• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.346-350
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• 2009

Digital Multimedia Broadcasting (DMB) is the mobile TV service based on a digital radio transmission system that provides high quality audio/video and other auxiliary data services. As users want to store the DMB content in their device to be consumed later or to be shared among users, a standardized format needs to be specified to guarantee the interoperability for the DMB contents for various devices. DMB AF (Application Format) specification defines a file format for DMB contents and services. It specifies how to combine the variety of DMB contents with associated information for a presentation in a well-defined format that facilitates storage, interchange, management, editing, and presentation of the DMB contents in protected, governed, and interoperable ways. In this paper we present our implementation of DMB AF as part of the development of DMB AF reference software. Our implementation of DMB AF is developed as the reference software for the standard specification that consists of a three applications: packager, media player, metadata browser and collection of supporting libraries used by the applications.

• The KIPS Transactions:PartB
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• v.12B no.3 s.99
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• pp.323-328
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• 2005

This study is sentence generation for Augmentative and Alternative Communication. The object of sentence generation is to use in augmentative and alternative communication which is designed for those who are nonspeaking disorders. AAC generates human voice with using a sentence which is made up by the users. In order to construct a sentence, lexical information was adapted for a concept of augmentative and alternative communication. The lexical informations consist of noun types which can be connected to verbs, auxiliary words, conjugation of verbs and verb types. The system was made using lexical information and the usefulness of the sentence generation was measured by the system. The system constructed has functions of generation and saving right sentences, searching and inputting vocabularies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.4
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• pp.795-802
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• 2010

Currently, the business environment has been rapidly changed due to the fast globalization and development of information technology. Therefore, many companies are trying to change their management system by improving their own decision making systems and innovations. Many domestic enterprises are introducing or considering the ERP system. In the field of ERP management accounting, there are many auxiliary functions for helping efficient internal management analysis for company. In this paper, we proposed and developed an improved method for minimize the variance between standard cost and actual cost of materials of the company. In this method we proposed efficient ERP cost management system considering current cost component including currency and actual material cost and overhead costs.

• Korean Journal of Remote Sensing
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• v.20 no.1
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• pp.57-64
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• 2004

In GIS-based network analysis, topological measure of network structure can be considered as one of important factors in the urban transportation analysis. Related to this measure, it is known that the connectivity indices such as alpha index and gamma index, which mean degree of network connectivity and complexity on a graph or a circuit, provide fundamental information. On the other hand, shimbel index is one of GIS-based spatial metrics to characterize degree of network concentration. However, the approach using these quantitative indices has not been widely used in practical level yet. In this study, an application program, in complied as extension, running on ArcView- GIS is implemented and demonstrated case examples using basic layers such as road centerline and administrative boundary. In this approach, geo-spatial imagery can be effectively used to actual applications to determine the analysis zone, which is composed of networks to extract these indices. As the results of the implementation and the case examples, it is notified that alpha and gamma indices as well as shimbel index can be used as referential data or auxiliary information for urban planning and transportation planning.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.9
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• pp.3204-3220
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• 2021

We perform the task of video object segmentation by incorporating a conditional random field (CRF) and convolutional neural networks (CNNs). Most methods employ a CRF to refine a coarse output from fully convolutional networks. Others treat the inference process of the CRF as a recurrent neural network and then combine CNNs and the CRF into an end-to-end model for video object segmentation. In contrast to these methods, we propose a novel higher-order CRF model to solve the problem of video object segmentation. Specifically, we use CNNs to establish a higher-order dependence among pixels, and this dependence can provide critical global information for a segmentation model to enhance the global consistency of segmentation. In general, the optimization of the higher-order energy is extremely difficult. To make the problem tractable, we decompose the higher-order energy into two parts by utilizing auxiliary variables and then solve it by using an iterative process. We conduct quantitative and qualitative analyses on multiple datasets, and the proposed method achieves competitive results.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.3
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• pp.25-32
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• 2023

