• 제목/요약/키워드: non-representation

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정렬되지 않은 3차원 거리 데이터로부터의 NURBS 곡면 모델 생성 기법 (On Constructing NURBS Surface Model from Scattered and Unorganized 3-D Range Data)

  • 박인규;윤일동;이상욱
    • 대한전자공학회논문지SP
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    • 제37권3호
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    • pp.17-30
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    • 2000
  • 본 논문에서는 NURBS (Non-Uniform Rational B-Splines) 곡면 근사에 기반하여 거리 데이터로부터 3차원 곡면 모델을 생성하는 기법을 제안한다 입력으로 이용되는 거리 데이터는 연결 정보가 알려지지 않고 정렬되지 않은 일반적인 3차원 점들의 집합으로 가정한다 제안하는 알고리듬은 초기 모델 추정, 계층적 모델 표현, NURBS 곡면 네트워크 생성의 3단계로 나뉘어진다 초기 모델 추정 단계에서는 K-평균 군집화 기법을 이용하여 다각형면과 삼각형으로 표현되는 근사 모델을 생성하고, 계층적 트리 구조를 이용하여 초기 모델을 표현한다. 계층적 트리 구조로 부터 생성된 사각형면 모델에 의하여 $G^1$ 연속인 NURBS 곡면 네트워크를 효율적으로 생성한다. 제안하는 알고리듬은 초기 모델의 계층적 그래프 해석을 통하여 곡면 네트워크 형성에 필요한 계산량을 감소시켰으며, 또한 정확한 NURBS 제어점 추정을 통하여 근사 오차를 감소시킨다. 모의 실험 결과 거리 데이터로 부터 초기 모델과 다양한 해상도의 NURBS 곡면 네트워크가 효과적으로 생성되었으며 생성된 NURBS 곡면 모델의 근사 오치는 무시할 수 있는 수준임이 관찰되었다.

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Multimodal Biometrics Recognition from Facial Video with Missing Modalities Using Deep Learning

  • Maity, Sayan;Abdel-Mottaleb, Mohamed;Asfour, Shihab S.
    • Journal of Information Processing Systems
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    • 제16권1호
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    • pp.6-29
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    • 2020
  • Biometrics identification using multiple modalities has attracted the attention of many researchers as it produces more robust and trustworthy results than single modality biometrics. In this paper, we present a novel multimodal recognition system that trains a deep learning network to automatically learn features after extracting multiple biometric modalities from a single data source, i.e., facial video clips. Utilizing different modalities, i.e., left ear, left profile face, frontal face, right profile face, and right ear, present in the facial video clips, we train supervised denoising auto-encoders to automatically extract robust and non-redundant features. The automatically learned features are then used to train modality specific sparse classifiers to perform the multimodal recognition. Moreover, the proposed technique has proven robust when some of the above modalities were missing during the testing. The proposed system has three main components that are responsible for detection, which consists of modality specific detectors to automatically detect images of different modalities present in facial video clips; feature selection, which uses supervised denoising sparse auto-encoders network to capture discriminative representations that are robust to the illumination and pose variations; and classification, which consists of a set of modality specific sparse representation classifiers for unimodal recognition, followed by score level fusion of the recognition results of the available modalities. Experiments conducted on the constrained facial video dataset (WVU) and the unconstrained facial video dataset (HONDA/UCSD), resulted in a 99.17% and 97.14% Rank-1 recognition rates, respectively. The multimodal recognition accuracy demonstrates the superiority and robustness of the proposed approach irrespective of the illumination, non-planar movement, and pose variations present in the video clips even in the situation of missing modalities.

Seismic fragility evaluation of arch concrete dams through nonlinear incremental analysis using smeared crack model

  • Moradloo, Javad;Naserasadi, Kiarash;Zamani, Habib
    • Structural Engineering and Mechanics
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    • 제68권6호
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    • pp.747-760
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    • 2018
  • In the present study, a methodology for developing fragilities of arch concrete dams to assess their performance against seismic hazards is introduced. Firstly, the probability risk and fragility curves are presented, followed by implementation and representation of the way this method is used. Amirkabir arch concrete dam was subjected to non-linear dynamic analyses. A modified three dimensional rotating smeared crack model was used to take the nonlinear behavior of mass concrete into account. The proposed model considers major characteristics of mass concrete. These characteristics are pre-softening behavior, softening initiation criteria, fracture energy conservation, suitable damping mechanism and strain rate effect. In the present analysis, complete fluid-structure interaction is included to account for appropriate fluid compressibility and absorptive reservoir boundary conditions. In this study, the Amirkabir arch concrete dam is subjected to a set of 8 three-component earthquakes each scaled to 10 increasing intensity levels. Using proposed nonlinear smeared crack model, nonlinear analysis is performed where the structure is subjected to a large set of scaled and un-scaled ground motions and the maximum responses are extracted for each one and plotted. Based on the results, fragility curves were plotted according to various and possible damages indexes. Discrete damage probabilities were calculated using statistical methods for each considered performance level and incremental nonlinear analysis. Then, fragility curves were constructed based on the lognormal distribution assumption. Two damage indexes were introduced and compared to one another. The results indicate that the dam has a proper stability under earthquake conditions at MCE level. Moreover, displacement damages index is more conservative and impractical in the fragility analysis than tensional damage index.

