• 제목/요약/키워드: common recognition

검색결과 652건 처리시간 0.025초

Common Optical System for the Fusion of Three-dimensional Images and Infrared Images

  • Kim, Duck-Lae;Jung, Bo Hee;Kong, Hyun-Bae;Ok, Chang-Min;Lee, Seung-Tae
    • Current Optics and Photonics
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    • 제3권1호
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    • pp.8-15
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    • 2019
  • We describe a common optical system that merges a LADAR system, which generates a point cloud, and a more traditional imaging system operating in the LWIR, which generates image data. The optimum diameter of the entrance pupil was determined by analysis of detection ranges of the LADAR sensor, and the result was applied to design a common optical system using LADAR sensors and LWIR sensors; the performance of these sensors was then evaluated. The minimum detectable signal of the $128{\times}128-pixel$ LADAR detector was calculated as 20.5 nW. The detection range of the LADAR optical system was calculated to be 1,000 m, and according to the results, the optimum diameter of the entrance pupil was determined to be 15.7 cm. The modulation transfer function (MTF) in relation to the diffraction limit of the designed common optical system was analyzed and, according to the results, the MTF of the LADAR optical system was 98.8% at the spatial frequency of 5 cycles per millimeter, while that of the LWIR optical system was 92.4% at the spatial frequency of 29 cycles per millimeter. The detection, recognition, and identification distances of the LWIR optical system were determined to be 5.12, 2.82, and 1.96 km, respectively.

주파수 변이를 이용한 Parallel Model Combination 모델 적응에 기반한 잡음에 강한 음성인식 (Noise Robust Speech Recognition Based on Parallel Model Combination Adaptation Using Frequency-Variant)

  • 최숙남;정현열
    • 한국음향학회지
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    • 제32권3호
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    • pp.252-261
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    • 2013
  • 일반적인 음성인식 시스템은 조용한 인식 환경에서는 높은 인식성능을 나타내지만 잡음이 존재하는 실제 환경에서는 그 성능이 급격히 저하한다. 본 논문에서는 다양한 잡음환경에서도 강인한 음성인식기를 구현하기 위하여, 주파수의 변이도를 이용하여 음성인식을 위한 환경 정보를 얻고 이를 음성 인식을 위한 모델 개선에 적용하여 성능향상을 도모하는 환경정보 지식에 기반한 주파수 변이 적응 PMC (Parallel Model Combination adaptation using frequency-variant based on environment - awareness : FV-PMC) 방법을 제안한다. 이 방법은 미리 분류된 각 잡음 군간의 평균 주파수 변이도를 미리 계산하여 임계치로 설정하고 미지의 잡음이 포함된 음성이 입력되면 각 잡음 군과의 주파수 변이도를 다시 계산하여 해당 잡음군의 임계치 보다 높을 경우 그 잡음 군의 잡음이 포함된 음성으로 간주하여 이 잡음 군이 포함된 음성을 이용하여 생성된 인식모델을 이용하여 음성인식을 수행한다. 제안한 FV-PMC 방법을 이용하여 잡음을 분류 하였을 경우 평균 분류 정확도는 56%를 보였고 이를 이용해 음성인식 실험을 실시한 결과 Set A의 평균인식률은 79.05%, Set B의 평균인식률은 79.43%, Set C의 평균인식률은 83.37%로 나타났다. 전체 평균인식률 80.62%로 기존의 깨끗한 모델을 이용한 PMC 인식률 74.93% 보다 5.69% 향상된 결과를 보여 제안한 방법의 유효성을 확인할 수 있었다.

얼굴영상을 이용한 한국인과 일본인의 감정 인식 비교 (Emotion Recognition of Korean and Japanese using Facial Images)

