• Title/Summary/Keyword: Position step size

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Step size determination method using neural network for personal navigation system (개인휴대 추측항법 시스템을 위한 신경망을 이용한 보폭 결정 방법)

  • 윤선일;홍진석;지규인
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.80-80
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    • 2000
  • The GPS can provide accurate position information on the earth. But GPS receiver can't give position information inside buildings. DR(Dead-Reckoning) or INS(Inertial Navigation System) gives position information continuously indoors as well as outdoors, because they do not depend on the external navigation information. But in general, the inertial sensors severely suffer from their drift errors, the error of these navigation system increases with time. GPS and DR sensors can be integrated together with Kalman filter to overcome these problems. In this paper, we developed a personal navigation system which can be carried by person, using GPS and electronic pedometer. The person's footstep is detected by an accelerometer installed in vertical direction and the direction of movement is sensed by gyroscope and magnetic compass. In this case the step size is varying with person and changing with circumstance, so determining step size is the problem. In order to calculate the step size of detected footstep, the neural network method is used. The teaming pattern of the neural network is determined by human walking pattern data provided by 3-axis accelerometer and gyroscope. We can calculate person's location with displacement and heading from this information. And this neural network method that calculates step size gives more improved position information better than fixed step size.

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Evaluation of Dosimetric Effect and Treatment Time by Plan Parameters for Endobronchial Brachytherapy

  • Choi, Chang Heon;Park, Jong Min;Park, So-Yeon;Kang, SungHee;Cho, Jin Dong;Kim, Jung-in
    • Progress in Medical Physics
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    • v.28 no.2
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    • pp.39-44
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    • 2017
  • This study aims to analyze dose distribution and treatment time of endobronchial brachytherapy (EBBT) by changing the position step size of the dwell position. A solid water phantom and an intraluminal catheter were used in the treatment plan. The treatment plans were generated for 3, 5, 7, and 10 cm treatment lengths, respectively. For each treatment length, the source position step sizes were set as 2.5, 5, and 10 mm. Three reference points were set 1 cm away from the central axis of the catheter, along the axis, for uniform dose distribution. Volumetric dose distribution was calculated to evaluate the dosimetric effect. The total radiation delivery time and total dwell time were estimated for treatment efficiency, which were increased with position step sizes. At half-life time, the differences between the position step sizes in the total radiation delivery time were 18.1, 15.4, 18.0, and 24.0 s for 3, 5, 7, and 10 cm treatment lengths, respectively. The dose distributions were more homogenous by increasing the position step sizes. The dose difference of the reference point was less than 10%. In brachytherapy, this difference can be negligible. For EBBT, the treatment time is the key factor while considering the patient status. To reduce the total treatment time, EBBT can be performed with 2.5 mm position step size.

A Hybrid Automatic Focusing Method with Gaussian Interpolation and Adaptive Step Size (가우시안보간과 적응스텝크기를 적용한 하이브리드 오토포커싱)

  • Moon, Soon Hwan;Kim, Gyung Bum
    • Journal of the Semiconductor & Display Technology
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    • v.13 no.1
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    • pp.51-55
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    • 2014
  • In this paper, an hybrid automatic focusing method has been proposed for speedy and reliable measurement and inspection in industry. It can improve reliability of focusing position by using not a focusing measure but the hybrid one that is incorporated with sobel operator and auto-correlation. Also, it can not only reduce control time of focusing position using adaptive step size, but also improve accuracy of focusing position by gaussian interpolation. Its performance is verified by experiments. It is expected that it can apply to optical system for measurement and inspection in industry fields.

Design of High Performance 5 Phase Step Motor Drive System with Current Control Loop (전류 제어기를 가지는 고성능 5상 스텝 모터 구동 드라이버 설계)

  • Chun, Kwang-Su;Kim, Hak-Jin;Kwon, Yong-Kwan;Kang, Suk-Hee
    • The Transactions of the Korean Institute of Power Electronics
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    • v.11 no.5
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    • pp.447-453
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    • 2006
  • This paper proposes that 5 phase step motor drive system has high performance utilizing a micro step control with a current controller. Also this paper proposes an analog current controller to minimize size of the 5 phase step motor drive system. It has better advantages of cost and noise and heating than commercial products. As a result, Applying this system to position control robot the validity of suggested analog current controller and driver system is verified.

