• 제목/요약/키워드: processing methods

검색결과 7,319건 처리시간 0.031초

Efficient Implementation of CG and CR Methods for Linear Systems on a Single Processing Node of the HITACHI SR8000

  • Nishimura, S.;Takahashi, D.;Shigehara, T.;Mizoguchi, H.;Mishima, T.
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.298-301
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    • 2000
  • We discuss the iterative methods for linear systems on a single processing node of the HITACHI SR8000. Each processing node of the SR8000 is a shared memory parallel computer which is composed of eight RISC processors with a pseudo-vector facility. We implement highly optimized codes for basic linear operations including a matrix-vector product and apply them to the conjugate gradient (CG) and the conjugate residual (CR) methods for linear systems. Our tuned codes for both method score nearly 50% of the theoretical peak performance, which is the best in the sense that it corresponds to an asymptotic performance of the inner product.

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A Method for Caption Segmentation using Minimum Spanning Tree

  • Chun, Byung-Tae;Kim, Kyuheon;Lee, Jae-Yeon
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.906-909
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    • 2000
  • Conventional caption extraction methods use the difference between frames or color segmentation methods from the whole image. Because these methods depend heavily on heuristics, we should have a priori knowledge of the captions to be extracted. Also they are difficult to implement. In this paper, we propose a method that uses little heuristics and simplified algorithm. We use topographical features of characters to extract the character points and use KMST(Kruskal minimum spanning tree) to extract the candidate regions for captions. Character regions are determined by testing several conditions and verifying those candidate regions. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 98.2%. And then we can see the results that caption area in complex images is well extracted.

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Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality

  • Malhotra, Ruchika;Jain, Ankita
    • Journal of Information Processing Systems
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    • 제8권2호
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    • pp.241-262
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    • 2012
  • An understanding of quality attributes is relevant for the software organization to deliver high software reliability. An empirical assessment of metrics to predict the quality attributes is essential in order to gain insight about the quality of software in the early phases of software development and to ensure corrective actions. In this paper, we predict a model to estimate fault proneness using Object Oriented CK metrics and QMOOD metrics. We apply one statistical method and six machine learning methods to predict the models. The proposed models are validated using dataset collected from Open Source software. The results are analyzed using Area Under the Curve (AUC) obtained from Receiver Operating Characteristics (ROC) analysis. The results show that the model predicted using the random forest and bagging methods outperformed all the other models. Hence, based on these results it is reasonable to claim that quality models have a significant relevance with Object Oriented metrics and that machine learning methods have a comparable performance with statistical methods.

전자현미경내 마이크로 절삭의 화상처리에 의한 절삭 기구 해석 (Analysis of Cutting Mechanism by Image Processing on Micro-Cutting in SEM)

  • 허성중
    • 한국공작기계학회논문집
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    • 제12권3호
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    • pp.89-95
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    • 2003
  • This research analyzes the cutting mechanism of A1100-H18 of commercially pure aluminum by image processing in SEM(Scanning Electron Microscope) for the measurement of strain rate distribution near a cutting edge in orthogonal micro-cutting. The distribution is measured using various methods in order. The methods are in-situ observations of cutting process in SEM, inputting image data, a computer image processing, calculating displacements by SSDA(Sequential Similarity Detection Algorithm) and calculating strain rates by FEM. The min results obtained are as follows: (1)It enables to measure a microscopic displacement near a cutting edge. (2) An application of this system to cutting process of various materials will help to make cutting mechanism clear.

Unsupervised Segmentation of Images Based on Shuffled Frog-Leaping Algorithm

  • Tehami, Amel;Fizazi, Hadria
    • Journal of Information Processing Systems
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    • 제13권2호
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    • pp.370-384
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    • 2017
  • The image segmentation is the most important operation in an image processing system. It is located at the joint between the processing and analysis of the images. Unsupervised segmentation aims to automatically separate the image into natural clusters. However, because of its complexity several methods have been proposed, specifically methods of optimization. In our work we are interested to the technique SFLA (Shuffled Frog-Leaping Algorithm). It's a memetic meta-heuristic algorithm that is based on frog populations in nature searching for food. This paper proposes a new approach of unsupervised image segmentation based on SFLA method. It is implemented and applied to different types of images. To validate the performances of our approach, we performed experiments which were compared to the method of K-means.

화력발전소 경보처리 시스템에 관한 연구 (A Study on the Alarm Processing System for Fossil Power Plant)

  • 신승철;박세화;이재혁
    • 전자공학회논문지B
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    • 제32B권8호
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    • pp.1045-1056
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    • 1995
  • The purpose of multiple alarm processing is to give the operator the correct information and perception of the malfunction present in the plant. In this thesis, an APS(Alarm Processing System) is studied for fossil power plants. This APS is based on a cause-consequence trees in the knowledge representation aspect for alarm and plant and adapts alarm filtering methods using fired time information in the decision aspect. Through the cause-consequence trees and filtering methods, the Alarm Processing System finds the cause alarm among the fired multiple alarms and calculates the cause degree which represents the possibility of a fault occurring in the instruments of the plant with the information of fired alarm. The knowledge base is built via interviews and questionaries with the expert operators on the Seoul power plant unit 4. Finally, the validity of the studied APS is shown via simulations.

