• Journal of the Korean Society of Food Culture
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• v.20 no.2
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• pp.261-272
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• 2005

The color and its coordination should intensify the customer's memory and awareness in a brand website, through the consistent communication strategy by which a variety of brand identification in the offline could be expressed efficiently. We evaluated top 5 brand-valuable family restaurants in this study, how they made the best use of the website as a new communication channel, and how they constructed the brand identification by the coloring of a website. We found out that they employed colors with a dynamic and lilting feelings matching the concept of a family restaurant. In addition, A color scheme was well designed for the specific character of a brand, though web-safe colors were seldom employed. This report can be a guide to a corporation for the color and its coordination in the website, when existing brand images need to be intensified and enhanced, or when a new brand image need to be constructed.

• The International Journal of Costume Culture
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• v.2 no.1
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• pp.54-61
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• 1999

The purpose of this research was first to analyse and compare the types of microbes inherent among the unwashed and washed Kupori textiles, and second to investigate whether there is a difference between unwashed and washed Kupori textiles on the susceptibility of contamination by microorganism when exposed to the same microbial environment. Microbial identification procedure and the Shake Flask Test for investigating the effect of exposure to microbial environment were carried out separately. The result of microbial identification procedure indicated that a variety of bacteria and fungi were inherent in both unwashed and washed textiles and that the population of contaminated microorganism became more diverse after washing. The result of Shake Flask Test indicated that given the same exposure condition, the unwashed textiles tend to be more susceptible to bacterial contamination than the washed textiles. The results of the present study supported the current conservation procedures adopted in Korean museums which include washing and humigation procedures before long-term storage or display of exhumed textiles.

• Proceedings of the SCSK Conference
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• 2003.09b
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• pp.448-455
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• 2003

Because cosmetics are applied directly to human skin, contamination of such products by microorganisms should be carefully avoided. Since cosmetics are usually kept at room temperature and contain large amounts of nitrogen and carbon sources, they may easily become contaminated by a variety of microorganisms, such as bacteria, filamentous fungi, and yeasts. The rapid and accurate identification of these microorganisms is essential to prevent further expansion of such contamination and the damage it causes. However, more than 30 days and laboratory skills are usually necessary in order to identify microorganisms in cosmetic materials. These time and labor constraints may allow further damage of the cosmetic products and thereby harm the consumer.(omitted)

• Journal of the Semiconductor & Display Technology
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• v.18 no.3
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• pp.31-35
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• 2019

Human beings have been fascinated by the applicability of the medium of photography since the device was first introduced in the thirteenth century to acquire images by attempting primitive and rudimentary approaches. In the 21st century, it has been developed as a wide range of technology that enables not only the application of artistic expression as a method of replacing the human-hand-painted screen but also the planar recording form in the format of video or image. It is more effective to use the information extracted from the image data rather than to use a randomly given file name in order to provide a variety of services in the offline or online system. When extracting an identifier from a region of an image, high cost cannot be avoided. This paper discusses the image entropy-based approach and proposes a linear methodology to measure the image entropy in an effort to devise a solution to this method.

• International Journal of Contents
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• v.2 no.3
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• pp.27-32
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• 2006

We present an effective algorithm for automatic tracing of retinal vessel structure and vascular landmark extraction of bifurcations and ending points. In this paper we deal with vascular patterns from RGB images for personal identification. Vessel tracing algorithms are of interest in a variety of biometric and medical application such as personal identification, biometrics, and ophthalmic disorders like vessel change detection. However eye surface vasculature tracing in RGB images has many problems which are subject to improper illumination, glare, fade-out, shadow and artifacts arising from reflection, refraction, and dispersion. The proposed algorithm on vascular tracing employs multi-stage processing of ten-layers as followings: Image Acquisition, Image Enhancement by gray scale retinal image enhancement, reducing background artifact and illuminations and removing interlacing minute characteristics of vessels, Vascular Structure Extraction by connecting broken vessels, extracting vascular structure using eight directional information, and extracting retinal vascular structure, and Vascular Landmark Extraction by extracting bifurcations and ending points. The results of automatic retinal vessel extraction using jive different thresholds applied 34 eye images are presented. The results of vasculature tracing algorithm shows that the suggested algorithm can obtain not only robust and accurate vessel tracing but also vascular landmarks according to thresholds.

