• The Journal of Korean Institute of Information Technology
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• v.16 no.11
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• pp.105-113
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• 2018

In this paper, we proposed a method for effective classification of eye, nose, and mouth of human face. Most recent image classification uses Convolutional Neural Network(CNN). However, the features extracted by CNN are not sufficient and the classification effect is not too high. We proposed a new algorithm to improve the classification effect. The proposed method can be roughly divided into three parts. First, the Haar feature extraction algorithm is used to construct the eye, nose, and mouth dataset of face. The second, the model extracts CNN features of image using AlexNet. Finally, Haar-CNN features are extracted by performing convolution after Haar feature extraction. After that, CNN features and Haar-CNN features are fused and classify images using softmax. Recognition rate using mixed features could be increased about 4% than CNN feature. Experiments have demonstrated the performance of the proposed algorithm.

• The Korean Journal of Food And Nutrition
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• v.31 no.6
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• pp.949-956
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• 2018

This study investigated chemical components, antioxidant compounds, and activity of brown rice cultivars, to select good cultivar to be used for processing of mixed-rice in the food industry. Proximate compositions, phytic acid, phenolic compounds, and antioxidant activity of brown rice were significantly different among cultivars. Moisture, crude ash, fat, protein, and carbohydrate contents of brown rice were 9.51~12.82, 1.05~1.93, 1.84~6.24, 5.90~9.60 and 71.75~80.34 g/100 g, respectively. Phytic acid content of brown rice cultivars was 7.39~0.87 mg/g. Total polyphenol content of Joeunheukmi and Geonganghongmi cultivars, were 615.25 and $311.14{\mu}g\;GAE/g$, total flavonoid content was 267.75 and $100.67{\mu}g\;CE/g$, respectively. DPPH radical scavenging activity of Geonganghongmi, Joeunheukmi and Hyeugkwang cultivars was 89.17, 87.94 and 43.17%, ABTS radical scavenging activity was 113.57, 113.34, and $93.53{\mu}mol\;TE/g$, and ferric reducing antioxidant potential was 951.67, 1,075.75, and $508.33{\mu}M/g$, respectively. As a result, phenolic compounds and antioxidant activities of pigmented brown rice were high, and it could be used as a functional material.

• Journal of Applied Biological Chemistry
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• v.63 no.4
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• pp.451-455
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• 2020

Testosterone deficiency syndrome (TDS), also known as late-onset hypogonadism, is a clinical and biochemical syndrome associated with advanced age and characterized by deficient serum testosterone levels. The Elaeagnus multiflora fruit (EMF) and Cynanchum wilfordii (CW) have been used in traditional herbal medicine. This study aimed to investigate the therapeutic effects of EMF and CW mixtures (at the ratios of 3:7, 5:5, and 7:3) on TDS using TM3 cells and aging male rats. EMF, and mixtures of EMF and CW (at the ratios of 3:7, 5:5, and 7:3) significantly increased testosterone levels in TM3 cells (p <0.05). The rats were orally administered EMCW (EMF and CW mixed at the ratio of 3:7 50, 100 and 200 mg/kg/day) for 4 weeks consecutively. After 4 weeks of EMCW administration, latency time on the rotarod test, and serum testosterone and dehydroepiandrosterone sulfate levels were significantly increased (p <0.05 and p <0.01). Moreover, the levels of globulin-bound sex hormones were decreased in the EMCW-fed groups. However, prostate-specific antigen levels did not differ among the groups. These results suggest that EMCW can be effectively used to alleviate TDS.

• The Journal of Information Systems
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• v.30 no.2
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• pp.29-56
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• 2021

