• 대한산업공학회지
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• 제18권1호
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• pp.155-167
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• 1992

This paper presents an automatic setup planning system for turning operation of symmetric rotational parts. The proposed setup planning system determines workpiece holding method, number of setup, clamping surface, and workpiece holding device by using design data, part description database and part feature recognition information. The workpiece holding method is based on functional name and length/diameter ratio of the given part, and number of setup is determined by part profile type and its technological constraints. Clamping surface and workpiece holding device are determined by using information about the results of workpiece holding method and number of setup, and capacity of workpiece holding devices. A case study is performed to show the performance of the proposed system.

• 한국정밀공학회지
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• 제21권7호
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• pp.145-152
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• 2004

This paper proposed efficient manufacturing system using the OMM (on-machine measurement) system. The OMM system is software based 3D modeler for inspection on machine and it is interfaced tool machine with RS232C. The software is composed of two inspection modules that one is touch probe operating module and the other is laser displacement sensor operating module. The module for touch probe has need of inspection feature that extracted it from CAD data. Touch probe moves to workpiece by three operating modes as follows: manual, general and automatic mode. The operating module of laser displacement sensor is used inspection for profile and very small hole. An Advantage of this inspection method is to be able to execute on-line inspection during machining or after it. The efficiency of proposed system which can predict and definite the machining errors of each process is verified, so the developed system is applied to inspect the mold-base(cavity, core).

• 반도체디스플레이기술학회지
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• 제8권3호
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• pp.39-44
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• 2009

Local Binary Pattern (LBP) is becoming a popular tool for various machine vision applications such as face recognition, classification and background subtraction. In this paper, we propose a new extension of LBP, called the Diagonal LBP (DLBP), to handle the image-based gender classification problem arise in interactive display systems. Instead of comparing neighbor pixels with the center pixel, DLBP generates codes by comparing a neighbor pixel with the diagonal pixel (the neighbor pixel in the opposite side). It can reduce by half the code length of LBP and consequently, can improve the computation complexity. The Support Vector Machine is utilized as the gender classifier, and the texture profile based on DLBP is adopted as the feature vector. Experimental results revealed that our approach based on the diagonal LPB is very efficient and can be utilized in various real-time pattern classification applications.

• Nuclear Engineering and Technology
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• 제55권9호
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• pp.3320-3325
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• 2023

The scaled water-cooled Reactor Cavity Cooling System (RCCS) experimental facility reproduces a passive safety feature to be implemented in Generation IV nuclear reactors. It keeps the reactor cavity and other internal structures in operational conditions by removing heat leakage from the reactor pressure vessel. The present work uses Flownex one-dimensional thermal-fluid code to model the facility and predict the experimental thermal-hydraulic behavior. Two representative steady-state cases defined by the bulk volumetric flow rate are simulated (Re = 2,409 and Re = 11,524). Results of the cavity outlet temperature, risers' temperature profile, and volumetric flow split in the cooling panel are also compared with the experimental data and RELAP system code simulations. The comparisons are in reasonable agreement with the previous studies, demonstrating the ability of Flownex to simulate the RCCS behavior. It is found that the low Re case of 2,409, temperature and flow split are evenly distributed across the risers. On the contrary, there's an asymmetry trend in both temperature and flow split distributions for the high Re case of 11,524.

• 천문학회보
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• 제45권1호
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• pp.51.2-51.2
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• 2020

Luminous blue variables (LBVs) are massive evolved stars that show unpredictable photometric and spectral variation. It is generally assumed that they undergo one or more of large eruptions. We have obtained high dispersion NIR spectra of several LBVs with Immersion GRating INfrared Spectrometer (IGRINS). One notable feature in their IGRINS spectra is the existence of broad lines (~ a few hundred km/s) with unusual boxy profile. They are fluorescent lines of Fe II by Lyman α photons in the stellar wind. However, modeling of these lines with radiative transfer code CMFGEN predicts much weaker line strength. We propose that incorporating broadening of Lyman α line by scattering processes in dense wind can enhance the Fe II fluorescent lines. We further discuss how these Fe II fluorescent lines can be used to characterize massive LBV wind.

