• Title/Summary/Keyword: rotation rate

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Growth of $NdAl_3(BO_3)_4$ Single Crystal for Miniature Solid State Laser (소형 고체 레이저용 $NdAl_3(BO_3)_4$ 단결정 육성)

  • 정선태;강진기;김정환;정수진
    • Journal of the Korean Ceramic Society
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    • v.30 no.8
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    • pp.643-650
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    • 1993
  • NdAl3(BO3)4 have been developed for miniature solid state laser material. Single crystals of NdAl3(BO3)4 were grown by TSSG technique using BaB4O7 flux. The effects of growth conditions such as cooling rate, seed orientation and rotation speed on crystal quality and the morphology were studied. At the cooling rate of 2.4$^{\circ}C$/day and the crystal rotation speed of 30~40rpm with the seed orientation in <201> or <100> directions, transparent and light violet colored crystals in size of 10$\times$15$\times$20㎣ with well developed {010}, {111}, {111}, {021}, {001}, {102}, {112}, {021} faces were obtained. By X-ray diffraction analysis, the space group was determined as C2/c, and the X-ray powder data was obtained.

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Functional Separation of Myoelectric Signal of Human Arm Movements using Autoregressive Model (자기회귀 모델을 이용한 팔 운동 근전신호의 기능분리)

  • 홍성우;손재현;서상민;이은철;이규영;남문현
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.4
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    • pp.76-84
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    • 1993
  • In this thesis, general method using autoregressive model in the functional separation of the myoelectric signal of human arm movements are suggested. Covariance method and sequential least squares algorithm were used to determine the model parameters and the order of signal model to describe six arm movement patterns` the forearm flexion and extension, the wrist pronation and supination, rotation-in and rotation out. The confidence interval to classify the functions of arm movement was defined by the mean and standard deviation of total squares error. With the error signals of autoregressive(AR) model, the result showed that the highest success, rate was abtained in the case of 4th order, and success rate was decreased with increase of order. This technique might be applied to biomedical-and rehabilitation-engi-neering.

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Measurement of Velocity Profile in Liquid Metal Flow Using Electromagnetic Tomography (전자기 토모그래피를 이용한 액체 금속 속도장 측정)

  • Choi, Sang-Ho;Ahn, Yeh-Chan;Kim, Moo-Hwan
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.1749-1754
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    • 2004
  • In order to measure non-intrusively velocity profile in liquid metal flow, a modified electromagnetic flowmeter was designed, which was based on electromagnetic tomography technique. Under the assumption that flow is fully-developed, axisymmetric and rectilinear, the velocity profile was reconstructed after the flowmeter equation, the first kind of Fredholm integration equation, was linearized. In reconstruction process Tikhonov regularization method with regularization parameter was used. The reconstructed velocity profile had the nearly same as turbulent flow profile which was approximately represented as log law. In addition, flowmeter output for a fixed magnet rotation angle was linearly proportional to flow rate. When magnet rotation angle was $54^{\circ}$, axisymmetric weight function was nearly uniform so that the flowmeter gives a constant signal for any fully-developed, axisymmetric and rectilinear profile with a constant flow rate.

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Numerical Analysis on the Flow Pattern in the Melt of Cold Model for the Czochralski system

  • Kim, Min-Cheol;Lee, Sang-Ho;Yi, Kyung-Woo
    • Proceedings of the Korea Association of Crystal Growth Conference
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    • 1998.09a
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    • pp.113-116
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    • 1998
  • A numerical study was performed on the fluid flow in the melt of the cold model for Czochralski growth system. The fluid flow in the melt of Woods metal with crucible diameter of 20cm was calculated using a three dimensional finite difference method. Since the crucible size is large, fully turbulent model as well as laminar model was used in the calculation. The effects of crucible rotation rate, crystal rotation rate and wall temperature difference on the velocity and temperature distribution were also investigated. For the purpose of verifying the results of calculation, a cold model experiment using Woods metal was also conducted and the velocity distribution in the melt of the model was measured.

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Study of Molecular Reorientation in Liquid with Raman Spectroscopy (Ⅱ) Anisotropic Rotation of$C_6F_6$ in Neat Liquid

  • Wan-In Lee;Kook-Joe Shin;Myung-Soo Kim
    • Bulletin of the Korean Chemical Society
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    • v.4 no.1
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    • pp.10-14
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    • 1983
  • Anisotropic rotation of C$_{6}$F$_{6}$ in neat liquid is investigated by the analysis of the ν$_{1}$ and ν$_{15}$ (both C-F stretching) bands of Raman spectrum and diffusion constants for the spinning (D$_{II}$) and tumbling (D$_{⊥}$) motions are obtained by the rotational dffusion theory. The same analysis is also carried out for the ν$_{2}$ and ν$_{16}$ (both C-C stretching) bands and both results are compared with the results obtained for benzene in neat liquid. The results show that the reorientation of C$_{6}$F$_{6}$ is highly anisotropic and the anisotropy is greater for C$_{6}$F$_{6}$ than benzene. This is due to the fact that the spinning rate is about the same but the tumbling rate is sharply reduced for C$_{6}$F$_{6}$.

