• 제목/요약/키워드: residual set

검색결과 327건 처리시간 0.025초

Comparison of two different methods of detecting residual caries

  • Vural, Uzay Koc;Kutuk, Zeynep Bilge;Ergin, Esra;Cakir, Filiz Yalcin;Gurgan, Sevil
    • Restorative Dentistry and Endodontics
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    • 제42권1호
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    • pp.48-53
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    • 2017
  • Objectives: The aim of this study was to investigate the ability of the fluorescence-aided caries excavation (FACE) device to detect residual caries by comparing conventional methods in vivo. Materials and Methods: A total of 301 females and 202 males with carious teeth participated in this study. The cavity preparations were done by grade 4 (Group 1, 154 teeth), grade 5 (Group 2, 176 teeth), and postgraduate (Group 3, 173 teeth) students. After caries excavation using a handpiece and hand instruments, the presence of residual caries was evaluated by 2 investigators who were previously calibrated for visual-tactile assessment with and without magnifying glasses and trained in the use of a FACE device. The tooth number, cavity type, and presence or absence of residual caries were recorded. The data were analyzed using the Chi-square test, the Fisher's Exact test, or the McNemar test as appropriate. Kappa statistics was used for calibration. In all tests, the level of significance was set at p = 0.05. Results: Almost half of the cavities prepared were Class II (Class I, 20.9%; Class II, 48.9%; Class III, 20.1%; Class IV, 3.4%; Class V, 6.8%). Higher numbers of cavities left with caries were observed in Groups 1 and 2 than in Group 3 for all examination methods. Significant differences were found between visual inspection with or without magnifying glasses and inspection with a FACE device for all groups (p < 0.001). More residual caries were detected through inspection with a FACE device (46.5%) than through either visual inspection (31.8%) or inspection with a magnifying glass (37.6%). Conclusions: Within the limitations of this study, the FACE device may be an effective method for the detection of residual caries.

Type III 수소탱크 경화조건에 따른 잔류응력 비교 (Residual Stress Comparison of Type III Hydrogen Tank by Curing Conditions)

  • 신용철
    • Composites Research
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    • 제37권1호
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    • pp.15-20
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    • 2024
  • 수소탱크의 잔류응력은 내구도와 직접적인 관련이 있기 때문에 안전을 위해 이를 줄이는 것이 매우 중요하다. Type II~IV 수소탱크는 섬유에 수지를 함침시켜 라이너에 감는 필라멘트 와인딩 공법으로 제작하게 된다. 필라멘트 와인딩에서 잔류응력은 경화조건, 섬유 인장 등에 영향을 받게 되는데, 본 연구에서는 탄소섬유 필라멘트 와인딩 공정을 이용한 Type III 수소탱크 제작 시 경화조건이 잔류응력에 미치는 영향을 분석하였다. 먼저 에폭시 수지의 경화거동을 시차주사열량계를 이용하여 분석하였다. 이를 통해 경화온도를 140℃로 설정하였다. 같은 경화시간 동안 140℃에 먼저 도달하는 2-stage 경화조건과, 보다 늦게 도달하는 4-stage 경화조건으로 각각 시편을 경화시켰다. 경화 후 복합재 부분의 잔류응력을 ring slitting 법으로 측정하였고, 이 실험값을 수치해석적인 값과 비교하였다. 그 결과, 경화조건 최적화에 따른 유의미한 잔류응력의 차이가 발생함을 확인하였다.

A Triple Residual Multiscale Fully Convolutional Network Model for Multimodal Infant Brain MRI Segmentation

  • Chen, Yunjie;Qin, Yuhang;Jin, Zilong;Fan, Zhiyong;Cai, Mao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권3호
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    • pp.962-975
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    • 2020
  • The accurate segmentation of infant brain MR image into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is very important for early studying of brain growing patterns and morphological changes in neurodevelopmental disorders. Because of inherent myelination and maturation process, the WM and GM of babies (between 6 and 9 months of age) exhibit similar intensity levels in both T1-weighted (T1w) and T2-weighted (T2w) MR images in the isointense phase, which makes brain tissue segmentation very difficult. We propose a deep network architecture based on U-Net, called Triple Residual Multiscale Fully Convolutional Network (TRMFCN), whose structure exists three gates of input and inserts two blocks: residual multiscale block and concatenate block. We solved some difficulties and completed the segmentation task with the model. Our model outperforms the U-Net and some cutting-edge deep networks based on U-Net in evaluation of WM, GM and CSF. The data set we used for training and testing comes from iSeg-2017 challenge (http://iseg2017.web.unc.edu).

