• 제목/요약/키워드: Tensor Analysis

검색결과 271건 처리시간 0.024초

Analysis of Contact Force in Eddy-current System Using the Virtual Air-Gap Concept

  • Park, Byung Su;Kim, Hwi Dae;Choi, Hong Soon;Park, Il Han
    • Journal of Electrical Engineering and Technology
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    • 제10권3호
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    • pp.1349-1355
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    • 2015
  • It is difficult to calculate the magnetic force of an object of magnetic material in contact with other objects using the existing methods, such as Maxwell stress tensor method, magnetic charge method, or magnetizing current method. These methods are applicable for force computation only when the object is surrounded by air. The virtual air-gap concept has been proposed for calculating the contact force. However, its application is limited to magneto-static system. In this paper, we present the virtual air-gap concept for contact surface force in the eddy-current system. Its validity and usefulness are shown by comparison between numerical and experimental examples.

Nonlinear and linear thermo-elastic analyses of a functionally graded spherical shell using the Lagrange strain tensor

  • Arefi, Mohammad;Zenkour, Ashraf M.
    • Smart Structures and Systems
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    • 제19권1호
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    • pp.33-38
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    • 2017
  • This research tries to present a nonlinear thermo-elastic solution for a functionally graded spherical shell subjected to mechanical and thermal loads. Geometric nonlinearity is considered using the Lagrange or finite strain tensor. Non-homogeneous material properties are considered based on a power function. Adomian's decomposition method is used for calculation of nonlinear results. Nonlinear results such as displacement can be evaluated for sphere in terms of different indexes of non-homogeneity. A comprehensive comparison between linear and nonlinear results and evaluation of the percentage of difference between them can be performed in this paper. The obtained results indicate that the improvement of the results due to usage of nonlinear analysis is depending on the non-homogeneous index.

Semantic Feature Analysis for Multi-Label Text Classification on Topics of the Al-Quran Verses

  • Gugun Mediamer;Adiwijaya
    • Journal of Information Processing Systems
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    • 제20권1호
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    • pp.1-12
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    • 2024
  • Nowadays, Islamic content is widely used in research, including Hadith and the Al-Quran. Both are mostly used in the field of natural language processing, especially in text classification research. One of the difficulties in learning the Al-Quran is ambiguity, while the Al-Quran is used as the main source of Islamic law and the life guidance of a Muslim in the world. This research was proposed to relieve people in learning the Al-Quran. We proposed a word embedding feature-based on Tensor Space Model as feature extraction, which is used to reduce the ambiguity. Based on the experiment results and the analysis, we prove that the proposed method yields the best performance with the Hamming loss 0.10317.

Tensor-Based Channel Estimation Approach for One-Way Multi-Hop Relaying Communications

  • Li, Shuangzhi;Mu, Xiaomin;Guo, Xin;Yang, Jing;Zhang, Jiankang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권12호
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    • pp.4967-4986
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    • 2015
  • Multi-hop relaying communications have great potentials in improving transmission performance by deploying relay nodes. The benefit is critically dependent on the accuracy of the channel state information (CSI) of all the transmitting links. However, the CSI has to be estimated. In this paper, we investigate the channel estimation problem in one-way multi-hop MIMO amplify-and-forward (AF) relay system, where both the two-hop and three-hop communication link exist. Traditional point-to-point MIMO channel estimation methods will result in error propagation in estimating relay links, and separately tackling the channel estimation issue of each link will lose the gain as part of channel matrices involved in multiple communication links. In order to exploit all the available gains, we develop a novel channel estimation model by structuring different communication links using the PARAFAC and PARATUCK2 tensor analysis. Furthermore, a two-stage fitting algorithm is derived to estimate all the channel matrices involved in the communication process. In particular, essential uniqueness is further discussed. Simulation results demonstrate the advantage and effectiveness of the proposed channel estimator.

브레이드 프리폼의 투과율 계수 예측 (Prediction of Permeability for Braided Preform)

  • Youngseok Song;Youn, Jae-Roun
    • 한국복합재료학회:학술대회논문집
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    • 한국복합재료학회 2003년도 춘계학술발표대회 논문집
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    • pp.184-187
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    • 2003
  • Complete prediction of second order permeability tensor for three dimensional circular braided preform is critical to understand the resin transfer molding process of composites. The permeability can be predicted by considering resin flow through the multi-axial fiber structure. In this study, permeability tensor for a 3-D circular braided preform is calculated by solving a boundary problem of a periodic unit cell. Flow field through the unit cell is obtained by using a 3-D finite volume method (FVM) and Darcy's law is utilized to obtain permeability tensor. Flow analysis for two cases that a fiber tow is regarded as impermeable solid and permeable porous medium is carried out respectively. It is found that the flow within the intra-tow region of the braided preform is negligible if inter-tow porosity is relatively high but the flow through the tow must be considered when the porosity is low. To avoid checkerboard pressure field and improve the efficiency of numerical computation, a new interpolation function for velocity variation is proposed on the basis of analytic solutions. Permeability of the braided preform is measured through a radial flow experiment and compared with the permeability predicted numerically.

