• Title/Summary/Keyword: 밀도 함수

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An Outlier Cluster Detection Technique for Real-time Network Intrusion Detection Systems (실시간 네트워크 침입탐지 시스템을 위한 아웃라이어 클러스터 검출 기법)

  • Chang, Jae-Young;Park, Jong-Myoung;Kim, Han-Joon
    • Journal of Internet Computing and Services
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    • v.8 no.6
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    • pp.43-53
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    • 2007
  • Intrusion detection system(IDS) has recently evolved while combining signature-based detection approach with anomaly detection approach. Although signature-based IDS tools have been commonly used by utilizing machine learning algorithms, they only detect network intrusions with already known patterns, Ideal IDS tools should always keep the signature database of your detection system up-to-date. The system needs to generate the signatures to detect new possible attacks while monitoring and analyzing incoming network data. In this paper, we propose a new outlier cluster detection algorithm with density (or influence) function, Our method assumes that an outlier is a kind of cluster with similar instances instead of a single object in the context of network intrusion, Through extensive experiments using KDD 1999 Cup Intrusion Detection dataset. we show that the proposed method outperform the conventional outlier detection method using Euclidean distance function, specially when attacks occurs frequently.

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Effect of Thermal Properties of Bentonite Buffer on Temperature Variation (벤토나이트 완충재의 열물성이 온도 변화에 미치는 영향)

  • Kim, Min-Jun;Lee, Seung-Rae;Yoon, Seok;Jeon, Jun-Seo;Kim, Min-Seop
    • Journal of the Korean Geotechnical Society
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    • v.34 no.1
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    • pp.17-24
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    • 2018
  • A buffer in a geological disposal system minimizes groundwater inflow from the surrounding rock and protects the disposed high-level waste (HLW) against any mechanical impact. As decay heat of a spent fuel causes temperature variation in the buffer that affects the mechanical performance of the system, an accurate estimation of the temperature variation is substantial. The temperature variation is affected by thermal and material properties of the system such as thermal conductivity, density and specific heat capacity of the buffer, and thus these factors should be properly included in the design of the system. In particular, as the thermal properties are variable depending on the density and water content of the buffer, consideration of the effects should be included in the analysis. Hence, in this study, a numerical model based on finite element method (FEM) which is able to consider the change of density and water content of the buffer was established. In addition, using the numerical model, a parametric study was conducted to investigate the effect of each thermal property on the temperature variation of the buffer.

View Variations and Recognition of 2-D Objects (화상에서의 각도 변화를 이용한 3차원 물체 인식)

  • Whangbo, Taeg-Keun
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.11
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    • pp.2840-2848
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    • 1997
  • Recognition of 3D objects using computer vision is complicated by the fact that geometric features vary with view orientation. An important factor in designing recognition algorithms in such situations is understanding the variation of certain critical features. The features selected in this paper are the angles between landmarks in a scene. In a class of polyhedral objects the angles at certain vertices may form a distinct and characteristic alignment of faces. For many other classes of objects it may be possible to identify distinctive spacial arrangements of some readily identifiable landmarks. In this paper given an isotropic view orientation and an orthographic projection the two dimensional joint density function of two angles in a scene is derived. Also the joint density of all defining angles of a polygon in an image is derived. The analytic expressions for the densities are useful in determining statistical decision rules to recognize surfaces and objects. Experiments to evaluate the usefulness of the proposed methods are reported. Results indicate that the method is useful and powerful.

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Ab-Initio Study of the Schottky Barrier in Two-Dimensional Lateral Heterostructures by Using Strain Engineering (인장변형에 따른 이차원 수평접합 쇼트키 장벽 제일원리 연구)

  • Hwang, Hwihyeon;Lee, Jaekwang
    • New Physics: Sae Mulli
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    • v.68 no.12
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    • pp.1288-1292
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    • 2018
  • Using density functional theory calculations, we study the Schottky barrier (SB) change in a two-dimensional (2D) lateral heterostructure consisting of semiconducting $2H-MoS_2$ and the ferromagnetic metal $2H-VS_2$ by applying a uniaxial tensile strain from 0% to 10%. We find that the SB for holes is much smaller than that for electrons and that SB height decreases monotonically under increasing tensile strain. In particular, we find that a critical strain where the spin-up SB for holes is abruptly reduced to zero exists near a strain of 8%, implying that only the spin-up holes are allowed to flow through the $MoS_2-VS_2$ lateral heterostructure. Our results provide fundamental information and can be utilized to guide the design of 2D lateral heterostructure-based novel rectifying devices by using strain engineering.