Purpose Cyber deviance of adolescents has become a serious social problem. With a widespread use of smartphones, incidents of cyber deviance have increased in Korea and both quantitative and qualitative damages such as suicide and depression are increasing. Research has been conducted to understand diverse factors that explain adolescents' delinquency in cyber space. However, most previous studies have focused on a single theory or perspective. Therefore, this study aims to comprehensively analyze motivations of juvenile cyber deviance and to develop a predictive model for delinquent adolescents by integrating four different theories on cyber deviance. Design/methodology/approach By using data from Korean Children & Youth Panel Survey 2010, this study extracts 27 potential factors for cyber deivance based on four background theories including general strain, social learning, social bonding, and routine activity theories. Then this study employs econometric analysis to empirically assess the impact of potential factors and utilizes a machine learning approach to predict the likelihood of cyber deviance by adolescents. Findings This study found that general strain factors as well as social learning factors have positive effects on cyber deviance. Routine activity-related factors such as real-life delinquent behaviors and online activities also positively influence the likelihood of cyber diviance. On the other hand, social bonding factors such as community commitment and attachment to community lessen the likelihood of cyber deviance while social factors related to school activities are found to have positive impacts on cyber deviance. This study also found a predictive model using a deep learning algorithm indicates the highest prediction performance. This study contributes to the prevention of cyber deviance of teenagers in practice by understanding motivations for adolescents' delinquency and predicting potential cyber deviants.

• Journal of Microbiology and Biotechnology
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• v.32 no.4
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• pp.473-483
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• 2022

In this study we investigated the effect of lactic acid bacteria (LAB) fermentation on the ingredients and anti-oxidant activity of Withania somnifera extract. Four strains of LAB could proliferate normally in medium containing W. somnifera extract after the pH reached 3.1~3.5. LAB fermentation increased the content of alcohols and ketones, endowing the extract with the characteristic aroma of fermentation. Compared to the control, the DPPH and ABTS free radical scavenging rates in the fermented samples were significantly improved, ranging from 48.5% to 59.6% and 1.2% to 6.4%. The content of total phenols was significantly increased by 36.1% during the fermentation of mixed bacteria. Moreover, the original composition spectrum of the extract was significantly changed while the differentially accumulated metabolites (DAMs) were closely related to bile secretion, tryptophan metabolism and purine metabolism. Therefore, LAB fermentation can be used as a promising way to improve the flavor and bioactivity of the extracts of W. somnifera, making the ferments more attractive for use as functional food.

• Journal of the Korean Applied Science and Technology
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• v.39 no.4
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• pp.517-526
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• 2022

The purpose of this study was to enhance the gamma-aminobutyric acid (GABA) production of sea tangle extracts, through techniques based on enzymatic hydrolysis and the addition of mixed fermentative lactic acid bacteria. GABA production in the strains was qualitatively confirmed via detection of colored spots using thin layer chromatography. L. plantarum KCTC 21004, L. acidophilus KCTC 3164 and L. sakei subsp. sakei KCTC 3598 were selected as the suitable strains for GABA production. As for the characteristics of fermentation of lactic acid bacteria using the selected strain, as the fermentation time increased, the titrated acidity increased and the pH showed a tendency to decrease. Among the three strains with excellent GABA production ability, L. plantarum KCTC 21004 showed excellent GABA production of 136.4 mg/100g. These research results are expected to be provided a basis for the utilization of lactic acid bacteria in GABA production using a sea tangle extract.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.2-5
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• 2022

With the advent of deep learning and the rapid development of ICT (Information and Communication Technology), research using artificial intelligence is being actively conducted in various fields of society such as politics, economy, and culture and so on. Deep learning-based artificial intelligence technology is subdivided into various domains such as natural language processing, image processing, speech processing, and recommendation system. In particular, as the industry is advanced, the need for a recommendation system that analyzes market trends and individual characteristics and recommends them to consumers is increasingly required. In line with these technological developments, this paper extracts and classifies attribute information from structured or unstructured text and image big data through deep learning-based technology development of 'language processing intelligence' and 'image processing intelligence', and We propose an artificial intelligence-based 'customized fashion advisor' service integration system that analyzes trends and new materials, discovers 'market-consumer' insights through consumer taste analysis, and can recommend style, virtual fitting, and design support.

