• Informatization Policy
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• v.23 no.1
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• pp.74-93
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• 2016

This paper proposes Korean national science and ICT policies in artificial intelligence (AI) field. After analyzing the AI trends in major countries as an initiative for global competitiveness, we suggest for new solutions for nutcracker threats and provide policy recommendations for strengthening competitiveness and commercialization in AI field of Korea. Korea's AI status was diagnosed in the order of governance, research and development (R&D), technology commercialization, law and legislation, and human resources strategy. In conclusion, it proposes improvement of governance, procession of long term future market initiative R&D, development of AI commercialization platforms, preparation of research friendly law and environment, and the nurturing of practical and converging human resources system.

• Korean Journal of Child Studies
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• v.20 no.3
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• pp.139-151
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• 1999

This study examined the factor structure of social competence and the relationship between social competence and emotional intelligence in preschool children. The subjects were 503 3- to 6-year-old children. Instruments were the Emotional Intelligence Rating Scale for Preschool Children and The Social Competence Scale. The validity and reliability of the factor structures of The Social Competence Scale were confirmed. These factors were initiative, ability, and sociability. The relationship between The Social Competence Scale and the emotional intelligence scale was highly significant (r=.29, p<.001). Three sub-factors of The Social Competence Scale were significantly related to the total emotional intelligence score. Among the six sub-factors of emotional intelligence, 5 were related to the total score of social competence. These were utilization of emotion, empathy, appraisal and expression of self emotion, relationship with teacher, and relationship with peers.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.51-59
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• 2017

The role of government is to defend its lands and people from enemies. The range of that defense has now extended into the cyber domain, regarded as the fourth domain of the conventional defense domains (i.e., land, sea, sky, and universe). Traditionally, a government's intelligence power overrides that of its civilians, and government is exclusively responsible for defense. However, it is difficult for government to take the initiative to defend in the cyber domain because civilians already have a greater means for collecting information, which is known as being "intelligence inverse" in the cyber domain. To this end, we first define the intelligence inverse phenomenon and then analyze its main features. Then we investigate foreign countries' efforts to overcome the phenomenon and look at the current domestic situation. Based on these results, we describe the appropriate role of the National Intelligence Agency to handle cyber threats and offer a cyber threat intelligence model to share with civilians to help protect against these threats. Using the proposed model, we propose that the National Intelligence Agency should establish a base system that will respond to cyber threats more effectively.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1053-1056
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• 2004

Research in Human Computer Interface (HCI) is towards development of an application environment able to deal with interactions of both human and computers that can be more intuitive and efficient. This can be achieved by bridging the gap between the synthetic virtual environment and the natural physical environment. Thus a project called Tangible Space Initiative (TSI) has been launched by KIST. TSI is subdivided into Tangible Interface (TI) which controls 3D cyber space with user's perspective, Responsive Cyber Space (RCS) which creates and controls the virtual environment and Tangible Agent (TA) which senses and acts upon the physical interface environment on behalf of any components of TSI or the user. This paper is a brief introduction to a new generation of Human Computer Interface that bring user to a new era of interaction with computers in the future.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.149-156
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• 2021

This study was conducted to confirm the influence of interpersonal disposition and emotional intelligence on interpersonal competence of allied health college students. For the research, a questionaire survey was conducted for students enrolled in the Department of Nursing and Physical Therapy from November 29 to December 16, 2019 and a total of 275 data were collected. Data were analyzed by t-test, ANOVA, correlation analysis, and multiple regression analysis using SPSS program. As results of the study, the average of interpersonal competence was 4.10 and that of thoughtfulness-unconsideration was the highest among the eight interpersonal types and the average emotional intelligence was 2.73. The interpersonal dispositions that had a significant effect on interpersonal competence were initiative-congruence and aggression-non aggression and their explanatory power was 29.4% and the most influential interpersonal disposition was initiative-congruence. Emotional intelligence that had a significant effect on interpersonal competence were self-emotional expression, control of others and motivation and their explanatory power was 24.0% and the most influential emotional intelligence was motivation.

