• Journal of the Korean Wood Science and Technology
• /
• v.36 no.6
• /
• pp.96-104
• /
• 2008

In this study, the observation of test pieces with an optical microscope was carried out after fabricating 4 groups of standard lacquer, in order to inquire into the ancient lacquering techniques. Group I had transparent reddish brown color, and the part of layer was indefinite, and the layer polished was easily distinguished. Group II had mostly transparent yellowish brown color, and it was possibility distinguished the layers when they were varnished with mixed lacquer after prime coating, and when they were varnished with lacquer as the prime coating. Group III set up membrane in the hardening process of the lacquer, and the lacquer and the unsaturated fatty acid of internal part was dried, so the top layer and the lacquer layer were separated and observed. Group IV: When the lacquer coat film of Group IV test pieces were observed in polarized light, the ferrous components were seen as the black and red color were mixed, and the silica crystals of silty soil were distinguished by reflection of lights. And the colors were distinguished as the lacquer layer of ruddle had red color, and the mixed lacquer of reddish lacquer and ruddle had the deep red color at the top and the bottom, but the middle part had the bright red color.

• International Journal of Internet, Broadcasting and Communication
• /
• v.12 no.2
• /
• pp.1-7
• /
• 2020

The secure access the lighting, Heating, ventilation, and air conditioning (HVAC), fire safety, and security control boxes of building facilities is the primary objective of future smart buildings. This paper proposes an authorized user access to the electrical, lighting, fire safety, and security control boxes in the smart building, by using color grid coded optical camera communication (OCC) with face recognition Technologies. The existing CCTV subsystem can be used as the face recognition security subsystem for the proposed approach. At the same time a smart device attached camera can used as an OCC receiver of color grid code for user access authentication data sent by the control boxes to proceed authorization. This proposed approach allows increasing an authorization control reliability and highly secured authentication on accessing building facility infrastructure. The result of color grid code sequence received by the unauthorized person and his face identification allows getting good results in security and gaining effectiveness of accessing building facility infrastructure. The proposed concept uses the encoded user access authentication information through control box monitor and the smart device application which detect and decode the color grid coded informations combinations and then send user through the smart building network to building management system for authentication verification in combination with the facial features that gives a high protection level. The proposed concept is implemented on testbed model and experiment results verified for the secured user authentication in real-time.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.3
• /
• pp.27-35
• /
• 2010

Accurately extracting skin color regions is very important in various areas such as face recognition and tracking, facial expression recognition, adult image identification, health-care, and so forth. In this paper, we evaluate the performances of several skin color detection algorithms in indoor environments by changing the distance between the camera and the object as well as the background colors of the object. The distance is from 60cm to 120cm and the background colors are white, black, orange, pink, and yellow, respectively. The algorithms that we use for the performance evaluation are Peer algorithm, NNYUV, NNHSV, LutYUV, and Kimset algorithm. The experimental results show that NNHSV, NNYUV and LutYUV algorithm are stable, but the other algorithms are somewhat sensitive to the changes of backgrounds. As a result, we expect that the comparative experimental results of this paper will be used very effectively when developing a new skin color extraction algorithm which are very robust to dynamic real environments.

• Journal of the Korea Institute of Building Construction
• /
• v.23 no.6
• /
• pp.863-873
• /
• 2023

This research explores the efficacy of safety vest colors at construction sites to enhance worker safety. Utilizing the Munsell color system and the Korean Standard Color Analysis program(KSCA), the study developed a prototype safety vest tailored to specific types of construction work. A safety vest with a color contrasting the site's environment significantly improves worker visibility and intuitiveness in identification, potentially reducing safety incidents. The study determined the optimal color specifications(hue, value, chroma) for safety vests in various construction roles, such as 10GY, 8, 8 for rebar placement, 8.75B, 7, 8 for Euroform, 3.75B, 2, 4 for Gangform, and 6.25BG, 5, 10 for steel erection. Feedback from construction experts on these prototypes, particularly regarding the safety vests for rebar placement and steel framework, was overwhelmingly positive(90% approval). Consequently, the proposed safety vest color scheme is deemed highly effective.

