• Journal of the Health Care and Life Science
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• v.10 no.2
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• pp.329-339
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• 2022

The purpose of this study is to examine the experiences of new teachers in the process of preparing and implementing the 2019 revised Nuri curriculum, and to find ways to support novice teachers. For these, Data were collected through telephone interviews with 12 first-time teachers with less than 2 years of experience at private kindergartens and daycare centers in Chungnam and Daejeon, and the collected data was analyzed through text network analysis. The results are as follows. First, teachers were worried that they did not know the details of the curriculum while preparing for the 2019 revised Nuri curriculum. To supplement this, they were preparing to observe infants, share information with fellow teachers, and refer to the Nuri curriculum commentary. Also, teachers thought that they were getting help in terms of indirectly experiencing actual play cases through training. Second, the first-time teachers were providing various support by focusing on children's play while implementing the Nuri curriculum. The teachers emphasized that the good point of implementing the Nuri curriculum is that children's interests and thoughts are taken into consideration, and that children-centered play can be carried out, and that the teachers can support children's play while thinking about it. And teachers mentioned the difficulties of reading children's thoughts in children's play, grasping the topic and proceeding with the play, and the lack of time to play. In addition, starting teachers were referring to internet resources and sharing opinions with fellow teachers, and mentioned that direct experience helped them to implement the play. Lastly, teachers' interest in and observation of play, creative thinking, quickness, and willingness to support play were considered important as the competency required for teachers.

• Knowledge Management Research
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• v.23 no.4
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• pp.315-338
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• 2022

In 1986, Korea established legal systems to support small and medium-sized start-ups, which becomes the main pillars of national development. The legal systems have stimulated start-up ecosystems to have more than 1 million new start-up companies founded every year during the past 30 years. To analyze the trend of Korea's start-up ecosystem, in this study, we collected 1.18 million news articles from 1991 to 2020. Then, we extracted news articles that have the keywords "start-up", "venture", and "start-up". We employed network analysis and topic modeling to analyze collected news articles. Our analysis can contribute to analyzing the government policy direction shown in the history of start-up support policy. Specifically, our analysis identifies the dynamic characteristics of government influenced by external environmental factors (e.g., society, economy, and culture). The results of our analysis suggest that the start-up ecosystems in Korea have changed and developed mainly by the government policies for corporation governance, industrial development planning, deregulation, and economic prosperity plan. Our frequency keyword analysis contributes to understanding entrepreneurial productivity attributed to activities among the networked components in industrial ecosystems. Our analyses and results provide practitioners and researchers with practical and academic implications that can help to establish dedicated support policies through forecast tasks of the economic environment surrounding the start-ups. Korean entrepreneurial productivity has been empowered by growing numbers of large companies in the mobile phone industry. The spectrum of large companies incorporates content startups, platform providers, online shopping malls, and youth-oriented start-ups. In addition, economic situational factors contribute to the growth of Korean entrepreneurial productivity the economic, which are related to the global expansions of the mobile industry, and government efforts to foster start-ups. Our research is methodologically implicative. We employ natural language processes for 30 years of media articles, which enables more rigorous analysis compared to the existing studies which only observe changes in government and policy based on a qualitative manner.

• International Journal of Contents
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• v.10 no.4
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• pp.38-47
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• 2014

