• Title/Summary/Keyword: surface mount device

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Ultra Precision Machining Characteristics of PMMA in HMD optical system (HMD 광학계용 PMMA의 초정밀 가공 특성)

  • Yang J.S.;Kim G.H.;Yang S.C.;Lee I.J.;Kim M.S.;Lee D.J.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1566-1570
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    • 2005
  • The aspherical lenses are used as optical lens of HMD optical system. The optimum cutting condition of PMMA lens sample with ultra precision SPDT, the diamond tool nose radius, the cutting speed, the feed rate, the depth of cut, and cutting fluid type are found. The demanded surface roughness 10 nm Ra, aspherical form error $1.0\;\mu{m}$ P-V for aspherical lens of optical data storage device are satisfied.

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An Experimental Study on the Dynamic Load Characteristics of Surface Mount Device(SMD) (칩마운트 (SMD) 장비의 동하중(動荷重) 발생특성에 관한 실험적 연구)

  • Baek, Jae-Ho;Lee, Hong-Ki;Kim, Kang-Boo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.1913-1917
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    • 2000
  • SMD Equipment convey an electronic parts at high speed, then assemble parts into a circuit board, and it develop a long time-duration dynamic force to be caused by moving mass. Vibration problem to be caused by SMD Equipment have an effect on micro-meter level's precision production process, directly, and dynamic stability of building. In the cause of quantitatively access about its vibration problem, input information(or data) of structure dynamic analysis need accuracy information of dynamic load. Determination of Dynamic load is various kinds of method using experimental and theory. In this paper, we got dynamic load using direct measurement method. We expect that an study on the dynamic load characteristic of SMD can be used to Equipment development of low level vibration and basis information of structure dynamic analysis.

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380-nm Ultraviolet Light-Emitting Diodes with InGaN/AlGaN MQW Structure

  • Bae, Sung-Bum;Kim, Sung-Bok;Kim, Dong-Churl;Nam, Eun Soo;Lim, Sung-Mook;Son, Jeong-Hwan;Jo, Yi-Sang
    • ETRI Journal
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    • v.35 no.4
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    • pp.566-570
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    • 2013
  • In this paper, we demonstrate the capabilities of 380-nm ultraviolet (UV) light-emitting diodes (LEDs) using metal organic chemical vapor deposition. The epi-structure of these LEDs consists of InGaN/AlGaN multiple quantum wells on a patterned sapphire substrate, and the devices are fabricated using a conventional LED process. The LEDs are packaged with a type of surface mount device with Al-metal. A UV LED can emit light at 383.3 nm, and its maximum output power is 118.4 mW at 350 mA.

System Design for High-speed Visual Inspection of Electronic Components (전자부품의 고속 외관검사를 위한 시스템 설계)

  • Yoo, Seungryeol
    • Journal of the Semiconductor & Display Technology
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    • v.11 no.3
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    • pp.39-44
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    • 2012
  • Electronics in modern lives have become more miniaturized and precise. Multi Layered Ceramic Capacitor (MLCC) occupies 50% of electronic components consisting of electronics. This high volume of the production needs high speed and more precise machine performances. The dominate parts of the production equipments are the module transporting components and the visual inspection module. Most visual inspection has been off-line because of the image processing time. In this paper, a new image processing method is proposed to reduce thousands of matrix calculation for image processing and realize on-line high speed inspection.

A study on pattern recognition using DCT and neural network (DCT와 신경회로망을 이용한 패턴인식에 관한 연구)

  • 이명길;이주신
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.3
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    • pp.481-492
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    • 1997
  • This paper presents an algorithm for recognizing surface mount device(SMD) IC pattern based on the error back propoagation(EBP) neural network and discrete cosine transform(DCT). In this approach, we chose such parameters as frequency, angle, translation and amplitude for the shape informantion of SMD IC, which are calculated from the coefficient matrix of DCT. These feature parameters are normalized and then used for the input vector of neural network which is capable of adapting the surroundings such as variation of illumination, arrangement of objects and translation. Learning of EBP neural network is carried out until maximum error of the output layer is less then 0.020 and consequently, after the learning of forty thousand times, the maximum error have got to this value. Experimental results show that the rate of recognition is 100% in case of the random pattern taken at a similar circumstance as well as normalized training pattern. It also show that proposed method is not only relatively relatively simple compare with the traditional space domain method in extracting the feature parameter but also able to re recognize the pattern's class, position, and existence.

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Investigation of Asymmetric Aspherical Triangular Prism Optical System for Video Information Display (영상정보디스플레이용 비대칭 비구면 삼각 프리즘 광학계 연구)

  • Youn, Gap-Suck;Yoo, Kyung-Sun;Hyun, Dong-Hoon
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.23 no.6
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    • pp.590-595
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    • 2014
  • We have investigated anamorphic prism lenses with distortions of 0.3-0.5%. We designed the plastic triangular lens and confirmed the minimum resolution using MTF graphs. Also we confirmed that the SVGA optical system can realize a resolution of $864{\times}648$ 56 megapixels. A distortion of about 0.5% aberration appears in the maximum field, and a finite beam aberration of about $15{\mu}m$ is confirmed. We made a mold based on the design data and completed the prism lens through exodus molding. We confirmed the shape error (< $30{\mu}m$) and surface roughness (> 40 nm) of the three sides. We made the video-information-display prototype glasses using prism lens by measuring the performance, we determined the distortion aberration (0.3%) and SVGA resolution. Our approach will enable fabrication of a portable large-screen display device for glasses and sunglasses for the domestic market and, after 2015, for the world market.

