• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.473-482
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• 2021

This study attempted to provide basic data for career counseling and education programs by verifying the mediating effect of career decision-making self-efficacy on relationship between perceived social support and career preparation behavior of Korean Polytechnics students. A total of 314 students from 11 departments attending the I Campus of Korea Polytechnics II were surveyed, and the research results are as follows. First, it was found that career decision-making self-efficacy completely mediated the relationship between social support and career preparation behavior. Second, the career decision-making self-efficacy had complete mediating effects on the relation between social support and career preparation behavior. Third, it was found that social support indirectly had a positive effect on career preparation behavior through career decision-making self-efficacy. The results of this study show that perceived social support of Korean Polytechnics students affects career decision-making self-efficacy and increases the level of career preparation behavior. This suggests that through active social support around Korean Polytechnics students, it is necessary to provide environmental factors that can promote career preparation behavior by enhancing the self-efficacy of career decision-making, which is a low-level factor for students.

• Knowledge Management Research
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• v.23 no.4
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• pp.275-294
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• 2022

In recent years, with the continuous integrative development of e-commerce and social media, social commerce, as a trust-centered social transaction mode, has become an important performance form of e-commerce. The good experience of online community and abundant user-generated content (UGC) attract more and more users and businesses to participate in the community contribution. In this context, the cost of accessing information is continuously decreasing, which not only makes the purchase process more concise and efficient, but also greatly increases the possibility of consumers' impulsive consumption. However, there are very few empirical studies on the internal influencing mechanism of consumers' impulsive consumption based on the characteristics of UGC for social commerce. In view of this, based on S-O-R model, this study constructs a model of consumers' impulsive consumption in the context of social commerce from the characteristics of UGC, with perceived risk as the mediating variable and tie strength as the moderating variable. The results show that content authenticity, content usefulness, and content valence of UGC have significant negative impacts on consumers' risk perception in the process of purchase decision-making, and consumers' perceived risk has a significant negative impact on consumers' impulsive consumption. Meanwhile, the tie strength between UGC producer and UGC receiver plays a moderating role between content usefulness and perceived risk, as well as between perceived risk and impulsive consumption. Finally, combined with the above findings, this study provides effective suggestions for relevant participants in social commerce in terms of business management.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.557-570
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• 2023

The purpose of this study is to develop a digital-based non-face-to-face instructional design model for national public servants. For this purpose, we reviewed the direction of non-face-to-face instructional design based on previous research, and interviewed a total of 10 instructors and learners with experience in non-face-to-face education to identify the success factors of non-face-to-face instructional design for government employees. In addition, to ensure the validity of the instructional design model, a Delphi survey was conducted with experts in instructional design and educational management. As a result, the digital-based instructional design model for national public servants reflects the importance of learning objectives and content design to enhance learning motivation and improve educational effectiveness, and includes detailed implementation plans to support specific and clear performance activities for instructors in non-face-to-face education situations. The instructional design model developed through this study can be expanded as a standard for improving the quality of education in public human resource development, and can be used as a teaching and learning guide according to learner types and characteristics.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.113-120
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• 2016

Technology based would-be entrepreneurs have constantly increased as coming with increasing demands for technology based startup. However, technology based startup need to go through throne field in the preparation and launching process. This paper help technology based would be entrepreneurs recognizing and pivoting all potential fatal flaws covering entrepreneurs to BM with strategies by providing self check-up lists. This paper have developed all check list based upon the previous literature reviews about technology commercialization with carrying Focused Group Interview with mentor and investor involved in the early stage of venture growth. In particular, this paper have applied these tools over 104 participants(would-be entrepreneur and entrepreneurs in the early startup) attending in Hanbat Startup Item Validation Program and Startup Leading University program. This paper developed the mega categories of list as follows: Entrepreneurship, technology and patent, target customer and market, product, BM and strategy. It also developed 17 different concept of components and 58 specific sub-lists under maga list. The research results of paper will provide solid foundation of communication with participants about checking up their state of preparation for startup as applying to mentoring for would-be entrepreneurs and to entrepreneurship education.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.392-407
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• 2018

This study aims to prove the mediating effect of emotion dysregulation and perceived social support in the relationship between covert narcissism on the relation addiction. The researchers surveyed college students for about 3 weeks through a questionnaire on college campus or with the help of their colleagues and professors. The subjects were 362 students. SPSS, AMOS and Mplus were used for statistical analysis, correlation analysis and structural equation analysis. The conclusions are as follows : First, emotion dysregulation, relation addiction and covert narcissism showed positive correlation and covert narcissism, emotion dysregulation, relation addiction and perceived social support showed a significant negative correlation. Second, it was found that after investigating the mediation effect of emotion dysregulation and perceived social support in the influence between covert narcissism and relation addiction, emotion dysregulation turned out to have a significant mediating effect while perceived social support did not. Third, dual mediating effect was significant in emotion dysregulation and perceived social support in the influence between covert narcissism and relation addiction. These findings proved that covert narcissism, emotion dysregulation, perceived social support are variables that effect relation addiction, and also clarified that emotion dysregulation is a strong mediating variable in the influence between covert narcissism and relation addiction. Finally, when counseling a client with the same tendency as covert narcissism, it gives an opportunity to be aware of the emotional problem and an opportunity to positively perceive its own social resources, so as not to reach interpersonal problems such as relationship addiction pointed out the need for an approach.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.8B
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• pp.667-680
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• 2008

