• 응용통계연구
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• 제28권2호
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• pp.175-188
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• 2015

본 논문에서는 집단 약동/약력학 모형 추정을 위한 다양한 추정방법들을 이론적으로 비교, 분석하였다. 특히 확률적 표본을 이용한 방법들인 IMP, IMPMAP, SAEM 방법과 베이지안 방법의 이론적 배경과 이들의 성능을 자세히 살펴보고, 기존의 선형근사를 이용한 FO, FOCE 등의 방법과 비교 분석하였다. 확률적 표본을 이용한 추정방법들이 추정에 많은 시간이 소요된다는 문제점을 개선하기 위하여 좀 더 좋은 초기치를 찾는 방안으로 상대적으로 짧은 시간에 정확한 추정치를 계산해주는 ITS 방법을 이용하였다.

• Journal of Nutrition and Health
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• 제52권1호
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• pp.1-5
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• 2019

Purpose: This review describes the historical changes in nutrition philosophy from a reductionist to a holistic approach during the $20^{th}$ century. Also, the role and efficient use of a holistic approach to precision nutrition are discussed. Results: Over the past century, significant progress has been made in human nutrition research, unraveling fundamental mechanisms of single nutrients on single targets or pathways. This kind of a reductionist approach has helped to save populations from nutrient deficiency diseases and improve associated health outcomes in large parts of the world. However, a new set of nutrition problems, like obesity and diet-related chronic diseases, are growing each year worldwide, increasing the financial burden on the health care system. A linear cause-effect association between single nutrients and a single physiologic effect, is insufficient to solve the complex nutrition-health relationships. Research that involves a more holistic rather than reductionist approach is needed to tackle a new set of nutrition problems. Recent advances in technology, informatics, and statistical methods are enabling an understanding of the diversity of individuals and the complex interactions between foods and human bodies, leading to the concept of "precision nutrition." Conclusion: The emerging goal of precision nutrition is to provide tailored dietary advice for maintaining health and preventing obesity and diet-related chronic diseases. The parts are already being installed. To grab the complexity, reductionism and holism must be used interdependently.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.139-139
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• 2021

Flooding events often result from extreme precipitations driven by various climate mechanisms, which are often disregarded in flood risk assessments. To bridge this gap, we propose a climate-mechanism-based flood frequency analysis that accommodates the direct linkage between the dominant climate processes and risk management decisions. Several statistical methods have been utilized in this approach including the Markov Chain analysis, K-nearest neighbor (KNN) resampling approach, and Z-score-based jittering method. After that, the impacts of climate change are associated with the modification of the transition matrix (TM) and the application of the quantile mapping approach. For this study, we have selected the Nam River Basin, South Korea, to consider the heterogeneous impacts of the two climate mechanisms, including the Tropical Cyclone (TC) and non-TCs. Based on our results, while both climate mechanisms have significant impacts on future flood extremes, TCs have been observed to bring more significant and immediate impacts on the flood extremes. The results in this study have proven that the proposed approach can lead to a new insights into future flooding management.

• Journal of Korean Neurosurgical Society
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• 제29권8호
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• pp.1055-1062
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• 2000