Performance Analysis of GNSS Residual Error Bounding for QZSS CLAS

  • Yebin Lee;Cheolsoon Lim;Yunho Cha;Byungwoon Park;Sul Gee Park;Sang Hyun Park
    • Journal of Positioning, Navigation, and Timing
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    • 제12권3호
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    • pp.215-228
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    • 2023
  • The State Space Representation (SSR) method provides individual corrections for each Global Navigation Satellite System (GNSS) error components. This method can lead to less bandwidth for transmission and allows selective use of each correction. Precise Point Positioning (PPP) - Real-Time Kinematic (RTK) is one of the carrier-based precise positioning techniques using SSR correction. This technique enables high-precision positioning with a fast convergence time by providing atmospheric correction as well as satellite orbit and clock correction. Currently, the positioning service that supports PPP-RTK technology is the Quazi-Zenith Satellite System Centimeter Level Augmentation System (QZSS CLAS) in Japan. A system that provides correction for each GNSS error component, such as QZSS CLAS, requires monitoring of each error component to provide reliable correction and integrity information to the user. In this study, we conducted an analysis of the performance of residual error bounding for each error component. To assess this performance, we utilized the correction and quality indicators provided by QZSS CLAS. Performance analyses included the range domain, dispersive part, non-dispersive part, and satellite orbit/clock part. The residual root mean square (RMS) of CLAS correction for the range domain approximated 0.0369 m, and the residual RMS for both dispersive and non-dispersive components is around 0.0363 m. It has also been confirmed that the residual errors are properly bounded by the integrity parameters. However, the satellite orbit and clock part have a larger residual of about 0.6508 m, and it was confirmed that this residual was not bounded by the integrity parameters. Users who rely solely on satellite orbit and clock correction, particularly maritime users, thus should exercise caution when utilizing QZSS CLAS.

Calculus of the defect severity with EMATs by analysing the attenuation curves of the guided waves

  • Gomez, Carlos Q.;Garcia, Fausto P.;Arcos, Alfredo;Cheng, Liang;Kogia, Maria;Papelias, Mayorkinos
    • Smart Structures and Systems
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    • 제19권2호
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    • pp.195-202
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    • 2017
  • The aim of this paper is to develop a novel method to determine the severity of a damage in a thin plate. This paper presents a novel fault detection and diagnosis approach employing a new electromagnetic acoustic transducer, called EMAT, together with a complex signal processing method. The method consists in the recognition of a fault that exists within the structure, the fault location, i.e. the identification of the geometric position of damage, and the determining the significance of the damage, which indicates the importance or severity of the defect. The main scientific novelties presented in this paper is: to develop of a new type of electromagnetic acoustic transducer; to incorporate wavelet transforms for signal representation enhancements; to investigate multi-parametric analysis for noise identification and defect classification; to study attenuation curves properties for defect localization improvement; flaw sizing and location algorithm development.

B-스플라인 고차패널법에 의한 3차원 포텐셜 유동 해석 (A B-Spline Higher Order Panel Method for Analysis of Three Dimensional Potential Flow)

  • 김건도;황의상;이창섭
    • 대한조선학회논문집
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    • 제37권2호
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    • pp.57-69
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    • 2000
  • 기하학적 형상과 유동의 해를 B-스플라인으로 표현하는 3차원 고차 패널법은 프로펠러 주위의 유동을 해석하기 위해 개발되었다. 제어점이 패널내에 놓이는 경우, 고차의 다이폴과 쏘오스에 의해 유기되는 자기 유기 포텐셜의 특이 거동은 2차 변환(quadratic transformation)을 통하여 제거하였으며, 특이 부분은 해석적인 적분으로 비특이 부분은 정도 높은 Gauss 구적법으로 계산함으로써 유기 포텐셜을 정도 높게 구할 수 있음을 보였다. 또한, 날개 뒷날에서의 압력 점프의 값이 명시적으로 영이 되도록하는 동역학적 Kutta 조건식을 도입하고, 이의 적용이 안정된 해를 보장함을 확인하였다. 수치 실험을 통하여, 제안된 수치해석 기법이 안정적이고 정확한 해를 줌을 확인하였으며, 특히 저차 패널법과 비교하여 적은 수의 패널로 동일한 정도의 해를 유지할 수 있음을 보였다.

