• 제목/요약/키워드: materials recognition

검색결과 675건 처리시간 0.027초

Changes in a facial recognition algorithm following different types of orthognathic surgery: a comparative study

  • Kim, Won-Yong;Han, Se Jin
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • 제48권4호
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    • pp.201-206
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    • 2022
  • Objectives: Contemporary biometric technologies have been gaining traction in both public and private security sectors. Facial recognition is the most commonly used biometric technology for this purpose. We aimed to evaluate the ability of a publicly available facial recognition application program interface to calculate similarity scores of presurgical and postsurgical photographs of patients who had orthognathic surgery. Materials and Methods: Presurgical and postsurgical photographs of 75 patients who had orthognathic surgery between January 2018 and November 2020 in our department were used. Frontal photographs of patients in relaxed and smiling states were taken. The patients were classified into three groups: Group 2 had one-jaw surgery, Group 3 had two-jaw surgery to correct mandibular prognathism, and Group 4 had two-jaw surgery to correct facial asymmetry. For comparison, photographs of 10 participants were used as controls (Group 1). Two facial recognition application programs (Face X and Azure) were used to assess similarity scores. Results: The similarity scores in the two programs showed significant results. The similarity score of the control group, which did not undergo orthognathic surgery, was the highest. The results for Group 2, Group 3, and Group 4 were higher in the order of Group 2, Group 3, and Group 4. Conclusion: In this study, all orthodontic patients were recognized as the same person using the face recognition program before and after surgery. A significant difference in similarity results was obtained between the groups with both Face X and Azure and in both relaxed and smiling states.

Vision-Based Activity Recognition Monitoring Based on Human-Object Interaction at Construction Sites

  • Chae, Yeon;Lee, Hoonyong;Ahn, Changbum R.;Jung, Minhyuk;Park, Moonseo
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.877-885
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    • 2022
  • Vision-based activity recognition has been widely attempted at construction sites to estimate productivity and enhance workers' health and safety. Previous studies have focused on extracting an individual worker's postural information from sequential image frames for activity recognition. However, various trades of workers perform different tasks with similar postural patterns, which degrades the performance of activity recognition based on postural information. To this end, this research exploited a concept of human-object interaction, the interaction between a worker and their surrounding objects, considering the fact that trade workers interact with a specific object (e.g., working tools or construction materials) relevant to their trades. This research developed an approach to understand the context from sequential image frames based on four features: posture, object, spatial features, and temporal feature. Both posture and object features were used to analyze the interaction between the worker and the target object, and the other two features were used to detect movements from the entire region of image frames in both temporal and spatial domains. The developed approach used convolutional neural networks (CNN) for feature extractors and activity classifiers and long short-term memory (LSTM) was also used as an activity classifier. The developed approach provided an average accuracy of 85.96% for classifying 12 target construction tasks performed by two trades of workers, which was higher than two benchmark models. This experimental result indicated that integrating a concept of the human-object interaction offers great benefits in activity recognition when various trade workers coexist in a scene.

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말디토프 질량분석을 이용한 고분자의 특성분석 (Analysis of Polymer Characteristics Using Matrix-assisted Laser Desorption/Ionization Time-of-flight Mass Spectrometry)

  • 강민정;성윤서;김문주;김명수;변재철
    • 공업화학
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    • 제28권3호
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    • pp.263-271
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    • 2017
  • 최근에, 질량분석기술의 폴리머 분석에의 응용은 MALDI-TOF MS 개발 이후 급속도로 발전하였다. 이 리뷰 논문은 현재까지 연구된 MALDI-TOF MS의 폴리머 특성분석에의 응용에 관한 최신 논문을 정리하였다. MALDI-TOF MS는 바이오 폴리머와, 합성 폴리머의 평균분자량 분석, 폴리머의 시퀀스 분석을 통한 구조의 해석, 모노머의 조성분석에까지 이용되고 있다. 엔드그룹의 특성과 농도를 분석하는 연구도 많이 진행되었고, 복잡한 폴리머의 분자량의 분석에는 SEC와 MALDI-TOF MS를 연결한 분석법을 추천한다. MALDI에 tandem MS를 결합한 분석기술이나, 이온 모빌리티를 응용한 질량분석기, TOF-SIMS, MALDI-TOF-Imaging 기술도 급격히 발전하고 있으며, 이의 폴리머 특성분석에의 응용은 별도의 분리기술이 필요 없어 앞으로 더 많이 이용될 것으로 생각된다. 분자량, 시퀀스, 그리고 모노머의 조성을 정확하게 계산해주는 소프트웨어와 고분자량(> 100 kDa)의 분석을 가능하게 해주는 기술이 개발된다면, 폴리머를 연구하는 과학자들에게 MALDI-TOF MS의 이용은 문제점을 해결하고, 목적하는 폴리머를 합성하는 데 중요한 수단이 될 것이다.