Optimum Condition of Micro Fuse Fusing as a Function Changed Thickness of Thermosetting Ink Epoxy (열경화성 잉크 에폭시의 두께 변화에 따른 마이크로 퓨즈 용단의 최적 조건)

  • Kim, Do-Kyeong;Hwang, Neung-Hwan;Kil, Tae-Hong;Lee, Soo-Hwa;Seo, Dae-Man;Kim, Min-Ho;Kim, Jong-Sick
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.27 no.10
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    • pp.623-629
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    • 2014
  • For the semiconductor device safety from over current in the digital electronic circuit system must be surely designed that it's surface mount type micro fuse device. In this paper, We has analysed to the fusing character of micro fuse as a function changed thickness of thermosetting ink epoxy. To the change of thermosetting ink epoxy thickness with in production lot, in the electrically character (fusing test in the 2 multiple over current and 10 multiple over current, surface temperature test in the 1.25 multiple over current) of micro fuse has been tested. According to the electrically character result, changed thickness of thermosetting ink epoxy in designed micro fuse withheld direct effect in both end resistance changes. Also, because high thermal energy in the micro fuse test of over current was occurred to effect such as thermal runaway and explosion. Therefore, screen printing process in the design of micro fuse using thermosetting ink epoxy is very important for production quality improvement.

A Compact Metamaterial Chip Antenna with Ground Coupling Structure for Bluetooth Application (Ground Coupling 구조를 이용한 초소형 Metamaterial Bluetooth 칩 안테나)

  • Park, Young-Hwan;Lee, Kang-Hee;Ji, Jeong-Keun;Ryu, Ji-Woong;Kim, Gi-Ho;Seong, Won-Mo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.20 no.9
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    • pp.930-935
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    • 2009
  • This paper describes a miniaturezed metamaterial BT chip antenna for mobile devices. The size of the proposed antenna is $3.0\;mm(W){\times}2.0\;mm(L){\times}1.2\;mm(H)$. And it is fabricated by chip type. The zeroth-order resonant properties are analyzed by magnitude and phase distributions of the surface current using surface current scanning system. The antenna offers omni-directional radiation patterns and measured 3D average gain is over - 1.7 dBi.

Design of an Anamorphic Aspherical Prism Lens for the Head Mount Display (HMD용 회전 비대칭 비구면 프리즘 렌즈 설계)

  • Park, Seung-Hwan;Lee, Dong-Hee
    • Journal of Korean Ophthalmic Optics Society
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    • v.13 no.4
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    • pp.83-88
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    • 2008
  • Purpose: To design an anamorphic aspherical prism lens for the HMD optical system. Methods: First, we get the initial data, needed in design, which are distances between each surface etc., by analyzing user's demended specifications and by drawing geometrically the shape of prism lens by using CAD. Based on these data and using 'ode V' which is an optical design software, we could progress the optimization in which we treat the coefficients of the anamorphic aspherical surface as the principal variables. To reduce the cost in DTM manufacturing, we would optimize the optical system with the transmitting surface, existed in the direction of video device among 3 surfaces of the prism lens, remaining as a plane. Results: we could design one anamorphic aspherical prism lens which has the finite ray aberration of 15 ${\mu}m$, the distortion of 0.5%, and the MTF value of 0.3 over at 36 lp/mm for the video device of 12 mm ${\times}$ 9 mm size. Conclusions: We designed a prism lens used for HMD. This prism lens has the optical capacities of 15 ${\mu}m$ finite ray aberration and 0.5% distortion for the video device of 12 mm ${\times}$ 9 mm size, and become the optical system having the MTF value of 0.3 over at 36 lp/mm.

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Pattern recognition of SMD IC using wavelet transform and neural network (웨이브렛 변환과 신경회로망을 이용한 SMD IC 패턴인식)

  • 이명길;이준신
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.7
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    • pp.102-111
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    • 1997
  • In this paper, a patern recognition method of surface mount device(SMD) IC using wavelet transform and neural network is proposed. We chose the feature parameter according to the characteristics of coefficient matrix which is obtained from four level discrete wavelet transform (DWT). These feature parameters are normalized and then used for the input vector of neural network which is capable of adapting the surroundings such as variation of illumination, arrangement of objects and translation. Experimental results show that when the same form of feature pattern, as is used for learning, is put into neural network and gained 100% rate ofrecognition irrespective of SMD IC kinds, location and variation of illumination. In the case of unused feature pattern for learning, the recognition rate is 85.9% under the similar surroundings, where as an average recognition rate is 96.87% for the case of reregulated value of illumination. Proosed method is relatively simple compared with the traditional space domain method in extracting the feature parameter and is also well suited for recognizing the pattern's class, position and existence. It can also shorten the processing tiem better than method extracting feature parameter with the use of discrete cosine transform(DCT) and adapt the surroundings such as variation of illumination, the arrangement and the translation of SMD IC.

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