• Journal of Microbiology
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• 제38권4호
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• pp.250-254
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• 2000

This study confirmed that white rot fungus Irpex lacteus was able to metabolize 2,4,6-trinitrotoluene (TNT) with two different initial transformations. In one metabolic pathway of TNT a nitro group was removed from the aromatic ring of TNT. Hydride-Meisenheimer complexes of TNT (H$\^$-/-TNT), colored dark redo were confirmed as the intermediate in this transformation by comparison with the synthetic compounds. 2,4-Dinitrotoluene as a following metabolic product was detected, and nitrite produced by denitration of H$\^$-/-TNT supported this transformation. In the other TNT pathway, nitro groups in TNT were successively reduced to amino groups via hydroxylamines. Hydroxylamino-dinitrotoluenes and amino-dinitrotoluenes were identified as the intermediates. The activity of a membrane-associated aromatic nitroreductase was detected in the cell-free extract of I. lacteus. This enzyme catalyzed the nitro group reduction of TNT with NADPH as a cofactor, Enzyme activity was not observed in the presence of molecular oxygen.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.525-528
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• 2019

Atmospheric particle removal is a challenging task and attacks wide interests in computer vision filed. In this paper, we proposed a single image snow removal framework based on deep residual networks. According to the fact that there are various snow sizes in a snow image, the inception module which consists of different filter kernels was adopted to extract multiple resolution features of the input snow image. Except the traditional mean square error loss, the perceptual loss and total variation loss were employed to generate more clean images. Experimental results on synthetic and realistic snow images indicated that the proposed method achieves superior performance in respect of visual perception and objective evaluation.

• 한국멀티미디어학회논문지
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• 제25권11호
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• pp.1582-1590
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• 2022

Due to the situation of the widespread of the coronavirus, which causes the problem of lack of face image data occluded by masks at recent time, in order to solve the related problems, this paper proposes a method to generate face images with masks using a combination of generative adversarial networks and spatial transformation networks based on CNN model. The system we proposed in this paper is based on the GAN, combined with multi-scale convolution kernels to extract features at different details of the human face images, and used Wasserstein divergence as the measure of the distance between real samples and synthetic samples in order to optimize Generator performance. Experiments show that the proposed method can effectively put masks on face images with high efficiency and fast reaction time and the synthesized human face images are pretty natural and real.

• 산업식품공학
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• 제13권4호
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• pp.282-288
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• 2009

A dark brownish pigment from fruit body of Auricularia auricula was isolated and characterized in this report. The pigment was obtained with a yield of 0.61%(w/w) by alkaline extraction and subsequent purification steps. It showed the positive $FeCl_3$ test which was the indication of phenolic compounds. A synthetic melanin showed a similar spectrometric characteristics to the pigment extract regarding a characteristic UV absorption between 200-250 nm and infrared absorptions profiles in the finger print region including absorption peaks at 1701 and 1624 $cm^{-1}$. Its element analysis indicated that its atomic copmposition is close to that of DOPA melanin (eumelanin). With the result of its antioxidant activity in the TNBT (5-thio-2-nitrobenzoic acid) assay, we concluded that the dark brownish pigment from A. auricula is a melanin-like compound having a powerful antioxidative activity.

• 한국식품영양학회지
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• 제32권1호
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• pp.41-49
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• 2019

Carotene, xanthophyll, carotenoid anthocyan, phycopyrine, chlorophyll, and monascus pigments are used as natural coloring agents since they are more stable to human body than synthetic coloring agents. Among them, monascus pigments are a natural red pigment produced by the Monascus purpureus. For the development of edible paint using natural pigment, Monascus purpureus strain was cultured at a temperature of $35^{\circ}C$ for 15 days on a PDYA plate and liquid medium to produce a red pigment. In addition, a large amount of the red pigment was extracted from Hongkuk Koji in parallel with water extraction and ultrasonic wave extraction. At this time, the yield of ultrasonic extract was 2~4 times higher. Thus, Monascus purpureus strains, etc. were prepared by freeze-drying powder. In conclusion, natural paints made with red pigments have enabled the development of been edible paints that can be used as eco-friendly materials with good viscosity, enhanced spread ability and coloration.

• 로봇학회논문지
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• 제19권2호
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• pp.196-202
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• 2024

The ability to understand given environments and plan a sequence of actions leading to goal state is crucial for personal service robots. With recent advancements in deep learning, numerous studies have proposed methods for state representation in planning. However, previous works lack explicit information about relationships between objects when the state observation is converted to a single visual embedding containing all state information. In this paper, we introduce graph-based state representation that incorporates both object and relationship features. To leverage these advantages in addressing the task planning problem, we propose a Graph Neural Network (GNN)-based subgoal prediction model. This model can extract rich information about object and their interconnected relationships from given state graph. Moreover, a search-based algorithm is integrated with pre-trained subgoal prediction model and state transition module to explore diverse states and find proper sequence of subgoals. The proposed method is trained with synthetic task dataset collected in simulation environment, demonstrating a higher success rate with fewer additional searches compared to baseline methods.

