• 한국통신학회논문지
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• 제36권3A호
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• pp.205-214
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• 2011

3GPP LTE (3rd Generation Project Partnership Long Tenn Evolution)에서는 SFN (Single Frequency Network) 환경에서 동일 데이터를 복수의 단말에 동시에 전송하는 무선 멀티캐스트 기술에 대한 연구가 활발하게 진행 중이다. 이러한 환경에서 효율적인 데이터 전송을 위해서는 멀티캐스트 커버리지 요구사항을 만족하는 최적의 전송 기법을 선택해야 하며 이를 위해 단말들의 수신 성능에 대한 정보가 반드시 필요하다. 하지만 실제 시스템에서 매 순간마다 모든 단말의 수신 성능을 피드백 받는 것은 상당한 역방향 링크의 채널자원을 필요로 한다. 이러한 문제를 해결하기 위해 본 논문에서는 단말의 수신 성능에 대한 예측을 바탕으로 멀티캐스트 커버리지를 예측하는 알고리즘을 제안하고 성능을 비교분석 하였다. 제안한 알고리즘은 각각의 단말이 자신의 수선 성공 여부 패턴에 따라 자신의 상태를 결정하고, 상태 천이 확률을 계산한다. 이를 일정한 주기 마다 기지국에 피드백하고, 기지국은 이러한 정보를 바탕으로 멀티캐스트 커버리지를 예측한다. 시뮬레이션을 통해 제안된 방법을 통한 커버리지 예측이 가능함을 확인하였다.

• Physical Therapy Rehabilitation Science
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• 제11권3호
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• pp.285-295
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• 2022

Objective: The purpose of this study is to use logistic regression and decision tree analysis to identify the factors that affect the success or failurein the national physical therapy examination; and to build and compare predictive models. Design: Secondary data analysis study Methods: We analyzed 76,727 subjects from the physical therapy national examination data provided by the Korea Health Personnel Licensing Examination Institute. The target variable was pass or fail, and the input variables were gender, age, graduation status, and examination area. Frequency analysis, chi-square test, binary logistic regression, and decision tree analysis were performed on the data. Results: In the logistic regression analysis, subjects in their 20s (Odds ratio, OR=1, reference), expected to graduate (OR=13.616, p<0.001) and from the examination area of Jeju-do (OR=3.135, p<0.001), had a high probability of passing. In the decision tree, the predictive factors for passing result had the greatest influence in the order of graduation status (x²=12366.843, p<0.001) and examination area (x²=312.446, p<0.001). Logistic regression analysis showed a specificity of 39.6% and sensitivity of 95.5%; while decision tree analysis showed a specificity of 45.8% and sensitivity of 94.7%. In classification accuracy, logistic regression and decision tree analysis showed 87.6% and 88.0% prediction, respectively. Conclusions: Both logistic regression and decision tree analysis were adequate to explain the predictive model. Additionally, whether actual test takers passed the national physical therapy examination could be determined, by applying the constructed prediction model and prediction rate.

• 한국산학기술학회논문지
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• 제15권8호
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• pp.4881-4894
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• 2014

본 논문은 2009년~2012년까지 코스닥시장에서 상장폐지된 기업 중 제조업을 영위하는 83개사를 부실기업표본으로 선정하고 동종품목 혹은 동종 산업군에 속하는 정상기업 83개사와 함께 쌍대표본으로 표본기업을 구성하였다. 상장폐지직전 5년간 75개의 재무적 비율을 부실기업과 정상기업 두 그룹의 평균차이분석을 통하여 5년 연속 유의미한 변수로 출현한 15개 변수를 선정하여 단일변량분석(이원분류법)과 다변량분석(로지스틱회귀분석 및 판별분석)을 진행하였다. 분석 결과, 로지스틱회귀분석모형의 판별력(분류정확도)이 가장 높게 나타났다. 본 연구는 기업부실이 장기간에 걸쳐 서서히 진행된다는 점을 감안하여 상장폐지직전 5년 전 자료까지 고려하여 기업부실을 예측함으로써 기존 선행연구들이 상장폐지 직전 3년 전 자료로 기업부실을 예측한 것과 달리 보다 조기에 기업부실을 예측하려고 시도한 점과 일반 이해관계자들도 쉽게 접근할 수 있는 이원분류법(단일변량분석)과 통계적으로 복잡한 다변량분석을 비교분석한 것도 기존 선행연구와 차별화된다.

