• 상하수도학회지
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• 제38권2호
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• pp.83-93
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• 2024

In this study, we present a sewer pipe inspection technique through a combination of active sonar technology and deep learning algorithms. It is difficult to inspect pipes containing water using conventional CCTV inspection methods, and there are various limitations, so a new approach is needed. In this paper, we introduce a inspection method using active sonar, and apply an auto encoder deep learning model to process sonar data to distinguish between normal and abnormal pipelines. This model underwent training on sonar data from a controlled environment under the assumption of normal pipeline conditions and utilized anomaly detection techniques to identify deviations from established standards. This approach presents a new perspective in pipeline inspection, promising to reduce the time and resources required for sewer system management and to enhance the reliability of pipeline inspections.

• 생명과학회지
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• 제25권11호
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• pp.1324-1330
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• 2015

운동에 종사하는 엘리트 운동선수나 동호인들은 지속적인 같은 동작의 반복, 잦은 경쟁스트레스의 경험, 그리고 신체적인 컨디션이 좋지 않은 상황에서의 과도한 훈련의 요구 때문에 근육, 건, 인대, 염좌 및 골절과 같은 부상을 비롯한 근골격계 질환을 야기한다. 그리고 과도한 오버리칭, 경쟁불안으로 인한 스트레스, 및 피로회복의 부족 등으로 운동기술의 정체를 비롯한 운동수행력의 감소는 물론 심리적인 스트레스와 면역반응의 감소를 경험하게 된다. 따라서 본 연구에서는 과훈련증후군의 원인과 증상 및 치료와 처치에 대해 분석하고 이러한 증후군과 면역반응과 연관성을 비교 및 분석하여 운동 동호인을 비롯한 운동 선수들에게 나타날 수 있는 면역력의 감소를 줄여, 운동수행력의 증진은 물론 건강유지와 면역력 회복을 도모하고자 한다. 본 연구의 목적을 달성하기 위해 본론에서는 과훈련 증후군에 대한 전반적인 내용을 실험연구를 비롯한 관련 연구논문을 중심으로 분석하였고, 아울러 과훈련 증후군과 면역반응 및 알레르기 면역반응과의 연관성에 대해 면밀한 분석을 실시하였다. 본 연구 결과를 토대로 많은 스포츠 현장에서 과훈련증후군에 관한 실험적인 연구와 면역반응 및 알레르기반응과의 연관성 분석을 토대로 한 실험적 연구가 진행되어야 할 것으로 여겨지며, 본 연구가 많은 운동선수들과 동호인들의 건강관리는 물론, 면역력의 증가를 도모하는 데에 도움을 줄 것으로 여겨진다.

• 한국항해항만학회지
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• 제32권6호
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• pp.459-464
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• 2008

본 논문은 파라미터 변화나 외란이 존재하는 환경에서 컨테이너 크레인의 트롤리 위치와 컨테이너의 흔들림을 효과적으로 제어할 수 있는 모델기반 퍼지제어기를 제안한다. 이를 위해 우선 파라미터 변화에 대응할 수 있는 모델링 기법인 T-S 퍼지모델을 구현하고, 소속함수의 파라미터를 실수코딩 유전알고리즘(RCGA)으로 조정하는 문제를 다룬다. 다음으로 퍼지모델의 각 서브시스템에 대해 LQ 제어기 법을 사용하여 서브제어기를 설계하고, 이렇게 설계된 서브제어기를 ROGA로 조정된 퍼지모델의 소속함수로 퍼지결합하여 제안하는 모델기반 퍼지제어기를 구성한다. 시뮬레이션을 통해 RCGA로 조정된 소속함수를 사용하는 퍼지모델은 컨테이너 크레인의 비선형 모델의 출력에 잘 추종하였고, 모델기반 퍼지제어기도 파라미터 변화와 외란이 존재하는 환경에서 강인한 제어를 수행하고 있음을 확인하였다.

• Korean Journal of Radiology
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• 제24권1호
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• pp.51-61
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• 2023

Objective: To develop and test a machine learning model for classifying human papillomavirus (HPV) status of patients with oropharyngeal squamous cell carcinoma (OPSCC) using ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) PET-derived parameters in derived parameters and an appropriate combination of machine learning methods in patients with OPSCC. Materials and Methods: This retrospective study enrolled 126 patients (118 male; mean age, 60 years) with newly diagnosed, pathologically confirmed OPSCC, that underwent ¹⁸F-FDG PET-computed tomography (CT) between January 2012 and February 2020. Patients were randomly assigned to training and internal validation sets in a 7:3 ratio. An external test set of 19 patients (16 male; mean age, 65.3 years) was recruited sequentially from two other tertiary hospitals. Model 1 used only PET parameters, Model 2 used only clinical features, and Model 3 used both PET and clinical parameters. Multiple feature transforms, feature selection, oversampling, and training models are all investigated. The external test set was used to test the three models that performed best in the internal validation set. The values for area under the receiver operating characteristic curve (AUC) were compared between models. Results: In the external test set, ExtraTrees-based Model 3, which uses two PET-derived parameters and three clinical features, with a combination of MinMaxScaler, mutual information selection, and adaptive synthetic sampling approach, showed the best performance (AUC = 0.78; 95% confidence interval, 0.46-1). Model 3 outperformed Model 1 using PET parameters alone (AUC = 0.48, p = 0.047) and Model 2 using clinical parameters alone (AUC = 0.52, p = 0.142) in predicting HPV status. Conclusion: Using oversampling and mutual information selection, an ExtraTree-based HPV status classifier was developed by combining metabolic parameters derived from ¹⁸F-FDG PET/CT and clinical parameters in OPSCC, which exhibited higher performance than the models using either PET or clinical parameters alone.