  • 이대종;안의숙;박장환;전명근
    • 한국지능시스템학회논문지
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    • 제15권2호
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    • pp.197-203
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    • 2005
  • 본 논문에서는 얼굴영상을 이용하여 한국인과 일본인의 감정인식에 대하여 연구하였다. 얼굴의 감정인식을 위하여 심리학자인 Ekman과 Friesen의 연구에 의해 문화에 영향을 받지 않고 공통으로 인식하는 6개의 기본 감정인 기쁨, 슬픔, 화남, 놀람, 공포, 혐오를 바탕으로 실험하였다. 감정인식에서 입력영상은 이산 웨이블렛을 기반으로 한 다해상도 분석기법을 사용하여 데이터 수를 압축한 후, 각각의 영상에서 주성분분석기법 및 선형판별분석기법에 의해 얼굴의 감정특징을 추출하였다. 실험결과 한국인과 일본인 모두 "기쁨", "슬픔", "화남" 감정은 비교적 인식률이 높은 반면에 "놀람", "공포", "혐오" 감정은 인식률이 저조하게 나타냈다. 특히, 일본인의 경우 "혐오" 감정이 가장 저조한 결과를 나타냈으며, 전반적으로 한국인에 비해 일본인의 감정인식결과가 낮은 것으로 나타났다.

치과 의료 인력과 치과기공사의 업무협력에 대한 인식 - 치과기공사 중심으로 - (Perception of Dental Personnel and Dental Technicians on Interprofessional Collaboration - Focus on Dental Technicians -)

  • 김정숙;이혜은
    • 대한치과기공학회지
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    • 제36권2호
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    • pp.119-128
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    • 2014
  • Purpose: This study has been carried out to help to enhance the measures of interprofessional collaboration between Dental personnel and dental technicians, and between dental technicians themselves through the analysis of recognition of interprofessional collaboration between dental technicians. Methods: The subjects in this study were 130 dental technicians who were self-written questionnaire. The results were analyzed by SPSS 12.0. The collected data was analyzed by frequency and Correlation. Results: As a result of examining the correlation analysis of each question to explore the factors that affect interprofessional collaboration recognition of dental technicians, the group which received criticism from dental personnel showed negative (-) correlation in the interprofessional collaboration recognition (p<0.05). The following groups showed positive (+) correlations in the recognition of interprofessional collaboration : the group who replied that they can utilize information on the patients associated with the prosthesis production (p<0.01); the group who thinks that they are sharing common goals (P<0.01); and the group who replied that Dental personnel are familiar with patients (p<0.01). The following groups also showed higher positive (+) correlations in the recognition of interprofessional collaboration : the group who replied that they frequently discuss patient's information with Dental personnel (p<0.01); the group who thinks they have mutual confidence in one another (p<0.01); the group who thinks that cooperation among their colleagues in dental technique laboratories are being done well (p<0.01); and the group that has high job satisfaction (p<0.01). Conclusion: Effective communication and team work between human resources for providing medical service of the facility are essential for safe and high-quality medical service to patients. Further, such elements are directly connected to efficiency of the entire team. The reliability between dental technician and Dental personnel for cooperation should not be neglected therefore continuous interests in inter-cooperative partnership is required.

고층아파트 지붕형태의 변천과 선호특성에 관한 연구 - 광주광역시의 고층아파트를 중심으로 - (A Study on Changes and Preferences of Roof Styles of High-storied Apartments - Centering of High-storied Apartments in GwangJu -)

  • 오금열;김인호;김윤학;이봉수;조용준
    • 한국주거학회논문집
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    • 제19권3호
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    • pp.105-115
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    • 2008
  • This study examines and analyzes a variety of apartment roof style for 147 apartment complexes built in the Gwangju metropolitan city in order to determine the style that is most preferred. The results of this study are as follows. Most of apartment houses built in the Gwangju metropolitan city are 11 to 15 stories followed by apartments that have less than 5 stories, with fewer apartments that have 16 to 20 stories. According to roof styles, the eyebrow roof A type is the most common, followed by the plane roof A type, the sloped roof B type and the sloped roof C type, while 2/3 of all roof types have either an eyebrow roof A type or a plane roof A type. Using images of these roof types to determine those that are preferred, the decorative roof C type is most preferred, followed by the sloped roof B and C types. According to recognition of adjective pairs, decorative roof C type showed a higher recognition for the categories of unique, decorative, three dimensional and novel, the sloped roof B type showed a higher recognition for the categories of three dimensional, decorative and structured while the sloped roof C type showed a higher recognition in the decorative, novel, varied and three dimensional categories. In the correlations between image preference and recognition scale of roof styles of apartment houses, decorative roof C type showed a significant correlation between adjective pairs with the calm image, the sloped roof B type with the intimate image, while the sloped roof C type showed a correlation between static and ordered with the easy image. Therefore, for the design of future apartment roofs, decorative roof C type requires more consideration of visual aspects that are related to a sense of unity, while further morphological factors needs to be adopted with sloped roof B and C types.

