• International Journal of Knowledge Content Development & Technology
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• v.8 no.4
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• pp.33-53
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• 2018

Since business startups are known to have positive effects on the economic growth of a country, it is necessary to review the factors influencing the willingness to start new businesses for the people to act on business startups. In this regard, the study sought to reexamine the findings of previous research showing that the innovative, initiative, and risk-taking characteristics, which are the constitutive elements of entrepreneurships, influence the willingness to start up. Furthermore, in this study, attempts were made to empirically analyze the direct and indirect relationships of self-leadership influencing the willingness to start new businesses. Consequently, first, it showed that college students' entrepreneurship has positive effects on the willingness to start new businesses. Second, the significance of the gender of college students was not confirmed as to playing a regulating role in the relationship between entrepreneurship and the willingness to start up. Third, the relationship between self-leadership and the willingness to start new businesses was validated to be significant in a positive direction. Fourth, no mediating effect of self-leadership in the relationship between entrepreneurship and the willingness to start new businesses was observed. Such research results have the following significances. First, while there is an awareness that the concepts of business start- up, entrepreneurship, and leadership carry masculinity, the lack of regulating effect of gender may reflect the changing phases of time and society where women's participation has been increasing. Second, self-leadership is a concept by which one pioneers his or her own life and an influencing factor on the willingness to start up; however, since it has enormous impacts on the entrepreneurship and willingness to start up, relevant mediating effects were not observed and the magnitude of the important influence between entrepreneurship and the willingness to start up were confirmed.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.1-13
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• 2019

This study examined the effect of digital technologies on adolescent mental health; attention deficit, aggression, depression. Furthermore, we investigated the role of parenting style and peer attachment as they might have effects on digital technologies. Using two-wave longitudinal data, we conducted longitudinal analysis from the Korean Children and Youth Panel Survey done in 2015 and 2016. Results showed that computer and internet usage for learning purpose has a positive effect on mental health, while computer games and social media have negative effects. Also, the positive effects of learning on depression indicated stronger in adolescents who felt less affection from their parents. On the other hand, the negative effects of computer games and social media could be moderated by both parenting style and peer attachment. Implications of these results and directions for future research are discussed.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.451-456
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• 2019

Our students are shocked by the results that there is an inverse proportion between academic achievement and life satisfaction. Recently, the Organization for Economic Cooperation and Development (OECD) published the PISA 2015 Student Well-Being Report. According to the report, Korean students' education is the highest among OECD countries, but their life satisfaction is the 47th ranked among the 48 OECD and non-OECD countries.[1] This is the cause of the unilateral education using collective achievement in evaluation methods. Therefore, I propose a personalized integrated model utilizing block chain technology. I suggest a personalized education and evaluation system model using selective education and personal approval rather than from teachers' unilateral education. This will no longer open the student's achievement grade system to the public. This change will be accomplished utilizing block chain technology. This technology is characterized by security, transparency and dispersion. The result of this work can be used to improve students' quality of living through a management system of personalized education and evaluation, based on the nature of education.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3101-3116
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• 2018

The objective of this study is to find out the direction and strategies of dynamic capacity utilization for the strategic supply chain management (SCM), which is an innovative means for enhancing the efficiency of the firm, and to create an optimal management environment for the competitiveness of firms. The market and technology will be able to generate higher business performance when adapting the strategic direction and culture to the formal dynamic capacities possessed by the firm and reflecting the technology related to the dynamic capacities for the strategic SCM in the process. In this study, we empirically analyze the effect of market and technology orientations on the firm performance and how dynamic capacities affects firm performance. The results of this study show that market and technology orientations have positive effects on dynamic capacities and dynamic capacities have positive effect on firm performance. In addition, it is proved that dynamic capacities mediated the relationship between market orientation, technology orientation, and firm performance.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.131-139
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• 2021

It can be said that smart factory is the most prominent area in the fourth industrial revolution. Developing processes or algorithms required for smart factory requires data values from smart factory, but there are many real challenges in obtaining such data. Therefore, this study developed a data generator that can more realistically simulate data from different processes in smart factory to help research on smart factory. In addition, functions such as setting presets and intuitive UI configurations were developed for the convenience of data creators. This data generator will help you simulate smart factory environments by providing more realistic data easily and simply when you create the different systems needed for smart factory environments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.1-6
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• 2020

Road movement pollutant air environment big data is a link between real-time traffic data such as vehicle type, speed, and load using AVC, VDS, WIM, and DTG, which are always traffic volume survey equipment, and road shape (uphill, downhill, turning section) data using GIS. It consists of traffic flow data. Also, unlike general data, a lot of data per unit time is generated and has various formats. In particular, since about 7.4 million cases/hour or more of large-scale real-time data collected as detailed traffic flow information are collected, stored and processed, a system that can efficiently process data is required. Therefore, in this study, an open source-based data parallel processing performance optimization study is conducted for the visualization of big data in the air environment of road transport pollution.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1602-1608
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• 2019

In this study, we developed a "Zetton Children's Traffic Safety Education" application using mixed reality to help children experience a variety of traffic situations indirectly and to help them defend themselves from accidents. We analyze the types of high mortality child traffic accidents to set learning goal. And we developed the experience-oriented contents that players could acquire signal systems and traffic information naturally and funny in the course of playing scenarios according to designed various traffic situations. In order to verify the educational effectiveness of the developed application, children were given traffic safety education through after-school education activities. The result shows that the frequency of right answers to questions related to traffic safety awareness and learning objectives is increased.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.50-56
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• 2020

With the rapid development of deep neural network theory and application research, the effect of face detection has been improved. However, due to the complexity of deep neural network calculation and the high complexity of the detection environment, how to detect face quickly and accurately becomes the main problem. This paper is based on the relatively simple model of the MTCNN model, using FDDB (Face Detection Dataset and Benchmark Homepage), LFW (Field Label Face) and FaceScrub public datasets as training samples. At the same time of sorting out and introducing MTCNN(Multi-Task Cascaded Convolutional Neural Network) model, it explores how to improve training speed and Increase performance at the same time. In this paper, the dynamic image pyramid technology is used to replace the traditional image pyramid technology to segment samples, and OHEM (the online hard example mine) function in MTCNN model is deleted in training, so as to improve the training speed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.691-700
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• 2021

The IP cameras have rapidly replaced the analog CCTVs as the cameras have the advantages of not only being able to remotely monitor, but also supplying power through the UTP cable, In this paper, we introduce the protocol architecture of the ONVIF standard which is widely applied to the IP camera and other Internet protocols to support it, and implement the ONVIF Device on a commercial board. Although these functions can be controlled by the Client (PC), several functions such as privacy masks, temperature display of the thermal camera, and ROI (Region of Interest) are implemented through a web viewer on the device. Through the experiment, the functions of ONVIF Profile S and web viewer are verified through SOAP messages exchanged between Device (IP camera) and Client program and streamed images.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.44-49
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• 2020

Recently, one of the major issues of shipbuilding and marine is the reduction of air and marine pollution emission to ships. In response, the International Maritime Organization (IMO) has concluded an international convention (MARPOL) to prevent pollution from ships. A Annex Six of The Convention restricts and regulates air and marine pollution of ship from exhausting gases. To this end, it is required to apply EEDI (Energy Efficiency Design Indicators) to the construction of new ships, and to minimize the emission of environmental pollutants by recommending the application of EEOI (Energy Efficiency Operation Indicators) to operational ships. Therefore, in this study, we propose to calculate the grade of operating efficiency (EG) of ships based on actual operational data for transport ships and to provide energy-efficient optimal path search information through analysis of marine environment data.