• Title/Summary/Keyword: Korean wave recognition

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A Study on Skull & panorama Image recognition of feature exctraction using the Wavele Transform (웨이브렛 변환을 이용한 Skull & Panorama 영상 인식과 특징 추출에 관한 연구)

  • 문일남;김장형
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.113-117
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    • 2003
  • In this paper, have necessity of PACS (Picture Archiving and Communication System) at hospital but hereafter by economical problem PACS apply this to medical treatment image enhancing image quality applying histogram equalization for improvement of light and darkness after reconstruct because make image that pretreatment filtering has wild picture and is processed in wave lets dissolution and wave lets area using weight median filter because could not buy expensive equipment at hospital which introduction is difficulty do inversion and extracted characteristic.

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Two Terminals Numerical Algorithm for Distance Protection, Fault Location and Acing Faults Recognition Based on Synchronized Phasors

  • Lee Chan-Joo;Park Jong-Bae;Shin Joong-Rin;Radojevic Zoran
    • Journal of Electrical Engineering and Technology
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    • v.1 no.1
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    • pp.35-41
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    • 2006
  • This paper presents a new numerical algorithm for fault location estimation and for faults recognition based on the synchronized phasors. The proposed algorithm is based on the synchronized phasor measured from the synchronized PMUs installed at two-terminals of the transmission lines. In order to discriminate the fault type, the arc voltage wave shape is modeled numerically on the basis of a great number of arc voltage records obtained by transient recorder. From the calculated arc voltage amplitude it can make a decision whether the fault is permanent or transient. The results of the proposed algorithm testing through computer simulation are given.

Off-axis pSDF Spatial Matched Filter for Pattern Classification (패턴분류를 위한 Off-axis pSDF 공간정합필터)

  • 임종태;박한규;김명수;김성일
    • Korean Journal of Optics and Photonics
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    • v.2 no.2
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    • pp.83-88
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    • 1991
  • Studies on space-invariant pattern recognition have been carried out from various approaches. Pattern recognition system using SDF filter, from weighted linear summation of tranining images, has been the focus of research since its first appearence. In this thesis, off-axis pSDF spatial matched filter has been constructed by combining angular multiplexing of off-axis reference plane wave with pSDF filter made from pseudo-inverse algorithm, and transformed to phase only filter. From observation of the correlation responses in the correlation plane, it is shown that proposed off-axis pSDF spatial matched filter is available to pattern classification and can be used for optical correlator.

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Construction fo chaos simulator for ultrasonic pattern recognition evaluation of weld zone in austenitic stainless steel 304 (오스테나이트계 스테인리스강 304 용접부의 초음파 형상 인식 평가를 위한 카오스 시뮬레이터의 구축)

  • Yi, Won;Yun, In-Sik;Chang, Young-Kwon
    • Journal of Welding and Joining
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    • v.16 no.5
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    • pp.108-118
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    • 1998
  • This study proposes th analysis and evaluation method of time series ultrasonic signal using the chaos feature extraction for ultrasonic pattern recognition. Features extracted from time series data using the chaos time series signal analyze quantitatively weld defects. For this purpose, analysis objective in this study is fractal dimension and Lyapunov exponent. Trajectory changes in the strange attractor indicated that even same type of defects carried substantial difference in chaosity resulting from distance shifts such as 0.5 and 1.0 skip distance. Such differences in chaosity enables the evaluation of unique features of defects in the weld zone. In quantitative chaos feature extraction, feature values of 4.511 and 0.091 in the case of side hole and 4.539 and 0.115 in the case of vertical hole were proposed on the basis of fractal dimension and Lyapunov exponent. Proposed chaos feature extraction in this study can enhances ultrasonic pattern recognition results from defect signals of weld zone such as side hole and vertical hole.

