• Title/Summary/Keyword: Optical data processing

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Implementation of All-Optical Serial-Parallel Data Converters Using Mach-Zehnder Interferometers and Applications (MZI를 이용한 전광 직렬-병렬 데이터 형식 변환기 구현과 활용 방안)

  • Lee, Sung Chul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.2
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    • pp.59-65
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    • 2011
  • All-optical signal processing is expected to offer advantages in speed and power consumption against over electronics signal processing. It has a potential to solve the bottleneck issues of ultra-high speed communication network nodes. All-optical serial-to-parallel and parallel-to-serial data converters would make it possible to easily process the serial data information of a high-speed optical packet without optical-to-electronic-to-optical data conversion. In this paper, we explain the principle of simple and easily expandable all-optical serial-to-parallel and parallel-to-serial data converters based on Mach-Zehnder interferometers. We experimentally demonstrate these data converters at 10Gbit/s serial data rate. They are useful all-optical devices for the all-optical implementations of label decoding, self-routing, control of variable packets, bit-wise logical operation, and data format conversion.

Asymmetric Public Key Cryptography by Using Logic-based Optical Processing

  • Gil, Sang Keun
    • Journal of the Optical Society of Korea
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    • v.20 no.1
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    • pp.55-63
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    • 2016
  • In this paper, a new asymmetric public key cryptography based on the modified RSA algorithm is proposed by using logic-based optical processing. The proposed asymmetric public key algorithm is realized into an optical schematic, where AND, OR and XOR logic operations are implemented by using free space digital optics architecture. Schematically, the proposed optical configuration has an advantage of generating the public keys simultaneously. Another advantage is that the suggested optical setup can also be used for message encryption and decryption by simply replacing data inputs of SLMs in the optical configuration. The last merit is that the optical configuration has a 2-D array data format which can increase the key length easily. This can provide longer 2-D key length resulting in a higher security cryptosystem than the conventional 1-D key length cryptosystem. Results of numerical simulation and differential cryptanalysis are presented to verify that the proposed method shows the effectiveness in the optical asymmetric cryptographic system.

A Study on the Design and Development of Automatic Optical Fiber Aligner (자동 광섬유 정렬 장치의 설계 및 제작에 관한 연구)

  • Kim, Byung-Hee;Uhm, Chul;Choi, Young-Suk
    • Journal of Industrial Technology
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    • v.22 no.B
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    • pp.241-249
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    • 2002
  • Optical fiber is indispensable for optical communication systems that transmit large volumes of data at high speed, but super precision technology in sub-micron units is required for optical axis adjustment. We developed the automatic optical fiber by image processing and automatic loading system. we have developed 6-axis micro stage system for I/O optical fiber arrays, the initial automatic aligning system software for a input optical array by the image processing technique, fast I/O-synchronous aligning strategy, the automatic loading/unloading system and the automatic UV bonding mechanism. In order to adjust the alignment it used on PC based motion controller, a $10{\mu}m$ repeat-detailed drawing of automatic loading system is developed by a primary line up for high detailed drawing. Also, at this researches used the image processing system and algorithm instead of the existing a primary hand-line up and fiber input array and waveguide chip formed in line by automatic.

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The development of automatic optical aligner with using the image processing (Image Processing을 이용한 자동 광 정렬 장치 개발)

  • Um, Chul;Kim, Byung-Hee;Kim, Sung-Geun;Choi, Young-Seok
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.536-539
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    • 2002
  • In this paper, we developed the automatic optical fiber aligner by image processing and automatic loading system. Optical fiber is indispensable for optical communication systems that transmit large volumes of data at high speed, but super-precision technology in sub-micron units is required for optical axis adjustment, we have developed 6-axis micro stage system for I/O optical fiber arrays, the initial automatic aligning system/software for a input optical array by the image processing technique, fast I/O-synchronous aligning strategy, the automatic loading/unloading system and the automatic UV bonding mechanism. In order to adjust the alignment it used on PC based motion controller, a $10\mu\textrm{mm}$ repeat-detailed drawing of automatic loading system is developed by a primary line up for high detailed drawing. Also, at this researches used the image processing system and algorithm instead of the existing a primary hand-line up. and fiber input array and waveguide chip formed in line by automatic. Therefore, the developed and manufactured optical aligning system in this research fulfills the great role of support industry for major electronics manufacturers, telecommunications companies, universities, government agencies and other research institutions.

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Optical Image Encryption and Decryption Considering Wireless Communication Channels

  • Cho, Myungjin;Lee, In-Ho
    • Journal of Information Processing Systems
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    • v.10 no.2
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    • pp.215-222
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    • 2014
  • In this paper, we discuss optical encryption and decryption considering wireless communication channels. In wireless communication systems, the wireless channel causes noise and fading effects of the transmitted information. Optical encryption technique such as double-random-phase encryption (DRPE) is used for encrypting transmitted data. When the encrypted data is transmitted, the information may be lost or distorted because there are a lot of factors such as channel noise, propagation fading, etc. Thus, using digital modulation and maximum likelihood (ML) detection, the noise and fading effects are mitigated, and the encrypted data is estimated well at the receiver. To the best of our knowledge, this is the first report that considers the wireless channel characteristics of the optical encryption technique.

