• Journal of Microbiology and Biotechnology
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• v.25 no.2
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• pp.268-273
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• 2015

The fluorescent-antibody-to-membrane-antigen (FAMA) test is regarded as the "gold standard" to detect protective antibodies to varicella-zoster virus (VZV) because of its high sensitivity and specificity. Because the classic FAMA test uses an infectious virus for detection of antibodies to VZV, it is labor-intensive, and also requires special equipment for handling the virus. For this reason, we attempted to develop a simple and safe FAMA assay. Because VZV glycoprotein E (gE) is one of the major VZV glycoproteins, we used the gE protein for the FAMA test (gE FAMA). Here, we demonstrate that overexpression of gE in HEK293T cells can be used to measure antibodies in human serum, and that gE FAMA titers are closely correlated with gpEIA ELISA data. These results indicate that our gE FAMA test has the potential to measure antibodies to VZV.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.177-184
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• 2024

In the situation of increasing data at fast speed, we use all kinds of complex ensemble and deep learning algorithms to get the highest accuracy. It's sometimes questionable how these models predict, classify, recognize, and track unknown data. Accomplishing this technique and more has been and would be the goal of intensive research and development in the data science community. A variety of reasons, such as lack of data, imbalanced data, biased data can impact the decision rendered by the learning models. Many models are gaining traction for such interpretations. Now, LIME and SHAP are commonly used, in which are two state of the art open source explainable techniques. However, their outputs represent some different results. In this context, this study introduces a coupling technique of LIME and Shap, and demonstrates analysis possibilities on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence on the IEEE CIS dataset.

• Journal of Korean Society for Atmospheric Environment
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• v.22 no.E2
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• pp.57-68
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• 2006

Four intensive seasonal sampling campaigns between October 1998 and October 1999 were undertaken at an urban site of Chongju, in which polyurethane foam (PUF) sampler was used to collect particulate- and vapor-phase polycyclic aromatic hydrocarbons (PAHs). The contribution to total (particulate+vapor) PAH concentration by the vapor phase component exceeded the particulate phase contribution by factor of ${\sim}2.6$. Summed concentrations of phenanthrene (30.9%), pyrene (16.6%), naphthalene (11.3%) and fluoranthene (11.0%) account for significant amounts of the vapor-phase, while chrysene (12.5%), benzo[b]fluoranthene (11.6%), indeno[123-cd]pyrene (9.9%), benzo[ghi]perylene (9.5%), benzo[k]fluoranthene (9.4%), pyrene (8.9%), and benzo[a]pyrene (8.3%) are found to be the most common PAH compounds in the particulate phase. The results from application of principal component analysis to particulate-phase PAH data demonstrate that a combination of PAH and $PM_{2.5}$ inorganic data is a more powerful tracer of emission sources than PAH species data alone. Particulate-phase PAH species were found to be associated predominantly with emissions from diesel engine vehicles and incineration.

• Journal of Environmental Science International
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• v.17 no.3
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• pp.325-334
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• 2008

The feasibility of the automation of upper-air sounding is examined by using recent 3-year$(2002\sim2004)$ observation data from Autosonde at Haenam, Korea. The Autosonde has been successfully operated since 2002 in order to produce an intensive observation data at high-impact weather events for research purpose. It is found from the analysis of recent 3 years' operation data of the system that the system could be capable of making a stable observation when strong wind greater than 20 m/s was recorded under the influence of typhoons Rusa in 2002 and Maemi in 2003. It might be concluded that there is some possibility in automating upper-air sounding for operational purpose through the reduction of operator's payment and operating cost for upper-air sounding.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.1
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• pp.37-49
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• 2013

This paper investigates social networks of high technology firms, located in a newly developed industrial area, called 'Daedeok Technovalley' in Daejeon, Korea. While the Vally was developed as an extension of Daedeok Science Park in Daejeon, it host 400 or so technology-intensive firms. A questionnaire survey was conducted to collect data on the firms of the Vally, during January 2010, and obtained 201 completed questionnaires. Additional data, such as sales amount and employment, were collected to measure the changes of firm size. This research analysed these data to argue that the enterprises have established some networks with local institutions; however, the networks do not significantly affect on the growth of the firms.

• Journal of dental hygiene science
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• v.20 no.1
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• pp.1-8
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• 2020

Given that the demand for dental care for elderly individuals is expected to increase according to demographic changes, long-term roadmaps for the current health insurance system should be actively planned. The study aimed to investigate the health insurance system in Korea, compared to that of Japan, and suggest directions for the work of dental hygienists to provide basic data on efficient improvements in the health insurance system. Based on the collected data, the website was used to collect additional related data from Korea and Japan. The most common cause of death in Korea was malignant neoplasms, and most patients were hospitalized for diseases and disorders of the musculoskeletal system and connective tissue. Dental care covered by Korean medical insurance for individuals aged 65 years or older was treatment oriented, such as dentures and implants, while in Japan, treatment-intensive items, such as visiting a dental hygienist for guidance and provision of home-care professional oral hygiene treatment, were covered. The percentages of remaining teeth in Korea and the percentage of remaining 20 teeth were 68.9% in those aged 65 to 74 years and 51.2% in those aged 75 to 84 years in Japan. A strategy for promoting oral health among elderly individuals should be established, and a multilateral intervention approach is required to prevent oral problems from leading to deterioration of whole-body health. The role of dental hygienists in providing comprehensive assessment to elderly individuals is important. In order to provide systemic oral care, it is necessary to introduce oral care systems according to the national policy.

