• Title/Summary/Keyword: Model design

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Development and Evaluation of Dietary Education Program Using Visual Thinking to Improve Caring Ability and Multicultural Acceptance for Middle School Students: Based on Technology and Home Economics Curriculum Revised in 2015 (중학생의 배려심·다문화수용성 향상을 위한 비주얼 씽킹 활용 식생활교육 프로그램 개발 및 적용: 2015 개정 기술·가정과 교육과정을 중심으로)

  • Koh, Jeewon;Park, Sun Sung;Kim, Seo Hyun;Kim, Yookyung
    • Journal of Korean Home Economics Education Association
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    • v.34 no.2
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    • pp.153-166
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    • 2022
  • The purpose of this study is to develop and evaluate a dietary education program to improve the caring ability and multicultural acceptance of middle school students. Based on the instructional system design of ADDIE model, the dietary education program was developed to contain five sessions including four theoretical lectures and one lab session. Visual thinking technique was used to train students to express their thoughts and emotion by writing and drawing. The dietary education program was conducted for four weeks (from November 19 to December 14, 2018) at a middle school located in Seoul on a total of 69 middle school students, out of which 34 were assigned to an experimental group and 35 were assigned to a control group. Separate paired t-test were conducted for the experimental group and the control group, respectively, to determine the changes in caring ability and multicultural acceptance scores before and after the dietary education. There were significant increases in caring ability (dietary-, emotional-, behavioral- and cognitive caring) and multicultural acceptance (diversity, relationship and universality) scores among the experimental group after the dietary program. However, no differences were observed among the control group. The results indicate that the dietary education program can be an effective tool to improve caring ability and multicultural acceptance of middle school students.

Comparison of retentive force and wear pattern of Locator® and ADD-TOC attachments combined with CAD-CAM milled bar

  • Chae, Sung-Ki;Cho, Won-Tak;Choi, Jae-Won;Bae, Eun-Bin;Bae, Ji-Hyeon;Bae, Gang-Ho;Huh, Jung-Bo
    • The Journal of Advanced Prosthodontics
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    • v.14 no.1
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    • pp.12-21
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    • 2022
  • PURPOSE. The purpose of this study was to investigate changes in retention and wear pattern of Locator® and ADD-TOC attachments on a digital milled bar by performing chewing simulation and repeated insertion/removal of prostheses in fully edentulous models. MATERIALS AND METHODS. Locator (Locator®; Zest Anchors Inc., Escondido, CA, USA) was selected as the control group and ADD-TOC (ADD-TOC; PNUAdd Co., Ltd., Busan, Republic of Korea) as the experimental group. A CAD-CAM milled bar was mounted on a master model and 3 threaded holes for connecting a bar attachment was formed using a tap. Locator and ADD-TOC attachments were then attached to the milled bar. Simulated mastication and repeated insertion/removal were performed over 400,000 cyclic loadings and 1,080 insertions/removals, respectively. Wear patterns on deformed attachment were investigated by field emission scanning electron microscopy. RESULTS. For the ADD-TOC attachments, chewing simulation and repeated insertion/removal resulted in a mean initial retentive force of 24.43 ± 4.89 N, which were significantly lower than that of the Locator attachment, 34.33 ± 8.25 N (P < .05). Amounts of retention loss relative to baseline for the Locator and ADD-TOC attachments were 21.74 ± 7.07 and 8.98 ± 5.76 N (P < .05). CONCLUSION. CAD-CAM milled bar with the ADD-TOC attachment had a lower initial retentive force than the Locator attachment. However, the ADD-TOC attachment might be suitable for long-term use as it showed less deformation and had a higher retentive force after simulated mastication and insertion/removal repetitions.

