• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.147-161
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• 2022

The purpose of the study was to investigate mothers' beliefs and executions in the social relations area of the 2019 revised Nuri curriculum, and to investigate the effects of beliefs and executions on the emotional intelligence and prosocial behavior of young children. For this purpose, data were collected by distributing questionnaire packets to 268 mothers of children aged 3-5 years who were enrolled in 7 early childhood education institutions in Gyeonggi-do. The collected data were analyzed using the SPSS 25.0 program. As a result of the study, first, there was a statistically significant difference in the overall belief according to the mother's personal characteristic, the educational level, and a significant difference in the sub-factor, living together, in the execution. Second, it was found that there was a significant positive correlation between all variables except for the relationship between social relation execution and the ability to regulate others, which is a sub-factor of emotional intelligence. Third, beliefs and executions in social relation were found to affect all emotional intelligence and pro-social behavior, except for the effect of social relation execution on the ability to regulate others. This study is expected to provide basic data to improve parents' interest in the improvement of young children's social ability and practical interaction in child rearing.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.147-153
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• 2023

As it spreads to all industries of artificial intelligence technology, AIaaS equipped with artificial intelligence services is emerging. In particular, non-IT companies are suffering from the absence of software experts, difficulties in training big data models, and difficulties in collecting and analyzing various types of data. AIaaS makes it easier and more economical for users to build a system by providing various IT resources necessary for artificial intelligence software development as well as functions necessary for artificial intelligence software in the form of a service. Therefore, the supply and demand for such cloud-based AIaaS services will increase rapidly. However, the quality of services provided by AIaaS becomes an important factor in what is required as the supply and demand for AIaaS increases. However, research on a comprehensive and practical quality evaluation metric to measure this is currently insufficient. Therefore, in this paper, we develop and propose a usability, replacement, scalability, and publicity metric, which are the four metrics necessary for measuring reusability, based on implementation, convenience, efficiency, and accessibility, which are characteristics of AIaaS, for reusability evaluation among the service quality measurement factors of AIaaS. The proposed metrics can be used as a tool to predict how much services provided by AIaaS can be reused for potential users in the future.

• Journal of Gifted/Talented Education
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• v.26 no.3
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• pp.493-514
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• 2016

Since the Gifted and Talented Education Promotion Law was enacted 15 years ago, in Korea, gifted education in Korea has continued rapid and quantitative growth. The number of gifted classes or institutes for the gifted have increased, as well as the number of gifted education teachers increasing their participation in professional development training and educational activities. However after 2014, gifted education is somewhat shrinking. Due to the controversy of private education and expansion of social welfare in Korea, administrative and financial support for gifted education is being reduced. This study reviewed the gifted education policies promoted by successive governments and analyzed the relationship between politics and support for gifted education efforts by the government. In addition, the phenomenon of the recently shrinking gifted education in Korean society was analyzed in various aspects. These aspects include: decreasing quantitative growth due to the weakening of administrative and financial support from central and local governments on gifted education, regulations on suppressing private education, social inequality to gifted education access, and lack of solidarity in the gifted education scholastic community. Based on this analysis of gifted phenomenon, ways of developing the ideological and practical aspects of future-oriented gifted education were suggested. In the ideological dimension, it was emphasized that gifted education must move away from insularity and the adhesive perspective of Korean society on the concept of giftedness, the concept of intelligence and the recognition of the legitimacy of gifted education. On the other hand, in the practical dimension, the following points were identified: the collection of empirical data on the economic impact of gifted education, gifted education amendment of the statutes, adaptation of the gifted education program with gifted identification, diversification of gifted education service system, and actively promoting new research topics in relation to the Gifted and Talented Education.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1109-1114
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• 2003

In this paper, task control architecture is proposed for a mobile robot with behaviors based on cognition theory to endow the robot intelligence. In the task control architecture, task manager is introduced especially for the management of computational resource. The management is based on classical RMS (Rate Monotonic Strategy), but with online rate modulation strategy. The rate modulation is performed using the value variances of behavior execution for the task. Because the values are based on natively uncertain sensor information, they are modeled using PDF (probability Density Function). As a rate modulation process, the range of the rate modulation is defined firstly by real-time constraints of RMS and discrete control stability of behaviors. With the allowable range, rate modulations are performed considering harmonic bases to maintain utilization bound without decrease. To evaluate the efficiency of the proposed rate modulation strategy, a simulation test is performed to compare the efficiency between the control architecture with the proposed strategy and previous one. A performance index with the formalization of propensity of resource allocation is proposed and utilized for the simulation test. To evaluate the appropriateness of the performance index, the performance index is compared with practical one through a practical simulation test.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.391-406
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• 2015

Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.

• Korean Journal of Construction Engineering and Management
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• v.24 no.4
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• pp.60-73
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• 2023

The need for adopting automation technologies to improve inefficiencies in interior finishing modeling work is increasing during the Building Information Modeling (BIM) design stage. As a result, the use of visual programming languages (VPL) for practical applications is growing. However, undefined or incorrect space designations in BIM models can hinder the development of automated finishing modeling processes, resulting in erroneous corrections and rework. To address this challenge, this study first developed a rule-based automated interior finishing detailing module for floors, walls, and ceilings. In addition, an automated space integrity checking module with 86.69% ACC using the Multi-Layer Perceptron (MLP) model was developed. These modules were integrated into a design automation module for interior finishing, which was then verified for practical utility. The results showed that the automation module reduced the time required for modeling and integrity checking by 97.6% compared to manual work, confirming its utility in assisting BIM model development for interior finishing works.

