• Journal of Digital Contents Society
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• v.16 no.3
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• pp.417-424
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• 2015

The research of occupational injury for safety and health is a comparatively recent occurrence. As labor activities took place regarding to employee concerns in industrial uprising, human resources health was tried to enhanced as a labor safety subject. Noticing that traditional statistics approach has limitations in learning future forecasting and major factors causing occupational injuries in each industry, Korean Government initiated a quantitative systematic simulation model project to analyze how the annual injury rate has been dropped and stays in a level for recent years. From this motivation and the project, system dynamics models have been developed to explain the mechanisms for reducing annual injury rate, and the mechanisms quantitatively. The main cause effects for the reduction of annual injury rate were due to the government driven investment on safety facilities. In overall viewpoint the gain achievable from these efforts has been reached a saturated level. However, it could reduce the annual injury rate if you chose the industry and size carefully. The model for forecasting, major injury factors, safety budget and allocation are introduced and analyzed, and Analyzing occupational injury related factors can also reduce employee injury and disease related costs, including medical care, quit, and disability assistance costs.

• Journal of Gifted/Talented Education
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• v.18 no.3
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• pp.443-464
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• 2008

This study analyzes the surveys of attitudes toward science, the peer relationship, the achievement motivations, and the parents' attitudes to science gifted education. It have been conducted to 53 scientifically gifted and 120 non-gifted students. The findings from the analyses suggest that there exist few meaningful differences in the attitude toward science, the motive for achievements and the peer relationship except in the parents' attitude to the gifted student education. This means that the recognition and the attitude of the parents have great influences on non-gifted students especially female students in the process of resolving to take future directions to science fields and choosing the gifted education center. Accordingly, we are in dire need of the changes in the social recognition of science and it is strongly recommended to seek for the ways of promoting science and supporting engineering graduates at the level of nation, thereby establishing legal and institutional foundations to make effective human resource arrangements.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.5
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• pp.489-496
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• 2006

The random-based cleaning algorithm is a simple algorithm widely used in commercial vacuum cleaning robots. This algorithm has two limitations, that is, cleaning takes a long time and there is no guarantee that the cleaning will cover the whole cleaning area. This has lead to customer dissatisfaction. Thus, in recent years, many intelligent cleaning algorithms that takes into consideration information gathered from the cleaning area environment have been proposed. The plowing-based algorithm, which is the most efficient algorithm known to date when there are no obstacles in the cleaning area, has a deficiency that when obstacle prevail, its performance is not guaranteed. In this paper, we propose the Group-k algorithm that is efficient for that situation, that is, when obstacle prevail. The goal is not to complete the cleaning as soon as possible, but to clean the majority of the cleaning area as fast as possible. The motivation behind this is that areas close to obstacles are usually difficult for robots to handle, and hence, many require human assistance anyway In our approach, obstacles are grouped by the complexity of the obstacles, which we refer to as 'complex rank', and then decide the cleaning route based on this complex rank. Results from our simulation-based experiments show that although the cleaning completion time takes longer than the plowing-based algorithm, the Group-k algorithm cleans the majority of the cleaning area faster than the plowing algorithm.

• The Journal of Korean Association of Computer Education
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• v.18 no.2
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• pp.35-45
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• 2015

The development of ICT in the 21st century in many ways, affecting the human life. These developments are many positive influence, such as convenience and efficiency, but has also shown negative effects, such as Smartphone addiction. This study is based on advanced research to determine whether Self-determination motivation theory such as the autonomy, competence, relatedness has a significant effect on Smartphone addiction. And also explore the relationship between Flow with Smartphone addiction based by the autonomy, competence, relatedness, playfulness. To sum up the results of the study as follows; First, the autonomy was shown to have a negative impact on Flow. Second, the competence, relatedness, playfulness was shown to have a positive impact on Flow. Third, the Flow was shown have a positive impact on Smartphone-Addiction. Also, the details of Smartphone addiction, preoccupation, life difficulty, usual, excessiveness were shown to be affected by the Flow.

