• 제목/요약/키워드: Condition recognition

검색결과 811건 처리시간 0.024초

노인인구의 구강건강 및 치석제거 인식도 조사 (Recognition towards oral health care and plaque removal in the elderly people)

  • 곽정숙;우승희;이재라
    • 한국치위생학회지
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    • 제15권4호
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    • pp.727-733
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    • 2015
  • Objectives: The purpose of the study is to investigate the awareness toward oral health and plaque removal in the elderly people in Korea. Methods: An interview method was carried out to 308 elderly people from a senior welfare facility in Mokpo, Jeonnam from May 1 to December 30, 2011 after receiving informed consents. Except 4 incomplete answers, data were analyzed using SPSS 18.0 program. The questionnaire consisted of demographical characteristics of the subjects, experience of plaque removal, recognition towards plaque removal, and correlation to systemic diseases. Results: Most of the elderly people experiences plaque removal(63.4%) and 55.9% had revisit intention. Those having plaque removal accounted for 47.8% and they had good subjective oral health recognition. Those not having plaque removal accounted for 61.8% and 61.8% having average systemic health condition and 53.3% having poor oral health recognition. The plaque removal was closely related to subjective oral health recognition. Conclusions: It is necessary to develop the preventive oral health program for the elderly people. The plaque removal in the elderly people is the most important services to prevent the systemic diseases including hypertension, arthritis, diabetes, nervous disease, and gastrointestinal diseases.

중재판정의 승인.집행을 위하여 제출할 서류 (Documents to Produce for the Recognition and Enforcement of Arbitral Awards)

  • 이호원
    • 한국중재학회지:중재연구
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    • 제23권2호
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    • pp.141-164
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    • 2013
  • The current Korean Arbitration Act (KAA) ${\S}37(2)$ requires that a formal copy of an arbitral award or a duly certified copy thereof and the original arbitration agreement or a duly certified copy thereof be produced for the recognition and enforcement of a arbitral award. But as the KAA provides that the recognition and enforcement of a foreign arbitral award to which the New York Convention applies shall be granted in accordance with the Convention, the duly authenticated original award should be produced instead of a formal copy in that case. The provision on the documents to produce for the recognition and enforcement of an arbitral award is set to establish a reasonable and transparent standard and to facilitate the recognition and enforcement of awards by prohibiting parochial refusal of the recognition and enforcement on the grounds of formalities. Therefore it is necessary to simplify those documents according to the internationally acknowledged standard. It would be desirable to amend KAA ${\S}37(2)$ to require only "the original arbitral award or a copy thereof" without authentication or certification and a translation into Korean without any condition, adopting the 2006 amendment to the UNCITRAL Model Law on International Commercial Arbitration.

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IMM 기반 특징 보상 기법과 불확실성 디코딩의 결합 (Incorporation of IMM-based Feature Compensation and Uncertainty Decoding)

  • 강신재;한창우;권기수;김남수
    • 한국통신학회논문지
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    • 제37권6C호
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    • pp.492-496
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    • 2012
  • 본 논문은 잡음이 많이 존재할 경우 특징 보상 기법들의 불완전한 추정 방법으로 인하여 발생할 수 있는 불확실성 정보를 음성 인식의 디코딩에 반영해 줌으로써 좀 더 인식 성능을 향상시킬 수 있는 방법에 대한 연구이다. 기존의 특징 보상 기법들은 현재 시간에서의 깨끗한 특징 파라미터를 추정하는 단일점 추정 기법들이 대부분이다. 하지만 낮은 SNR 환경에서의 잘못된 추정 파라미터들이 음성 인식 엔진의 입력으로 사용될 경우 성능이 저하되기 때문에 추정된 파라미터의 불확실성 정보를 이용하여 디코딩을 해주면 추정 오류를 보완해줄 수 있다. 본 논문에서는 대표적인 Aurora-2 DB를 활용하여 적용된 기법의 성능 향상을 확인한다.

조명의 변화에 강건한 얼굴인식 (Face Recognition Method Robust to Change in Lighting Condition)

  • 남기환;한준희;박호식;이영식;정연길;나상동;배철수
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2005년도 춘계종합학술대회
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    • pp.1137-1140
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    • 2005
  • 본 논문은 실험영상이 학습영상에 대해 조명의 차이가 있는 경우에도 데이터베이스 안에서 누구인지를 식별하는 얼굴인식 방법을 제안하였으며, 또한 HMM과 KLT를 이용한 얼굴인식 알고리즘의 수행결과를 비교, 분석하였다. 얼굴인식 방법으로 측정벡터는 직교변환(Karhuman Loevs Trans-form : KLT)의 상관관계를 이용하여 얻은 HMM의 정역학특성을 사용하여 HMM 기존의 얼굴인식 방법에서 인식률을 개선하였으며, 실험결과로써 조명의 조건에 따른 여러 가지 복잡한 주변 상황변화에서도 제안된 방식의 효율성을 입증할 수 있었다.

