• Title/Summary/Keyword: processing

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A Study on the Bio-Cell Image Segmentation (바이오 셀 영상 분할에 관한 연구)

  • Chun, Byung-Tae;Lee, Hyoung-Gu;Cho, Soo-Hyun;Jung, Yeon-Gu;Park, Sun-Hee
    • Annual Conference of KIPS
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    • 2002.11a
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    • pp.743-746
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    • 2002
  • 바이오 인포매틱스(bioinformatics) 분야 중 한 분야인 셀 기반 분석(cell-based assay) 시스템 구축의 필요성이 최근 대두되고 있다. 특정 시약 또는 시험 물질을 셀 세포에 투여했을 때 시간 축 변화에 따라 변화하는 세포의 변화를 감지하기 위해서 세포 영상의 영역 분할이 선행되어야 한다. 본 논문에서는 전체 영상에 대하여 셀 공통 영역을 추출하고, 추출된 공통영역을 스네이크(snake) 기법을 이용하여 세포 영역을 분할하는 방법을 제안하고자 한다.

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Development of 32-Channel Image Acquisition System for Thickness Measurement of Retina (망막 두께 측정을 위한 32채널 영상획득장치 개발)

  • 양근호;유병국
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.110-113
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    • 2003
  • In this paper, the multi-channel high speed data acquisition system is implemented. This high speed signal processing system for 3-D image display is applicable to the manipulation of a medical image processing, multimedia data and various fields of digital image processing. In order to convert the analog signal into digital one, A/D conversion circuit is designed. PCI interface method is designed and implemented, which is capable of transmission a large amount of data to computer. In order to, especially, channel extendibility of images acquisition, bus communication method is selected. By using this bus method, we can interface each module effectively. In this paper, 32-channel A/D conversion and PCI interface system for 3-dimensional and real-time display of the retina image is developed. The 32-channel image acquisition system and high speed data transmission system developed in this paper is applicable to not only medical image processing as 3-D representation of retina image but also various fields of industrial image processing in which the multi-point realtime image acquisition system is needed.

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Radar Signal Processor Design Using FPGA (FPGA를 이용한 레이더 신호처리 설계)

  • Ha, Changhun;Kwon, Bojun;Lee, Mangyu
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.4
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    • pp.482-490
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    • 2017
  • The radar signal processing procedure is divided into the pre-processing such as frequency down converting, down sampling, pulse compression, and etc, and the post-processing such as doppler filtering, extracting target information, detecting, tracking, and etc. The former is generally designed using FPGA because the procedure is relatively simple even though there are large amounts of ADC data to organize very quickly. On the other hand, in general, the latter is parallel processed by multiple DSPs because of complexity, flexibility and real-time processing. This paper presents the radar signal processor design using FPGA which includes not only the pre-processing but also the post-processing such as doppler filtering, bore-sight error, NCI(Non-Coherent Integration), CFAR(Constant False Alarm Rate) and etc.

A Hardware/Software Codesign for Image Processing in a Processor Based Embedded System for Vehicle Detection

  • Moon, Ho-Sun;Moon, Sung-Hwan;Seo, Young-Bin;Kim, Yong-Deak
    • Journal of Information Processing Systems
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    • v.1 no.1 s.1
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    • pp.27-31
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    • 2005
  • Vehicle detector system based on image processing technology is a significant domain of ITS (Intelligent Transportation System) applications due to its advantages such as low installation cost and it does not obstruct traffic during the installation of vehicle detection systems on the road[1]. In this paper, we propose architecture for vehicle detection by using image processing. The architecture consists of two main parts such as an image processing part, using high speed FPGA, decision and calculation part using CPU. The CPU part takes care of total system control and synthetic decision of vehicle detection. The FPGA part assumes charge of input and output image using video encoder and decoder, image classification and image memory control.

Detection of Subsurface Defects in Metal Materials Using Infrared Thermography; Image Processing and Finite Element Modeling

  • Ranjit, Shrestha;Kim, Won Tae
    • Journal of the Korean Society for Nondestructive Testing
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    • v.34 no.2
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    • pp.128-134
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    • 2014
  • Infrared thermography is an emerging approach to non-contact, non-intrusive, and non-destructive inspection of various solid materials such as metals, composites, and semiconductors for industrial and research interests. In this study, data processing was applied to infrared thermography measurements to detect defects in metals that were widely used in industrial fields. When analyzing experimental data from infrared thermographic testing, raw images were often not appropriate. Thus, various data analysis methods were used at the pre-processing and processing levels in data processing programs for quantitative analysis of defect detection and characterization; these increased the infrared non-destructive testing capabilities since subtle defects signature became apparent. A 3D finite element simulation was performed to verify and analyze the data obtained from both the experiment and the image processing techniques.