Convergence Plan of IT Social Safety and SIB by Expanding Sharing Information Data (공유정보 데이터 확대로 인한 IT와 SIB의 사회인식)

  • Seo, DaeSung;Lim, HeonWook
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.97-105
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    • 2022
  • This study deals with the credibility of citizens when investing in uncertain project companies, as well as the Social Performance Compensation Project (SIB) and the IT sharing economy. This allows the convergence of the three sectors to address investment inequalities in economic effectiveness and social security. Activates the model of the overall Social Impact Bond (SIB) process that successfully activates the exchange of information. The empirical presentation of the operations and techniques for social IT service finance examines how the innovation ecosystem can be created with social performance and reward projects. The analysis shows that small sharing institutions or citizens can participate directly to create the ability to connect with private investors, identify the possibility of recognizing non-shared barriers to participation, and show the great impact of citizen trust in IT sharing projects in uncertain areas. As a result, for the sake of social sharing and IT cooperation promoted by the City of Seoul, before the project has the ability to design directly, it will be responsible for reliability and safety in the planning of the project. Therefore, non-shared citizens can also participate in the platform that has been effectively constructed and created.

A Study on the Influence of Augmented Reality Experience in Mobile Applications on Product Purchase (모바일 어플리케이션의 증강현실 이용경험이 제품구매에 미치는 영향 연구)

  • Kim, Minjung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.971-978
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    • 2022
  • As a marketing method in a non-face-to-face society, the purpose of this study is to test how AR experience affects purchase intention in the process of consumers recognizing product information to purchase products and to secure the basis for the effectiveness of developing and introducing augmented reality functions in future product brand applications. Literary research methods and empirical research methods were used to verify the research purpose, and to measure this, an application of domestic tableware brand 'Odense', which implements augmented reality functions, was produced and used as an experimental tool. Also, a direct causal relationship was attempted by constituting a questionnaire by deriving a measurement scale for perceived usefulness, perceived ease, perceived pleasure, and purchase, which are factors of technology acceptance theory (TAM), and empirical analysis was conducted using the SPSS 25.0 statistical package to achieve the purpose of the study. As a result of the study, significant results were derived from all factors in the effect of perceived usefulness, ease, and pleasure on purchase intention, and several significant differences were found among factors according to gender, age, and internet shopping usage time in general characteristics. In conclusion, the user experience of the medium in which the augmented reality function is introduced in the information recognition stage of the product has a positive effect on purchase compared to the user experience of existing applications.

Impacts of Perceived Innovativeness of Convenience Store on Consumer Brand Engagement and Store Loyalty (편의점의 혁신성이 인지적 인게지먼트와 정서적 인게이지먼트, 그리고 점포충성도에 미치는 영향)

  • LEE, Young-Eun;LEE, Yong-Ki
    • The Korean Journal of Franchise Management
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    • v.13 no.1
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    • pp.35-46
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    • 2022
  • Purpose: With the rapid changes in the technical development and the trend of consumption trend, the convenience store industry is facing an unprecedented competitive situation in the consumption environment where the boundary between online and offline is broken due to the stagnation of offline distribution channels and the spread of online shopping. The biggest innovation strategy of the major convenience store brands in recent years are introducing the O2O (Online to Offline) platform and presenting new products and services beyond the boundaries of online and offline to transform themselves into Omni Channel stores. The study is designed to analyze the effect of innovativeness of convenience store as a stimulus in O2O platform which customers perceive on store loyalty, the final response to external stimuli, through customer engagement with convenience store brands. Specifically, the innovativeness of convenience stores was divided into types of core activities in corporate marketing and focused on innovations in services, products(proposals), promotions and experiences. Research design, data, and methodology: Various hypotheses have been developed to achieve this research purpose. The data were collected from 1,128 questionnaires the age between 15 and 60 who had experience using retail store apps and delivery apps and were analyzed using SPSS 22.0 and SmartPLS 3.3.7 program. Measurement model analysis was carried out to assess convergent and discriminant validity. Also, common method bias was tested using the values of VIF (variance inflation factor). The hypotheses were tested using structural equation modeling with SmartPLS 3.3.7 program. Results: First, service innovation has a positive effect on cognitive engagement. Second, product, promotion and experience innovation have a positive effect on cognitive and affective engagement. Third, cognitive influences affective engagement. Finally, both cognitive and affective engagement affect store loyalty, but affective engagement has a stronger effect on store loyalty than cognitive engagement. Conclusions: All four types of innovation and cognitive engagement have a positive effect on emotional engagement, which has a stronger effect on store loyalty than cognitive engagement. Thus, while innovation can build loyalty through emotional engagement, innovation strategies must be designed and pursued with caution in terms of impact through cognitive engagement may not achieve the planned goals.