Objectives : Burst fracture of the lower lumbar spine(L3-L5) is rare and has some different features compare to that of thoracolumbar junction. Lower lumbar spine is flexible segments located deeply, and has physiologic lordosis. All of these contribute to making surgical approach difficult. Generally, lower lumbar burst fracture is managed either anteriorly or posteriorly with various fixation and fusion methods. But there is no general guideline or consensus regarding the proper approach for such lesion. We have tried to find out the influencing factors for selecting the surgical approach through the analysis of lower lumbar burst fractures treated for last 4 years(1994.3-1998.3). Method : This study includes 15 patients(male : 10, female : 5, age range 20-59 years with mean age of 36.7 years, L3 : 8 cases, L4 : 5 cases, L5 : 2 cases). Patients were classified into anterior(AO) and posterior operated(PO) groups. We investigated clinical findings, injured column, operation methods, and changes in follow-up radiologic study (kyphotic angle) to determine the considerable factors in selecting the surgical approaches. Results : There were 5 AO and 10 PO patients. Anterior operation were performed with AIF with Kaneda or Z-plate and posterior operation were done with pedicle screw fixation with PLIF with cages or posterolateral fusion. Canal compression was 46.6% in AO and 38.8% in PO. The degree of kyphotic angle correction were 10.7 degree(AO) and 8.5 degree(PO), respectively. There was no statistical difference between anterior and posterior operation group. All patients showed good surgical outcome without complications. Conclusion : Anterior operation provided good in kyphotic angle correction and firm anterior strut graft, but it difficulty arose in accessing the lesions below L4 vertebra. While posterior approach showed less correction of kyphotic angle, it required less time and provided better results for accompanied adjacent lesion and pathology such as epidural hematoma. The level of injury, canal compression, biomechanics, multiplicity, and pathology are considered to be important factors in selection of the surgical approach.

• Journal of Korean Neurosurgical Society
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• 제65권3호
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• pp.457-468
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• 2022

Objective : The clinical management paradigm of skull base chordomas is still challenging. Surgical resection plays an important role of affecting the prognosis. Endonasal endoscopic approach (EEA) has gradually become the preferred surgical approach in most cases, but traditional transcranial surgery cannot be completely replaced. This study presents a comparison of the results of the two surgical strategies and a summary of the treatment algorithms for skull base chordomas. Methods : We retrospectively analyzed the surgical outcomes and follow-up data of 48 patients with skull base chordomas diagnosed pathologically who received transnasal midline approaches (TMA) and transcranial lateral approaches (TLA) from 2010 to 2020. Results : Among the 48 patients, 36 cases were adopted TMA and 12 cases were performed with TLA. In terms of gross total resection (GTR) rate, 27.8% in TMA and 16.7% in TLA and with EEA alone it was increased to 38.9%, while 29.7% in primary surgery. In TMA, the cerebrospinal fluid (CSF) leak remains the most common complication (13 cases, 36.1%), other main complications included death, cranial nerve palsy, hypopituitarism, all the comparisons were no statistical significance. The Karnofsky Performance Scale scores in TMA were all better than those in TLA at different time, and the overall survival (OS) and recurrence free survival/progression free survival was just the reverse. Conclusion : The EEA for skull base chordomas resection has improved the GTR rate, but transcranial approach is still an alternative approach. It is necessary to select an appropriate surgical approach based on the location and the pattern of tumor growth in order to obtain the best surgical outcomes.

• 한국지능시스템학회논문지
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• 제17권6호
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• pp.792-798
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• 2007

본 논문에서는 학습기법을 사용하지 않고 패턴분류의 성능을 최대화하면서 규칙의 수를 줄일 수 있는 통계적 정보기반 계층적 퍼지-러프 분류방법을 제안한다. 제안된 방법에서 통계적 정보는 계층적 퍼지-러프 분류 시스템에서 각 계층의 입력부 퍼지집합의 분할 구간을 추출하기 위해서 사용되었고, 러프집합은 통계적 정보로부터 추출된 분할 구간들과 연관된 퍼지 if-then 규칙의 수를 최소화하기 위해서 사용되었다. 제안된 방법의 효과성을 보이기 위해 Fisher의 IRIS 데이터를 사용한 기존 패턴분류 방법의 분류 정확도와 규칙들의 수를 비교하였다. 그 결과, 제안된 방법은 기존 방법들의 분류 성능과 유사함을 확인할 수 있었다.