• Journal of Information Management
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• v.39 no.1
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• pp.131-149
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• 2008

The purpose of this study is to suggest faculty status for academic librarians in Korea. This will assure the efficient use of academic librarians as human resources for university libraries. To do this, this study reviewed precedent literaturer. Also, the study looked at qualified academic librarians that could be endowed faculty status. Questionnaires were performed and opinions between professor groups and librarian groups were compared. On every question, the two groups responded positively although there were some differences in agreement level on the above questions. Endowing faculty status to academic librarians, who work in university libraries, acts as a motivation, will help to increase the ability of librarians, and increase service quality. This will eventually contribute developing better education and research.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.231-241
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• 2021

The consulting industry is also growing as the use of management consulting increases as the importance of management strategies for the survival of companies due to rapid environmental changes is highlighted. As a result, competition among consulting firms is intensifying, and securing competitiveness is essential. This study tried to confirm the method of securing competitiveness of consulting firms from the perspective of organizational competitiveness through organizational effectiveness. As the consulting service is a knowledge service field, an empirical analysis was conducted for consultants who performed it because professional human resources were a core technology. Exploratory factors, reliability analysis, and regression analysis were performed using SPSS 22.0. As a result of a study on the effect of consultants' organizational effectiveness on customer orientation, it was found that the consultant's organizational commitment and organizational performance had a significant effect. It was possible to confirm the importance of intrinsic motivation to secure the competitiveness of consulting firms in the changing environment. This presented practical implications for organizational management regarding the continuous growth of consulting firms.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.9-19
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• 2019

The effects of artificial intelligence technology is social science research as research on the impact on industry and changes in daily life, etc. This means that developing 'emotion AI' will prepare 'next-generation 3D-vector-sensitive AI'. This suggests the main keywords of the tertiary AI decision-making power. Particularly important results will be achieved because of the importance of current unethical learning and the implementation of decision-making systems that reflect ethical value judgments. This is a data based simulation, and required (1)Available data, (2)the technology for the goal of simulation. This takes into account the general content of the intended simulation based research. Currently, existing researches focus on meaningful research motivation, but this study presents the direction of technology. So, empirical analysis is consistent with the decision-making power of each country vs. new technology firms for AI on ehtic responsibility. As a result, there is a need for a concrete contribution and interpretation that can be achieved for the ethic Responsibility, on the technical side of AI / ML. In AI decision making, analytic power of human empathy should be included tech own trust.

• Architectural research
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• v.21 no.3
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• pp.79-90
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• 2019

The ephemeral and temporal nature of pavilions is the underlying motivation that led to the development of this paper. From the beginning of the industrial era through contemporary history, there have been many instances of architects attempting to rethink architectural design in the context of modern social, cultural, and technical imperatives. Today, the leading changes in humanity are accompanied by a revolutionary electronic digital medium. The pavilion has been in an amalgamation of architectural integration since the beginning of human history. World's Fairs/Expos have, since their establishment, served as international presentations of goods and achievements of particular nations. They became a popular stage wherein potential architectural achievements were showcased through the evocative architecture of pavilions. Due to the pavilion's "temporary nature," its coverage includes various perspectives: social, historical, geographical, post-colonial, iconographical, temporal, and ephemeral. It has also served as a receptacle due to its representational value at a given time. The pavilion has offered architectural designers, clients, and visitors a place to use their imaginations. Moreover, the architect's role in creating pavilions cannot be overestimated. Due to fact that they abound in symbolism, contemporary designs, and innovative solutions, pavilions often mirror modern mankind and plan for the next aesthetic revolutions and ideological architectural theories. To understand and appreciate architects' original intentions with their pavilions, this paper focuses on noteworthy pavilions that were created from the beginning of industrialization through the present. It explores and discusses the pavilion's characteristics, highlights the significance of its physical form as generated by a specific theme.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.161-176
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• 2020

This study was to examine the group difference of parental composition (parents, single parent group) in the relationship between parental attitude (supervision, affection, rational explanation) and children's life satisfaction through ego-resilience as a mediating factor. For this, a multi-group analysis was conducted using 310 student data from the 4th panel data of the KCYPS. The results were as follows: First, parents' affectionate parenting attitude on children's life satisfaction was significant in both groups. Second, affectionate and supervisory attitude had effects to improve ego-resilience only in the single-parent group. Third, the affectionate attitude showed a significant positive effect on children's life satisfaction by mediating ego-resilience only in single parent group. This study verified the structural relationship of factors affecting children's life satisfaction and different the pattern of that relationship depending on parental composition. Finally, limitations and implications for future research were presented.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.290-293
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• 2021

In this paper, we implement a learning efficiency verification system to inspire learning motivation and help improve concentration by detecting the situation of the user studying. To this aim, data on learning attitude and concentration are measured by extracting the movement of the user's face or body through a real-time camera. The Jetson board was used to implement the real-time embedded system, and a convolutional neural network (CNN) was implemented for image recognition. After detecting the feature part of the object using a CNN, motion detection is performed. The captured image is shown in a GUI written in PYQT5, and data is collected by sending push messages when each of the actions is obstructed. In addition, each function can be executed on the main screen made with the GUI, and functions such as a statistical graph that calculates the collected data, To do list, and white noise are performed. Through learning efficiency checking system, various functions including data collection and analysis of targets were provided to users.