• Journal of Korea Multimedia Society
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• v.25 no.3
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• pp.468-475
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• 2022

Currently, fine dust forecast models are operated by dividing the country into 19 regions. Therefore, it is important to reduce the learning time and the number of models as well as accurate forecast performance to operate lots of forecast models. In this paper, we develop a categorical wide area model that outputs forecast results categorically and integrates the regions with similar regional characteristics. The proposed model improved the convergence rate by 223 times compared to the existing model, which outputs at a single concentration value, and reduced the number of forecast models by a third.

• Proceedings of the KIEE Conference
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• 2005.05a
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• pp.230-232
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• 2005

This paper proposes a Distributed Transaction models based on the multimedia framework (MPEG-21) in digital convergence environment. Digital media market is growing up rapidly according to the extension of internet and universality of multimedia contents. So, importance of the effective management with the production and distribution of produced multimedia contents is becoming larger. For effective management of multimedia contents, the multimedia contents which are represented with different standard each other can be processed adaptively in the variable network environment. A free compatibility among the different terminals and standards are the essential particular should be offered for the digital convergence environment. A multimedia framework supports this compatibility and various multimedia services. In this paper, the Distributed Transaction models that multimedia contents can be circulated among the individual users safely and freely are proposed and the relation technologies are described.

• East Asian Economic Review
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• v.25 no.4
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• pp.403-424
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• 2021

AdaBoost tweaks the sample weight for each training set used in the iterative process, however, it is demonstrated that it provides more correlated errors as the boosting iteration proceeds if models' accuracy is high enough. Therefore, in this study, we propose a novel way to improve the performance of the existing AdaBoost algorithm by employing heterogeneous models and a stochastic twist. By employing the heterogeneous ensemble, it ensures different models that have a different initial assumption about the data are used to improve on diversity. Also, by using a stochastic algorithm with a decaying convergence rate, the model is designed to balance out the trade-off between model prediction performance and model convergence. The result showed that the stochastic algorithm with decaying convergence rate's did have a improving effect and outperformed other existing boosting techniques.

• Journal of Korea Artificial Intelligence Association
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• v.1 no.1
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• pp.17-21
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• 2023

The primary objective of this research is to utilize machine learning models to analyze factors tailored to each dataset for predicting mental health conditions. The study aims to develop appropriate models based on specific datasets, with the goal of accurately predicting mental health states through the analysis of distinct factors present in each dataset. This approach seeks to design more effective strategies for the prevention and intervention of depression, enhancing the quality of mental health services by providing personalized services tailored to individual circumstances. Overall, the research endeavors to advance the development of personalized mental health prediction models through data-driven factor analysis, contributing to the improvement of mental health services on an individualized basis.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.17-26
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• 2012

Information technology convergence has been recognized one of the key drivers in the industry perspective. Korea government established IT convergence policy in 2008 and has been implementing it to the core industry such as automotive, shipbuilding and defense industries. This research analyzes various IT convergence issues based on an operation of defense IT convergence center, one of the industry IT convergence centers. Defense IT convergence issues are as follows : the methods for introducing rapid changing IT to military area, rapid deployment procedures of verified commercial technologies and products, regulations for using of domestic software promotion and so on. We define the concept of defense IT convergence and propose the framework and processes for applying IT to our defense sector as one of industries. Also, we establish various business models in the military perspective using defense IT convergence framework. In this paper, we focus the development of defense IT convergence through the alignment of national IT convergence policy and propose various business models established through operating a defense IT convergence center.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.225-229
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• 2020

In this study, the deformation and stress on each model was analyzed and the strength was compared with each other when the impacts on a total of four smart phone models was given. Models B and D with cases can be seen to have less deformation and stress than models A and C without cases. The models including the case have higher masses than the models without the case. So, the deformation and stress can be reduced by absorbing the impact force. In addition, the masses of models C and D are smaller than models A and B, but the stresses and deformations are seen to be smaller. If a case specialized for edge protection is chosen and designed when manufacturing a smart-phone in order to absorb the shock while weighing less, it is thought to improve the strength of the smart-phone and increase the durability. And it is seen that this study is adequate at the efficient design with durability of smart phone case practically and the aesthetic convergence of smart phone.

• Communications of the Korean Mathematical Society
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• v.25 no.2
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• pp.313-325
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• 2010

General models for the relaxed proximal point algorithm using the notion of relative maximal accretiveness (RMA) are developed, and then the convergence analysis for these models in the context of solving a general class of nonlinear inclusion problems differs significantly than that of Rockafellar (1976), where the local Lipschitz continuity at zero is adopted instead. Moreover, our approach not only generalizes convergence results to real Banach space settings, but also provides a suitable alternative to other problems arising from other related fields.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.354-357
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• 2008

In this paper, we develop business models for the robot industry that facilitates to explore new business opportunities in the convergence age. Considering the trend of convergence society, we analyze the market drivers. Analyzing market dynamics and value chain, we design a set of the business model for the robot industry focused on u-health robots. In addition, we describe the evolution path of the proposed business model in terms of technology development and market. Finally, we develop a framework for evaluating the effectiveness of the business model.

• Journal of the Korean Mathematical Society
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• v.58 no.2
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• pp.327-349
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• 2021

In this paper, we main study the strong law of large numbers and complete convergence for weighted sums of asymptotically almost negatively associated (AANA, in short) random variables, by using the Marcinkiewicz-Zygmund type moment inequality and Roenthal type moment inequality for AANA random variables. As an application, the complete consistency for the weighted linear estimator of nonparametric regression models based on AANA errors is obtained. Finally, some numerical simulations are carried out to verify the validity of our theoretical result.

• Journal of Institute of Convergence Technology
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• v.2 no.2
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• pp.30-34
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• 2012

The SI thermochemical cycle process accomplishes water splitting through distinctive three chemical reactions. We focused on thermodynamic models applicable to the process. Recently, remarkable models based on the assumed ionic species have been developed to describe highly nonideal behavior on the liquid phase reactions. ElecNRTL models with ionic reactions were proposed in order to provide reliable process simulation results for phase equilibrium calculations in Section II and III. In this study, the current thermodynamic models of SI thermochemical cycle process were briefly described and the calculation results of the applied ElecNRTL models for phase equilibrium calculations were illustrated for binary systems.