• 제목/요약/키워드: Intelligent Data Analysis

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A gene filtering method based on fuzzy pattern matching for whole genome microarray data analysis (마이크로어레이 데이터의 게놈수준 분석을 위한 퍼지 패턴 매칭에 의한 유전자 필터링 방법)

  • Lee, Seon-A;Lee, Geon-Myeong;Lee, Seung-Ju;Kim, Won-Jae;Kim, Yong-Jun;Bae, Seok-Cheol
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.145-148
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    • 2007
  • 생명과학분야에서 마이크로어레이 기술은 세포에서의 RNA 발현 프로파일을 관찰할 수 있도록 함으로써 생명현상의 규명 및 약물개발 둥에서 분자수준의 생명현상에 대한 관찰과 분석이 가능 해지고 있다. 마이크로어레이 데이터분석에서는 특정한 처리나 과정에서 현저한 특성을 보이는 유전자를 식별하기 위한 분석뿐만 아니라 유전자 전체인 게놈수준에서의 분석도 이루어진다. 최근 유전자의 발현이 다양한 조절, 신호전달 및 대사경로에 의해서 영향을 받고 있다는 관점에서 게놈수준의 분석에 관심이 증가하고 있다. 약물반응 실험에서는 약물에 대한 게놈수준의 발현 프로파일을 관찰하는 것도 많은 정보를 제공할 수 있다. 약물실험에서는 대조군과 실험군들간에 관심 있는 상대적인 발현특성을 갖는 유전자군을 전체적으로 추출하는 것이 필요한 경우가 있다. 예를 들면 정상군은 두개의 실험군에 대해서 중간청도의 발현정도를 갖는 유전자군을 식별하는 분석을 하는 경우, 생물학적인 데이터의 특성상 절대값을 비교하는 방법으로는 유용한 유전자들을 효과적으로 식별해 낼 수 없다. 이 논문에서는 정상군과 실험군들의 발현정도값의 경향을 판단하기 위해서 각 유전자에 대해서 집단별 대표값을 선정하여 퍼지집합으로 집단의 값의 범위를 결정하고, 이를 이용하여 특정 패턴을 갖는 유전자들을 식별해내는 방법을 제안하고, 실제 데이터를 통해서 실험한 결과를 보인다.

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The Development of Vehicle Counting System at Intersection Using Mean Shift (Mean Shift를 이용한 교차로 교통량 측정 시스템 개발)

  • Chun, In-Gook
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.7 no.3
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    • pp.38-47
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    • 2008
  • A vehicle counting system at intersection is designed and implemented using analyzing a video stream from a camera. To separate foreground image from background, we compare three different methods, among which Li's method is chosen. Blobs are extracted from the foreground image using connected component analysis and the blobs are tracked by a blob tracker, frame by frame. The primary tracker use only the size and location of blob in foreground image. If there is a collision between blobs, the mean-shift tracking algorithm based on color distribution of blob is used. The proposed system is tested using real video data at intersection. If some huristics is applied, the system shows a good detection rate and a low error rate.

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An Application of Sampling to Determine a Proper Rate of Probe Vehicles for Macroscopic Traffic Flow Monitoring Indices (거시교통류 모니터링 지표산출을 위한 적정 프로브차량 비율 결정에 관한 연구)

  • Shim, Jung-Suk;Heo, Hyun-Moo;Eom, Ki-Jong;Lee, Chung-Won;Ahn, Su-Han
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.9 no.2
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    • pp.33-40
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    • 2010
  • In this paper, we consider three macroscopic traffic flow monitoring indices, Travel Time Index(TTI), Acceleration Noise(AN) and Two Fluid(TF) and investigate how to determine a proper rate of probe cars for producing reliable values of these indices. For the analysis, we use classical sampling theories and provide numbers of probe rates using simulation data.

Analysis of the Transport Characteristics of Bulk Cargo in Freight Stations Located Behind Trade Ports (무역항 배후 화물철도역의 벌크화물 운송특성 분석)

  • Choi, Chang-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.6
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    • pp.47-61
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    • 2016
  • The present study analyzed the railway transport characteristics of bulk cargo flowing in and out of trade ports in South Korea. Bulk cargo transport in freight stations located behind trade ports was examined using actual flow data, and new implications were drawn accordingly. The results showed that bulk cargo volume in freight stations located behind trade ports is gradually decreasing, and it is also failing to secure a competitive edge against road transport. This downfall can be mainly attributed to the decrease in competitiveness of railway transport as well as the emergence of new trade ports that do not have lead-in track for port. Therefore, greater effort is required to strengthen the connection between new trade ports and railway freight stations.

