• Journal of the Society of Disaster Information
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• v.17 no.1
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• pp.176-183
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• 2021

Purpose: The introduction of smart factories that reflect the 4th industrial revolution technologies such as AI, IoT, and VR, has been actively promoted in Korea. However, in order to solve various problems arising from existing file-based operating systems, this research will focus on identifying and verifying non-file system-based data protection technology. Method: The research will measure security storage that cannot be identified or controlled by the operating system. How to activate secure storage based on the input of digital key values. Establish a control unit that provides input and output information based on BIOS activation. Observe non-file-type structure so that mapping behavior using second meta-data can be performed according to the activation of the secure storage. Result: First, the creation of non-file system-based secure storage's data input/output were found to match the hash function value of the sample data with the hash function value of the normal storage and data. Second, the data protection performance experiments in secure storage were compared to the hash function value of the original file with the hash function value of the secure storage after ransomware activity to verify data protection performance against malicious ransomware. Conclusion: Smart factory technology is a nationally promoted technology that is being introduced to the public and this research implemented and experimented on a new concept of data protection technology to protect crucial data within the information system. In order to protect sensitive data, implementation of non-file-type secure storage technology that is non-dependent on file system is highly recommended. This research has proven the security and safety of such technology and verified its purpose.

• Therapeutic Science for Rehabilitation
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• v.11 no.2
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• pp.25-37
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• 2022

Objective : Through the bibliographic analysis method, the flow of research is grasped from a macroscopic point of view and the connection system of key words is conducted. The purpose of this is to provide basic data for conducting research on aging anxiety and lifestyle. Methods : Among the bibliographic analysis methods, a citation analysis method that identifies the association based on the number of citations and a simultaneous appearance word analysis method that identifies the association based on the number of keywords appeared was used. VOSviewer was used to cluster and chart the analyzed information. Results : The frequency of occurrence of papers by year showed a gradual increase until 2017 and a rapid increase from 2018. In the field of research paper study, research was most actively conducted in the field of psychiatry. In the citation analysis, the United States, Australia, and the United Kingdom showed high correlation with each other, and as a result of conducting simultaneous word analysis on major keywords, words with high association with aging anxiety were found to be depression. Conclusion : This study is meaningful in that it grasped the flow of aging anxiety and lifestyle research from a macroscopic point of view using a bibliographic analysis method. Based on this, it is expected to understand the importance of lifestyle from the preventive point of view of aging and to be used as basic data for intervention and related education.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.4
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• pp.207-228
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• 2022

This study compared the behavior of using the reading room of the university library before and after COVID-19 and confirmed the changes and characteristics. As a subject of the study, 579,555 reading room usage data for the 2019-2021 school year, three years before and after the outbreak of COVID-19, were collected and analyzed for reading room utilization. In addition, the purpose of visiting the library was compared based on 120,090 data usage logs, and the relationship between the characteristics and usage rate of each reading room was analyzed. Ultimately, it is intended to suggest a way to increase utilization by reflecting the needs of users derived from changes in usage behavior during the COVID-19 period in the reading room space of the university library. It is hoped that the results of this research will be used as basic data for the operation of library reading rooms and the establishment of space reconstruction policies to cope with the New normal era after pandemic.

• Journal of Mushroom
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• v.20 no.4
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• pp.218-226
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• 2022

Flammulina velutipes, known as winter mushroom in the family of Physalacriaceae, is the main edible and export mushroom with the third highest production after oyster and king oyster mushroom in Korea. However, as normal consumers regard F. velutipes as a simple subsidiary material, there is a limitation to increasing mushroom demand. In order to overcome the consumption limit and increase the differentiation of new varieties, it is necessary to breed varieties with enhanced functionality in consideration of consumer preferences. Therefore, the study was performed to analyze nutrient components and several useful functional substances with 26 genetic resources of F. velutipes. Analyses of inorganic compound(Ca, K, Mg) and 15 amino acids revealed that Strain 4148 had the highest content among the 26 strains. Beta-glucan, which increases immune activity and polyphenol, which exert antioxidant effects were higher in non-white strains than in white strains with a small number of exceptions. Among the five fatty acids, linoleic acid(an omega-6 fatty acid) and α-linolenic acid(an omega-3 fatty acid), were detected in six mushroom strains. α-linolenic acid, which was not found in five major mushrooms including oyster mushrooms, was identified in F. velutipes. The results of HPLC analysis showed that 'Auram' (Strain 4232) and 'Baekseung'(Strain 4230) had the highest content of the stabilizing neurotransmitter GABA(15.38 ㎍/ml and 20.56 ㎍/ml, respectively) among non-white and white strains, respectively. Our findings provide useful information for breeding F. velutipes to obtain strains with enhanced functionality.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.33-44
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• 2021