• Journal of Sensor Science and Technology
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• v.32 no.6
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• pp.378-385
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• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

• ALGAE
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• v.33 no.1
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• pp.49-54
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• 2018

Red algal mitochondrial genomes (mtDNAs) can provide useful information on species identification. mtDNAs of Pyropia / Porphyra (Bangiales, Rhodophyta) have shown diverse variation in their size and gene structure. In particular, the introns and intronic open reading frames found in the ribosomal RNA large subunit gene (rnl) and cytochrome c oxidase subunit 1 gene (cox1) significantly vary the mitochondrial genome size in Pyropia / Porphyra species. In this study, we examined the exon / intron structure of rnl and cox1 genes of Pyropia yezoensis at the intraspecific level. The combined data of rnl and cox1 genes exhibited 12 genotypes for 40 P. yezoensis strains, based on the existence of introns. These genotypes were more effective to identify P. yezoensis strains in comparison to the traditional DNA barcode cox1 marker (5 haplotypes). Therefore, the variation in gene structure of rnl and cox1 can be a novel molecular marker to discriminate the strains of Pyropia species.

• Journal of Korean society of Dental Hygiene
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• v.8 no.4
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• pp.241-250
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• 2008

In this study, specimens such as tongue, supragingival and subgingival biofilm were taken from total 20 scaling subjects who visited the oral prophylaxis practice lab at department of dental hygienics, J Health College in order to observe bacterial distributions and morphology using scanning electron microscopy(sem). as a result, this study came to the following conclusions: 1. According to observation of tongue, supragingival and subgingival biofilm through sem, it is found that there are round colonies of gram-positive cocci and gram-negative bacilli on blood agar medium. 2. The observation of bacterial morphology on dental biofilm through sem, cocci in chain cocci in cluster and bacillus(rod) respectively. 3. For tongue biofilm, it is found that a variety of bacterial species are detected, such as Granulicatolla adiacens(1), Gemella morbillorum(3), Streptococcus mitis(2), Streptococcus sanguinis(1), Aerococcus viridans (2), Streptococcus equinus(1), Leuconostoc spp.(1), Gemella haemolysans (1) and Lactococcus lactis spp.(1) respectively. 4. For supragingival biofilm, it is found that a variety of bacterial species detected, such as Aerococcus viridans(1), Gemella haemolysans(2), Leuconostoc spp.(2), Gemella morbillorum(1) and Pseudomonas fluoescens (1) respectively. 5. For subgingival biofilm, it is found that a variety of bacterial species detected, such as Leuconostoc spp.(1), Staphylococcus lugdunensis(1) and Streptococcus salivarius(1) respectively.

• Cross-Cultural Studies
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• v.29
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• pp.233-256
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• 2012

This paper aims to look into various symbolic meanings of the body shown in the film, Avatar (2009, James Cameron), and to ponder over a variety of media strategies carried by the pursuit of the corporality shown in this film. In a nutshell, the body in Avatar is a symbol of primitiveness rather than civilization, and the body language is a fundamental and effective means of communication much better than verbal language. A variety of physical contacts that appeared in many scenes of the movie emphasizes the role of the body as a means of real communication. Also, in the composition of the film dominated by the confrontation of civilization, numerous creatures in the planet Pandora with a variety of colors as well as a number of agencies and large body sizes express primitive richness. The narrative of the film telling the story of a 'moving' body ultimately emphasizes the superiority of the body with respect to consciousness, unlike the narrative of conventional movies dealing with the problems of the body. In addition, the corporality pursued by this film implies several important media strategies. It may reveal a self-reflection of the material civilization and the imperialism, or, on the contrary, an attempt to conceal or dilute them. It may also represent a self-reflection of the overdeveloped media technology, or simply the dilution of it. Finally, it may be an attempt to recover the feeling of "presence", not fully supported by the 3D technology, by the identification of the spectator's body and the character's body.

• Genomics & Informatics
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• v.16 no.4
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• pp.36.1-36.3
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• 2018

Next generation sequencing (NGS), a high-throughput DNA sequencing technology, is widely used for molecular biological studies. In NGS, RNA-sequencing (RNA-Seq), which is a short-read massively parallel sequencing, is a major quantitative transcriptome tool for different transcriptome studies. To utilize the RNA-Seq data, various quantification and analysis methods have been developed to solve specific research goals, including identification of differentially expressed genes and detection of novel transcripts. Because of the accumulation of RNA-Seq data in the public databases, there is a demand for integrative analysis. However, the available RNA-Seq data are stored in different formats such as read count, transcripts per million, and fragments per kilobase million. This hinders the integrative analysis of the RNA-Seq data. To solve this problem, we have developed a web-based application using Shiny, COEX-seq (Convert a Variety of Measurements of Gene Expression in RNA-Seq) that easily converts data in a variety of measurement formats of gene expression used in most bioinformatic tools for RNA-Seq. It provides a workflow that includes loading data set, selecting measurement formats of gene expression, and identifying gene names. COEX-seq is freely available for academic purposes and can be run on Windows, Mac OS, and Linux operating systems. Source code, sample data sets, and supplementary documentation are available as well.