• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.1-9
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• 2021

Although interest in the metaverse increases due to the pandemic, the understanding of the metaverse interest factor, which is an essential element for the sustainability of any metaverse platform, is lacking. This study aims to reveal the interest factors of metaverse services by analyzing user community discourse. We collected user community discourses from and applied LDA to extract topics. Further, we categorize the factors into growth and verifiable indicators, various levels of interaction, self-expression and freedom, and connection with the real world. The content planning direction of the game-based metaverse of utilization was derived. This study is meaningful in that it analyzes the interest factors of the metaverse based on the empirical evidence of user discourse data.

• Korean Journal of Cognitive Science
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• v.16 no.4
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• pp.369-386
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• 2005

Although Intelligent Tutoring System(ITS) offers individualized learning environment that overcome limited function of existent CAI, and consider many learners' variable, there is little development to be using at the sites of schools because of inefficiency of investment and absence of pedagogical content knowledge representation techniques. To solve these problem, we should study a method, which represents knowledge for ITS, and which reuses knowledge base. On the pedagogical content knowledge, the knowledge in education differs from knowledge in a general sense. In this paper, we shall primarily address the multi-complex structure of knowledge and explanation of learning vein using multi-complex structure. Multi-Complex, which is organized into nodes, clusters and uses by knowledge base. In addition, it grows a adaptive knowledge base by self-learning. Therefore, in this paper, we propose the 'Extended Neural Logic Network(X-Neuronet)', which is based on Neural Logic Network with logical inference and topological inflexibility in cognition structure, and includes pedagogical content knowledge and object-oriented conception, verify validity. X-Neuronet defines that a knowledge is directive combination with inertia and weights, and offers basic conceptions for expression, logic operator for operation and processing, node value and connection weight, propagation rule, learning algorithm.

• Journal of Gifted/Talented Education
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• v.13 no.1
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• pp.65-80
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• 2003

The purpose of this study was to investigate the Asynchronous development of young gifted children by parents' perception. Total 3 groups of 145 subjects from age 30 months to 6 years 10 months old young gifted children's parents participated. The major findings were as follows: (1) The mean developmental characteristics was at a high average level. The developmental subscales tended to be high. The level of verbal understanding/expression tended to be high. It reared as followed; intellectual capacity, emotional maturity, visual-motor coordination, morality, self-behavior control, emotion control, physical development, social development, peer relationship, leadership ability. (2) There were significant differences between intellectual capacity, verbal understanding /expression and physical, social development, self-behavior control, emotion control. There were significant differences between physical development, self-behavior control and emotion control as children got lower. There were significant differences between verbal understanding/expression and visual-motor coordination as children got older. There were significant differences between social development, peer relationship and self-behavior control, emotion control as children got older. Also, there were significant differences between leadership ability and self-behavior control, emotion control as children got older. There were significant differences between morality and self-behavior control as children got older. These findings suggested that young gifted children were in the special needs because of the developmental differences.

• (The)Study of the Eastern Classic
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• no.35
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• pp.471-498
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• 2009

The aim of this study is to see how bamboo paintings developed and what is the iconographical meaning of them through bamboo Ti-hua-shi(poems on paintings) found in Sheng-Hua-Ji, a leading compilation of Ti-hua-shi(poems on paintings) of Song Dynasty. Bamboo paintings give shapes in a simpler and more direct way in drawing, which means bamboo paintings reveal concretely more characteristics of Ti-hua-shi (poems on paintings). Bamboo paintings, which flourished during Northern Song Dynasty, often had the image of the dragon, specially a lying dragon or a winding dragon, which suggests a great man in obscurity. Snow-laden bamboos were also a symbol of a great man, very wise man in Confucian tradition. This shows Confucian ideal examples were embodied through bamboo paintings. Another aspect of bamboo paintings is that bamboo paintings were regarded as a means of self-expression, which identified Confucian sadaebu (scholar-officials) who advocated simplicity and austerity in their life. Contrary to professional painters, who added color and decoration to their paintings, Confucian scholars of Song Dynasty reduced color and embellishment in their bamboo paintings in black-and-white to reveal their own identity, focusing on spirituality rather than the image itself. Therefore, drawing and appreciating bamboo paintings were highly respectable pastime among the literati of Song Dynasty. In short, Bamboo paintings in Song Dynasty were not only a Confucian symbol of a wise and virtuous man but also reflected the taste of Song sadaebu class who thought of bamboo as a symbol for moral and cultural responsibility of Confucian society.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.6
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• pp.46-56
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• 2001

In this paper we propose an efficient approach for real-time eye-gaze tracking from image sequence and magnetic sensory information. The inputs to the eye-gaze tracking system are images taken by a camera and data from a magnetic sensor. The measuring data are sufficient to describe the eye and head movement, because the camera and the receiver of a magnetic sensor are stationary with respect to the head. Experimental result shows the validity of real time application aspect of the proposed system and also shows the feasibility of the system as using a new computer interface instead of the mouse.

