• Journal of Digital Convergence
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• v.15 no.2
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• pp.295-300
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• 2017

The study evaluates exploration of social robot's role which can emotionally communicate with human as an alternative to heal psychological isolation for single-person households. At first, I conduct a study on literatured to understand the definition and characteristics of social robot then analyze the current situation and future prospects. Based on this, I organized the requirements of social robot in aspect of user experience through in-depth interview of twenties single-person households living in the metropolitan area who could be potential customers. As a result every subject require social robot specialized to them through accumulated interaction. On the other hand, degree of attachment with social robot is different from subjects. Hear by I realize every subject require social robot to different and various functions according to their lifestyle and personality. Therefore I could draw conclusions and implications from this study that technical development in aspect of personalized user experience is necessary for social robot to settle in to human's life in the future.

• Advanced Industrial SCIence
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• v.2 no.3
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• pp.29-36
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• 2023

The purpose of this study is to present basic data for hair color work plans that can consistently produce hair color design products for designers through analysis of gradient techniques among hair color design techniques. The research method was to select 10 photos of women that appeared in mass media from 2022 to September 15, 2023, extract color chips and RGB values using the Eyedropper Tool in Adobe Photoshop CS6, and convert the RGB values of the color chips into Munsell Conversion ( The data was converted into HV/C values of version 12.1.13a). Based on the extracted data, the gradient hair colors of female pop stars were analyzed by displaying the data on a color scale. As a result, in the I.R.I color scheme image scale, the image of female pop stars was more hard than soft. In addition, it was confirmed that the focus was on static rather than dynamic. Color matching images according to hair color were extracted with adjectives such as noble, decent, elegant, and subtle. Three hairstyles were created using this theme.

• Archives of Metallurgy and Materials
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• v.64 no.3
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• pp.907-911
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• 2019

Effects of various friction stir processing (FSP) variables on the microstructural evolution and microhardness of the AZ31 magnesium alloy were investigated. The processing variables include rotational and travelling speed of the tool, kind of second phase (i.e., diamond, Al₂O₃, and ZrO₂) and groove depth (i.e., volume fraction of second phase). Grain size, distribution of second phase particle, grain texture, and microhardness were analyzed as a function of the FSP process variables. The FSPed AZ31 composites fabricated with a high heat input condition showed the better dispersion of particle without macro defect. For all composite specimens, the grain size decreased and the microhardness increased regardless of the grooved depth compared with that of the FSPed AZ31 without strengthening particle, respectively. For the AZ31/diamond composite having a grain size of about 1 ㎛, microhardness (i.e., about 108 Hv) was about two times higher than that of the matrix alloy (i.e., about 52 Hv). The effect of second phase particle on retardation of grain growth and resulting hardness increase was discussed.

• Journal of Ginseng Research
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• v.44 no.6
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• pp.790-798
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• 2020

Background: Beneficial effects of Korean Red Ginseng (KRG) on polycystic ovarian syndrome (PCOS) remains unclear. Methods: We examined whether pretreatment (daily from 2 hours before PCOS induction) with KRG extract in water (KRGE; 75 and 150 mg/kg/day, p.o.) could exert a favorable effect in a dehydroepian-drosterone (DHEA)-induced PCOS rat model. Results: Pretreatment with KRGE significantly inhibited the elevation of body and ovary weights, the increase in number and size of ovarian cysts, and the elevation of serum testosterone and estradiol levels induced by DHEA. Pretreatment with KRGE also inhibited macrophage infiltration and enhanced mRNA expression levels of chemokines [interleukin (IL)-8, monocyte chemoattractant protein-1), proinflammatory cytokines (IL-1β, IL-6), and inducible nitric oxide synthase in ovaries induced by DHEA. It also prevented the reduction in mRNA expression of growth factors (epidermal growth factor, transforming growth factor-beta (EGF, TGF-β)) related to inhibition of the nuclear factor kappa-light-chain-enhancer of activated B cell pathway and stimulation of the nuclear factor erythroid-derived 2-related factor 2 pathway. Interestingly, KRGE or representative ginsenosides (Rb1, Rg1, and Rg3(s)) inhibited the activity of inflammatory enzymes cyclooxygenase-2 and iNOS, cytosolic p-IκB, and nuclear p-nuclear factor kappa-light-chain-enhancer of activated B in lipopolysaccharide-induced RAW264.7 cells, whereas they increased nuclear factor erythroid-derived 2-related factor 2 nuclear translocation. Conclusion: These results provide that KRGE could prevent DHEA-induced PCOS via antiinflammatory and antioxidant activities. Thus, KRGE may be used in preventive and therapeutic strategies for PCOS-like symptoms.

• Journal of Korean Dental Hygiene Science
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• v.7 no.1
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• pp.29-37
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• 2024

Background: This study investigatedthe factors influencing the degree of education in the Department of Dental Hygiene at K University on the degree of education required for a convergence major related to the medical device industry. Methods: For 5 days from December 5, 2023, 257 students of the Department of Dental Hygiene at a university in Wonju Citywere surveyed, and an online survey was conducted. General characteristics, school satisfaction, satisfaction with majors, perceptions of multi-majors in universities, and the degree of demand for a convergence major related to the medical device industry were examined. Since normality was not satisfied, non-parametric analysis was performed. To confirm the differences in convergence major related to medical device industry education needs according to general characteristics, the Mann-Whitney U test and Kruskal-Wallis test were performed. Post-hoc analysis was performed, and the median, minimum, and maximum values were presented. Multiple regression analysis was performed to confirm the effect on the demand for a convergence major related to the medical device industry, and the statistical significance probability was set at 0.05. Results: As a result of examining the factors affecting the demand for a convergence major related to the medical device industry, it was found that the more experience one has in completing a double major in college (p<0.05) and the higher the degree of satisfaction with the major (p<0.05), the statistically significant need for an interdisciplinary major was higher(p<0.05).

