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A Study on Electro-deposited Multi-layered Diamond Tool for Grinding Sapphire Wafers (사파이어 절삭용 다층 전착 다이아몬드 공구에 대한 연구)

  • Lim, Goun;Song, William;Hong, Joo Wha
    • Journal of the Korean Society for Heat Treatment
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    • v.30 no.5
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    • pp.222-226
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    • 2017
  • Recently sapphire wafer has expected as smart phone cover material, however, brittle nature of sapphire needed edge grinding processes to prevent early initiation of cracks. Electro-deposited multi-layered groove tools with $35{\mu}m$ diamond particles were studied for sapphire wafer grinding. Solid particle flow behaviors in agitated electrolyte was studied using PIV(Particle Image Velocimetry), and uniform particle distribution in Ni bond were obtained when agitating impeller was located lower part of electrolyte. Hardness values of $400{\pm}50Hv$ were maintained for retention of diamond particles in electro-deposited bond layer. Sapphire wafer edge grinding test was carried out and multi-layered $160{\mu}m$ thick diamond tool showed much greater grinding capabilities up to 2000 sapphire wafers than single-layered $50{\mu}m$ thick diamond electro-deposited tools of 420 wafers. The reason why 3 times thicker multi-layered tools than single-layered tools showed 5 times longer tool lives in grinding processes was attributed to self-dressed new diamond particles in multi-layered tools, and multi-layered diamond tools could be promising for sapphire grinding.

Design and Implementation of Virtual Aquarium

  • Bak, Seon-Hui;Lee, Heeman
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.12
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    • pp.43-49
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    • 2016
  • This paper presents the design and implementation of virtual aquarium by generating 3D models of fishes that are colored by viewers in an aim to create interaction among viewers and aquarium. The virtual aquarium system is composed of multiple texture extraction modules, a single interface module and a single display module. The texture extraction module recognize the QR code on the canvas to get information of the predefined mapping table and then extract the texture data for the corresponding 3D model. The scanned image is segmented and warp transformed onto the texture image by using the mapping information. The extracted texture is transferred to the interface module to save on the server computer and the interface module sends the fish code and texture information to the display module. The display module generates a fish on the virtual aquarium by using predefined 3D model with the transmitted texture. The fishes on the virtual aquarium have three different swimming methods: self-swimming, autonomous swimming, and leader-following swimming. The three different swimming methods are discussed in this paper. The future study will be the implementation of virtual aquarium based on storytelling to further increase interactions with the viewer.

Design of a 25 mW 16 frame/s 10-bit Low Power CMOS Image Sensor for Mobile Appliances

  • Kim, Dae-Yun;Song, Min-Kyu
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.11 no.2
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    • pp.104-110
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    • 2011
  • A CMOS Image Sensor (CIS) mounted on mobile appliances requires low power consumption due to limitations of the battery life cycle. In order to reduce the power consumption of CIS, we propose novel power reduction techniques such as a data flip-flop circuit with leakage current elimination and a low power single slope analog-to-digital (A/D) converter with a sleep-mode comparator. Based on 0.13 ${\mu}m$ CMOS process, the chip satisfies QVGA resolution (320 ${\times}$ 240 pixels) that the cell pitch is 2.25 um and the structure is a 4-Tr active pixel sensor. From the experimental results, the performance of the CIS has a 10-b resolution, the operating speed of the CIS is 16 frame/s, and the power dissipation is 25 mW at a 3.3 V(analog)/1.8 V(digital) power supply. When we compare the proposed CIS with conventional ones, the power consumption was reduced by approximately 22% in the sleep mode, and 20% in the active mode.

Experimental Investigation of the flow around an Oscillating Circular Cylinder by Using a PIV System (진동하는 원형주상체 주위의 유동에 관한 PIV를 이용한 실험적 연구)

  • Song Museok;Lee Sang-Dae
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.6 no.1
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    • pp.60-67
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    • 2003
  • Flow around an oscillating circular cylinder was experimentally investigated. With varying Keulegen-Carpenter(KC) number from 10 to 30 the flow field with vortex sheddings and the related hydrodynamic fortes exerting on the cylinder were measured. A newly developed PW(paricle image velocimetry) successfully captured the complex vortical flows varying with the KC number and the flow patterns were 'traverse street', 'single pairing' and 'double pairing' of vortices with increasing KC number, At a certain KC number range the lift force undergoes a transition showing little periodicity due to surrounding complicated shedded vortices.

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Spatial Frequency Adaptive Image Restoration Using Wavelet Transform (웨이브릿 변환을 이용한 공간주파수 적응적 영상복원)

  • 우헌배;기현종;정정훈;신정호;백준기
    • Journal of Broadcast Engineering
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    • v.8 no.2
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    • pp.204-208
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    • 2003
  • In this paper, a new matrix vector formulation for a wavelet-based subband decomposition is introduced. This formulation provides a means to compute a regular multi-resolution analysis over many levels of decomposition. With this approach. any single channel linear space-invariant filtering problem can be cast into a multi-channel framework. This decomposition Is applied to the linear space-invariant image restoration problem and propose a frequency-adaptive constrained least squares(CLS) filter. In the proposed filter, we use different parameters adaptively according to subband characteristics. Experimental results are presented for the proposed frequency-adaptive CLS filter These experiments show that if accurate estimates of the subband characteristics are available, the proposed frequency adaptive CLS filter provides significant improvements over the traditional single channel filter.