친환경유기농자재 안전성 확보를 위한 농업인의 인식도 조사 (A Survey on the Recognition of Korean Farmers for the Safety of Environment-friendly Organic Materials)

  • 백민경;이제봉;오진아;김민주;김상수;최칠구;김두호
    • 한국유기농업학회지
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    • 제21권2호
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    • pp.233-246
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    • 2013
  • 본 연구에서는 친환경유기농자재를 사용하는 농업인을 대상으로 친환경유기농자재 구입실태 및 친환경유기농자재 안전관리방안에 대한 인식도 등을 조사하였다. 친환경 유기농자재를 구입하는 가장 큰 경로는 친환경농업단체였으며, 자재의 구입을 결정하는 가장 큰 근거는 '생산되는 농산물이 안전할 것 같아서'로 나타났다. 현재 친환경유기농자재에 대한 정보를 가장 많이 입수하는 경로는 '농업기술센터가 주최하는 교육'이었으며, 향후에도 국가 및 관련기관의 교육이나 홈페이지를 통해 정보를 제공받기를 희망하는 비율이 69.0%에 달하였다. 반면 '농자재판매상'을 통한 정보제공의 희망 비율이 매우 낮아 제도적으로 농자재 판매상 교육을 지원함으로써 농업인에게 정확한 농자재의 정보가 제공될 수 있도록 할 필요가 있다. 또한 국가기관에서 농업인들에게 제공하는 교육을 통한 안전성 관련 정보 제공의 필요성을 높게 인식하고 있었으며, 특히 농자재의 안전교육을 안전한 제품개발 다음으로 중요하게 여기는 것으로 조사되었다. 또한 조사대상 농업인은 친환경유기농자재의 유통기한 설정, 사용자 취급지침 설정과 독성구분 표기가 모두 필요하다고 응답하였다. 설문문항간 신뢰성을 검증하기 위하여 실시한 크론바하 알파계수는 0.699로 본 연구에서 설문한 문항에 대해 조사대상자들이 신뢰 있게 응답하였음을 알 수 있다.

열특성을 이용한 물체 인식 센서의 구현 (Implementation of recognition sensor using thermal properties of object)

  • 박귀태;임영철;정우남;조경영;조진영
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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    • pp.438-442
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    • 1988
  • In this paper, we describe a novel robot sensor designed to measure some of the thermal properties of a gripped object. The thermal conductivity of the object can be calculated by the proposed method. And the thermal sensor response enables robot system to discriminate between objects made of different materials.

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Liquid Chromatographic Resolution of N-(3,5-Dinitrobenzoyl)-α-amino Acids on a New Chiral Stationary Phase: the First Liquid Chromatographic Utilization of a Double-Ureide Pocket for the Recognition of Chiral Carboxylate Anions

  • Hyun, Myung-Ho;Kim, Seung-Nam;Choi, Hee-Jung;Sakthivel, Pachgounder
    • Bulletin of the Korean Chemical Society
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    • 제28권11호
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    • pp.1980-1984
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    • 2007
  • An HPLC chiral stationary phase (CSP) which has only two ureide functional groups was prepared starting from (1S,2S)-1,2-diaminocyclohexane. The CSP was successful in the resolution of various N-(3,5- dinitrobenzoyl)-α-amino acids, the separation (α) and the resolution factors (RS) being within the range of 1.11-1.35 and 2.19-5.17, respectively with the use of 20% 2-propanol in hexane containing 0.1% trifluoroacetic acid as a mobile phase. However, ethyl esters of N-(3,5-dinitrobenzoyl)-α-amino acids were not resolved or resolved with only marginal separation and resolution factors on the CSP under the identical mobile phase condition. From these results, the complexation of the carboxylate anions of analytes inside the double-ureide pocket of the CSP was expected to play some important role for the chiral recognition. In contrast, N-(3,5- dinitrobenzoyl)-α-amino acid N-propylamides were resolved on the CSP with reasonable separation and resolution factors. Enantioselective hydrogen bonding interactions between analytes and the CSP were presumed to be responsible for these resolutions.

