• 디지털콘텐츠학회 논문지
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• 제16권5호
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• pp.671-680
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• 2015

Joint Bayesian 방법론[1]은 2012년 발표된 이후 최근까지 최고 성능을 보이는 거의 모든 얼굴인식 알고리즘에서 이진 분류를 위해 사용되고 있지만, 지금까지 이를 개선한 알고리즘은 2D-JB[2] 외에 거의 발표되지 않았다. 우리는 본 논문에서 주어진 얼굴 영상과 이를 좌우 반전시킨 미러 영상을 함께 고려함으로써 Joint Bayesian 방법론의 성능을 향상시킬 수 있는 방법론을 제안한다. 일반적인 패턴인식에서 결정함수 값이 결정경계 또는 임계치에 가까운 경우 오류가 발생할 확률이 높다. 제안한 방법론은 미러 영상의 특징을 이용하여 결정함수 값을 결정경계로부터 멀어지게 함으로써 오류를 줄이는 방법이다. 우리는 LFW DB를 이용한 실험을 통해 제안한 JB 개선 방법론이 기존 JB 방법론보다 1%이상 높은 인식률을 보임을 입증하였다. LFW DB를 이용한 기존 연구들에서 성능을 1% 높이기 위해 많은 학습데이터가 필요했음을 감안할 때, 제안한 방법론은 큰 의미가 있다고 볼 수 있다.

• 대기
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• 제26권1호
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• pp.73-84
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• 2016

A method to make ice spike using home refrigerator with ice tray was found. Many experiments have carried out with this method and many natural phenomena occurring on the formation of ice spike are found. A new concept of the Latter Freezing Water (LFW) was imported to explain the ice spike formation. At LFW position on water surface, the Sprout of Super cooled Water (SSW) grows by the Volume Expansion Effect (VEE) caused by the phase change of water in water. And air bubbles that are expelled from ice during freezing process, gather, rise, and detonate at the upper most part of SSW that make SSW freeze and grow upward with the water pipe in it. Together with VEE the capillarity in the water pipe makes the column grow more, that makes the ice spike. Many other findings were succeeded; 1) Ice spike process is completed before the whole water freezes. 2) If water is corrupted or shocked, even though it is very slight, ice spike is not generated. 3) Rain water contains the most LFW among all kind of waters used in experiments. 4) LFW is changed into normal water after passing the ice spike. 5) A new concept of the ice bullet is introduced. 6) The reason of frequent occurrences of the ice spike at Mt. Mai is investigated also.

• Journal of Information Processing Systems
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• 제12권3호
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• pp.381-391
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• 2016

The Joint Bayesian (JB) method has been used in most state-of-the-art methods for face verification. However, since the publication of the original JB method in 2012, no improved verification method has been proposed. A lot of studies on face verification have been focused on extracting good features to improve the performance in the challenging Labeled Faces in the Wild (LFW) database. In this paper, we propose an improved version of the JB method, called the two-dimensional Joint Bayesian (2D-JB) method. It is very simple but effective in both the training and test phases. We separated two symmetric terms from the three terms of the JB log likelihood ratio function. Using the two terms as a two-dimensional vector, we learned a decision line to classify same and not-same cases. Our experimental results show that the proposed 2D-JB method significantly outperforms the original JB method by more than 1% in the LFW database.

• 한국연초학회지
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• 제11권1호
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• pp.49-64
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• 1989

The study was carried out to investigate the effect of control leaf number on growth and chemical characteristics, and on yield and quality In (rue-cured tobacco The rest upper leaves of 14, 16, and 18 leaves per plant were removed at button stage, and the plants were harvested :0, 12, and 16 leaves with discard 4 leaves of the bottom, respectively. 1. There were showed a tendency to increase in length (LL), width (LW), area (LA), fresh (LFW) and dry weight (LDW) per leaf as leaf numbers were decreased, while those per plant and the ratios of increase of those per plant were decreased. 2. In compensation effect (CE), there were increase in LL, LFW, LDW, LL/LW and LDW/LFW with each decreased in leaf numbers while LW was decreased, LA unchanged. 3. There were significant Increases in LL, LW, and LA at 5th~8th stalk positions form bottom (SP), while those .at 13th~16th SF were decreased. Also, LDW at 5th~l0th, and LDW/LFW and weight Per unit leaf area at 11th 16th were Increased as leaf numbers decreased. 4. Mean per plant and CE of nicotine were increased, but those of sugar were decreased with each decrease In leaf numbers. In addition, nicotine contents at 5th~14th SP except for 9th~10th were increased, otherwise sugar contents at 7th~14th were decreased. 5. There were showed a tendency to increase in grade per Plant and in tirade at 5th~8th SP, but decrease in CE of grade as leaf numbers were decreased. There wee significant decrease in grade at 11th~14th SP. Also, ratio of 5 grade was decreased, while ratios of 3 and 4 grades were increased. 6. When the 2 leaves at 3rd~4th SP were harvested, price was decrease 2.6% and yield was increased 5.8 %. 7. When the 6 leaves from convention were removed at but ton stage, effects of apparent, compensational, and net per leaf on yield were -3.9%, +2.6%, and -6.5%, respectively, and those on price were +1.1%, -1.6% and +2.7%, respectively.