• 한국컴퓨터정보학회논문지
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• 제27권8호
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• pp.49-59
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• 2022

본 논문에서는 2020년 기준 단백질 서열을 이용한 기능과 구조 예측 분야에서 가장 많이 사용되고 있는 딥러닝 모델인 CNN과 LSTM/GRU 모델을 동일한 조건 하에 비교 평가한 연구를 토대로 새로운 효소 기능 예측 모델인 PSCREM을 설계하였다. CNN 합성곱 시 누락되는 세부 패턴을 보존하기 위하여 서열 진화정보를 이용하였으며 중첩 RNN을 통해 기능적으로 중요한 의미를 가지는 아미노산 간의 관계 정보를 추출하고 특징 맵 제작에 참조하였다. 사용된 RNN 계열의 알고리즘은 LSTM과 GRU로 보통 stacked RNN 기법으로 100 units 이상 2~3회 쌓는 것이 일반적이나 본 논문에서는 10, 20 unit으로 구성한 뒤 중첩시켜서 특징 맵 제작에 사용하였다. 모델에 들어가는 데이터는 단백질 서열 데이터로 PSSM profile로 가공한 뒤 사용되었다. 실험 결과 효소 번호 첫 번째 자리를 예측하는 문제에 대해 86.4%의 정확도를 나타냄을 입증하였고, 효소 번호 3번째 자리까지 예측 정확도 84.4%의 성능을 내는 것을 확인하였다. PSCREM은 Overlapped RNN을 통해 단백질 기능에 관련된 고유 패턴을 더 잘 파악하며 Overlapped RNN은 단백질 기능 및 구조 예측 추출 분야에 새로운 방법론으로서 제안된다.

• 한국철도학회논문집
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• 제15권4호
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• pp.357-363
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• 2012

본 논문에서는 단상PWM컨버터 차량의 새로운 운전방식에 대해 기술하였다. 최근의 전기차량은 PWM 컨버터를 채택함으로써 그 이전의 차량들에 비하여 역률을 1.0에 가깝도록 유지할 수 있게 되었다. 그러나 이들 차량은 컨버터 제어방식의 비교적 간단한 수정을 통하여 진상 역률 영역에서의 운전이 가능한데, 이러한 특징은 차량 자체만으로는 큰 의미가 없을지 모르나 급전계통과 연계하여 검토하는 경우 선로의 무효전력 손실을 보상함으로써 급전선로의 유효전력 손실을 감소시키고 전압 분포를 개선하는 효과를 나타내게 된다. 이동형 보상장치가 될 수 있다는 특징으로 무효전력 보상을 위해 일반적으로 검토되는 SVC와 비교해도 장점을 가지게 된다. PWM컨버터차량의 진상운전 조건 및 관련식의 유도와 함께 이러한 방식을 적용하기 위한 새로운 역률 제어 알고리즘을 제시하였다. SIMULINK 모델을 사용한 모의를 통하여 제시된 방법의 실 적용 가능성을 검토하였으며 만족할 만한 결과를 얻을 수 있었다.

• 대한두개안면성형외과학회지
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• 제17권1호
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• pp.20-24
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• 2016