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Visual Recognition Delayed in Time by Electromagnetic Wave (전자파에 의해 시간 지연되는 시각인식)

  • Yun, Jae-Hyun;Park, Hyung-Jun
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.2947-2949
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    • 2005
  • 본 연구의 목적은 전자파에 노출되었을 경우와 노출되지 않았을 경우의 시각 자극(광자극)에 의해 발생하는 뇌파를 분석하여, 전자파가 광자극 전과 광자극 후의 시각인식에 미치는 영향을 규명하는 것이다. 암순응 시킨 피험자에게 신호의 주파수가 약 900MHz이고, 세기가 약 13dBm인 전자파에 노출되었을 경우와 노출되지 않았을 경우로 구분하여, 광인식시에 발생하는 뇌파를 계측, 분석하였다. 본 연구에서 제안한 해석방법을 이용하여 뇌파를 분석한 결과, 인체가 전자파에 노출되었을 때 시각인식에 기인하여 나타나는 뇌파 변화의 현상 중 $\alpha$-blocking 시점이 지연되는 것을 확인하였다.

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A Study on the Relationship between the Korean Wave, Preference and Recognition of Korean Cuisine among Chinese (중국 내 한류, 한국음식 인지 및 한국음식 선호도에 관한 연구)

  • Jeon, Do Hyun
    • Journal of the Korean Society of Food Culture
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    • v.34 no.3
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    • pp.268-276
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    • 2019
  • This study separated different factors into the Korean Wave and Korean health food according to the interest in Korean culture among the Chinese living in China. We then conducted a two-step cluster analysis with gender, marriage status, academic background, interest in Korean culture, command of the Korean language and the status of having visited Korea as variables. The subjects were split into a Korean wave-preferring group, highly interested in Korean food as health food group and a low interested group according to clusters, and we then investigated for preference differences for 20 Korean food dishes. Between these two groups the statistics indicated a significant influence with a level p<0.001 for Bulgogi, Bibimbap, Kimchi, Galbi-tang, Galbi-gui, Chicken, Samgyepsal, Doenjang-Jjgae, Dak-galbi, Japchae and Gimbap p<0.01 for Samgye-tang and p<0.05 for Naengmyeon, Kimchi-Jjigae, Dak-galbi, Seolleongtang, Haemul-tang, Hanjeongsik and Tteok-bokki. Jeon and Juk did not show any statistically significant difference. Chinese consumers preferred Korean food for Samgyeopsal, Bulgogi and chicken and less preferred gruel, Hanjeongsik and Kimchi-Jjigae. The highly interested in Korean culture group preferred Samgyeopal, Bulgogi and Chicken, and less preferred Juk, Jeon and Hanjeonsik in that order. This study offers information on the Chinese's preference for different Korean food to any food service enterprises that manage Korean restaurants in China or that sell Korean cuisine and also basic data for differentiated marketing to those entering the Chinese market.

Factors of Successful Aging and the Effect on Life Satisfaction by the Recognition of Old Age (노후연령인식 여부에 따른 성공적 노화 구성요소 차이 및 삶의 만족도에 미치는 영향)

  • Kim, Mee Ryoung
    • Korean Journal of Social Welfare
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    • v.65 no.1
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    • pp.227-245
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    • 2013
  • This study used the third wave of individual data of KReIs(Korean Retirement and Income Study) because the third wave of data only had the necessary variables which fit into this study. The data was collected in 2010 using national random sampling. The target population was adults who are older than 65 and the sample size of this study was 4,080. The factors of successful aging were compared by the recognition of old age (group (1): people who recognize they are not older adults(n=620); group (2): people who recognize they are older adults(n=3,460)). For comparison of each variable by the recognition of old age, t-test, chi-square test and ANCOVA were used depending on the types of variables. To test the effect on the life satisfaction of the factors of successful aging, hierarchical regressions were used for each group. 1) Except for the number of leisure activities, older adults who recognized they were not old(group (1)) had a higher level of factors composing of successful aging than older adults who recognized they were old(group (2)). 2) For group (1), age did not affect their life satisfaction in a statistically significant level, but for group (2) age negatively affected their life satisfaction. 3) The results indicated that cognitive and physical functioning were more important than avoiding disease and disability. 4) For group (2), IADL affected life satisfaction positively in a statistically significant level, but for group (1), IADL did not affect life satisfaction. 5) For group(2), whether they had a job or not affected the life satisfaction differently.