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임부의 태교인식과 태교실천에 관한 조사연구 (A Study on Recognition and Practice of Teakyo by Pregnant Women)

  • 신용분;고효정
    • 여성건강간호학회지
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    • 제6권1호
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    • pp.142-152
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    • 2000
  • This study is a descriptive study to offer an actual basic data as Nursing intervention strategy of nurses before delivery in order that pregnant women in Korea may effectively practice Taekyo by examining the relation after apprehending level of recognition and practice of our pregnant women about Taekyo. This study collected questionnaires from 801 pregnant women who visited general hospitals in 10 areas(Seoul, Daejon, chunan, Daegu, Kummi, $Ky{\check{o}}ngju$, $P{\ddot{o}}hang$, Busan, $J{\ddot{o}}nju$, and $Y{\ddot{o}}nkwang$) for prenatal care through an outpatient obstetrics and gynecology from July 15 to August 30, 1999. This study used the tool of lee, Ki Young(1993) revised an complemented by investigator to measure recognition of Taekyo and the tool of Jang, Shun Buk and Park, Young Ju(1996) revised and complemented by investigator to measure practice of Taekyo. The Cronbach's alpha value of each tool was .88 in recognition of Taekyo, while the value was .90 in practice of Taekyo. For data analysis, this study used the descriptive and statistical analysis, Pearson correlation, t-test, ANOVA, Tukey's post hoc contrast, and Stepwise multiple regression in accordance with the purpose of this study with using SPSS Win 7.5 program. The results were as follows ; 1. The practice of Taekyo was low in comparison with recognition of Teakyo by showing average 4.28 points and standard deviation 0.48 at level of recognition of pregnant women about Taekyo on the basis of 5 points and showing to show average 2.81 points and standard deviation 0.36 at practice level on the basis of 4 points. 2. They showed the higher level of recognition on Taekyo at high educational background of pregnant woman(F=3.735, p=.005), Roman catholicism (F=4.570, p=.002), satisfied married life(F=5.448, p=.004), high monthly income(F=6.096, p=.000) and cases of hoping pregnancy(F=2.525, p=.012). 3. They showed the higher level of practice on Taekyo at high educational background of pregnant woman(F=2.883, P=.022), Roman catholicism(F=3.616, p=.032), satisfied married life(F=19.924, p=.000), good health condition(F=2.386, p=.017), cases of hoping pregnancy(F=0.677, p=.000), cases of planning pregnancy with husband(F=3.024, p=.001), cases of regular prenatal care before delivery(F=0.241, p=.005), cases of maternal breast feeding (F=9.132, p=.000), and the number of less children(F=2.763, p=.041). 4. In result of examining correlation between recognition and practice of Taekyo, they showed high level of practice on Taekyo under high level of recognition of pregnant women on Taekyo by showing the statistically significant correlation. 5. In result of examining the related factors that affect recognition and practice of Taekyo y the object, practice of Taekyo had 16.8 percents of explanatory range, purpose of practicing Taekyo 8.5 percents of explanatory range, and monthly income 1.9 percent of explanatory range as variables of affecting recognition of Taekyo. The total explanatory range was 27.2 percents, Recognition of Taekyo had 16.1 percents of explanatory ragne, time of starting Taekyo 3.2 percents, health condition 2.2 percents of explanatory range, condition of hoping pregnancy 1.1 percent of explanatory range, satisfaction of married life 0.8 percent of explanatory range, and religion 0.6 percent of explanatory range as variables of affecting practice of Taekyo. The total explanatory range was 24.0 percents.

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사물인식을 위한 딥러닝 모델 선정 플랫폼 (Deep Learning Model Selection Platform for Object Detection)

  • 이한솔;김영관;홍지만
    • 스마트미디어저널
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    • 제8권2호
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    • pp.66-73
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    • 2019
  • 최근 컴퓨터 비전을 활용한 사물인식 기술이 센서 기반 사물인식 기술을 대체할 기술로 주목을 받고 있다. 센서 기반 사물인식 기술은 일반적으로 고가의 센서를 필요로 하기 때문에 기술이 상용화되기 어렵다는 문제가 있었다. 반면 컴퓨터 비전을 활용한 사물인식 기술은 고가의 센서 대신 비교적 저렴한 카메라를 사용할 수 있다. 동시에 CNN이 발전하면서 실시간 사물인식이 가능해진 이후 IoT, 자율주행자동차 등 타 분야에 활발하게 도입되고 있다. 그러나 사물 인식 모델을 상황에 알맞게 선택하고 학습시키기 위해서는 딥러닝에 대한 전문적인 지식을 요구하기 때문에 비전문가가 사물 인식 모델을 사용하기에는 어려움이 따른다. 따라서 본 논문에서는 딥러닝 기반 사물인식 모델들의 구조와 성능을 분석하고, 사용자가 원하는 조건의 최적의 딥러닝 기반 사물 인식 모델을 스스로 선정할 수 있는 플랫폼을 제안한다. 또한 통계에 기반한 사물 인식 모델 선정이 필요한 이유를 실험을 통해 증명한다.

