• Title/Summary/Keyword: automatic processing

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Korean automatic spacing using pretrained transformer encoder and analysis

  • Hwang, Taewook;Jung, Sangkeun;Roh, Yoon-Hyung
    • ETRI Journal
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    • v.43 no.6
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    • pp.1049-1057
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    • 2021
  • Automatic spacing in Korean is used to correct spacing units in a given input sentence. The demand for automatic spacing has been increasing owing to frequent incorrect spacing in recent media, such as the Internet and mobile networks. Therefore, herein, we propose a transformer encoder that reads a sentence bidirectionally and can be pretrained using an out-of-task corpus. Notably, our model exhibited the highest character accuracy (98.42%) among the existing automatic spacing models for Korean. We experimentally validated the effectiveness of bidirectional encoding and pretraining for automatic spacing in Korean. Moreover, we conclude that pretraining is more important than fine-tuning and data size.

The Study of Visual Tool for Automated Ultrasonic Examination of the Piping Welds in NPP (자동 초음파 신호평가를 위한 비쥬얼도구에 관한 연구)

  • Yoo, Hyun Joo;Choi, Sung Nam;Kim, Hyung Nam;Lee, Hee Jong
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.6 no.1
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    • pp.9-15
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    • 2010
  • This paper describes the Visual Tool for automatic ultrasonic examination that is under developing as a part of the project for development of automatic ultrasonic wave acquisition and analysis program. This tool that is supported by various image processing techniques will be adopted to detect the flaws in the component and piping welds in NPP. Visual Tool will enhance the integrity of nuclear power plant. The object of this paper is to address the Visual Tool which is developing for automatic ultrasonic inspection of welds in NPP.

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A Method for Automatic Generation of OWL-S Service Ontology

  • Yang, Jin-Hyuk;Chung, In-Jeong
    • Journal of Information Processing Systems
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    • v.2 no.2
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    • pp.114-123
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    • 2006
  • We present in this paper the methodology for automatic generation of OWL-S service model ontology along with the results and issues. First, we extract information related to atomic services and their properties such as IOPE from the UML class diagram, and retrieve information related to the composition of services from the UML state-chart diagram. Then, the XSLT applications utilize the acquired information to generate the OWL-S service model ontology through the predefined mappings between OWL-S constructs for composite services and UML state-chart primitives. For the justification of generated service ontology, several validation checks are performed. Our service ontology generation method is general and fully automatic, as well as effective, in that it is achieved in an environment familiar to developers, and information needed to generate service ontology is provided necessarily during service development. It is also noticeable to facilitate representing the condition with GUI rather than a complex language such as OCL.

A Study on Automatic Seam Tracking of Arc Welding Using an Laser Displacement Sensor (레이져 변위센서를 이용한 용접선 자동추적에 관한 연구(2))

  • 양상민;조택동;전진환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.729-733
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    • 1997
  • Due to the variety of disturbance, it is not ease to accomplish the in-process detection of weld line with non-contact sensor. To get around this difficulties problem develop an automatic seam tracking weld system, the reliable signal processing algorithm has been recommanded. In this research, laser displacement sensor is applied as a seam finder in the automatic tracking system. The sensor is controlled by a dc servo motor which is mounted at X-Y moving table. X-Y moving table manipulated by an ac servo motor controls the position and velocity of the welding torch. First, X-Y table moves to Y-axis to search the welding joint feature before starting the welding, and welding joint is from the scanning data and weighting factor for each other. Second, weld line is determined using proposed signal processing algorithm during welding process. Form the experimental results, we could see the possibility that laser displacement sensor with procesed algorithm can be used as a seam finder in welding process under the severe noise (spatter,arc light etc.) condition

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DEVELOPMENT OF THE REAL-TIME CCD PHOTOMETRIC PROGRAM (실시간(REAL-TIME) CCD 측광 프로그램 개발)

  • Kim, Seung-Ri;Park, Nam-Gyu;Pyo, Tae-Su;Seong, Hwan-Gyeong;Lee, Si-U
    • Publications of The Korean Astronomical Society
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    • v.8 no.1
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    • pp.67-82
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    • 1993
  • We developed a real-time CCD photometric program for IBM PC compatibles. This program can perform several functions necessary for CCD photometry such as telescope control. filter rotation, CCD camera control and data acquisition, two-dimensional image processing, simple aperture photometry and automatic differential photometry. The image processing of a spiral galaxy M51 observed with the SNU 61cm reflector shows a well developed spiral structure. Simple aperture photometric results of 14 stars in open cluster NGC 6871 almost accorded with those from IRAF/APPHOT. And we could confirm the light variation of eclipsing binary EM Cep by simultaneous automatic differential photometry of 7stars in NGC 7160. Due to the excellence in the precision and efficiency of automatic differential photometry using CCD. this program is very useful for the study of small amplitude ${\delta}$ Sct type variables and of the photometric stability of B ${\sim}$ F type stars.

