• Title/Summary/Keyword: 다층보

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Micro fluxgate magnetic sensor using multi layer PCB process (PCB 다층 적층기술을 이용한 마이크로 플럭스게이트 자기 센서)

  • Choi, Won-Youl;Hwang, Jun-Sik;Choi, Sang-On
    • Journal of Sensor Science and Technology
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    • v.12 no.2
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    • pp.72-78
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    • 2003
  • To observe the effect of excitation coil pitch on the micro fluxgate magnetic sensor, two sensors are fabricated using multi layer board process and the pitch distance of excitation coil are $260\;{\mu}m$ and $520\;{\mu}m$, respectively. The fluxgate sensor consists of five PCB stack layers including one layer of magnetic core and four layers of excitation and pick-up coils. The center layer as magnetic core is made of a Co-based amorphous magnetic ribbon with extremely high DC permeability of ${\sim}100,000$ and has a rectangular-ring shape to minimize the magnetic flux leakage. Four outer layers as excitation and pick-up coils have a planar solenoid structure and are made of copper foil. In case of the fluxgate sensor having the excitation coil pitch of $260\;{\mu}m$, excellent linear response over the range of $-100\;{\mu}T$ to $+100\;{\mu}T$ is obtained with sensitivity of 780 V/T at excitation sine wave of $3V_{p_p}$ and 360 kHz. The chip size of the fabricated sensing element is $7.3\;{\times}\;5.7\;mm^2$. The very low power consumption of ${\sim}8\;mW$ is measured. This magnetic sensor is very useful for various applications such as: portable navigation systems, telematics, VR game and so on.

Study of the Perpendicular Magnetic Anisotropy and Exchange Bias in [Pd/Co]5/FeMn Superlattices ([Pd/Co]5/FeMn 초격자 다층 박막구조에서 수직 자기이방성과 교환바이어스에 관한 연구)

  • Kim, Ka-Eon;Choi, Hyeok-Cheol;You, Chun-Yeol
    • Journal of the Korean Magnetics Society
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    • v.22 no.1
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    • pp.1-5
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    • 2012
  • We investigate the exchange bias effect in $[Pd/Co]_5$ superlattice structures which are representative system of the perpendicular magnetic anisotropy. We fabricate Si/$[Pd/Co]_5$/FeMn structures, and study the exchange bias variations by measuring hysteresis loop variations with thickness of FeMn layer. In order to optimize the perpendicular magnetic anisotropy, we fix the thickness of Pd with 1.1 nm and investigate the dependence of the perpendicular magnetic anisotropy on the ferromagnetic Co layer thickness. As results, we find that the biggest coercivity in 0.3 nm of Co layer without FeMn layer. The biggest exchange bias field is found for 0.3 nm of Co layer when we change the Co thickness with fixed FeMn thickness. When we vary thickness of FeMn layer, the biggest coercivity is found for 5 nm of FeMn layer. No exchange bias is observed when the FeMn layer is thinner than 3 nm, and the exchange bias field increases with FeMn layer thickness continuously up to 15 nm.

Magnetoresistance of $[FeNi/Cu/CoFe(Co)/Cu]_N$ Spin-Valve Multilayers ($[FeNi/Cu/CoFe(Co)/Cu]_N$ Spin-Valve 다층박막의 자기저항 특성)

