• Title/Summary/Keyword: 정상 상황

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A Study on Measuring Sequential Dependencies in Denial of Service Attacks (DoS 공격의 순차의존성 측정에 관한 연구)

  • 홍동호;유황빈
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04a
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    • pp.395-397
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    • 2003
  • 서비스거부공격(DoS)은 공격의 목표가 되는 호스트에 악의적인 패킷을 단지 하나만 보냄으로써 공격이 이루어 질 수 없다. 그렇기 때문에 침입탐지시스템에서는 패킷에 대한 일련의 순차성을 알아냄으로써 연속적인 패킷을 보내는 DoS 공격으로서의 침입을 탐지해 내는 것이 가능하다. 본 연구에서는 네트워크 패킷에 대한 송신지의 주소와 서비스, 목적지의 주소와 서비스를 이용하여 이벤트를 정의 하였으며. 이렇게 정의된 이벤트를 이용하여 정상적인 상황에서의 이벤트에 대한 순차의존성과 DoS 공격 상황에서의 이벤트에 대한 순차의존성을 알아내었다. 이벤트에 대한 순차의존성을 측정하기 위해서 정상 이벤트가 발생하는 확률을 이용하였으며. 더 나아가서는 정보이론 분야에서의 조건부 엔트로피의 사용도 제안하였다.

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Real-time System Identification of Aircraft in Upset Condition Using Adaptive-order Zonotopic Kalman Filter (적응 차수 조노토픽 칼만 필터를 활용한 비정상 비행상태 항공기의 실시간 시스템 식별)

  • Gim, Seongmin;Harno, Hendra G.;Saderla, Subrahmanyam;Kim, Yoonsoo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.2
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    • pp.93-101
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    • 2022
  • It is essential to prevent LoC(Loss-of-Control) or upset situations caused by stall, icing or sensor malfunction in aircraft, because it may lead to the crash of the aircraft. With this regard, it is crucial to correctly identify the dynamic characteristics of aircraft in such upset conditions. In this paper, we present a SID(System IDentification) method utilizing the moving-window based least-square and the adaptive-order ZKF(Zonotopic Kalman Filter), which is more effective than the existing Kalman-filter based SID for the aircraft in upset condition at a high angle of attack with temporary sensor malfunction. The proposed method is then tested on real flight data and compared with the existing one.

Context-based Video Streaming Service for Smart Mobile Systems (스마트 단말을 위한 상황 인지형 비디오 스트리밍 서비스)

  • Lee, Gil-Beom;Kang, Myeung-Gu;Jeong, Sang-Jin;Lee, Myeong-Jin
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.06a
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    • pp.372-374
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    • 2013
  • 스마트 단말에 장착된 센서들로부터 단말의 상황 정보를 수집하고 분석하여, 상황에 적절한 동영상을 단말에게 스트리밍해 주는 서비스 구조를 제안한다. 스마트 단말은 NFC 또는 QR 코드 기반으로 전시물이나 특정 사물에 기등록된 동영상 정보를 획득하고, 저밀도 기반 WiFi 무선 실내 측위 기술을 사용하여 단말이 위치한 실내 공간 정보를 서버에 제공한다. 상황인지형 스트리밍 서버는 단말이 요청한 정보를 토대로 단말의 해상도에 적절한 동영상을 스트리밍 한다. 설계된 상황인지형 비디오 스트리밍 서비스 구조는 전시와 컨벤션, 대형 기관 및 테마파크의 안내 및 홍보 등의 용도로 활용될 수 있다.