• The Journal of Advanced Prosthodontics
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• 제16권3호
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• pp.151-162
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• 2024

PURPOSE. This study aimed to analyze factors influencing the success and failure of implant prostheses and to estimate the lifespan of prostheses using standardized evaluation criteria. An online survey platform was utilized to efficiently gather large samples from multiple institutions. MATERIALS AND METHODS. During the one-year period, patients visiting 16 institutions were assessed using standardized evaluation criteria (KAP criteria). Data from these institutions were collected through an online platform, and various statistical analyses were conducted. Risk factors were assessed using both the Cox proportional hazard model and Cox regression analysis. Survival analysis was conducted using Kaplan-Meier analysis and nomogram, and lifespan prediction was performed using principal component analysis. RESULTS. The number of patients involved in this study was 485, with a total of 841 prostheses evaluated. The median survival was estimated to be 16 years with a 95% confidence interval. Factors found to be significantly associated with implant prosthesis failure, characterized by higher hazard ratios, included the 'type of clinic', 'type of antagonist', and 'plaque index'. The lifespan of implant prostheses that did not fail was estimated to exceed the projected lifespan by approximately 1.34 years. CONCLUSION. To ensure the success of implant prostheses, maintaining good oral hygiene is crucial. The estimated lifespan of implant prostheses is often underestimated by approximately 1.34 years. Furthermore, standardized form, online platform, and visualization tool, such as nomogram, can be effectively utilized in future follow-up studies.

• 한국컴퓨터정보학회논문지
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• 제23권10호
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• pp.57-63
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• 2018

The operating system for an isolated microgrid, which is completely disconnected from the central power system, aims at preventing blackouts and minimizing power generation costs of diesel generators through efficient operation of the energy storage system (ESS) that stores energy produced by renewable energy generators and diesel generators. In this paper, we predict the amount of renewable energy generation using the weather forecast and build an optimal diesel power generation plan using a genetic algorithm. In order to avoid inefficiency due to inaccurate prediction of renewable energy generation, our search algorithm imposes penalty on candidate diesel power generation plans that fail to maintain the SOC (state of charge) of ESS at an appropriate level. Simulation experiments show that our optimization method for maintaining an appropriate SOC balance can prevent the blackout better when compared with the previous method.

• Steel and Composite Structures
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• 제12권4호
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• pp.325-350
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• 2012

Concrete filled steel hollow structural sections (CFSs) are an efficient, sustainable, and attractive option for both ambient temperature and fire resistance design of columns in multi-storey buildings and are becoming increasingly common in modern construction practice around the world. Whilst the design of these sections at ambient temperatures is reasonably well understood, and models to predict the strength and failure modes of these elements at ambient temperatures correlate well with observations from tests, this appears not to be true in the case of fire resistant design. This paper reviews available data from furnace tests on CFS columns and assesses the statistical confidence in available fire resistance design models/approaches used in North America and Europe. This is done using a meta-analysis comparing the available experimental data from large-scale standard fire tests performed around the world against fire resistance predictions from design codes. It is shown that available design approaches carry a very large uncertainty of prediction, suggesting that they fail to properly account for fundamental aspects of the underlying thermal response and/or structural mechanics during fire. Current North American fire resistance design approaches for CFS columns are shown to be considerably less conservative, on average, than those used in Europe.