• 한국광학회지
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• 제19권6호
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• pp.389-393
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• 2008

본 논문에서는 컴퓨터 집적영상(integral imaging(II))에서 분산 추정을 이용하여 심하게 은폐된 물체의 복원 시 은폐물(occluding object)의 블러링 효과를 제거하는 방법을 제안하였다. 하나의 요소영상(elemental image) 군으로부터 은폐 효과를 제거하여 복원된 영상의 선명도를 향상시키는 정보를 추출하는 방법을 분석하였다. 이를 실행하기 위해 픽업되는 요소영상들이 높은 해상도, 낮은 초점오차(focus error), 큰 깊이감을 가질 필요가 있다. 요소 영상을 픽업할 때 디지털 컴퓨터를 이용한 synthetic aperture integral imaging(SAII)이 채택되었다. 컴퓨터(Computational) II에서는 복원 면의 위치에 따라 복원되는 영상의 촛첨이 맺히는 영역이 달라진다. 심하게 은폐된 물체 영상의 복원은 은폐 물체의 블러링(bluring) 효과가 복원 면에 전체적으로 크게 나타나기 때문에 선명한 복원을 할 수가 없다. 이러한 은폐물의 블러링 효과가 제거된 복원 영상을 얻기 위해 분산 추정이라는 통계적인 방법이 채택되었다.

• Korean Chemical Engineering Research
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• 제54권1호
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• pp.89-93
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• 2016

본 연구에서는 식물세포배양으로부터 항암물질 파클리탁셀 및 이의 반합성 전구체 10-디아세틸파클리탁셀의 분리 양상을 조사하였다. 식물세포인 바이오매스를 이용한 분리/정제 공정인 용매를 이용한 바이오매스 추출, 액-액 추출, 흡착제 처리, 헥산 침전, 분별 침전을 순차적으로 수행한 결과, 흡착제 처리 공정에서 10-디아세틸파클리탁셀는 파클리탁셀로부터 가장 효과적으로 분리됨을 알 수 있었다. 파클리탁셀 및 10-디아세틸파클리탁셀 분리에 적합한 흡착제 종류, 건조시료/흡착제 비율, 흡착제 처리 온도는 각각 실로퓨트, 1:1.5(w/w), $20^{\circ}C$ 이었다. 최적의 흡착제 처리 조건에서 10-디아세틸파클리탁셀은 74.1% 분리/회수 가능하였다.

• 한국전자파학회논문지
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• 제24권12호
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• pp.1205-1214
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• 2013

최근 우주에서의 SAR(synthetic aperture radar) 시스템은 영상 해상도와 주파수가 높아지고 있다. 높은 품질의 영상 해상도 일수록 높은 대역폭이 요구되고 RF 구성을 사용하는 광대역 신호 발생기는 매우 복잡해지고 RF 소자의 불균형 성분이 증가한다. 그러므로 이러한 에러를 줄이고 성능을 개선하는것은 매우 중요하다. 본 연구에서, 광대역 신호 발생기의 송신 신호는 위상 잡음, 직교불균형, 비선형 증폭기의 에러 모델이 적용된다. 그리고 광대역 파형 발생기의 가능한 구조들을 정의하고 평가 방법으로 PSLR(peak side lobe ratio)과 ISLR(integrated side lobe ratio)을 측정하였다. 또한, 파형으로부터 진폭과 위상 에러를 추출하고 이차 다항식을 사용하여 비선형 소자에 따른 성능 변화를 검토 하였다. 마지막으로 고출력 증폭기의 비선형 에러를 보상하기 위한 사전왜곡방식을 적용하여 혼변조 성분에 의한 증폭기 출력의 왜곡이 15 dB 감소됨을 확인하였다.

• BMB Reports
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• 제45권2호
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• pp.59-70
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• 2012

Carbon catabolite repression (CCR) is a key regulatory system found in most microorganisms that ensures preferential utilization of energy-efficient carbon sources. CCR helps microorganisms obtain a proper balance between their metabolic capacity and the maximum sugar uptake capability. It also constrains the deregulated utilization of a preferred cognate substrate, enabling microorganisms to survive and dominate in natural environments. On the other side of the same coin lies the tenacious bottleneck in microbial production of bioproducts that employs a combination of carbon sources in varied proportion, such as lignocellulose-derived sugar mixtures. Preferential sugar uptake combined with the transcriptional and/or enzymatic exclusion of less preferred sugars turns out one of the major barriers in increasing the yield and productivity of fermentation process. Accumulation of the unused substrate also complicates the downstream processes used to extract the desired product. To overcome this difficulty and to develop tailor-made strains for specific metabolic engineering goals, quantitative and systemic understanding of the molecular interaction map behind CCR is a prerequisite. Here we comparatively review the universal and strain-specific features of CCR circuitry and discuss the recent efforts in developing synthetic cell factories devoid of CCR particularly for lignocellulose-based biorefinery.