• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.115-124
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• 2009

The popular eigenfaces-based face recognition among proposed face recognition methods utilizes the eigenfaces obtained from applying PCA to a training face image set. Thus, it may not achieve a reliable performance under illumination environments different from that of training face images. In this paper, we propose an illumination-separate eigenfaces-based face recognition method, which excludes the effects of illumination as much as possible. The proposed method utilizes the illumination-separate eigenfaces which is obtained by orthogonal decomposition of the eigenface space of face model image set with respect to the constructed face illumination subspace. Through experiments, it is shown that the proposed face recognition method based on the illumination-separate eigenfaces performs more robustly under various illumination environments than the conventional eigenfaces-based face recognition method.

• Journal of Korean Home Economics Education Association
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• v.7 no.2
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• pp.35-50
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• 1995

The purpose of this study was to investigate the recognition degrees of contents in Home Economics textbook for middle school students among pre-middle school students and their parents. It is for developing better Home Economics textbook. Three objectives of this study were ; 1) To find the recognition degrees of the fact that Home Economics subject is supposed to utilize for not only girls, but boys students in middle schools in 1996 among pre-middle school students and their parents. 2) To find the degrees of necessity in each field of Home Economics subject among pre-middle school students and their parents. 3) To find the differences in recognition degrees of understandings, attitudes, and sills of Home Economics subject between pre-middle school students and their parents. Questionnaire survey method was utilized to 1,205 sixth grade students and their parents in Pusan. The results of this study as follows; 1) It was low that the recognition degrees of the fact that Home Economics subject is supposed to utilize for both girls and boys in middle school among both pre-middle school students and their parents. This result implies that it is important to important to disseminate the curriculum change in Home Economics practice to the public. 2) It was high that the recognition degree of necessity in each field of Home Economics subject among pre-middle school students and their parents. The recognition degree were different according to sociodemographic factors. That is , $\circled1$the recognition degrees of students were lower than their parents; $\circled2$ the recognition degrees of parents who have high education were higher than those who have low education ; $\circled3$ the recognition degree of an environmental field was highest. 3) There were little differences between pre-middle school students and their parents in the recognition degrees of understandings, attitudes, and skills of Home Economics subjects: The recognition degrees of girls fathers showed higher scores than boys fathers those of in understandings and skills of Home Economics subject. The recognition degrees of girls fathers showed higher scores than those of girls in attitudes of Home Economics subject.

• Journal of the Korean housing association
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• v.20 no.1
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• pp.91-99
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• 2009

With the development of the internet and the spread of 'digital home', apartment houses equipped with the homepages connecting apartment houses as one cyberspace unit have increased. The virtual community with a homepage in apartment complex have improved the effect on management businesses in the side of a apartment manager and increased the importance of the space with a strong tie between residents in the side of residents. But the apartment residents didn't make full use of the virtual community because they have the low level of recognition of it. Therefore, this study attempted to present basic materials for the scheme to revitalize the virtual community. For this purpose, it attempted to find residents' recognition of and participation in the virtual community and demand for the classified contents conducted before this study. In the research method, it conducted the questionnaire research. The results are as follows. 1) First of all, It was found that the apartment residents had the low level of recognition of the virtual community. There was a significant difference according to the degree and the level of using the internet. Some easy-access programs are necessary. 2) The apartment residents took part in the virtual community about 67 percents because there was a lack of the public relation of the virtual community. 3) It was found that there was a significant positive correlation between the level of recognition and participation. 4) An attempt was made to identify the apartment residents' demand for the type of virtual community contents. It was found that most of contents were needed. 'apartment complex introduction and management information' showed the highest score among them. 5) Most respondents are affirmative to the virtual community. Therefore the residential community could be reinforced if the contents of virtual community is developed and well operated in the future.

• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.58-64
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• 2007

In pattern recognition field, there are many optimization problems having exponential search spaces. To solve of sequential search algorithms seeking sub-optimal solutions have been used. The algorithms have limitations of stopping at local optimums. Recently lots of researches attempt to solve the problems using genetic algorithms. This paper explains the huge search spaces of typical problems such as feature selection, classifier ensemble selection, neural network pruning, and clustering, and it reviews the genetic algorithms for solving them. Additionally we present several subjects worthy of noting as future researches.

