• 제목/요약/키워드: Extracting characteristics

검색결과 581건 처리시간 0.022초

재해예방을 위한 사업장 불안전 요인의 유형 예측 (Prediction of Unsafe Factors for Industrial Accident Prevention)

  • 임현교;장성록;김주홍
    • 한국안전학회지
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    • 제9권2호
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    • pp.26-32
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    • 1994
  • It is quite similar in the current automated works likewise in the past manual works that single trivial human error and/or unsafe acts may lead to serious industrial accidents. Though the traditional approach for accident prevention focused on the serious injuries or losses, that was misleaded by failure of accident perception. As Heinrich pointed out, there are still enormous numbers of unsafe acts or near-misses before a real accident happen. Thus, for industrial accident prevention, a research on unsafe acts was committed. With accident data occurred during the last decade, statistics were analyzed for extracting behavioral characteristics. After that, a practical method Integrating AHP and statistics which shows possible accident factors and their priority at an individual factory was suggested. A computer program was developed also.

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위상수학적 데이터 분석법을 이용한 수학학습 불안 분석 사례 (Mathematics Anxiety Analysis using Topological Data Analysis)

  • 고호경;박선정
    • East Asian mathematical journal
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    • 제34권2호
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    • pp.177-189
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    • 2018
  • Recently, Topological Data Analysis (TDA) has attracted attention among various techniques for analyzing big data. Mapper algorithm, which is one of TDA techniques, is used to visualize the cluster diagram. In this study, students were clustered according to the characteristics and degree of mathematics anxiety using a mapper, and students were visualized according to mathematics anxiety. In order to do this, Mathematical Anxiety Scale (Ko & Yi, 2011) in the aspect of mathematical instability in terms of teaching - learning, ie, Nature of Mathematics, Learning Strategy, Test/Performance is used. And the number of questions that measure the anxiety of mathematics can be extracted by extracting the most relevant items among the items that measure the anxiety of mathematics.

Maximum Power Point Tracking for Photovoltaic System Using Fuzzy Logic Controller

  • Abo-Khalil A.G.;Lee D.C.;Seok J.K.;Choi J.W.;Kim H.K.
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2003년도 춘계전력전자학술대회 논문집(2)
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    • pp.503-506
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    • 2003
  • The photovoltaic generators have a nonlinear V-I characteristics and maximum power points which vary with the illumination levels and temperatures. Using maximum power point tracker with the intermediate converter can increase the system efficiency by matching the PV systems to the load. A novel MPPT control for photovoltaic system is proposed. The system input parameters are (dP, dI, and last incremental of duty ratio $L\deltaD$)and the output is the new incremental value (new ${\deltaD}$) according to the maximum power point under various illumination levels. Using fuzzy logic controller allows extracting the maximum power rapidly and without significant oscillations. Also FLC provides excellent features such as fast response, good performance and the ability to change the fuzzy parameters to improve control system.

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A Low Frequency Band Watermarking with Weighted Correction in the Combined Cosine and Wavelet Transform Domain

  • Deb, Kaushik;Al-Seraj, Md. Sajib;Chong, Ui-Pil
    • 융합신호처리학회논문지
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    • 제14권1호
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    • pp.13-20
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    • 2013
  • A combined DWT and DCT based watermarking technique of low frequency watermarking with weighted correction is proposed. The DWT has excellent spatial localization, frequency spread and multi-resolution characteristics, which are similar to the theoretical models of the human visual system (HVS). The DCT based watermarking techniques offer compression while DWT based watermarking techniques offer scalability. These desirable properties are used in this combined watermarking technique. In the proposed method watermark bits are embedded in the low frequency band of each DCT block of selected DWT sub-band. The weighted correction is also used to improve the imperceptibility. The extracting procedure reverses the embedding operations without the reference of the original image. Compared with the similar approach by DCT based approach and DWT based approach, the experimental results show that the proposed algorithm apparently preserves superiori mage quality and robustness under various attacks such as JPEG compression, cropping, sharping, contrast adjustments and so on.

말초 청각 계통 모델을 이용한 한국어 모음 인식 (Korean Vowel Recognition using Peripheral Auditory Model)

  • 윤태성;백승화;박상희
    • 대한의용생체공학회:의공학회지
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    • 제9권1호
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    • pp.1-10
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    • 1988
  • In this study, the recognition experiments for Korean vowel are performed using peripheral auditory model. In addition, for the purpose of objective comparison, the recognition experiments are performed by extracting LPC cepstrum coefficients for the same speech data. The results are as follows. 1) The time and the frequency responses of the auditory model show that important features of input signal are involved in the responses of inner ear and auditory nerve. 2) The recognition results for Korean vowel show that the recognition rate by auditory model output is higher than the recognition rate by LPC cepstrum coefficients. 3) The adaptation phenomenon of auditory nerve provides useful characteristics for the discrimination of vowel signal.