Relay Server System Construction for 3D Holoportation Service (3차원 홀로포테이션 서비스를 위한 중계서버 시스템 구축)

  • Kim, Myeong-kyun;Kim, Yura;Lee, Seungho;Kim, Sungjei;Kim, Je woo
    • Annual Conference of KIPS
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    • 2019.10a
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    • pp.28-30
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    • 2019
  • 본 논문은 3차원으로 복원된 데이터를 원격지에 있는 홀로렌즈에 실시간으로 전달하기 위해 개발된 중계서버 시스템을 제안한다. 원격지에 있는 홀로렌즈를 위한 실시간 전송 시스템 구축을 위해서는 복원된 3차원 데이터의 압축 스트림을 복호화 해주는 중계서버 시스템이 필요하다. 이와 같은 3차원 데이터의 구조와 원격지에서 데이터를 전달 받는 홀로렌즈 환경을 고려하여 중계서버 시스템을 설계하고 구축 했다.

Utilization of Poultry Processing Wastes

  • Linus G. Fonkwe;Rakesh K. Singh;Lee, Jun-Ho
    • Preventive Nutrition and Food Science
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    • v.6 no.4
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    • pp.257-262
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    • 2001
  • Large amounts of poultry processing wastes including blood, feathers, offal, bones and manure are produced annually from the poultry industry. Over the past years, these products have been wasted and now there is a need for the treatment of these processing wastes. These processing wastes could be either discarded, a rather expensive option considering the cost of sewage disposal, or processed into animal feed or food for human consumption. This paper mainly deals with the various methods through which the different poultry processing wastes have been further processed and/or utilized for human flood or animal consumption. This paper also reviews steps involved in general poultry processing.

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Emotion Recognition and Regulation Mechanism in Panic Disorder (공황장애의 감정 인식 및 조절 메커니즘)

  • Kim, Yoo-Ra;Lee, Kyoung-Uk
    • Anxiety and mood
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    • v.7 no.1
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    • pp.3-8
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    • 2011
  • Cognitive models of panic disorder have emphasized cognitive distortions' roles in the maintenance and treatment of panic disorder (PD). However, the patient's difficulty with identifying and managing emotional experiences might contribute to an enduring vulnerability to panic attacks. Numerous researchers, employing emotion processing paradigms and neuroimaging techniques, have investigated the empirical evidence for poor emotion processing in PD. For years, researchers considered that abnormal emotion processing in PD might reflect a dysfunction of the frontal-temporal-limbic circuits. Although neuropsychological studies have not provided consistent results regarding this model, a few studies have tried to find the biological basis of dysfunctional emotion processing in PD. In this article, we examine the possibility of dysregulation of emotion processing in PD. Specifically we discuss the neural basis of emotion processing and the manner in which such neurocognitive impairments may help clarify PD's core symptoms.

Systematic Review of Bug Report Processing Techniques to Improve Software Management Performance

  • Lee, Dong-Gun;Seo, Yeong-Seok
    • Journal of Information Processing Systems
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    • v.15 no.4
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    • pp.967-985
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    • 2019
  • Bug report processing is a key element of bug fixing in modern software maintenance. Bug reports are not processed immediately after submission and involve several processes such as bug report deduplication and bug report triage before bug fixing is initiated; however, this method of bug fixing is very inefficient because all these processes are performed manually. Software engineers have persistently highlighted the need to automate these processes, and as a result, many automation techniques have been proposed for bug report processing; however, the accuracy of the existing methods is not satisfactory. Therefore, this study focuses on surveying to improve the accuracy of existing techniques for bug report processing. Reviews of each method proposed in this study consist of a description, used techniques, experiments, and comparison results. The results of this study indicate that research in the field of bug deduplication still lacks and therefore requires numerous studies that integrate clustering and natural language processing. This study further indicates that although all studies in the field of triage are based on machine learning, results of studies on deep learning are still insufficient.