• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.156-165
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• 2020

330 Korean adult women were examined the correlation between degree of makeup and makeup satisfaction before/after wearing masks due to COVID-19 and the moderating effect of mandatory/voluntary goal-oriented attitude toward makeup. The study found that lip makeup(p<.001) was significant variable in makeup satisfaction before COVID-19, and eyebrow makeup(0<.002) was significant after COVID-19. Although moderating effect of mandatory goal-oriented attitude, which works between degree of makeup before/after COVID-19 and makeup satisfaction was not significant, but moderating effect of voluntary goal-oriented attitude appeared to be significant before(p<.000) and after(p<.000) COVID-19. And the degree of makeup after COVID-19 was lower than before(p<.000). If one believe that makeup is for one's own satisfaction, degree of makeup can be significant effect on the makeup satisfaction, but actual behavior has shown that degree of makeup has decreased since wearing masks because of COVID-19. I hope this research will be used as marketing material for beauty and cosmetics industry.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10b
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• pp.1071-1076
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• 1990

This paper proposes a navigation strategy of multiple autonomous mobile robots with communication within a specified space. Assuming that each robot has complete detectability with finite range, simple navigation strategy is derived by introducing repulsive forces between robots and attractive force between a robot and its goal point analogous to those between electric charges. When a robot is close to its goal point, a pseudo-domain based on the distance between the closest point of the domain boundary and the goal point is proposed to enhance its convergence to the goal state. This paper concludes with the results of computer simulation studies on the dynamic behavior of multiple interacting robots with the proposed navigation strategy.

• Journal of Korean Society of Rural Planning
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• v.23 no.3
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• pp.107-120
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• 2017

This study started with drawing problems of early implementation and suggesting improvement plans in order to lead a rural convergence industrialization district system to early settlement and management for its policy goals. The study aimed at 13 districts that were designated from 2014 to 2016 for analyzing an actual condition of promoting early implementation, and went ahead with it combining literature research, interview survey and specialist opinion investigation. The study examined and organized an outline, policy goal, and actual condition of rural convergence industrialization district. Furthermore, it analyzed an actual condition of promoting at each stage such as designating processes of rural convergence industrialization districts, operating body and system, regulation improvement, district supporting projects and relating projects, drew problems and finally suggested improvement plans. This study could be meaningful because it is the first study to grasp an actual condition of promoting early implementation and to remedy problems in order to manage rural convergence industrialization district system which was newly promoted since 2014 for its policy goal. In addition, it suggests that the further study of the result after managing district system for a certain period of time should be needed.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.3
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• pp.125-131
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• 2018

In this paper, we propose a homogeneous multisensor-based navigation algorithm for a mobile robot, which is intelligently searching the goal location in unknown dynamic environments with moving obstacles using multi-ultrasonic sensor. Instead of using "sensor fusion" method which generates the trajectory of a robot based upon the environment model and sensory data, "command fusion" method by fuzzy inference is used to govern the robot motions. The major factors for robot navigation are represented as a cost function. Using the data of the robot states and the environment, the weight value of each factor using fuzzy inference is determined for an optimal trajectory in dynamic environments. For the evaluation of the proposed algorithm, we performed simulations in PC as well as real experiments with mobile robot, AmigoBot. The results show that the proposed algorithm is apt to identify obstacles in unknown environments to guide the robot to the goal location safely.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.533-541
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• 2019

This study was designed to construct and test a structural equation model for related factors that affect to self-regulated learning in nursing students. The nursing students was asked to complete a questionnaire, and 273 data units were analyzed with Structural Equation Modeling. The hypothetical model fit indices for the model revealed a fit at a recommended level, and 5 of the 6 paths were statistically significant explaining 68% of the variance. Therefore, education that improves self-determination, interpersonal competence and achievement goal orientation will promote self-regulated learning of nursing students. Competence programs to build the self-autonomy and relationships should be developed.

