• Journal of the Korea Computer Industry Society
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• v.7 no.3
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• pp.179-184
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• 2006

many corporation introduce information system by method to maximize profit and to reduce expense within flood of information along with development of Information Technology. In this paper, construed AS-IS using UML that is an object intention methodology design tool via process of TO-BE process model design and so on to base Use Case diagram, sequence diagram, component diagram make out that do and this is Microsoft's .NET And wished to raise reusability of component and development productivity of software as that embody smaller enterprise type business administration system that .NET-based relationship extension is possible.

• Journal of Mechanical Science and Technology
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• v.19 no.5
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• pp.1123-1130
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• 2005

In view of the lack of efficient coordination of interdependent task in the collaborative design system, the mechanisms for temporal and resource coordination problems are established based on Petri Nets, respectively. Both of the mechanisms are encapsulated and implemented in the coordination component so as to increase the flexibility and acceptability of the system. We model the CSCW system based on Petri Nets for simulation, analysis and optimization. A case study on the overhead traveling crane is given to demonstrate and validate our theory.

• KSCI Review
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• v.12 no.1
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• pp.9-19
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• 2004

This paper proposes ACA (Adaptive Component Analysis) as a method for feature extraction and analysis of the content-based image retrieval system. For satisfactory retrieval, the features extracted from images should be appropriately applied according to the image domains and for this. retrieval measurement is Proposed in this study. Retrieval measurement is a standard indicating how important the value of a relevant feature is to image retrieval ACA is a middle stage for content-based image retrieval and it purposes to improve the retrieval speed and performance.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.283-284
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• 2006

In this paper, we propose a novel segmentation and classification method using texture features for the document image. First, we extract the local entropy and then segment the document image to separate the background and the foreground using the Otsu's method. Finally, we classify the segmented regions into each component using PCA(principle component analysis) algorithm based on the texture features that are extracted from the co-occurrence matrix for the entropy image. The entropy-based segmentation is robust to not only noise and the change of light, but also skew and rotation. Texture features are not restricted from any form of the document image and have a superior discrimination for each component. In addition, PCA algorithm used for the classifier can classify the components more robustly than neural network.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.457-460
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• 2002

복잡한 응용 프로그램을 빠르게 개발하고 이의 유지보수가 용이하도록 하기 위해 재사용 가능한 컴포넌트 기반의 소프트웨언 개발(CBD: Component-Based Development)개념이 확산되고 있고, 이와 관련 되어 컴포넌트 재사용성을 높이기 위한 EJB, COM, CCM 등과 같은 컴포넌트 모델과 이의 개발 및 이미 개발된 컴포넌트를 재사용하고자 하는 연구가 다양하게 진행되고 있다. 컴포넌트를 기반으로 시스템을 효과적으로 구성하기 위해서는 컴포넌트들이 서로 정확하게 결합하여 작동할 수 있는 아키텍쳐를 기반으로 컴포넌트의 조림 작업이 이루어져야 한다. 잘 정의된 아키텍쳐가 존재하면, 시스템이 상위수준에서 어떻게 구성되어 있고, 어떠한 기능을 수행하는지의 방향을 제시해 주므로 조립하는 시스템이 제공하는 서비스를 추상화하여 표현할 수 있다. 본 논문은 제 삼자에 의해 개발된 컴포넌트들의 조림을 통한 시스템 개발을 지원하기 위하여 아키텍쳐 기반의 시스템 설계 방법을 제안하고 이를 지원하는 도구인 COBALT(Component-Based Application DeveLopment Tool) 조립도구의 아키텍쳐 모델러를 소개한다.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.873-876
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• 2000

The information-theoretic approach to face recognition is based on the compact coding where face images are decomposed into a small set of basis images. Most popular method for the compact coding may be the principal component analysis (PCA) which eigenface methods are based on. PCA based methods exploit only second-order statistical structure of the data, so higher- order statistical dependencies among pixels are not considered. Independent component analysis (ICA) is a signal processing technique whose goal is to express a set of random variables as linear combinations of statistically independent component variables. ICA exploits high-order statistical structure of the data that contains important information. In this paper we employ the ICA for the efficient feature extraction from face images and show that ICA outperforms the PCA in the task of face recognition. Experimental results using a simple nearest classifier and multi layer perceptron (MLP) are presented to illustrate the performance of the proposed method.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.145-148
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• 2019