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자연동(自然銅)의 수치법(修治法)에 대한 문헌적(文獻的) 고찰(考察) (The bibliographical study on drug-processing about Pyritum)

  • 민평기;서영배
    • 혜화의학회지
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    • 제10권1호
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    • pp.47-53
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    • 2001
  • In the result of investigating traditional chinese medical literatures to understand drug-processing about Pyritum, we could reach conclusions as follows: 1. Pyritum are divided into fresh Pyritum, calcining Pyritum, tempered Pyritum with vinegar by methods of drug-processing. 2. The methods of drug-procession about Pyritum like calcination, quenching, refining drugs with water or medicinal broth of Glycyrrhizae Radix(licorice), boiling with medicinal broth of Glycyrrhizae Radix(licorice) were used complicately. 3. Calcining Pyritum are grinded easily, convenient to apply a pill and powder and As, S are easily removed. Quenching Pyritum act on liver channel and then are reinforced the effects of relieving blood stasis, Pain and gushed out effecive ingredients. Refining Pyritum with water are reinforced the effect of tranquilizing the mind and clearing heat. above results indicates that using calcination, quenching and refining drugs with water together is the best method of drug-processing about Pyritum.

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Implementation of Effective Automatic Foreground Motion Detection Using Color Information

  • Kim, Hyung-Hoon;Cho, Jeong-Ran
    • 한국컴퓨터정보학회논문지
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    • 제22권6호
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    • pp.131-140
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    • 2017
  • As video equipments such as CCTV are used for various purposes in fields of society, digital video data processing technology such as automatic motion detection is essential. In this paper, we proposed and implemented a more stable and accurate motion detection system based on background subtraction technique. We could improve the accuracy and stability of motion detection over existing methods by efficiently processing color information of digital image data. We divided the procedure of color information processing into each components of color information : brightness component, color component of color information and merge them. We can process each component's characteristics with maximum consideration. Our color information processing provides more efficient color information in motion detection than the existing methods. We improved the success rate of motion detection by our background update process that analyzed the characteristics of the moving background in the natural environment and reflected it to the background image.

A Study on Two-Dimensional Variational Mode Decomposition Applied to Electrical Resistivity Tomography

  • Sanchez, Felipe Alberto Solano;Khambampati, Anil Kumar;Kim, Kyung Youn
    • 전기전자학회논문지
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    • 제26권3호
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    • pp.475-482
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    • 2022
  • Signal pre-processing and post-processing are some areas of study around electrical resistance tomography due to the low spatial resolution of pixel-based reconstructed images. In addition, methods that improve integrity and noise reduction are candidates for application in ERT. Lately, formulations of image processing methods provide new implementations and studies to improve the response against noise. For example, compact variational mode decomposition has recently shown good performance in image decomposition and segmentation. The results from this first approach of C-VMD to ERT show an improvement due to image segmentation, providing filtering of noise in the background and location of the target.

의치상용 레진의 전입 방법에 따른 중합체적변화와 굴곡강도에 관한 연구 (DIMENSIONAL CHANGE AND FLEXURAL STRENGTH IN COMPLETE DENTURES FABRICATED BY INJECTION MOLDING AND CONVENTIONAL COMPRESSION PROCESSING)

  • 최훈달;권긍록;김형섭;최대균
    • 대한치과보철학회지
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    • 제43권4호
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    • pp.478-486
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    • 2005
  • Statement of problem : Fracture and dimensional change of an acrylic resin denture are a rather common occurrence. Purpose : The purpose of this study was to compare differences in dimensional changes and flexural strength of separate maxillary complete dentures after immediate deflasking by injection molding and conventional compression processing. Material and method: To evaluate dimensional stability, the maxillary dentures were fabricated by using different materials and methods. Lucitone 199(Dentsply Trubyte. york, pennsylvania, USA) and Vertex(Dentimex, zeist, Netherlands) were used as materials. Compression and injection packing methods were used as processing methods. The impression surface of the dentures was measured by 3D Scann-ing System(PERCEPTRON USA) and overlapped original impression surface of the master cast. To evaluate flexural strength, resin specimens were made according to the different materials, powder/liquid ratio and processing methods. Flexural strength of the complete resin specimens (64mm$\times$10mm$\times$3.3mm) were measured by INSTRON 4467. (INSTRON, England) The data was analyzed by ANOVA, t-test and Tukey test. (p<.05 level of significance) Result: The results were as follows 1. There was no significant differences between master model and denture base for each group in overall dimensional changes. 2. Palatal area was more stable than flange or alveolar area in dimensional stability. but. there was no significant differences among each area. 3. Materials and power/liquid ratio had an effect on flexural strength. (P<.05) Especially materials was most effective. (P<.05) 4. Lucitone 199(powder/liquid ratio followed by manufacturer's direction) showed higher flexural strength than Vertex. Conclusion : Dimensional stability or flexural strength are affected by materials rather than packing techniques.