• 제목/요약/키워드: Beam Tracking Method

검색결과 64건 처리시간 0.024초

NFR 서스펜션의 동특성을 고려한 형상설계에 관한 연구 (Shape Design of the NFR Suspension Load Beam Considering Dynamic Characteristics)

  • Eun Gilsoo;Kim Nohyu
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문초록집
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    • pp.376.2-376
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    • 2002
  • In this study, the shape of suspension load beam for NFR(Near Field Recording) was proposed, which was designed using Topology optimization based on Homogenization method. Lens and Micro-mirror are attached to the end of the suspension load beam for collection and control the light, which increasing the system mass. Increment of the system mass cause to decrease the tracking stiffness mode frequency. (omitted)

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MWIR 및 SWIR 센서를 이용한 커널상관필터기반의 표적추적 (Target Tracking based on Kernelized Correlation Filter Using MWIR and SWIR Sensors)

  • 선선구;이유리;서대교
    • 한국군사과학기술학회지
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    • 제26권1호
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    • pp.22-30
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    • 2023
  • When tracking small UAVs and drone targets in cloud clutter environments, MWIR sensors are often unable to track targets continuously. To overcome this problem, the SWIR sensor is mounted on the same gimbal. Target tracking uses sensor information fusion or selectively applies information from each sensor. In this case, parallax correction using the target distance is often used. However, it is difficult to apply the existing method to small UAVs and drone targets because the laser rangefinder's beam divergence angle is small, making it difficult to measure the distance. We propose a tracking method which needs not parallax correction of sensors. In the method, images from MWIR and SWIR sensors are captured simultaneously and a tracking error for gimbal driving is chosen by effectiveness measure. In order to prove the method, tracking performance was demonstrated for UAVs and drone targets in the real sky background using MWIR and SWIR image sensors.

60kgf/$\textrm{mm}^2$급 자동차 범퍼빔용 레이저 용접 튜브 제조기술 및 장치연구 (Production of Laser Welded Tube for Automobile Bumper Beam from 60kgf/$\textrm{mm}^2$Grade Steel Sheet)

  • 서정;이제훈;김종수;김정오;강희신;이문용;정병훈
    • 한국정밀공학회지
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    • 제21권7호
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    • pp.136-144
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    • 2004
  • Optimal process and system to produce the laser welded tube for one body formed bumper beam are studied. The calculated size of tube is a thickness of 1.4mm, diameter of 105.4mm and length of 2000mm. The tube is shaped from a cold rolled high strength steel sheet(tensile strength: 60kgf/$\textrm{mm}^2$ grade). Two roll bending method is the optimal tube shaping process compared to UO-bending, bending on press brake, multi-step continuous roll forming and 3 roll bending methods. Weld quality monitoring and seam tracking along the butt-joint lengthwise to the tube axis are also studied. The longitudinal butt-joint is welded by the $CO_2$ laser welding system equipped with a seam tracker and plasma sensor. The constructed $CO_2$laser tube welding system can be used for the precision seam tracking and the real-time monitoring of weld quality. Finally, the obtained laser welded tube can be used for one-body formed automobile bumper beam.

확장칼만필터에 의하여 학습된 다층뉴럴네트워크를 이용한 헬리오스타트 태양추적오차의 모델링 (Modeling of Heliostat Sun Tracking Error Using Multilayered Neural Network Trained by the Extended Kalman Filter)

  • 이상은;박영칠
    • 제어로봇시스템학회논문지
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    • 제16권7호
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    • pp.711-719
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    • 2010
  • Heliostat, as a concentrator reflecting the incident solar energy to the receiver located at the tower, is the most important system in the tower-type solar thermal power plant, since it determines the efficiency and performance of solar thermal plower plant. Thus, a good sun tracking ability as well as its good optical property are required. In this paper, we propose a method to compensate the heliostat sun tracking error. We first model the sun tracking error, which could be measured using BCS (Beam Characterization System), by multilayered neural network. Then the extended Kalman filter was employed to train the neural network. Finally the model is used to compensate the sun tracking errors. Simulated result shows that the method proposed in this paper improve the heliostat sun tracking performance dramatically. It also shows that the training of neural network by the extended Kalman filter provides faster convergence property, more accurate estimation and higher measurement noise rejection ability compared with the other training methods like gradient descent method.

Accuracy improvement in motion tracking of tennis balls using nano-sensors technology

  • Shuning Yan;Chaozong Xiang;Li Guo
    • Advances in nano research
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    • 제14권5호
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    • pp.409-419
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    • 2023
  • Tracking the motion of tennis balls is a challenging task in using cameras around the tennis court. The most important instance of the tennis trajectory is the time of impact and touch the court which in some cases could not be detected precisely. In the present study, we aim to present a novel design of tennis balls equipped with nano-sensors to detect the touch of the ball to the court. In the impact instance, tennis ball receives significant acceleration and change in the linear momentum. This large acceleration could deform a small-beam structure with piezoelectric layer to produce voltage. The voltage could further be utilized to produce infrared waves which could be easily detected by infrared detection sensors installed on the same video cameras or separately near the tennis court. Therefore, the exact time of the impact could be achieved with higher accuracy than image analyzing method. A detailed dynamical property of such sensors is discussed using nonlinear beam equations. The results show that within the acceleration range of tennis ball during an impact, the piezoelectric patches of the nano-sensors in the tennis ball could produce enough voltages to propagate infrared waves to be detected by infrared detectors.

