• Smart Structures and Systems
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• 제30권4호
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• pp.421-432
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• 2022

Regarding the high significance of correct pan evaporation modeling, this study introduces two novel neuro-metaheuristic approaches to improve the accuracy of prediction for this parameter. Vortex search algorithms (VSA), sunflower optimization (SFO), and stochastic fractal search (SFS) are integrated with a multilayer perceptron neural network to create the VSA-MLPNN, SFO-MLPNN, and SFS-MLPNN hybrids. The climate data of Arcata-Eureka station (operated by the US environmental protection agency) belonging to the years 1986-1989 and the year 1990 are used for training and testing the models, respectively. Trying different configurations revealed that the best performance of the VSA, SFO, and SFS is obtained for the population size of 400, 300, and 100, respectively. The results were compared with a conventionally trained MLPNN to examine the effect of the metaheuristic algorithms. Overall, all four models presented a very reliable simulation. However, the SFS-MLPNN (mean absolute error, MAE = 0.0997 and Pearson correlation coefficient, R_P = 0.9957) was the most accurate model, followed by the VSA-MLPNN (MAE = 0.1058 and R_P = 0.9945), conventional MLPNN (MAE = 0.1062 and R_P = 0.9944), and SFO-MLPNN (MAE = 0.1305 and R_P = 0.9914). The findings indicated that employing the VSA and SFS results in improving the accuracy of the neural network in the prediction of pan evaporation. Hence, the suggested models are recommended for future practical applications.

• 한국식품위생안전성학회지
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• 제14권4호
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• pp.365-371
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• 1999

인삼시료에 있는 quintozene, tolclofos-methyl 그리고 procymidone 등의 농약성분을 추출하기 위한 방법으로서 microwave를 이용할 수 있을 지의 여부와 인삼을 가공제품으로 만들기 전에 microwave를 이용하여 잔류농약 성분을 신속히 추출하여 제거시킬 수 있는지 알고자 하였다. 인삼분말 시료에 hexane을 추출용매로 이용한 microwave 추출의 최적 조건은 power 150 watts, 추출시간 2분이었고 그 추출 효율은 Soxhlet으로 7시간 동안 가열 환류 추출한 결과를 지수 100으로 하였을 때 quintozene 100, tolclofos-methyl 92, procymidone 100으로 거의 동일한 수준으로 나타났다. 그리고 microwave 추출법을 사용함으로써 실제 Soxhlet 추출법에서 사용된 용매양의 최소 7배 이상 감소시킬 수 있었고 추출 시간 또한 7시간에서 2분으로 훨씬 단축되었다. 인삼 엑기스 제조 전 잔류농약 성분의 제거 실험에 있어서 45%나 60% ethyl alcohol을 용매로 사용하고 microwave로 power 150 watts 추출시간 2분 이내로 1회 추출하여 quintozene 100%, tolclofos-methyl 69%, procymidone 83%정도의 제거효과를 얻었다.

• 복식
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• 제63권7호
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• pp.31-48
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• 2013

It goes without saying that Yi Mae-Bang, as the sole owner of two of the intangible cultural assets including No. 27 Seungmu in 1987 and No. 97 Salpuri Chum, is a top-notch Korean traditional dancer. Moreover, in regards to traditional clothing, he is also known as the only traditional dancer who directly performs on stage as well as analyzes traditional clothing in order to apply them into his own dance performances by designing and producing them to meet his artistic spirit. In order to examine how Yi Mae-Bang's unique and creative stage clothing was developed, and what kind of process it went through to possess its unique style, which draws the attentions of people with its harmony of beauty and dance, this research first examined the change of the composition through the yearly picture data. Before 1984, the composition of the Salpuri Chum clothes changed by putting on 'Jeogori' on the 'Mudong-Bok' without the 'Kweia' (sleeveless), and in 1999 'Mudong-Bok' became widened with the decoration of embroidered hem making it more attractively colorful. after 2000 it became more splendidly adorned by embroidering hem on widened Mudong-Bok and tucking 'Kweja' in the layers which created silhouette like a dress that is seemingly wider and luxuriant than a skirt. One of notable features of Yi Mae-Bang's Salpuri is that its cloth and cuff ribbons are lightly colored in different colors enclosing the tip part. As for the ribbons, it was also changed as time went by from direct-cutting of the cloth just like the A-line of Mudong-Bok to drawing a diagonal line less than 5cm above the ribbon and 8cm below the ribbon so that it takes the form of getting widened as it gets to the lower part, and its length was also elongated in proportion to that of the bottom of Mudong-Bok.