Purpose: This study is to improve awareness of MSDS in order to prevent university accidents and protect university laboratory workers. In order to improve awareness, measures to increase accessibility through auxiliary means (warning signs, One Page Sheet MSDS, etc) and ways to strengthen safety training (improvement and strengthen MSDS training). Research design, data and methodology: A questionnaire survey was adopted as a research method for this study. Question items were selected, modified, and supplemented by referring to the previous paper. Results: As a result of the survey, MSDS found that it was difficult to find the information they wanted and that there were many technical terms and limitations in using it. In addition, MSDS training is underway, but few university laboratory workers felt that training was helping. This shows that the effectiveness of training is virtually insignificant. Therefore, it seems that improvement measures are needed to solve this. Conclusions: One Sheet MSDS, an effective way for university laboratory workers to communicate information, and MSDS information should be provided with warning signs with large phrases and good visibility. In addition, this study proposes a One Sheet MSDS that prioritizes important MSDS items over all items in the MSDS, and in the field of education, several improvements are proposed, such as "To prevent problems and answers from being shared on the Internet" and "To improve the difficulty of checking the online curriculum".

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.16-33
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• 2012

The aim of this study is to estimate aboveground biomass carbon stocks using ordinary kriging(OK) which is the most commonly used type of kriging and regression kriging(RK) that combines a regression of the auxiliary variables with simple kriging. The analysis results shows that the forest carbon stock in Danyang is estimated at 3,459,902 tonC with OK and 3,384,581 tonC with RK in which the R-square value of the regression model is 0.1033. The result of RK conducted with sample plots stratified by forest type(deciduous, conifer and mixed) shows the lowest estimated value of 3,336,206 tonC and R-square value(0.35 and 0.18 respectively) is higher than that of when all sample plots used. The result of leave-one-out cross validation of each method indicates that RK with all sample plots reached the smallest root mean square error(RMSE) value(22.32 ton/ha) but the difference between the methods(0.23 ton/ha) is not significant.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.2
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• pp.170-174
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• 2014

In this paper, an unknown input estimation method via the optimal FIR smoother is proposed for linear discrete-time systems. The unknown inputs are represented by random walk processes and treated as auxiliary states in augmented state space models. In order to estimate augmented states which include unknown inputs, the optimal FIR smoother is applied to the augmented state space model. Since the optimal FIR smoother is unbiased and independent of any a priori information of the augmented state, the estimates of each unknown input are independent of the initial state and of other unknown inputs. Moreover, the proposed method can be applied to stochastic singular systems, since the optimal FIR smoother is derived without the assumption that the system matrix is nonsingular. A numerical example is given to show the performance of the proposed estimation method.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.491-493
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• 2004

In this paper, a direct controller for nonlinear plants using a neural network is presented. The controller is composed of an approximate controller and a neural network auxiliary controller. The approximate controller gives the rough control and the neural network controller gives the complementary signal to further reduce the output tracking error. This method does not put too much restriction on the type of nonlinear plant to be controlled. In this method, a RBF neural network is trained and the system has a stable performance for the inputs it has been trained for. Simulation results show that it is very effective and can realize a satisfactory control of the nonlinear system.

• Proceedings of the IEEK Conference
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• 2000.11d
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• pp.227-230
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• 2000

The sign-language can be used as an auxiliary communication means between avatars of different languages in cyberspace. At that time, an intelligent communication method can also be utilized to achieve real-time communication, where intelligently coded data (joint angles for arm gestures and action units for facial emotions) are transmitted instead of real pictures. In this paper, a method of generating the facial gesture CG animation on different avatar models is provided. At first, to edit emotional expressions efficiently, a comic-style facial model having only eyebrows, eyes, nose, and mouth is employed. Then generation of facial emotion animation with the parameters is also investigated. Experimental results show a possibility that the method could be used for the intelligent avatar communications between Korean and Japanese.