• Geomechanics and Engineering
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• 제18권1호
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• pp.11-20
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• 2019

The purpose of this study was to propose a new approach for quantifying in situ rock mass damage, which would include a degree-of-damage and the degraded strength of a rock mass, along with its prediction based on real-time Acoustic Emission (AE) observations. The basic approach for quantifying in-situ rock mass damage is to derive the normalized value of measured AE energy with the maximum AE energy, called the degree-of-damage in this study. With regard to estimation of the AE energy, an AE crack source location algorithm of the Wigner-Ville Distribution combined with Biot's wave dispersion model, was applied for more reliable AE crack source localization in a rock mass. In situ AE wave attenuation was also taken into account for AE energy correction in accordance with the propagation distance of an AE wave. To infer the maximum AE energy, fractal theory was used for scale-independent AE energy estimation. In addition, the Weibull model was also applied to determine statistically the AE crack size under a jointed rock mass. Subsequently, the proposed methodology was calibrated using an in situ test carried out in the Underground Research Tunnel at the Korea Atomic Energy Research Institute. This was done under a condition of controlled incremental cyclic loading, which had been performed as part of a preceding study. It was found that the inferred degree-of-damage agreed quite well with the results from the in situ test. The methodology proposed in this study can be regarded as a reasonable approach for quantifying rock mass damage.

• 대한응급의학회지
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• 제29권6호
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• pp.641-648
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• 2018

Objective: This study examined the incidence and amount of air inflow during central venous catheter (CVC) insertion. Methods: This study was an experimental study aimed at designing an apparatus to implement blood vessel and blood flow in the human body. A 1.5-m long core tube with a Teflon tube, suction rubber tube, and polyvinyl chloride tube were made. This core tube was assumed to be the blood vessel of the human body. Blood was replaced with a saline solution. The saline solution was placed higher than the core tube and flowed into the inside of the tube by gravity. The CVC was injected 15-cm deep into the core tube. The air was collected through a 3-way valve into the upper tube. The experiments were carried out by differentiating the pressure in the tube, CVC insertion step, and diameter of the end of the catheter. The experiment was repeated 10 times under the same conditions. Results: The amount of air decreased with increasing pressure applied to the tube. Air was not generated when the syringe needle was injected, and the amount of air increased with increasing size of the distal end catheter. Conclusion: To minimize the possibility of air embolism, it is necessary to close the distal end catheter at the earliest point as soon as possible.

• 디지털융복합연구
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• 제19권5호
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• pp.307-313
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• 2021

본 논문에서는 기존 객체 검출 방법 대비 매개변수를 감소시킨 경량화 네트워크를 제안하였다. 현재 사용되는 검출 모델의 경우 정확도 향상을 위해 네트워크 복잡도를 크게 늘렸다. 따라서, 제안하는 네트워크는 EfficientNet을 특징 추출 네트워크로 사용하였으며, 후속 레이어는 저수준 세부 특징과 고수준의 의미론적 특징을 활용하기 위해 피라미드 구조로 형성하였다. 피라미드 구조 사이에 attention process를 적용하여 예측에 불필요한 노이즈를 억제하였다. 네트워크의 모든 연산 과정은 depth-wise 및 point-wise 컨볼루션으로 대체하여 연산량을 최소화하였다. 제안하는 네트워크는 PASCAL VOC 데이터셋으로 학습 및 평가하였다. 실험을 통해 융합된 특징은 정제 과정을 거쳐 다양한 객체에 대해 견고한 특성을 보였다. CNN 기반 검출 모델과 비교하였을 때 적은 연산량으로 검출 정확도가 향상되었다. 향후 연구로 객체의 크기에 맞게 앵커의 비율을 조절할 필요성이 사료된다.