• Bulletin of the Korean Chemical Society
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• v.34 no.3
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• pp.856-862
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• 2013

The photoanode electrode of $TiO_2$ nanotubes (NTs) anchored with ZnS/CdSSe/CdS quantum dots (QDs) was prepared by anodization of Ti metal and successive ionic layer adsorption and reaction (SILAR) procedure. The tuning of the band gap of CdSSe was done with controlled composition of Cd, S, or Se during the SILAR. A ladder-like energy structure suitable for carrier transfer was attained with the photoanode electrode. The power conversion efficiency (PCE) of our solar cell fabricated with the regular array of $TiO_2$ NTs anchored with CdSSe/CdS or CdSe/CdS QDs [i.e., (CdSSe/CdS/$TiO_2NTs$) or (CdSe/CdS/$TiO_2NTs$)] was PCE = 3.49% and 2.81% under the illumination at 100 mW/$cm^2$, respectively. To protect the photocorrosion of our solar cell from the electrolyte and to suppress carrier recombination, ZnS was introduced onto CdSSe/CdS. The PCE of our solar cell with the structure of a photoanode electrode, (ZnS/CdSSe/CdS/$TiO_2$ NTs/Ti) was 4.67% under illumination at 100 mW/$cm^2$.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.303-308
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• 2014

In this paper, a ferrite sheet at the back of the smartphone by type, pattern, stars, the thickness of the recognition distance by attaching the NFC optimum ferrite sheet simulation was designed. Characterized by patterns rather than the Full-type I-type communication distance of about 1 ~ 2mm more extended. Ferrite sheet metal by applying the NFC antenna is effective in improving the characteristics were confirmed. In the case of the pattern C, the permeability is 140, a thickness of 0.1mm, Full-type ferrite sheet when applied to NFC communication distance than normal electromagnetic absorber is increased from 45 to 59 was confirmed that.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.3
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• pp.501-507
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• 1999

At the mobile unit for adaptation the propagation environment, it is necessity to adapt very fast the weight coefficient vector of adaptive array antenna In this paper, for the BPSK and BFSK signals with S/I=2, S/N=10 subband adaptive array signal processing method to the linear array antenna using the LMS & the Kalman filter algorithm is proposed. For the 4 elements equidistance linear array antenna systems LMS and Kalman algorithms with subband adaptive instruction principles using the subband signal processing method are adopted and the computer simulation results to the constant amplitude envelope signals such as BPSK or BFSK can be seen that the convergence characteristics of directional patterns and the signal following characteristics are more fast and stable.

• Journal of Industrial Convergence
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• v.3 no.2
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• pp.51-71
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• 2005

As the living standards have been enhanced thanks to rapid to rapid economic growth following industrial progress, today the advancement of woman into specialized jobs keep expanding not only for economic purpose such as increasing family income but also due to changed perception on woman's role, i.e. self-realization. In the actual situations, however, women are generally placed in a inferior position compared with men in most jobs, despite existence of gender equality policy. Therefore, concern and study on female adaptation into job and their work attitude have become increasingly important, which can contribute to alleviating women's discontent in the work but to raising efficiency of job execution and improving work quality. In this treatise, I researched the job attitude of woman for the period of 1980 up to 2005, with interval of every 5 years. For empirical analysis, research has been done towards females teachers in elementary and middle schools as well as female works in financial institutions. Both job fields have comparatively high percentage of female employees and have less sexual discrimination. The purpose of this vertical research is (1) to find out how women workers perceive their job environment, (2) to analyze empirically the change in female job attitude and their flow of consciousness. Ultimately this treatise aimed at contributing to efficient management of female work force in our society.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.8-17
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• 2019

The main purpose of this study isto explore the potential of affective computing (AC) platforms in education through two phases ofresearch: Phase I - platform analysis and Phase II - classification of academic emotions. In Phase I, the results indicate that the existing affective analysis platforms can be largely classified into four types according to the emotion detecting methods: (a) facial expression-based platforms, (b) biometric-based platforms, (c) text/verbal tone-based platforms, and (c) mixed methods platforms. In Phase II, we conducted an in-depth analysis of the emotional experience that a learner encounters in online video-based learning in order to establish the basis for a new classification system of online learner's emotions. Overall, positive emotions were shown more frequently and longer than negative emotions. We categorized positive emotions into three groups based on the facial expression data: (a) confidence; (b) excitement, enjoyment, and pleasure; and (c) aspiration, enthusiasm, and expectation. The same method was used to categorize negative emotions into four groups: (a) fear and anxiety, (b) embarrassment and shame, (c) frustration and alienation, and (d) boredom. Drawn from the results, we proposed a new classification scheme that can be used to measure and analyze how learners in online learning environments experience various positive and negative emotions with the indicators of facial expressions.