무선 RF모뎀과 GPS를 통합한 타워크레인의 철골부재의 실시간 양중위치 추적시스템 개발 (Development of a Real-time Lifting-path Tracking System of a Tower-crane for Steel Members based on an Integrated Wireless RF Modem and GPS System)

  • 윤석헌;이강
    • 한국건축시공학회지
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    • 제10권3호
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    • pp.65-70
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    • 2010
  • 철골공사는 고소에서 작업을 하며 많은 위험요소가 따르며, 안전성과 생산성을 향상시키기 위해 로보틱 크레인개발을 위한 프로젝트가 진행되었다. 그 첫 번째 단계로서 실시간 양중위치를 추적하는 시스템을 개발하였는데, 본 연구에서는 이를 위하여 x, y, z 좌표를 쉽게 얻을 수 있는 GPS 센서를 사용하였다. 또한, 본 연구에서는 데이터의 정확도를 향상시키기 위해 2대의 GPS센서를 사용하였으며, RF모뎀을 이용한 무선인식 태그와 함께 통합된 양중경로 추적 시스템을 개발하였다. 개발된 무선인식 태그와 RF모뎀 기반의 GPS 센서는 함께 최대 1 km까지 안정적으로 신호를 전송할 수 있으며, GPS의 상대측위기법을 사용하여 그 오차를 평균 0.61 m까지 줄일 수 있다.

Estimation of structure system input force using the inverse fuzzy estimator

  • Lee, Ming-Hui
    • Structural Engineering and Mechanics
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    • 제37권4호
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    • pp.351-365
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    • 2011
  • This study proposes an inverse estimation method for the input forces of a fixed beam structural system. The estimator includes the fuzzy Kalman Filter (FKF) technology and the fuzzy weighted recursive least square method (FWRLSM). In the estimation method, the effective estimator are accelerated and weighted by the fuzzy accelerating and weighting factors proposed based on the fuzzy logic inference system. By directly synthesizing the robust filter technology with the estimator, this study presents an efficient robust forgetting zone, which is capable of providing a reasonable trade-off between the tracking capability and the flexibility against noises. The period input of the fixed beam structure system can be effectively estimated by using this method to promote the reliability of the dynamic performance analysis. The simulation results are compared by alternating between the constant and adaptive and fuzzy weighting factors. The results demonstrate that the application of the presented method to the fixed beam structure system is successful.

실시간 순환 신경망 기반의 멀티빔 소나 이미지를 이용한 수중 물체의 추적에 관한 연구 (Study on Underwater Object Tracking Based on Real-Time Recurrent Regression Networks Using Multi-beam Sonar Images)

  • 이언호;이영준;최진우;이세진
    • 로봇학회논문지
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    • 제15권1호
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    • pp.8-15
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    • 2020
  • This research is a case study of underwater object tracking based on real-time recurrent regression networks (Re3). Re3 has the concept of generic object tracking. Because of these characteristics, it is very effective to apply this model to unclear underwater sonar images. The model also an pursues object tracking method, thus it solves the problem of calculating load that may be limited when object detection models are used, unlike the tracking models. The model is also highly intuitive, so it has excellent continuity of tracking even if the object being tracked temporarily becomes partially occluded or faded. There are 4 types of the dataset using multi-beam sonar images: including (a) dummy object floated at the testbed; (b) dummy object settled at the bottom of the sea; (c) tire object settled at the bottom of the testbed; (d) multi-objects settled at the bottom of the testbed. For this study, the experiments were conducted to obtain underwater sonar images from the sea and underwater testbed, and the validity of using noisy underwater sonar images was tested to be able to track objects robustly.

HMM에 의한 원형 마이크로폰 어레이 적용 드론 위치 추적 (Drone Location Tracking with Circular Microphone Array by HMM)

  • 정형찬;임원호;곽준봉;이시티아크 아메드;장경희
    • 한국항행학회논문지
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    • 제24권5호
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    • pp.393-407
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    • 2020
  • 불법 무인기에 의한 위협을 줄이기 위해, 음향 기반 기법에 의한 추적시스템을 구현하였다. 드론 음향 추적 방식에는 3가지 주요 사항이 있다. 첫째, 가변 빔 형성을 통해 공간을 스캔하여 음원을 찾아 마이크 어레이를 사용하여 소리를 녹음한다. 둘째, 음원의 존재 유·무 여부를 알기 위해 은닉 마르코프 모델(HMM)로 분류한다. 마지막으로 음원이 드론인 경우, 적응형 빔 패턴을 기반의 추적기준 신호로 기록 및 저장된 음원을 사용한다. 시뮬레이션은 배경 노이즈 및 간섭 사운드가 없는 이상적인 상태와 배경 노이즈 및 간섭 사운드가 있는 비이상적인 조건 모두에서 수행되며 불법적인 드론의 추적 성능을 평가하였다. 드론 추적 시스템은 마이크 어레이 성능에 따른 탐색 거리 성능향상 및 음향 패턴 일치 정도에 따른 드론 유무 판정 기준을 설계하여 음성판독 회로설계에 반영하였다.

DVD와 호환 가능한 홀로그래픽 롬 시스템

  • 문진배;김근율;정규일;박주연;남은하
    • 정보저장시스템학회:학술대회논문집
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    • 정보저장시스템학회 2005년도 추계학술대회 논문집
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    • pp.145-149
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    • 2005
  • We describe holographic ROM system to read bit-type data. It has optical system similar to general optical data storage system such as DVD. But because holographic data storage systems have to adopt imaging optical system, in our system bit-type data can be read out by different servos with DVD. We devised 3-hole method similar to 3- beam method for the tracking servo and used astigmatic optical system for the focusing servo. Also we developed the reference beam servo to measure movement of reference beam because especially holographic data storage systems need reference beam. The system was operated by these three servos and objective lens of NA 0.6. We obtained eye pattern from random data of 3T-2um track pitch. We also obtained another eye pattern from DVD disk by only using focusing servo PDIC in our system to verify the compatibility with DVD.

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