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한국어 대화체 TTS 개발을 위한 발음 및 운율 추정 (Grapheme-to-Phoneme Conversion and Prosody Modeling for Korean Conversational Style TTS)

  • 이진식;김승원;김병창;이근배
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2006년도 추계학술대회 발표논문집
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    • pp.135-138
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    • 2006
  • In this paper, we introduce a method for extracting grapheme-to-phoneme conversion rules from the transcription of speech synthesis database and a prosody modeling method using the light version of ToBI for a Korean conversational style TTS. We focused on representing the characteristics of the conversational speech style and the experimental results show that our proposed methods are suitable for developing a Korean conversional style TTS.

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A Method for Text Information Separation from Floorplan Using SIFT Descriptor

  • Shin, Yong-Hee;Kim, Jung Ok;Yu, Kiyun
    • 대한원격탐사학회지
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    • 제34권4호
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    • pp.693-702
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    • 2018
  • With the development of data analysis methods and data processing capabilities, semantic analysis of floorplans has been actively studied. Therefore, studies for extracting text information from drawings have been conducted for semantic analysis. However, existing research that separates rasterized text from floorplan has the problem of loss of text information, because when graphic and text components overlap, text information cannot be extracted. To solve this problem, this study defines the morphological characteristics of the text in the floorplan, and classifies the class of the corresponding region by applying the class of the SIFT key points through the SVM models. The algorithm developed in this study separated text components with a recall of 94.3% in five sample drawings.

카메라 기반 야간 차선 인식율 개선을 위한 영상처리 알고리즘에 대한 연구 (A Study on Image Processing Algorithms for Improving Lane Detectability at Night Based on Camera)

  • 김흥룡;이선봉
    • 한국자동차공학회논문집
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    • 제21권1호
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    • pp.51-60
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    • 2013
  • In this paper, to control the existing headlamp control system using steering wheel angle more efficiently and more actively, image processing algorithm which improved the detection rate of lane at night based on camera was suggested. And to recognize road lane more clearly in the conditions of low illumination, new algorithms were developed in the aspects of improving brightness, extracting clear lane edge and using the characteristics of lane. Through this research, it turned out that lane detection ability by using the normalized stretching, angular mask and expected-area scan have good performance in the night compare to existing algorithms.

효율적인 CMM을 위한 조명 조건 개선에 관한 연구 (A Study on Optimum Lighting Conditions for Effective Coordnate Measuring Machine)

  • 배준영;반갑수
    • 한국산업융합학회 논문집
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    • 제17권3호
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    • pp.184-193
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    • 2014
  • Machine vision systems is applied for various industries such as optimize your spending, automate your production and maximize your efficiency. This research is effective for most optimal light condition of machine vision that technology was applied bald outside human visual acuity. Image processing converts a target image captured by a CCD camera into a digital signal and then performs various arithmetic operations on the signal to extract the characteristics of the target, such as points, lines, circles, area and length. The mathematical concepts of convolution and the kernel matrix are used to apply filters to signals, to perform functions such as extracting edges and reducing unwanted noise. This research analyze and compares matching ratio with reference image and search for optimal lighting condition in accuracy that user wants coming input image according to brightness change of lighting.

네트워크 가전의 통합 인터페이스 구축을 위한 조작방법의 특성 추출 (Extracting the Operation Characteristics for Integrated Interface Construction of the Network Electronics)

  • 홍상희;김현주
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2008년도 추계학술대회
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    • pp.102-105
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    • 2008
  • 본 연구는 근미래에 실현 가능할 것이라고 판단되는 홈 오토메이션 시대에 대비하여, 유저의 사용편의성 향상과 메이커 입장에서의 디자인전략 수립을 위한 홈 네트워크 정보가전의 통합형 유저 인터페이스 구축을 목표로, 대표 메이커의 홈 네트워크에 대한 현황파악과 분석을 실시하였다. 그 결과, '스테이션 의존형 시스템 구축', '조작성의 향상', '기기 간의 친화성 향상'의 필요성 규명과 함께, 네트워크 가전의 인터페이스 구축의 개념 모델의 필요성을 도출하였다. 나아가, 유저 인터페이스의 통합화가 가능한 기종의 선별과 네트워크 가전으로서의 조작방법상 특징을 추출하기 위하여, 총 34개 제품에 대한 38가지의 물리적 특성에 대한 분석을 실시, 가전제품은 크게 4가지의 조작방법에 따른 총 7개의 그룹으로 분류할 수 있었다. 그 중 Full Control과 Remote Control, Non Control, Simple Control, Direct Control의 5개 그룹에 속하는 정보가전제품들이 홈 네트워크 가전에 적합하며, 공통되는 인터페이스를 구축하는 것이 가능하다는 것을 알았다. 또한 그 제품군들의 통합형 인터페이스 구축을 위한 공통조작 요소로 Direct Control과 Simple Control, Non Control이 적합하다는 점도 규명했다.

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