• 한국농공학회논문집
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• 제63권3호
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• pp.87-95
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• 2021

The Doam Lake Watershed is one of Gangwon-do's non-point source management areas. This area has a lot of snowfall in winter, and it is expected that there will be a lot of soil erosion in early spring due to snow melting. In this study, snow melting was monitored in the Doam Lake watershed from February to 3, 2020. It was conducted to analyze the water quality changes by calculating the concentration of non-point source pollution caused by snowmelt, and to compare the concentration of water quality during snowmelt event with rainfall and non-rainfall event. As a result of water quality analysis, Event Mean Concentration (EMC) at the first monitoring was SS 33.9 mg/L, TP 0.13 mg/L, TN 4.33 mg/L, BOD 1.35 mg/L, TOC 1.84 mg/L. At the second monitoring, EMC were SS 81.3 mg/L, TP 0.15 mg/L, TN 3.12 mg/L, BOD 1.32 mg/L, TOC 3.46 mg/L. In parameter except SS, it showed good water quality. It is necessary to establish management measures through continuous monitoring.

• 대한의용생체공학회:의공학회지
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• 제40권6호
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• pp.230-234
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• 2019

Medical laser equipment using optical energy is used to surgery and treat diseases by destroying and removing tissue. Domestic laser equipment has been used steadily in the skin and cosmetics sectors and has been changed to radiate high-power energy in a wide range to shorten patient treatment time. However, side effects such as burns and damage of normal tissues occurred. To solve this problem, techniques for detecting lesions using an imaging device and selectively radiating the laser have been developed. In this study, we proposed an evaluation method to evaluate the safety and performance of target detection accuracy, laser irradiation accuracy and motion protection device technology derived from product analysis and investigation. Finally, the validity of the evaluation method was evaluated by evaluating the imaging device based laser equipment as the proposed evaluation method.

• 한국멀티미디어학회논문지
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• 제25권3호
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• pp.451-460
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• 2022

Recently, several deep learning studies have been reported to automatically identify the location of diagnostic devices using endoscopic data. In previous studies, there was no design to determine whether the configuration of the dataset resulted in differences in the accuracy in which artificial intelligence models perform image classification. Studies that are based on large amounts of data are likely to have different results depending on the composition of the dataset or its proportion. In this study, we intended to determine the existence and extent of accuracy according to the composition of the dataset by compiling it into three main types using larynx, esophagus, gastroscopy, and laryngeal endoscopy images.

• International journal of advanced smart convergence
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• 제12권2호
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• pp.25-33
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• 2023

The purpose of this study is to evaluate the impact of intermediate features on FER performance. To achieve this objective, intermediate features were extracted from the input images at specific layers (FM1~FM4) of the pre-trained network (Resnet-18). These extracted intermediate features and original images were used as inputs to the vision transformer (ViT), and the FER performance was compared. As a result, when using a single image as input, using intermediate features extracted from FM2 yielded the best performance (training accuracy: 94.35%, testing accuracy: 75.51%). When using the original image as input, the training accuracy was 91.32% and the testing accuracy was 74.68%. However, when combining the original image with intermediate features as input, the best FER performance was achieved by combining the original image with FM2, FM3, and FM4 (training accuracy: 97.88%, testing accuracy: 79.21%). These results imply that incorporating intermediate features alongside the original image can lead to superior performance. The findings can be referenced and utilized when designing the preprocessing stages of a deep learning model in FER. By considering the effectiveness of using intermediate features, practitioners can make informed decisions to enhance the performance of FER systems.

• 대한의용생체공학회:의공학회지
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• 제30권5호
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• pp.401-411
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• 2009

In this paper, we correct pulse wave velocity(PWV) with heart-rate and derive regression equations to estimate intima-media thickness(IMT). Widely used methods for diagnosis of arteriosclerosis are IMT and PWV. Arterial wall stiffness determines the degree of energy absorbed by the elastic aorta and its recoil in diastole but there is not correlation between sclerosis and IMT in an existing study. In this study, we will correct PWV with heart-rate and get regression equation to estimate IMT using heart-rate correction index(HCI). We executed experiments for this study. Made up question of physical condition and measured electrocardiogram(ECG), photoplethysmogram (PPG) of finger-tip and toe-tip and ultrasound image of carotid artery. Calculated PWV and IMT using ECG, PPG and ultrasound image. We found that every p-value between PWV and IMT is not significant(<0.05). But p-value between IMT and HCI which is a corrected PWV using heart-rate is significant(>0.01). We use HCI and various measured parameter for estimating regression equation and apply backward estimation to select parameters for regression analysis. Result of backward estimation, found that only HCI is possible to derive proper regression equation of IMT. Relationship between PWV and IMT is the second order. Result of regression equation of E-H PWV is $R^2$=0.735, adj $R^2$=0.711. This is the best correlation value. We calculate error of its analysis for verification of earlobe PWV regression equation. Its result is RMSEP=0.0328, MAPE(%) = 4.7622. Like this regression analysis, we know that HCI is useful parameter and relationship between PWV, HCI and IMT. In addition, we are able to suggest possibility which is that we can get different parameter of prediction throughout just one measurement.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.505-508
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• 2005

This paper presents the high speed noise reduction processing system using the MDFT on the frequency domain. The proposed system use the linear prediction coefficients of the AR method based on the SLMS(sign least mean square). The signals with a random noise tracking per-formance are examined through computer simu-lations. It is confirmed that the high speed adaptive noise reduction processing system is realized by the SLMS algorithms with rapid convergence on the FD(frequency domain).

