• Title/Summary/Keyword: 매칭율

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A Study on Combined IDS Model For Performance Improving (성능 향상을 위한 통합 침입 탐지시스템에 대한 연구)

  • Hong, Seong-Kil;Won, Il-Yong;Song, Doo-Heon;Lee, Chang-Hun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.11c
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    • pp.1843-1846
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    • 2003
  • 네트워크 기반의 공격 및 비정상 행위를 정확히 탐지하고 판단하기 위한 기존의 탐지 모델은 공격 룰셋의 패턴매칭 기반인 Misuse Detection System을 사용하고 있다. 그러나 이 시스템의 특성상 새로운 공격의 미탐지 및 공격 오인등으로 False Positive 가 높다는 단점이 있다. 본 논문은 전체 시스템의 성능을 판정하는 False Positve 에러율을 줄여 성능을 향상하기 위해 Meachine Learning기반의 Anomaly Detection System 을 결합한 새로운 탐지 모델을 제안하고자 한다. Anomaly Detection System 은 정상행위에 대한 비교적 높은 탐지율과 새로운 공격에 대한 탐지가 용이하다. 본 논문에서는 각 시스템의 탐지모델로 Snort 와 인스턴스 기반의 알고리즘인 IBL 을 사용했으며, 결합모델의 타당성을 검증하기 위해서 각 탐지 모델의 False Positive와 False Negative 에러율을 측정하였다.

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Efficient Iris Region Detection (효율적인 홍채영역 검출)

  • 오종환;박철현;오상근;박길흠
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.267-270
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    • 2001
  • 홍채인식 시스템에서 입력된 영상으로부터 정합(matching)에 사용될 홍채 영역을 추출해 내는 과정은 필수적인 과정으로 빠른 처리 속도와 정확성을 요구한다. 기존의 원형검출기나 허프(Hough) 변환을 이용한 방법 등은 홍채의 바깥쪽과 안쪽 경계를 비교적 정확하게 검출해내는 장점이 있으나 탐색영역이 커서 수행시 간이 매우 많이 걸리는 단점이 있다. 따라서 본 논문에서는 이진화와 형태학적 연산(morphology)을 이용하는 새로운 탐색 영역 단축 방법을 제안한다. 제안한 방법은 기존의 홍채영역 검출 방법에 적용할 경우 수행 시간을 효율적으로 단축시킬 수 있다. 검출된 영역에 대해서 주성분 분석법(principal component analysis, PCA)을 이용해 매칭을 수행한 결과 약 95%의 인식율을 나타내었다.

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Transcoding DV into MPEG-2 in the DCT domain (DCT 영역에서 DV 방식을 MPEG-2로 변환부호화)

  • 김도년;윤범식;최윤식
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1998.06a
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    • pp.121-126
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    • 1998
  • DV(Digital Video) 영상 압축 방식에서 MPEG-2로 변환할 때 처리단계를 줄이기 위하여 DCT 영역에서 변환하였다. DV 방식의 색차신호 포맷인 4:1:1에서 4:2:2로 변환하고, 2-4-8 DCT 모드를 변환할 때 행렬을 이용하여 변환함으로써 중간과정을 줄였으며, DCT 영역에서 MPEG-2의 율 제어를 구현하였다. DV에서 만든 DCT 계수를 이용하여, 단계적으로 움직임 추정을 함으로써 전역탐색 블록 매칭 방식보다 처리 속도를 개선하였다.