중년여성의 피로인지여부에 따른 피로 정도 (The Degree of Fatigue According to Subjective Recognition in Middle - Aged Women -)

  • 신은주
    • 동의신경정신과학회지
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    • 제14권2호
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    • pp.107-115
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    • 2003
  • This study was conducted to investigate the subjective degree of fatigue, the degree of fatigue depending on analysis of MMPI and SDNN in middle-aged women. Data were collected from 51 patients, registered at Oriental Medicine Hospital in J-city and K-city respectively. The instrument used in this study were the Multidimensional Assessment of Fatigue developed by Belza(1995) and revised by Jung & Kim(1999) and the Minnesota Multiphasic Personality Inventory(MMPI) and Standard Deviation of Normal to Normal(SDNN). The collected data were analyzed by SPSS/WIN 9.0 program using frequencies, percentage, mean, standard deviation, t-test. The degree of fatigue in middle-aged women: the average score 30.61 out of the total score 40. Subdivision of fatigue scores: common fatigue degree 7.71, distress due to fatigue 7.67, degree of daily activity fatigue 7.43, and fatigue frequency in the previous week 7.84. The degree of fatigue according to subjective recognition was shown significant difference(t=6.707, p=.000).: group of recognition (33.58), group of ignorance (23.47). The degree of fatigue according to MMPI was shown significant difference. : In the group of recognition, scales of Hs, D, Hy, Pt were higher. The degree of fatigue according to SDNN was shown significant difference (T=-4.062, P=.000). : group of recognition (33.47ms), group of ignorance (45.70ms). The total fatigue score and scales of Hs, D, Hy in MMPI was correlated positively (r=.576; r=.466; r=.518), and total fatigue score and SDNN was correlated negatively (r=-.576). Conclusively fatigue is one of difficult problems in middle-aged women. Therefore it is necessary to develope some nursing intervention for reducing fatigue in its early stages.

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표정 HMM과 사후 확률을 이용한 얼굴 표정 인식 프레임워크 (A Recognition Framework for Facial Expression by Expression HMM and Posterior Probability)

  • 김진옥
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제11권3호
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    • pp.284-291
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    • 2005
  • 본 연구에서는 학습한 표정 패턴을 기반으로 비디오에서 사람의 얼굴을 검출하고 표정을 분석하여 분류하는 프레임워크를 제안한다. 제안 프레임워크는 얼굴 표정을 인식하는데 있어 공간적 정보 외시간에 따라 변하는 표정의 패턴을 표현하기 위해 표정 특성을 공간적으로 분석한 PCA와 시공간적으로 분석한 Hidden Markov Model(HMM) 기반의 표정 HMM을 이용한다. 표정의 공간적 특징 추출은 시간적 분석 과정과 밀접하게 연관되어 있기 때문에 다양하게 변화하는 표정을 검출하여 추적하고 분류하는데 HMM의 시공간적 접근 방식을 적용하면 효과적이기 때문이다. 제안 인식 프레임워크는 현재의 시각적 관측치와 이전 시각적 결과간의 사후 확률 방법에 의해 완성된다. 결과적으로 제안 프레임워크는 대표적인 6개 표정뿐만 아니라 표정의 정도가 약한 프레임에 대해서도 정확하고 강건한 표정 인식 결과를 보인다. 제안 프레임 워크를 이용하면 표정 인식, HCI, 키프레임 추출과 같은 응용 분야 구현에 효과적이다

Quantitative and Pattern Recognition Analyses for the Quality Evaluationof Herba Epimedii by HPLC

