• Journal of Digital Contents Society
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• v.19 no.2
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• pp.415-423
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• 2018

In recent years, Computer-based learning, such as machine learning and deep learning in the computer field, is attracting attention. They start learning from the lowest level and propagate the result to the highest level to calculate the final result. Research literature has shown that systematic learning and growth can yield good results. However, systematic models based on systematic models are hard to find, compared to various and extensive research attempts. To this end, this paper proposes the first TNT(Transitive Nested Triangle)model, which is a growth and fusion model that can be used in various aspects. This model can be said to be a recursive model in which each function formed through geometric forms an organic hierarchical relationship, and the result is used again as they grow and converge to the top. That is, it is an analytical method called 'Horizontal Sibling Merges and Upward Convergence'. This model is applicable to various aspects. In this study, we focus on explaining the TNT model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.2
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• pp.139-148
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• 2019

The paper proposes an analytical framework for the impact of technical change on business model innovation. Based upon the examination of the relationship between the mission of business and technology, it introduces classification of technology-based business models such as problem-solving model, production model and network model, respectively employing intensive technology, interlinked technology and mediating technology as a key technology. The discussion of various cases of business model innovation shows that the impact of digital technology is first translated into the value generation in terms of efficiency or effectiveness. These new values then enable a new business model which is based on a different key technology through business model shift, expansion, unbundling, or platform. Quite often those business model changes involves system-wide innovation. The framework for the analysis of the impact of technical change on business model innovation is presented with directions for future research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.6
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• pp.1583-1598
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• 2024

With the popularization and application of artificial intelligence technology in daily life, new ethical and moral problems constantly appear in human society. These ethical and moral problems have been associated with people's moral behavior and have become crucial issues. In traditional social situations, researches have proved that moral intensity affects people's moral behavior. However, in the context of applying artificial intelligence technology, the mechanism between moral intensity and moral behavior is unknown. Therefore, this study focuses on the relationship between moral intensity and moral behavior in the context of applying artificial intelligence technology, and introduces a new concept - technology moral sense (TMS) into the theoretical model. Research method: We set various situations of applying artificial intelligence technology and adopt the situational experiment method to analyze the relationship between moral intensity and moral behavior in different application scenarios. The results show that moral intensity has a significant influence on moral behavior, while the technology moral sense performs a mediating function.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.356-365
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• 2013

As a form of reciprocity or exchange, gift giving is one of the processes that integrate a society. There has been a long history of research on gift giving behavior in the communication area. Recently with the advent of digital environment, digital contents gift giving behavior became a prevalent social custom. But there has been little research of an individual consumer's consumption behavior of digital contents gift giving. Drawing on the innovation theory, technology acceptance model, and gift giving literature, the author take a quantitative approach to the effect of innovation attributes on mobile coupon gift giving behavior. The result showed that innovation attribute did positive influence to mobile coupon gift giving behavior. Furthermore, consumer innovation attribute moderate in the relationship between product innovation and mobile gift giving attitude.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.3
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• pp.125-135
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• 2004

IEEE 802.15.3 High Rate WPAN is a mechanism for wireless home network such as PDAs, digital video camcoder, etc. While symmetric keys are used for MAC layer security, the process of establishing a secure membership or a secure relationship is outside of the scope of the standard. In addition, to prepare for ubiquitous environment in the near future, it is important to study the process of establishing a secure relationship between DEVs in different dependent piconets. This paper propose a secure model and a process of establishing a secure relationship using PKI without a ousted certificate authority.

• Steel and Composite Structures
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• v.28 no.5
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• pp.517-525
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• 2018

The specimens made by Z2CND18.12N austenitic stainless steel were conducted on a 100 kN closed loop servo hydraulic tension-compression testing machine with a digital controller. Uniaxial tension and uniaxial ratcheting effect tests were carried out at $25^{\circ}C$. Moreover, Uniaxial tension tests were conducted at $150^{\circ}C$, $250^{\circ}C$ and $350^{\circ}C$. Based on these experimental data, the prediction models of stress-strain curve and the relationship of ratcheting strain and number of cycles were established by the algorithm principle of BP neural network. The results indicated that the predicted results of neural network model were in well agreement with experimental data. It was found that the BP neural network model had high validity and accuracy.

• Journal of Digital Convergence
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• v.6 no.4
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• pp.113-121
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• 2008

This paper aimed to exam relationship of lohas image, customer satisfaction, switching barrier, revisit intention to fast food store. To accomplish this purpose, this study examined previous studies and summmarized. 400 questionaries were distributed to the people living in Daegu/Gyeong-Buk 381 questionaries were obtained and 331 data were analyzed by frequencies, correlation, multiple regression, The results of this study are as follows; First, it is shown that lohas image have a positive influence on the customer satisfaction(p<0.001). Second, it is shown that lohas image have a positive influence on the switching barrier(p<0.001). Third, it is shown that customer satisfaction have a negative influence on the switching barrier(p<0.57). Fourth, it is shown that lohas image have a positive influence on the revisit intention(p<0.05). Fifth, it is shown that customer satisfaction have a positive influence on the revisit intention(p<0.001). Sixth, it is shown that switching barrier have a positive influence on the revisit intention(p<0.001). This study, however, have limitations in obtained sample and area. The future study should consider these limitations to improve model applicability in practice.

• Proceedings of the KSRS Conference
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• v.2
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• pp.852-855
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• 2006

There is an increasing need to use data from different sensors in order to maximize the chances of obtaining a cloud-free image and to meet timely requirements for information. However, the use of data from multiple sensor systems is depending on comprehensive relationships between sensors of different types. Indeed, a study of inter-sensor relationships is well advanced in the effective use of remotely sensed data from multiple sensors. This paper was concerned with relationships between sensors of different types for vegetation indices (VI). The study was conducted using IKONOS and Landsat-7 ETM+ images. IKONOS and Landsat-7 ETM+ image of the same or about the same dates were acquired. The Landsat-7 ETM+ images were resampled in order to make them coincide with the pixel sizes of IKONOS. Inter-relationships of vegetation indices between images were performed using at-satellite reflectance obtained by converting image digital number (DN). All images were applied to topographic normalization method in order to reduce topographic effect in digital imagery. Also, Inter-sensor model equations between two sensors were developed and applied to other study region. In the result, the relational equations can be used to compute or interpret VI of one sensor using the VI of another sensor.

• Journal of Digital Contents Society
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• v.10 no.4
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• pp.615-623
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• 2009

Games are usually composed with several units such as monsters, weapons etc.. There are often intransitive relationships between units, like the one among rock, scissors and paper. Intransitive relationships guarantee the variation of strategy choices while playing. But AIs in many games have been ignored intransitive relationships because decision making with those relationships is complex to model. This paper suggests how to use intransitive relationships to modify influence map. With the modified influence map game AI can make a different decision to win the game. With path-finding technique, this paper shows that the modified influence map makes AI's behaviors better.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.409-418
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• 2016

This study examines how instructor's attractiveness perceived by pilates participants affects participants' flow and passion. The subjects for this study were 214 participants who participated in pilates in Seoul. The reliability and validity test of the questionnaire were conducted by using SPSS & AMOS Window 18.0 program; the results of descriptive analysis, factor analysis, correlation analysis, structural equation model are as follows; First, the instructors' attractiveness affects pilates participants' flow. Second, the instructors' attractiveness has influence on the participants' passion. Third, pilates participants' flow affects their passion. Lastly there is a causal relationship between instructors' attractiveness, flow and passion of pilates participants.