• Cartoon and Animation Studies
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• s.31
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• pp.1-27
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• 2013

The study looks a shape of hybrid character in animation and suggests extended discussion to develop the Korean creative characters and to repeat traditional culture that can reproduce in mass media. First, this study considers Jangseung and Dokkaebi that appear frequently in the Korean traditional culture, and prepares a way to try to develop the Korean hybrid characters. To do this, I analyze examples of hybrid characters direction in as-found animation characters, and grasp the meaning of it. Hybrid character is classified as a character produced by mix and combination of shape and a character produced by shape exaggeration. And I shed new light on characters and meanings of Jangseung and Dokkaebi remaining as cultural assets. Through this, the study wants to help handling measure about a problem of character that the Korean animation has. Therefore, this study looks characters of description about imaginary creatures expressed in existing animations, and wants to shed new light on the Korean Jangseung and Dokkaebi regarded as from an object of folk religion and custom, to an object that is possible to use in the Korean traditional character development.

• Bulletin of the Korean Mathematical Society
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• v.50 no.2
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• pp.451-458
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• 2013

The main purpose of this paper is using the analytic methods and the properties of Gauss sums to study the computational problem of one kind mean value of the generalized Kloosterman sums and Dirichlet character of polynomials, and give an interesting asymptotic formula for it.

• Journal of Computational Design and Engineering
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• v.3 no.2
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• pp.121-131
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• 2016

Organic modeling of 3D characters is a challenging task when it comes to correctly modeling the anatomy of the human body. Most sketch based modeling tools available today for modeling organic models (humans, animals, creatures etc) are focused towards modeling base mesh models only and provide little or no support to add details to the base mesh. We propose a hybrid approach which combines geometrical primitives such as generalized cylinders and cube with Shape-from-Shading (SFS) algorithms to create plausible human character models from sketches. The results show that an artist can quickly create detailed character models from sketches by using this hybrid approach.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1389-1395
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• 2018

Hybrid is explained based on the logic of combination such as cross, melding, permeation, fusion, convergence etc. Such combination shows that it is more creative and effective in case of heterogeneity as compared to homogeneity and the same kind, and hybrid character has its meaning as a mean to produce a new creative image. In the context, this study aims to analyze influencing relationship through a practical analysis on how formative requirements for hybrid characters affects consumer preference. For the foregoing, this study conducted multiple regression analysis having familiarity, originality, meaningfulness, diversity as independent variables for formative requirements for characters, and consumer preference as a dependent variable. Analysis results show that familiarity, originality, diversity have a positive effect on consumers, whereas, meaningfulness has no significant impact on the consumer preference.

• Korean Journal of Ichthyology
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• v.3 no.1
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• pp.42-47
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• 1991

A suspected intergeneric hybrid cross between Pungtungia herzi and Pseudopungtungia nigra was collected at the Ungcheon River. Overall hybrid index did not show the hybrid connection clearly, but the most striking key character between two genus, pigmentation on the all fins except pectoral, the shape and position of the mouth part appeared to show the intermediary. So this specimen was thought to be an intergeneric natural hybrid which merits further study.

• The Research Journal of the Costume Culture
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• v.13 no.2 s.55
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• pp.300-313
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• 2005

Hybrid trend of the 21st century is an important basis to express fashion Alexander McQueen is a representative designer of Hybrid trend which combines heterogeneous elements into oneconcept. Accordingly, this study distributed and analyzed Hybrid trend which was in Alexander McQueen's work like below. First, there was a racial Hybrid trend which combined different local culture in shared space of the world in his fashion work and he challenged to Westernized ideal beauty with new recognition and knowledge about beside countries of Western Europe which were considered as not important culture due to perceiving relative value of a pluralist society and created new way aesthetic consciousness. Second, he expressed a historical character of a combination of tradition and modern by his fashion work based on wide historical knowledge of a dress. He created a new line in contrast to the past with a perfect design through combination of the style from the tradition with the parody and displayed his own design world. Third, he treated instability and disorder from the interior essential dissolution, thus he had a cultural character which broke down the boundary of cultural genre and style. This attitude showed transformation of constructivism and deconstruction view, secession and distortion, mixture, duplication, secession and insert by his fashion work.

