• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.247-258
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• 2023

Purpose : This study aims to evaluate the effectiveness of a sea breeze walking program by analyzing the metabolic disease-related, immune-inflammation-related, and respiratory health-related variables of the test subjects associated with improved respiratory health. Methods : In the experiment, 30 patients with metabolic diseases were divided into an experimental group (n=15) and a control group (n=15). The experimental group walked on the Namparang-gil, Geoje trail, while the control group walked on the Hoeya-cheon, Yangsan trail. Both groups participated in the same walking program for two hours, twice a week for four weeks. Thereafter, the metabolic disease-related, immune inflammation-related, and respiratory health-related variables were measured and compared between the two groups. Results : After the four-week sea breeze walking program, in terms of changes in the metabolic disease-related variable, a statistically significant interactive effect was found in waist circumference (p<.001). The experimental group showed a significant decrease in waist circumference after the program. After the four-week sea breeze walking program, the control group showed a statistically higher increase in lactic acid (p.<05), whereas the experimental group exhibited a decrease in lactic acid. For the respiratory health-related variables, no statistically significant differences were found after the sea breeze walking program. However, the experimental group showed an increase in FEV1,while the control group showed a decrease in FEV1. For the maximum oxygen intake, no statistically significant interactive differences were found but there was a statistically significant effect in time (p<.05). The two groups exhibited an increase in maximum oxygen intake. Conclusion : After the sea breeze walking program, positive physical changes were observed in the metabolic disease-related and immune inflammation-related variables.

• Tribology and Lubricants
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• v.39 no.5
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• pp.167-172
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• 2023

Titanium alloys are widely recognized among engineering materials owing to their impressive mechanical properties, including high strength-to-weight ratios, fracture toughness, resistance to fatigue, and corrosion resistance. Consequently, applications involving titanium alloys are more susceptible to damage from unforeseen events, such as scratches. Nevertheless, the impact of microscopic damage remains an area that requires further investigation. This study delves into the microscopic wear behavior of α-titanium crystal structures when subjected to linear scratch-induced damage conditions, utilizing molecular dynamics simulations as the primary methodology. The configuration of crystal lattice structures plays a crucial role in influencing material properties such as slip, which pertains to the movement of dislocations within the crystal structure. The molecular dynamics technique surpasses the constraints of observing microscopic phenomena over brief intervals, such as sub-nano- or pico-second intervals. First, we demonstrate the localized transformation of lattice structures at the end of initialization, indentation, and wear processes. In addition, we obtain the exerted force on a rigid sphere during scratching under linear movement. Furthermore, we investigate the effect of the relaxation period between indentation and scratch deformation. Finally, we conduct a comparison study of nanoindentation between crystal and amorphous Ti substrates. Thus, this study reveals the underlying physics of the microscopic transformation of the α-titanium crystal structure under wear-like accidental events.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.3
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• pp.351-361
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• 2021

This study proposes an intelligent control of manufacturing robot with dual arm based on neural network for smart factory implementation. In the control method of robot system, the perspectron structure of single layer based on neural network is useful for simple computation. However, the limitations of computation are emerging in areas that require complex computations. To overcome limitation of complex parameters computation a new intelligent control technology is proposed in this study. The performance is illustrated by simulation and experiments for manufacturing robot dual arm robot with eight axes.

• Journal of agriculture & life science
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• v.50 no.4
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• pp.169-177
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• 2016

This study was carried out to compare microbiological and hygienic quality characteristics of the products reached expiration date among meat products distributing in markets. A total of 20 meat products(6 hams, 3 bacons and 11 sausages) were examined for analyses of pH, Aw, TBARS, VBN, total aerobic microbial counts, and meat colors. The pH values of samples were between 5.33 and 6.59. The water activity (Aw) of samples ranged 0.90-0.93. TBARS and VBN values of samples were 0.11-0.59 and 2.37~14.75, respectively. The contaminated levels of total aerobic bacteria were less than 2.80 CFU/g. In meat color, L*, a*, and b* values of samples were in the range of 56-72, 5.2-34 and 0.7-16, respectively. It is suggested that the quality difference of meat products is attributed to the different additives and manufacturing processes. Therefore, we suggest that the results of this study are not only applied for evaluation of the microbiological and hygienic safety but also served as fundamental information for re-establishing the shelf-life of meat products.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.635-636
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• 2014

최근 몇 년간 전세계적으로 모바일 기기의 사용이 급속도로 증가되고 있다. 이는 모바일 App 기반으로 하는 전자상거래 형태의 다양한 변화와 웹과 같은 영향력 있는 모바일 앱 스토어의 성장에 영향을 주었다. 그러나, 수많은 App스토어에 존재하고 있는 애플리케이션은 간편한 추천방법으로 사용자에게 뷰 정보를 제공하여 다수의 사용자는 원하는 아이템을 찾는데 많은 시간과 노력을 기울여야 한다. 이에 본 논문에서는 재능마켓으로 "재능쇼핑"을 위해 집단지성을 기반으로 하는 재능추천 시스템을 제안한다. 이는 집단 지성을 기반으로 사용자의 선호도 정보와 재능정보를 분석 평가하여 구매자에게 재능쇼핑에 대한 아이템을 자동 추천하도록 설계 구현하였다. 따라서 본 논문에서 제안한 시스템은 소비자에게는 맞춤형 구매정보 제공을 가능하게 하며, 오픈 마켓 관리자에게는 구매자의 니즈에 대한 자동분석과 사용자 구매 효율성의 증진이 향상될 것으로 기대한다.