Recently, with the development of technology, social network service (SNS) has become a hot topic. Lots of companies are now making online marketing strategy to promote their products and brand identities using SNS. Through these strategies, companies can produce more profit as well as make better brand images by performing online public relations. Among the SNSs, Facebook has a lot of users, it has been regarded by companies as a suitable platform with respect to online marketing for latent customers. The companies of today typically have at least one account and a Facebook page, and constantly make relationships with customers. However, companies have been thoughtless in this process, and usually provide information to customers through one-way communication. Based on this phenomenon, a study was conducted herein on how to use Facebook pages for promoting products and brand identities, keeping good relationships between companies and customers. This study assumed that the types of interaction on Facebook pages and user involvement are the key factors affecting decision making of purchase. Four types of Facebook pages which were made virtually were used in analysis with 56 participants who were selected for the experiment. The results indicated partial verification of the hypothesis. Particularly, product involvement had an effect on decision making of purchase in all conditions. According to these results, it can be explained that there are close relationships between the psychological status of online behaviors and Facebook corporate pages. In addition, through linear tendency of this phenomenon, this can infer how to setup a positive relationship with latent customers and make improve brand images of products.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2004.11a
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• pp.371-374
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• 2004

Induction motors are a critical component of many industrial processes and are frequently integrated in commercially available equipment. Safety, reliability, efficiency, and performance are some of the major concerns of induction motor applications. Preventive maintenance of induction motors has been a topic great interest to industry because of their wide range application of industry. Since the use of mechanical sensors, such as vibration probes, strain gauges, and accelerometers is often impractical, the motor current signature analysis (MACA) techniques have gained murk popularity as diagnostic tool. Fault tolerant control (FTC) strives to make the system stable and retain acceptable performance under the system faults. All present FTC method can be classified into two groups. The first group is based on fault detection and diagnostics (FDD). The second group is independent of FDD and includes methods such as integrity control, reliable stabilization and simultaneous stabilization. This paper presents the fundamental FDD-based FTC methods, which are capable of on-line detection and diagnose of the induction motors. Therefore, our group has developed the embedded distributed fault tolerant and fault diagnosis system for industrial motor. This paper presents its architecture. These mechanisms are based on two 32-bit DSPs and each TMS320F2407 DSP module is checking stator current, voltage, temperatures, vibration and speed of the motor. The DSPs share information from each sensor or DSP through DPRAM with hardware implemented semaphore. And it communicates the motor status through field bus (CAN, RS485). From the designed system, we get primitive sensors data for the case of normal condition and two abnormal conditions of 3 phase induction motor control system is implemented. This paper is the first step to drive multi-motors with serial communication which can satisfy the real time operation using CAN protocol.

• Journal of Technology Innovation
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• v.24 no.4
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• pp.249-275
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• 2016

For the past 50 years, innovation field has gone through an evolution. The range of research topics on innovation has expanded and diversified, along with a quantitative increase. In a multi-disciplinary field like innovation, to explore new topics and understand research trends, it is necessary to possess a comprehensive understanding regarding the current status of, and trends in, the research. In this study, the research trend in innovation studies from 2000 to 2015 was analyzed in a holistic perspective. For this, a novel technique, text mining was used. The result shows that innovation studies has focused on the traditional and emerging topics. Also, the differentiations has appeared in some of the traditional topics. This study provides not only an understanding of research dynamics, but also an opportunity to gain insights into the evolution of a new paradigm from an academic perspective.

• Journal of the Korean association of regional geographers
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• v.14 no.6
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• pp.767-780
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• 2008

In this study, the structure and management of social group with each town, leadership with self-action and network with external organizations will be the main topic. Especially, the condition which make a communication with external organizations for localization is examined as an example of Mori village. As rice productivity has more serious problems than 1990s, many farming systems changed from rice productions to different kinds, like grapes. Particularly, this market and field started with the exchange system between local farms and cities because of the complex structure of grape circulation and increasing import for extra income. Extra income of farming is started to increase because of exchange program between local towns and cities. But, those works are concentrated on one or two leaders. It could be a burden for them. So. we need to change this into new system which the work is not concentrated to few leaders but distribute to everyone.