• 한국구조물진단유지관리공학회 논문집
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• 제22권1호
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• pp.81-89
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• 2018

오스테나이트계 스테인리스강은 우수한 내식성, 내구성 및 내화성을 지닌다. 특히, 오스테나이트계 스테인리스강중의 대표인 STS304에 비해 저탄소를 함유하고 있는 STS304L은 현장용접 후 별도의 열처리 없이 높은 내입계부식성능을 지니고 있어 용접후 내입계 부식이 우려되는 부재 접합에 적용할 수 있다. 본 연구에서는 티그(TIG)용접으로 필릿 용접된 STS304L 용접접합부의 용접재(용착금속부) 내력과 파단 메카니즘을 조사하고자 한다. 주요변수인 하중방향에 대한 용접선의 배치에 따라 TFW(하중직각방향 용접), LFW(하중방향용접), FW(하중방향용접과 하중직각방향 용접조합)시리즈의 실험체를 제작하여 인장실험을 실시하였고, 각각 인장파단,전단파단, 블록전단파단(인장파단과 전단파단의 조합)이 발생하였다. 동일 용접길이에 대해 TFW 시리즈의 접합부가 가장 높은 내력을 나타났으며, 현행기준식(KBC2016/AISC2010)과 기존 연구자의 식에 의한 예측내력과 비교한 결과, TFW와 LFW접합부는 과소평가되었고 FW실험체는 과대평가되었다. 실제 파단 위험단면과 블록전단파단 메카니즘을 고려한 내력식을 제안하였다.

• 광학세계
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• 통권105호
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• pp.21-23
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• 2006

미국 달러의 강세로 인해 유럽 및 아시아는 다시금 경제적인 안정과 성장을 달성하고 있는 가운데 중국은 저가 마킹 장비의 주도로 두자리수의 성장을 지속하고 일본 또한 2005년에 는 2% 성장을 이루는 등 아시아 시장의 성장이 눈에 띈다. 반면 유럽은 공작기계분야에서 2005년 3% 성장을 기록하는데 그친 것으로 나타났다. 본 고는 세계 레이저 시장중 다이오드 분야를 제외한 시장에 대해 언급하고 있다. <출처:LaserFocusWorld- LASER MARKETPLACE 2006: Market's messagrs are mixed(http://lfw.pennnet.com)>

• Journal of Information Processing Systems
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• 제14권6호
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• pp.1464-1479
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• 2018

In face recognition, sometimes the number of available training samples for single category is insufficient. Therefore, the performances of models trained by convolutional neural network are not ideal. The small sample face recognition algorithm based on novel Siamese network is proposed in this paper, which doesn't need rich samples for training. The algorithm designs and realizes a new Siamese network model, SiameseFacel, which uses pairs of face images as inputs and maps them to target space so that the $L_2$ norm distance in target space can represent the semantic distance in input space. The mapping is represented by the neural network in supervised learning. Moreover, a more lightweight Siamese network model, SiameseFace2, is designed to reduce the network parameters without losing accuracy. We also present a new method to generate training data and expand the number of training samples for single category in AR and labeled faces in the wild (LFW) datasets, which improves the recognition accuracy of the models. Four loss functions are adopted to carry out experiments on AR and LFW datasets. The results show that the contrastive loss function combined with new Siamese network model in this paper can effectively improve the accuracy of face recognition.

• 한국정보통신학회논문지
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• 제24권1호
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• pp.50-56
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• 2020

현재 심층 신경망 이론 및 응용 연구의 빠른 개발로 얼굴 인식의 효과가 향상되고 있다. 그러나 심층 신경망 계산의 복잡성과 탐지 환경의 복잡성으로 인해 얼굴을 빠르고 정확하게 감지하는 방법이 주요 문제가 된다. 이 논문은 FDDB, LFW 및 FaceScrub 공개 데이터 세트를 훈련 표본을 사용하는 단순한 MTCNN 모델을 기반으로 둔다. MTCNN 모델을 분류하고 소개하면서 학습 훈련 속도를 높이고 성능을 향상하는 방법을 모색합니다. 본 논문에서는 다이내믹 이미지 피라미드 기술을 이용하여 기존 이미지 Pyramid 기술을 대체하여 샘플을 분할하고 MTCNN 모델의 OHEM을 훈련에서 제거하여 훈련 속도를 향상시켰다.

• Tribology and Lubricants
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• 제14권4호
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• pp.72-78
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• 1998

In this work, the effects of binder materials on the tribological behavior were experimentally evaluated for air curable MoS$_2$bonded film lubricants. The binders tested were basically alkyd and acryl based resins, and also were modified by nitro-cellulose in various weight percentages. Effects on the binder ratio to solid lubricants and the molecular weight of binders were also investigated in all aspects of the tribological behavior. For the tests, LFW-1 and Falex tester were used to measure mainly the endurance life and load carrying capacity of bonded lubricants. Results showed that lubricants of methacrylic resin has the better performance than those of other resins, and also the properties of lubricants both of alkyd and acrylic resins could be improved by modification with nitro-cellulose. It was also shown that the optimum ratio of nitro-cellulose related closely to the binder material and the testing machine.

• 한국윤활학회:학술대회논문집
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• 한국윤활학회 1997년도 제25회 춘계학술대회
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• pp.232-241
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• 1997

The tribological behavior for MoS$_2$ bonded films is evaluated according to the international standard testing methods, such as ASTM D 2625(Falex tester) and ASTM D 2714(LFW-1 tester). It has been well known that the tribological behavior for MoS$_2$ bonded films is affected by several factors. However, in this work, the wear life for MoS$_2$ bonded films is mainly experimentally measured with different contact geometry, and evaluated in terms of the frictional heating according to the contact geometry of tribotester. The test results show that the wear life of MoS$_2$ bonded films is significantly affected not only by the frictional heating, but also by the contact pressure, test running-in conditions, and the contact conformity.