Development of Simulation Method of Doppler Power Spectrum and Raw Time Series Signal Using Average Moments of Radar Wind Profiler (윈드프로파일러의 평균모멘트 값을 이용한 도플러 파워 스펙트럼 및 시계열 원시신호 시뮬레이션기법 개발)

  • Lee, Sang-Yun;Lee, Gyu-Won
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1037-1044
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    • 2020
  • Since radar wind profiler (RWP) provides wind field data with high time and space resolution in all weather conditions, their verification of the accuracy and quality is essential. The simultaneous wind measurement from rawinsonde is commonly used to evaluate wind vectors from RWP. In this study, the simulation algorithm which produces the spectrum and raw time series (I/Q) data from the average values of moments is presented as a step-by-step verification method for the signal processing algorithm. The possibility of the simulation algorithm was also confirmed through comparison with the raw data of LAP-3000. The Doppler power spectrum was generated by assuming the density function of the skew-normal distribution and by using the moment values as the parameter. The simulated spectrum was generated through random numbers. In addition, the coherent averaged I/Q data was generated by random phase and inverse discrete Fourier transform, and raw I/Q data was generated through the Dirichlet distribution.

Robust Scheme of Segmenting Characters of License Plate on Irregular Illumination Condition (불규칙 조명 환경에 강인한 번호판 문자 분리 기법)

  • Kim, Byoung-Hyun;Han, Young-Joon;Hahn, Hern-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.11
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    • pp.61-71
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    • 2009
  • Vehicle license plate is the only way to check the registrated information of a vehicle. Many works have been devoted to the vision system of recognizing the license plate, which has been widely used to control an illegal parking. However, it is difficult to correctly segment characters on the license plate since an illumination is affected by a weather change and a neighboring obstacles. This paper proposes a robust method of segmenting the character of the license plate on irregular illumination condition. The proposed method enhance the contrast of license plate images using the Chi-Square probability density function. For segmenting characters on the license plate, binary images with the high quality are gained by applying the adaptive threshold. Preprocessing and labeling algorithm are used to eliminate noises existing during the whole segmentation process. Finally, profiling method is applied to segment characters on license plate from binary images.

A Study on Exploring Urban Renewal Areas Using Spatial Density Analysis (공간 밀도분석을 이용한 재정비 대상지 탐색에 관한 연구)

  • Kijung Kim;Seungwook Go;Jinuk Sung
    • Land and Housing Review
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    • v.14 no.2
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    • pp.35-50
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    • 2023
  • The purpose of this study is to identify areas in need of urban renewal by utilizing spatial data and analyzing their types and characteristics. For this, this research employed a kernel density function and K-means cluster analysis with spatial data, through which it sought ways to identify high-demand areas for urban renewal projects. The key findings and implications of the research are summarized as follows. Firstly, this research classified 587 target sites in Seoul based on development density (ratios) and an indicator for aged buildings. Approximately half of these areas were consistent with leading pilot project sites and Accelerated Integration Sites. Secondly, it was observed that residential environments in the designated leading pilot project sites, as decided by public sectors, were relatively poor compared to other areas. Lastly, the target areas for urban renewal were not clearly categorized through statistical analysis. Instead, it was found that categorization should be made depending on the requirements of each project.