• Safety and Health at Work
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• 제9권3호
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• pp.319-325
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• 2018

Background: Prolonged neck flexion during smartphone use is known as a factor of neck pain and alteration of neck muscle activity. Studies on the effects of shoulder taping on neck discomfort and neck muscle responses while texting on a smartphone are still lacking. The aim of this study was to examine the effects of shoulder taping on neck discomfort using a numerical rating scale, and neck muscle activity and fatigue using a surface electromyography during a texting task on a touchscreen smartphone. Methods: Twenty-five healthy adolescents used the dominant hand to perform a 30-minute texting task using a touchscreen smartphone at two separate times under one of the following two conditions: taping across the upper trapezius muscle and no taping. Neck discomfort, normalized root mean square, and normalized median frequency slopes for upper trapezius, cervical erector spinae, and sternocleidomastoid muscles were recorded. Results: The results revealed that shoulder taping provided significantly lower neck discomfort than no taping (p < 0.001). However, shoulder taping did not significantly alter normalized root mean square and normalized median frequency slope values of all muscles when compared with no taping controls. Conclusion: Shoulder taping reduces neck discomfort but does not affect neck muscle activity and fatigue while texting on a touchscreen smartphone.

• 한국시뮬레이션학회논문지
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• 제24권3호
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• pp.89-96
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• 2015

무기체계를 보다 효과적으로 사용하기 위해 다양한 표적 유형별로 무기효과 평가방법이 발전되었다. 본 연구에서는 3차원 건물표적에 대한 공격시 파괴효과를 평가할 수 있는 가장 효과적인 방법론을 찾고자 하였다. 가능한 건물표적에 대한 파괴효과 평가 방법에는 기대손실파괴확률(EFD)과 단발명중파괴확률(SSPD)이 있다. 여기에 건물표적의 크기, 무기체계 원형공산오차(CEP), 건물평균유효파괴면적(MAE_bldg), 건물표적과 유도무기 조우조건인 입사각을 입력변수로 하여 무기체계의 파괴효과를 계산하였다. 무기체계 특성 CEP와 MAE_bldg의 변화에 따른 EFD와 SSPD 결과를 비교하고 입사각의 변화량과 표적건물 높이에 따른 파괴효과를 비교함으로써 3차원 건물표적에 대한 적합성을 분석하였다.

• Journal of Sleep Medicine
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• 제15권2호
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• pp.48-54
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• 2018

Objectives: The aim of this study was to develop a predicting model for the optimal continuous positive airway pressure (CPAP) for obstructive sleep apnea (OSA) patient with obesity by using a machine learning. Methods: We retrospectively investigated the medical records of 162 OSA patients who had obesity [body mass index (BMI) ≥ 25] and undertaken successful CPAP titration study. We divided the data to a training set (90%) and a test set (10%), randomly. We made a random forest model and a least absolute shrinkage and selection operator (lasso) regression model to predict the optimal pressure by using the training set, and then applied our models and previous reported equations to the test set. To compare the fitness of each models, we used a correlation coefficient (CC) and a mean absolute error (MAE). Results: The random forest model showed the best performance {CC 0.78 [95% confidence interval (CI) 0.43-0.93], MAE 1.20}. The lasso regression model also showed the improved result [CC 0.78 (95% CI 0.42-0.93), MAE 1.26] compared to the Hoffstein equation [CC 0.68 (95% CI 0.23-0.89), MAE 1.34] and the Choi's equation [CC 0.72 (95% CI 0.30-0.90), MAE 1.40]. Conclusions: Our random forest model and lasso model ($26.213+0.084{\times}BMI+0.004{\times}$apnea-hypopnea index+$0.004{\times}oxygen$ desaturation index-$0.215{\times}mean$ oxygen saturation) showed the improved performance compared to the previous reported equations. The further study for other subgroup or phenotype of OSA is required.