  • 김미양;이정미;최규리;오미영;이장로
    • Journal of the Korean Magnetics Society
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    • v.9 no.1
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    • pp.41-47
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    • 1999
  • $Buffer/[NiFe/Cu/CoFe(Co)/Cu]_N$ spin valve multilayers prepared by dc magnetron sputtering on a corning glass substrate using NiFe and CoFe(Co) posses different coercivities. Dependence of magnetoresistance on the type and thickness of buffer layer, thickness of Cu, NiFe, stacking number of multilayer, substrate temperature and annealing temperature in the form $[NiFe/Cu/CoFe(Co)/Cu]_N$ spin-valve multilayers were investigated. To evaluate effect of magnetoresistance for this samples, X-ray diffraction analysis, vibrating sample magnetometer analysis, and magnetoresistance measurement (4-probe method) were performed the maximum magnetoresistance ratio and coercivity were 7.5 % and 140 Oe, respectively for $Cr-50{\AA}/[NiFe-20{\AA}/Cu-{\AA}/Co-20{\AA}/Cu-50{\AA}]_10$ at substrate temperature of 9$0^{\circ}C$. Magnetoresistance slope maintained 0.25%/Oe until 15$0^{\circ}C$ of annealing temperature, and then decreased to 0.03%/Oe at 20$0^{\circ}C$. It was confirmed that the main factor of thermal stability was deteriorating of soft magnetic properties in the NiFe layer.

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Characteristics of the Angular-dependent Exchange Coupling Bias in Multilayer [Pt/Co]N-IrMn with Toward-in Plane Applied Fields (박막수직방향에서 면방향으로 회전하는 인가자기장에 대한 다층박막 [Pt/Co]N-IrMn의 교환바이어스의 각도의존특성)

  • Kim, S.S.;Yim, H.I.;Rhee, J.R.;Lee, S.S.;Hwang, D.G.
    • Journal of the Korean Magnetics Society
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    • v.18 no.4
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    • pp.142-146
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    • 2008
  • The angular dependence of the exchange bias($H_{ex}$) and coercivity($H_c$) in multilayer $[Pt/Co]_N-IrMn$ with applied measuring field rotated toward in-plane at angle $\theta$ from perpendicular-to-plane, has been measured. Multilayer films consisting of $Si/SiO_2/Ta(50)/Pt(4)/[Pt(15)/Co(t_{Co})]_N/IrMn(50)/Ta(50)(in\;{\AA})$ were prepared by magnetron sputtering under typical base pressure below $2{\times}10^{-8}$ Torr at room temperature. Magnetization measurements were performed on a vibrating sample magnetometer and extraordinary Hall voltage measurement systems after cooling from 550 K under a field of 2 kOe applied along the perpendicular to film direction. The hysteresis loop shifts from the origin not only along the field axis but also along the magnetization axis. $H_{ex}$ and $H_c$ show a $1/cos{\theta}$ and $1/|cos{\theta}|$ dependence on the angle($\theta$) between the applied measuring field and the perpendicular-film direction, respectively. This $1/cos{\theta}$ dependence can be accounted for by considering the angular dependence of strong out-of-plane magnetic anisotropy introduced during the field cooling.

Indirect Adaptive Control of Nonlinear Systems Using a EKF Learning Algorithm Based Wavelet Neural Network (확장 칼만 필터 학습 방법 기반 웨이블릿 신경 회로망을 이용한 비선형 시스템의 간접 적응 제어)

  • Kim Kyoung-Joo;Choi Yoon Ho;Park Jin Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.6
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    • pp.720-729
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    • 2005
  • In this paper, we design the indirect adaptive controller using Wavelet Neural Network(WNN) for unknown nonlinear systems. The proposed indirect adaptive controller using WNN consists of identification model and controller. Here, the WNN is used in both Identification model and controller The WNN has advantage of indicating the location in both time and frequency simultaneously, and has faster convergence than MLPN and RBFN. There are several training methods for WNN, such as GD, GA, DNA, etc. In this paper, we present the Extended Kalman Filter(EKF) based training method. Although it is computationally complex, this algorithm updates parameters consistent with previous data and usually converges in a few iterations. Finally, ore illustrate the effectiveness of our method through computer simulations for the Buffing system and the one-link rigid robot manipulator. From the simulation results, we show that the indirect adaptive controller using the EKF method has better performance than the GD method.