• Korean Chemical Engineering Research
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• 제57권3호
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• pp.305-312
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• 2019

산화질소(NO)가 혈관 확장, 혈소판 응집 억제, 면역 반응 조절, 상처 치료, 항암 등의 주요 병리 생리학적 프로세스에 관여한다는 사실이 밝혀지면서 최근 산화질소 전달에 대한 국내외 연구진들의 관심이 높아지고 있다. 그러나 인체에 이상적으로 적용될 수 있는 산화질소 전달체의 개발은 산화질소의 높은 반응성과 짧은 반감기로 인하여 여전히 난제로 남아 있다. 본 논문에서는 다양한 산화질소 전달체 중에서도 최근 바이오메디컬 분야에서 연구가 활발히 이루어지고 있는 나노 구조체를 이용한 전달체의 연구 결과 및 응용 방향에 대해서 소개하고자 한다. 나노 크기의 구조체가 다른 전달체와 비교하여 가지는 장점은 표면 대 부피 비율이 높아 산화질소를 효율적으로 탑재할 수 있고, 표면 개조능력이 뛰어나 산화질소의 방출 양상을 효과적으로 제어할 수 있다는 것이다. 특히 이 글에서는 다양한 나노 구조체 중에서도 나노입자 형태, 마이크로에멀젼 형태, 그리고 다층필름 형태의 나노 구조체에 대해서 다룸으로써 각 구조체의 산화질소 방출 양상을 비교하고 그 특징에 대해서 자세히 알아보고자 한다. 이와 같은 나노 구조체의 개발은 산화질소의 급격한 방출을 방지하고 지효성을 띠게 함으로써 타겟 부위에서의 효과를 높일 수 있을 것으로 기대되며, 더 나아가 차후 다양한 바이오메디컬 분야에서 유망한 치료 기제로서 적용될 수 있을 것으로 보인다.

• 멤브레인
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• 제31권2호
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• pp.153-159
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• 2021

최근 들어 여러 산업 분야에 활발히 사용되고 있는 고분자 분리막은 화학구조의 제어나 제막공정에서의 물리적 특성 제어뿐만 아니라 다양한 소재와 혼합된 복합막 제조를 통해서 고유의 특성을 부여할 수 있는 장점을 가지고 있다. 본 연구에서는 분리막 제조 시에 누에(Bombyx mori)가 생산한 친환경 천연소재로 활용 가능성이 넓은 실크 고분자의 복합막 제조 시 다른 소재와의 혼화성 지표로 사용할 수 있는 용해도 파라미터를 분자동역학을 이용하여 계산하였다. 역시 친환경성 및 생체적합성을 갖고 있는 polyvinylalcohol (PVA)의 용해도 파라미터를 분자동역학을 이용하여 계산 후 서로 비교하였을 때 두 고분자 소재가 비슷한 용해도 파라미터 값을 갖는 것을 확인하였다. 결론적으로, 두 고분자가 서로 잘 혼합될 수 있음을 이론적으로 증명하였고, 실제 실험을 통해서도 이를 확인할 수 있었다.

• 산업경영시스템학회지
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• 제46권spc호
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• pp.54-60
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• 2023

The government focuses on promoting start-ups, fostering ventures, and creating an ecosystem of start-ups through the formation of a strong growth environment for small businesses. This study provides academic and practical implications about ways of improving our business incubator's support service across stages of growth through IPA. To this end, an Importance-Performance Analysis (IPA) was conducted to analyze relationship and differences in importance and satisfaction of business incubator's support service support at business incubation center. These results present to provide the following academic and practical implications. The academic implications are the need for differences in support services for each phase of start-up growth. As factors that could increase the likelihood of successful start-up were identified in each phase of the start-up growth, important information needed for policy and strategy was provided. As a practical suggestion, the managers and expert groups are presented with sections to be opened for each start-up growth stage, minimum effort input, and areas to be maintained continuously. A systematic support plan is established and a foundation is provided for improvement measures in efficient start-up business incubator's support service.

• 대한의용생체공학회:의공학회지
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• 제31권4호
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• pp.269-274
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• 2010

The purpose of this study was to develop the FSR sensor suit that controls walking assist device for paraplegic patients. The FSR sensor suit was to detect user's intent and patterns for walking by measuring pressure on the palm and the sole of user's foot. It consisted of four modules: sensing pressure from palm, changing modes and detecting pressure on the palm/at the wrist, sensing pressure from the soles of user's foot, and host module that transmit FSR data obtained from sensing modules to PC. Sensing modules were connected to sensing pads which detect analog signals obtained from the palm or the sole of foot. These collect signals from the target regions, convert analog signals into digital signals, and transmit the final signals to host module via zigbee modules. Finally, host modules transmit the signals to host PC via zigbee modules. The study findings showed that forces measured at the palm when using a stick reflected user's intent to walk and forces at the sole of the user's foot revealed signals detecting walking state.