• 한국전자통신학회논문지
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• 제16권4호
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• pp.625-632
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• 2021

본 논문은 잡음감쇠기에서 CNN(Convolutional Neural Network) 계층의 필터 수가 성능에 미치는 영향을 연구하였다 이 시스템은 적응필터 대신 신경망 예측필터를 이용하며 심층학습방법으로 잡음을 감쇠한다. 64-뉴런, 16-커널 CNN 필터와 오차 역전파 알고리즘을 이용하여 잡음이 포함된 음성신호로부터 음성을 추정한다. 본 연구에서 필터 수에 대한 잡음감쇠기의 성능을 검증하기 위하여 Keras 라이브러리를 사용한 프로그램을 작성하고 시뮬레이션을 실시하였다. 시뮬레이션 결과, 본 시스템은 필터 수가 16일 때 MSE(Mean Squared Error) 및 MAE(Mean Absolute Error) 값이 가장 작은 것으로 나타났으며 필터가 4개 일 때 성능이 가장 낮은 것을 볼 수 있다. 그리고 필터가 8개 이상이 되면 필터 수에 따라 MSE 및 MAE 값이 크게 차이나지 않는 것을 보여주었다. 이러한 결과로부터 음성신호의 주요 특징을 표현하기 위해서는 약 8개 이상의 필터를 사용해야 한다는 것을 알 수 있다.

• 대한방사선기술학회지:방사선기술과학
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• 제46권2호
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• pp.131-139
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• 2023

High-dose I-131 used for the treatment of thyroid cancer causes localized exposure among radiology technologists handling it. There is a delay between the calibration date and when the dose of I-131 is administered to a patient. Therefore, it is necessary to directly measure the radioactivity of the administered dose using a dose calibrator. In this study, we attempted to apply machine learning modeling to measured external dose rates from shielded I-131 in order to predict their radioactivity. External dose rates were measured at 1 m, 0.3 m, and 0.1 m distances from a shielded container with the I-131, with a total of 868 sets of measurements taken. For the modeling process, we utilized the hold-out method to partition the data with a 7:3 ratio (609 for the training set:259 for the test set). For the machine learning algorithms, we chose linear regression, decision tree, random forest and XGBoost. To evaluate the models, we calculated root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE) to evaluate accuracy and R² to evaluate explanatory power. Evaluation results are as follows. Linear regression (RMSE 268.15, MSE 71901.87, MAE 231.68, R² 0.92), decision tree (RMSE 108.89, MSE 11856.92, MAE 19.24, R² 0.99), random forest (RMSE 8.89, MSE 79.10, MAE 6.55, R² 0.99), XGBoost (RMSE 10.21, MSE 104.22, MAE 7.68, R² 0.99). The random forest model achieved the highest predictive ability. Improving the model's performance in the future is expected to contribute to lowering exposure among radiology technologists.

• Journal of Ecology and Environment
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• 제48권1호
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• pp.110-119
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• 2024

Background: The Mae Kha Canal is one of Chiang Mai's most important waterways. It supports local agriculture, irrigation, and transportation as well as provides stormwater drainage to prevent floods. Due to the unregulated rapid urbanization of the city and lack of efficient waste and wastewater management systems over the past few decades, the canal has become heavily polluted. This study aimed to evaluate the water quality of Mae Kha canal through assessment of the physico-chemical water quality and coliform bacteria. Moreover, benthic macroinvertebrates were samples and assessed using the Biological Monitoring Working Party (BMWP^Thai) and Average Score Per Taxon (ASPT^Thai) as biological indices. Results: The physico-chemical showed low dissolved oxygen levels, high levels of ammonia and phosphates, and elevated levels of biochemical oxygen demand, indicating that the water quality had significantly deteriorated. The canal was found to be heavily polluted, with most sites falling into the polluted to very heavily polluted. Coliform bacteria analysis revealed alarmingly high levels of total coliform bacteria and fecal coliform bacteria in the canal. The BMWP^Thai and ASPT^Thai scores indicated poor to very poor water quality. Conclusions: The physico-chemical and coliform bacteria indicated that the water quality of the Mae Kha canal had significantly deteriorated. The biological indices also indicated the poor to very poor water quality. This study underscores the urgent need for comprehensive remediation efforts, emphasizing strategic planning, investment, and community engagement to revive the canal's ecological health and water quality.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2004년도 학술대회지
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• pp.111-116
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• 2004

We surveyed the coastal structure damages due to the typhoon 'Mae-mi' which heavily struck Korean peninsula in September 12, 2003. The survey revealed the typhoon induced high tides and strong winds were the main causes especially in Busan areas. Though some experimental real time coastal monitoring stations captured the typhoon movements at the critical time, more systematic and complete systems should be implemented to save human lives and properties from huge typhoon disasters.