Extended Kalman Filter Based GF-INS Angular Velocity Estimation Algorithm

  • Kim, Heyone;Lee, Junhak;Oh, Sang Heon;Hwang, Dong-Hwan;Lee, Sang Jeong
    • Journal of Positioning, Navigation, and Timing
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    • v.8 no.3
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    • pp.107-117
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    • 2019
  • When a vehicle moves with a high rotation rate, it is not easy to measure the angular velocity using an off-the-shelf gyroscope. If the angular velocity is estimated using the extended Kalman filter in the gyro-free inertial navigation system, the effect of the accelerometer error and initial angular velocity error can be reduced. In this paper, in order to improve the navigation performance of the gyro-free inertial navigation system, an angular velocity estimation method is proposed based on an extended Kalman filter with an accelerometer random bias error model. In order to show the validity of the proposed estimation method, angular velocities and navigation outputs of a vehicle with 3 rev/s rotation rate are estimated. The results are compared with estimates by other methods such as the integration and an extended Kalman filter without an accelerometer random bias error model. The proposed method gives better estimation results than other methods.

Analogical Face Generation based on Feature Points

  • Yoon, Andy Kyung-yong;Park, Ki-cheul;Oh, Duck-kyo;Cho, Hye-young;Jang, Jung-hyuk
    • Journal of Multimedia Information System
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    • v.6 no.1
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    • pp.15-22
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    • 2019
  • There are many ways to perform face recognition. The first step of face recognition is the face detection step. If the face is not found in the first step, the face recognition fails. Face detection research has many difficulties because it can be varied according to face size change, left and right rotation and up and down rotation, side face and front face, facial expression, and light condition. In this study, facial features are extracted and the extracted features are geometrically reconstructed in order to improve face recognition rate in extracted face region. Also, it is aimed to adjust face angle using reconstructed facial feature vector, and to improve recognition rate for each face angle. In the recognition attempt using the result after the geometric reconstruction, both the up and down and the left and right facial angles have improved recognition performance.

CNN-based Image Rotation Correction Algorithm to Improve Image Recognition Rate (이미지 인식률 개선을 위한 CNN 기반 이미지 회전 보정 알고리즘)

  • Lee, Donggu;Sun, Young-Ghyu;Kim, Soo-Hyun;Sim, Issac;Lee, Kye-San;Song, Myoung-Nam;Kim, Jin-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.1
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    • pp.225-229
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    • 2020
  • Recently, convolutional neural network (CNN) have been showed outstanding performance in the field of image recognition, image processing and computer vision, etc. In this paper, we propose a CNN-based image rotation correction algorithm as a solution to image rotation problem, which is one of the factors that reduce the recognition rate in image recognition system using CNN. In this paper, we trained our deep learning model with Leeds Sports Pose dataset to extract the information of the rotated angle, which is randomly set in specific range. The trained model is evaluated with mean absolute error (MAE) value over 100 test data images, and it is obtained 4.5951.

Optimization for the Humidification Performance of a Residential Rotor-Type Humidifying Element (가정용 로터식 가습 소자의 가습 성능 최적화)

  • Kim, Nae-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.3
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    • pp.7-13
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    • 2017
  • A comfortable indoor environment is important considering that many hours are spent in residential or office space. A humidifier is used to control the indoor humidity. In particular, an element type humidifier has the advantage of a simple structure and low energy consumption. Two types of humidifiers - stationary or rotor - are commonly used for residential purposes. In this study, performance optimization was conducted for a rotor-type humidifying element used in a residential humidifier. The optimization included the rotation speed, water submersion depth, etc. The test range consisted of an open area to the air from 57 to 90%, rotation speed from 0.2 to 2.0 rpm, frontal air velocity from 0.5 to 2.5 m/s. The results showed that the optimal open area to air was 70%. On the other hand, the effects of the rotation speed on the moisture transfer rate was negligible. On the other hand, the pressure drop increased with increasing rotation speed. As the frontal air velocity increased, both the moisture transfer rate and pressure drop increased. The humidification capacity of the present element was 0.08 ~ 0.31 kg/hr. A comparison of the data with the theoretical results was made.

An Object Tracking Method using Stereo Images (스테레오 영상을 이용한 물체 추적 방법)

  • Lee, Hak-Chan;Park, Chang-Han;Namkung, Yun;Namkyung, Jae-Chan
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.5
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    • pp.522-534
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    • 2002
  • In this paper, we propose a new object tracking system using stereo images to improve the performance of the automatic object tracking system. The existing object tracking system has optimum characteristics, but it requires a lot of computation. In the case of the image with a single eye, the system is difficult to estimate and track for the various transformation of the object. Because the stereo image by both eyes is difficult to estimate the translation and the rotation, this paper deals with the tracking method, which has the ability to track the image for translation for real time, with block matching algorithm in order to decrease the calculation. The experimental results demonstrate the usefulness of proposed system with the recognition rate of 88% in the rotation, 89% in the translation, 88% in various image, and with the mean rate of 88.3%.