• Journal of applied mathematics & informatics
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• 제41권5호
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• pp.1115-1128
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• 2023

In this paper, a novel hybrid method for multi-focus image fusion is proposed. The method combines the advantages of wavelet transform-based methods and focus-measure-based methods to achieve an improved fusion result. The input images are first decomposed into different frequency sub-bands using the discrete wavelet transform (DWT). The focus measure of each sub-band is then calculated using the Laplacian of Gaussian (LoG) operator, and the sub-band with the highest focus measure is selected as the focused sub-band. The focused sub-band is sharpened using an unsharp masking filter to preserve the details in the focused part of the image.Finally, the sharpened focused sub-bands from all input images are fused using the maximum intensity fusion method to preserve the important information from all focus images. The proposed method has been evaluated using standard multi focus image fusion datasets and has shown promising results compared to existing methods.

• 한국측량학회지
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• 제33권3호
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• pp.203-209
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• 2015

This paper discusses the effectiveness of using Landsat 8 TIR (Thermal Infrared) band images to improve the accuracy of landuse/landcover classification of urban areas. According to classification results for the study area using diverse band combinations, the classification accuracy using an image fusion process in which the TIR band is added to the visible and near infrared band was improved by 4.0%, compared to that using a band combination that does not consider the TIR band. For urban area landuse/landcover classification in particular, the producer’s accuracy and user’s accuracy values were improved by 10.2% and 3.8%, respectively. When MLC (Maximum Likelihood Classification), which is commonly applied to remote sensing images, was used, the TIR band images helped obtain a higher discriminant analysis in landuse/landcover classification.

• 한국지리정보학회지
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• 제12권4호
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• pp.125-135
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• 2009

FIHS(Fast Intensity Hue Saturation) 융합은 빠른 계산 능력 때문에 널리 이용되고 있으나 IHS(Intensity Hue Saturation) 융합과 마찬가지로 분광정보 왜곡 현상이 나타난다. 본 논문에서는 각 분광 대역의 비율을 이용하여 분광정보 왜곡을 줄일 수 있는 융합법(FIHS-BR)과 공간정보 및 분광 대역의 비율을 활용한 적응 FIHS 융합법(FIHS-SABR)을 제안하였다. 제안한 FIHS-BR 융합은 각 분광 대역의 비율을 이용하여 구한 분광 대역별로 서로 다른 공간 해상도 개선 값을 더하여 분광정보 왜곡을 줄일 수 있도록 하였으며, FIHS-SABR 융합은 국부 영상의 공간정보 특성에 따라 적응적으로 결정된 공간 해상도 개선 값을 각 분광 대역의 비율에 따라 분광 대역별로 재조정하여 분광 정보 왜곡을 더 많이 줄일 수 있도록 하였다. 제안한 FIHS-BR 융합과 FIHS-SABR 융합의 성능을 확인하기 위하여 IKONOS 위성 영상에 대하여 컴퓨터 시뮬레이션을 수행하였으며, 실험 결과 제안 방법들이 기존 융합 영상에서 색상 왜곡이 심하게 나타나는 삼림지역 등에서 색상 왜곡 현상이 적게 나타남을 확인할 수 있었으며, 융합 영상의 분광정보 특성 평가 결과도 가장 우수함을 확인할 수 있었다.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2003년도 생물공학의 동향(XII)
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• pp.539-542
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• 2003

SDS-PAGE 결과 elution pH에 따라 분리되는 band pattern은 비슷하게 2band의 양상을 보이지만, FI값을 비교하여 보았을 때 다른 pH보다 8.0에서 가장 높은 수준을 보였으므로 GFPuv/cytochrome c-552 fusion Protein의 분리 ${\cdot}$ 정제에 가장 적합한 pH를 8.0으로 정하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제7권2호
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• pp.130-136
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• 2015

In this paper, we analyzed the adjacent channel interference of the LTE band 40 defined by 3GPP on the WLAN system based on the Monte-Carlo method, and found the guard band required for compatibility between the two systems. This study have a difference compared to the previous studies about cell radius was determined using Extended Hata Model considering practical environment, interference protection distance related to guard band, and the spectrum emission mask improvement effect for minimizing the interference. Simulation results, for no channel interference compatibility of LTE and WLAN for mobile satellite wireless package system, we can find the need 15MHz guard band at specified spectrum emission mask and 10MHz guard band at assumed spectrum emission mask.

• 제어로봇시스템학회논문지
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• 제19권12호
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• pp.1081-1088
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• 2013

Hyperspectral cameras acquire reflectance values at many different wavelength bands. Dimensions tend to increase because spectral information is stored in each pixel. Several attempts have been made to reduce dimensional problems such as the feature selection using Adaboost and dimension reduction using the Simulated Annealing technique. We propose a novel material detection method that consists of four steps: feature band selection, feature extraction, SVM (Support Vector Machine) learning, and target and specific region detection. It is a combination of the band ratio method and Simulated Annealing algorithm based on detection rate. The experimental results validate the effectiveness of the proposed feature selection and band ratio method.

