• 대한전자공학회논문지SD
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• 제38권6호
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• pp.446-455
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• 2001

본 논문은 GPS 수신기를 이용한 정밀 동기 클록 발생기의 PLD 구현에 관한 것이다. GPS 수신기에서는 동기화 된 IPPS 신호를 발생하는데, 이를 이용하여 시각동기와 클록 보정 등을 행할 수 있다. 본 연구에서는 저가격의 오실레이터로부터 높은 정확도의 클록을 발생시킬 수 있는 DPLL 구조의 정밀 동기 클록 발생기를 ALTERA FLEX EPM6016TC144-3 PLD를 이용하여 구현하였다. 이를 이용하여 GPS 수신기를 함께 이용하여 높은 정밀도를 가지며 동기화 된 1MHz 클록을 발생시키는 하드웨어를 설계하고 구현한다.

• 한국전산구조공학회논문집
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• 제25권3호
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• pp.267-275
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• 2012

본 연구에서는 모드 I의 변동진폭하중 하에서 평판의 두께관통 균열성장을 예측하고 예측결과를 실험을 통해 검증하였다. 균열성장 모델을 위해 과하중으로 인한 균열가속과 지연효과를 고려하는 Huang의 모델식을 이용하였다. 실험적 검증을 위해 Al6016-T6 평판 균열을 제작하여 변동하중을 부여하고 균열길이를 일정 주기로 육안 측정하였다. 측정데이터로부터 모델 변수를 추정하기 위해 베이지안 접근법에 기반한 파티클 필터 방법을 이용하였고, 이를 통해 위험크기까지의 미래 거동 및 잔존수명을 확률적으로 예측하였으며, 이를 실제 실험한 결과와 비교하였다. 그 결과 변동하중에 의한 균열지연이 잘 예측됨을 확인하였고, 측정 데이터가 증가할수록 예측된 중앙값(median)이 실제와 점점 더 일치하였다.

• 소성∙가공
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• 제30권5호
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• pp.242-246
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• 2021

Aluminum alloy sheet is being applied to automobiles continuously for the purpose of reducing car body weight. However, due to low formability, there's a limit to application of products with a deep forming depth such as door inner parts. Therefore, the difficult-to-form parts are mainly segmented formed then joined together, which is also disadvantageous as it increases the cost of manufacturing. This study proposes a hybrid cold-hot stamping method for the 1-piece door inner part to reduce cost. To design the stamping process, numerical simulation method is established by using the temperature-dependent mechanical properties of AA6016. The formability according to the hybrid cold-hot stamping method is evaluated using numerical analysis. The suitability of the proposed stamping method is then verified through the stamping tryout.

• 대한원격탐사학회지
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• 제36권5_3호
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• pp.1095-1107
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• 2020

홍수 발생 시 위성영상을 활용하여 침수된 지역을 추출하는 것은 홍수 발생 기간 내의 위성영상 취득과 영상에 나타난 침수구역의 정확한 분류 등에서 많은 어려움이 존재한다. 딥러닝은 전통적인 영상분류기법들에 비해 보다 정확도가 높은 위성영상분류기법으로 주목받고 있지만, 광학영상에 비해 홍수 발생 시 위성영상의 취득이 용이한 SAR 영상의 분류 잠재력은 아직 명확히 규명되지 않았다. 본 연구는 대표적인 의미론적 영상 분할을 위한 딥러닝 모델인 SegNet과 U-Net을 활용하여 동남아시아의 라오스, 태국, 필리핀의 대표적인 홍수 발생지역인 코랏 유역(Khorat basin), 메콩강 유역(Mekong river basin), 카가얀강 유역(Cagayan river basin)에 대해 Sentinel-1 A/B 위성영상으로부터 침수지역 추출을 실시하였다. 분석결과 침수지역 탐지에서 SegNet의 Global Accuracy, Mean IoU, Mean BF Score는 각각 0.9847, 0.6016, 0.6467로 나타났으며, U-Net의 Global Accuracy, Mean IoU, Mean BF Score는 각각 0.9937, 0.7022, 0.7125로 나타났다. 국지적 분류결과 확인을 위한 육안검증에서 U-Net이 SegNet에 비해 보다 높은 분류 정확도를 보여주었지만, 모델의 훈련에 필요한 시간은 67분 17초와 187분 19초가 각각 소요되어 SegNet이 U-Net에 비해 약 3배 정도 빠른 처리속도를 보여주었다. 본 연구의 결과는 향후 딥러닝 기법을 활용한 SAR 영상기반의 홍수탐지 모델과 실무적으로 활용이 가능한 자동화된 딥러닝 기반의 수계탐지 기법의 제시를 위한 중요한 참고자료로 활용될 수 있을 것으로 판단된다.

