• 대한전자공학회논문지SP
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• 제42권2호
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• pp.81-86
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• 2005

영상을 이용한 이동체의 확인과 추출은 용이하지 않다. 어떠한 이동체인지, 어떠한 주위환경인가에 따라 그 추출방식이 다양하고 특수화 될 수밖에 없기 때문에 좀 더 환경적 요소의 영향을 적게 받을 수 있는 방법이 요구 되고 있는 실정이다. 본 논문에서는 CCD 카메라의 촬영방식인 인터레이스 방식의 원리와 CCD의 노출 시간 동안 이동한 이동체 영상의 특징등 을 이용 촬영된 동영상중 이동체가 발견된 한 장의 정지영상에서 이동체를 추출할 수 있는 이동체 추출 알고리즘을 제안한다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.648-651
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• 2003

In this paper, we propose the recognition system of a license plate using SOM algorithm. The recognition of license plate was investigated by means of the SOM algorithm. The morphological information of horizontal and vertical edges was used to extract a plate region from a car image. In addition, the 4-direction contour tracking algorithm was applied to extract the specific area, which includes characters from an extracted plate area. Therefore, we proposed how to extract license plate region using morphological information and how to recognize the character string using SOM algorithm. In this paper, 50 car images were tested. The extraction rate obtained by the proposed extraction method showed better results than that from the color information of RGB and HSI, respectively. And the license plate recognition using SOM algorithm was very efficient.

• 식물조직배양학회지
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• 제27권4호
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• pp.283-297
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• 2000

Seeds are an ideal repository for recombinant proteins in molecular farming applications. However, in order to use plant seeds efficiently for the production of such proteins, it is necessary to understand a number of fundamental biological properties of seeds. This includes a full understanding of promoters which function in a seed-specific manner, the subcellular targeting of the desired polypeptide and the final form in which a protein is stored. Once a biologically active protein has been deposited in a seed, it is also critical that the protein can be extracted and purified efficiently. In this review, these issues are examined critically to provide a number of approaches which may be adopted for production of recombinant proteins in plants. Particular attention is paid to the relationship between subcellular localization and protein extraction and purification. The robustness and flexibility of seed-based production is illustrated by examples close to or already in commercial production.

• Advances in Energy Research
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• 제8권3호
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• pp.185-202
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• 2022

This research work focuses to design and simulate a 200W solar power system with electrical power conservation scheme as well as thermal power conservation modeling to improve power extraction from solar power plant. Many researchers have been already designed and developed different methods to extract maximum power while there were very researches are available on improving solar power thermally and mechanically. Thermal parameters are also important while discussing about maximizing power extraction of any power plant. A specific type of coolant which have very high boiling point is proposed to be use at the bottom surface of solar panel to reduce the temperature of panel in summer. A comparison between different maximum power point tracking (MPPT) technique and proposed MPPT technique is performed. Using this proposed Thermo-electrical MPPT (TE-MPPT) with Deep Learning Algorithm model 40% power is conserved as compared to traditional solar power system models.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.222-224
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• 2009

This paper presents an algorithm that extracts road lane's specific information by using HSI color information and performance enhancement of lane detection base on vision processing of drive assist. As a preprocessing for high speed lane detection, the optimal extraction of region of interest for lane boundary(ROI-LB) can be processed to reduction of detection region in which high speed processing is enabled and it also increases reliabilities by deleting edges those are misrecognized. Road lane is extracted with simultaneous processing of noise reduction and edge enhancement using the Laplacian filter, the reliability of feature extraction can be increased for various road lane patterns. Since noise can be removed by using saturation and brightness of HSI color model. Also it searches for the road lane's color information and extracts characteristics. The real road experimental results are presented to evaluate the effectiveness of the proposed method.

• 대한기계학회논문집B
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• 제31권10호
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• pp.860-867
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• 2007

Heat pump drying has a great potential for energy saving due to its high energy efficiency in comparison with conventional air drying. In the present study, the performance simulation for the basic design of a heat pump dryer has been carried out. The simulation includes one-stage heat pump cycle, simple drying process using the drying efficiency. As an example, the heat pump cycle with Refrigerant 134a has been investigated. For the operating conditions such as the average temperature of the condenser, the heat rate released in the condenser, the flow rate of drying air, and drying efficiency, the simulation has been carried out to figure out the performance of the dryer. The parameters considered in the design of the dryer are COP, MER, SMER, the rate of dehumidification, the temperature and humidity of drying air and those parameters are compared for different conditions after carrying out the simulation.

• 한국자기공명학회논문지
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• 제28권3호
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• pp.20-24
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• 2024

In a study utilizing NMR spectroscopy and chemometrics, propolis samples from seven diverse geographic regions across Turkey were analyzed. To identify the optimal method for studying both the antimicrobial properties and compositional variations of propolis from different regions, we investigated metabolite extraction using three solvents: water only, ethanol only, and sequential water-ethanol extraction for residual components. Notably, water-soluble components exhibited significant variation among the samples, which is particularly interesting considering the potability of propolis in water-based solutions. Furthermore, the Muğla sample displayed a distinct water-soluble profile, likely due to its unique coastal location on the Aegean Sea. This specific climate may influence the propolis' chemical composition, resulting in a different mixture of components. Interestingly, the Muğla sample contained pharmaceutically active compounds like cinnamate, ferulate, and verapamil. This research establishes a valuable foundation for further exploration of propolis' antimicrobial potential.

• Molecules and Cells
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• 제20권1호
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• pp.119-126
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• 2005

${\alpha}$-Expansins are bound to the cell wall of plants and can be solubilized with an extraction buffer containing 1 M NaCl. Localization of ${\alpha}$-expansins in the cell wall was confirmed by immunogold labeling and electron microscopy. The subcellular localization of vegetative ${\beta}$-expansins has not yet been studied. Using antibodies specific for OsEXPB3, a vegetative ${\beta}$-expansin of rice (Oryza sativa L.), we found that OsEXPB3 is tightly bound to the cell wall and, unlike ${\alpha}$-expansins, cannot be solubilized with extraction buffer containing 1 M NaCl. OsEXPB3 protein could only be extracted with buffer containing SDS. The subcellular localization of the OsEXPB3 protein was confirmed by immunogold labeling and electron microscopy. Gold particles were mainly distributed over the primary cell walls. Immunohistochemistry showed that OsEXPB3 is present in all regions of the coleoptile and root tissues tested.

• 한국산업융합학회 논문집
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• 제23권3호
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• pp.515-521
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• 2020

Deep learning methods have been effectively used to provide great improvement in various research fields such as machine learning, image processing and computer vision. One of the most frequently used deep learning methods in image processing is the convolutional neural networks. Compared to the traditional artificial neural networks, convolutional neural networks do not use the predefined kernels, but instead they learn data specific kernels. This property makes them to be used as feature extractors as well. In this study, we compared the quality of CNN features for traditional texture feature extraction methods. Experimental results demonstrate the superiority of the CNN features. Additionally, the recognition process and result of a pioneering CNN on MNIST database are presented.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2073-2078
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• 2007

This study was performed to develop a dryer for home clothes using thermoelectric module. The thermoelectric module was used as a heat source and a dehumidification device because it has heating part and cooling part at once. To design for maximizing the energy efficiency and the rate of dehumidification, the parameters of the dryer using thermoelectric module are heat capacity and air flow rate. This study showed that the thermoelectric module can be used in the clothes dryer and energy efficiency of clothes dryer be better than that of electric heating dryer.