• Title/Summary/Keyword: interpretation technique

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Model Updating of an Electric Cabinet using Shaking Table Test

  • Cui, Jintao;Cho, Sung-Gook;Kim, Doo-Kie;Koo, Ki-Young;Cho, Yang-Hee
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2008.04a
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    • pp.59-62
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    • 2008
  • This paper presents the procedure and the results of modal identification testing of a seismic monitoring system central processing unit cabinet for a nuclear power plant. This paper also provides a model updating for making effective analytical modeling of cabinet-type electrical equipment by comparing the test results with the analysis results. From the test results and their interpretation, modal properties (modal frequency, mode shape, and modal damping) of the specimen were satisfactorily identified. However, the analysis results may need to study further to find the effective and presentative model for the cabinet-type electrical equipment. This paper just presents the first stage of the research project "Development of dynamic behavior analysis technique of dynamic structure system" which is trying to build the lumped mass beam stick model even their results do not agree well with the test results.

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Feature Based Map Building Method Using Sonar Data

  • Soo, Kang-Byung;Hwan, Lim-Jong
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.134.1-134
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    • 2001
  • The paper presents a sonar based map building method. The environment is a room or area inside a building, which is composed of four types of geometric primitives(corners, edges, cylinders, and walls). We also assume the environment can be modeled into two dimensional map in terms of planes(walls), points(corner and edge), and circle(cylinder). In a real world where most of the object surfaces are specular ones, a sonar sensor suffers from a multipath effect which results in a wrong interpretation of the location of an object. To reduce the effect and uncertainty, the method employs a simple thresholding technique for extracting circular arc features called regions of constant depth(RCD) from scanning sonar data. The usefulness of the approach is illustrated with the results produced by sets of experiments.

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IMAGE CLASSIFICATION OF HIGH RESOLTION MULTISPECTRAL IMAGERY VIA PANSHARPENING

  • Lee, Sang-Hoon
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.18-21
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    • 2008
  • Lee (2008) proposed the pansharpening method to reconstruct at the higher resolution the multispectral images which agree with the spectral values observed from the sensor of the lower resolution values. It outperformed over several current techniques for the statistical analysis with quantitative measures, and generated the imagery of good quality for visual interpretation. However, if a small object stretches over two adjacent pixels with different spectral characteristics at the lower resolution, the pixels of the object at the higher resolution may have different multispectral values according to their location even though they have a same intensity in the panchromatic image of higher resolution. To correct this problem, this study employed an iterative technique similar to the image restoration scheme of Point-Jacobian iterative MAP estimation. The effect of pansharpening on image segmentation/classification was assessed for various techniques. The method was applied to the IKONOS image acquired over the area around Anyang City of Korea.

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The Analysis of PD Signal using Neural Network (신경회로망을 이용한 부분방전 신호의 패턴분석)

  • 김종서;박용필;천민우
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.17 no.5
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    • pp.567-571
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    • 2004
  • Recently, GIS(Gas Insulated Switchgear) has been recognizing of importance on development of diagnosis technique which is happened problem on confidence for a long time use. Therefore, the measurement and analysis of PD with prior phenomenon of insulation breakdown is used many method of diagnosis for GIS. In this paper, we simulate trouble condition in DS and analysis trouble signal to use electrical and mechanical methods, interpretation of detected signal has analysed with to use ø-q-n pattern and neural network. For this analysis, we have used the induction and AE(acoustic emission) sensors. For the simulation experiment, we make DS for 170 KV GIS and analyze the classification and characteristics of detected signals with the application of neural network algorithm.

On Combining MOS and Histogram in a Subjective Evaluation Method

  • Sehyug Kwon
    • Communications for Statistical Applications and Methods
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    • v.2 no.2
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    • pp.176-183
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    • 1995
  • Mean opinion score (MOS) method has been used in many areas to quantify opinions of respondents not only in survey research but in evaluating the parameters of population that are not measurable of are technically hard to be measured. Histogram is an important graphical technique because of the role it plays in describing categorical data as well as quantitative. In MOS method, subjective opinions of respondents are quantified by opinion scores and the arithmetic means of opinion scores have been used to describe the interesting population. Since opinion scores are polytomous, the values of arithmetic means have little meanings. In this paper, cumulative percentage curves as a function of the means of opinion scores are derived by combining means of opinion scores and histograms. It is proposed for better interpretation to opinion scores in MOS method, one of subjective evaluation methods.

