• Title/Summary/Keyword: 충돌 추적

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A Study on Policy Improvement for Ensuring the Effectiveness of Suicide Prevention Law (「자살예방 및 생명존중 문화 조성을 위한 법률」의 실효성 확보를 위한 정책적 개선 방안 - 「개인정보보호법」과의 충돌문제 해결을 중심으로 -)

  • Kwon, Do-Hyun;Park, Jong-Ik;Ah, Yong-Min
    • The Korean Society of Law and Medicine
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    • v.20 no.2
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    • pp.261-285
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    • 2019
  • The essential policy of suicide prevention is to continuously manage and treat suicide attempted people through data base related to suicide retry rate and follow-up study report. In Korea, only few people are allowed to follow-up by the Personal Information Protection Act. As a result, the research participation rate and the service participation rate are rather low, so that the research participants is limited to a part of the suicide attempted people. Therefore, the policy proposals to be improved in the Ministry of Health and Welfare Act were examined comparatively in order to increase the practical utilization of the suicide prevention about Article 14 and Article 20 of the Suicide Prevention Act. As a criterion for policy improvement, measures for non-discrimination of information to be considered in terms of technical and ethical dimensions and non-profit research and medical information for medical purposes were suggested. In addition to the severity of the suicide, the suicide risk was assessed and the criteria for the objective assessment of the follow-up observation were considered in consideration of the severity of the suicide.

Design of L-Band-Phased Array Radar System for Space Situational Awareness (우주감시를 위한 L-Band 위상배열레이다 시스템 설계)

  • Lee, Jonghyun;Choi, Eun Jung;Moon, Hyun-Wook;Park, Joontae;Cho, Sungki;Park, Jang Hyun;Jo, Jung Hyun
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.3
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    • pp.214-224
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    • 2018
  • Continuous space development increases the occurrence probability of space hazards such as collapse of a satellite and collision between a satellite and space debris. In Korea, a space surveillance network with optical system has been developed; however, the radar technology for an independent space surveillance needs to be secured. Herein, an L-band phased array radar system for the detection and tracking of space objects is proposed to provide a number of services including collision avoidance and the prediction of re-entry events. With the mission analysis of space surveillance and the case analysis of foreign advanced radar systems, the radar parameters are defined and designed. The proposed radar system is able to detect a debris having a diameter of 10 cm at a maximum distance of 1,576 km. In addition, we confirmed the possibility of using the space surveillance mission for domestic satellites through the analysis of the detection area.

Object Detection Algorithm Using Edge Information on the Sea Environment (해양 환경에서 에지 정보를 이용한 물표 추출 알고리즘)

  • Jeong, Jong-Myeon;Park, Gyei-Kark
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.9
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    • pp.69-76
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    • 2011
  • According to the related reports, about 60 percents of ship collisions have resulted from operating mistake caused by human factor. Specially, the report said that negligence of observation caused 66.8 percents of the accidents due to a human factor. Hence automatic detection and tracking of an object from an IR images are crucial for safety navigation because it can relieve officer's burden and remedies imperfections of human visual system. In this paper, we present a method to detect an object such as ship, rock and buoy from a sea IR image. Most edge directions of the sea image are horizontal and most vertical edges come out from the object areas. The presented method uses them as a characteristic for the object detection. Vertical edges are extracted from the input image and isolated edges are eliminated. Then morphological closing operation is performed on the vertical edges. This caused vertical edges that actually compose an object be connected and become an object candidate region. Next, reference object regions are extracted using horizontal edges, which appear on the boundaries between surface of the sea and the objects. Finally, object regions are acquired by sequentially integrating reference region and object candidate regions.

