• 제목/요약/키워드: M-algorithm

검색결과 3,951건 처리시간 0.037초

소나 영상 촬영을 위한 자율항법 시스템 구현 (Implementation of AUSV System for Sonar Image Acquisition)

  • 류재훈;류광렬
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2016년도 추계학술대회
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    • pp.961-964
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    • 2016
  • 본 논문은 쏘나 영상 촬영을 위한 무인자율항법(AUSV Autonomous Unmanned Surface Vehicle) 시스템 개발에 관한 연구이다. 자율항법 시스템은 선체에 모션센서, DGPS에 의한 현재 경위도 좌표와 목표지 경위도 좌표의 차를 가지고 선체의 추진체(Thrusters)를 FF-PID 알고리즘으로 제어한다. 실험결과, 목적지 좌표에 대한 제어좌표 오차는 전체 항법거리 1km 에서 6 meter 이하이며, 자율항법 모드에서의 Sonar Image 촬영 결과물은 유인선 촬영 결과물과의 차이는 12 pixel 이하로 전체 영상 차이는 거의 식별할 수 없이 동일하다. 개발된 시스템은 유인선으로 촬영 불가능한 해저 지형에 대한 Sonar Image 촬영을 위한 새로운 방법으로 활용 가능하다.

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An Improved Fast Camera Calibration Method for Mobile Terminals

  • Guan, Fang-li;Xu, Ai-jun;Jiang, Guang-yu
    • Journal of Information Processing Systems
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    • 제15권5호
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    • pp.1082-1095
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    • 2019
  • Camera calibration is an important part of machine vision and close-range photogrammetry. Since current calibration methods fail to obtain ideal internal and external camera parameters with limited computing resources on mobile terminals efficiently, this paper proposes an improved fast camera calibration method for mobile terminals. Based on traditional camera calibration method, the new method introduces two-order radial distortion and tangential distortion models to establish the camera model with nonlinear distortion items. Meanwhile, the nonlinear least square L-M algorithm is used to optimize parameters iteration, the new method can quickly obtain high-precise internal and external camera parameters. The experimental results show that the new method improves the efficiency and precision of camera calibration. Terminals simulation experiment on PC indicates that the time consuming of parameter iteration reduced from 0.220 seconds to 0.063 seconds (0.234 seconds on mobile terminals) and the average reprojection error reduced from 0.25 pixel to 0.15 pixel. Therefore, the new method is an ideal mobile terminals camera calibration method which can expand the application range of 3D reconstruction and close-range photogrammetry technology on mobile terminals.

Searching for Dwarf Galaxies in NGC 1291 obtained with KMTNet

  • Byun, Woowon;Kim, Minjin;Sheen, Yun-Kyeong;Park, Hong Soo;Ho, Luis C.;Lee, Joon Hyeop;Jeong, Hyunjin;Kim, Sang Chul;Park, Byeong-Gon;Seon, Kwang-Il;Ko, Jongwan
    • 천문학회보
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    • 제43권2호
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    • pp.53.2-53.2
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    • 2018
  • We present newly discovered dwarf galaxy candidates in deep and wide-field images of NGC 1291 obtained with KMTNet. Through a visual inspection, we find ~ 13 candidates, for which central surface brightness ranges from ${\mu}_{0,R}{\sim}22.5$ to $26.5mag\;arcsec^{-1}$. Adopting the distance to NGC 1291, the candidate dwarfs are brighter than $M_R=-12.5mag$ and their effective radii range from 350 pc to 1.4 kpc. Structural and photometric properties of dwarf candidates near NGC 1291 appears to be consistent with those of ordinary dwarf galaxies in nearby galaxies. We conduct the imaging simulation in order to find an optimal way to detect dwarf galaxies in KMTNet images and to test the completeness of our detection algorithm. We plan to apply this method to deep KMTNet images of other nearby galaxies obtained through KMTNet Nearby Galaxy Survey (KNGS).

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레이저를 이용한 기울기 측정 장치 및 이의 제어 방법 개발 (Development of Non-Adhesive, Non-Contact Inclinometer Slope Laser Measuring (ISLM) System and its Control Algorithm)

  • 김재현;이성민;이기학;최우석;백승훈
    • 한국공간구조학회논문집
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    • 제21권3호
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    • pp.25-34
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    • 2021
  • This study develops a new device system for measuring a slope of object with non-adhesive, non-contact and non-face-to-face, namely Inclinometer Slope Laser Measuring (ISLM), that is applicable in the field. This system includes cradle, laser, camera, and computer and the filming and is performed after laser projection at programmed intervals. After measuring the amount of displacement converted to numerical values, these values can then be transferred to the office using the selected data transmission method. The obtained results from the test carried out to verify the reliability of the ISLM system indicated that the ISLM system can measure with accurately level of 0.1mm/Pixel at 1m distance and when increasing the camera resolution, the precision might increase proportionally. Therefore, the proposed measure system may widely apply on-site for various constructions, especially, in the case of object with very high surface temperature where exhibits difficulty to directly measure the adjacent structures. However, due to the sensitive reaction to the illuminance, this method can be applied with caution at times of large changes in illuminance, such as at dawn and at dusk.

