• Journal of Sasang Constitutional Medicine
• /
• v.34 no.4
• /
• pp.13-26
• /
• 2022

Objectives The purpose of this study was to explore the differences in allergic reactions by type of Sasang constitution using multiple allergen simultaneous test(MAST). Methods This study was conducted using the big data of Korean medical health checkups. Subjects with a history of allergic disease, Sasang constitution type information, and MAST results were included. Subjects who had taken drugs before MAST that affected allergic reactions were excluded. We compared total immunoglobulin E(IgE) concentrations, and the number of positive antigens by Sasang constitution using analysis of variance. The presence or absence of a positive reaction and specific IgE concentration classes of 92 antigens in MAST were analyzed by Fisher's exact test or Chi-squared test. Results The distribution of Sasang constitutional types of Tae-Yang, Tae-Eum, So-Yang, and So-Eum among 147 subjects was 2.7%, 42.9%, 38.1%, and 16.3%, respectively. There was no statistically significant difference in the total IgE concentration, the number of positive antigens, and specific IgE concentration classes for each antigen. There was a statistically significant difference in MAST-positive reaction for alder and pine antigens by type of Sasang constitution, and Tae-Eum had the most. Conclusions Tae-Eum showed a relatively strong positive reaction to a large number of antigens compared to the other types, but no statistically significant difference was observed. It is necessary to continuously investigate allergic reactions to provide evidence for the treatment of allergic diseases by Sasang constitution.

• KIPS Transactions on Computer and Communication Systems
• /
• v.11 no.12
• /
• pp.445-452
• /
• 2022

Class distribution of unbalanced data is an important part of the digital world and is a significant part of cybersecurity. Abnormal activity of unbalanced data should be found and problems solved. Although a system capable of tracking patterns in all transactions is needed, machine learning with disproportionate data, which typically has abnormal patterns, can ignore and degrade performance for minority layers, and predictive models can be inaccurately biased. In this paper, we predict target variables and improve accuracy by combining estimates using Synthetic Minority Oversampling Technique (SMOTE) and Light GBM algorithms as an approach to address unbalanced datasets. Experimental results were compared with logistic regression, decision tree, KNN, Random Forest, and XGBoost algorithms. The performance was similar in accuracy and reproduction rate, but in precision, two algorithms performed at Random Forest 80.76% and Light GBM 97.16%, and in F1-score, Random Forest 84.67% and Light GBM 91.96%. As a result of this experiment, it was confirmed that Light GBM's performance was similar without deviation or improved by up to 16% compared to five algorithms.

• Journal of Digital Convergence
• /
• v.20 no.2
• /
• pp.217-223
• /
• 2022

Subspace clustering for online data streams requires a large amount of memory resources as all subsets of data dimensions must be examined. In order to track the continuous change of clusters for a data stream in a finite memory space, in this paper, we propose a grid-based subspace clustering algorithm that effectively uses memory resources. Given an n-dimensional data stream, the distribution information of data items in data space is monitored by a grid-cell list. When the frequency of data items in the grid-cell list of the first level is high and it becomes a unit grid-cell, the grid-cell list of the next level is created as a child node in order to find clusters of all possible subspaces from the grid-cell. In this way, a maximum n-level grid-cell subspace tree is constructed, and a k-dimensional subspace cluster can be found at the k^th level of the subspace grid-cell tree. Through experiments, it was confirmed that the proposed method uses computing resources more efficiently by expanding only the dense space while maintaining the same accuracy as the existing method.

• Journal of the Korean Crystal Growth and Crystal Technology
• /
• v.32 no.4
• /
• pp.159-167
• /
• 2022

In the past few decade years, laboratory-grown diamonds, also known as synthetic diamonds usually, have become more and more prosperous in the global diamond market. There are two main crystal growth processes of the gem-quality laboratory-grown diamond, the high pressure and high temperature (HPHT) and chemical vapor deposition (CVD). Synthetic gem diamonds grown by the HPHT press have been commercially available since the mid-1990s. Today, significant amounts of gem-quality colorless HPHT laboratory-grown diamonds have been producing for the jewelry industry. In the last several years, the CVD laboratory-grown diamonds have been gaining popularity in the market. In 2021, the CVD production rose and there are expectations that the trend would move upward continuously. This article presents information about the current status of laboratory-grown diamonds, lower cost compared to natural diamonds, market share, color distribution, spectroscopic properties of laboratory-grown diamonds, and so on.

• Proceedings of the National Institute of Ecology of the Republic of Korea
• /
• v.3 no.4
• /
• pp.191-198
• /
• 2022

Natural habitats of the Korean long-tailed goral (Naemorhedus caudatus) have been fragmented by anthropogenic activities in South Korea in the last decades. Here, the individual identity, genetic variation, and population differentiation of the endangered species were examined via the multiple-tube approach using a non-invasive genotyping method. The average number of alleles was 3.16 alleles/locus for the total population. The Yanggu population (1.66) showed relatively lower average number of alleles than the Inje population (3.67). Of the total 19 alleles, only seven (36.8%) alleles were shared by the two populations. Using five polymorphic out of six loci, four and six different goral individuals from the captive Yanggu (n=24) and the wild Inje (n=28) population were identified, respectively. The allele distribution was not identical between the two populations (Fisher's exact test: P<0.01). A considerably low migration rate was detected between the two populations (no. of migrants after correction for size=0.294). Additionally, the F statistics results indicated significant population differentiation between them, however, quite low (F_ST=0.327, P<0.01). The posterior probabilities indicated that the two populations originated from a single panmictic population (P=0.959) and the assignment test results designated all individuals to both populations with nearly equal likelihood. These could be resulted from moderate population differentiation between the populations. No significant evidence supported recent population bottleneck in the total Korean goral population. This study could provide us with useful population genetic information for conservation and management of the endangered species.