Lens Position Error Compensated Fast Auto-focus Algorithm in Mobile Phone Camera Using VCM (VCM을 이용한 휴대폰 카메라에서의 렌즈 위치 오차 보상 고속 자동 초점 알고리즘)

  • Han Chan-Ho;Kim Tae-Kyu;Kwon Seong-Geun
    • Journal of Korea Multimedia Society
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    • v.9 no.5
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    • pp.585-594
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    • 2006
  • Due to the size limit, the voice coil motor (VCM) is adopted in most of the mobile phone camera to control auto-focus instead of step motor. The optical system using the VCM has the property that the focus values are varying even though the same current is induced. It means that an error of the lens position was taken placed due to the characteristics of the VCM. In this paper, a algorithm was proposed to compensate the lens position error using the step size and the search count of each stage. In the proposed algorithm -7 step middle searching stage is inserted the conventional searching algorithm for the fast auto-focus searching and the final searing step size was set to +1 for the precise focus control, respectively. In the experimental results, the focus values was found more fast in the proposed algorithm than the conventional. And more the image quality by the proposed algorithm was superior to that of the conventional.

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Measurement of Face Region Size in Motion Picture (동영상에서 블록화된 차영상 기반의 얼굴 영역 크기 측정 기법)

  • 장희준;고혜선;최영우;한헌수
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.313-316
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    • 2003
  • This paper proposes a new measurement method of face region size for real-time serveillance systems. The proposed method consists of three steps. In the first step, it detects global face area based on the block-based difference images. In the second step, it measures the face region size using face color information. In the third step, it estimates the face position in the next input image using the trajectory of face regions. The experimental results have shown that the proposed algorithm measures the face size within 20% relative error on average, which is a]towable for most surveillance systems.

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Model Study for Underground Cavity Detection Using S-wave (S파를 이용한 지하공동 탐사의 모형 연구)

  • 서백수
    • Tunnel and Underground Space
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    • v.3 no.2
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    • pp.109-117
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    • 1993
  • The existence and exact location of cavity is very important for the stability of the large underground storage house or building. Numerical method such as finite element method and finite diference methods are widely used because of model's complexity. Preliminary tests such as calculation step test, mesh size test and model size test were tried. Upper shadow zone and lower shadow zone can be calculated from 50% amplitude level of measuring data. From these statistical methods, the calculatied position of cavity coincided nearly with actual position of model testing cavity.

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Design of High Performance 5 Phase Step Motor Drive System with Current Control Loop (전류 제어기를 가지는 고성능 5상 스텝 모터 구동 드라이버 설계)

  • Chun Kwang-Su;Kim Hak-Jin;Kwon Yong-Kwan;Kang Suk-Hee
    • Proceedings of the KIPE Conference
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    • 2006.06a
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    • pp.311-315
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    • 2006
  • This paper proposes 5 phase step motor drive system has high performance dynamics with micro step control has current controller. In this paper, analog current controller has been developed to minimize system size and cost. The validity of the proposed technique is verified through experimental results of position control robot.

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A Hierarchical Classification Method for Verification of Seal Imprint (계층적 분류방식에 의한 인영 검증)

  • 김진희;심재창;현기호;하영호
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.11
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    • pp.904-912
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    • 1991
  • Automatic recognition of seal imprint has been required in the oriental countries. In this paper, a hierarchical approach for seal imprint verification is presented. Global features are used for seal imprint description in the first step. In the second step, conventional and several proposed local features are used to detect useful informations such as size, distribution and relative position of stroke length from seal imprint. In the last step, seal imprints are classified into one of three categories 'accept', 'ambiguous' and reject', based on the hierarchical classification. Experimental results show good performance on classification and recognition.

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Development of Crack Examination Algorithm Using the Linearly Integrated Hall Sensor Array (선형 홀 센서 배열을 사용한 결함 검사 알고리즘 개발)

  • Kim, Jae-Jun;Kim, Byoung-Soo;Lee, Jin-Yi;Lee, Soon-Geul
    • Journal of the Korean Society for Precision Engineering
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    • v.27 no.11
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    • pp.30-36
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    • 2010
  • Previous researches show that linearly integrated Hall sensor arrays (LIHaS) can detect cracks in the steel structure fast and effectively This paper proposes an algorithm that estimates the size and shape of cracks for the developed LIHaS. In most nondestructive testing (NDT), just crack existence and location are obtained by processing 1-dimensional data from the sensor that scans the object with relative speed in single direction. The proposed method is composed with two steps. The first step is constructing 2-dimensionally mapped data space by combining the converted position data from the time-based scan data with the position information of sensor arrays those are placed in the vertical direction to the scan direction. The second step is applying designed Laplacian filter and smoothing filter to estimate the size and shape of cracks. The experimental results of express train wheels show that the proposed algorithm is not only more reliable and accurate to detecting cracks but also effective to estimate the size and shape of cracks.