Development of User Interface for Optimal Design of RF Device (RF소자의 최적설계를 위한 인터페이스 개발)

  • Park, Hyun-Soo;Byun, Jin-Kyu;Lee, Hyang-Beom
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1581_1582
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    • 2009
  • 본 논문에서는 T형 분기 도파관 내 Septum의 최적설계를 위하여 상용 전자파해석 소프트웨어의 API(Application Program Interface) 기능을 활용하는 VBA(Visual Basic Application) 기반 설계 인터페이스를 개발 하였다. 최적설계의 설계 변수는 도파관 내에서 Septum의 위치와 크기로 하였고, 목적 함수는 도파관의 반사계수($S_{11}$)를 가장 작게 하면서 T형 분기 도파관에서 출력되는 에너지를 2:1로 분배하도록 설정하였다. 목적함수는 본 논문에서 정한 함수이며 설계 목표에 따라 인터페이스 내에서 변경이 가능하다. 설계 인터페이스는 마이크로소프트사의 엑셀을 이용하였고 인터페이스 내에서는 사용자가 원하는 T형 분기 도파관의 크기 설계가 가능하며, 입력 port의 입력 모드를 설정하고, 해석 주파수를 선택하여 사용자가 정한 목적 함수에 맞는 최적화된 Septum의 크기와 도파관 내에서의 위치를 찾을 수 있게 하였다. 또한 사용자가 원하는 위치에서의 E Field, H Field, 전류 밀도를 크기 또는 복소수 형태의 수치 데이터로 획득할 수 있도록 설계하였다.

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A conceptual model for forecasting innovation diffusion in informations and telecommunications market (정보통신시장의 수용예측을 위한 개념적 예측모형의 구성)

  • 강병용;황정연;임주환;한치문
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.04a
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    • pp.455-468
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    • 1995
  • 기술변화에 의한 상품의 대체과정과 수요 성장 추세를 설명하고자 개발된 기존의 통계학적 수요예측 모형들은 확률밀도함수 또는 특정한 수학적 함수의 외형적 특성을 이용한 함수적 접근방법을 사용한 결과 과거 데이터들의 단순 경향치의 추세 설명에 한정되고 상한치를 향한 무한 접근 성장으로 일관되는 함수적 제약을 안고 있으며, 수요의 영향 요인을 반영하지 못하므로써 데이터가 없는 신제품 서비스 예측에 적용이 불가능한 문제점을 갖고 있다. 본 논문에서는 이들 문제점들을 극복하고 시장에 처음 출하되는 새로운 재화 또는 서비스의 수요예측 및 포화수준 도달 이후의 체감 성장에도 적용가능한 방법론으로서 수용의 결정요인을 반영한 예측모형을 제시한다. 모형의 예측능력을 판단하기 위해 정보통신 분야의 몇가지 대표적 제품 및 서비스를 대상으로 기존 모형(peal 모형, weibull 모형, NUI 모형, compertz 모형)들과 NTPS 모형(Nonasymtotic Technological Product Subsituation Model)을 적용하여 예측 결과를 비교하였다. 또한 본 모형을 활용하여 새로운 제품 및 서비스 수요예측을 위한 모수의 특성에 대하여도 검토해 보았다.

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Nonparametric Flood Frequency Analysis at Hangang Bridge (한강대교 지점에서의 비매개변수적 홍수빈도해석)

  • Oh, Tae-Suk;Yoon, Sun-Kwon;Oh, Keun-Taek;Moon, Young-Il
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.1225-1229
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    • 2008
  • 본 연구에서는 한강의 중요한 관측지점인 한강대교(구 인도교)지점에서 관측된 연최대치 홍수량을 자료를 이용하여 홍수빈도해석을 수행하였다. 홍수빈도해석을 위하여 확률분포형을 가정해 적합도 검정을 통해 최적 분포형을 선정해 확률홍수량을 산정하는 매개변수적 빈도해석과 원자료에 핵함수를 적용하는 비매개 변수적 빈도해석을 통해 각각 산정한 확률홍수량을 비교하였다. 비매개변수적 빈도해석을 위해서는 변동핵 밀도함수를 적용한 Modified Cauchy 핵밀도함수와 Sheater & Jones Plug-In 광역폭 결정 방법을 이용하였다. 따라서 본 연구에서 분석한 확률홍수량과 한강대교 지점의 계획홍수량의 비교를 통해 현재의 계획홍 수량의 적정성을 평가하였다.

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