• The Journal of Information Technology
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• v.7 no.3
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• pp.11-18
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• 2004

Learning procedure in the neural network is updating of weights between neurons. Unadequate initial learning coefficient causes excessive iterations of learning process or incorrect learning results and degrades learning efficiency. In this paper, adaptive learning algorithm is proposed to increase the efficient in the learning algorithms of Self-Organization Neural Networks. The algorithm updates the weights adaptively when learning procedure runs. To prove the efficiency the algorithm is experimented to classification of strokes which is the reference handwritten character. The result shows improved classification rate about 1.44~3.65% proposed method compare with Kohonan and Mao's algorithms, in this paper.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.394-398
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• 2022

The article determines that the study of the development of scientific and didactic knowledge about the educational process in higher education should be built mainly on the basis of qualitative research methods that ensure the identification and understanding of the changes taking place in didactic knowledge, in the unity of their internal and external manifestations. On the basis of the epistemological model of the study of science, a generalized model of didactic knowledge about the educational process in higher education, including didactic relations as a theoretical core, subject of research, research methods and positions of researchers, ways of interaction between science and educational practice, and thematic structures of didactic knowledge; scientific and methodological problems of didactic knowledge about the educational process in higher education at the present stage of its developments due to the post-nonclassical transformation and orientation of research towards the humanitarian ideal of scientific character.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.4
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• pp.1166-1186
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• 2022

Artistic font design has become an integral part of visual media. However, without prior knowledge of the font domain, it is difficult to create distinct font styles. When the number of characters is limited, this task becomes easier (e.g., only Latin characters). However, designing CJK (Chinese, Japanese, and Korean) characters presents a challenge due to the large number of character sets and complexity of the glyph components in these languages. Numerous studies have been conducted on automating the font design process using generative adversarial networks (GANs). Existing methods rely heavily on reference fonts and perform font style conversions between different fonts. Additionally, rather than capturing style information for a target font via multiple style images, most methods do so via a single font image. In this paper, we propose a network architecture for generating multilingual font sets that makes use of geometric structures as content. Additionally, to acquire sufficient style information, we employ multiple style images belonging to a single font style simultaneously to extract global font style-specific information. By utilizing the geometric structural information of content and a few stylized images, our model can generate an entire font set while maintaining the style. Extensive experiments were conducted to demonstrate the proposed model's superiority over several baseline methods. Additionally, we conducted ablation studies to validate our proposed network architecture.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.123-130
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• 2022

Researchers had theorized that the earliest years' experiences were extremely critical to a child's future development (Jung, 2008; Liu et al., 2020), and parental involvement was a key character (Lamb et al., 2002; Liu, 2020). Though the critical role of parental involvement in education has been confirmed, less attention has been paid to its influence on infants' development. For the sake of infants' appropriate development, infant teachers always met barriers to finding, designing, and implementing age-appropriate activities. This case study aims at exploring the role of parental involvement in the development in infancy by surveying one director, four infant teachers, and six early childhood pre-service teachers' perspectives and practices regarding parental involvement in infant rooms within a Reggio Emilia-inspired child development center. Findings revealed that all participants: (1) thought parental involvement was essential to their decision-making process; (2) were aware of the benefits of implementing parental involvement in infants' rooms; (3) gained an opportunity to reflect on their practices regarding parental in-volvement and reprocess their previous perspectives. This study recommends that, in order to facilitate infants' development appropriately, child-care centers need to take into account parental involvement and work with parents collaboratively.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.87-95
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• 2016

Considerable research over the years has been devoted to ascertaining the impact of social media on political settings.In recent days, Social Network Sites (SNS) such as Facebook allowed users to share their political beliefs, support specific candidates, and interact with others on political issues. This study examines the role of SNS as the means of political campaign. The study tasks the case of the 2015'sspecial election, Seoul Korea. The analysis aims to identify how candidates use Facebook or Twitter to interact with voters by applying functional theory of political campaign discourse developed by Benoit. In this study, we analyzed the candidates' SNS messages in terms of political behavior such as self-expression, informing policy, asking voters to participate in political events. Among them the results indicated that two candidates, Jung, Dong Young and Byun, Hee Jae, both of them used SNS to express themselves the most. The study also found that two candidates used mainly the strategy called 'acclaim' which praises their own strengths. In terms of topics of SNS messages (policy versus character) there was different between two candidates. Jung, sent message in relation to 'character' the most, while Byun contained 'policy' message on SNS the most. Based on these findings implications and directions for future studies are discussed.

• Proceedings of the KIEE Conference
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• 2008.11a
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• pp.103-106
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• 2008

OPNW, which takes charge of the outer neutral wire role and the inner optical network role, was developed at the first time among nation and substituted the neutral wire of distribution line between electric power substation and neighboring station. This paper refers to results about its optical character measured periodically, and examines closely whether the unique matter will be occurred or not about the role of neutral wire during more than one year. Also, established OPNW became a new chance to distribution facility's working by establishing remote portrait supervisory system and doing remote supervisory about essential equipment of distribution line.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.24 no.3 s.174
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• pp.653-660
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• 2000

The automatization by industrial robot of today is merely rely on to the simple position repeating works, but requirements of research and development to the force control which would adapt positively to various restriction or contacting works to environment. In this paper, a learning control algorithm using, neural networks is proposed for the position and force control by a direct-drive robot. The proposed controller is the feedback controller to which the learning function of neural network is added on to and has a character of improving controller's efficiency by learning. The effectiveness of the proposed algorithm is demonstrated by the experiment on the hybrid position and force control of a parallelogram link robot with a force sensor.

• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.507-509
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• 1997

One of the most difficult tasks in the process of car license plate is the extraction of each character from within license plate region. This paper presents a real-time recognition of car licence number using neural network in parking lot. The feature parameters of letters and numbers of license plate are extracted by thinning algorithm. Both feature parameters are used to train neural networks for the image recognition.

• Journal of Electrical Engineering and Technology
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• v.13 no.3
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• pp.1377-1382
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• 2018

In the marine environment, many clutters have similar features with the marine targets due to the diverse changes of the air temperature, water temperature, various weather and seasons. Also, the clutters in the ground environment have similar features due to the same reason. In this paper, we proposed a robust Hybrid Machine Character (HMC) method to classify the targets from the clutters in the infrared images for the various environments. The proposed HMC method adopts human's multiple personality utilization and the CNN ensemble method to classify the targets in the ground and marine environments. This method uses an advantage of the each environmental training model. Experimental results demonstrate that the proposed method has better success rate to classify the targets and clutters than previously proposed CNN classification method.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.214-221
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• 2019

This study attempted to extend Korean Wave literature by investigating (a) the influence of protagonists' personality characteristics and the role of empathy under the affective disposition theory, and (b) the power of some external factors in the entertainment media selection. After watching an episode of the popular Korean drama, Secret Garden, participants completed a survey in the United States. Results demonstrated that (a) the effect of personality characteristics varied across gender and (b) external factors affects the entertainment media selection positively. Findings indicate that media enjoyment is dependent on the audience's external factors.