In this work, we present the results of our empirical study on 802.11 wireless LAN network traffic. We collect the packet trace from existing campus wireless LAN infra-structure. We analyzed four different data sets: aggregate traffic, upstream traffic, downstream traffic, tcp only packet trace from aggregate traffic. We analyze the time series aspect of underlying traffic (byte count process and packet count process), marginal distribution of time series, and packet size distribution. We found that in all four data sets there exist long-range dependent property in byte count and packet count process. Inter-arrival distribution is well fitted with Pareto distribution. Upstream traffic, i.e. from the user to Internet, exhibits significant difference in its packet size distribution from the rests. Average packet size of upstream traffic is 151.7 byte while average packet size of the rest of the data sets are all greater than 260 bytes. Packets with full data payloads constitutes 3% and 10% in upstream traffic and the downstream traffic, respectively. Despite the significant difference in packet size distribution, all four data sets have similar Hurst values. The Hurst alone does not properly explain the stochastic characteristics of the underlying traffic. We model the underlying traffic using fractional-ARIMA (FARIMA) and fractional Gaussian Noise (FGN). While the fractional Gaussian Noise based method is computationally more efficient, FARIMA exhibits superior performance in accurately modeling the underlying traffic.

• Journal of the Korea Society for Simulation
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• v.25 no.2
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• pp.1-11
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• 2016

The floor field model (hereafter referred to as FFM) is a cellular automata (hereafter referred to as CA)-based walk model used to model pedestrian behavior. Existing studies on FFM conducted experiments with simple structures (that have one room or one obstacle in a room) or relatively complicated structures (that have many rooms). In order to apply the FFM to real buildings, it is necessary to have additional methodologies to process information about the number of rooms, floors, stairs, and exit doors. In particular, it is necessary to process exit doors during this procedure. Exit doors that are recognized by pedestrians are of many types such as exit doors in rooms, stairs connected to corridors, and exit doors in a building. When calculating the static floor field (hereafter referred to as SFF) in the FFM, information about exit doors is needed and simulation results will be different depending on how the SFF is calculated using an exit door among the above-mentioned exit doors. In this study, an XML-format building data model is proposed according to data structures required by the FFM. This study also defines a methodology to process a number of exit doors. Accordingly, this study developed a building data construction and evacuation simulator and simulation experiments were conducted with university campus building.

• Korean Journal of Environment and Ecology
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• v.28 no.4
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• pp.411-418
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• 2014

This study seeks to identify the effects of light pollution and environmental factors on Great Tits(Parus major) bird's chirping at dawn. For this research, the campus of Sanji University, Wonju, South Korea was selected as the area with light pollution and the western forest of the Chiaksan National Park was chosen as the natural area herein. The Recording period was between March 26th and May 30th, 2014. As a result of analyzing the chirping time according to light pollution, it was found that the light pollution area clearly showed earlier chirping time than the natural area (p<0.05). Great Tits(P. major) normally start their first chirping before sunrise and in most of the days under investigation of this research, those in Sanji University started to chirp earlier. This faster chirping time seems to improve the chance for the female birds to mate with immature males thus, baby birds hatch earlier than the appropriate breeding season and results in the lack of feed resources. The correlation between Great Tits'(P. major) dawn chirping and environmental factors were investigated herein including the time of sunrise, civil twilight, navigation twilight, astronomical twilight, average temperature, highest temperature, lowest temperature, time of moonrise and cloudiness. The first chirping time of wild birds in the day was found to have correlations with all of the environmental factors excluding the time of moonrise and cloudiness. Great Tits(P. major) started their first chirping before sunrise when the day started to break around civil twilight. Along with the earlier sunrise and higher air temperature, their dawn chirping time was also quickened. The time of moonrise and cloudiness did not show a correlation and further follow-up studies will be necessary in this regard.

• Journal of the Korean Geographical Society
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• v.45 no.1
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• pp.49-74
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• 2010

Cities are major sources of greenhouse gas emissions but also suitable places for implementing proactive climate mitigation and adaptation strategies. Based on the interdisciplinary review of literature, we categorize the current discussion about urban climate mitigation and adaptation planning, policy and practices into four perspectives - sustainability science, global change science, multilevel governance, and structural engineering. While these four schools of thought have distinct perspectives rooted in different disciplinary lenses, our synthesis of the literature identifies several universal themes that are common to all of the perspectives in the context of combating threats posed by climate change. The Portland case study illustrates that a city can make changes to reduce greenhouse gas emissions and increase adaptive capacity to climate change impacts by implementing smart growth, devising local climate action plans that target emission reductions in various sectors, recognizing the interactions and influences of multiple scales of governance, and supporting the installation of various green infrastructures that contribute to green economy. Furthermore, a university can serve as a hub in this climate mitigation and adaptation arena by connecting various levels of community organizations in both public and private sectors, creating innovative research centers and spatially explicit green infrastructure, designing impact assessments and campus carbon inventories, and engaging students and the larger community through service learning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.8-16
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• 2016

This study presents the visualization of shape information based on Octree using 3D laser scanning. The process of visualization was established to construct the Octree structure from the 3D scan data. The scan data was converted to a 2D surface through the mesh technique and the surface was then converted to a 3D object through the Raster/Vector transformation. The 3D object was transmitted to the Octree Root Node and The shape information was constructed by the recursive partitioning of the Octree Root Node. The test-bed was selected as the steel bridge structure in Sungkyunkwan University. The shape information based on Octree was condensed into 89.3%. In addition, the Octree compressibility was confirmed to compare the shape information of the office building, a computer science campus in Germany and a New College in USA. The basis is created by the visualization of shape information for double-deck tunnel and it will be expected to improve the efficiency of structural health monitoring and maintenance.