• Knowledge Management Research
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• v.17 no.2
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• pp.27-50
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• 2016

Korean manufacturing industry have recently faced the catch-up of China in the mass commodity product, such as automotive, display, and smart phone in terms of market as well as technology. Accordingly, discussion on the importance of achieving catch-up in complex product systems (CoPS) has been increasing as a new innovation engine for the industry. In order to achieve successful catch-up of CoPS, we explored emerging technologies of CoPS, which are featured by the characteristics of radical novelty, relatively fast growth and self-sustaining, through the study of emerging technologies of gas turbine for power generation. We found that emerging technologies of the gas turbine are technologies for combustion nozzle and composition of electrical machine for increasing power efficiency, washing technology for particulate matter, cast and material processing technology for enhancing durability from fatigue, cooling technologies from extremely high temperature, interconnection operation technology between renewable energy and the gas turbine for flexibility in power generation, and big data technology for remote monitoring and diagnosis of the gas turbine. We also found that those emerging technologies resulted in technological progress of the gas turbine by converging with other conventional technologies in the gas turbine. It indicates that emerging technologies in CoPS can be appeared on various technological knowledge fields and have complementary relationship with conventional technologies for technology progress of CoPS. It also implies that latecomers need to pursue integrated learning that includes emerging technologies as well as conventional technologies rather than independent learning related to emerging technologies for successful catch-up of CoPS. Our findings provide an important initial theoretical ground for investigating the emerging technologies and their characteristics in CoPS as well as recognizing knowledge management strategy for successful catch-up of latecomers. Our findings also contribute to the policy development of the CoPS from the perspective of innovation strategy and knowledge management.

• Informatization Policy
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• v.29 no.4
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• pp.43-66
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• 2022

With the development of artificial intelligence technology, competition for artificial intelligence technology patents around the world is intensifying. During the period 2000 ~ 2021, artificial intelligence technology patent applications at the US Patent and Trademark Office have been steadily increasing, and the growth rate has been steeper since the 2010s. As a result of analyzing Korea's artificial intelligence technology competitiveness through patent indices, it is evaluated that patent activity, impact, and marketability are superior in areas such as auditory intelligence and visual intelligence. However, compared to other countries, overall Korea's artificial intelligence technology patents are good in terms of activity and marketability, but somewhat inferior in technological impact. While noise canceling and voice recognition have recently decreased as topics for artificial intelligence, growth is expected in areas such as model learning optimization, smart sensors, and autonomous driving. In the case of Korea, efforts are required as there is a slight lack of patent applications in areas such as fraud detection/security and medical vision learning.

• Journal of Korean Library and Information Science Society
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• v.46 no.4
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• pp.1-20
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• 2015

The goal of this study is to propose the contribution strategies of public library as cultural infrastructure to local cultural development in Korea. For this goal, researcher evaluated how public libraries contribute to the local cultural development in terms of interdependence of public library and local culture. Then, the researcher divided into the local culture to knowledge culture, reading culture, learning culture, living culture, and leisure culture, and suggested six contribution strategies(improving core competencies including the collection development and user service, strengthening education and support for digital information literacy, reading promotion and base expansion for everyday life, optimization of lifelong learning & culture program services, increasing openness and friendliness of the facilities and space, expansion of cooperation with relevant agencies) of public library for their development and promotion.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.976-990
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• 2020

The k-means algorithm is widely used in academia and industry due to easy and simple implementation, enabling fast learning for complex datasets. However, k-means struggles to classify datasets without prior knowledge of specific domains. We proposed the repulsive k-means (RK-means) algorithm in a previous study to improve the k-means algorithm, using the repulsive force concept, which allows deleting unnecessary cluster centroids. Accordingly, the RK-means enables to classifying of a dataset without domain knowledge. However, three main problems remain. The RK-means algorithm includes a cluster repulsive force offset, for clusters confined in other clusters, which can cause cluster locking; we were unable to prove RK-means provided optimal convergence in the previous study; and RK-means shown better performance only normalize term and weight. Therefore, this paper proposes the advanced RK-means (ARK-means) algorithm to resolve the RK-means problems. We establish an initialization strategy for deploying cluster centroids and define a metric for the ARK-means algorithm. Finally, we redefine the mass and normalize terms to close to the general dataset. We show ARK-means feasibility experimentally using blob and iris datasets. Experiment results verify the proposed ARK-means algorithm provides better performance than k-means, k'-means, and RK-means.

• Journal of The Korean Association of Information Education
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• v.10 no.3
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• pp.307-314
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• 2006

The purpose of the paper was to investigate the relationship between the social familiarity and learners' participation and performance in terms of individual performance and team performance. In addition, experimental groups were split into two groups, depending on the level of social familiarity. The result showed that the social familiarity had positive correlational relations with the learners' participation, individual performance, and team performance. Additionally the group that showed high level of social familiarity had outperformed the others that showed low level of social familiarity. Some suggestions such that the importance of instructional strategy, which increase the social familiarity in web-based team learning environment were made.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.3
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• pp.27-35
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• 2023

Purpose - The present study bridges a significant gap in the literature by investigating the complex relationship between job crafting and protean career attitudes. It has been demonstrated that job crafting, which entails the proactive redesign of work roles, responsibilities, and relationships, empowers employees, and elevates. Research design, data, and methodology - This study employed a tailored search approach with specific terms linked to job crafting and protean career attitudes to ensure a thorough and focused analysis. The keywords include "Job crafting," "protean career attitudes," "career development," and related terms. This strategy uses an organized method to identify, screen, and choose appropriate studies. Result: This study synthesizes prior studies and identifies four critical links between the development of jobs and protean career attitudes. To begin with, task crafting, which entails job requirements and scope modifications, leads to protean career attitudes as employees match their roles to their skills and passions. Second, rational crafting, which is adjusting interactions with coworkers and superiors encourages flexible career attitudes. Conclusion - This study insists that organizations must consider the essential practical ramifications. Employers may improve employee growth, engagement, and talent retention by encouraging job customization, recognizing protean workers, cultivating a protean culture, investing in ongoing learning.