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A Study on the Determinants of Imbalanced Regional Development : An Application of Regression Model for a Bias due to Heterogeneity across Region (지역 불균형 발전의 결정요인 : 지역간 이질성 편의를 고려한 희귀모형의 적용)

  • 박범조;고석찬
    • Journal of the Korean Regional Science Association
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    • v.14 no.2
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    • pp.35-50
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    • 1998
  • This paper examines the determinants of imbalanced regional development in Korea during the period of 1985-1995. The review of previous analytical techniques have been used to analyze the determinants of disparities in regional development of disparities in regional development, but few has applied the regression technique which reduces a bias due to heterogeneity across region. The results of the study show that Kmenta model with per capita GRDP as dependent variable can reduce the heterogeneity bias in regional development and can minimize the statical errors in estimation and interpretation of the coefficients of the explanatory variables. According to the results of Kmenta model, urban infrastructure such as roads, information and communication facilities are major causes of regional disparity over the period of 1985-1995. The results of the study also indicate that local government should devote their policy efforts to identify and utilize the unique soci-economic characteristics of each locality in the process of regional development.

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Evaluation of the Combat Aircraft Susceptibility Against Surface-Based Threat Using the Weighted Score Algorithm

  • Kim, Joo-Young;Kim, Jin-Young;Lee, Kyung-Tae
    • International Journal of Aeronautical and Space Sciences
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    • v.12 no.4
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    • pp.396-402
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    • 2011
  • Aircraft combat survivability is an essential factor in the design of combat aircrafts that operate in an enemy air defense area. The combat aircrafts will be confronted with anti-aircraft artillery and/or surface-to-air missiles (SAM) from the ground, and their survivability can be divided into two categories: susceptibility and vulnerability. This article studies the prediction of susceptibility in the case of a one-on-one engagement between the combat aircraft and a surface-based threat. The weighted score method is suggested for the prediction of susceptibility parameters, and Monte Carlo simulations are carried out to draw qualitative interpretation of the susceptibility characteristics of combat aircraft systems, such as the F-16 C/D, and the hypersonic aircraft, which is under development in the United States, versus ground threat from the SAM SA-10.

3-Dimensional Subsurface Imaging Using Geostatistics (공간통계학을 이용한 3차원 지하영상화)

  • Shon, Ho-Woong;Lee, Kang-Won;Park, Eun-Ho
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2009.04a
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    • pp.151-156
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    • 2009
  • Forward modelling of ground penetrating radar (GPR) data is implemented using a new finite element ray tracing technique. The method is different from conventional ray tracing techniques in that the radar cross section of buried targets, the effective area of the receiving antenna, and the attenuation along the raypath are computed. The forward models are used to understand radar signatures measured across various ground structures which are important in detecting engineering hazards at construction sites, void spaces beneath simulated road beds, as well as a learning tool to avoid pitfalls in radargram interpretation. Forward modelling of radar data also can be used in predicting possible structures present at cultural property sites.

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Cytopathology of Urinary Tract Neoplasms (요로 종양의 세포병리)

  • Hong, Eun-Kyung
    • The Korean Journal of Cytopathology
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    • v.17 no.1
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    • pp.1-17
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    • 2006
  • Urine cytology is the most useful technique for detecting either primary or recurrent neoplasms in the urinary tract. Although urine cytology is the traditional method of detecting these neoplasms, its diagnostic accuracy has been underevaluated because of low sensitivity. The cytologic interpretation of urinary samples is not an easy task, even with some expertise in this area, for many reasons. In low-grade urothelial carcinoma, no reliable or reproducible diagnostic cytologic criteria can be provided because of the lack of obvious cytologic features of malignancy, which is one of the main factors lowering its diagnostic accuracy. Many diagnostic markers have been developed recently to enhance its diagnostic yield, but the results have not been satisfactory. However, urine cytology plays a role in detecting high-grade urothelial carcinoma or its precursor lesions. It still shows higher specificity than any of the newly developed urine markers. Understanding the nature of urine samples and the nature of neoplasms of the urinary tract, recognizing their cytologic features fully, and using cytologic findings under appropriate conditions in conjunction with a detailed clinical history would make urine cytology a very valuable diagnostic tool.

Diagnostic Laryngeal Electromyography (진단적 후두근전도)

  • Chung, Sung-Min
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.19 no.2
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    • pp.107-112
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    • 2008
  • Diagnostic laryngeal electromyography (LEMG) relatively evaluates the electrophysiologic status of the larynx and provides critical clinical informations that no other tests can provide. However, LEMG is still not widely applied as a routine tool in clinical practice. One reason for this is the technical and interpretative difficulties of LEMG. But if LEMG is performed by a team approach consisting of an otolaryngologist and a neurologist, the technique and the interpretation of LEMG are not difficult to master. Another reason is that there is still not exact standard guideline for clinical application of LEMG. LEMG is an essential diagnostic test in evaluating patients with neuromuscular disorders, particulary vocal fold immobility, reduced mobility of vocal fold. The more we have used LEMG, the more we have found it useful in the evaluation and treatment of voice disorders, and the role of LEMG will be extended.

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