• Journal of Korean Neurosurgical Society
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• 제64권2호
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• pp.229-237
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• 2021

Objective : Expansion in the spinal canal area (SCA) after laminoplasty is one of the critical factors to relieve the preoperative symptoms. No previous study has compared the increases in SCA achieved by open-door laminoplasty (ODL) and double door laminoplasty (DDL) according to the preoperative lamina angle (LA). This study was designed to clarify the relationship between the laminoplasty opening angle (OA)/laminoplasty opening size (OS) and increases in the SCA following ODL and DDL according to the preoperative LA using a simulation model. Methods : The simulation model was constructed and validated by comparing the clinical data of 64 patients who had undergone C3-C6 laminoplasty (43 patients with ODL and 21 patients with DDL). SCA expansion was predicted with a verified simulation model at various preoperative LAs (from 28° to 32°) with different OAs (40° to 44°) and OSs (10 mm to 14 mm) recruited from patient data. Results : The constructed simulation model was validated by comparing clinical data and revealed a very high degree of correlation (r=0.935, p<0.001). In this validated model, at the same OA, the increase in SCA was higher following ODL than following DDL in the usual LA (p<0.05). At the same OS, the increase in SCA was slightly larger following DDL than following ODL, but the difference was not significant (p>0.05). The difference was significant when the preoperative LA was narrower or much wider. Conclusion : Based on clinical data, a simulation model was constructed and verified that could predict increases in the SCA following ODL and DDL. When applying this model, prediction in SCA increase using the OS parameter was more practical and compatible with clinical data. Both laminoplasties achieved enough SCA, and there was no significant difference between them in the usual range.

• 농업생명과학연구
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• 제53권5호
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• pp.37-49
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• 2019

Environmental conditions are important in increasing the fruit sugar content and productivity of the new cultivar Autumn Sense of Actinidia arguta. We analyzed various soil properties at experimental sites in South Korea. A Pearson's correlation analysis was performed between the soil properties and sugar content or productivity of Autumn Sense. Further, a decision tree was used to determine the optimal soil conditions. The difference in the fruit size, sugar content, and productivity of Autumn Sense across sites was significant, confirming the effects of soil properties. The decision tree analysis showed that a soil C/N ratio of over 11.49 predicted a sugar content of more than 7°Bx at harvest time, and soil electrical capacity below 131.83 µS/cm predicted productivity more than 50 kg/vine at harvest time. Our results present the soil conditions required to increase the sugar content or productivity of Autumn Sense, a new A. arguta cultivar in South Korea.

• 스마트미디어저널
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• 제10권1호
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• pp.32-38
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• 2021

사진 이미지에서의 딥러닝 학습을 통한 이미지 분류는 지난 수년간 매우 활발한 연구 분야로 자리하고 있다. 본 논문에서는 국내산 석재 이미지로부터 딥러닝 학습을 통해 자동으로 석재를 판별하는 방법을 제안한다. 제안된 방법은 300×300픽셀의 황등석, 고흥석, 포천석의 사진 이미지들을 파이썬의 해시 라이브러리를 이용하여 석재별 중복된 이미지를 검사하고, 검사 결과로 해시값이 같은 중복된 이미지를 제거하여 석재별 딥러닝 학습이미지를 만드는 데이터 전처리 과정을 수행한다. 또한 미리 학습된 모델인 VGGNet을 활용하기 위해 학습된 이미지 사이즈인 224×224픽셀로 석재별 이미지들의 사이즈를 재조정하고, 학습데이터와 학습을 위한 검증데이터의 비율을 80% 대 20%로 나누어 딥러닝 학습을 수행한다. 딥러닝 학습을 수행한 후 손실 함수 그래프와 정확도 그래프를 출력하고 세 종류의 석재 이미지에 대해 딥러닝 학습 모델의 예측 결과를 출력하였다.

• 한국전자통신학회논문지
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• 제16권3호
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• pp.471-476
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• 2021

분말 야금 기술에 의한 복합 연자성 재료는 전기기기에 일반적으로 사용되는 종래의 전기강판보다 많은 장점을 가지고 있으며, 그 관련 기술은 최근에 상당한 발전을 거듭하고 있다. 복합 연자성 재료는 일반적으로 분말의 형태로 인해 자기적 등방성 가지므로 3차원 자속 및 복잡한 구조의 전기기기 구성에 적합하다. 하지만 SMC와 같이 등방성 자기 특성을 가지는 재료는 복잡한 벡터 히스테리시스를 가지므로 정확한 손실 특성을 예측하는 것이 매우 어렵다. 따라서 본 논문에서는 전기강판 및 SMC의 링 타입 시편을 제작하고 시편 크기에 따라 자기적 특성을 측정한 후, 측정된 자기적 정보를 이용하여 800Hz 이상에서 구동하는 고속 영구자석 전동기의 전자계 해석을 수행하였다. 또한, 해당 모델의 시작품을 제작하고 효율 측정 및 비교를 통해 본 논문의 신뢰성을 입증하였다.