• Journal of Korea Multimedia Society
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• v.24 no.3
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• pp.355-372
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• 2021

Recently, high-performance HMDs (Head-Mounted Display) are becoming wireless due to the growth of virtual reality technology. Accordingly, environmental constraints on the hardware usage are reduced, enabling multiple users to experience virtual reality within a single space simultaneously. Existing multi-user virtual reality platforms use the user's location tracking and motion sensing technology based on vision sensors and active markers. However, there is a decrease in immersion due to the problem of overlapping markers or frequent matching errors due to the reflected light. Goal of this study is to develop a multi-user virtual reality moving platform in a single space that can resolve sensing errors and user immersion decrease. In order to achieve this goal hybrid sensing technology was developed, which is the convergence of vision sensor technology for position tracking, IMU (Inertial Measurement Unit) sensor motion capture technology and gesture recognition technology based on smart gloves. In addition, integrated safety operation system was developed which does not decrease the immersion but ensures the safety of the users and supports multimodal feedback. A 6 m×6 m×2.4 m test bed was configured to verify the effectiveness of the multi-user virtual reality moving platform for four users.

• Fourth Industrial Review
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• v.4 no.1
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• pp.11-18
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• 2024

Purpose: The purpose of this study is to develop a geography class teaching and learning guide that enables learners to realistically explore the characteristics of the world's climate and geographical environment using digital tools. Research design, data and methodology: We review previous research on classes using goal-based scenario learning models, gamification, and digital tools, and explore tools that can be applied to world geography classes. Based on the exploration results, a goal-based scenario learning module is designed and a strategy for promoting educational gamification is established based on the ADDIE instructional design model. Results: The study comprises four sessions. Sessions 1-3 involve performance evaluations using a goal-based scenario learning module. Learners create game characters reflecting geographical characteristics, present results, and proceed with 3D modeling. In Session 4, a gamification class using Google Sites on the CoSpaces metaverse platform will be conducted. Conclusions: The study introduces a goal-based scenario learning model and a gamification class using digital tools to empower learners in exploring geographical diversity and its impact on lifestyles. Utilizing an accessible online platform, the study provides practical measures for integrating digital tools into geography education, addressing the current importance of digital technology in teaching.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.77-83
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• 2017

For efficient predictive analysis, self-healing research is needed that enables the system to recover autonomously by self-cognition and diagnosing system problems. However, software development does not provide formal contextual information analysis and appropriate presentation structure according to external situation. In this paper, we propose a prediction analysis method based on the change contents by applying the extraction rule to the functions that can act, data, and transaction based on the new Goal-scenario. We also evaluated how well the predictive analysis met through the performance indicators for achieving the requirements goal. Compared with the existing methods, the proposed method has a maximum 32.8% higher matching result through performance measurement, resulting in a 28.9% error rate and a 45.8% reduction in the change code. This shows that it can be processed into a serviceable form through rules, and it shows that performance can be expanded through predictive analysis of changes.

• Convergence Security Journal
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• v.19 no.2
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• pp.137-146
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• 2019

This study seeks into an education goal and an achievement level based on investigating relationships between NCS communication abilities and communication educations for petty officer major students. Also, the study looks deep into approriate Integrated document training materials. A goal of the petty officer's communication education, which is supposed to achieve more than the average standard is improving abilities to understand documents and create documents related to the real petty officer's life. The goal of this communication study is designed with considering the petty officers' ability factors and the detailed weekly achievement goals based on characteristics of petty officers. the proper way to reach the goal of the Integrated document training materials is constructed as three step process; Presenting subject - group activity - handing in final activity report. Also, the education is designed to write evaluation forms continuously for students to keep eyes on their achievement levels. As the importance of NCS is emphasized these days, the Integrated document training materials present the ways how this education is needed to go on, and this shows ways to improve students' document writing abilities. For the last, the study mentions a proposal for further tasks on this field.

• Journal of Information Technology Applications and Management
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• v.27 no.4
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• pp.49-62
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• 2020

In this study, the research model of VR·AR contents convergence education for solving social problems was presented after benchmarking the domestic and foreign realistic educational contents industry and policy trends and Fishbone diagram analysis. The goal was to create VR·AR content convergence talent for co-prosperity in the era of the fourth industrial revolution, and the target of education was students, researchers, and business personnel who are interested in VR AR technology education and contents business such as game animation, etc. The education model is based on understanding about storytelling of the socially disadvantaged, such as children and the elderly, and is technology education for content production including the application of virtual and augmented reality SW, and is a convergence education for content planning and business model strategy development.