• Journal of Korean Society for Geospatial Information Science
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• v.19 no.2
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• pp.9-17
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• 2011

For the exact status of the land such as land cover classification and land use classification, feature classification system has been utilized in several organizations and agencies. However, those classification systems are limited to detection of land change and it's also not suited for the extraction of land changed. In this study, we would proposed a standard feature classification system which presents both in natural and artificial change of land effectively. Based on comparison and analysis of domestic and foreign relevant feature classification system, we proposed a standard feature classification system. In order to validate the applicability of the proposed feature classification system, we evaluated the accuracy with using automatic feature classification based on supervised classification and pre-knowledge hierarchical classification.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.693-695
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• 2016

축산 농가에서 돈사의 효율적인 관리를 위해 카메라를 이용한 자동 모니터링 기법이 중요한 이슈로 떠오르고 있다. 그러나 컬러 영상에서 돈사의 보온등 조명에 직접 노출된 돼지들이 노출 과다 현상에 의해 탐지되지 않는 문제가 발생한다. 본 논문에서는 컬러 영상에서 돼지가 탐지되지 않는 문제를 해결하기 위해 Kinect 2 카메라로부터 획득한 깊이 영상을 이용하여 돼지를 탐지하는 방법을 제안한다. 즉, 깊이 영상을 이용하여 깊이 정보 값을 보정한 후 바닥과 돼지의 깊이 정보 값의 차이를 통해 돼지들의 영역을 탐지한다. 실험 결과, 깊이 영상을 이용하여 보온등 조명에 과다 노출된 돼지의 영역을 탐지하고 히스토그램 평활화를 적용함으로써, 컬러 영상에서 돼지들이 탐지되지 않는 문제를 해결하였다.

• Korean Journal of Remote Sensing
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• v.36 no.5_2
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• pp.975-988
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• 2020

Change detection is the process of identifying changes by observing the multi-temporal images at different times, and it is an important technique in remote sensing using satellite images. Among the change detection methods, the unsupervised change detection technique has the advantage of extracting rapidly the change area as a binary image. However, it is difficult to understand the changing pattern of land cover in binary images. This study used grid points generated from seamless digital map to evaluate the satellite image change detection results. The land cover change results were extracted using multi-temporal KOMPSAT-3A (K3A) data taken by Gimje Free Trade Zone and change detection algorithm used Spectral Angle Mapper (SAM). Change detection results were presented as binary images using the methods Otsu, Kittler, Kapur, and Tsai among the automated threshold selection algorithms. To consider the seasonal change of vegetation in the change detection process, we used the threshold of Differenced Normalized Difference Vegetation Index (dNDVI) through the probability density function. The experimental results showed the accuracy of the Otsu and Kapur was the highest at 58.16%, and the accuracy improved to 85.47% when the seasonal effects were removed through dNDVI. The algorithm generated based on this research is considered to be an effective method for accuracy assessment and identifying changes pattern when applied to unsupervised change detection.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.211-217
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• 2012

Conventional GrabCut algorithm is semi-automatic algorithm that user must be set rectangle window surrounds the object. This paper studied automatic object detection to solve these problem by detecting salient region based on Human Visual System. Saliency map is computed using Lab color space which is based on color opposing theory of 'red-green' and 'blue-yellow'. Then Saliency Points are computed from the boundaries of Low-Frequency region that are extracted from Saliency Map. Finally, Rectangle windows are obtained from coordinate value of Saliency Points and these windows are used in GrabCut algorithm to extract objects. Through various experiments, the proposed algorithm computing rectangle windows of salient region and extracting objects has been proved.

• Journal of the Korea Institute of Military Science and Technology
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• v.9 no.3
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• pp.33-40
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• 2006

In towed array passive sonar system, sonar operators cannot detect and track the all targets simultaneously in the omni-directional area by just Operator Initiated Tracking(OIT). In this paper, omni-directional automatic target detection and tracking algorithm is described and optimize the parameters through ocean data to overcome the drawbacks of OITs. The algorithm is verified through sea trials with submarines.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.3
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• pp.622-626
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• 2005

This paper presents an active vision system for ITS(intelligent transportation system : ITS). We have described a novel method to provide high quality imaging signals to a system that will perform passenger detection and counting in the roadway. The method calls for two co-registered near-infrared cameras with spectral sensitivity above (upper-band) and below (lower-band) the quality of the signal remains. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.137-140
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• 2019

본 논문에서는 자동 제어 시스템의 이상행위를 분석하기 위하여 MODBUS 프로토콜 기반의 제어 명령을 수집 분류하여 등록된 화이트리스트 기반으로 이를 탐지하는 시스템을 구현하였다. 구현 시스템은 자동 제어 시스템 기반으로 다양한 생산설비를 동작시키는 스마트팩토리 시스템을 비롯하여 국가기간 산업에 활용 가능하며, 생산설비의 이상 작동을 확인하기 위하여 생산설비의 동작 신호를 주기적으로 수집 분석하여 정상적인 작업형태에서 벗어나는 이상 작업을 판단할 수 있도록 구성하였다. 또한, 소형화된 공장 자동화 설비를 구성하여 실제 스마트팩토리 환경에서 제어명령을 수집하고, 수집된 신호로부터 이상 작동을 검출하는 제안 시스템의 구현 결과를 설명한다.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.7-8
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• 2014

The smart fire detection and automatic extinguish device interface platform based on thermal imaging camera that early monitors fire is designed and implemented in this paper. If a fire occurs in some area, the developed system can detect and automatically extinguish the fire. The major functions for developing the system are: Image system and Viewer for fire detection based on Thermal imaging camera and Megapixel camera; Automatic extinuish device for early fir detection; Interface platform between monitoring systems and automatic extinguish device.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.4
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• pp.869-882
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• 2012

With the growth of Web services and the development of web exploit toolkits, web-based malware has increased dramatically. Using Javascript Obfuscation, recent web-based malware hide a malicious URL and the exploit code. Thus, pattern matching for network intrusion detection systems has difficulty of detecting malware. Though various methods have proposed to detect Javascript malware on a users' web browser, the overall detection is needed to counter advanced attacks such as APTs(Advanced Persistent Treats), aimed at penetration into a certain an organization's intranet. To overcome the limitation of previous pattern matching for network intrusion detection systems, a novel deobfuscating method to handle obfuscated Javascript is needed. In this paper, we propose a framework for effective hidden malware detection through an automated deobfuscation regardless of advanced obfuscation techniques with overriding JavaScript functions and a separate JavaScript interpreter through to improve jsunpack-n.

• Review of KIISC
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• v.22 no.8
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• pp.7-14
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• 2012

이메일 스팸메일의 대부분은 악성코드에 감염된 좀비PC에 의해 발송된다. '11년 시만텍 보고서에 따르면 한국발 좀비PC에 의한 스팸메일 발송이 세계 1위를 차지했으며, '12년에도 상위수준을 유지하고 있다. 본 논문에서는 이메일의 패턴 분석을 통해 좀비PC 및 같은 공격명령을 받은 봇넷그룹을 자동으로 탐지하는 시스템을 개발하고, 이를 통해 산출된 다양한 데이터에 대한 분석결과를 제시한다. 좀비PC 및 봇넷그룹 탐지결과는 스팸메일 차단기술로 활용 가능할 뿐 아니라, 악성코드 유포동향 파악 등 다양한 목적의 분석에 활용 가능하다.