• Journal of Advanced Navigation Technology
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• v.24 no.2
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• pp.155-162
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• 2020

Recently, with the development of computer vision and deep learning technology, research on human action recognition has been actively conducted for video analysis, video surveillance, interactive multimedia, and human machine interaction applications. Diverse techniques have been introduced for human action understanding and classification by many researchers using RGB image, depth image, skeleton and inertial data. However, skeleton-based action discrimination is still a challenging research topic for human machine-interaction. In this paper, we propose an end-to-end skeleton joints mapping of action for generating spatio-temporal image so-called dynamic image. Then, an efficient deep convolution neural network is devised to perform the classification among the action classes. We use publicly accessible UTD-MHAD skeleton dataset for evaluating the performance of the proposed method. As a result of the experiment, the proposed system shows better performance than the existing methods with high accuracy of 97.45%.

• Informatization Policy
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• v.22 no.3
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• pp.3-15
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• 2015

This study aims to examine the recent trend of domestic researches on the Internet of Things(IoT) which has drawn a lot of attention in the field of ICT. This meta-analysis analyzes 101 studies published in academic journals from 2010, focusing on research topics, methods and the fields of study. The results show that the research topics of most used studies were related to the technological and industrial issues, and especially in the technical field, the major topic was suggesting new IoT technology. The most research method was testing research followed by the literature review. Even though engineers are holding the mainstream of the IoT technology, some experts in the field of social science release their articles nowadays. These results indicate that the IoT has a great ripple effect both technologically and socioculturally, and researches need to be vitalized in the fields of industry, service, policy and institution as well as technological fields. In addition, the research for the future should extend methodological diversity and take more convergence approaches in a variety of fields.

• Journal of Korean Academy of Nursing
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• v.9 no.2
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• pp.1-6
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• 1979

The topic I have chosen for presentation to you today is entitled, the theory of change in nursing practice or to put it into simpler words. How do new ideas in nursing get started - Where do they come from\ulcorner - How are these ideas spread through the social system of nurses\ulcorner - What makes some Directors of Nursing more ready to accept change than others\ulcorner What factors in-fluence than to introduce change\ulcorner The process of change has been the subject of considerable research in such diverse disciplines and fields as anthropology and rural sociology, marketing and, also, education, for many years. The studies are called“diffusion”studies, or sometimes“adoption”studies, or“adoption of innovation”studies. They deal specifically with the transmission of innovations to members of a social system, and are considered a subset of research in the general field of communication, Although a number of studies have been undertaken in medicine, and, in the past decade, numerous ones in education, there have been few studies on the process of change in nursing. Yet, nursing has undergone tremendous changes in the past 10 years - the nursing process has been introduced, there is the expanded role of the nurse which is rapidly becoming a regular mode of practice - and many, many more changes, We seem to be always running to try. to keep up with changes that have already taken place. Yet little is known about known about the process of change itself - how practitioners learn about new ideas and techniques, or about the factors which influence nurses to accept some changes and reject others. The purpose of the study I am about. to describe was to analyze the process of change as it functioned in regard to nursing innovations in a selected segment of Canadian hospitals, and to relate the analysis to general research and theory about information transmission and the acceptance of change. Three aspects of the process were investigated : 1. The flow of information about changes in nursing practice through a network of hospitals. 2. Factors influencing the adoption of changes in nursing practice. 3. Factors influencing delay in the adoption process, the rejection of changes, or their discontinuance following adoption.

• International Journal of Highway Engineering
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• v.12 no.4
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• pp.11-16
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• 2010

Various researches have been performed on the topic of pedestrian traffic flow. At the beginning, the modeling and simulation method for the vehicular traffic flow was simply applied to pedestrian traffic flow. Recently, CA based simulation models are frequently applied to pedestrian flow analysis. Initially, the square Lattice Model is a base model for applying to pedestrians of counterflow and then Hexagonal Lattice Model improves its network as a hexagonal cell for more realistic movement of the avoidance of pedestrian conflicts. However these lattice models express only one directional movement because they express only one directional movement. In this paper, MLPM (the Multi-Layer Pedestrian Model) is suggested to give various origins and destinations for more realistic pedestrian motion in some place.