영상 및 레이저 계측기를 통한 경사면 상황인식 시스템 (Recognition System of Slope Condition Using Image and Laser Measuring Instrument)

  • 한상훈;한영준
    • 대한임베디드공학회논문지
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    • 제9권4호
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    • pp.219-227
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    • 2014
  • Natural disasters such as a ground collapse and a landslide have broken out due to the climate change of the Korea and the reckless expansion of cities and roads. The climate changes and the reckless urbanization have made the ground weak. Thus, it is important to keep a close eye on the highly weakened landslide and to prevent its natural disasters. In order to prevent these disasters, this paper presents a system of recognizing the road slide condition by measuring the displacements using laser scanner instrument. The previous system of monitoring the road slide has some problems as inaccurate recognition due to using only images from a camera, or expensive system such as artificial satellites and aircraft systems. To solve this problem, our proposed system uses the 3D range data from the laser scanner for measuring the accurate displacement of the road slide and optical flows from the Lucas-Kanade algorithm for recognizing the road slide in the image.

Railway sleeper crack recognition based on edge detection and CNN

  • Wang, Gang;Xiang, Jiawei
    • Smart Structures and Systems
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    • 제28권6호
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    • pp.779-789
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    • 2021
  • Cracks in railway sleeper are an inevitable condition and has a significant influence on the safety of railway system. Although the technology of railway sleeper condition monitoring using machine learning (ML) models has been widely applied, the crack recognition accuracy is still in need of improvement. In this paper, a two-stage method using edge detection and convolutional neural network (CNN) is proposed to reduce the burden of computing for detecting cracks in railway sleepers with high accuracy. In the first stage, the edge detection is carried out by using the 3×3 neighborhood range algorithm to find out the possible crack areas, and a series of mathematical morphology operations are further used to eliminate the influence of noise targets to the edge detection results. In the second stage, a CNN model is employed to classify the results of edge detection. Through the analysis of abundant images of sleepers with cracks, it is proved that the cracks detected by the neighborhood range algorithm are superior to those detected by Sobel and Canny algorithms, which can be classified by proposed CNN model with high accuracy.

Effect of Digital Noise Reduction of Hearing Aids on Music and Speech Perception

  • Kim, Hyo Jeong;Lee, Jae Hee;Shim, Hyun Joon
    • Journal of Audiology & Otology
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    • 제24권4호
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    • pp.180-190
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    • 2020
  • Background and Objectives: Although many studies have evaluated the effect of the digital noise reduction (DNR) algorithm of hearing aids (HAs) on speech recognition, there are few studies on the effect of DNR on music perception. Therefore, we aimed to evaluate the effect of DNR on music, in addition to speech perception, using objective and subjective measurements. Subjects and Methods: Sixteen HA users participated in this study (58.00±10.44 years; 3 males and 13 females). The objective assessment of speech and music perception was based on the Korean version of the Clinical Assessment of Music Perception test and word and sentence recognition scores. Meanwhile, for the subjective assessment, the quality rating of speech and music as well as self-reported HA benefits were evaluated. Results: There was no improvement conferred with DNR of HAs on the objective assessment tests of speech and music perception. The pitch discrimination at 262 Hz in the DNR-off condition was better than that in the unaided condition (p=0.024); however, the unaided condition and the DNR-on conditions did not differ. In the Korean music background questionnaire, responses regarding ease of communication were better in the DNR-on condition than in the DNR-off condition (p=0.029). Conclusions: Speech and music perception or sound quality did not improve with the activation of DNR. However, DNR positively influenced the listener's subjective listening comfort. The DNR-off condition in HAs may be beneficial for pitch discrimination at some frequencies.

Effect of Digital Noise Reduction of Hearing Aids on Music and Speech Perception

  • Kim, Hyo Jeong;Lee, Jae Hee;Shim, Hyun Joon
    • 대한청각학회지
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    • 제24권4호
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    • pp.180-190
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    • 2020
  • Background and Objectives: Although many studies have evaluated the effect of the digital noise reduction (DNR) algorithm of hearing aids (HAs) on speech recognition, there are few studies on the effect of DNR on music perception. Therefore, we aimed to evaluate the effect of DNR on music, in addition to speech perception, using objective and subjective measurements. Subjects and Methods: Sixteen HA users participated in this study (58.00±10.44 years; 3 males and 13 females). The objective assessment of speech and music perception was based on the Korean version of the Clinical Assessment of Music Perception test and word and sentence recognition scores. Meanwhile, for the subjective assessment, the quality rating of speech and music as well as self-reported HA benefits were evaluated. Results: There was no improvement conferred with DNR of HAs on the objective assessment tests of speech and music perception. The pitch discrimination at 262 Hz in the DNR-off condition was better than that in the unaided condition (p=0.024); however, the unaided condition and the DNR-on conditions did not differ. In the Korean music background questionnaire, responses regarding ease of communication were better in the DNR-on condition than in the DNR-off condition (p=0.029). Conclusions: Speech and music perception or sound quality did not improve with the activation of DNR. However, DNR positively influenced the listener's subjective listening comfort. The DNR-off condition in HAs may be beneficial for pitch discrimination at some frequencies.