Probabilistic seismic demand assessment of self-centering concrete frames under mainshock-aftershock excitations

  • Song, Long L.;Guo, Tong;Shi, Xin
    • Steel and Composite Structures
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    • 제33권5호
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    • pp.641-652
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    • 2019
  • This paper investigates the effect of aftershocks on the seismic performance of self-centering (SC) prestressed concrete frames using the probabilistic seismic demand analysis methodology. For this purpose, a 4-story SC concrete frame and a conventional reinforced concrete (RC) frame are designed and numerically analyzed through nonlinear dynamic analyses based on a set of as-recorded mainshock-aftershock seismic sequences. The peak and residual story drifts are selected as the demand parameters. The probabilistic seismic demand models of the SC and RC frames are compared, and the SC frame is found to have less dispersion of peak and residual story drifts. The results of drift demand hazard analyses reveal that the SC frame experiences lower peak story drift hazards and significantly reduced residual story drift hazards than the RC frame when subjected to the mainshocks only or the mainshock-aftershock sequences, which demonstrates the advantages of the SC frame over the RC frame. For both the SC and RC frames, the influence of as-recorded aftershocks on the drift demand hazards is small. It is shown that artificial aftershocks can produce notably increased drift demand hazards of the RC frame, while the incremental effect of artificial aftershocks on the drift demand hazards of the SC frame is much smaller. It is also found that aftershock polarity does not influence the drift demand hazards of both the SC and RC frames.

Precise dynamic finite element elastic-plastic seismic analysis considering welds for nuclear power plants

  • Kim, Jong-Sung;Jang, Hyun-Su
    • Nuclear Engineering and Technology
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    • 제54권7호
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    • pp.2550-2563
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    • 2022
  • This study performed a precise dynamic finite element time history elastic-plastic seismic analysis considering the welds, which have been not considered in design stage, on the nuclear components subjected to severe seismic loadings such as beyond-design basis earthquakes for sustainable nuclear power plants. First, the dynamic finite element elastic-plastic seismic analysis was performed for a general design practice that does not take into account the welds of the pressurizer surge line system, one of safety class I components in nuclear power plants, and then the reference values for the accumulated equivalent plastic strain, equivalent plastic strain, and von Mises effective stress were set. Second, the dynamic finite element elastic-plastic seismic analyses were performed for the case of considering only the mechanical strength over-mismatch of the welds as well as for the case of considering both the strength over-mismatch and welding residual strain. Third, the effects of the strength over-mismatch and welding residual strain were analyzed by comparing the finite element analysis results with the reference values. As a result of the comparison, it was found that not considering the strength over-mismatch may lead to conservative assessment results, whereas not considering the welding residual strain may be non-conservative.

동적포지모델기반 고장진단 시스템의 설계 (Design on Fult Diagnosis System based on Dynamic Fuzzy Model)

  • 배상욱
    • 한국지능시스템학회논문지
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    • 제10권2호
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    • pp.94-102
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    • 2000
  • 본 논문에서는 미지의 비선형 계통에 대한 동적 퍼지모델 기반 고장 검출 및 진단(FDI) 계통 설계 기법을 제시한다. 비선형 계통에 대한 일반적인 모델 기반 FDI 계통에서는 선형화된 모델을 이용하고 있다 이러한 방법은 계통에 대한 정확한 수학적 모델을 요구하게 되어 복잡한 비선형 계통에의 적용시 많은 어려움이 있다 제안되는 FDI계통에서는 미지의 비선형 계통을 다수의 선형 모델을 갖는 동적 퍼지모델 형태로 식별한다. 잔차벡터는 온라인 알고리즘에 의해 추정되는 파라미터의 변동치와 비선형 계통의 동작 영역을 나타내는 퍼지 규칙들의 소속값들로 구성된다. 계통의 고장 검출 및 진단은 잔차벡터와 고장종류간의 관계를 학습한 신경망 분류기에 의해 수행된다. 제안된 FDI 계통 설계법을 이용하여 2 탱크 계통에 대한 FDI 계통을 설계하고 시뮬레이션 연구를 통하여 그 유용성을 보였다.

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Classroom Roll-Call System Based on ResNet Networks

  • Zhu, Jinlong;Yu, Fanhua;Liu, Guangjie;Sun, Mingyu;Zhao, Dong;Geng, Qingtian;Su, Jinbo
    • Journal of Information Processing Systems
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    • 제16권5호
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    • pp.1145-1157
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    • 2020
  • A convolution neural networks (CNNs) has demonstrated outstanding performance compared to other algorithms in the field of face recognition. Regarding the over-fitting problem of CNN, researchers have proposed a residual network to ease the training for recognition accuracy improvement. In this study, a novel face recognition model based on game theory for call-over in the classroom was proposed. In the proposed scheme, an image with multiple faces was used as input, and the residual network identified each face with a confidence score to form a list of student identities. Face tracking of the same identity or low confidence were determined to be the optimisation objective, with the game participants set formed from the student identity list. Game theory optimises the authentication strategy according to the confidence value and identity set to improve recognition accuracy. We observed that there exists an optimal mapping relation between face and identity to avoid multiple faces associated with one identity in the proposed scheme and that the proposed game-based scheme can reduce the error rate, as compared to the existing schemes with deeper neural network.