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Development of AOI(Automatic Optical Inspection) System for Defect Inspection of Patterned TFT-LCD Panels Using Adjacent Pattern Comparison and Border Expansion Algorithms (패턴이 있는 TFT-LCD 패널의 결함검사를 위하여 근접패턴비교와 경계확장 알고리즘을 이용한 자동광학검사기(AOI) 개발)

  • Kang, Sung-Bum;Lee, Myung-Sun;Pahk, Heui-Jae
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.5
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    • pp.444-452
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    • 2008
  • This paper presents an overall image processing approach of defect inspection of patterned TFT-LCD panels for the real manufacturing process. A prototype of AOI(Automatic Optical Inspection) system which is composed of air floating stage and multi line scan cameras is developed. Adjacent pattern comparison algorithm is enhanced and used for pattern elimination to extract defects in the patterned image of TFT-LCD panels. New region merging algorithm which is based on border expansion is proposed to identify defects from the pattern eliminated defect image. Experimental results show that a developed AOI system has acceptable performance and the proposed algorithm reduces environmental effects and processing time effectively for applying to the real manufacturing process.

Development of High-Performance FEM Modeling System Based on Fuzzy Knowledge Processing

  • Lee, Joon-Seong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.2
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    • pp.193-198
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    • 2004
  • This paper describes an automatic finite element (FE) mesh generation for three-dimensional structures consisting of tree-form surfaces. This mesh generation process consists of three subprocesses: (a) definition of geometric model, (b) generation of nodes, and (c) generation of elements. One of commercial solid modelers is employed for three-dimensional solid structures. Node is generated if its distance from existing node points is similar to the node spacing function at the point. The node spacing function is well controlled by the fuzzy knowledge processing. The Voronoi diagram method is introduced as a basic tool for element generation. Automatic generation of FE meshes for three-dimensional solid structures holds great benefits for analyses. Practical performances of the present system are demonstrated through several mesh generations for three-dimensional complex geometry.

Crater Wear Measurement Using Computer Vision and Automatic Focusing (컴퓨터 비젼 및 자동초점장치를 이용한 크레이타 마멸측정)

  • Yang, Min-Yang;Gwon, O-Dal
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.12
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    • pp.3759-3766
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    • 1996
  • In this paper a new gefchmique to measaure the creater wear using image processing and automatic focusing is presented. The contour detection algorithm, which can adopt ina noisy image, is suggested. It is suitable for eliminating high frequency noses with lower processing time and without blurring. An automatic focusing technique is applied to measure a createrwear depth with a one-dimensional search algorithm for finding the bestfocus. This method is implemented in the tool microscope driven by a servo motor. The results show that the countour and depth of crater wear can be measured reliably.

A Study on an Automatic Multi-Focus System for Cell Observation

  • Park, Jaeyoung;Lee, Sangjoon
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.47-54
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    • 2019
  • This study is concerned with the mechanism and structure of an optical microscope and an automatic multi-focus algorithm for automatically selecting sharp images from multiple foci of a cell. To obtain precise cell images quickly, a z-axis actuator with a resolution of $0.1{\mu}m$ was designed to control an optical microscope Moreover, a lighting control system was constructed to select the color and brightness of light that best suit the object being viewed. Cell images are captured by the instrument and the sharpness of each image is determined using Gaussian and Laplacian filters. Next, cubic spline interpolation and peak detection algorithms are applied to automatically find the most vivid points among multiple images of a single object. A cancer cell imaging experiment using propidium iodide staining confirmed that a sharp multipoint image can be obtained using this microscope. The proposed system is expected to save time and effort required to extract suitable cell images and increase the convenience of cell analysis.

Applying Token Tagging to Augment Dataset for Automatic Program Repair

  • Hu, Huimin;Lee, Byungjeong
    • Journal of Information Processing Systems
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    • v.18 no.5
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    • pp.628-636
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    • 2022
  • Automatic program repair (APR) techniques focus on automatically repairing bugs in programs and providing correct patches for developers, which have been investigated for decades. However, most studies have limitations in repairing complex bugs. To overcome these limitations, we developed an approach that augments datasets by utilizing token tagging and applying machine learning techniques for APR. First, to alleviate the data insufficiency problem, we augmented datasets by extracting all the methods (buggy and non-buggy methods) in the program source code and conducting token tagging on non-buggy methods. Second, we fed the preprocessed code into the model as an input for training. Finally, we evaluated the performance of the proposed approach by comparing it with the baselines. The results show that the proposed approach is efficient for augmenting datasets using token tagging and is promising for APR.