• 한국도서관정보학회지
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• 제34권1호
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• pp.239-260
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• 2003

이 연구는 농학분야의 정보자료를 효율적으로 관리하기 위한 새로운 문헌분류표의 모형을 제시하기 위하여 시도된 것이다. 이를 위해 먼저 농학분야의 학문적 정의와 범위, 체계에 대하여 고찰하였고, 현재 사용되고 있는 KDC, DDC, UDC, NDC 등의 문헌분류법에서 농학분야 주제를 전개하고 있는 강목표에 대하여 비교 분석하였고 NAL의 AGRICOLA SCC를 살펴보았다. 그리고 이를 토대로 농학분야의 새로운 문헌분류표의 강목을 설정하여 전개하였다. 새로운 강목분류표의 전개는 농업과 관련한 인문사회학, 식물관련 농업, 동물관련 농업, 인간과의 관계성, 농업관련 보조분야 순으로 전개하였고, 강목표는 23개의 항목으로 설정되었다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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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.

• 정보처리학회논문지B
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• 제12B권3호
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• pp.323-328
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• 2005

본 연구는 보완 대체 통신을 위한 문장생성에 관한 것이다. 문장생성의 목적은 언어생활이 불편한 사람들을 위한 보완 대체 통신에 사용하기 위해서이다. 보완 대체 통신은 사용자가 원하는 문장을 만들어 음성으로 출력해주는 시스템이다. 문장을 생성하기 위해서 어휘 정보를 보완대체 통신의 개념에 맞도록 변형하여 도입하였고, 어휘정보는 동사에 연결될 수 있는 명사와 조사로 이루어져 있다. 어휘정보를 이용하여 시스템을 구현하였고, 구현된 시스템으로 문장생성의 효용을 측정하였다. 구축된 시스템은 올바른 문장의 생성과 저장, 검색, 어휘입력의 기능을 갖는다.

• 한국정보통신학회논문지
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• 제14권4호
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• pp.795-802
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• 2010

오늘날 기업 경영 환경은 글로벌 환경과 정보기술의 발전 등으로 갈수록 빠른 속도로 복잡하게 변하고 있으며, 수많은 기업들은 급변하는 경영환경에 대응한 경쟁력 확보를 위하여 끊임없는 노력과 변화, 혁신을 추구하고 있다. 이러한 부문별 자동화와 함께 기업 경영의 전체적 최적화를 이루려는 취지에서 등장한 것이 전사적 자원관리(ERP: Enterprise Resource Planning)이다. 특히, ERP 시스템에서 관리회계는 보다 효율적인 내부관리를 위한 부가적인 기능들로 구성되어 있어 많은 시스템을 적극적으로 활용하고 있다. 본 연구에서는 Oracle ERP관리회계 분야의 표준원가를 살펴보고 표준원가에서 발생하는 실제원가와의 변량차이 분석을 시도하였다. 이를 통하여 실제 발생된 재료비와 간접재료비에 가까운 원가요소를 얻는 방법을 구현하여 Oracle ERP 시스템의 원가운영에 적용하였다.

• 대한원격탐사학회지
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• 제20권1호
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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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• 제15권9호
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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.

• 웰빙융합연구
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• 제6권3호
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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".

• 한국지리정보학회지
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• 제15권1호
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• pp.16-33
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• 2012

본 연구에서는 크리깅 기법 중 가장 일반적으로 사용되고 있는 정규 크리깅(ordinary kriging)과 여러 보조 자료를 활용한 회귀 모델에 크리깅 기법을 결합한 형태인 회귀 크리깅(regression kriging)을 이용하여 지상부 바이오매스의 탄소저장량 추정을 시도하였다. 분석 결과 단양군의 산림 탄소저장량은 정규 크리깅의 경우 3,459,902 tonC, 회귀 크리깅의 경우 3,384,581 tonC로 추정되었으며 회귀 크리깅에 이용된 회귀 모델의 결정계수는 0.1033으로 나타났다. 표본점을 임상별로(활엽수림, 침엽수림&혼효림) 층화하여 회귀 크리깅을 수행한 경우에는 탄소저장량은 3,336,206 tonC로 가장 낮게 추정되었으며 회귀 모델의 결정 계수는 각각 0.35, 0.18로 표본점 전체를 이용했을 때보다 높은 값을 보였다. 각 기법의 교차 검증(cross validation) 결과 표본점 전체를 이용한 회귀 크리깅의 RMSE(22.32 ton/ha)가 가장 낮았으나 기법간의 차이(0.23 ton/ha)는 크지 않은 것으로 나타났다.

• 제어로봇시스템학회논문지
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• 제20권2호
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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.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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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.