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Design of Disaster Situational Propagation Information Message Conversion Module for Application of Integrated Emergency Alert System (통합재난경보시스템 적용을 위한 재난상황전파 정보 변환 모듈 설계)

  • Jeong, Sanggu;Yim, Jihyeon;Lee, Yong-Tae;Pyo, Kyungsoo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.11a
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    • pp.113-115
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    • 2017
  • 본 논문에서는 재난상황 발생 시 유관기관 내에 전달되는 재난상황전파 정보를 통합재난경보시스템에 활용하기 위한 방안으로 표준재난경보메시지로 변환하기 위한 모듈을 개발하여 제안한다. 변환을 위해 재난상황전파 정보를 공통경보프로토콜의 세그먼트와 세부 엘리먼트에 대응할 수 있는 방안을 제시하고, 이 방안을 기반으로 메시지 형식을 변환하여 공통경보프로토콜 형식으로 표출한다. 제안하는 모듈의 적용을 통해 변환된 재난상황전파 정보를 표준화시킴으로써 통합재난경보시스템에 활용할 수 있을 뿐만 아니라 타 국가 및 기관의 재난 경보 정보를 추가적으로 활용 가능한 장점을 지닌다.

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Design and implementation of context-aware inference system based on Internet of Things (IoT 기반 상황 인식 추론 시스템 설계 및 구현)

  • Lee, Jung-June;Kim, Kyung-Tae;Song, Jun-Seok;Youn, Hee-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.01a
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    • pp.129-132
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    • 2016
  • IT분야의 하드웨어 발달에 따라 저전력, 저가 및 센싱 및 통신이 가능한 IoT 디바이스들 출시 되고, 이를 이용한 새로운 솔루션 제품들이 출시되면서 IoT 시장 규모가 급격히 확대 되고 있다. 본 논문에서는 이러한 IoT 기기들의 연동을 통한 시너지 효과를 극대화 할 수 있는 상황 인식 추론 시스템의 설계 및 구현에 대해 서술한다. 해당 시스템은 상황 인식을 위한 상황 정보를 기존의 상황 인식 시스템과는 달리 클라이언트 기기에서 규격화 하여 서버로 전송한다. 이러한 이기종 데이터의 규격화는 RDF 문서의 정보 표기 방법인 Triple을 이용해 이루어진다. 이후, 서버로 전송된 상황 정보는 추론 엔진을 통해 현재 상황에 대한 추론 결과를 도출하고, 사용자에 의해 입력된 룰을 기반으로 상황에 적합한 서비스를 제공한다. 해당 시스템의 정상 동작 확인 여부를 위해, 본 논문에서는 방범 시나리오를 설정하여 테스트를 진행하였다.

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Non-stationary Frequency Analysis with Climate Variability using Conditional Generalized Extreme Value Distribution (기후변동을 고려한 조건부 GEV 분포를 이용한 비정상성 빈도분석)

  • Kim, Byung-Sik;Lee, Jung-Ki;Kim, Hung-Soo;Lee, Jin-Won
    • Journal of Wetlands Research
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    • v.13 no.3
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    • pp.499-514
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    • 2011
  • An underlying assumption of traditional hydrologic frequency analysis is that climate, and hence the frequency of hydrologic events, is stationary, or unchanging over time. Under stationary conditions, the distribution of the variable of interest is invariant to temporal translation. Water resources infrastructure planning and design, such as dams, levees, canals, bridges, and culverts, relies on an understanding of past conditions and projection of future conditions. But, Water managers have always known our world is inherently non-stationary, and they routinely deal with this in management and planning. The aim of this paper is to give a brief introduction to non-stationary extreme value analysis methods. In this paper, a non-stationary hydrologic frequency analysis approach is introduced in order to determine probability rainfall consider changing climate. The non-stationary statistical approach is based on the conditional Generalized Extreme Value(GEV) distribution and Maximum Likelihood parameter estimation. This method are applied to the annual maximum 24 hours-rainfall. The results show that the non-stationary GEV approach is suitable for determining probability rainfall for changing climate, sucha sa trend, Moreover, Non-stationary frequency analyzed using SOI(Southern Oscillation Index) of ENSO(El Nino Southern Oscillation).