Q Learning MDP Approach to Mitigate Jamming Attack Using Stochastic Game Theory Modelling With WQLA in Cognitive Radio Networks

  • Vimal, S.;Robinson, Y. Harold;Kaliappan, M.;Pasupathi, Subbulakshmi;Suresh, A.
    • Journal of Platform Technology
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    • 제9권1호
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    • pp.3-14
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    • 2021
  • Cognitive Radio network (CR) is a promising paradigm that helps the unlicensed user (Secondary User) to analyse the spectrum and coordinate the spectrum access to support the creation of common control channel (CCC). The cooperation of secondary users and broadcasting between them is done through transmitting messages in CCC. In case, if the control channels may get jammed and it may directly degrade the network's performance and under such scenario jammers will devastate the control channels. Hopping sequences may be one of the predominant approaches and it may be used to fight against this problem to confront jammer. The jamming attack can be alleviated using one of the game modelling approach and in this proposed scheme stochastic games has been analysed with more single users to provide the flexible control channels against intrusive attacks by mentioning the states of each player, strategies ,actions and players reward. The proposed work uses a modern player action and better strategic view on game theoretic modelling is stochastic game theory has been taken in to consideration and applied to prevent the jamming attack in CR network. The selection of decision is based on Q learning approach to mitigate the jamming nodes using the optimal MDP decision process

Digital mapping of soil carbon stock in Jeolla province using cubist model

  • Park, Seong-Jin;Lee, Chul-Woo;Kim, Seong-Heon;Oh, Taek-Keun
    • 농업과학연구
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    • 제47권4호
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    • pp.1097-1107
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    • 2020
  • Assessment of soil carbon stock is essential for climate change mitigation and soil fertility. The digital soil mapping (DSM) is well known as a general technique to estimate the soil carbon stocks and upgrade previous soil maps. The aim of this study is to calculate the soil carbon stock in the top soil layer (0 to 30 cm) in Jeolla Province of South Korea using the DSM technique. To predict spatial carbon stock, we used Cubist, which a data-mining algorithm model base on tree regression. Soil samples (130 in total) were collected from three depths (0 to 10 cm, 10 to 20 cm, 20 to 30 cm) considering spatial distribution in Jeolla Province. These data were randomly divided into two sets for model calibration (70%) and validation (30%). The results showed that clay content, topographic wetness index (TWI), and digital elevation model (DEM) were the most important environmental covariate predictors of soil carbon stock. The predicted average soil carbon density was 3.88 kg·m-2. The R2 value representing the model's performance was 0.6, which was relatively high compared to a previous study. The total soil carbon stocks at a depth of 0 to 30 cm in Jeolla Province were estimated to be about 81 megatons.

Performance Comparison of Machine Learning Algorithms for Received Signal Strength-Based Indoor LOS/NLOS Classification of LTE Signals

  • Lee, Halim;Seo, Jiwon
    • Journal of Positioning, Navigation, and Timing
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    • 제11권4호
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    • pp.361-368
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    • 2022
  • An indoor navigation system that utilizes long-term evolution (LTE) signals has the benefit of no additional infrastructure installation expenses and low base station database management costs. Among the LTE signal measurements, received signal strength (RSS) is particularly appealing because it can be easily obtained with mobile devices. Propagation channel models can be used to estimate the position of mobile devices with RSS. However, conventional channel models have a shortcoming in that they do not discriminate between line-of-sight (LOS) and non-line-of-sight (NLOS) conditions of the received signal. Accordingly, a previous study has suggested separated LOS and NLOS channel models. However, a method for determining LOS and NLOS conditions was not devised. In this study, a machine learning-based LOS/NLOS classification method using RSS measurements is developed. We suggest several machine-learning features and evaluate various machine-learning algorithms. As an indoor experimental result, up to 87.5% classification accuracy was achieved with an ensemble algorithm. Furthermore, the range estimation accuracy with an average error of 13.54 m was demonstrated, which is a 25.3% improvement over the conventional channel model.