• Korean Journal of Radiology
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• 제21권8호
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• pp.1007-1017
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• 2020

Objective: The purpose of our study was to investigate the predictive abilities of clinical and computed tomography (CT) features for outcome prediction in patients with coronavirus disease (COVID-19). Materials and Methods: The clinical and CT data of 238 patients with laboratory-confirmed COVID-19 in our two hospitals were retrospectively analyzed. One hundred sixty-six patients (103 males; age 43.8 ± 12.3 years) were allocated in the training cohort and 72 patients (38 males; age 45.1 ± 15.8 years) from another independent hospital were assigned in the validation cohort. The primary composite endpoint was admission to an intensive care unit, use of mechanical ventilation, or death. Univariate and multivariate Cox proportional hazard analyses were performed to identify independent predictors. A nomogram was constructed based on the combination of clinical and CT features, and its prognostic performance was externally tested in the validation group. The predictive value of the combined model was compared with models built on the clinical and radiological attributes alone. Results: Overall, 35 infected patients (21.1%) in the training cohort and 10 patients (13.9%) in the validation cohort experienced adverse outcomes. Underlying comorbidity (hazard ratio [HR], 3.35; 95% confidence interval [CI], 1.67-6.71; p < 0.001), lymphocyte count (HR, 0.12; 95% CI, 0.04-0.38; p < 0.001) and crazy-paving sign (HR, 2.15; 95% CI, 1.03-4.48; p = 0.042) were the independent factors. The nomogram displayed a concordance index (C-index) of 0.82 (95% CI, 0.76-0.88), and its prognostic value was confirmed in the validation cohort with a C-index of 0.89 (95% CI, 0.82-0.96). The combined model provided the best performance over the clinical or radiological model (p < 0.050). Conclusion: Underlying comorbidity, lymphocyte count and crazy-paving sign were independent predictors of adverse outcomes. The prognostic nomogram based on the combination of clinical and CT features could be a useful tool for predicting adverse outcomes of patients with COVID-19.

• 한국정보과학회논문지:소프트웨어및응용
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• 제30권5_6호
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• pp.540-549
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• 2003

협력적 추천에서는 일반적으로 사용자 모델과 항목 모델이 사용되어진다. 사용자 모델은 사용자들간의 선호도 상관관계를 학습하고, 추천하고자 하는 항목에 대한 다른 사용자들의 선호도를 기반으로 그 항목을 추천한다. 이와 유사한 방식으로 항목 모델은 항목들간의 선호도 상관관계를 학습하고, 다른 항목들간의 선호도를 기반으로 추천 받는 사용자에게 항목을 추천한다. 본 논문에서는 추천 성능의 향상을 위해서 사용자 모델과 항목 모델간의 다양한 통합 방법을 제안한다. 제안하는 통합 방법으로는 순차적, 병렬적 통합 방법, 퍼셉트론 또는 다층 퍼셉트론을 이용한 통합 방법, 퍼지 규칙을 이용한 통합 방법 그리고 BKS를 적용한 방법이다. 본 실험에서는 통합 모델을 위해서 다층 퍼셉트론을 이용하여 사용자와 항목 모델을 각각 학습한다. 다층 퍼셉트론은 최근접 이웃방법이나 연관 규칙을 이용한 방법과 같은 기존의 추천 방법보다 연관된 항목들간의 가중치를 학습할 수 있고, 기호 데이타와 수치 데이타를 쉽게 처리할 수 있는 장점이 있다. 본 논문에서는 통합된 모델이 어떠한 단일 모델보다도 우수하고, 실험을 통하여 다층 퍼셉트론을 이용한 통합 방법이 다른 통합 방법보다 효율적인 통합 방법임을 보여주고 있다.