• Journal of Information Technology Applications and Management
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• v.21 no.3
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• pp.65-77
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• 2014

Ubiquitous learning has aroused great interest and is becoming a new way for foreign language education in today's society. However, how to increase the learners' initiative and their community cohesion is still an issue that deserves more profound research and studies. Emotional intelligence can help to detect the learner's emotional reactions online, and therefore stimulate his interest and the willingness to participate by adjusting teaching skills and creating fun experiences in learning. This is, actually the new concept of smart education. Based on the previous research, this paper concluded a neural mechanism model for analyzing the learners' emotional characteristics in ubiquitous environment, and discussed the intelligent monitoring and automatic recognition of emotions from the learners' speech signals as well as their behavior data by multi-agent system. Finally, a framework of emotional intelligence system was proposed concerning the smart foreign language education in ubiquitous learning.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.178-190
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• 2021

Alzheimer's disease (AD) is an insidious and degenerative neurological disease. It is a new topic for AD patients to use magnetic resonance imaging (MRI) and computer technology and is gradually explored at present. Preprocessing and correlation analysis on MRI data are firstly made in this paper. Then kernel principal component analysis (KPCA) is used to extract features of brain gray matter images. Finally supervised classification schemes such as AdaBoost algorithm and support vector machine algorithm are used to classify the above features. Experimental results by means of AD program Alzheimer's Disease Neuroimaging Initiative (ADNI) database which contains brain structural MRI (sMRI) of 116 AD patients, 116 patients with mild cognitive impairment, and 117 normal controls show that the proposed method can effectively assist the diagnosis and analysis of AD. Compared with principal component analysis (PCA) method, all classification results on KPCA are improved by 2%-6% among which the best result can reach 84%. It indicates that KPCA algorithm for feature extraction is more abundant and complete than PCA.

• Asian Journal for Public Opinion Research
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• v.4 no.4
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• pp.246-259
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• 2017

The purpose of this study is to evaluate the effects of critical friends on self-esteem and the academic oral presentation ability of undergraduate students. A pretest was conducted in the first week of the semester. A pre-academic oral presentation preparation was held from the second week to the seventh week and followed by pedagogical speech activities from the eighth week to the eleventh week. The research instruments are Academic oral presentation behavior and self-esteem evaluation forms. The samples were 37 third year undergraduate students, who were purposively selected from the educational technology class at the Chulalongkorn University. The statistics used for analyzing quantitative data are frequencies, means, standard deviations, one sample t-tests, and Pearson's Product-Moment Correlations. It was found that the 37 third year undergraduate teacher students had higher self-esteem at the statistically significant level of .05 and academic oral presentation scores after the activity were statistically significant at the .05 level.

• Journal of Communications and Networks
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• v.13 no.6
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• pp.591-601
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• 2011

Today's Internet which provides communication channels with best-effort end-to-end performance is rapidly evolving into an autonomic global computing platform. Achieving autonomicity in the Future Internet will require a performance architecture that (a) allows users to request and own 'slices' of geographically-distributed host and network resources, (b) measures and monitors end-to-end host and network status, (c) enables analysis of the measurements within expert systems, and (d) provides performance intelligence in a timely manner for application adaptations to improve performance and scalability. We describe the requirements and design of one such "Future Internet performance architecture" (FIPA), and present our reference implementation of FIPA called 'OnTimeMeasure.' OnTimeMeasure comprises of several measurement-related services that can interact with each other and with existing measurement frameworks to enable performance intelligence. We also explain our OnTimeMeasure deployment in the global environment for network innovations (GENI) infrastructure collaborative research initiative to build a sliceable Future Internet. Further, we present an applicationad-aptation case study in GENI that uses OnTimeMeasure-enabled performance intelligence in the context of dynamic resource allocation within thin-client based virtual desktop clouds. We show how a virtual desktop cloud provider in the Future Internet can use the performance intelligence to increase cloud scalability, while simultaneously delivering satisfactory user quality-of-experience.

• Journal of The Korean Association of Information Education
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• v.12 no.3
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• pp.355-363
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• 2008

In order to enhance the effect of Problem-based Learning, the role of scaffold as a learning support strategy is necessary. Collective intelligence provides scaffolding in the sense that it integrates users' knowledge, information, experiences, values, etc. Based on these factors, collective intelligence determines the direction of behavior, revises the direction continuously, and provides problem-solving methods. Teaching and learning situations emphasize learners' initiative, voluntary, and active participation. Thus, this study was conducted to find out if collective intelligence can be an effective and attractive alternative of learning strategy. Specifically, this study purposed to examine how collective intelligence performs the role of scaffold on the Web and what types of scaffolding are provided to learners. According to the results of this study, collective intelligence had a positive effect on learners' learning attitude, confidence, interest, etc. in the affective aspect, but its effect on the cognitive aspect was different according to learners' school year and learning level. Because collective intelligence had a positive effect on learners, we identified scaffolding types explanation, suggestion of direction, illustration and feedback in the cognitive aspect, and positive response and encouragement in the affective aspect.