Development of the Teaching-Learning Process Plan for 'Adolescent Nutrition and Dietary Behavior' of Middle School Technology and Home Economics through the Use of 'Blended Learning' Teaching Method (블렌디드 러닝을 활용한 중학교 기술·가정 '청소년기 영양과 식행동' 단원의 교수·학습과정안 개발)

  • Baek, Hee Yeon;Yoo, Se Jong;Kim, Yookyung
    • Journal of Korean Home Economics Education Association
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    • v.33 no.4
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    • pp.119-137
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    • 2021
  • This study aimed to develop a teaching-learning process plan for the 'adolescent nutrition and dietary behavior' unit of middle school technology and home economics through blended learning teaching method. "Analysis-Design-Development-Evaluation and Revision" model developed by Korea Institute of Curriculum and Evaluation(KICE) was applied to developing the teaching-learning process plan. The authors analyzed subject contents suitable for blended learning, and then designed a teaching-learning process plan by selecting the topics, developing the teaching strategies, and deciding on the media and evaluation tools for each class. Based on the plan for each week, the final version of the teaching-learning process plan, handouts for activities, and evaluation tools were developed. The teaching-learning process plan was revised and supplemented based on the expert verification results. The developed teaching-learning process plan which applied blended learning method was considered suitable for the current curriculum, and the group presentation activities implimented in the online classes were found to encourage learners' participation and interest. Also, the developed teaching-learning process plan could be used in the online only environment without any issues depending on the intention of the classes, by the appropriate use of distance learning tools such as Paddles or Thinkerbells. The developed teaching-learning course plan is expected to be effectively used in either online or blended learning environment, as a means of helping adolescent students improve their dietary life.

Effects of Vegetation on Pollutants and Carbon Absorption Capacity in LID Facilities (LID시설에서의 오염물질 및 탄소흡수능에 식생이 미치는 영향)

  • Hong, Jin;Kim, Yuhyeon;Gil, Kyungik
    • Journal of Wetlands Research
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    • v.24 no.2
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    • pp.115-122
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    • 2022
  • As the impermeable area of soil increases due to urbanization, the water circulation system of the city is deteriorating. The existing guidelines for low impact development (LID) facilities installed to solve these water problems or in previous studies, engineering aspects are more prominent than landscaping aspects. This study attempted to present an engineering and landscaping model for reducing pollutants by identifying the effects of vegetation on rainfall outflows and pollutant reduction in bioretention and the economic aspects of planting. Based on the results of artificial rainfall monitoring at Jeonju Seogok Park and the literature on vegetation rainfall runoff and pollutant reduction performance, the best vegetation for reducing pollution compared to cost was Lythrum salicaria L and Salix gracilistyla Miq. was the best vegetation for carbon storage. If you insist to design plants with only these two plantation, there is no choice but to take risks such as biodiversity. Herbaceous plants such as Lythrum salicaria L can be replaced by death of the plants or pests if considered planting various plants. The initial planting cost could expensive, but it is also necessary to mix and plant Salix gracilistyla Miq, which are woody plants that are advantageous in terms of maintenance, according to the surrounding environment and conditions. Based on the conclusions drawn in this study, it can be a reference material when considering the reduction of pollution by species and carbon storage of vegetation in LID facilities.