A Study on the Deep Neural Network based Recognition Model for Space Debris Vision Tracking System (심층신경망 기반 우주파편 영상 추적시스템 인식모델에 대한 연구)

  • Lim, Seongmin;Kim, Jin-Hyung;Choi, Won-Sub;Kim, Hae-Dong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.45 no.9
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    • pp.794-806
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    • 2017
  • It is essential to protect the national space assets and space environment safely as a space development country from the continuously increasing space debris. And Active Debris Removal(ADR) is the most active way to solve this problem. In this paper, we studied the Artificial Neural Network(ANN) for a stable recognition model of vision-based space debris tracking system. We obtained the simulated image of the space environment by the KARICAT which is the ground-based space debris clearing satellite testbed developed by the Korea Aerospace Research Institute, and created the vector which encodes structure and color-based features of each object after image segmentation by depth discontinuity. The Feature Vector consists of 3D surface area, principle vector of point cloud, 2D shape and color information. We designed artificial neural network model based on the separated Feature Vector. In order to improve the performance of the artificial neural network, the model is divided according to the categories of the input feature vectors, and the ensemble technique is applied to each model. As a result, we confirmed the performance improvement of recognition model by ensemble technique.

A Recurring Eddy off the Korean Northest Coast Captured on Satellite Ocean Color and Sea Surface Temperature Imagery (위성의 해색 영상과 해수면온도 영상을 활용한 재발생 와동류에 관한 연구)

  • ;B.G.Mitchell
    • Korean Journal of Remote Sensing
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    • v.15 no.2
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    • pp.175-181
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    • 1999
  • A recurring eddy which located at the terminal end of the Korean East Warm Current was captured on ocean color and sea surface temperature imagery from satellite in spring and autumn. During late April, 1997 thermal infrared imagery from the NOAA AVHRR sensor and ocean color data from the Japanese ADEOS-I OCTS sensor, revealed this feature. The cold core had elevated chlorophyll concentrations, based on OCTS estimates, of greater than 3 mg/m$^3$ while the warmer surrounding waters had chlorophyll concentrations of 1 mg/m$^3$ or less. The elevated cholophyll accociated with this eddy has not been previously described. The eddy is also evident in SST images from autumn, but the SST in the core is warmer than in spring, and the warm jet flowing to the west of the eddy is also warmer is autumn compared to spring. A reccurring eddy and the high chlorophyll_a concentration area which surround around the eddy show on NOAA and SeaWiFS images in March 2, 1998. The eddy forms at the northern extent of the Korean East Warm Current as those waters collide with the cold, south-flowing Liman Current over a topographic shelf about 1500 m deep. This region of the eddy formation appears to have a strong connection with the dynamics of the western part of the polar front eddy field that dominates surface mesoscale structure in the central East (Japan) Sea. Interaction of the eddy with ARGOW tracked drifters, and evidence for its persistence are discussed.

Airborne Pulsed Doppler Radar Development (비행체 탑재 펄스 도플러 레이다 시험모델 개발)

  • Kwag, Young-Kil;Choi, Min-Su;Bae, Jae-Hoon;Jeon, In-Pyung;Yang, Ju-Yoel
    • Journal of Advanced Navigation Technology
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    • v.10 no.2
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    • pp.173-180
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    • 2006
  • An airborne radar is an essential aviation electronic system of the aircraft to perform various missions in all weather environments. This paper presents the design, development, and test results of the multi-mode pulsed Doppler radar system test model for helicopter-borne flight test. This radar system consists of 4 LRU units, which include ANTU(Antenna Unit), TRU(Tx Rx Unit), RSDU(Radar Signal & Data Processing Unit) and DISU(Display Unit). The developed technologies include the TACCAR processor, planar array antenna, TWTA transmitter, coherent I/Q detector, digital pulse compression, DSP based Doppler FFT filtering, adaptive CFAR, IMU, and tracking capability. The design performance of the developed radar system is verified through various helicopter-borne field tests including MTD (Moving Target Detector) capability for the Doppler compensation due to the moving platform motion.