• 약학회지
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• 제57권6호
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• pp.412-419
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• 2013

Drug discovery and development processes are time consuming and costly endeavors. It has been reported that on average it takes 10 to 15 years and costs more than $ 1billion to bring a molecule from discovery to market. Compounds fail for various reasons but one of the significant reasons that accounts for failures in clinical trials is poor prediction/understanding of pharmacokinetics and drug metabolism in human. In an effort to improve the number of compounds that exhibit optimal absorption, distribution, metabolism, elimination (ADME), and pharmacokinetic properties in human, drug metabolism, pharmacokinetic scientists have been continually developing new technologies and compound screening strategies. Over the last few years, accelerator mass spectrometry (AMS) and its applications to preclinical/clinical pharmacokinetics and ADME studies have significantly increased, particularly for new chemical/biological entities that are difficult to support with conventional radiolabel studies. In this review, the application of AMS for micro-dosing, micro-tracer absolute bioavailability, mass balance and metabolite profiling studies will be discussed.

• Journal of the Korean Data and Information Science Society
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• 제25권6호
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• pp.1333-1343
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• 2014

본 연구는 일변량 금융지수의 변동성 모형에서 GARCH(1,1) 모형이 여러 복잡한 GARCH 확장 모형에 비교해서 결코 뒤쳐지지 않는다는 Hansen과 Lunde (2005) 연구를 다변량 변동성으로 확장한다. 또한 모형의 비교 방법으로 예측값에 기반한 평균제곱예측오차 (MSPE) 뿐 만 아니라 리스크 관리 측면에서 최대 손실 금액을 나타내는 VaR 및 사후 검정인 실패율을 동시에 고려하였다. 모의실험 결과 다변량 변동성의 경우에서도 GARCH 모형이 예측력은 크게 다르지는 않았으나 리스크 관리 측면에서는 좀 더 신중한 판단을 요구함을 보인다. 또한 최근 10년동안의 KOSPI, NASDAQ 및 HANG SENG의 주가 지수 실증 자료를 통하여 리스크 관리 측면에서의 다변량 GARCH 모형 선택에 대해서 논의한다.

• 품질경영학회지
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• 제47권1호
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• pp.75-86
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• 2019

Purpose: It is essential for the steel industry to produce steel products without unexpected downtime to reduce costs and produce high quality products. A hot strip rolling mill consists of many mechanical and electrical units. In condition monitoring and diagnosis, various units could fail for unknown reasons. Methods: In this study, we propose an effective method to detect units with abnormal status early to minimize system downtime. The early warning problem with various units was first defined. An autoencoder was modeled to detect abnormal states. An application of the proposed method was also implemented in a simulated field-data analysis. Results: We can compare images of original data and reconstructed images, as well as visually identify differences between original and reconstruction images. We confirmed that normal and abnormal states can be distinguished by reconstruction error of autoencoder. Experimental results show the possibility of prediction due to the increase of reconstruction error from just before equipment failure. Conclusion: In this paper, hot strip roughing mill monitoring method using autoencoder is proposed and experiments are performed to study the benefit of the autoencoder.

• Advances in materials Research
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• 제11권1호
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• pp.59-73
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• 2022

In the construction industry, thin-walled frame elements with very slender open cross-sections and low torsional stiffness are often subjected to a complex loading condition where axial, bending, shear and torsional stresses are present simultaneously. Hence, these often fail in instability even before the yield capacity is reached. One of the most common instability conditions associated with thin-walled structures is Lateral Torsional Buckling (LTB). In this study, a first order Generalized Beam Theory (GBT) formulation and numerical analysis of cold-formed steel lipped channel beams (C80×40×10×1, C90×40×10×1, C100×40×10×1, C80×40×10×1.6, C90×40×10×1.6 and C100×40×10×1.6) subjected to uniform moment is carried out to predict pure Lateral Torsional Buckling (LTB). These results are compared with the Finite Element Analysis of the beams modelled with shell elements using ABAQUS and analytical results based on Euler's buckling formula. The mode wise deformed shape and modal participation factors are obtained for comparison of the responses along with the effect of varying the length of the beam from 2.5 m to 10 m. The deformed shapes of the beam for different modes and GBTUL plots are analyzed for comparative conclusions.