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A Study on the Effect of Medical Esthetic Tourism and Halleu Consciousness on Tourism Image, Korean Food Consciousness, Tourist Satisfaction and Behavioral Intention (메디컬 에스테틱 관광과 한류 인식이 관광 이미지, 한국음식 인식, 관광 만족, 행동 의도의 영향 관계 - 방한 중국인.일본인 관광객을 대상으로 -)

  • Oh, Young-Sub
    • Culinary science and hospitality research
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    • v.16 no.5
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    • pp.193-207
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    • 2010
  • This paper examined the impact of medical esthetic tourism and the recognition of Halleu consciousness (Korean wave) on tourism image, Korean food consciousness, tourist satisfaction and tourist behaviour intention to achieve the aimed purpose of the paper, pre-tested questionnaire that distributed by pre-arranged MA students to deluxe hotels and plastic surgery hospitals was questioned and filled up by Japanese and Chinese tourists who visited Korea for a medical-related purpose. For sampling technique and size, random sampling was used and 211 copies of the questionnaire were collected. Linear regression through PASW 18.0 as a main statistical analysing method was used to examine the hypothesis and the result showed that medical esthetic tourism and recognition of Halleu had positive effects on tourism image, Korean food consciousness, tourist satisfaction and tourist behavioral intention(p<0.001). In particular, the result revealed that esthetic tourism and the recognition of Halleu as the main key factors had strong effects on Korean food consciousness even though there were a number of variety components in tourism. Therefore, to make inbound medical esthetic tourism and the recognition of Halleu more stable and sustainable and make Korean food world-wide recognized, more strategic policies for a specific tourism market are required.

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Pipeline Structural Damage Detection Using Self-Sensing Technology and PNN-Based Pattern Recognition (자율 감지 및 확률론적 신경망 기반 패턴 인식을 이용한 배관 구조물 손상 진단 기법)

  • Lee, Chang-Gil;Park, Woong-Ki;Park, Seung-Hee
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.4
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    • pp.351-359
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    • 2011
  • In a structure, damage can occur at several scales from micro-cracking to corrosion or loose bolts. This makes the identification of damage difficult with one mode of sensing. Hence, a multi-mode actuated sensing system is proposed based on a self-sensing circuit using a piezoelectric sensor. In the self sensing-based multi-mode actuated sensing, one mode provides a wide frequency-band structural response from the self-sensed impedance measurement and the other mode provides a specific frequency-induced structural wavelet response from the self-sensed guided wave measurement. In this study, an experimental study on the pipeline system is carried out to verify the effectiveness and the robustness of the proposed structural health monitoring approach. Different types of structural damage are artificially inflicted on the pipeline system. To classify the multiple types of structural damage, a supervised learning-based statistical pattern recognition is implemented by composing a two-dimensional space using the damage indices extracted from the impedance and guided wave features. For more systematic damage classification, several control parameters to determine an optimal decision boundary for the supervised learning-based pattern recognition are optimized. Finally, further research issues will be discussed for real-world implementation of the proposed approach.

A Study on the Pattern Recognition based Distance Protective Relaying Scheme in Power System (전력계통의 패턴인식형 거리계전기법에 관한 연구)

  • 이복구;윤석무;박철원;신명철
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.2
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    • pp.9-20
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    • 1998
  • In this paper, a new distance relaying scheme is proposed. Artificial neural networks are applied to the distance relaying system composed of pattern recognition based. The proposed distance relaying scheme has two blocks of pattern recognition stages to estimate the fundamental frequency and to classify the fault types. In the first block, a filtering method using neural networks called a neural networks mapping filter(NMF) is presented to efficiently extract the features. And in the sec'ond block, the estimator called neural networks fault pattern estimator(NFPE) is also presented to classify the fault types by the extracted effective features obtained from NMF. Each block of these applied schemes is trained by back-propagation algorithm of multilayer perceptron and show the fast and accurate pattern recognition by ability of multilayer neural networks. The test result of this approach are obtained the good performance from the fault transient wave signals of EMTP(e1ectromagnetic transients program) in the various fault conditions of power systems.

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