• Design & Manufacturing
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• 제15권2호
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• pp.63-69
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• 2021

Springback is an essential task to be solved in order to make high-precision products in sheet metal forming. In this study, materials with four different elastic regions were used. For the forming analysis, the change of springback caused by the frictional force generated in the flange part during hat shape forming was considered by using the AutoForm analysis program. Factors affecting frictional force were blank holder force, friction coefficient, bead R and bead height. As a result of the forming analysis, the springback increases as the material with a larger elastic region increases. In addition, as the frictional force of the flange part increased, the tensile force in the forming direction increased and the springback decreased. In particular, the blank holder force and friction coefficient had a great effect on springback in mild materials (DC04, Al6016), and the bead effectively affects all materials. Through this study, it was considered that the springback decreased as the material with a smaller elastic region and the tensile force in the forming direction increased.

• 한국정밀공학회지
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• 제34권4호
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• pp.273-279
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• 2017

In sheet metal forming numerical analysis, the strain hardening equation has a significant effect on calculation results, especially in the field of spring-back. This study introduces the Kim-Tuan strain hardening model. This model represents sheet material behavior over the entire strain hardening range. The proposed model is compared to other well known strain hardening models using a series of uniaxial tensile tests. These tests are performed to determine the stress-strain relationship for Al6016-T4, DP980, and CP Ti sheets. In addition, the Kim-Tuan model is used to integrate the CP Ti sheet strain hardening equation in ABAQUS analysis to predict spring-back amount in a bending test. These tests highlight the improved accuracy of the proposed equation in the numerical field. Bending tests to evaluate prediction accuracy are also performed and compared with numerical analysis results.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2008년도 춘계학술대회 논문집
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• pp.440-444
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• 2008

The 7-phase BLDC motor is possible for higher efficiency per the unit area, high power and high speed due to the increasing number of phase. Also, it can be looking forward to reduce the current ripple at a point of commutation by the increasing number of phase. Thus, a study for applications of servo system, medical and military instruments is progressing about the BLDC motor is manufactured with multi-phase, currently. This paper is used the fuzzy logic control method for speed control of 7-phase BLDC motor and this is compared with the conventional PI controller using by simulation and experimental results for verification validity of the fuzzy logic controller in this system. The 7-phase BLDC motor and controller are modeled by PSIM6.0 software of PowerSim co. in simulation and we are experimented by the test board that is composed with TMS320VC33-150 DSP controller of Texas Instruments co. and FLEX EPF6016TC144-3 of ALTERA co.