This study was intended to suggest the future direction of catering companies in line with the new normal in the era of COVID-19. The purpose of this study is to investigate the effect of image and awareness of signs for safe restaurant on behavioral intentions. As a result of testing the hypothesis, first, it was found that the image of the sign for the safe restaurant had a significant effect on the recognition. Second, the image of the safe restaurant sign has a significant effect on trust. Third, it was found that the awareness of the signs for the safe restaurant had a significant effect on trust. Fourth, trust had a significant effect on behavior intention. Fifth, it was found that the image and awareness of the sign in the safe restaurant did not have a statistically significant effect on the behavioral intention. Sixth, it was found that the image of the sign at the safe restaurant and the awareness of the sign at the safe restaurant completely mediate trust and have a significant effect on the behavioral intention. The results of this study show the need for publicity activities to raise awareness of the safe restaurant certification and the importance of giving trust to consumers.

• Journal of Physiology & Pathology in Korean Medicine
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• v.36 no.5
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• pp.181-186
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• 2022

Atractylodes macrocephala (AM) and Amomum villosum (AV) are the most common herbs in Korean Medicine to treat digestive diseases. In this study, we investigated the cholesterol lowering effects of mixtures of AM and AV extracts on high cholesterol diet (HCD) induced dyslipidemia mouse model. We classified animals into six different groups; Group 1: Normal diet, Group 2: HCD, Group 3: AV extracts : AM extracts (1:1) (200 mg/kg) + HCD, Group 4: AV extracts : AM extracts (1:2) (200 mg/kg) + HCD, Group 5: AV extracts : AM extracts (1:3) (200 mg/kg) + HCD, Group 6: Simvastatin 40 mg/kg + HCD. After 4 weeks of oral administration of respective drugs, we checked body, liver and epididymal fatweights along with liver and serum triacylglyceride (TG) concentration, total and low density lipoprotein (LDL) cholesterol in serum. Moreover, 3-hydroxy-3-methylglutaryl-CoA (HMG-CoA) reductase (HMGCR), LDL receptor (LDLR), and sterol regulatory element-binding protein 2 (SREBP2) were detected by RT PCR or western blot analysis. The overall results showed that mixtures of AM and AV extracts inhibited HCD-induced increases of total cholesterol and LDL cholesterol in serum. Those effects seem to be caused by AM and AV extracts through inhibition of HMGCR expression. And thus blood cholesterol is induced into the liver by increasing LDLR expression, which is regulated by SREBP2 transcrption factor. The cholesterol lowering effects and mechanism of mixtures of AM and AV extracts was similar to the statin. We have identified the potential mixtures of AM and AV extracts as a new treatment for dyslipidemia.

• Korean Journal of Clinical Laboratory Science
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• v.54 no.4
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• pp.249-255
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• 2022

Alzheimer's disease (AD) represents a major public health concern and has been identified as a research priority. Clinical research evidence supports that the core cerebrospinal fluid (CSF) biomarkers for AD, including amyloid-β (Aβ42), total tau (T-tau), and phosphorylated tau (P-tau), reflect key elements of AD pathophysiology. Nevertheless, advances in the clinical identification of new indicators will be critical not only for the discovery of sensitive, specific, and reliable biomarkers of preclinical AD pathology, but also for the development of tests that facilitate the early detection and differential diagnosis of dementia and disease progression monitoring. The early detection of AD in its presymptomatic stages would represent a great opportunity for earlier therapeutic intervention. The chance of successful treatment would be increased since interventions would be performed before extensive synaptic damage and neuronal loss would have occurred. In this study, the importance of developing an early diagnostic method using cognitive decline biomarkers that can discriminate between normal, mild cognitive impairment (MCI), and AD preclinical stages has been emphasized.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.8
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• pp.355-364
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• 2023