• Journal of the Korean Society of Food Culture
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• v.29 no.6
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• pp.528-538
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• 2014

The purpose of this study was to investigate the relationships among recognition, preference, and purchasing characteristics for Changnyeong onions and garlic as well as festival satisfaction among participants at agricultural product festivals in the Changnyeong region. Results showed that festival satisfaction of 'place of festival' was highest while 'convenience facility & event contents' earned the lowest scores. Most subjects (90.5%) had purchased Changnyeong agricultural and processed products. A major purchasing type was fresh agricultural products (66.7%). The pathways to recognize Changnyeong agricultural products were mostly 'promotion by related institutions' (22.0%), 'family relatives' (20.8%), 'mass media' (16.6%), and 'festivals and events' (16.1%). The most considered factors for purchasing regional products were 'geographical origin' and 'ingredients'. Changnyeong onion showed higher scores for recognition and preference and rate of purchase experience and intention than for garlic. The correlation coefficients of recognition and preference for onion and galic were 0.603 (p<0.001) and 0.598 (p<0.001), respectively. The explanation power ($R^2$) of related variables for purchase of Changnyeong onions was 0.258. The regression coefficients (${\beta}$) for 'recognition', 'preference' and 'convenient facility & event contents' were positive, whereas the regression coefficient for 'price' was negative. Recognition, preference, and convenient facility & event contents with garlic purchase showed a positive relationship ($R^2$=0.253). The most effective promotion method to increase sales of Changnyeong agricultural products was 'local festivals and events' (27.8%).

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.58-66
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• 2019

Recognition of named entity such as proper nouns in conversation sentences is the most fundamental and important field of study for efficient conversational information prediction. The most important part of a task-oriented dialogue system is to recognize what attributes an object in a conversation has. The named entity recognition model carries out recognition of the named entity through the preprocessing, word embedding, and prediction steps for the dialogue sentence. This study aims at using user - defined dictionary in preprocessing stage and finding optimal parameters at word embedding stage for efficient dialogue information prediction. In order to test the designed object name recognition model, we selected the field of daily chemical products and constructed the named entity recognition model that can be applied in the task-oriented dialogue system in the related domain.

• MALSORI
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• no.43
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• pp.89-99
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• 2002

Recently, researches into ways of improving large vocabulary continuous speech recognition and speech synthesis are being carried out intensively as the field of speech information technology is progressing rapidly. In the field of speech recognition, developments of stochastic methods such as HMM require large amount of speech data for training, and also in the field of speech synthesis, recent practices show that synthesis of better quality can be produced by selecting and connecting only the variable size of speech data from the large amount of speech data. In this paper we design and discuss linguistic contents for speech copora for speech recognition and synthesis to be shared in common.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.533-535
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• 2006

In this paper, we experiment a face recognition rate of the shaded faces except to low dimension feature vectors; first, second, third dimension. It is known to robust the face recognition against illumination. But, it isn't obvious what is effect to recognition in terms of low dimension. We are analysis to the effect of low dimension(first, second, third dimension, and combination of these) under the shaded faces.

• The Journal of the Korea Contents Association
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• v.3 no.3
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• pp.47-54
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• 2003

In this paper, we implemented embedded LNUX-based UI(User Interface) board which can be applied to Human Iris recognition product. for this purpose, we also analyzed and designed LNUX operating system and adapted boot loader, kernel, control program modules according to the developed H/W architectures. As the experimental results shows that Iris recognition system is operable and embedded LNUX-based UI board which is connected to heterogeneous system by TCP/IP protocol can both successfully send and receive data this UI board has been able to obtain high performance.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.392-395
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• 2004

It was recently focus to face recognition at a security system according to development of computer. The face recognition has method using geometrical feature and one using statistical feature. The proposed method uses k level LL, LH, HL, HH subband images adopting wavelet transform. And, we adopt PCA/LDA to subband images. As a result of simulation, recognition rate of subband images using wavelet transform is more high than one of full size image.