Image processing technique for Optical Camera Communication (OCC에서의 이미지 처리 기술)

  • Nguyen, Trang;Le, Nam-Tuan;Jang, Yeong Min
    • Journal of Satellite, Information and Communications
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    • v.9 no.3
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    • pp.47-52
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    • 2014
  • This paper introduces the Optical Camera Communications (OCC) using image processing technique. The architecture and operation of OCC system are given. To enhance data rate which is limited by sampling operation of commercial 30fps camera, multi colors transmission technique is employed, leading to the importance of color image processing technique. Multi color encoding and image processing based decoding will be proposed in the paper.

Estimation of Moving Information for Tracking of Moving Objects

  • Park, Jong-An;Kang, Sung-Kwan;Jeong, Sang-Hwa
    • Journal of Mechanical Science and Technology
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    • v.15 no.3
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    • pp.300-308
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    • 2001
  • Tracking of moving objects within video streams is a complex and time-consuming process. Large number of moving objects increases the time for computation of tracking the moving objects. Because of large computations, there are real-time processing problems in tracking of moving objects. Also, the change of environment causes errors in estimation of tracking information. In this paper, we present a new method for tracking of moving objects using optical flow motion analysis. Optical flow represents an important family of visual information processing techniques in computer vision. Segmenting an optical flow field into coherent motion groups and estimating each underlying motion are very challenging tasks when the optical flow field is projected from a scene of several moving objects independently. The problem is further complicated if the optical flow data are noisy and partially incorrect. Optical flow estimation based on regulation method is an iterative method, which is very sensitive to the noisy data. So we used the Combinatorial Hough Transform (CHT) and Voting Accumulation for finding the optimal constraint lines. To decrease the operation time, we used logical operations. Optical flow vectors of moving objects are extracted, and the moving information of objects is computed from the extracted optical flow vectors. The simulation results on the noisy test images show that the proposed method finds better flow vectors and more correctly estimates the moving information of objects in the real time video streams.

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Signal Synchronization Using a Flicker Reduction and Denoising Algorithm for Video-Signal Optical Interconnect

  • Sangirov, Jamshid;Ukaegbu, Ikechi Augustine;Lee, Tae-Woo;Cho, Mu-Hee;Park, Hyo-Hoon
    • ETRI Journal
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    • v.34 no.1
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    • pp.122-125
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    • 2012
  • A video signal through a high-density optical link has been demonstrated to show the reliability of optical link for high-data-rate transmission. To reduce optical point-to-point links, an electrical link has been utilized for control and clock signaling. The latency and flicker with background noise occurred during the transferring of data across the optical link due to electrical-to-optical with optical-to-electrical conversions. The proposed synchronization technology combined with a flicker and denoising algorithm has given good results and can be applied in high-definition serial data interface (HD-SDI), ultra-HD-SDI, and HD multimedia interface transmission system applications.

Trends in Deep Learning-based Medical Optical Character Recognition (딥러닝 기반의 의료 OCR 기술 동향)

  • Sungyeon Yoon;Arin Choi;Chaewon Kim;Sumin Oh;Seoyoung Sohn;Jiyeon Kim;Hyunhee Lee;Myeongeun Han;Minseo Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.453-458
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    • 2024
  • Optical Character Recognition is the technology that recognizes text in images and converts them into digital format. Deep learning-based OCR is being used in many industries with large quantities of recorded data due to its high recognition performance. To improve medical services, deep learning-based OCR was actively introduced by the medical industry. In this paper, we discussed trends in OCR engines and medical OCR and provided a roadmap for development of medical OCR. By using natural language processing on detected text data, current medical OCR has improved its recognition performance. However, there are limits to the recognition performance, especially for non-standard handwriting and modified text. To develop advanced medical OCR, databaseization of medical data, image pre-processing, and natural language processing are necessary.

KOMPSAT Data Processing System: Preliminary Acceptance Test Results

  • Kim, Yong-Seung;Kim, Youn-Soo;Lim, Hyo-Suk;Lee, Dong-Han;Kang, Chi-Ho
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.331-336
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    • 1999
  • The optical sensors of Electro-Optical Camera (EOC) and Ocean Scanning Multi-spectral Imager (OSMI) aboard the Korea Multi-Purpose SATellite (KOMPSAT) will be placed in a sun synchronous orbit in 1999. The EOC and OSMI sensors are expected to produce the land mapping imagery of Korean territory and the ocean color imagery of world oceans, respectively. Utilization of the EOC and OSMI data would encompass the various fields of science and technology such as land mapping, land use and development, flood monitoring, biological oceanography, fishery, and environmental monitoring. Readiness of data support for user community is thus essential to the success of the KOMPSAT program. As part of testing such readiness prior to the KOMPSAT launch, we have performed the preliminary acceptance test for the KOMPSAT data processing system using the simulated EOC and OSMI data sets. The purpose of this paper is to demonstrate the readiness of the KOMPSAT data processing system, and to help data users understand how the KOMPSAT EOC and OSMI data are processed and archived. Test results demonstrate that all requirements described in the data processing specification have been met, and that the image integrity is maintained for all products. It is however noted that since the product accuracy is limited by the simulated sensor data, any quantitative assessment of image products can not be made until actual KOMPSAT images will be acquired.

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