• The Journal of Industrial Distribution & Business
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• v.11 no.7
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• pp.41-49
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• 2020

Purpose: The purpose of this study is to recognize the role and necessity of public data visualization through prior research, investigation, and data verification processes. In addition, this study intends to check what factors should be considered in order to visualize data on the mobile web. Through this process, by identifying the cognitive load affecting information visualization by type, as a result, I would like to propose an effective information visualization method to effectively deliver public data related to government policies. Research design, data and methodology: In this study, we analyzed the case of information visualization according to infographics, which has been widely used in the public field among various visualization methods. For this study, a questionnaire survey was conducted for young people in their 20s and 30s with the highest mobile usage rate. Results: Based on the results, IPA (Importance Performance Analysis) was performed to conduct cognitive load test tools for information visualization of public data and confirmed the implications for each type of infographics. Conclusions: As a result of research, in order to efficiently deliver public data on the mobile web, first, it is necessary to construct a visual screen that can be easily identified through clear data. Appropriate graphic elements can be used according to the type to make it easier for users to acquire and understand information. Second, it is necessary to provide useful content in visualizing information. Third, in order to efficiently transmit information and increase understanding of data, it is necessary to visualize information that can induce interest in data and form metaphors. Fourth, it is necessary to visualize information to reduce cognitive load in terms of physical and mental aspects in order to accommodate users' comfortable information. Fifth, in order to effectively deliver public data, it is necessary to compose contents and information that are easy for users to understand. This study examines effective information visualization methods to increase the communication effect of public data in response to changes in the data-based intelligent information society and suggests implications for each type considering cognitive loads to help future public institutions to communicate and accept information.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1522-1530
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• 2014

High-rise residential complex type is getting important as new town development and urban regeneration in the downtown area. However, literature review of high-rise residential complex and research on satisfaction analysis of real residents are lack. Therefore, this paper is analyzing environmental friendly planning elements of high-rise building as housing subdivision, inside of building, facility, and maintenance by a survey on experts. The purpose of this paper is to suggest improvement method of environmental-friendly planning elements of high-rise residential complex by M-IPA. First, as a result, the part of housing subdivision has to keep complex land utilization, environmental-friendly transportation. Second, the part of inside of building shows that ecological housing subdivision, indoor air environment urgent and indoor temperature environment keeps maintaining. Finally, the part of facility/maintenance shows that material and facility, and index of energy management are urgently needed.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.193-200
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• 2024

This study aims to answer the following questions: 'Do university students who are satisfied with their online courses have higher academic achievement?' and 'What are the key self-regulated learning strategy factors that influence satisfaction and academic performance?'. To do this, this study conducted a survey of university students taking online courses and collected a total of 95 questionnaires. Research method used structural equation model. The results of the analysis showed that, First, satisfaction and academic achievement in university online courses were found to be unrelated. Second, the factors affecting satisfaction and academic achievement were found to be different. Time management was analyzed as a significant factor affecting both satisfaction and academic achievement, while interaction was found to affect satisfaction only. These findings can be used as a basis for developing practical policies to prioritize and support self-regulated learning as an effective teaching method in university online courses.

• Journal of the Korean Society of School Health
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• v.29 no.3
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• pp.167-179
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• 2016

Purpose: This study was performed to analyze the job of school health teachers working at high schools in Seoul, using DACUM (Developing a curriculum), a method for analyzing job-focused competency. Methods: A DACUM workshop was held to define school health teachers' role and identify their duties and tasks. For the workshop, a committee was organized, consisting of 5 school health teachers. Finally, the developed contents, after validation, were made into a survey asking about school health teacher's duties and tasks and the survey was carried out on 37 school health teachers. Results: 14 duties and 90 tasks were identified on the DACUM chart. The importance, difficulty, and frequency of the tasks were represented with ${\alpha}$ bet A, B, and C, with A being the highest degree. The duty with the biggest determinant coefficient (DC) was 'management of emergency patients' (DC=7.95), while the lowest was 'management of health clinic supplies' (DC=4.33). In terms of tasks, the one with the biggest DC was 'conducting physical assessment for emergency patients' (DC=7.8), followed by 'conducting health classes' (DC=7.79). 'Supervising school lunch' (DC=2.02) and 'supervising self-study' (DC=2.42) were the tasks with the smallest and the second smallest DC. Conclusion: The results of the study show that school health teachers'job expanded to include preventive activities such as health education, health counseling, and health promotion activities. The results of this study can serve as basic data for developing training programs for school health teachers as well as an evaluation-scale to measure school health teachers' job performance.

• Journal of Environmental Science International
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• v.24 no.4
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• pp.437-447
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• 2015

Estimation of runoff peak is needed to assess water availability, in order to support the multifaceted water uses and functions, hence to underscore the modalities for efficient water utilization. The magnitude of storm rainfall acts as a primary input for basin level runoff computation. The rainfall-runoff linkage plays a pivotal role in water resource system management and feasibility level planning for resource distribution. Considering this importance, a case study has been carried out in the Hancheon basin of Jeju Island where distinctive hydrological characteristics are investigated for continuous storm rainfall and high permeable geological features. The study aims to estimate unit hydrograph parameters, peak runoff and peak time of storm rainfalls based on Clark unit hydrograph method. For analyzing observed runoff, five storm rainfall events were selected randomly from recent years' rainfall and HEC-hydrologic modeling system (HMS) model was used for rainfall-runoff data processing. The simulation results showed that the peak runoff varies from 164 to 548 m3/sec and peak time (onset) varies from 8 to 27 hours. A comprehensive relationship between Clark unit hydrograph parameters (time of concentration and storage coefficient) has also been derived in this study. The optimized values of the two parameters were verified by the analysis of variance (ANOVA) and runoff comparison performance were analyzed by root mean square error (RMSE) and Nash-Sutcliffe efficiency (NSE) estimation. After statistical analysis of the Clark parameters significance level was found in 5% and runoff performances were found as 3.97 RMSE and 0.99 NSE, respectively. The calibration and validation results indicated strong coherence of unit hydrograph model responses to the actual situation of historical storm runoff events.