• 대한의용생체공학회:의공학회지
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• 제43권1호
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• pp.27-34
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• 2022

Drunk driving defines a driver as unable to drive a vehicle safely due to drinking. To crack down on drunk driving, alcohol concentration evaluates through breathing and crack down on drinking using S-shaped courses. A method for assessing drunk driving without using BAC or BrAC is measurement via biosignal. Depending on the individual specificity of drinking, alcohol evaluation studies through various biosignals need to be conducted. In this study, we measure biosignals that are related to alcohol concentration, predict BrAC through SVM, and verify the effectiveness of the S-shaped course. Participants were 8 men who have a driving license. Subjects conducted a d2 test and a scenario evaluation of driving an S-shaped course when they attained BrAC's certain criteria. We utilized SVR to predict BrAC via biosignals. Statistical analysis used a one-way Anova test. Depending on the amount of drinking, there was a tendency to increase pupil size, HR, normLF, skin conductivity, body temperature, SE, and speed, while normHF tended to decrease. There was no apparent change in the respiratory rate and TN-E. The result of the D2 test tended to increase from 0.03% and decrease from 0.08%. Measured biosignals have enabled BrAC predictions using SVR models to obtain high Figs in primary and secondary cross-validations. In this study, we were able to predict BrAC through changes in biosignals and SVMs depending on alcohol concentration and verified the effectiveness of the S-shaped course drinking control method.

• Journal of Korean Neurosurgical Society
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• 제65권4호
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• pp.582-590
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• 2022

Objective : Hydrocephalus after intracerebral hemorrhage (ICH) is known to be related to poor prognosis and mortality. We analyzed predictors of permanent hydrocephalus in the patients with surgically treated supratentorial ICH. Methods : From 2004 to 2019, a total of 414 patients with surgically treated primary supratentorial ICH were included. We retrospectively analyzed age, sex, preexisting hypertension and diabetes, location and volume of ICH, presence and severity of intraventricular hemorrhage (IVH), and type of surgery. Results : Forty patients (9.7%) required shunt surgery. Concomitant IVH was higher in the 'shunt required' group (92.5%) than in the 'shunt not required' group (67.9%) (p=0.001). IVH severity was worse in the 'shunt required' group (13.5 vs. 7.5, p=0.008). Craniectomy (47.5%) was significantly high in the 'shunt required' group. According to multivariable analysis, the presence of an IVH was 8.1 times more frequent and craniectomy was 8.6 times more frequent in the 'shunt required' group. In the comparison between craniotomy and craniectomy group, the presence of an IVH was related with a 3.9 times higher (p=0.033) possibility and craniectomies rather than craniotomies with a 7-times higher possibility of shunt surgery (p<0.001). Within the craniectomy group, an increase in the craniectomy area by 1 cm² was correlated with a 3.2% increase in the possibility of shunt surgery (odds ratio, 1.032; 95% confidence interval, 1.005-1.061; p=0.022). Conclusion : Presence of IVH, the severity of IVH and decompressive craniectomy were related to the development of shunt dependent hydrocephalus in the patients with ICH. The increasing size of craniectomy was related with increasing rate of shunt requirement.

• 응용통계연구
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• 제35권4호
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• pp.469-484
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• 2022

텍스트 데이터는 일반적으로 많은 단어로 이루어져 있으므로 변수의 수가 매우 많은 고차원 데이터에 해당된다. 이러한 고차원 데이터에서는 계산 효율성과 통계분석의 정확성을 높이기 위해 많은 변수 중 중요한 변수를 선택하기 위한 절차를 거치는 경우가 많다. 텍스트 데이터에서도 많은 단어 중 중요한 단어를 선택하기 위해 여러가지 방법들이 사용되고 있다. 이 연구에서는 단어 선택을 위한 대표적인 필터링 방법인 카이제곱통계량과 정보이득의 공통점과 차이점을 살펴보고 실제 텍스트 데이터에서 이 단어선택 방법들의 성질을 확인해보았다. 카이제곱통계량과 정보이득은 비음성, 볼록성 등의 성질을 공유하지만 불균형 텍스트 데이터에서 카이제곱통계량이 양변수 위주로 단어를 선택하는 반면, 정보이득은 음변수도 상대적으로 많이 선택하는 경향이 있음을 확인하였다.