• Journal of Distribution Science
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• v.11 no.12
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• pp.39-49
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• 2013

Purpose - This study attempts to examine the underlying dimensions of service quality (tangibility, reliability, responsiveness, assurance, and empathy) for low-cost carriers. It subsequently seeks to determine the effect of the relationships of the dimensions of service quality, airline image, and behavioral intentions on airline services to provide adequate basic information and attributes for developing differentiated and competitive service marketing strategies. Research design, data, and methodology - The survey for this study was conducted on patrons with low-cost carrier boarding experiences in districts near universities and central businesses of Seoul and Busan from 5/10/2012 to 16/10/2012. Out of 346 questionnaires, 20 questionnaires with missing data and insincere answers were excluded for this study. Collected data were processed using SPSS 18.0, and the hypothesis was verified by analyzing the structural equation model with Lisrel 8.54. First, the frequency analysis was conducted to identify universal characteristics. Second, the exploratory factor analysis and reliability analysis were conducted to identify the accuracy of the variable measurements of the construct. Third, to assess uni-dimensionality and reliability, confirmatory factor analysis was conducted. Finally, to verify the adequacy of the research model and research hypothesis, the structural model was employed. Results - The results revealed that the factors, "tangibility, reliability, responsiveness, assurance, and empathy" were shown to be the most important dimensions of service quality for the airline image of the low-cost carrier which was consistent with previous studies. Therefore, it is fair to suggest that these verified factors are crucial attributes for the brand image of low-cost carriers. Second, as reliability and responsiveness were shown to be the most important factors for behavioral intentions, it is viable to suggest that these two attributes are crucial for the sales value of low-cost carriers. Further, it was found that the brand image of low-cost carriers was closely related to behavioral intentions. Therefore, in order to ensure the competitiveness and loyalty of patrons, the airline image value is a crucial attribute. Conclusions - The result of this study established that service quality is the most important attribute for marketing to ensure competitiveness, and intensive and differentiated service marketing play a crucial role in creating profits for low-cost carrier companies. First, as tangibility is found to be the most crucial factor in ensuring service quality, quality control and maintenance of medium and small carriers must be provided to ensure reliability, as they are the main attributes of low-cost carriers. Second, in order to promote positive behavioral intentions, it is essential to enhance the value of airline image. Third, in order to ensure competitiveness, it is imperative to carry out intensive and differentiated service marketing. Therefore, to promote the image of low-cost carriers and enhance behavioral intentions, the level of service quality must be secured by developing appropriate service improvement programs.

• Asian-Australasian Journal of Animal Sciences
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• v.1 no.3
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• pp.149-152
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• 1988

Postweaning performances of steer from 11 to 18 months of age under intensive feedlot condition were examined in Brahman and Santa Gertudis cattle breeds which have been established in Paraguay. Fitting of growth data in each breed to an empirical growth model with non-linear least square analysis resulted in the following age(t; months) - weight(w; kg) function made out each breed: w=638.26($1-2.341e^{-0.010965t}$) for Brahman and w=716.38($1-2.365e^{-0.10741t}$) for Santa Gertrudis. The estimated mature size of Brahman steers(638 kg) was 11% lower than that of Santa Gertrudis steers(716 kg). However, slightly larger k value (rate of maturing) of Brahman steer in the mechanistic model suggested relatively earlier maturing tendency in the breed. No significant differences in dressing percentage (Brahman, 59.3%; Santa Gertrudis, 58.8%) of chilled carcass weight to live-weight were observed between breed.

• Korean Journal of Agricultural Science
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• v.46 no.2
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• pp.381-393
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• 2019

A smart farm is a system that combines information and communication technology (ICT), internet of things (IoT), and agricultural technology that enable a farm to operate with minimal labor and to automatically control of a greenhouse environment. Machine learning based on recently data-driven techniques has emerged with big data technologies and high-performance computing to create opportunities to quantify data intensive processes in agricultural operational environments. This paper presents research on the application of machine learning technology to diagnose the growth status of crops and predicting the harvest time of strawberries in a greenhouse according to image processing techniques. To classify the growth stages of the strawberries, we used object inference and detection with machine learning model based on deep learning neural networks and TensorFlow. The classification accuracy was compared based on the training data volume and training epoch. As a result, it was able to classify with an accuracy of over 90% with 200 training images and 8,000 training steps. The detection and classification of the strawberry maturities could be identified with an accuracy of over 90% at the mature and over mature stages of the strawberries. Concurrently, the experimental results are promising, and they show that this approach can be applied to develop a machine learning model for predicting the strawberry harvesting time and can be used to provide key decision support information to both farmers and policy makers about optimal harvest times and harvest planning.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.995-1002
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• 2020

This paper investigates the achievable data rate for non-orthogonal multiple access(NOMA) with correlated information sources(CIS), under the binary phase shift keying(BPSK) modulation, in contrast to most of the existing NOMA designs using continuous Gaussian input modulations. First, the closed-form expression for the achievable data rate of NOMA with CIS and BPSK is derived, for both users. Then it is shown by numerical results that for the stronger channel user, the achievable data rate of CIS reduces, compared with that of independent information sources( IIS). We also demonstrate that for the weaker channel user, the achievable data rate of CIS increases, compared with that of IIS. In addition, the intensive analyses of the probability density function(PDF) of the observation and the inter-user interferennce(IUI) are provided to verify our theoretical results.