• Fire Science and Engineering
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• v.25 no.2
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• pp.71-79
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• 2011

Since 2008 Korea's fire administration has recognized the importance of human resources by introducing a mentoring system for new employees. This mentoring program is helping new employees adapt to the organization quickly and effectively. In addition, prevention inspectors are improving their job ability and expertise by ensuring the mentoring system has been introduced and operated. However, the current operating and fire officials mentoring system has a variety of problems including lack of expertise on the part of the mentors, deficiency of the legal system, lack of mentoring for information and materials, and lack of compensation, and formal mentoring training for mentors. In this study, the fire officials' mentoring system analysis and previous studies on the fire officials' mentoring functions will be analyzed to determine its effect on job performance. Results of this study of fire officials' job ability show that the variables that affect the mentoring program include the role model, business achievement, teaching method, attitude, interest, and achievement.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.3-12
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• 2019

VE analysis is a method to secure definite functions and performance by defining user's various requirements clearly and propose alternatives to reduce cost. However, the present domestic VE project has difficulty in defining design function analysis clearly due to time constraints as well as difficulty in effective and efficient communication between project stakeholder. Domestic results of VE were largely focused on reducing cost while maintaining the functions of the existing facility. Therefore, this study aims to secure the optimal functions for users according to the original intent of user requirements through QFD-VE model which project VE participants can make collective and cooperative decision making. QFD-VE is a technique that first, it can make collaborative decision making in defining and modifying of design function and setting the importance of requirement function. Second, it allow project VE participants to check design interference and conflict between neighbor systems. This study also provided a mathematical model for implementing the computer system using QFD-VE in the future.

• Journal of the Korea Society for Simulation
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• v.19 no.2
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• pp.17-28
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• 2010

Since a homing torpedo system consists of various subsystems, organic interactions of which dictate the performance of the torpedo system, it is necessary to estimate the effects of individual subsystems in order to obtain an optimized design of the overall system. This paper attempts to gain some insight into the detection mechanism of a torpedo run, and analyze the relative importance of various parameters of a torpedo system. A database for the analysis was generated using a simulation model based on the combined discrete event and discrete time architecture. Multiple search schemes, including the snake-search method, were applied to the torpedo model, and some parameters of the torpedo were found to be stochastic. We then analyzed the effectiveness of torpedo’s detection capability according to the torpedo speed, the target speed, and the maximum detection range.

• Education of Primary School Mathematics
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• v.25 no.1
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• pp.19-41
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• 2022

Online classes have become one of the general teaching and learning method in elementary education, and elementary school teachers are essentially required to design and implement online math classes that reflect the characteristics of online environment and the specificity of the subject. The qualitative improvement of online mathematics lessons can start with examining what difficulties teachers actually have in enacting the online lessons, and this study focused on their educational needs by examining the degree to which elementary school teachers perceive and implement in terms of designing online interactions. The result showed that teacher education on Learner-Content Interaction (LC) and Learner-Learner Interaction (LL) was necessary for elementary school teachers designing online mathematics lessons, and the educational needs of detailed items of interactions were confirmed. Furthermore, it was found that there was a difference in educational needs for the types of online interactions according to the career life cycle of elementary school teachers. The instructional design strategies for online interactions in online mathematics lessons and implications for teacher education necessary for elementary school teachers were derived from the result.

• Steel and Composite Structures
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• v.51 no.5
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• pp.509-527
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• 2024

Bonding carbon fiber-reinforced polymer (CFRP) laminates have been extensively employed in the restoration of steel constructions. In addition to the mechanical properties of the CFRP, the bond strength (P_U) between the CFRP and steel is often important in the eventual strengthened performance. Nonetheless, the bond behavior of the CFRP-steel (CS) interface is exceedingly complicated, with multiple failure causes, giving the P_U challenging to forecast, and the CFRP-enhanced steel structure is unsteady. In just this case, appropriate methods were established by hybridized Random Forests (RF) and support vector regression (SVR) approaches on assembled CS single-shear experiment data to foresee the P_U of CS, in which a recently established optimization algorithm named Aquila optimizer (AO) was used to tune the RF and SVR hyperparameters. In summary, the practical novelty of the article lies in its development of a reliable and efficient method for predicting bond strength at the CS interface, which has significant implications for structural rehabilitation, design optimization, risk mitigation, cost savings, and decision support in engineering practice. Moreover, the Fourier Amplitude Sensitivity Test was performed to depict each parameter's impact on the target. The order of parameter importance was t_c> L_c > E_A > t_A > E_c > b_c > f_c > f_A from largest to smallest by 0.9345 > 0.8562 > 0.79354 > 0.7289 > 0.6531 > 0.5718 > 0.4307 > 0.3657. In three training, testing, and all data phases, the superiority of AO - RF with respect to AO - SVR and MARS was obvious. In the training stage, the values of R² and VAF were slightly similar with a tiny superiority of AO - RF compared to AO - SVR with R² equal to 0.9977 and VAF equal to 99.772, but large differences with results of MARS.