• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.464-466
• /
• 2003

In this paper an advanced algorithm for selecting a seam line automatically, which used to be selected by human operator for mosaicked images is presented. In addition to four factors proposed by automation theory, the FOM(Figure Of Merit) of tie point were taken into account to suggest the method to select a seam line applicatively and the algorithm was applied to mosaic test images.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.210-212
• /
• 2003

Active sensors are rapidly conquering a share on the remote sensing market and offer among others new possibilities toward automatically acquiring 3D building data. Better dissemination of information about new technological developments can possibly be achieved by short distance-learning courses. The paper describes the didactic and technical aspects of a course we have designed and conducted on airborne laser scanning and interferometric SAR. The building extraction application is a good example to illustrated the added value of short electronic-learning courses above simply publishing (digital) papers.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2004.05a
• /
• pp.507-511
• /
• 2004

그리드 VO(Virtual Organization)는 내부 규정과 정책의 집합에 의하여 제어되는 기존의 VO 개념에서 벗어나 임시적, 동적 기반의 자원 공유와 협업을 하기 위해 개인 또는 기관, 시스템 자원이 모인 임시적인 VO이다. 이것은 개인 또는 기관, 시스템 자원들이 동시에 몇 개의 VO의 일원이 되는 경우나 변화하는 시스템 자원의 상황에 따라 VO 구성을 위한 결합, 형성된 그리드 VO에 대한 인증에서 많은 문제가 발생하게 된다. 본 논문에서는 그리드 VO 구성에서 발생할 수 있는 보안 문제 중 자원에 대한 인증과 관련된 문제를 해결하고자 XML 정보보호기술을 토대로 경량화된 그리드 VO에 대한 자원 인증 시스템을 제안하였다.

• Proceedings of the Korea Society for Simulation Conference
• /
• 2003.11a
• /
• pp.147-151
• /
• 2003

Yield enhancement in semiconductor fabrication is important. Even though DRAM yield loss may be attributed to many problems, the existence of defects on the wafer is one of the main causes. When the defects on the wafer form patterns, it is usually an indication for the identification of equipment problems or process variations. In this paper describes the techniques to automatically classify a failure pattern using a fail bit map.

• Journal of the Korea Society of Computer and Information
• /
• v.5 no.3
• /
• pp.215-219
• /
• 2000

The purpose of this paper is to propose a method to maximize the efficiency of a content-based image retrieval for various kinds of images. This paper discuss the self-adaptivity for the change of image domain and the self-selection of optimal features for query image, and present the efficient method to maximize content-based retrieval for various kinds of images. In this method, a content-based retrieval system is adopted to select automatically distinctive feature patterns which have a maximum efficiency of image retrieval in various kinds of images. Experimental results show that the Proposed method is improved 3% than the method using individual features.

• Journal of Advanced Information Technology and Convergence
• /
• v.8 no.2
• /
• pp.119-127
• /
• 2018

Training a very large deep neural network can be painfully slow and prone to overfitting. Many researches have done for overcoming the problem. In this paper, a combination of early stopping and ADAM based deep neural network was presented. This form of deep network is useful for handling the big data because it automatically stop the training before overfitting occurs. Also generalization ability is better than pure deep neural network model.

• Journal of Broadcast Engineering
• /
• v.27 no.7
• /
• pp.1034-1042
• /
• 2022

Internet of Media Things (IoMT) aims to provide intelligent media services to users by connecting (media) things to each other and exchanging media data. The mission given by the user is automatically executed, and intelligent media service can be provided to the user. To achieve this, ISO/IEC 23093-5 started standardization work on the mission data given by the user to the media thing and the media thing controller (MController) that controls the media things. This paper introduces the contents of ISO/IEC 23093-5.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.601-605
• /
• 2009

The objective of this research is to develop a knowledge discovery framework which can help project teams discover useful patterns to improve energy efficient building design. This paper utilizes the technology of data mining to automatically extract concepts, interrelationships and patterns of interest from a large dataset. By applying data mining technology to the analysis of energy efficient building designs one can identify valid, useful, and previously unknown patterns of energy simulation modeling.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.11a
• /
• pp.335-336
• /
• 2009

In this paper, I propose an automatic approach to annotating images dynamically based on MBRM(Multiple Bernoulli Relevance Models) using GLCM(Grey Level Co-occurrence Matrix). MBRM is more appropriate to annotate images compare with multinomial distribution. The model is used in limited test set, MSRC-v2 (Microsoft Research Cambridge Image Database). The results show that this model is significantly outperforms previously reported results on the task of image annotation and retrieval.

• 제어로봇시스템학회:학술대회논문집
• /
• 2002.10a
• /
• pp.64.6-64
• /
• 2002

This paper presents a procedure of implementing a robust controller for a paper-making plant in DCSs. A paper-making process generally has triple problems to automatically tune its output qualities : Long transport delays which are not able to be simply linearized. The transfer matrix of the process is not square. And every plant model has some uncertainty in low and middle frequency region. To tackle these problems, a multi-input / multi-output (MIMO) plant model having some uncertainty was derived by considering some physical and mechanical principles of the process. Then a MIMO robust \ulcornercontroller is designed and implemented in a real DCS as function block type. Som...