• International Journal of Industrial Entomology and Biomaterials
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• 제8권2호
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• pp.145-149
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• 2004

The expression of a fusion protein comprised of the B. thuringiensis crystal protein, Cry1Ac, and enhanced green fluorescent protein (EGFP) in Escherichia coli XLl-blue was examined. Three recombinant plasmids were transformed into E. coli XL1-blue and named as ProAc/Ec, MuEGFP/Ec and ProMu-EGFP/Ec, respectively. All transformants were observed by light and fluorescence microscopy at mid-log phase. The expression in E. coli transformants, ProMu-EGFP/Ec and MuEGFP/Ec, exhibited bright enough fluorescence to be observed. Furthermore, ProMu-EGFP/Ec produced fluorescent inclusions, which may have been recombinant crystals between EGFP and Cry1Ac while MuEGFP/Ec expressed soluble EGFP in cell. In SDS-PAGE, ProAc/Ec had 130 kDa crystal protein band and MuEGFP/Ec had thick 27 kDa EGFP band. However, ProMu-EGFP/Ec had about 150 kDa fusion protein band. Accordingly, these results indicated that a fusion protein between the B. thuringiensis crystal protein and a foreign protein under the lacZ promoter was successfully expressed as granular structure in E. coli. It is suggested that the E. coli expression system by N-terminal fusion of B. thuringiensis crystal protein may be useful as excellent means for fusion expression and characterization of B. thuringiensis fusion crystal protein.

• 한국산학기술학회논문지
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• 제10권10호
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• pp.2615-2618
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• 2009

본 논문에서는 WLAN 11 a/b/g 대역(2.4 GHz/5.5 GHz)용 4개의 브릿지(bridge)를 가진 이중 사각 패치(double rectangular patch) 안테나를 소개 하였다. 5.5 GHz 주파수 대역용 평면형 사각 패치는 이중 대역동작을 위해 2.4 GHz에서 동작하는 외부 사각 패치와 4개의 인덕티브 브릿지(inductive bridge)를 통해 연결되어 있다. 제안된 안테나는 4개의 인덕티브 브릿지의 넓이를 가변 하여 사용 주파수 대역을 튜닝 할 수 있으며, 안테나의 최대 이득은 5.5 GHz 주파수 대역에서 3.7 dBi 이고 2.4 GHz 주파수 대역에서는 5 dBi이다.

• 한국측량학회지
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• 제36권3호
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• pp.135-152
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• 2018

The purpose of this study is to propose an optimal fusion method of aerial multi - sensor data to improve the accuracy of land cover classification. Recently, in the fields of environmental impact assessment and land monitoring, high-resolution image data has been acquired for many regions for quantitative land management using aerial multi-sensor, but most of them are used only for the purpose of the project. Hyperspectral sensor data, which is mainly used for land cover classification, has the advantage of high classification accuracy, but it is difficult to classify the accurate land cover state because only the visible and near infrared wavelengths are acquired and of low spatial resolution. Therefore, there is a need for research that can improve the accuracy of land cover classification by fusing hyperspectral sensor data with multispectral sensor and aerial laser sensor data. As a fusion method of aerial multisensor, we proposed a pixel ratio adjustment method, a band accumulation method, and a spectral graph adjustment method. Fusion parameters such as fusion rate, band accumulation, spectral graph expansion ratio were selected according to the fusion method, and the fusion data generation and degree of land cover classification accuracy were calculated by applying incremental changes to the fusion variables. Optimal fusion variables for hyperspectral data, multispectral data and aerial laser data were derived by considering the correlation between land cover classification accuracy and fusion variables.

• 융합신호처리학회논문지
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• 제12권2호
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• pp.113-118
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• 2011

본 논문에서는 무선센서네트워크에서 이루어지는 협동적 센서융합을 이용한 화자성별분류를 제안하였다. 센서노드들은 BER(Band Energy Ratio) 기반 음성활동검출을 수행함으로써 불필요한 입력 데이터는 제거하고 관련성이 높은 데이터만을 처리 및 경판정한다. 개별적 센서노드에서 생성된 경판정 값들은 융합센터로 송신되고 전역적 결정 융합을 구축하기 때문에 전력 소모를 줄이고 네크워크 자원을 절약한다. 화자성별분류를 위한 센서융합기법으로써 베이시안(Bayesian) 센서융합 및 전역적 가중결정융합가법들이 제안되었다. 베이시안 센서융합의 경우, 배치되는 센서노드 수 변화에 따른 ROC(Receiver Operating Characteristic) 커브의 동작점을 통해 개별 센서노드 레벨에서 얻어진 경판정 값들을 처리하고 최적의 분류 융합을 결정한다. 전역적 결정을 위한 가중치로써 BER 및 MCL(Mutual Confidence Level)을 채택하여 개별적 지역 경판정 값들을 효율적으로 결합 및 융합시킨다. 센서 노드의 수가 증가함에 따라 분류화 성능이 개선되어졌으며 특히 낮은 SNH(Signal to Noise Ratio) 환경에서 성능 개선폭이 더 높게 나타남을 실험적으로 확인하였다.