• Journal of Dairy Science and Biotechnology
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• v.41 no.3
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• pp.113-125
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• 2023

In this study, we explored the synergistic effects of whey protein concentrate (WPC) and soybean protein components after fermentation with lactic acid bacteria isolated from kimchi, and identified several peptides with desirable physiological functions, proteolysis, and immune effects. Antioxidant activity was determined using 2,2'-azino-bis-3-ethylbenzothiazoline-6-sulphonic acid, 1,1-diphenyl-2-picrylhydrazyl, ferric-reducing antioxidant power, and hydroxyl radical scavenging assays, followed by cross-validation of the four antioxidant activities. These assays revealed that samples with a 8:2 and 9:1 whey to soy ratio possessed higher antioxidant activity than the control samples. Antibacterial potency testing revealed high antibacterial activity in the 9:1 and 8:2 samples. Cytotoxicity testing of samples using 3-(4, 5-dimethyl thiazol-2-yl)-2, 5-diphenyl tetrazolium bromide revealed that only the 10:0, 1:9, and 0:10 samples had <80% viable cells, indicating no significant cytotoxicity. Nitric oxide (NO) assays revealed that NO expression was reduced in 8:2, 5:5, and 0:10 protein ratio fermentations, indicating low inflammatory reaction stimulatory potential. Cytokine expression was confirmed using an enzyme-linked immunosorbent assay kit. The 8:2 sample had the lowest inflammatory cytokine (interleukin [IL]-1α, IL-6, and tumor necrosis factor-α) levels compared with the lipopolysaccharide-treated group. Amino acid profiling of the 8:2 sample identified 17 amino acids. These results suggest that inoculating and fermenting Lactobacillus plantarum DK203 and Lactobacillus paracasei DK209 with an 8:2 mixture of WPC and soybean protein releases bioactive peptides with excellent anti-inflammatory and antioxidant properties, making them suitable for functional food development.

• Herbal Formula Science
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• v.32 no.2
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• pp.121-128
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• 2024

Objectives : This study aimed to investigate the protective effects of mixed extracts from Scutellaria baicalensis Georgi, Alisma orientale Juzepzuk, and Atractylodes japonica Koidzumi on interleukin (IL)-6-induced damage to tight junction (TJ) integrity in a Caco-2 cell model. Methods : We assessed the TJ integrity of Caco-2 monolayers by measuring the flux of FITC-labeled dextran and transepithelial electrical resistance (TEER). Additionally, we evaluated the expression of TJ proteins, such as ZO-1 and Occludin. Results : Treatment with IL-6 (50 ng/ml) increased TJ permeability and decreased TEER values of Caco-2 monolayers. Pretreatment with HTB (50-200 ㎍/ml) for 1 h significantly alleviated IL-6-induced TJ disruption, as evidenced by reduced TJ permeability and increased TEER values. Furthermore, HTB reversed the IL-6-induced inhibition of TJ protein expression, including ZO-1 and Occludin. Conclusions : These findings indicate that HTB protects barrier function by reversing the IL-6-induced decrease in TJ integrity and the suppression of TJ protein expression.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.2
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• pp.166-175
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• 2014

This study was conducted to investigate the hepatoprotective effects of fermented Smilax china leaf ethylacetate extracts by Aspergillus oryzae on carbon tetrachloride-induced liver injury in mice. Experimental mice were divided into four groups (five mice/group) (NC; normal control group, CB; basic diet supplemented before $CCl_4$ treatment group, NS ; basic diet mixed with 0.5% Smilax china leaf ethyl acetate extract supplemented before $CCl_4$ treatment group, FS; basic diet mixed with 0.5% fermented Smilax china leaf ethyl acetate extract supplemented before $CCl_4$ treatment group) fed for 4 weeks each. In the $CCl_4$-treated groups (CB, NS and FS) compared with the NC group, liver weights, activities of alanine aminotransferase, aspartate aminotransferase, xanthine oxidase and aldehyde oxidase, contents of triglycerides, total cholesterol and LDL-cholesterol in serum, and hepatic lipid peroxide levels increased, whereas body weight gain and contents of glutathione and HDL-cholesterol decreased. Furthermore, in the FS groups compared with the NS and CB groups, increased or decreased indicators by $CCl_4$ treatment significantly decreased or increased, respectively. This study suggests that fermented Smilax china L. leaf extracts may regulate xanthine oxidase and aldehyde oxidase inhibitory activities and hepatoprotective effects due to flavonoid aglycone derived from its glycoside in leaves of Smilax china by fermentation of A. oryzae.