• Journal of Korean Academy of Nursing Administration
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• v.9 no.2
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• pp.283-295
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• 2003

This study describes the development of nursing education program on web-based instruction for Nursing Management Practice of nursing school. The program has been developed based on five steps of the teaching-learning design model developed by Chung, In-Sung which is widely used in Web-Based Instruction(WBI). The objective of this study was to develop nursing education program on WEI and to evaluate its effectiveness. The subjects consisted of twenty-four senior nursing students taking the Nursing Management Practice course. Two sets of questionnaires were used for this study. They were asked to evaluate the program in terms of appropriateness of the teaching strategy, precision of the contents, easiness of use, easiness of approaching system, interface design, system management, enhancement of communication, and effectiveness of learning. The program was developed in five steps, analysis of the student, design of the contents, production of the system, implementation of the system, and evaluation of the effectiveness. It is concluded that this program was very useful in increasing the effectiveness of learning and motivation in the students. In addition to this, the web-based learning system would be one of the best qualified educational method for nursing students. Therefore, I would suggest that it can be used for other nursing courses which is available on the Web.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.835-838
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• 2016

Background: Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (nearly one cancer death in five), because of the high case fatality. Errors in lung cancer type or malignant growth determination lead to degraded treatment efficacy, because anticancer strategy depends on tumor morphology. Materials and Methods: We have made an attempt to evaluate effectiveness of machine learning algorithms in the task of lung cancer classification based on gene expression levels. We processed four publicly available data sets. The Dana-Farber Cancer Institute data set contains 203 samples and the task was to classify four cancer types and sound tissue samples. With the University of Michigan data set of 96 samples, the task was to execute a binary classification of adenocarcinoma and non-neoplastic tissues. The University of Toronto data set contains 39 samples and the task was to detect recurrence, while with the Brigham and Women's Hospital data set of 181 samples it was to make a binary classification of malignant pleural mesothelioma and adenocarcinoma. We used the k-nearest neighbor algorithm (k=1, k=5, k=10), naive Bayes classifier with assumption of both a normal distribution of attributes and a distribution through histograms, support vector machine and C4.5 decision tree. Effectiveness of machine learning algorithms was evaluated with the Matthews correlation coefficient. Results: The support vector machine method showed best results among data sets from the Dana-Farber Cancer Institute and Brigham and Women's Hospital. All algorithms with the exception of the C4.5 decision tree showed maximum potential effectiveness in the University of Michigan data set. However, the C4.5 decision tree showed best results for the University of Toronto data set. Conclusions: Machine learning algorithms can be used for lung cancer morphology classification and similar tasks based on gene expression level evaluation.

• Journal of The Korean Association For Science Education
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• v.4 no.2
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• pp.64-73
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• 1984

This study aimed at identifying the characteristics of current science curriculum in several countries in terms of its format, aims and objectives, contents and guidelines and discussed about therm. The curricula were collected from 9 countries- The United States of America(5 states), Canada(4 Provinces), England, West Germany, France, Australia, Newzealand, Japan and the republic of China. Each country had her own characteristics of science curriculum, but there also common characteristics among several countries. First, the format of science curricula in eastern countries were very different from those of western countries. The western countries had the curriculum format which included characteristics and needs of science education, philosophy and background, aims and objectives, contents, characteristics of learners, teaching and learning strategy, teaching materials, guide of experiments, evaluation methods, and other concrete informations while eastern countries had the curriculum format which included only objectives, contents and guidelines. I think that the format of science curriculum in western countries is more recommendable than that of eastern countries. Second, the aims and objectives of science curricula in eastern countries focused on scientific knowledges and concepts, while those of countries emphasized scientific methods and attitudes. Third, the contents of science curricula were very similar regardless of eastern countries or western countries. In other words, all the countries in this study emphasized life science and earth science at lower grade level and physical science at upper grade level. Especially the observation and concrete learning activities were suggested at lower grade level and logical reasoning was emphasized at upper grade level. I think that the integrated (topic-centered) science curriculum is more recommendable than our current non-integrated science curriculum in lower grade levels. Finally, the guidelines of science curriculum in eastern countries did not suggest specific information about teaching contents, experimental methods, teaching-learning activities, evaluation methods, teaching and learning meterals, while those of western countries provided more specific information which teachers could utilize very effectively.

• Journal of Technology Innovation
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• v.8 no.1
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• pp.1-30
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• 2000

This paper compares technology foresight activities of Japan, Germany, Britain, France, Australia, and the Netherlands with those of Korea in terms of their motives and purposes, procedures and methods, and utilization of foresight results. From the comparison, it has been found that although the foresight programs were started from similar motives and purposes, different approaches were adopted from one another depending on the characteristics of national innovation systems, national S&T policy directions, and level of science and technology capabilities of the countries. On the basis of the lessons drawn from our study, some recommendations are made for future foresight activities in Korea: clarifying purposes of foresight activities, preparing utilization strategy at the planning stage, promoting participants' learning and methodological elaboration, and so forth. Implications for policy makers are also discussed.