• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2473-2489
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• 2022

Urban development has brought about the increasing saturation of urban traffic demand, and traffic congestion has become the primary problem in transportation. Roads are in a state of waiting in line or even congestion, which seriously affects people's enthusiasm and efficiency of travel. This paper mainly studies the discrete domain path planning method based on the flow data. Taking the traffic flow data based on the highway network structure as the research object, this paper uses the deep learning theory technology to complete the path weight determination process, optimizes the path planning algorithm, realizes the vehicle path planning application for the expressway, and carries on the deployment operation in the highway company. The path topology is constructed to transform the actual road information into abstract space that the machine can understand. An appropriate data structure is used for storage, and a path topology based on the modeling background of expressway is constructed to realize the mutual mapping between the two. Experiments show that the proposed method can further reduce the interpolation error, and the interpolation error in the case of random missing is smaller than that in the other two missing modes. In order to improve the real-time performance of vehicle path planning, the association features are selected, the path weights are calculated comprehensively, and the traditional path planning algorithm structure is optimized. It is of great significance for the sustainable development of cities.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.973-980
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• 2023

This study analyzed the effects of a Micro-learning content-based extracurricular program among university students based on their general characteristics. A survey was conducted on 600 students affiliated with G University, a major national university. Learning immersion and learning motivation were used as the key indicators for measuring the learning effects. Cronbach's α coefficient analysis was performed to validate the reliability of the learning effect measurement tool. Independent sample t-tests were utilized to analyze differences in learning immersion and learning motivation based on gender and major disciplines. One-way analysis of variance (ANOVA) was employed to measure differences in learning immersion and learning motivation according to academic year. According to the research findings, gender and academic year did not significantly influence participation in the Micro-learning content-based program. However, differences in learning immersion and learning motivation were observed depending on the major discipline. Based on this, it is suggested that future programs should provide suitable environments and stimuli based on the students' major disciplines.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.485-494
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• 2021

This study aimed to examine the effect of selected factors on confidence in nursing performance among new operating room nurses, with a focus on the mediating effect of learning flow. Data was collected from July to August 2019 using structured questionnaires. The participants were 250 new operating room nurses from university hospitals located in Incheon and Gyeonggi. The collected data was analyzed using the IBM SPSS Statistics 25.0 and AMOS 24.0. Structural equation modeling was performed to examine the effect of the selected factors namely web-based video programs on confidence in nursing performance, and the mediating effect of learning flow. Results: The factors of 'hygiene & safety' and 'patient care' from the web-based video programs had a positive effect on the learning flow. The higher the learning flow of the nurses, the greater their confidence in nursing performance. Just the 'hygiene & safety' factor significantly increased nursing performance. Conclusion: The study results suggest that new nurses perceive that 'hygiene & safety' is an important factor in building their confidence in nursing performance, even without the learning flow. Therefore, it is necessary to develop web-based video programs based on nurses' needs and to emphasize the importance of postoperative care.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.267-274
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• 2021

The purpose of this study is to investigate differences in learning flow and teaching presence according to the lecturer's appearance and the lecturer's speech rate. For this experiment, 183 freshman students from Xingtai University in China were selected as subjects of the experiment, and a total of four types of lecture videos were developed to test the lecturer's appearance and their speech rates. Data was analyzed through multivariate analysis of variance. According to the results of the analysis, first, learning flow and teaching presence of groups who experienced the presence of the lecturer appeared were significantly higher than the groups who learned without the appearance of the lecturer. Second, the groups who learned from videos with a fast speech rate showed higher learning flow and teaching presence than the group who learned at a slow speech rate. Third, there were no significant differences in both learning flow and teaching presence according to the lecturer's appearance and speech rate. This result provides a theoretical and practical basis for developing customized videos according to learners' characteristics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.106-114
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• 2017

This study was a one-group pre-post test design experimental investigation conducted to evaluate the effects of problem-based learning by type of learning in nursing students. The subjects of the study were 125 senior students in the Department of Nursing Science at a single university located in A. City, and the study was conducted for eight weeks from April 18 through June 10, 2016. Data analysis consisted of descriptive statistics, ANOVA, ${\chi}^2$-tests and t-tests. Most nursing students underwent converger type of learning, and after problem-based learning, their learning flow, problem-solving ability and critical thinking disposition increased significantly. In problem-based learning by type of learning, the problem-solving ability was significantly higher in the converger type than in the accommodator type, and there were no significant differences in learning flow and critical thinking disposition; however,in all types of learning, learning flow and critical thinking disposition increased. Since these results suggest that teaching and learning strategies should be set up for each type of learning, it is necessary to seek plans for teaching and learning strategies to make up for the weak points and strengthen the strong points by each type of learning when applying the problem-based learning method.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.94-96
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• 2009