Background: Midface concavity is a relatively common facial feature in East Asian populations. Paranasal augmentation is becoming an increasingly popular procedure for patients with mild concavity and normal occlusion. In this study, we evaluate clinical outcomes following a series of paranasal augmentation. Methods: A retrospective review was performed for patients with Class I occlusion who had undergone bilateral paranasal augmentation using custom-made silicone implants, between October 2005 and September 2013. Patient charts were reviewed for demographic information, concomitant operations, and postoperative complications. Preoperative and postoperative (1-month) photographs were used to evaluate operative outcome. Results: The review identified a total of 93 patients meeting study criteria. Overall, aesthetic outcomes were satisfactory. Five-millimeter thick silicone implant was used in 81 cases, and the mean augmentation was 4.26 mm for this thickness. Among the 93 patients, 2 patients required immediate implant removal due to discomfort. An additional 3 patients experienced implant migration without any extrusion. Nine patients complained of transient paresthesia, which had resolved by 2 weeks. There were no cases of hematoma or infection. All patients reported improvement in their lateral profile and were pleased at follow-up. Complications that arose postoperatively included 9 cases of numbness in the upper lip and 3 cases of implant migration. All cases yielded satisfactory results without persisting complications. Sensations were fully restored postoperatively after 1 to 2 weeks. Conclusion: Paranasal augmentation with custom-made silicone implants is a simple, safe, and inexpensive method that can readily improve the lateral profile of a patient with normal occlusion. When combined with other aesthetic procedures, paranasal augmentation can synergistically improve outcome and lead to greater patient satisfaction.

• 대한교통학회지
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• 제18권4호
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• pp.107-115
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• 2000

본 논문에서는 자동차 충돌사고 재구성에 직접 적용이 가능하도록, 주어지는 두 차량의 충돌후 속도, 차량에 관한 간단한 물성치와 기하학적 상대 위치들에 근거하여 충돌 직전 속도 성분들을 계산하는 소위 충돌 거동에 대한 역해석 방법을 제시한다. 또한, 제시하는 역해석 방법이 실용적 의미를 가지게 하기 위해서, 충돌 후 조건들로부터 반발계수와 역적비에 대한 적절한 추정 방법과 더불어 충돌 변형으로부터 유추할 수 있는 충돌 과정동안의 에너지 손실에 근거한 역해석 방안도 포함한다. 실차충돌 실험자료의 분석 결과에 따르면, 역적-운동량이론에만 근거한 역해석 결과뿐만 아니라 에너지 손실에 근거한 역해석 결과도 실험 결과와 좋은 일치를 보여주고 있다 강체역학의 범주내에서 역해석을 수행할 수 없는 공통속도 조건과 같은 경우나 반발계수에 관한 추정결과가 적절하지 않게 되는 등 단지 역적-운동량이론만을 이용한 해석 결과가 미흡한 경우에는 에너지 손실에 근거한 역해석 방법을 보완적으로 활용할 수 있을 것이다. 본 논문에서 제시한 충돌 과정 역해석 결과는 자동차충돌 해석 결과 및 충돌 전·후 거동에 대한 역미끄럼 해석 결과와 유기적으로 결합하여 자동차 충돌 사고 전 과정에 대한 직접적인 역해석을 수행할 수 있는 사고 재구성 패키지의 개발을 기대할 수 있다.

• International Journal of Oral Biology
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• 제43권2호
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• pp.101-111
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• 2018

Understanding the classification of malocclusion is a crucial issue in Orthodontics. It can also help us to diagnose, treat, and understand malocclusion to establish a standard for definite class of patients. Principal component analysis (PCA) and k-means algorithms have been emerging as data analytic methods for cephalometric measurements, due to their intuitive concepts and application potentials. This study analyzed the macro- and meso-scale classification structure and feature basis vectors of 1020 (415 male, 605 female; mean age, 25 years) orthodontic patients using statistical preprocessing, PCA, random matrix theory (RMT) and k-means algorithms. RMT results show that 7 principal components (PCs) are significant standard in the extraction of features. Using k-means algorithms, 3 and 6 clusters were identified and the axes of PC1~3 were determined to be significant for patient classification. Macro-scale classification denotes skeletal Class I, II, III and PC1 means anteroposterior discrepancy of the maxilla and mandible and mandibular position. PC2 and PC3 means vertical pattern and maxillary position respectively; they played significant roles in the meso-scale classification. In conclusion, the typical patient profile (TPP) of each class showed that the data-based classification corresponds with the clinical classification of orthodontic patients. This data-based study can provide insight into the development of new diagnostic classifications.