터스 정보 서비스 환경에서 결함감내 Jini 서비스 개발을 돕는 Jgroup/ARM 프레임워크를 분석한다. 이 분석을 토대로 보안성과 가용성 서비스 품질을 만족하는 침입감내 Jini 서비스 구조를 제시한다. 제시된 침입감내 Jini 서비스 구조는 네트워크 분할이나 서버 붕괴와 같은 결함뿐만 아니라 취약점을 악용한 공격으로부터 시스템을 보호할 수 있으며 심리스 서비스 지속이 가능하도록 낮은 응답지연의 성능을 보여준다. 테스트베드를 통해 실험한 결과, 서비스 품질 저하를 무시할 수 있는 수준에서 높은 보안성과 가용성을 제공할 수 있음을 확인하였다.

• 한국통신학회논문지
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• 제36권1A호
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• pp.58-66
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• 2011

본 논문은 펨토셀 환경에서의 셀 간 간섭 회피를 위한 자기 조직화된 자완 할당 기법을 제안하고 컴퓨터 모의실험을 통해 성능을 평가한다. 두 단계로 이루어진 제안 기법은 선(先) 생성된 펨토셀의 기(旣) 사용 주파수를 후(後)생성된 펨토셀에게 양보 가능하다는 개념을 도입함으로써 펨토셀 등록 실패율을 줄이고 간섭을 회피하는 주파수 할당이 가능하도록 한다. 첫 번째 "초기 주파수 할당" 단계에서 각 펨토셀은 생성과 동시에 스캐닝을 통해 인접 펨토셀 정보를 수집하고 이 정보를 기반으로 이웃 펨토셀과 간섭이 없는 주파수를 사용 주파수로 선택한다. 첫 번째 단계에서 사용 주파수를 획득하지 못한 경우, 생성된 펨토셀은 두 번째 "주파수 조정" 단계를 통해 이웃 펨토셀이 사용하는 주파수를 조정함으로써 자신이 사용할 주파수를 획득한다. 컴퓨터 모의실험 결과는 등록 실패율 측면에서 제안한 방식이 기존 방식보다 우수함을 보여준다.

• Geomechanics and Engineering
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• 제34권6호
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• pp.597-609
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• 2023

One of the applicable methods for the stabilization of soil walls is the nailing system which consists of tensile struts. The stability and safety of soil nail wall systems are influenced by the geometrical parameters of the nailing system. Generally, the determination of nailing parameters in order to achieve optimal performance of the nailing system for the safety of soil walls is defined in the framework of optimization problems. Also, according to the various uncertainty in the mechanical parameters of soil structures, it is necessary to evaluate the reliability of the system as a probabilistic problem. In this paper, the optimal design of the nailing system is carried out in deterministic and probabilistic cases using meta-heuristic and reliability-based design optimization methods. The colliding body optimization algorithm and first-order reliability method are used for optimization and reliability analysis problems, respectively. The objective function is defined based on the total cost of nails and safety factors and reliability index are selected as constraints. The mechanical properties of the nailing system are selected as design variables and the mechanical properties of the soil are selected as random variables. The results show that the reliability of the optimally designed soil nail system is very sensitive to uncertainty in soil mechanical parameters. Also, the design results are affected by uncertainties in soil mechanical parameters due to the values of safety factors. Reliability-based design optimization results show that a nailing system can be designed for the expected level of reliability and failure probability.

• Geomechanics and Engineering
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• 제25권1호
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• pp.17-30
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• 2021

This paper develops a convenient approach for deterministic and probabilistic evaluations of tunnel face stability using support vector machine classifiers. The proposed method is comprised of two major steps, i.e., construction of the training dataset and determination of instance-based classifiers. In step one, the orthogonal design is utilized to produce representative samples after the ranges and levels of the factors that influence tunnel face stability are specified. The training dataset is then labeled by two-dimensional strength reduction analyses embedded within OptumG2. For any unknown instance, the second step applies the training dataset for classification, which is achieved by an ad hoc Python program. The classification of unknown samples starts with selection of instance-based training samples using the k-nearest neighbors algorithm, followed by the construction of an instance-based SVM-KNN classifier. It eventually provides labels of the unknown instances, avoiding calculate its corresponding performance function. Probabilistic evaluations are performed by Monte Carlo simulation based on the SVM-KNN classifier. The ratio of the number of unstable samples to the total number of simulated samples is computed and is taken as the failure probability, which is validated and compared with the response surface method.

• 한국해양공학회지
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• 제29권2호
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• pp.186-190
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• 2015

$TiO_2$ nanoparticles can be used to improve the performance of carbon fiber-reinforced epoxy resin composites. In this study, the effect of the size of $TiO_2$ nanoparticles on the mechanical properties of carbon fiber-reinforced epoxy resin composites was investigated. The size of the $TiO_2$ nanoparticles was easily controlled using heat treatment. The size of the $TiO_2$ nanoparticles for this study were20nm, 100nm, and 200nm. Three types of carbon fibers with different diameters were also used in this study. The carbon fiber-reinforced epoxy resin composites with 20-nm $TiO_2$ powder showed the highest tensile strength compared to the other types of CFRP, regardless of the fiber maker or fiber diameter. The size of the $TiO_2$ powder and the diameter of the carbon fiber strongly affected the interfacial properties of all kinds of CFRP in this study.

• Smart Structures and Systems
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• 제22권4호
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• pp.441-457
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• 2018

Characteristic parameter values of seismic isolators deviate from their nominal design values due to uncertainties and/or errors in their material properties and element dimensions, etc. Deviations may increase over service life due to environmental effects and service conditions. For accurate evaluation of the seismic safety level, all such effects, which would result in deviations in the structural response, need to be taken into account. In this study, the sensitivity of the probability of failure of the structures equipped with nonlinear base isolation systems to the uncertainties in various isolation system characteristic parameters is investigated in terms of various isolation system and superstructure response parameters in the context of a realistic three-dimensional base-isolated building model via Monte Carlo Simulations. The inherent record-to-record variability nature of the earthquake ground motions is also taken into account by carrying out analyses for a large number of ground motion records which are classified as those with and without forward-directivity effects. Two levels of nominal isolation periods each with three different levels of uncertainty are considered. Comparative plots of cumulative distribution functions and related statistical evaluation presented here portray the potential extent of the deviation of the structural response parameters resulting from the uncertainties and the uncertainty levels considered, which is expected to be useful for practicing engineers in evaluating isolator test results for their projects.