• The Journal of the Acoustical Society of Korea
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• v.35 no.4
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• pp.303-309
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• 2016

This paper proposes a novel approach to the problem of audio signal clustering using a stacked autoencoder. The proposed stacked autoencoder learns an efficient representation for the input signal, enables clustering constituent signals with similar characteristics, and therefore the original sources can be separated based on the clustering results. STFT (Short-Time Fourier Transform) is performed to extract time-frequency spectrum, and rectangular windows at all the possible locations are used as input values to the autoencoder. The outputs at the middle, encoding layer, are used to cluster the rectangular windows and the original sources are separated by the Wiener filters derived from the clustering results. Source separation experiments were carried out in comparison to the conventional NMF (Non-negative Matrix Factorization), and the estimated sources by the proposed method well represent the characteristics of the orignal sources as shown in the time-frequency representation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.7A
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• pp.1006-1016
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• 2000

This study is to segment white matter, gray matter, and cerebrospinal fluid(CSF) on a brain MR image and to calculate the volume of each. First, after removing the background on a brain MR image, we segmented the whole region of a brain from a skull and a fat layer. Then, we calculated the partial volume of each component, which was present in scanning finite thickness, with the arithmetical analysis of gray value from the internal region of a brain showing the blurring effects on the basis of the MR image forming principle. Calculated partial volumes of white matter, gray matter and CSF were used to determine the threshold for the segmentation of each component on a brain MR image showing the blurring effects. Finally, the volumes of segmented white matter, gray matter, and CSF were calculated. The result of this study can be used as the objective diagnostic method to determine the degree of brain atrophy of patients who have neurodegenerative diseases such as Alzheimer's disease and cerebral palsy.

• Archives of design research
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• v.18 no.4 s.62
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• pp.147-154
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• 2005

In this paper, I am going to analyze a correlation of Jacques Lacan's Mirror Stage and the process of remediation on image media. It is because the remediation process of various digital media is letting people pass through one time of mirror stage again. Remediation for the Internet of traditional media, conflict with the virtual world and real world, identification that a virtual image changes a practical image is for it to be caused a remediation process by mutual link of various image media. The Narcissism which occurs in the relation a self with a idealized self searches a new own expression and forms a skillful mania culture. Reflexivity of active mania culture same as a Jacques Lacan's Mirror Stage is to be the possibility becoming the feature of media culture of today. However, if digital media culture generation spends extremely wasting time from the image media, these image media generations cannot grow into new future-type man. According to this, it is necessory to have a study on Visual Literacy that it is related to a Jacques Lacan's Mirror Stage.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.401-404
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• 2007

최근 들어 환경 오염과 식습관의 변화로 인해 알레르기성 질환이 널리 유발되고 있다. 특히 평생 건강의 시초라 할 수 있는 소아 시기에 알레르기로 인한 천식, 비염 및 아토피 등의 증세는 소아 뿐만 아니라 부모까지도 위험 요소로 크게 자리잡고 있는 실정이다. 따라서 본 논문은 소아기에 가장 흔하게 발생되는 질환인 소아 천식을 예방하려는 목적으로 연구를 행하였다. 의사 표현 능력이 부족한 소아에게서 울음소리는 소아의 유일한 자기 표현 방법이다. 본 논문에서는 천식을 앓고 있는 소아의 울음소리를 분석하였으며 정상 소아의 울음소리를 동일한 환경 설정으로 분석하여 이를 비교, 분석하여 천식 질환 소아와 정상 소아간의 상관성을 입증하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.344-355
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• 2008

In this paper, we are dealing with the problems of performance evaluation of Differentiated Services(DiffServ) networks. For successful performance evaluation, the ability to accurately represent "real" traffic on the network by suitable traffic models is an essential ingredient. Many research results on the nature of real traffic measurements demonstrated LRD(long-range dependence) property for the Internet traffic including Web, TELNET, and P2P traffic. The LRD can be effectively represented by self-similarity. In this paper, we design and implement self-similar traffic generator using the aggregated On/Off source model, based on the analysis of the On-Off source model, FFT-FGN(Fast Fourier Transform-Fractional Gaussian Noise) model, and RMD(Random Midpoint Displacement) model. We confirmed the self-similarity of our generated traffic by checking the packet inter-arrival time of TCPdump data. Further we applied the implemented traffic generator to the performance evaluation of DiffServ networks and observed the effect of performance to the a value of the On/Off model, and performance of EF/BE class traffic by CBQ.