• Archives of Pharmacal Research
• /
• v.2 no.2
• /
• pp.153-157
• /
• 1979

The carpophores of three Korean mushrooms, Coriolus versicolor, Pleurotus ostreatus, and Lentinus edodes were respectively extracted with hot water and the extract were dialyzed through Visking tube. They were found to contain an antinumor activity against sarcoma 180 implanted in mice. The components of these aqueous extracts were found to be polysaccharide and protein by color reactions including anthrone and Lowry-Folin tests. The hydrolysis of the polysaccharide with 3% HCI-MeOH and trimethylsilylation yielded four monosaccharides : glucose, mannose, galactose and xylose which were identified by G. L. C. After hydrolysis of protein with 6N HCL, fourteen to seventeen amino acids including aspartic and glutamic acids were detected by an amino acid analyzer.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2009.01a
• /
• pp.164-169
• /
• 2009

As one of the most interesting scenes, landmarks constitute a large percentage of the vast amount of scene images available on the web. On the other hand, a specific "landmark" usually has some characteristics that distinguish it from surrounding scenes and other landmarks. These two observations make the task of accurately estimating geographic information from a landmark image necessary and feasible. In this paper, we propose a method to identify landmark location by means of landmark recognition in view of significant viewpoint, illumination and temporal variations. We use GPS-based clustering to form groups for different landmarks in the image dataset. The images in each group rather fully express the possible views of the corresponding landmark. We then use a combination of edge and color histogram to match query to database images. Initial experiments with Zubud database and our collected landmark images show that is feasible.

• Korean Journal of Agricultural Science
• /
• v.39 no.2
• /
• pp.211-217
• /
• 2012

There is an emerging interest in using DNA markers for breed identification in animals. This article reviews the breed identification markers in chicken, mainly developed in Chungnam National University, with particular emphasis on the mitochondrial DNA markers and the nuclear DNA markers including the SNPs in MHC region and the plumage color related MC1R markers. This information would be very useful for an appropriate conservation breeding program as well as for the establishment of molecular markers for chicken breed identifications.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.05a
• /
• pp.615-618
• /
• 2019

Visual saliency detection is an important part in various vision-based applications. There are a myriad of techniques for saliency detection in color images. However, the number of methods for saliency detection in infrared images is inadequate. In this paper, we introduce a simple approach for pedestrian identification in infrared images using saliency. The input image is thresholded into several Boolean maps, an initial saliency map is then calculated as a weighted sum of created Boolean maps. The initial map is further refined by using thresholding, morphology operation, and Gaussian filter to produce the final, high-quality saliency map. The experiment showed that the proposed method produced high performance results when applied to real-life data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2019.05a
• /
• pp.488-489
• /
• 2019

We propose a method to identify vehicle type by the formula of distance between feature points of vehicle and proportional rate of size. Car images are converted from the basic RGB model to the gray color model. Perform Canny Edge Direction to remove the background image of the car. The desired feature points are obtained through contour extraction.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.9
• /
• pp.3186-3203
• /
• 2021

In this paper, a multi-scale local difference directional number (MLDDN) pattern is proposed for pig identification. Firstly, the color images of individual pig are converted into grey images by the most significant bits (MSB) quantization, which makes the grey values have better discrimination. Then, Gabor amplitude and phase responses on different scales are obtained by convoluting the grey images with Gabor masks. Next, by calculating the main difference of local edge directions instead of traditionally edge information, the directional numbers of Gabor amplitude and phase responses are encoded. Finally, the block histograms of the encoded images are concatenated on each scale, and the maximum pooling is adopted on different scales to avoid the high feature dimension. Experimental results on two pigsties show that MLDDN impressively outperforms the other widely used local descriptors.