Single Frequency GPS Relative Navigation for Autonomous Rendezvous and Docking Mission of Low-Earth Orbit Cube-Satellites

  • Shim, Hanjoon;Kim, O-Jong;Yu, Sunkyoung;Kee, Changdon;Cho, Dong-Hyun;Kim, Hae-Dong
    • Journal of Positioning, Navigation, and Timing
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    • 제9권4호
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    • pp.357-366
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    • 2020
  • This paper addressed a relative navigation method for autonomous rendezvous and docking of cube-satellites using single frequency Differential GPS (DGPS) under the intermittent communication between satellites. Since the ionospheric error of GPS measurement is variable depending on the visible satellites, a few meters error of relative navigation is occurred in the Low-Earth Orbit (LEO) environment. Therefore, it is essential to remove the ionospheric error to perform relative navigation. Besides, an intermittent communication period for receiving GPS measurements of the target satellite is limited for getting information every sampling time. To solve this problem, a method combining range domain DGPS and orbit propagation is proposed in this paper. The proposed method improves the performance of DGPS by using Hatch filter and solves an intermittent communication problem by estimating the relative position and velocity using Hill-Clohessy-Wiltshire Equation. Through the simulation, it is verified that the suggested algorithm provides the relative position error within RMS 0.5 m and the relative velocity error within RMS 3 cm/s. Furthermore, it has the advantage that it is suitable for real-time implementation using single-frequency GPS measurements and is computationally efficient.

회귀알고리즘을 이용한 APP 기반의 실시간 모니터링 시스템 연구 (Real time monitoring using Regression algorithm system)

  • 한석희;정재훈;차정운;김영곤
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2013년도 춘계학술발표대회
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    • pp.934-936
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    • 2013
  • 본 시스템은 회귀 알고리즘을 이용한 실시간 모니터링 무선관리 시스템으로 현재 대부분의 업무는 모니터링 시스템과 같은 관제 시스템 및 다수의 PC 통합 환경에 맞춰 대규모, 동적 관리가 필요한 시스템의 요구가 증가하고 있다. 또한 다양한 관제 시스템이 만들어지고 있지만 모니터링 시스템의 경우 관리자가 항상 대기 및 관찰하여 상황에 따른 에러에 대하여즉각적인 대처는 할 수 있지만 예측이나 예방을 하기는 힘든 실정이다. 또한 이러한 예측이 가능할 경우 즉각적인 처리를 위해서 에러가 예상되는 PC의 성능 및 작업을 실시간으로 어떻게 통보하여 처리해야 할지에 대한 방법도 필요한 실정이다. 본 연구에서는 회귀알고리즘을 적용하여 사용자 PC의 성능을 분석 한 뒤 일어날 수 있는 상황이나 에러 등을 PC나 모바일 APP을 통해 실시간으로 처리하기 위하여 이상 이벤트 관리 및 시스템자원 분석 모듈 구현, 다수의 PC를 관리하는 소프트웨어 설계와 구현을 통해 이러한 문제를 해결하여 다수의 PC를 관리하며 실시간적으로 여러 가지 이벤트를 예상하고 시스템의 효율과 최적화를 이루고자 하였다. 또한 모바일 APP을 활용하여 사용자 PC의 실시간 처리 및 관리가 가능하기 때문에 관리자가 좀 더 원활한 업무수행 및 대처에 도움을 줄 수 있다.

절대좌표 추출 알고리즘을 이용한 향상된 PTZ 카메라 제어 시스템 설계 (Design of Enhanced PTZ Camera Control System using Absolute Coordinate Extraction Algorithm)

  • 김영담;박석천;신성기;방승주
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2013년도 춘계학술발표대회
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    • pp.363-366
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    • 2013
  • 오늘날 도난방지, 화재, 범죄예방 등의 안전한 생활을 위한 감시 시스템의 중요성이 강조되고 있다. 이에 영상보안 시장 규모가 급속히 증가하고 있으며 관련 기술도 인공지능을 겸비한 형태로 발전하고 있다. 우리나라도 영상보안 시스템의 수요가 2002년부터 기업과 정부를 중심으로 증가하고 있으며 급속한 성장을 거듭하는 추세는 2012년 이후에도 지속될 전망이다. 특히, 최근에는 적은 대수의 카메라로 보다 넓은 지역을 관찰하고 특정 부분을 확대 관찰할 수 있는 PTZ 카메라의 활용이 증가하고 있다. PTZ 카메라는 카메라에 구동 장치를 추가하여 좌우(Pan), 상하(Tilt)로 카메라의 시점을 이동시킬 수 있으며 특정 부분을 확대하여 관찰할 수 있는 줌(Zoom) 기능을 가진 카메라를 말한다. 이와 같은 장점으로 지능형 PTZ 카메라는 점차 대중화 되고 있다. 하지만, 현재 시중에 판매되는 많은 종류의 PTZ 카메라를 이용한 영상보안 감시는 실제로 사용자들이 동작하고 사용하는데 있어서 많은 문제점을 가지고 있다. 이에 본 논문에서는 카메라 별로 제공하는 상이하고 왜곡된 좌표 값에서 새롭게 가공한 직관적 절대좌표 값을 추출하여 정확한 목표지점으로의 위치이동과 간편한 카메라 조작을 위한 시스템을 설계하였다.