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중대뇌동맥 허혈에 의한 파페츠 회로 손상과 작화증 (Confabulation Following Injury of the Papez Circuit as a Result of Middle Cerebral Artery Infarction: A Diffusion Tensor Tractography Study)

  • 여상석
    • PNF and Movement
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    • 제14권1호
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    • pp.41-47
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    • 2016
  • Purpose: In general, confabulation is defined as confusion of reality with past events without apparent prompting, in association with disruption of the capacity for retrieval and encoding of memory. We report on a patient who showed spontaneous confabulation associated with injury of the Papez circuit following middle cerebral artery (MCA) infarction. Methods: A 67-year-old female patient suffered cerebral infarct resulting from spontaneous MCA territory. After onset of the MCA infarct, she showed severe memory impairment and provoked confabulation. The Papez circuit was reconstructed for evaluation of part of it using diffusion tensor tractography (DTT). Fractional anisotropy (FA), mean diffusivity (MD), and tract volume were measured. Results: The right thalamocingulate tract showed a significant decrement of FA value and tract volume, and an increment of MD value by more than two standard deviations of that of normal control subjects. The tract volume in the left fornix and mammillothalamic tract decreased by more than two standard deviations of that of normal control subjects. Conclusion: Injuries of the Papez circuit were demonstrated in a patient who showed severe memory impairment and provoked confabulation following MCA infarct. We believe that analysis of the Papez circuit tract using DTT is useful in elucidating the cause of provoked confabulation in patients with MCA infarct.

텐서플로우 기반의 기계학습 보안 프로그램 (Machine-Learning Anti-Virus Program Based on TensorFlow)

  • 윤성권;박태용
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2016년도 춘계학술대회
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    • pp.441-444
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    • 2016
  • 최근 북한은 핵실험, 미사일 발사 등 물리적 도발은 물론 고위 공직자에 대한 스마트폰 해킹, 금융권에 대한 디도스(DDoS) 공격 등 사이버 테러를 감행하며 한반도 내 위협의 수위를 높이고 있다. 취약점에 대한 해킹, 악성코드 배포 등을 통해 이루어지는 사이버 공격은 일반적으로 최초의 침입과 공격 징후가 감지된 후 데이터 분석을 통해 백신의 라이브러리 추가 및 업데이트, 보안 취약성을 보완하는 등 소극적인 대응 방법을 취하고 있다. 본 논문에서는 프로그램 스스로 취약점을 분석하고 자가 라이브러리 추가, 보안 취약점 해결 등을 수행하는 구글 텐서플로우(TensorFlow) 기반의 기계학습 능력을 갖춘 보안 프로그램에 관한 개념을 연구하고 제안하였다.

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AUDIT-K 척도에 따른 뇌 이랑 부위의 확산텐서 비등방도 측정값 분석 (Analysis of Fractional Anisotropy Measurements of Diffusion Tensor Images in the Gyrus of the Brain by AUDIT-K Scale)

  • 곽종혁;김경립;조희정;이은숙;성순기
    • 한국콘텐츠학회논문지
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    • 제19권7호
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    • pp.176-185
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    • 2019
  • AUDIT-K 척도에 따른 중년남성을 대상으로 뇌 회백질의 손상 유무를 파악 할 수 있는 확산텐서영상을 검사하여 영상을 획득 한 후 Tract-Based Spatial Statics(TBSS)방법으로 뇌 회백질 부위의 이랑(Gyrus) 신경 섬유로의 비등방도 FA(fractional anisotropy)값을 측정 분석한 결과 모든 영역에서 정상 음주자가 알코올 사용 장애 추정자보다 FA값이 낮게 측정되었으며 통계적으로 유의하였다. 본 연구의 측정한 FA결과 값으로 추측하자면 즉, 알코올 사용이 뇌 회백질 부위의 이랑(Gyrus) 계측한 해부학적 미세 구조성 변화에 크게 영향을 미치며 신경 섬유로를 손상시키고 이와 관련된 기능적 이상에 영향을 준다고 할 수 있다.

경상분지 백악기 화강암 암반에 대한 삼차원 수리전도텐서 추정사례 (Estimation of 3-D Hydraulic Conductivity Tensor for a Cretaceous Granitic Rock Mass: A Case Study of the Gyeongsang Basin, Korea)

  • 엄정기;이다혜
    • 지질공학
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    • 제32권1호
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    • pp.41-57
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    • 2022
  • 본 연구는 부산 기장지역에 분포하는 백악기 흑운모 화강암에 대한 사례연구를 통하여 DFN(discrete fracture network) 유동해석 기반의 REV(representative elementary volume) 크기 및 삼차원 수리전도텐서 추정을 위한 워크플로우를 제시하였다. 연구지역을 대표하는 이차원 DFN에 대하여 절리텐서의 일차불변량을 이용하여 절리의 빈도 및 길이가 보정되었다. 현장수압시험을 수행하여 선형의 등가유로관으로 취급된 현장의 절리에 대한 유효수리간극이 추정되었다. 연구지역의 이차원 DFN 블록에 대한 REV의 크기는 블록 크기에 따른 지향적 블록수리전도도의 변화를 분석하여 20 m × 20 m으로 결정하였다. 연구지역의 이차원 DFN에 대하여 산정된 지향적 블록수리전도도는 현장의 수리적 거동과 관련하여 강한 이방성을 지시한다. 다양한 방향으로의 이차원 DFN에서 산정된 지향적 블록수리전도도를 바탕으로 연구지역의 절리성 암반에 대한 삼차원 수리전도텐서가 추정되었다. 삼차원 수리전도텐서의 주성분 방향은 현장에서 구분된 주 절리군의 방향과 일치한다.