Tracking of Single Moving Object based on Motion Estimation (움직임 추정에 기반한 단일 이동객체 추적)

  • Oh Myoung-Kwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.6 no.4
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    • pp.349-354
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    • 2005
  • The study on computer vision is aimed on creating a system to substitute the ability of human visual sensor. Especially, moving object tracking system is becoming an important area of study. In this study, we have proposed the tracking system of single moving object based on motion estimation. The tracking system performed motion estimation using differential image, and then tracked the moving object by controlling Pan/Tilt device of camera. Proposed tracking system is devided into image acquisition and preprocessing phase, motion estimation phase and object tracking phase. As a result of experiment, motion of moving object can be estimated. The result of tracking, object was not lost and tracked correctly.

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Fast-Converging Algorithm for Wavefront Reconstruction based on a Sequence of Diffracted Intensity Images

  • Chen, Ni;Yeom, Jiwoon;Hong, Keehoon;Li, Gang;Lee, Byoungho
    • Journal of the Optical Society of Korea
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    • v.18 no.3
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    • pp.217-224
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    • 2014
  • A major advantage of wavefront reconstruction based on a series of diffracted intensity images using only single-beam illumination is the simplicity of setup. Here we propose a fast-converging algorithm for wavefront calculation using single-beam illumination. The captured intensity images are resampled to a series of intensity images, ranging from highest to lowest resampling; each resampled image has half the number of pixels as the previous one. Phase calculation at a lower resolution is used as the initial solution phase at a higher resolution. This corresponds to separately calculating the phase for the lower- and higher-frequency components. Iterations on the low-frequency components do not need to be performed on the higher-frequency components, thus making the convergence of the phase retrieval faster than with the conventional method. The principle is verified by both simulation and optical experiments.

Implementation of a Single Image Detection and Tracking System in Multiple Images (다중 이미지에서 단일 이미지 검출 및 추적 시스템 구현)

  • Choi, Jaehak;Park, Inho;Kim, Seongyoon;Lee, Yonghwan;Kim, Youngseop
    • Journal of the Semiconductor & Display Technology
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    • v.16 no.3
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    • pp.78-81
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    • 2017
  • Augmented Reality(AR) is the core technology of the future knowledge service industry. It is expected to be used in various fields such as medical, education, entertainment etc. Briefly, augmented reality technology is a technique in which a mapped virtual object is augmented when a real-world object is viewed through a device after mapping a real-world object and a virtual object. In this paper, we implemented object detection and tracking system, which is a key technology of augmented reality. To speed up the object tracking, the ORB algorithm, which is a lightweight algorithm compared to the detection algorithm, is applied. In addition, KNN classifier, which is a machine learning algorithm, was applied to detect a single object by learning multiple images.

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Development of Customer Satisfaction Index (CSI) Model for Pakistan

  • HAMAYUN, Khadija;HAFEEZ, Shakir
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.7
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    • pp.153-171
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    • 2022
  • To measure economic performance, customer satisfaction indices are constructed. This study proposes an index for banking and telecom, a significant evaluative system for comparing and enhancing customer satisfaction across the industries. The study suggests and examines amendments and improvements to the prior indices and incorporates ignored indicators to propose a punier index for Pakistan. The study is a pioneer in integrating online and offline indices into a single comprehensive model. The study is enriched by the Theory of Reasoned Action and Technological Acceptance Model. A sample of 320 respondents was used. The sample was divided based on gender and marital status. To authenticate the theoretical model, PLS-SEM was applied. We discovered nine latent variables that define customer satisfaction and conclude that a single model can be utilized for e-commerce enterprises as well. The index scores are comparable to the American index for banking and the Turkish index for telecom. Multi-group analysis (MGA) was used to comprehend the differences among the groups. This reveals that customization, design, reliability, and responsiveness induce satisfaction in telecom male and married customers. For the banking industry, the difference exists in complaint handling, customization, corporate image, perceived price, reliability, responsiveness, sentiments, convenience, and security to satisfaction links, image and complaint handling to loyalty links.

EpiLoc: Deep Camera Localization Under Epipolar Constraint

  • Xu, Luoyuan;Guan, Tao;Luo, Yawei;Wang, Yuesong;Chen, Zhuo;Liu, WenKai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.6
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    • pp.2044-2059
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    • 2022
  • Recent works have shown that the geometric constraint can be harnessed to boost the performance of CNN-based camera localization. However, the existing strategies are limited to imposing image-level constraint between pose pairs, which is weak and coarse-gained. In this paper, we introduce a pixel-level epipolar geometry constraint to vanilla localization framework without the ground-truth 3D information. Dubbed EpiLoc, our method establishes the geometric relationship between pixels in different images by utilizing the epipolar geometry thus forcing the network to regress more accurate poses. We also propose a variant called EpiSingle to cope with non-sequential training images, which can construct the epipolar geometry constraint based on a single image in a self-supervised manner. Extensive experiments on the public indoor 7Scenes and outdoor RobotCar datasets show that the proposed pixel-level constraint is valuable, and helps our EpiLoc achieve state-of-the-art results in the end-to-end camera localization task.