• Journal of Electrical Engineering and Technology
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• v.10 no.2
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• pp.699-707
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• 2015

Although digit character recognition has got a significant improvement in recent years, it is still challenging to achieve satisfied result if the data contains an amount of distracting factors. This paper proposes a novel digit character recognition approach using a multi-layer hierarchical model, Hybrid Restricted Boltzmann Machines (HRBMs), which allows the learning architecture to be robust to background distracting factors. The insight behind the proposed model is that useful high-level features appear more frequently than distracting factors during learning, thus the high-level features can be decompose into hybrid hierarchical structures by using only small label information. In order to extract robust and compact features, a stochastic 0-1 layer is employed, which enables the model's hidden nodes to independently capture the useful character features during training. Experiments on the variations of Mixed National Institute of Standards and Technology (MNIST) dataset show that improvements of the multi-layer hierarchical model can be achieved by the proposed method. Finally, the paper shows the proposed technique which is used in a real-world application, where it is able to identify digit characters under various complex background images.

• Korean Security Journal
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• no.11
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• pp.87-104
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• 2006

When the character of space could be dichotomized into the existing public space and private space, social order could be maintained by public policing only, Since enormous private property was formed and private space was enlarged by the development of capitalism, however, the necessity of private policing system came to the front. The large capitalists began to establish separate policing system to protect their property and safety. However, as social alteration was further diversified scale of economy was enlarged, the character of space could not be simply explained owing to the formation of space that could not be explained by simple dichotomous division. Namely, the 3rd space was formed as middle class between public space and private space. The 3rd space created additional demand of policing besides the existing public policing and private policing. The policing system to safety such demand of policing is called hybrid policing. As policing system in which character and legal status of public policing and private policing are mixed, the hybrid policing system may be originated from the diversification of demand of policing. Johnston insists that the demand of hybrid policing system will be further increased, becoming the model of policing system in the future. In Korea, the police guard system or special guard system can be classified into the type of hybrid policing. In accordance with the trend of diversified demand of policing in the future, I suggest to develop Korean model of hybrid policing system so that it can be utilized in elevating the policing index in Korean society.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1256-1259
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• 2002

In this paper, we have proposed license plate recognition system for multi-national vehicle license plate using geometric features along with hybrid and seven segment pattern vectors. In the proposed system, we suggested to find horizontal and vertical relation after going through preparation process with inputted real-time license plate image of Korea and Japan, and then to classify license plate with using characteristic and geometric information of license plates. It classifies the extracted license plate images into letters and numbers, such as local name, local number, classification character and license consecutive numbers, and recognize license plate of Korea and Japan by applying hybrid and seven segments pattern vectors to classified letter and number region. License plate extraction step of the proposed system uses width and length information along with relative rate of Korean and Japanese license plate. Moreover, it exactly segmentation by letters with using each letter and number position information within license plate region, and recognizes Korean and Japanese license plates by applying hybrid and seven segment pattern vectors, containing characteristics related to letter size and movement within segmented letter area. As the result of testing the proposed system in real experiment, it recognized regardless of external lighting conditions as well as classifying license plates by nations, Korea and Japan. We have developed a system, recognizing regardless of inputted structural character of vehicle licenses and external environment.

• Journal of Web Engineering
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• v.21 no.2
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• pp.265-284
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• 2021

In this study, an automatic end-to-end speech recognition system based on hybrid CTC-attention network for Korean language is proposed. Deep neural network/hidden Markov model (DNN/HMM)-based speech recognition system has driven dramatic improvement in this area. However, it is difficult for non-experts to develop speech recognition for new applications. End-to-end approaches have simplified speech recognition system into a single-network architecture. These approaches can develop speech recognition system that does not require expert knowledge. In this paper, we propose hybrid CTC-attention network as end-to-end speech recognition model for Korean language. This model effectively utilizes a CTC objective function during attention model training. This approach improves the performance in terms of speech recognition accuracy as well as training speed. In most languages, end-to-end speech recognition uses characters as output labels. However, for Korean, character-based end-to-end speech recognition is not an efficient approach because Korean language has 11,172 possible numbers of characters. The number is relatively large compared to other languages. For example, English has 26 characters, and Japanese has 50 characters. To address this problem, we utilize Korean 49 graphemes as output labels. Experimental result shows 10.02% character error rate (CER) when 740 hours of Korean training data are used.