• Fashion & Textile Research Journal
• /
• v.24 no.4
• /
• pp.460-470
• /
• 2022

Customized cosmetics are emerging as a consumer product that companies should pay attention to in the beauty industry due to the combination of market trends and institutional introduction of customized cosmetics. In this study, six offline service brands and online service brands currently in Korea were selected to understand the current status of domestic customized cosmetics online and offline services and to derive detailed characteristics, and the cases of each brand were analyzed. The results are as follows. First, customized cosmetics services could be classified online and offline. Second, customized cosmetics brands could be divided into general brand types and brand extension types. Third, skin data measurements could be classified into genetic analysis, big data-based surveys, and device measurements. Fourth, customized cosmetics manufacturing could be classified into a device manufacturing system, a consultant manufacturing system, and an individual production process system. Fifth, customized cosmetics distribution and delivery could be classified into same-day sales, general delivery, and regular delivery. The results of this study are meaningful in that they have identified and analyzed the current status of personalized cosmetics on-line and offline systems in recent trends, and it was confirmed that creative attempts in the domestic customized cosmetics market continue to change. It is hoped that this study will provide information and ideas to the beauty industry and related experts in the future and be used as basic data for customized cosmetics marketing

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.1
• /
• pp.219-230
• /
• 2023

Marine waste is classified according to its location into coastal waste, floating waste, and submerged waste. As awareness of environmental issues increases, research on marine submerged waste in addition to visible trash is needed. In Korea, which is surrounded by the sea on three sides, this is a study on the distribution of marine sedimentary waste by type in the West Sea of Korea. Through the study, waste synthetic resin, scrap metal, waste tires, and others appeared in the order of large amounts. As a result showing the seriousness of waste synthetic resin among sediments deposited in the West Sea, it is expected to have a huge impact not only on the marine ecosystem but also on our lives in the near future. Through this study, it is judged that it will be helpful for future collection activities by recognizing marine submerged waste that was not known because it was invisible.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.2
• /
• pp.103-111
• /
• 2023

This paper proposes a new data correction technique that transforms anomalies in time series data into normal values. With the recent development of IT technology, a vast amount of time-series data is being collected through sensors. However, due to sensor failures and abnormal environments, most of time-series data contain a lot of anomalies. If we build a predictive model using original data containing anomalies as it is, we cannot expect highly reliable predictive performance. Therefore, we utilizes the LSTM-GAN model to detect anomalies in the original time series data, and combines DTW (Dynamic Time Warping) and GAN techniques to replace the anomaly data with normal data in partitioned window units. The basic idea is to construct a GAN model serially by applying the statistical information of the window with normal distribution data adjacent to the window containing the detected anomalies to the DTW so as to generate normal time-series data. Through experiments using open NAB data, we empirically prove that our proposed method outperforms the conventional two correction methods.

• Korean Journal of Veterinary Service
• /
• v.45 no.4
• /
• pp.269-275
• /
• 2022

Blood type in dogs is based on the antigen present on the red blood cell surface. Dog erythrocyte antigen 1 is a crucial red blood cell antigen in dogs, whereas the dog erythrocyte antigen 7 has been studied in limited dog breeds worldwide. To assess the prevalence of dog erythrocyte antigens 1 and 7 in 11 breeds in the Republic of Korea, 624 dog blood samples were examined for antigen detection. Overall, 520 dogs (83.3%) showed dog erythrocyte antigen 1 expression. The distribution varied from 50.0~100.0% according to the breed. Dog erythrocyte antigen 1-positive blood type was the highest in Chihuahua (100%), followed by Jindo dog (98.5%), and Sapsaree (95.3%). Dog erythrocyte antigen 7 was positive in 125 dogs (20.0%), and the positivity varied from 5.0~42.9% according to the breed. Dog erythrocyte antigen 7-positive blood type was the highest in Beagle (42.9%), followed by Chihuahua (37.5%), and Jindo dog (27.8%). The high prevalence of dog erythrocyte antigen 1 is because of the high proportion of Jindo dog and Sapsaree breeds that were mostly positive for the antigen. The high abundance of these breeds could be due to inbreeding and local breeding in the Republic of Korea. To our best knowledge, this study is the first to report on the prevalence of dog erythrocyte antigens 1 and 7 among various canine breeds in the Republic of Korea. The prevalence data obtained from this study may contribute to baseline information on veterinary transfusion medicine in small animal practice.

• Journal of the Economic Geographical Society of Korea
• /
• v.26 no.1
• /
• pp.55-71
• /
• 2023

This paper theoretically explores the calculation of development impact fees focusing on urban growth, new urban development, developer, urban planner, housing, real estate market, community planning, community financing, local government, land use planning, public facilities, and development cost. Many questions related to who bears the burden of paying impact fees beg for answers based on empirical analysis. Those questions involve the extent to which landowners bear the burden, the effect of different levels of impact fees on the socioeconomic mix of communities, the distribution of fiscal benefits within a region where urban communities assess different levels of impact fees, and the preparedness of urban communities to accommodate development displaced by impact fees. Broader questions also relate to how urban and regional form is affected by differential application of impact fees throughout an area and whether money gained from the impact fees makes regional growth more or less efficient. Who ultimately pays development impact fees? There has been little empirical evaluation of how the market responds to development impact fees, but there is considerable information to suggest that, on the whole, the occupants - residents and users - pay the majority of the development impact fees.