• 한국벤처창업학회:학술대회논문집
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• 2019.04a
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• pp.37-43
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• 2019

본 연구에서는 귀농 귀촌인들이 성공적인 정착을 할 수 있는 계기를 마련하고자 '소셜미디어' 활용 사례를 연구하였다. 연구를 위해 귀농 귀촌 현상을 살펴보고 소셜미디어의 중요성을 알아보았다. 귀농 귀촌인 대상을 선정하여 인터뷰를 진행하였으며 필립코틀러의 마켓4.0의 5가지 마켓경로(인지, 호감, 질문, 행동, 옹호)와의 연관성을 사례분석을 통해 살펴보았다. 연구결과로 첫째, 귀농 귀촌인이 직접 재배하는 친환경 농산물을 성공적으로 판매할 수 있었던 주요 원인은 다음과 같다. 첫째, 소셜미디어를 적극적으로 활용했다. 둘째, 계절마다 농산물을 재배하고 수확하는 과정을 체험할 수 있는 프로그램을 운영하여 농산물에 대한 만족도를 높였다. 셋째, 현장체험 및 농산물의 사용 후기, 가격 등을 다양한 채널에서 검색을 가능하게 했으며 각 채널마다 고객과의 소통을 원활하게 했다. 넷째, 소셜미디어 운영에 있어 지속적으로 새로운 콘텐츠를 노출하여 연속적인 구매활동을 유도했다. 다섯째, 구매 후기를 활용하여 재구매를 유도했다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.325-327
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• 2021

본 연구에서는 대학생의 자아존중감, 전공만족도, 외모만족도, 취업스트레스의 관계를 확인하고, 이에 대한 제언을 제시하고자 한다. 본 연구는 B광역시에 소재한 재학생을 대상으로 실시하며, 그에 따른 연구결과에 대한 프로그램을 개발하고, 다양한 영향요인을 탐색하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.671-672
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• 2022

본 연구에서는 대학생의 자기결정성, 가족탄력성, 사회적지지, 대학생활적응의관계를 확인하고, 이에 대한 제언을 제시하고자 한다. 본 연구는 B광역시에 소재한 재학생을 대상으로 실시하며, 그에 따른 연구결과에 대한 프로그램을 개발하고, 다양한 영향요인을 탐색하고자 한다.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.1-10
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• 2021

The purpose of this study was to a descriptive investigative study to identify the relationship between social support, resilience, and college life adaptation of freshmen at K University. The participants comprised 120 freshmen from K University in K-Do, and the data were collected using online self-questionnaires. Data collection was from April 1, 2021, to May 10, 2021. The general characteristics of the subject were analyzed by descriptive statistics. The data were analyzed by descriptive statistics, an independent t-test, a one-way ANOVA, and the Pearson's correlation coefficient through the SPSS 25.0 Program. The average social support was 5.35±0.99 out of a total of 7 points, the average resilience was 3.35±0.34 out of a total of 5 points, and the average college life adaptation was 4.93±0.63 out of a total of 7 points. College life adaption and resilience(r=.380, p<.000), social support and resilience(r=.372, p<.000) was shown to be a significant statistic correlation. In conclusion, through this research, we propose to develop programs that can increase social support related to college life adaptation of college freshmen even in crisis situations such as COVID-19.

• Korean Chemical Engineering Research
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• v.57 no.4
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• pp.445-454
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• 2019

Layered double hydroxides (LDHs) nanoparticles have emerged as novel nanomaterials for bio-imaging applications due to its unique layered structure, physicochemical properties, and good biocompatibility. Bio-imaging is one of the most important fields for medical applications in clinical diagnostics and therapeutics of various diseases. Enhanced diagnostic techniques are needed to realize new paradigm for next-generation personalized medicine through nanoscale materials. When nanotechnology is introduced into bio-imaging system, nanoparticle probes can endow imaging techniques with enhanced ability to obtain information about biological system at the molecular level. In this review, we summarize structural features of LDH nanoparticles with current issues of bio-imaging system. LDH nanoparticle probes are also discussed through in vitro as well as in vivo studies in various bio-imaging techniques including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and computed X-ray tomography (CT), which will have the potential in the development of the advanced nanoparticles with high sensitivity and selectivity.