• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.672-679
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• 2013

Creativity is the thinking ability and the expression of new image by imagination as a problem recognition and way of solution. This study aims to search for the creativity theory of body movement and to analyze the creativity factor. According to the study, the creativity of body movement needs four steps: movement awareness, movement design, movement discovery and movement use. The use of new image through self-perception and self concept brings about a creative improvement in the problem recognition and its resolution function. In conclusion, the creativity of body movement means the infinity of body movement as 'the third energy' and 'the flexibility of flow' by interaction.

• Journal of the Korean Graphic Arts Communication Society
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• v.6 no.1
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• pp.41-57
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• 1988

Recently, it Is required to develop OCR(Optical Character Reader) along with the progress of the information processing system for Hangeul. Characters have to be recognized clearly so that OCR can be applied, Structure analysis method and lump method are used for the recognition of characters, and OCR is now available for the recognition of printed characters and handwritten alphanumeric characters having simple structure by them However, It is known that there should be much more study on the development of handwritten Hangout's OCR. This paper proposed a new method for the handwritten Hangout character recognition. The units of Initial consonant of Hangout are separated and then recognized from the utilization of the position- Information of Hangeul's units from the normalized patterns using the regression line theory. It is carried out for the extraction of the block which exists in the virtual Initial consonant region from the normalized input patterns and the calculation on maximum value (${\beta}$) of likelihood after comparing the features of separated subpattern with the initial consonant dictionary.

• Speech Sciences
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• v.8 no.3
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• pp.133-142
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• 2001

In the area of speech processing, raw signals used to be presented in 2D format and different kinds of algorithms use the format to solve their problems. However, such kinds of presentation methods have limitations to extract characteristics from the signal, even though the algorithms are quiet good. The basic reason is that not much information can be detected from the 2D signal. Strange attractor in the field of chaos theory provides the 3D presentation method. In the area of the recognition problem, signal construction method is very important because good features can be detected from a good shape of attractors. This paper discusses a new presentation method that can be used to construct strange attractor in a different way. Normal strange attractor uses time-delay idea while the new method uses time-delay and vector average. This method provides us good information to be applied to speaker recognition problem.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.11b
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• pp.762-766
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• 2002

This paper describes the emotion recognition algorithm using HMM(Hidden Markov Model) method. The relation between the mechanic system and the human has just been unilateral so far. This is the why people don't want to get familiar with multi-service robots of today. If the function of the emotion recognition is granted to the robot system, the concept of the mechanic part will be changed a lot. Pitch and Energy extracted from the human speech are good and important factors to classify the each emotion (neutral, happy, sad and angry etc.), which are called prosodic features. HMM is the powerful and effective theory among several methods to construct the statistical model with characteristic vector which is made up with the mixture of prosodic features

• Journal of the Korea Society of Computer and Information
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• v.3 no.2
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• pp.113-117
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• 1998

The image recognition, with various technics, recently presented an effective recognition scheme both for image and character. The analyzing process, however, is highly complicated so that this does not utilized fully. This paper examines the validity of the image recognition through morphology, which is simple and a theory of sets. The morphology applies erosion and dilation, opening and closing, and structuring element.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.990-995
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• 1991

The integration of intelligent robots into manufacturing systems should positively impact the product quality and productivity. A new theory of object location and recognition using the supporting plane is presented. The unknown supporting points are determined by image coordinates, known camera parameters, and joint coordinates of the robot manipulators. This is developed by using the geometrical interpretation of perspective projection and the geometrical constraints of industrial environments. This can be applied to solve typical robot vision problems such as determination of position, orientation, and recognition of objects.

• Proceedings of the Acoustical Society of Korea Conference
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• 1996.10a
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• pp.66-69
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• 1996

The goal of automatic speech recognition is to study techniques and systems that enable agents such that computers and robots to accept speech input. However, this paper does not provide a concrete technology in speech recognition but propose a possible mathematical tools to be employed in that area. We introduce rough set theory and suggest the possibility of the rough set approach in phonetic distinctions.

• Korean Journal of Culture and Social Issue
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• v.14 no.1_spc
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• pp.167-186
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• 2008

This study is to investigate, from the perspective of implicit theory, what elements influence children's motivation to learn and how their configurations are different according to different sexes. One analysis was based on answers to a motivation questionnaire by fourth to sixth graders from four different cities in South Korea. The subjects children were most highly motivated to learn were math and science for boys, and math and English for girls, respectively. Factors influencing the motivation were near 30 in number, including later happier life, joy of learning, parental rewards, pleasure of being informed, and meeting parental expectations, among others. Another analysis was an exploratory and confirmative factor analysis on motivation to learn among 856 fourth to sixth graders randomly sampled from 7 different cities all over South Korea. Factors revealed to contribute to the motivated learning here were five factors of utility, interest, recognition, knowledge acquisition(being informed), and expectancy sufficiency. There were some differences in the structure of factors between sexes; importance was given to five factors of utility, interest, recognition, knowledge acquisition, and expectancy sufficiency in descending order for boys, and six factors of interest, utility, rewards, recognition, expectancy sufficiency, and competition for girls.

• ETRI Journal
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• v.29 no.3
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• pp.300-304
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• 2007

This paper proposes a new data-driven method for high-pass approaches, which suppresses slow-varying noise components. Conventional high-pass approaches are based on the idea of decorrelating the feature vector sequence, and are trying for adaptability to various conditions. The proposed method is based on temporal local decorrelation using the information-maximization theory for each utterance. This is performed on an utterance-by-utterance basis, which provides an adaptive channel normalization filter for each condition. The performance of the proposed method is evaluated by isolated-word recognition experiments with channel distortion. Experimental results show that the proposed method yields outstanding improvement for channel-distorted speech recognition.

• Korean Journal of Social Welfare
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• v.67 no.4
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• pp.325-348
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• 2015

The main purpose of the study is to explore the implications of Recognition Paradigm for domains of social work, especially focusing on the arguments exchanged between Axel Honneth and Nancy Fraser, two eminent scholars in this field. The Recognition paradigm, which is an alternative perspective in practical philosophy developed to cope with the changing socio-political situations in the late modern society, is providing the domain of social work with a lot of important theoretical and practical implications as well. In particular, Honneth's recognition theory which considers the recognition as a basic prototype in human development and construction of society is able to clarify the fundamental mission and territory the social work profession is to pursue. But for the meanwhile, Fraser's dual perspective of justice, which is an extended version of redistributive justice introducing the recognition component in it, can suggest diverse practical strategies to confront complex injustice-making structures effectively in the later modern society. In spite of these abundant implications in both theoretical and practical areas, the recognition paradigm still save several fundamental considerations for social work, such as the real meaning of the recognition in social work, the exact population from whom social work seek to get recognition, and the adequate strategy, so-called "recognition struggle" which social work is to employ to acquire the recognition.