VOICE CONTROL SYSTEM FOR TELEVISION SET USING MASKING MODEL AS A FRONT-END OF SPEECH RECOGNIZER

  • Usagawa, Tsuyoshi;Iwata, Makoto;Ebata, Masanao
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1994년도 FIFTH WESTERN PACIFIC REGIONAL ACOUSTICS CONFERENCE SEOUL KOREA
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    • pp.991-996
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    • 1994
  • Surrounding noise often affects the performance of speech recognition system when it is used in office or home. Especially situation is more serious when colored and nonstational noise such as an sound from television or other audio equipment is introduced. The authors proposed a voice control system for television set using an adaptive noise canceler, and it works well even is sound of television set has comparable level of speech. In this paper, a new front-end of speech recognition is introduced for the voice control system. This font-end utilizes a simplified masking model to reduce the effect of residual noise. According to experimental results, 90% correct recognition is achieved even if the level of television sound is almost 15dB higher than one of speech.

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돌기형 저항체를 설치한 앵커의 인발저항거동 (Pull-out Resistance Behavior of the Anchor with the Bump Type Resistors)

  • 유민구;이상덕
    • 한국지반공학회논문집
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    • 제33권11호
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    • pp.35-43
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    • 2017
  • 본 연구에서는 정착부 표면에 저항체를 설치한 앵커의 인발거동특성을 모형시험을 통해 규명하였다. 모형시험은 원형의 토조 중앙에 앵커체를 설치한 후 앵커를 등속으로 인발하면서 인발저항력을 측정하였다. 본 연구에서는 앵커형식(저항체 설치 유무), 앵커체 표면의 마찰조건($1/3{\phi}$, $2/3{\phi}$, ${\phi}$)과 돌기형 저항체 개수(1set, 2set, 4set), 돌기형 저항체 높이(0.05d, 0.10d, 0.20d) 등 총 10가지의 조건에 대하여 인발시험을 실시하였다. 인발시에는 일정한 속도(1mm/min)를 유지하였으며, 최대 80mm까지 인발하여 각 조건별 인발하중 및 변위를 측정하였다. 인발시험 결과 확장형 앵커는 마찰형 앵커와 비교하여 최대 인발저항력 뿐만 아니라 잔류 인발저항력도 크게 발생하는 것으로 분석되었다. 돌기형 저항체의 설치개수 증가에 따라 최대 인발저항력이 증가하였으며, 잔류 저항력 비율은 171~591%로 마찰형 앵커에 비해 현저하게 증가하였다.

유한요소해석과 다변수해석에 의한 선상가열 변형관계식 (Relations between Input Parameters and Residual Deformation in Line Heating process using Finite Element Analysis and Multi-Variate Analysis)

  • 이장현;신종계
    • 대한조선학회논문집
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    • 제39권2호
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    • pp.69-80
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    • 2002
  • 선박의 곡외판은 냉간가공과 열간가공(선상가열) 과정을 거쳐 제작된다. 선상가열의 자동화 및 기계화에 대한 연구가 다양하게 수행되어 오고 있다. 특히 가열조건과 잔류 변형 사이의 관계규명은 자동화 및 기계화를 위한 주요 요소로 생각된다. 본 연구는 그러한 관계를 규명하기 위하여 일련의 체계적인 과정을 제시하고 관계식을 제안하였다. 선상가열에 의한 변형은 3차원 열탄소성 변형현상으로 정식화될 수 있으며, 열탄소성 변형현상을 유한요소해석을 이용하여 다양한 가열조건에 대한 수치해석을 수행하였다. 유한요소법의 유용성을 검증하기 위하여 실험을 수행하였고 그 유용성을 확인하였다 변형관계식에 사용된 입력변수는 차원해석을 통하여 선정하였다. 유한요소법을 이용하여 얻어진 결과를 활용하여 선상가열에 의한 변형관계식을 추정하기 위하여 다변수해석과 다차원 보관과정을 예시하였다. 일련의 과정을 통하여 본 연구는 선상가열의 가열조건과 잔류 변형 사이의 관계식을 선정하기 위한 방법을 제안하였다.