Abnormal Traffic Behavior Detection by User-Define Trajectory (사용자 지정 경로를 이용한 비정상 교통 행위 탐지)

  • Yoo, Haan-Ju;Choi, Jin-Young
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.5
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    • pp.25-30
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    • 2011
  • This paper present a method for abnormal traffic behavior, or trajectory, detection in static traffic surveillance camera with user-defined trajectories. The method computes the abnormality of moving object with a trajectory of the object and user-defined trajectories. Because of using user-define based information, the presented method have more accurate and faster performance than models need a learning about normal behaviors. The method also have adaptation process of assigned rule, so it can handle scene variation for more robust performance. The experimental results show that our method can detect abnormal traffic behaviors in various situation.

Speed Prediction of Urban Freeway Using LSTM and CNN-LSTM Neural Network (LSTM 및 CNN-LSTM 신경망을 활용한 도시부 간선도로 속도 예측)

  • Park, Boogi;Bae, Sang hoon;Jung, Bokyung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.1
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    • pp.86-99
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    • 2021
  • One of the methods to alleviate traffic congestion is to increase the efficiency of the roads by providing traffic condition information on road user and distributing the traffic. For this, reliability must be guaranteed, and quantitative real-time traffic speed prediction is essential. In this study, and based on analysis of traffic speed related to traffic conditions, historical data correlated with traffic flow were used as input. We developed an LSTM model that predicts speed in response to normal traffic conditions, along with a CNN-LSTM model that predicts speed in response to incidents. Through these models, we try to predict traffic speeds during the hour in five-minute intervals. As a result, predictions had an average error rate of 7.43km/h for normal traffic flows, and an error rate of 7.66km/h for traffic incident flows when there was an incident.

Flight Safety Operation for the 1st Flight Test of Naro(KSLV-I) (나로호(KSLV-I) 1차 비행시험 비행안전 운영)

  • Ko, Jeong-Hwan;Choi, Kyu-Sung;Sim, Hyung-Seok;Roh, Woong-Rae;Park, Jeong-Joo;Cho, Gwang-Rae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.38 no.3
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    • pp.280-287
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    • 2010
  • The first Korean satellite launch vehicle, KSLV-I(Korea Space Launch Vehicle-I), was launched for its first flight test on Aug. 25, 2009 from Naro Space Center located in south Jolla province. Because launch vehicles usually fly long range with large amount of propellants aboard, preparation of countermeasures against potential malfunctions during flight is essential in launch operation. In this paper, the flight safety operation, prepared to guarantee flight safety during launch operation of KSLV-I, is presented. Prior to flight test, flight safety analysis is performed to estimate associated risk levels quantitatively, and during flight, flight safety systems are operated to cope with any risky situations. Real-time flight monitoring including computation of instantaneous impact point using tracking data is executed normally and the flight test is completed without activation of flight termination system.

Spacecraft Bus Initial Activation and Checkout of a LEO Satellite (저궤도 위성의 본체 초기 점검)

  • Jeon, Moon-Jin;Kwon, Dong-Young;Kim, Day-Young
    • Aerospace Engineering and Technology
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    • v.11 no.2
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    • pp.33-38
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    • 2012
  • A LEO Satellite performs automatic initial operations by FSW after separation from a launch vehicle. After initial operation by FSW is finished, preparation for normal operation is performed by ground during bus initial activation and checkout phase. First of all, we check state of health of the satellite including solar array deployment status. After then, each unit of spacecraft bus is activated and checked. After activation and checkout of every units used for normal operation, we check maneuver performance for imaging mission and orbit maintenance performance. Because the Bus IAC is performed during limited ground contact time, every detailed procedure must be designed considering ground contact. Therefore, the Bus IAC procedure is separated into several parts based on ground contact duration. In addition, the procedures for every possible operation including expected situation as results of IAC procedures and unexpected contingency situation must be prepared. The contingency operation is also designed based on ground contact duration. The LEO satellite was successfully launched and the Bus IAC was successfully performed. In this paper, we explain design concepts and execution results of Bus IAC.