• Asian-Australasian Journal of Animal Sciences
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• 제26권9호
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• pp.1218-1228
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• 2013

Fat quality is determined by the composition of fatty acids. Genetic relationships between this composition and single nucleotide polymorphisms (SNPs) in the stearoyl-CoA desaturase1 (SCD1) gene were examined using 513 Korean native cattle. Single and epistatic effects of 7 SNP genetic variations were investigated, and the multifactor dimensionality reduction (MDR) method was used to investigate gene interactions in terms of oleic acid (C18:1), mono-unsaturated fatty acids (MUFAs) and marbling score (MS). The g.6850+77 A>G and g.14047 C>T SNP interactions were identified as the statistically optimal combination (C18:1, MUFAs and MS permutation p-values were 0.000, 0.000 and 0.001 respectively) of two-way gene interactions. The interaction effects of g.6850+77 A>G, g.10213 T>C and g.14047 C>T reflected the highest training-balanced accuracy (63.76%, 64.70% and 61.85% respectively) and was better than the individual effects for C18:1, MUFAs and MS. In addition, the superior genotype groups were AATTCC, AGTTCC, GGTCCC, AGTCCT, GGCCCT and AGCCTT. These results suggest that the selected SNP combination of the SCD1 gene and superior genotype groups can provide useful inferences for the improvement of the fatty acid composition in Korean native cattle.

• 한국경제지리학회지
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• 제11권3호
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• pp.334-349
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• 2008

본 연구에서는 고령친화산업의 개인 행위주체 네트워크 형성 과정을 지식창출 과정(SECI/ba 모델)에 적용하여 분석하였다. 고령친화산업과 관련된 해외탐방단, 세미나, 심포지엄, 각종 협의회, 교육프로그램, 사이버공간의 포럼 등은 사회화, 외부화, 종합화, 내면화 과정을 가능하게 하는 장(場)을 제공하였다. 이러한 만남의 장(시작의 장, 상호작용의 장, 사이버 장, 실행실습의 장)을 통해서 개인 행위주체들은 동일 지역에 입지하지 않더라도 네트워크를 형성할 수 있는 기회를 가질 수 있었다. 네트워크 형성 과정을 공간적 측면에서 고찰해 보면, 개인의 이동성을 이용한 일시적 지리적 근접성이 중요하고, 이를 통해 개인 행위주체들은 대면접촉을 통해 관계를 형성하고 네트워크를 구축할 수 있었다. 또한 인터넷 커뮤니티 등 가상공간에서의 만남이 네트워크 형성에 중요한 영향을 미치고 있었다.

• Physical Therapy Rehabilitation Science
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• 제3권1호
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• pp.7-12
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• 2014

Objective: The purpose of this study was to investigate the effects of a three dimensional balance trainer in combination with a video-game system and visual feedback on balance recovery and gait function in subacute stroke patients. Design: Randomized controlled trial. Methods: Twenty-three subacute stroke patients were assigned to either an experimental (n=12) or a control group (n=11) using a random permuted block design and sealed envelopes. The experimental group received additional 3-dimensional balance training combined with visual feedback and a game program for 30 min/day, 5 days/week for 4 weeks. Both groups received 30-min of conservative physical therapy sessions based on neurodevelopmental therapy. Before and after the 20 sessions, walking abilities were evaluated by the the GaitRite system and balances were evaluated using the Berg Balance Scale (BBS). The Trunk Impairment Scale (TIS) was used to assess trunk muscle performances. Results: After the 4-week intervention, BBS and TIS scores were significantly increased in both groups (p<0.05), and increases in these scores were significantly greater in the experimental group (p<0.05). After the 4-week intervention, gait speed and cadence were significantly increased in both groups (p<0.05), and as was observed for BBS and TIS scores, changes of gait speed and cadence were significantly greater in the experimental group (p<0.05). Conclusions: The study shows that the 3-dimensional balance trainer combined with visual biofeedback and a video-game system provides a therapeutic means for improving balance and gait ability in subacute stroke patients.

• Journal of the Optical Society of Korea
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• 제17권4호
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• pp.289-295
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• 2013

Although low-level laser therapy (LLLT) has been a valuable therapeutic technology in the clinic, its efficacy may be reduced in deep tissue layers due to strong light scattering which limits the photon density. In order to enhance the photon density in deep tissue layers, this study developed an optical tissue clearing (OTC) laser probe (OTCLP) system which can utilize four different OTC methods: 1) tissue temperature control from 40 to $10^{\circ}C$; 2) laser pulse frequency from 5 to 30 Hz; 3) glycerol injection at a local region; and 4) a combination of the aforementioned three methods. The efficacy of the OTC methods was evaluated and compared by investigating laser beam profiles in ex-vivo porcine skin samples. Results demonstrated that total (peak) intensity at full width at half maximum of laser beam profile when compared to control data was increased: 1) 1.21(1.39)-fold at $10^{\circ}C$; 2) 1.22 (1.49)-fold at a laser pulse frequency of 5 Hz; 3) 1.64 (2.41)-fold with 95% glycerol injection; 4) 1.86 (3.4)-fold with the combination method. In conclusion, the OTCLP system successfully improved the laser photon density in deep tissue layers and may be utilized as a useful tool in LLLT by increasing laser photon density.