A RTSD Mechanism for Detection of DoS Attack on TCP Network (TCP 네트워크에서 서비스거부공격의 탐지를 위한 RTSD 메커니즘)

  • 이세열;김용수
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.05a
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    • pp.252-255
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    • 2002
  • As more critical services are provided in the internet, the risk to these services from malicious users increases. Several networks have experienced problems like Denial of Service(DoS) attacks recently. We analyse a network-based denial of service attack, which is called SYM flooding, to TCP-based networks. It occurs by an attacker who sends TCP connection requests with spoofed source address to a target system. Each request causes the targeted system to send instantly data packets out of a limited pool of resources. Then the target system's resources are exhausted and incoming TCP port connections can not be established. The paper is concerned with a detailed analysis of TCP SYN flooding denial of service attack. In this paper, we propose a Real Time Scan Detector(RTSD) mechanism and evaluate it\`s Performance.

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Traffic Accident Analysis using Blackbox Technique (블랙박스 기법을 이용한 교통사고 분석)

  • Hong Yu Sik;Kim Cheon Sik;Yun Byeong Ju;Jo Yeong Im
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.11a
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    • pp.452-455
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    • 2005
  • In order to reproduce the traffic accident, It must save the data automatically which traffic accident 30 seconds before using black box. The Black Box can detect traffic crash accidents automatically, and record the vehicle's motion and driver's maneuvers during a pre-defined time Belied before and after the accident. But it is not easy for the police to catch running away criminal. Because, criminal can remove proof if it is 2 hours or 3 hours at least. Therefore, in this paper, in order to catch a hit and run driver in the traffic accident road, it developed an structured Query Language Server and made parts database algorithm.

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Novel Backprojection Method for Monocular Head Pose Estimation

  • Ju, Kun;Shin, Bok-Suk;Klette, Reinhard
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.1
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    • pp.50-58
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    • 2013
  • Estimating a driver's head pose is an important task in driver-assistance systems because it can provide information about where a driver is looking, thereby giving useful cues about the status of the driver (i.e., paying proper attention, fatigued, etc.). This study proposes a system for estimating the head pose using monocular images, which includes a novel use of backprojection. The system can use a single image to estimate a driver's head pose at a particular time stamp, or an image sequence to support the analysis of a driver's status. Using our proposed system, we compared two previous pose estimation approaches. We introduced an approach for providing ground-truth reference data using a mannequin model. Our experimental results demonstrate that the proposed system provides relatively accurate estimations of the yaw, tilt, and roll angle. The results also show that one of the pose estimation approaches (perspective-n-point, PnP) provided a consistently better estimate compared to the other (pose from orthography and scaling with iterations, POSIT) using our proposed system.

Performance Analysis of Dedicated Short Range Communication System on the Rician Fading Channel (라이시안 페이딩 환경에서 단거리전용통신(DSRC) 시스템의 성능 분석)

  • Kim, Man-Ho;Kang, Heau-Jo
    • Journal of Advanced Navigation Technology
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    • v.10 no.1
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    • pp.7-12
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    • 2006
  • In this paper, we investigated performance for 5.8GHz dedicated short range communication system using OFDM which will be applied to Intelligent transportation system services. The maximum speed of a vehicle in DSRC channel is very fast as 180km/h, so a service time is very short to serve a various traffic information if hand-off is not occurred. Therefore higher bit rate is required to proved advanced and intelligent service to the drivers of various vehicle and the data transmission rate of the next generation DSRC system if being promoted over 10Mbps. The signals received in Racian channel have been simulated using the computer simulator. For performance improvement, BCH coding scheme are adopted.

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Head Pose Estimation by using Morphological Property of Disparity Map

  • Jun, Se-Woong;Park, Sung-Kee;Lee, Moon-Key
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.735-739
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    • 2005
  • This paper presents a new system to estimate the head pose of human in interactive indoor environment that has dynamic illumination change and large working space. The main idea of this system is to suggest a new morphological feature for estimating head angle from stereo disparity map. When a disparity map is obtained from stereo camera, the matching confidence value can be derived by measurements of correlation of the stereo images. Applying a threshold to the confidence value, we also obtain the specific morphology of the disparity map. Therefore, we can obtain the morphological shape of disparity map. Through the analysis of this morphological property, the head pose can be estimated. It is simple and fast algorithm in comparison with other algorithm which apply facial template, 2D, 3D models and optical flow method. Our system can automatically segment and estimate head pose in a wide range of head motion without manual initialization like other optical flow system. As the result of experiments, we obtained the reliable head orientation data under the real-time performance.

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Development of an Expert System for Precision Reducer Design of Robot (로봇용 정밀 감속기 설계 전문가 시스템 개발)

  • Park, Dae-Hyun;Nam, Won-Ki;Jang, In-Hun;Oh, Se-Hoon;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.1
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    • pp.19-25
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    • 2007
  • Among the precision reduction gent drivers lot robot system, the cycloid reducer is well known for it's high performances. Designing this reducer, there are many factors which must be considered. First, a geometrical analysis of tooth shape must be drawn from the basic concept. Second, loads, stresses and modification factors on tooth should be calculated exactly. Finally, a computer software to optimize the design of cycloid tooth needs developing on the basis of the geometric and force equations. In this research, the expert system to design the cycloid reducer was developed using Visual C++ so, the most important factors can be obtained automatically as the user put the simple input data.