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Numerical Analysis on Plasma Particles inside Electro-magnetic Field Using Particle-in-cell Method (Particle-in-cell 기법을 이용한 전자기장내 플라즈마 입자의 거동 해석)

  • Han, Doo-Hee;Joe, Min-Kyung;Shin, Junsu;Sung, Hong-Gye;Kim, Su-Kyum
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.45 no.11
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    • pp.932-938
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    • 2017
  • Particle-in-cell method which blends Eulerian grids and Lagrangian particle is utilized to solve simplified hall-effect thruster. Since this study individually tracks not only neutrons and ions but also electrons, message passing interface(mpi) scheme is adopted for parallel computer cluster. Helical movement of an electron cloud in constant magnetic field is validated comparing with an exact solution. A plasma in radial magnetic field and axial electric field in a reaction cylinder is established. Electrons do double helix movement and are well anchored in a cylinder. Ionization of neutrons by impact with high-speed electrons generates ion particles. They are accelerated by axial electric field, which forms a plume of a plasma-effect thruster.

Methodology for Evaluating Collision Risks Using Vehicle Trajectory Data (개별차량 주행패턴 분석을 통한 교통사고 위험도 분석 기법)

  • Kim, Joon-Hyung;Song, Tai-Jin;Oh, Cheol;Sung, Nak-Moon
    • Journal of Korean Society of Transportation
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    • v.26 no.5
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    • pp.51-62
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    • 2008
  • An innovative feature of this study is to propose a methodology for evaluating safety performance in real time based on vehicle trajectory data extracted from video images. The essence of evaluating safety performance is to capture unsafe car-following and lane-changing events generated by individual vehicles traveling within video surveillance area. The proposed methodology derived three indices including real-time safety index(RSI) based on the concept of safe stopping distance, time-to-collision(TTC), and the collision energy based on the conservation of momentum. It is believed that outcomes would be greatly utilized in developing a new generation of video images processing(VIP) based traffic detection systems capable of producing safety performance measurements. Relevant technical challenges for such detection systems are also discussed.

An Identification and Specification Method of Crosscutting Concerns based on Goal-Scenario Modeling for Aspect-Oriented Software Development (Aspect-Oriented 소프트웨어 개발을 위한 목표-시나리오 모델링 기반의 횡단관심사 식별 및 명세화 방법)

  • Kim, Sun-Hwa;Kim, Min-Seong;Park, Soo-Yong
    • Journal of KIISE:Software and Applications
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    • v.35 no.7
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    • pp.424-430
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    • 2008
  • Identifying crosscutting concerns during requirements engineering phase is one of the most essential parts in Aspect-Oriented Software Development. Considering crosscutting concerns in the earlier phase of the development improves consistency among requirements so that it can help maintain software systems efficiently and effectively. It also provides a systematic way to manage requirements changes by supporting traceability throughout the software lifecycle. Thus, identifying tangled and scattered concerns, and encapsulating them into separate entities must be addressed from the early phase of the development. To do so, first, functional and non-functional concerns must be clearly separated. Second, a pointcut where a main concern meets crosscutting concerns should be defined and specified precisely. Third, it is required to detect conflicts being occurred during composition of crosscutting concerns from the earlier phase. Therefore, this paper proposes a systematic approach to identifying and specifying crosscutting concerns using goal-scenario based requirements analysis. And we demonstrate the applicability of the approach by applying it into the intelligent service robot system.

Track-Before-Detect Algorithm for Multiple Target Detection (다수 표적 탐지를 위한 Track-Before-Detect 알고리듬 연구)

  • Won, Dae-Yeon;Shim, Sang-Wook;Kim, Keum-Seong;Tahk, Min-Jea;Seong, Kie-Jeong;Kim, Eung-Tai
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.9
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    • pp.848-857
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    • 2011
  • Vision-based collision avoidance system for air traffic management requires a excellent multiple target detection algorithm under low signal-to-noise ratio (SNR) levels. The track-before-detect (TBD) approaches have significant applications such as detection of small and dim targets from an image sequence. In this paper, two detection algorithms with the TBD approaches are proposed to satisfy the multiple target detection requirements. The first algorithm, based on a dynamic programming approach, is designed to classify multiple targets by using a k-means clustering algorithm. In the second approach, a hidden Markov model (HMM) is slightly modified for detecting multiple targets sequentially. Both of the proposed approaches are used in numerical simulations with variations in target appearance properties to provide satisfactory performance as multiple target detection methods.