• 한국전자파학회논문지
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• 제24권2호
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• pp.189-197
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• 2013

전자 통신 기술의 발전 추세에 따라 유비쿼터스 환경이 구축되면서 일상 생활에서 전자 기기의 밀집도는 폭발적으로 증가하는 추세를 보이고 있다. 이러한 다양한 전자 기기들이 ICT 건물 등의 사회 기반 시설에 설치될 시 이들 사이의 전자파 적합성 및 간섭 분석과 파악을 위해서는 효율적이고도 빠른 대형 구조물의 전자파 해석기법이 필수적이다. 이에 본 논문에서는 이러한 전자파 해석을 위하여 확률론적 기반의 PWB(Power Balance Method) 해석 방법을 소개하고 그 유용성을 고찰한다. 기존의 맥스웰 방정식에 입각한 결정론적 해석 결과와의 관계를 제시하기 위해 손실이 존재하는 2차원 직각 캐비티(cavity)에서 시뮬레이션을 수행하여, PWB 방법의 기저에 깔린 가정 및 통계적인 결과가 하나의 결정론적 문제에서 필드 분포의 부피 평균(volume average)에 해당함을 보였다. 복잡한 대형 구조물에서 full-wave 전자파 해석이 계산 비용과 시간적인 측면에서 큰 한계점이 있음은 이미 자명한 사실이므로, 통계적인 개념에 기반을 둔 본 PWB 해석 방법이 대형 구조물의 전자파 해석에 있어서 충분히 현실적인 대안이 될 것이다.

• 대한원격탐사학회지
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• 제15권2호
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• pp.107-117
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• 1999

본 연구에서는 원격탐사를 이용하여 수질 파라미터들을 평가하는데 기존의 다중 회귀나 밴드비 회귀 분석을 이용한 통계적인 방법과 신경망을 이용한 방법을 비교하였다. 사용된 영상은 1996년 3월 18일 대청호 유역의 Landsat TM 영상이며, 30개의 현장 실측치가 위성이 통과하는 시간대에 샘플링되었다. 적용된 신경망은 3개의 층으로 구성된 전향 신경망이며 훈련방법으로는 역전파를 사용하였다. 본 연구에서는 가용한 훈련 데이터 셀이 작으므로 cross-validation 방법이 적용되었다. 비록 기존의 회귀분석에 의한 결과도 어느 정도 유의하게 나왔지만, 신경망에 의한 결과가 훨씬 성공적인 수행을 보여주었다. 신경망을 이용한 수질평가는 신경망이 자료의 비선형적 속성을 잘 반영해주기 때문에 기존의 통계적 기법보다 훨씬 나은 결과를 제공한다고 판단된다.

• Computers and Concrete
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• 제16권6호
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• pp.919-932
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• 2015

This paper presents a new method for assessing the three-point-bending (3PB) strength of mortar beams in a non-destructive manner, based on neural network (NN) models. The models are based on the radial basis function (RBF) architecture and the fuzzy means algorithm is employed for training, in order to boost the prediction accuracy. Data for training the models were collected based on a series of experiments, where the cement mortar beams were subjected to various bending mechanical loads and the resulting pressure stimulated currents (PSCs) were recorded. The input variables to the NN models were then calculated by describing the PSC relaxation process through a generalization of Boltzmannn-Gibbs statistical physics, known as non-extensive statistical physics (NESP). The NN predictions were evaluated using k-fold cross-validation and new data that were kept independent from training; it can be seen that the proposed method can successfully form the basis of a non-destructive tool for assessing the bending strength. A comparison with a different NN architecture confirms the superiority of the proposed approach.

• 한국지능시스템학회논문지
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• 제12권6호
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• pp.503-510
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• 2002

본 논문에서는 비선형시스템에서 발생한 고장을 감지하고 분류하기 위해 신경회로망기반 다중고장모델과 통계적기법에 의한 고장진단 방법을 제안한다. 제안한 알고리듬에서는 시스템의 출력과 신경회로망 공칭모델 출력 사이의 오차가 미리 설정한 문턱 값을 넘으면 고장을 감지한다. 고장이 감지되면 고장분류기에서는 각 신경회로망 고장모델 출력과 시스템 출력 사이의 오차를 이용하여 통계적 기법으로 고장을 분류한다. 컴퓨터 시뮬레이션 결과로부터 제안한 고장진단방법이 비선형 시스템에서의 고장감지 및 분류문제에 잘 적용됨을 알 수 있다.