The Study on New Radiating Structure with Multi-Layered Two-Dimensional Metallic Disk Array for Shaping flat-Topped Element Pattern (구형 빔 패턴 형성을 위한 다층 이차원 원형 도체 배열을 갖는 새로운 방사 구조에 대한 연구)

  • 엄순영;스코벨레프;전순익;최재익;박한규
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.13 no.7
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    • pp.667-678
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    • 2002
  • In this paper, a new radiating structure with a multi-layered two-dimensional metallic disk array was proposed for shaping the flat-topped element pattern. It is an infinite periodic planar array structure with metallic disks finitely stacked above the radiating circular waveguide apertures. The theoretical analysis was in detail performed using rigid full-wave analysis, and was based on modal representations for the fields in the partial regions of the array structure and for the currents on the metallic disks. The final system of linear algebraic equations was derived using the orthogonal property of vector wave functions, mode-matching method, boundary conditions and Galerkin's method, and also their unknown modal coefficients needed for calculation of the array characteristics were determined by Gauss elimination method. The application of the algorithm was demonstrated in an array design for shaping the flat-topped element patterns of $\pm$20$^{\circ}$ beam width in Ka-band. The optimal design parameters normalized by a wavelength for general applications are presented, which are obtained through optimization process on the basis of simulation and design experience. A Ka-band experimental breadboard with symmetric nineteen elements was fabricated to compare simulation results with experimental results. The metallic disks array structure stacked above the radiating circular waveguide apertures was realized using ion-beam deposition method on thin polymer films. It was shown that the calculated and measured element patterns of the breadboard were in very close agreement within the beam scanning range. The result analysis for side lobe and grating lobe was done, and also a blindness phenomenon was discussed, which may cause by multi-layered metallic disk structure at the broadside. Input VSWR of the breadboard was less than 1.14, and its gains measured at 29.0 GHz. 29.5 GHz and 30 GHz were 10.2 dB, 10.0 dB and 10.7 dB, respectively. The experimental and simulation results showed that the proposed multi-layered metallic disk array structure could shape the efficient flat-topped element pattern.

Comparisons of Linear Feature Extraction Methods (선형적 특징추출 방법의 특성 비교)

  • Oh, Sang-Hoon
    • The Journal of the Korea Contents Association
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    • v.9 no.4
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    • pp.121-130
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    • 2009
  • In this paper, feature extraction methods, which is one field of reducing dimensions of high-dimensional data, are empirically investigated. We selected the traditional PCA(Principal Component Analysis), ICA(Independent Component Analysis), NMF(Non-negative Matrix Factorization), and sNMF(Sparse NMF) for comparisons. ICA has a similar feature with the simple cell of V1. NMF implemented a "parts-based representation in the brain" and sNMF is a improved version of NMF. In order to visually investigate the extracted features, handwritten digits are handled. Also, the extracted features are used to train multi-layer perceptrons for recognition test. The characteristic of each feature extraction method will be useful when applying feature extraction methods to many real-world problems.

정원설계를 통한 대학생의 정원인식에 관한 연구

  • Kim, Hye-Ju;Lee, Gyeong-Jin
    • Proceedings of the Korean Institute of Landscape Architecture Conference
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    • 2017.10a
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    • pp.13-15
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    • 2017
  • 정원(Garden)은 거주하는 주택과 외부공간의 전이공간 및 소통의 역할을 하고 있는 장소이며, 한국조경헌장에서 조경의 대상에 첫 번째로 거론되고 있는 중요한 조경계획의 대상이다. 조경학과 대학생들이 조경계획수업 시간에 처음 맞이하게 되는 주택정원설계에서 그들이 갖고 있는 정원에 대한 주제, 시설, 식재의 주요 사항들을 파악하고자 본 연구를 시작하였으며, 연구의 대상은 조경학과 대학생 2학년과정이며 시간적 범위는 2012년부터 2015년까지 4개년의 과제제출물을 대상으로 하였다. 대학생들의 정원설계작품을 살펴본 결과 첫째, 대학생들의 정원설계에서 사용되는 주요 주제는 가족과의 활동과 개인 취미생활, 자연에 관한 주제가 가장 많이 표현되었고, 이것은 정원안에서 개인과 가족과의 관계성을 고려하고 배려하는 곳이 정원이라는 인식을 갖고 있다고 보여진다. 둘째, 정원설계에서 조성되는 주요 시설은 휴양시설, 관리시설, 조경시설 순으로 배치되어 있으며, 일부 설계안에서는 교양시설과 유희시설이 조성되어 있었다. 셋째, 정원설계 작품의 식재경향은 교목위주의 식재가 많고, 관목과 지피와의 다층구조식재의 설계안은 몇 작품 보이지 않았으며, 독립식재와 군식 및 열식이 조화롭게 배치되지 못하고 있고, 지피류를 도입한 설계안이 많지 않았다. 오늘날의 정원설계는 다양한 디자인이 요구되고 있고, 근래 다수의 정원박람회에 출품되고 있는 정원작품 또한 디자인과 재료, 주제의 다양성이 풍부해지고 있다. 따라서, 대학생들의 정원설계과정에서 현재 학생들이 갖고 있는 주택정원에 대한 주요 요소에 대하여 다양성과 지속가능성을 높여줄 수 있는 효과적인 방향설정이 필요하다.