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Automatic Change Detection Based on Areal Feature Matching in Different Network Data-sets (이종의 도로망 데이터 셋에서 면 객체 매칭 기반 변화탐지)

  • Kim, Jiyoung;Huh, Yong;Yu, Kiyun;Kim, Jung Ok
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.6_1
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    • pp.483-491
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    • 2013
  • By a development of car navigation systems and mobile or positioning technology, it increases interest in location based services, especially pedestrian navigation systems. Updating of digital maps is important because digital maps are mass data and required to short updating cycle. In this paper, we proposed change detection for different network data-sets based on areal feature matching. Prior to change detection, we defined type of updating between different network data-sets. Next, we transformed road lines into areal features(block) that are surrounded by them and calculated a shape similarity between blocks in different data-sets. Blocks that a shape similarity is more than 0.6 are selected candidate block pairs. Secondly, we detected changed-block pairs by bipartite graph clustering or properties of a concave polygon according to types of updating, and calculated Fr$\acute{e}$chet distance between segments within the block or forming it. At this time, road segments of KAIS map that Fr$\acute{e}$chet distance is more than 50 are extracted as updating road features. As a result of accuracy evaluation, a value of detection rate appears high at 0.965. We could thus identify that a proposed method is able to apply to change detection between different network data-sets.

Data Matching Research to Use Resident Registration Administrative Data in the Population Censuses (인구총조사에 주민등록 행정자료 활용을 위한 자료매칭연구)

  • Lee, Nae-Seong
    • Survey Research
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    • v.9 no.2
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    • pp.119-149
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    • 2008
  • In this changing, complex modern society, as one-person households, dual income households and the elderly population increases and the survey environment gets worse, the past 'method' in which high costs and much time are needed, should face the environmental change. When considering the fact that developed countries in Northern Europe such as Denmark and Finland use administrative data for the Censuses, Korea should carry out further research to use resident registration administrative data in the Registration Census. Based on administrative data, the Registration Census is expected to reduce survey costs and to increase the accuracy and timeliness of surveys. Moreover, a wide variety of statistical demand will be satisfied by producing advanced statistics through the links among administrative data. The paper examines the difference when linking both resident registration administrative data and the results of 2005 Population Census, with a view to improving the Population Census method and preparing for the information age. Also this paper presents some proposals for future Population Censuses. With confidentiality given the top priority, this paper examines the link with matching value of ages and genders at Haeundae-gu, Busan and Boeun-gun, Chungbuk for pragmatic research. Hoenam-myeon, Boeun-gun, Chungbuk marks a low matching rate. Focused on Hoenam-myeon data, this research directly compares the results of 2005 Population Census with resident registration administrative data. Births, deaths, out-migrations and in-migrations from resident registration administrative data as of November 1st 2005 are used especially to increase comparison with the results of 2005 Population Census.

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Design and Fabrication of the Antenna for Wibro and WLAN Communications Using CPWG Structure (CPWG 구조를 이용한 Wibro 및 WLAN 통신용 안테나 설계 및 제작)

  • Lee, Seung-Woo;Kim, Nam;Rhee, Seung-Yeop
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.19 no.10
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    • pp.1086-1095
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    • 2008
  • In this paper, we designed and fabricated the trapezoidal antenna using the CPWG structure for Wibro and WLAN communications. This antenna has broadband characteristics using the basic trapezoidal antenna, and an H-shaped parasitic patch is making an expansion of resonance bandwidth and bringing stability of impedance matching. Especially, CPWG structure is combined two kinds of the structure which of a monopole antenna and a coplanar waveguide antenna. They make up for the weak point of the CPW which is variation of impedance matching according to varying the gap or size of the feed line and the ground. The designed antenna has occurred resonances of which the band of 2.2 GHz to 4.6 GHz(70.5 %) below the return loss of -10 dB($VSWR{\leq}2$) obtained in measurement, and it has an omnidirectional radiation pattern of H-plane. In addition, the changes of impedance matching appear slightly caused by the effects of the ground plane and the feed line.

