• Journal of the Society of Disaster Information
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• v.14 no.4
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• pp.501-509
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• 2018

Purpose: UAV-based photo measurements are being researched using UAVs in the space information field as they are not only cost-effective compared to conventional aerial imaging but also easy to obtain high-resolution data on desired time and location. In this study, the UAV-based high-resolution images were used to perform the land cover classification. Method: RGB cameras were used to obtain high-resolution images, and in addition, multi-distribution cameras were used to photograph the same regions in order to accurately classify the feeding areas. Finally, Land cover classification was carried out for a total of seven classes using created ortho image by RGB and multispectral camera, DSM(Digital Surface Model), NDVI(Normalized Difference Vegetation Index), GLCM(Gray-Level Co-occurrence Matrix) using RF (Random Forest), a representative supervisory classification system. Results: To assess the accuracy of the classification, an accuracy assessment based on the error matrix was conducted, and the accuracy assessment results were verified that the proposed method could effectively classify classes in the region by comparing with the supervisory results using RGB images only. Conclusion: In case of adding orthoimage, multispectral image, NDVI and GLCM proposed in this study, accuracy was higher than that of conventional orthoimage. Future research will attempt to improve classification accuracy through the development of additional input data.

• Journal of Korea Foundry Society
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• v.4 no.4
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• pp.20-29
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• 1984

It is very important to obtain gray and ductile cast irons with completely pearlitic structure by addition more economical alloying elements. In this study, 9 melts of gray iron and 5 melts of Mg-treated ductile cast iron were made according to Sb content (0-0.08% Sb). Each melt were casted to ${\phi}20mm$ test bars in sand mold under the same condition and inspected microstructure, mechanical and thermal properties. The results obtained from this study are as follows: 1. It is confirmed that Sb should be an economical, simple and useful additive for avoiding ferrite in gray and even in ductile cast irons. 2. For gray cast iron, the recommended ladle addition of metallic Sb amounts to 0.05%. At these levels, Sb has no detrimental influence on the mechanical properties of gray cast irons, which are normally modified according to their pearlite content without increasing the chilling tendency. 3. Despite its adverse influence on graphite shape in ductile iron, Sb can be used as a pearlite stabilizing alloying element even in the case of Mg - treated iron. The quantity to be added does not exceed 0.04% in the case of thinwalled castings. 4. The nodule count is increased very much and the shape of graphite particles become remarkably spheroidal. The matrix may be fully pearlitized, except for thin - walled castings, because the high nodule count results inevitably in some ferrite. 5. The $Ac_1$ and pearlite decomposition temperature are rised in accordance with increasing of additive Sb amount.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.11
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• pp.111-119
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• 1992

In this paper, we propose an edge detection scheme for noisy images based on the co-occurrence matrix. In the proposed scheme based on the step edge model, the gray level information is simply converted into a bit-map, i.e., the uniform and boundary regions of an image are transformed into a binary pattern by using the local mean. In this binary bit-map pattern, 0 and 1 densely distributed near the boundary region while they are randomly distributed in the uniform region. To detect the boundary region, the co-occurrence matrix on the bit-map is introduced. The effectiveness of the proposed scheme is shown via a quantitative performance comparison to the conventional edge detection methods and the simulation results for noisy images are also presented.

• Journal of Biomedical Engineering Research
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• v.13 no.1
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• pp.33-38
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• 1992

A new approach to texture classification for quantitative ultrasound liver diagnosis using run difference matrix was developed. The run difference matrix comprised the gray level difference along with a distances. From this run difference matrix, we defined several vectors and parameters such as DOD, DGD, DAD vector, SHP, SMO, SMG, LDE, LDEL etc. Each parameter values calculated in fatty, cirrhotic, normal and chronic hepatitic liver images were plotted in a plane and we found that RDM method was more sensitive to small structural changes than the conventional run length method and showed improved classification ability between the diseases.

• Journal of Information Display
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• v.13 no.1
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• pp.21-30
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• 2012

Active-matrix electrophoretic display (AMEPD) is commonly used for the applications of smart handheld reading devices such as e-books and e-news. This paper presents a new reduced waveform lookup table storage method that reduces the associated lookup table by approximately 2n (n is the number of gray levels employed) times the conventional one. The paper also proposes a driving method for image display. The method provides high-speed performance for image display and also effectively eliminates the image residue, achieving high image quality. The prototyped controller was connected to a 6" AMEPD panel, whose excellent display quality demonstrated the effectiveness of the proposed controller design.