As advanced cyber threats continue to increase in recent years, it is difficult to detect new types of cyber attacks with existing pattern or signature-based intrusion detection method. Therefore, research on anomaly detection methods using data learning-based artificial intelligence technology is increasing. In addition, supervised learning-based anomaly detection methods are difficult to use in real environments because they require sufficient labeled data for learning. Research on an unsupervised learning-based method that learns from normal data and detects an anomaly by finding a pattern in the data itself has been actively conducted. Therefore, this study aims to extract a latent vector that preserves useful sequence information from sequence log data and develop an anomaly detection learning model using the extracted latent vector. Word2Vec was used to create a dense vector representation corresponding to the characteristics of each sequence, and an unsupervised autoencoder was developed to extract latent vectors from sequence data expressed as dense vectors. The developed autoencoder model is a recurrent neural network GRU (Gated Recurrent Unit) based denoising autoencoder suitable for sequence data, a one-dimensional convolutional neural network-based autoencoder to solve the limited short-term memory problem that GRU can have, and an autoencoder combining GRU and one-dimensional convolution was used. The data used in the experiment is time-series-based NGIDS (Next Generation IDS Dataset) data, and as a result of the experiment, an autoencoder that combines GRU and one-dimensional convolution is better than a model using a GRU-based autoencoder or a one-dimensional convolution-based autoencoder. It was efficient in terms of learning time for extracting useful latent patterns from training data, and showed stable performance with smaller fluctuations in anomaly detection performance.

• The Korea Journal of Herbology
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• v.24 no.4
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• pp.197-204
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• 2009

Objectives : This study was conducted to investigate the effect of HT008, a multi-herbal mixture consisting of 3 herbs, Eleutherococcus senticosus, Angelica sinensis, and Scutellaria baicaleinsis on arthritic model in rats. Methods : The anti-inflammatory and analgesic activities were observed by utilizing the following models: carrageenan-induced edema of the hind paw of rats, acetic acid-induced writhing response in mice. The perimeter of the paw was measured before injection and then at 1, 2, 4, 6 h after injection of 1% $\lambda$-carrageenan. The HT008 at five dose levels (10, 30, 100, and 300 mg/kg) and distilled water given 30 min to treatment groups and control group, before $\lambda$-carrageenan injection. In the writhing test, the mice received 0.7% acetic acid solution in normal saline injected intraperitoneally at a dose of 10 ml/kg. The number of writhes was counted staring 10 min after injection. Results : HT008 at four dose levels (30, 100, and 300 mg/kg) significantly decreased the carrageenan-induced rat paw edema perimeter. E. senticosus and S. baicaleinsis extracts reduced acetic acid-induced writhing response in mice. Also A. sinensis extracts significantly decreased the carrageenan-induced rat paw edema perimeter. Conclusions : These results show that HT008, a multi-herbal mixture has both anti-inflammatory activity and analgesic effects in vivo arthritic model, and suggest that HT008 could be a good therapy to treat human osteoarthritis.

• Journal of Life Science
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• v.33 no.6
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• pp.512-522
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• 2023

Cancer with unlimited cell growth is a leading cause of death globally. Various cancer treatments, including surgery, chemotherapy, radiation therapy, immunotherapy, and targeted therapy, can be applied alone or in combination depending on the cancer type and stage. New treatments with fewer side effects than previous cancer treatments are continually under development and in demand. Undifferentiated stem cells with unlimited cell growth are gradually changed via cellular differentiation to arrest cell growth. In this study, we reviewed the possibility of treating cancer by using cellular differentiation into the adipocytes in cancer cells. In previous in vitro studies, oral antidiabetic drugs of the thiazolidinedione (TDZ) class, such as rosiglitazone and pioglitazone, were induced into the adipocytes in various cancer cell lines via increased peroxisome proliferator-activated receptor-γ (PPAR γ) expression and glucose uptake, which is the key regulator of adipogenesis and the energy metabolism pathway. The differentiated adipogenic cancer cells treated with TDZ inhibited cell growth and had a less cellulotoxic effect. This adipogenic differentiation treatment suggests a possible chemotherapy option in cancer cells with high and abnormal glucose metabolism levels. However, the effects of the in vivo adipogenic differentiation treatment need to be thoroughly investigated in different types of stem and normal cells with other side effects.