Ship Detection Based on KOMPSAT-5 SLC Image and AIS Data (KOMPSAT-5 SLC 영상과 AIS 데이터에 기반한 선박탐지)

  • Kim, Donghan;Lee, Yoon-Kyung;Kim, Sang-Wan
    • Korean Journal of Remote Sensing
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    • v.36 no.2_2
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    • pp.365-377
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    • 2020
  • Continuous monitoring and immediate response is essential to protect the national maritime territory and maritime resources from the activities of illegal ships. Synthetic Aperture Radar (SAR) images with a wide range of images are effective for maritime surveillance asthe weather and day-night conditions rarely affect to image acquisition. However, an effective ship detection is not easy due to the huge data size of SAR images and various characteristics such as the speckle noise. In this study, the Human Visual Attention System (HVAS) algorithm was applied to KOMPSAT-5 to extract the initial targets, and the SAR-Split algorithm depending on the imaging modes was used to remove false alarms. The detected targets were finally selected by the Constant False Alarm Rate (CFAR) algorithm and matched with the ship's Automatic Identification System (AIS) information. Overall, the detected targets were well matched with AIS data, but some false alarms by ship wakes were observed. The detection rate was about 80% in ES mode and about 64% in ST mode. It is expected that the developed ship detection algorithm will contribute to the construction of a wide area maritime surveillance network.

Fast Human Detection Method in Range Data using Adaptive UV-histogram and Template Matching (적응적 UV-histogram과 템플릿 매칭을 이용한 거리 영상에서의 고속 인간 검출 방법)

  • Yoon, Bumsik;Kim, Whoi-Yul
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.9
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    • pp.119-128
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    • 2014
  • In this paper, a fast human detection method using adaptive UV-histogram and template matching is proposed. The proposed method improves the detection rate in the scene of complex environment. The method firstly generates U-histogram to extract human candidates and adaptively generates V-histogram for each labled U-histogram, thus it could extract humans correctly, which was impossible in the previous method. The method tries to match the human candidates with the adaptively sized omega shape template to the focal length and distance in order to improve the detection accuracy. It also detects false positives by rematching the template with accumulated foreground images and hence is robust to the occlusion. Experimental results showed that the proposed method has superior performance to the Bae's method in the complex environment with about 15% improvement in precision and 80% in recall and has 20 times faster processing time than Xia's method.

Face Authentication using Multi-radius LBP Matching of Individual Major Blocks in Mobile Environment (개인별 주요 블록의 다중 반경 LBP 매칭을 이용한 모바일 환경에서의 얼굴인증)

  • Lee, Jeong-Sub;Ahn, Hee-Seok;Keum, Ji-Soo;Kim, Tai-Hyung;Lee, Seung-Hyung;Lee, Hyon-Soo
    • Journal of Broadcast Engineering
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    • v.18 no.4
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    • pp.515-524
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    • 2013
  • In this paper, we propose a novel face authentication method based on LBP matching of individual major blocks in mobile environment. In order to construct individual major blocks from photos, we find the blocks that have the highest similarity and use different numbers of blocks depending on the probability distribution by applying threshold. And, we use multi-radius LBP histograms in the determination of individual major blocks to improve performance of generic LBP histogram based approach. By using the multi-radius LBP histograms in face authentication, we can successfully reduce the false acceptance rate compare to the previous methods. Also, we can see that the proposed method shows low error rate about 7.72% compare to the pervious method in spite of use small number of blocks about 44.59% only.

Web Service Matching Algorithm using Cluster and Ontology Information (클러스터와 온톨로지 정보를 이용한 웹 서비스 매칭 알고리즘)

  • Lee, Yong-Ju
    • Journal of Internet Computing and Services
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    • v.11 no.1
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    • pp.59-69
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    • 2010
  • With the growing number of web services, there arise issues of finding suitable services. But, the traditional keyword search method is insufficient for two reasons: (1) this does not capture the underlying semantics of web services. (2) this does not suffice for accurately specifying users' information needs. In order to overcome limitations of this keyword search method, we propose a novel syntactic analysis and ontology learning method. The syntactic analysis method gives us a breadth of coverage for common terms, while the ontology learning method gives a depth of coverage by providing relationships. By combining these two methods, we hope to improve both the recall and the precision. We describe an experimental study on a collection of 508 web services that shows the high recall and precision of our method.