• Asian Pacific Journal of Cancer Prevention
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• 제16권2호
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• pp.707-712
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• 2015

Background: To evaluate use of magnetic resonance imaging (MRI) and a logistic model including risk factors for lymph node metastasis for improved diagnosis. Materials and Methods: The subjects were 176 patients with rectal cancer who underwent preoperative MRI. The longest lymph node diameter was measured and a cut-off value for positive lymph node metastasis was established based on a receiver operating characteristic (ROC) curve. A logistic model was constructed based on MRI findings and risk factors for lymph node metastasis extracted from logistic-regression analysis. The diagnostic capabilities of MRI alone and those of the logistic model were compared using the area under the curve (AUC) of the ROC curve. Results: The cut-off value was a diameter of 5.47 mm. Diagnosis using MRI had an accuracy of 65.9%, sensitivity 73.5%, specificity 61.3%, positive predictive value (PPV) 62.9%, and negative predictive value (NPV) 72.2% [AUC: 0.6739 (95%CI: 0.6016-0.7388)]. Age (<59) (p=0.0163), pT (T3+T4) (p=0.0001), and BMI (<23.5) (p=0.0003) were extracted as independent risk factors for lymph node metastasis. Diagnosis using MRI with the logistic model had an accuracy of 75.0%, sensitivity 72.3%, specificity 77.4%, PPV 74.1%, and NPV 75.8% [AUC: 0.7853 (95%CI: 0.7098-0.8454)], showing a significantly improved diagnostic capacity using the logistic model (p=0.0002). Conclusions: A logistic model including risk factors for lymph node metastasis can improve the accuracy of MRI diagnosis of rectal cancer.

• Asian Pacific Journal of Cancer Prevention
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• 제13권12호
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• pp.6011-6016
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• 2012

Introduction: Epidemiological studies suggest a protective role for ${\beta}$-carotene with several malignancies. Esophageal adenocarcinoma frequently arises from Barrett's esophagus (BE). We postulated that ${\beta}$-carotene therapy maybe protective in BE. Materials and Method: We conducted a prospective study in which 25 mg of ${\beta}$-carotene was administered daily for six-months to six patients. Each patient underwent upper endoscopy before and after therapy and multiple mucosal biopsies were obtained. Additionally, patients completed a gastroesophageal reflux disease (GERD) symptoms questionnaire before and after therapy and severity score was calculated. To study the effect of ${\beta}$-carotene at molecular level, tissue extracts of the esophageal mucosal biopsy were subjected to assessment of heat-shock protein 70 (HSP70). Results: A significant (p<0.05) reduction in mean GERD symptoms severity score from $7.0{\pm}2.4$ to $2.7{\pm}1.7$ following ${\beta}$-carotene therapy was noted. Measurement of Barrett's segment also revealed a significant reduction in mean length after therapy. In fact, two patients had complete disappearance of intestinal metaplasia. Furthermore, marked enhancement of HSP70 expression was demonstrated in biopsy specimens from Barrett's epithelium in four cases that were tested. Conclusions: Long-term ${\beta}$-carotene therapy realizes amelioration of GERD symptoms along with restitution of the histological and molecular changes in esophageal mucosa of patients with BE, associated with concurrent increase in mucosal HSP70 expression.

• 사상체질의학회지
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• 제33권4호
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• pp.1-9
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• 2021

Objectives The purpose of this study was to check whether the classification of the individual's Body Mass Index (BMI) could be predicted by analyzing the voice data constructed at the Korean medicine data center (KDC) using machine learning. Methods In this study, we proposed a convolutional neural network (CNN)-based BMI classification model. The subjects of this study were Korean adults who had completed voice recording and BMI measurement in 2006-2015 among the data established at the Korean Medicine Data Center. Among them, 2,825 data were used for training to build the model, and 566 data were used to assess the performance of the model. As an input feature of CNN, Mel-frequency cepstral coefficient (MFCC) extracted from vowel utterances was used. A model was constructed to predict a total of four groups according to gender and BMI criteria: overweight male, normal male, overweight female, and normal female. Results & Conclusions Performance evaluation was conducted using F1-score and Accuracy. As a result of the prediction for four groups, The average accuracy was 0.6016, and the average F1-score was 0.5922. Although it showed good performance in gender discrimination, it is judged that performance improvement through follow-up studies is necessary for distinguishing BMI within gender. As research on deep learning is active, performance improvement is expected through future research.