  • Nurul Islam, M.;Lee, Sang-Kyu;Jeong, Seo-Young;Kim, Dong-Hyun;Jin, Chang-Bae;Yoo, Hye-Hyun
    • Bulletin of the Korean Chemical Society
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    • 제30권1호
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    • pp.137-144
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    • 2009
  • In this study, quantitative and pattern recognition analyses for the quality evaluation of Herba Epimedii using HPLC was developed. For quantitative analysis, five major bioactive constituents, hyperin, epimedin A, epimedin B, epimedin C, and icariin were determined. Analysis was carried out on Capcell pak $C_{18}$ column ($250{\time}4.6$ mm, 5 ${\mu}m$) with a mobile phase of mixture of acetonitrile and 0.1% formic acid, using UV detection at 270 nm. The linear behavior was observed over the investigated concentration range (2-50 ${\mu}g/mL;\;r_2\;>$ 0.99) for all analytes. The intraand inter-day precisions were lower than 4.3% (as a relative standard deviation, RSD) and accuracies between 95.1% and 104.4%. The HPLC analytical method for pattern recognition analysis was validated by repeated analysis of one reference sample. The RSD of intra- and inter-day variation of relative retention time (RRT) and relative peak area (RPA) of the 12 selected common peaks were below 0.8% and 4.7%, respectively. The developed methods were applied to analysis of twenty Herba Epimedii extract samples. Contents of hyperin, epimedin A, epimedin B, epimedin C, and icariin were calculated to be 0$\sim$0.79, 0.69$\sim$1.91, 0.93$\sim$9.58, 0.65$\sim$3.05, and 2.43$\sim$11.8 mg/g dried plant. Principal component analysis (PCA) showed that most samples were clustered together with the reference samples but several apart from the main cluster in the PC score plot, indicating differences in overall chemical composition between two clusters. The present study suggests that quantitative determination of marker compounds combined with pattern-recognition method can provide a comprehensive approach for the quality assessment of herbal medicines.

The Role of Cognitive Control in Tinnitus and Its Relation to Speech-in-Noise Performance

  • Tai, Yihsin;Husain, Fatima T.
    • 대한청각학회지
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    • 제23권1호
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    • pp.1-7
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    • 2019
  • Self-reported difficulties in speech-in-noise (SiN) recognition are common among tinnitus patients. Whereas hearing impairment that usually co-occurs with tinnitus can explain such difficulties, recent studies suggest that tinnitus patients with normal hearing sensitivity still show decreased SiN understanding, indicating that SiN difficulties cannot be solely attributed to changes in hearing sensitivity. In fact, cognitive control, which refers to a variety of top-down processes that human beings use to complete their daily tasks, has been shown to be critical for SiN recognition, as well as the key to understand cognitive inefficiencies caused by tinnitus. In this article, we review studies investigating the association between tinnitus and cognitive control using behavioral and brain imaging assessments, as well as those examining the effect of tinnitus on SiN recognition. In addition, three factors that can affect cognitive control in tinnitus patients, including hearing sensitivity, age, and severity of tinnitus, are discussed to elucidate the association among tinnitus, cognitive control, and SiN recognition. Although a possible central or cognitive involvement has always been postulated in the observed SiN impairments in tinnitus patients, there is as yet no direct evidence to underpin this assumption, as few studies have addressed both SiN performance and cognitive control in one tinnitus cohort. Future studies should aim at incorporating SiN tests with various subjective and objective methods that evaluate cognitive performance to better understand the relationship between SiN difficulties and cognitive control in tinnitus patients.

A Design and Implementation Mobile Game Based on Kinect Sensor

  • Lee, Won Joo
    • 한국컴퓨터정보학회논문지
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    • 제22권9호
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    • pp.73-80
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    • 2017
  • In this paper, we design and implement a mobile game based on Kinect sensor. This game is a motion recognition maze game based on Kinect sensor using XNA Game Studio. The game consists of three stages. Each maze has different size and clear time limit. A player can move to the next stage only if the player finds the exit within a limited time. However, if the exit is not found within the time limit, the game ends. In addition, two kinds of mini games are included in the game. The first game is a fruit catch game using motion recognition tracking of the Kinect sensor, and player have to pick up a certain number of randomly falling fruits. If a player acquire a certain number of fruits at this time, the movement speed of the player is increased. However, if a player takes a skeleton that appears randomly, the movement speed will decrease. The second game is a Quiz game using the speech recognition function of the Kinect sensor, and a question from random genres of common sense, nonsense, ancient creature, capital, constellation, etc. are issued. If a player correctly answers more than 7 of 10 questions, the player gets useful items to use in finding the maze. This item is a navigator fairy that helps the player to escape the forest.