Effects of Caffeine lntake and Stress on Sleep Quality in University Students (대학생의 카페인 섭취와 스트레스가 수면의 질에 미치는 영향)

  • Kim, Sang Hyeon;Gwon, Su A;Kwon, Yu Jin;Kim, Se In;Kim, Ye Jin;Oh, Hye Ran;Ha, Su Young;Cha, Nam Hyun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.161-169
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    • 2022
  • The purpose of this study performed to confirm the effect of caffeine intake and stress on sleep quality of college students. Research respondents and data collection were conducted on 269 college students through Google questionnaires from February 14 to March 13, 2022, and the research design is a descriptive survey study. Statistical analysis was performed using the SPSS 27.0 version as t-test and one way ANOVA. As a result of the study, it was found that most college students consume more caffeine than the average daily caffeine intake of Korean adults, although it is far below the recommended daily caffeine intake of Korean adults. The quality of sleep of college students is stress (r=.32, p=<).001) and caffeine intake (r=.204, p=.001). It was found that there was a positive correlation. Factors affecting sleep quality are body mass index (β=.1.19, p<.001) Stress (β=.3.37, p<.001), smoking (β=-.18, p=.001), caffeine intake (β=.15, p=.005) It was in order, and the explanatory power of the model was 24.8%.

Metaverse Augmented Reality Research Trends Using Topic Modeling Methodology (토픽 모델링 기법을 활용한 메타버스 증강현실 연구 동향 분석)

  • An, Jaeyoung;Shim, Soyun;Yun, Haejung
    • Knowledge Management Research
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    • v.23 no.2
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    • pp.123-142
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    • 2022
  • The non-face-to-face environment accelerated by COVID-19 has speeded up the dissemination of digital virtual ecosystems and metaverse. In order for the metaverse to be sustainable, digital twins that are compatible with the real world are key, and critical technology for that is AR (Augmented Reality). In this study, we examined research trends about AR, and will propose the directions for future AR research. We conducted LDA based topic modeling on 11,049 abstracts of published domestic and foreign AR related papers from 2009 to Mar 2022, and then looked into AR that was comprehensive research trends, comparison of domestic and foreign research trends, and research trends before and after the popularity of metaverse concepts. As a result, the topics of AR related research were deduced from 11 topics such as device, network communication, surgery, digital twin, education, serious game, camera/vision, color application, therapy, location accuracy, and interface design. After popularity of metaverse, 6 topics were deduced such as camera/vision, training, digital twin, surgical/surgical, interaction performance, and network communication. We will expect, through this study, to encourage active research on metaverse AR with convergent characteristics in multidisciplinary fields and contribute to giving useful implications to practitioners.

A Study on A Deep Learning Algorithm to Predict Printed Spot Colors (딥러닝 알고리즘을 이용한 인쇄된 별색 잉크의 색상 예측 연구)

  • Jun, Su Hyeon;Park, Jae Sang;Tae, Hyun Chul
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.2
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    • pp.48-55
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    • 2022
  • The color image of the brand comes first and is an important visual element that leads consumers to the consumption of the product. To express more effectively what the brand wants to convey through design, the printing market is striving to print accurate colors that match the intention. In 'offset printing' mainly used in printing, colors are often printed in CMYK (Cyan, Magenta, Yellow, Key) colors. However, it is possible to print more accurate colors by making ink of the desired color instead of dotting CMYK colors. The resulting ink is called 'spot color' ink. Spot color ink is manufactured by repeating the process of mixing the existing inks. In this repetition of trial and error, the manufacturing cost of ink increases, resulting in economic loss, and environmental pollution is caused by wasted inks. In this study, a deep learning algorithm to predict printed spot colors was designed to solve this problem. The algorithm uses a single DNN (Deep Neural Network) model to predict printed spot colors based on the information of the paper and the proportions of inks to mix. More than 8,000 spot color ink data were used for learning, and all color was quantified by dividing the visible light wavelength range into 31 sections and the reflectance for each section. The proposed algorithm predicted more than 80% of spot color inks as very similar colors. The average value of the calculated difference between the actual color and the predicted color through 'Delta E' provided by CIE is 5.29. It is known that when Delta E is less than 10, it is difficult to distinguish the difference in printed color with the naked eye. The algorithm of this study has a more accurate prediction ability than previous studies, and it can be added flexibly even when new inks are added. This can be usefully used in real industrial sites, and it will reduce the attempts of the operator by checking the color of ink in a virtual environment. This will reduce the manufacturing cost of spot color inks and lead to improved working conditions for workers. In addition, it is expected to contribute to solving the environmental pollution problem by reducing unnecessarily wasted ink.