• Journal of Korean Philosophical Society
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• v.147
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• pp.117-146
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• 2018

This paper discusses, whether religion is possible even in the age of artificial intelligence, and whether humans alone are the subject of religious faith or ultra intelligent machines with human minds can be also subjects of faith. In order for ultra intelligent machines to be subjects of faith in the same conditions as humans, they must be able to have unique characteristics such as emotion, will, and self-consciousness. With the advent of ultra intelligent machines with the same level of cognitive and emotional abilities as human beings, the religious actions of artificial intelligence will be inevitable. The ultra intelligent machines after 'singularity' will go beyond the subject of religious belief and reign as God who can rule humans, nature and the world. This is also the common view of Morabeck, Kurzweil and Harari. Leonhart also reminds us that technological advances should make us used to the fact that we are now 'gods'. But we fear we may face distopia despite the general affluence of the 'Star Trec' economy. For this reason, even if a man says he has learned the religious truth, one can't help but wonder if it is true. Kant and Bloch are thinkers who critically reflected on our religious ideals and highest concept in different world-view premises. Kant's concept of God as 'idea of pure reason' and 'postulate of practical reason', can seem like a 'god of gap' as Jesse Bering said earlier. Kant recognized the need for religious faith only on a strict basis of moral necessity. The subjects of religious faith should always strive to do the moral good, but such efforts themselves were not enough to reach perfection and so postulated immortality of the soul. But if an ultra intelligent machines that has emerged above a singularity is given a new status in an intellectual explosion, it can reach its morality by blocking evil tendencies and by the infinite evolution of super intelligence. So it will no longer need Kant's 'Postulate for continuous progress towards greater goodness', 'Postulate for divine grace' and 'Postulate for infinite expansion of the kingdom of God on earth.' Artificial intelligence robots would not necessarily consider religious performance in the Kant's meaning, and therefore religion will also have to be abolished. Ernst Bloch transforms Kant's postulate to be Persian dualism. Therefore, in Bloch, even though the ultra intelligent machines is a divine being, one must critically ask whether it is a wicked or a good God. Artificial intelligence experts warn that ultra intellectual machine as Pandora's gift will bring disaster to mankind. In the Kant's Matrix, a ultra intelligent machines, which is the completion of morality and God itself, may fall into a bad god in Bloch's Matrix. Therefore, despite the myth of singularity, we still believe that ultra intelligent machines, whether as God leads us to the completion of one of our only religious beliefs, or as bad god to the collapse of mankind through complete denial of existence.

• Journal of the Korean Society for Nondestructive Testing
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• v.17 no.4
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• pp.248-261
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• 1997

Ultrasonic pattern recognition is the most effective approach to the problem of discriminating types of flaws in weldments based on ultrasonic flaw signals. In spite of significant progress in the research on this methodology, it has not been widely used in many practical ultrasonic inspections of weldments in industry. Hence, for the convenient application of this approach in many practical situations, we develop an intelligent ultrasonic signature classification software which can discriminate types of flaws in weldments based on their ultrasonic signals using various tools in artificial intelligence such as neural networks. This software shows the excellent performance in an experimental problem where flaws in weldments are classified into two categories of cracks and non-cracks. This performance demonstrates the high possibility of this software as a practical tool for ultrasonic flaw classification in weldments.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.470-483
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• 2013

The purpose of this study is to examine the relationship among the emotional labor, service commitment and customer orientation in hotel service context. Moreover, this study was designed to test the moderating effect of supervisor's emotional intelligence to provide fundamental and practical data for hotel industry. In this study, 4 hypotheses based on literature reviews were employed. A questionnaire was also developed based on previous studies. A convenience sample of 318 hotel employees was surveyed and a total of 297 usable questionnaires were analyzed. Then the data and hypotheses were examined using multiple regression analysis using SPSS 18.0. The results are as follows. Firstly, emotional labor was divided into 'emotional dissonance', 'emotional frequency', 'emotional diversity' and 'emotional intensity' according to the literature review. Analysis showed that emotional labor has partial effects on service commitment accordingly. Secondly, service commitment has positive effect on customer orientation. Thirdly, emotional labor has partial effects on customer orientation. Lastly, supervisor's emotional intelligence has partial moderating effects between emotional labor and customer orientation. Continuous and systematic training should be conducted to administer 'emotional labor'.

• Journal of Gifted/Talented Education
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• v.24 no.3
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• pp.445-462
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• 2014

The purpose of the present study is to compare paper and pencil test utilized to identify gifted students so far to the recently introduced teacher observation-recommendation system. More specifically, this study compared intelligence, career patterns, and self- regulated learning abilities of gifted students who were identified through those two different identification system to explore the possibility of the newly introduced teacher observation-recommendation system. The results show that there was no significant difference in the aspect of overall IQ score. However, students who were identified through the observation-recommendation system showed significantly higher scores at some subscores of intelligence test, such as vocabulary application, comprehension, and schematization. In the aspects of career patterns, about 72% of gifted students who were identified through the previous paper and pencil test belonged to the 'investigative' category of Holland. But more diverse career patterns such as enterprising, social, realistic, conventional including investigative categories were found in those students who were identified by the observation-recommendation system. There were also significant differences in the self-regulated learning abilities between two groups of students. Practical implications of the study were discussed in depth.