In this paper, we present the Q-learning method for adaptive traffic signal control on the basis of multi-agent technology. The structure is composed of sixphase agents and one intersection agent. Wireless communication network provides the possibility of the cooperation of agents. As one kind of reinforcement learning, Q-learning is adopted as the algorithm of the control mechanism, which can acquire optical control strategies from delayed reward; furthermore, we adopt dynamic learning method instead of static method, which is more practical. Simulation result indicates that it is more effective than traditional signal system.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.319-328
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• 2014

The purpose of this study was to investigate circadian rhythms, learning flow, and fatigue of college students. The differences in learning flow and fatigue according to the type of circadian rhythms were also examined. The study used a descriptive survey research design. The convenience sample consisted of 224 college students from five universities. The data were collected from May to June in 2013 using the following instruments: Morningness-Eveningness Questionnaire-Korean (MEQ-K), Flow State Scale, and Fatigue Assessment Inventory. The participants in the study were mostly put in neither-type (51.8%), and only 4.0% in morning-type. The morning-type students had higher learning flow scores and lower fatigue scores than the night-type students. The types of circadian rhythms measured by MEQ-K were compared to the subjective types of circadian rhythm which was based on the participants' self evaluation. There was a difference in the measured type and the subjective type in 32.1% of the participants. The findings of this study suggest that an intervention program to help college students accurately recognize their circadian rhythms might be effective in improving learning flow and decreasing fatigue.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.499-511
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• 2011

The purpose of this paper was to investigate differences in middle school student's after school satisfaction according to the type and the degree of flow of after school. For the purpose of this paper, a survey was conducted including a questionnaire consisting of a general characteristic of the study object, a general characteristic of the after school class, learning-flow scale, and after school satisfaction scale. The subjects were 382 students who were selected at random from middle school students. Cronbach' ${\alpha}$ and MANOVA were employed for data analysis. The results were as follows: First, the students with special-ability aptitude class were more satisfied for after school instructors than the students with subject class. Second, the students with the degree of high learning-flow showed higher satisfaction in after school class curriculum, instructors, and educational facility than the degree of low learning-flow students. Third, among the students who were high in learning-flow, the students with special-ability aptitude class were more satisfied with after-school class curriculum and educational facility compared to the students with subject class.

• Journal of Electrical Engineering and Technology
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• v.9 no.1
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• pp.80-89
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• 2014

A stochastic optimal power flow (S-OPF) model considering uncertainties of load and wind power is developed based on chance constrained programming (CCP). The difficulties in solving the model are the nonlinearity and probabilistic constraints. In this paper, a limit relaxation approach and an iterative learning control (ILC) method are implemented to solve the S-OPF model indirectly. The limit relaxation approach narrows the solution space by introducing regulatory factors, according to the relationship between the constraint equations and the optimization variables. The regulatory factors are designed by ILC method to ensure the optimality of final solution under a predefined confidence level. The optimization algorithm for S-OPF is completed based on the combination of limit relaxation and ILC and tested on the IEEE 14-bus system.

• Educational Technology International
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• v.12 no.2
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• pp.1-18
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• 2011

This study intends to examine the effects of motivational scaffolding in Computer-Supported Collaborative Learning (CSCL). This study was focused on the following two questions. Do motivational scaffolding lead to positive effects on the process in CSCL? Do motivational scaffolding lead to positive effects on the outcome in CSCL? In order to identify strategies for motivational scaffolding, we reviewed the "Flow Theory." Based on literature reviews, principles and strategies were drawn for the motivational scaffolding. An experimental study was conducted in order to investigate the effects of motivational scaffolding on process and outcome. In this study, 87 undergraduate students were divided into two different groups (control group, experimental group). Motivational scaffolding was provided to experimental group. The process was analyzed by examining learners' satisfaction in process. The outcome was analyzed by examining learners' satisfaction in product, group coherence, and quality of product. The difference between the two groups was statistically significant. From these results, we concluded that motivational scaffolding led to positive effects on process and outcome in CSCL environment.