Principal Component Analysis (PCA) is a powerful technique in data analysis and widely used to detect anomalies in Wireless Sensor Networks. However, the performance of conventional PCA is not high on time-series data collected by sensors. In this paper, we propose a Joint Exponential Smoothing and Trend-based Principal Component Analysis (JES-TBPCA) for Anomaly Detection which is based on conventional PCA. Experimental results on a real dataset show a remarkably higher performance of JES-TBPCA comparing to conventional PCA model in detection of stuck-at and offset anomalies.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.1
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• pp.48-54
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• 2011

As personal or compact devices with image acquisition functionality are becoming easily available for common users, the voluminous images that need to be managed by image related services or systems demand efficient and effective methods in the perspective of image identification. The objective of image identification is to associate an image with a unique identifier. Moreover, whenever an image identifier needs to be regenerated, the newly generated identifier should be consistent. In this paper, we propose three image identifier generation methods utilizing image features: linear component, luminance area, and combination of both features. The linear component based method exploits the information of distribution of partial lines over an image, while the luminance area based method utilizes the partition of an image into a number of small areas according to the same luminance degree. The third method is proposed in order to take advantage of both former methods. In this paper, we also demonstrate the experimental evaluations for uniqueness and similarity analysis that have shown favorable results.

• Journal of Korea Spatial Information System Society
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• v.3 no.2 s.6
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• pp.21-43
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• 2001

The environment to development information system including a GIS has been drastically changed in recent years in the perspectives of the complexity and diversity of the software, and the distributed processing and network computing, etc. This leads the paradigm of the software development to the CBD(Component Based Development) based object-oriented technology. As an effort to support these movements, OGC has released the abstract and implementation standards to enable approaching to the service for heterogeneous geographic information processing. It is also common trend in domestic field to develop the GIS application based on the component technology for municipal governments. Therefore, it is imperative to adopt the component technology considering current movements, yet related research works have not been made. This research is to propose a component-based GIS development methodology-ATOM(Advanced Technology Of Methodology)-and to verify its adoptability through the case study. ATOM can be used as a methodology to develop component itself and enterprise GIS supporting the whole procedure for the software development life cycle based on conventional reusable component. ATOM defines stepwise development process comprising activities and work units of each process. Also, it provides input and output, standardized items and specs for the documentation, detailed instructions for the easy understanding of the development methodology. The major characteristics of ATOM would be the component-based development methodology considering numerous features of the GIS domain to generate a component with a simple function, the smallest size, and the maximum reusability. The case study to validate the adoptability of the ATOM showed that it proves to be a efficient tool for generating a component providing relatively systematic and detailed guidelines for the component development. Therefore, ATOM would lead to the promotion of the quality and the productivity for developing application GIS software and eventually contribute to the automatic production of the GIS software, the our final goal.

• The Korea Journal of Herbology
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• v.27 no.1
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• pp.35-39
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• 2012

Objectives : The purpose of this study was to investigate the changes in the contents of constituents in Samultang and its fermentations with 10 species of lactic acid bacteria. Methods : Ten strains of lactic acid bacteria, Lactobacillus casei, L. acidophilus, L. casei, L. plantarum, L. amylophilus, L. curvatus, L. delbruekil subsp. lactis, L. casei, B. breve, and B. thermophilum, were used for the fermentation of Samultang. The increased and decreased constituents were identified using HPLC/DAD and various liquid chromatographic techniques, and the structure was elucidated using NMR and MS. These compounds were quantitatively analyzed using an HPLC/DAD system. Results : A remarkably increased component was identified to be nodakenetin and a decreased component was determined to be nodakenin. The fermentation of the ten lactic acid bacteria demonstrated that the decomposable rate of these two compounds in fermented Samultang were different. Samultang fermented by L. plantarum showed the most remarkable changes. Conclusion : Nodakenetin was identified as bioconversion component after fermentation and L. plantarum was discovered the best bacteria to increase the component.