• 한국정보디스플레이학회:학술대회논문집
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• 2002.08a
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• pp.108-112
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• 2002

A new pixel driving method for organic light-emitting diode (OLED) flat-panel display (FPD) is proposed. The new charge-pump passive-matrix pixel driver consists only of a storage capacitance and a rectifying diode, and no thin-film transistor (TFT) is needed. The new driver not only supplies a constant current to the OLED throughout the whole period of panel scanning like an active-matrix driver, but also provides a highly linear gray-scale control through a pure digital manner.

• Journal of Korean Society of Rural Planning
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• v.28 no.1
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• pp.57-69
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• 2022

Crop classification is very important for estimating crop yield and figuring out accurate cultivation area. The purpose of this study is to classify crops harvested in fall in Idam-ri, Goesan-gun, Chungcheongbuk-do by using unmanned aerial vehicle (UAV) images and support vector machine (SVM) model. The study proceeded in the order of image acquisition, variable extraction, model building, and evaluation. First, RGB and multispectral image were acquired on September 13, 2021. Independent variables which were applied to Farm-Map, consisted gray level co-occurrence matrix (GLCM)-based texture characteristics by using RGB images, and multispectral reflectance data. The crop classification model was built using texture characteristics and reflectance data, and finally, accuracy evaluation was performed using the error matrix. As a result of the study, the classification model consisted of four types to compare the classification accuracy according to the combination of independent variables. The result of four types of model analysis, recursive feature elimination (RFE) model showed the highest accuracy with an overall accuracy (OA) of 88.64%, Kappa coefficient of 0.84. UAV-based RGB and multispectral images effectively classified cabbage, rice and soybean when the SVM model was applied. The results of this study provided capacity usefully in classifying crops using single-period images. These technologies are expected to improve the accuracy and efficiency of crop cultivation area surveys by supplementing additional data learning, and to provide basic data for estimating crop yields.

• Journal of Korea Foundry Society
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• v.9 no.3
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• pp.221-227
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• 1989

The effect of sulfur content and inoculant on solidification microstructure and mechanical properties of gray cast iron have been investigated. The main results obtained are as follows, 1. In the FeSi3Ca1Ba inoculated irons, with the variation of sulfur content, low sulfur levels (${\sim}0.03%$) yield low chill depth, high tensile strength, good wear resistance and type A graphite with a pearlite matrix. High sulfur levels( >0.08%) provide high chill depth, low mechanical proper ties and type D graphite with small amount ferrite. 2. In case of inoculant variation with normal FeSi, FeSi3Ca1Ba, 30CaSi and uninoculation at 0.03%S level, lower chill depth and higher tensile strength was obtained in the order ; 30CaSi, FeSi3Ca1Ba normal FeSi, uninoculation.

• Journal of the Korean Applied Science and Technology
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• v.14 no.2
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• pp.27-34
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• 1997

Naphthoquinone-1,2-diazide-5-sulfonyl [NDS]derivatives members of Quinone diazide compound that are utilizable as photoresist for printing plate were synthesized, and photoresist were prepared by mixing these derivatives with a matrix resin(PF, CF) at various weight ratios. Photosensitive characteristics of photoresist were studied by Gray scale method, and SEM to analyze if they can be used as photosensitive material in a printing plate. Experimental results showed using IR, UV, NDS derivatives were photoconverted and developer-soluble photoresist were produced. Photoresist in the mixing ratio of 1:4 of NDS[II] and CF resin gave rise to the highest dissolution rate. In addition, photoresist obtained at this condition resulted in the most superior sensitivity.

• Current Optics and Photonics
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• v.5 no.6
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• pp.686-698
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• 2021

A camouflaged encryption scheme based on Hadamard matrix and ghost imaging is proposed. In the process of the encryption, an orthogonal matrix is used as the projection pattern of ghost imaging to improve the definition of the reconstructed images. The ciphertext of the secret image is constrained to the camouflaged image. The key of the camouflaged image is obtained by the method of sparse decomposition by principal component orthogonal basis and the constrained ciphertext. The information of the secret image is hidden into the information of the camouflaged image which can improve the security of the system. In the decryption process, the authorized user needs to extract the key of the secret image according to the obtained random sequences. The real encrypted information can be obtained. Otherwise, the obtained image is the camouflaged image. In order to verify the feasibility, security and robustness of the encryption system, binary images and gray-scale images are selected for simulation and experiment. The results show that the proposed encryption system simplifies the calculation process, and also improves the definition of the reconstructed images and the security of the encryption system.