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DEA와 BSC 기법을 이용한 조직 효율성 비교에 대한 연구 (A Combined DEA-BSC methodology for evaluating organizational efficiency)

  • 김범수;장태우;신기태;박진우
    • 산업경영시스템학회지
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    • 제28권2호
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    • pp.18-26
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    • 2005
  • The balanced scorecard(BSC) overcomes the limit of traditional financial statement that focuses on only financial performance. BSC is widely used in government and industry because of the clear representation of the relationship and logic between the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process, and loaming and growth. However, traditional BSC does not consider evaluating the difference between the results measured by BSC. By using relatively small number of inputs and outputs In comparing decision-making units, data envelopment analysis(DEA) can aggregate multiple performance measures. In this research, we propose a methodology named CDB(Combined DEA and BSC) to evaluate the performance of organization considering financial and non-financial perspectives. CDB uses KPI of cause-and-effect relationship on BSC as inputs and outputs of DEA method. In addition, this research proposes a method of converting the KPI of BSC to the input and output variables of DEA, and enhancing discrimination power using the limit number of variables. We illustrate the methodology by giving an example of evaluating aquisition-unit efficiency in a supply chain.

Residents' Preference for Spatial Features in Sitting Areas at Assisted Living Facilities - Focused on direct or indirect social interaction for older adults -

  • Lee, Min-Ah;Rodiek, Susan D.
    • International Journal of Human Ecology
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    • 제14권1호
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    • pp.87-102
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    • 2013
  • This study investigated residents' preferences for spatial features of sitting areas in assisted living facilities, and provides recommendations for planning sitting areas to support residents' spatial preferences and social interaction. The study participants were 69 residents of eight assisted living facilities (30+ resident capacity), located in south central Texas. A photographic comparison method was used, in which residents were shown 20 matched pairs of photos, with a single feature digitally modified in each pair, and asked to select which environmental representation they preferred. The hypothesized spatial characteristics were identified in practice based literature as those that may encourage usage of sitting areas: viewability, variety, homelikeness, and privacy. Most of the hypothesized features were preferred by participants, with the highest preference found for non-institutional furniture arrangements and naturalness, followed by increasing enclosure and variety of seating. Preference was less significant for domestic cues such as carpeted floors, divided light windows, and boundaries defined by different colored material or columns, possibly due to their physical impairments or preference for visual openness. Participants' level of mobility assistance was significantly related to their preference for some features, such as seating with people-watching capability, and carpeted floors. The findings have implications for facility architects and administrators engaged in resident-oriented spatial planning.

공과대학 신입생의 사고양식을 고려한 글쓰기 능력 탐색 (Exploration on Writing Ability Considering Thinking Styles in Engineering Freshmen)

  • 황순희
    • 공학교육연구
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    • 제21권1호
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    • pp.56-65
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    • 2018
  • This research aims to explore the relationships between academic writing ability and 'thinking styles' (capable of representing individual differences and diversity) in engineering freshmen in Korea, and to draw educational implications for the development of instructional strategies. (Academic) Writing is not just about conveying an idea or content, it is also about the representation of writer's self. In this perspective, there has been some research conducted on writing (process) and personality. However, to date, little attention has been paid to writing ability of engineering students and its relationships with thinking styles. This study was conducted with 127 engineering freshmen as well as 67 non-engineering freshmen at H University, and students' writing ability as well as their thinking styles have been measured before and after writing class for 15 weeks. Our findings show that firstly, there was a significant difference of writing ability by majors. Second, there were significant differences in freshmen's thinking styles by majors. Third, there was significant differences of writing ability according to thinking styles. Freshmen's internal, legislative and hierarchical styles scored significantly higher in writing ability than the others. And as for the engineering freshmen, internal, external and global styles scored significantly higher in writing ability than the others. Finally, there was a weak but significant relationship between writing ability and thinking styles(hierarchical & internal). These findings are expected to provide an explanation for the development of instructional strategies of writing (related) courses in engineering school.