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Real-Time Camera Tracking for Markerless Augmented Reality (마커 없는 증강현실을 위한 실시간 카메라 추적)

  • Oh, Ju-Hyun;Sohn, Kwang-Hoon
    • Journal of Broadcast Engineering
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    • v.16 no.4
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    • pp.614-623
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    • 2011
  • We propose a real-time tracking algorithm for an augmented reality (AR) system for TV broadcasting. The tracking is initialized by detecting the object with the SURF algorithm. A multi-scale approach is used for the stable real-time camera tracking. Normalized cross correlation (NCC) is used to find the patch correspondences, to cope with the unknown and changing lighting condition. Since a zooming camera is used, the focal length should be estimated online. Experimental results show that the focal length of the camera is properly estimated with the proposed online calibration procedure.

The Postprocessor of Automatic Segmentation for Synthesis Unit Generation (합성단위 자동생성을 위한 자동 음소 분할기 후처리에 대한 연구)

  • 박은영;김상훈;정재호
    • The Journal of the Acoustical Society of Korea
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    • v.17 no.7
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    • pp.50-56
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    • 1998
  • 본 논문은 자동 음소 분할기의 음소 경계 오류를 보상하기 위한 후처리 (Postprocessing)에 관한 연구이다. 이는 현재 음성 합성을 위한 음성/언어학적 연구, 운율 모델링, 합성단위 자동 생성 연구 등에 대량의 음소 단위 분절과 음소 레이블링된 데이터의 필요성에 따른 연구의 일환이다. 특히 수작업에 의한 분절 및 레이블링은 일관성의 유지가 어렵고 긴 시간이 소요되므로 자동 분절 기술이 더욱 중요시 되고 있다. 따라서, 본 논문은 자동 분절 경계의 오류 범위를 줄일 수 있는 후처리기를 제안하여 자동 분절 결과를 직접 합성 단위로 사용할 수 있고 대량의 합성용 운율 데이터 베이스 구축에 유용함을 기술한다. 제안된 후처리기는 수작업으로 조정된 데이터의 특징 벡터를 다층 신경회로망 (MLP:Multi-layer perceptron)을 통해 학습을 한 후, ETRI(Electronics and Telecommunication Research Institute)에서 개발된 음성 언어 번역 시스템을 이용한 자동 분절 결과와 후처리기인 MLP를 이용하여 새로운 음소 경계를 추출한다. 고립단어로 발성된 합성 데이터베이스에서 후처리기로 보정된 분절 결과는 음성 언어 번역 시스템의 분할율보 다 약 25%의 향상된 성능을 보였으며, 절대 오류(|Hand label position-Auto label position |)는 약 39%가 향상되었다. 이는 MLP를 이용한 후처리기로 자동 분절 오류의 범위를 줄 일 수 있고, 대량의 합성용 운율 데이터 베이스 구축 및 합성 단위의 자동생성에 이용될 수 있음을 보이는 것이다.

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