Detection of tube defect using the autoregressive algorithm

  • Halim, Zakiah A.;Jamaludin, Nordin;Junaidi, Syarif;Yusainee, Syed
    • Steel and Composite Structures
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    • 제19권1호
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    • pp.131-152
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    • 2015
  • Easy detection and evaluation of defect in the tube structure is a continuous problem and remains a significant demand in tube inspection technologies. This study is aimed to automate defect detection using the pattern recognition approach based on the classification of high frequency stress wave signals. The stress wave signals from vibrational impact excitation on several tube conditions were captured to identify the defect in ASTM A179 seamless steel tubes. The variation in stress wave propagation was captured by a high frequency sensor. Stress wave signals from four tubes with artificial defects of different depths and one reference tube were classified using the autoregressive (AR) algorithm. The results were demonstrated using a dendrogram. The preliminary research revealed the natural arrangement of stress wave signals were grouped into two clusters. The stress wave signals from the healthy tube were grouped together in one cluster and the signals from the defective tubes were classified in another cluster. This approach was effective in separating different stress wave signals and allowed quicker and easier defect identification and interpretation in steel tubes.

초등학교(初等學校) 시설공간(施設空間)의 재활용(再活用)에 관한 연구(硏究) - 분류면(分類面)에서 본 통행공간(通行空間)의 규모(規模).현상(現狀).인지실태(認知實態)에 대해서 - (A Study on the Recycle of Facility Space in Elementary Schools - On the Size and Sense of Materials and Cognition of Passage Space from the Side of Classification -)

  • 김수인;이정희;최상훈
    • 교육시설
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    • 제3권2호
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    • pp.25-35
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    • 1996
  • This study is to find countermeasures of facility space according to the development of new educational program and the opening of education market from the renewal of existing facilities. The renewal is consider as the worldwide trend for enhancing added value of the facilities in economic side of educational facilities as well as educational contents. This study selects six from 94 elementary schools in Kwangju-city to examine our educational conditions, understand using conditions and recognition of existing space and possibility of the recycle. The hypothesis that recognition of existing facility space in school may be varied according to physical conditions of children is made in four sides, six elements and two trends are extracted and then life pattern, size, sense of materials and cognition of three types of passage space are analyzed. Accordingly, this study obtains such results that passage space is life space having strong place concept and there is the possibility of renewal of existing school building facilities corresponding to multipurpose of school facilities.

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Sensibility Evaluation of Eco-friendly Apparel Products according to Recognition of Eco-friendliness

  • Na, Young Joo;Kim, Hee Jin
    • 한국의류산업학회지
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    • 제15권4호
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    • pp.642-648
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    • 2013
  • This study investigates the changes inconsumer sensibility and product preferences according to theirecofriendly productperceptions. Stimulants (released by three companies of sport casual brands)include three shirts made of recycled polyester and three made of organic cotton. A surveymethod was used to respond to the emotion and image while watching the presented pictures of the clothes. The change in the reactions was analyzed before and after the presentation of eco-friendliness information. The questionnaire consists of sensibility adjectives, open-ended questions about the associated image of eco-friendliness, color attractiveness, product favorability, price satisfaction, and reasons for an eco-friendly productpurchase. The survey was conducted on 200adult male and female participants. Two factors ('eco' and 'design')were identifiedthrough the factor analysis of image adjectives. There was a statistically significant increase in the evaluation of sensibility, color attractiveness, product favorability, and price satisfactiondue to the re-evaluation of the same products after consumers recognized the eco-friendly information of apparel products. When consumers recognize products aseco-friendly, they evaluate the products more positively than before. The result of the analysis of the increases by textile materials shows no significant difference in the sensibility changes depending on the materials. However, with regard to 'eco', the increase of sensibility change for organic cotton products was larger than for recycled polyester products.