• 제목/요약/키워드: Intermediate Feature

검색결과 87건 처리시간 0.026초

POINTWISE CROSS-SECTION-BASED ON-THE-FLY RESONANCE INTERFERENCE TREATMENT WITH INTERMEDIATE RESONANCE APPROXIMATION

  • BACHA, MEER;JOO, HAN GYU
    • Nuclear Engineering and Technology
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    • 제47권7호
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    • pp.791-803
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    • 2015
  • The effective cross sections (XSs) in the direct whole core calculation code nTRACER are evaluated by the equivalence theory-based resonance-integral-table method using the WIMS-based library as an alternative to the subgroup method. The background XSs, as well as the Dancoff correction factors, were evaluated by the enhanced neutron-current method. A method, with pointwise microscopic XSs on a union-lethargy grid, was used for the generation of resonance-interference factors (RIFs) for mixed resonant absorbers. This method was modified by the intermediate-resonance approximation by replacing the potential XSs for the non-absorbing moderator nuclides with the background XSs and neglecting the resonance-elastic scattering. The resonance-escape probability was implemented to incorporate the energy self-shielding effect in the spectrum. The XSs were improved using the proposed method as compared to the narrow resonance infinite massbased method. The RIFs were improved by 1% in $^{235}U$, 7% in $^{239}Pu$, and >2% in $^{240}Pu$. To account for thermal feedback, a new feature was incorporated with the interpolation of pre-generated RIFs at the multigroup level and the results compared with the conventional resonance-interference model. This method provided adequate results in terms of XSs and k-eff. The results were verified first by the comparison of RIFs with the exact RIFs, and then comparing the XSs with the McCARD calculations for the homogeneous configurations, with burned fuel containing a mixture of resonant nuclides at different burnups and temperatures. The RIFs and XSs for the mixture showed good agreement, which verified the accuracy of the RIF evaluation using the proposed method. The method was then verified by comparing the XSs for the virtual environment for reactor applicationbenchmark pin-cell problem, as well as the heterogeneous pin cell containing burned fuel with McCARD. The method works well for homogeneous, as well as heterogeneous configurations.

기계학습기법에 기반한 국제 유가 예측 모델 (Oil Price Forecasting Based on Machine Learning Techniques)

  • 박강희;;신현정
    • 대한산업공학회지
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    • 제37권1호
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    • pp.64-73
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    • 2011
  • Oil price prediction is an important issue for the regulators of the government and the related industries. When employing the time series techniques for prediction, however, it becomes difficult and challenging since the behavior of the series of oil prices is dominated by quantitatively unexplained irregular external factors, e.g., supply- or demand-side shocks, political conflicts specific to events in the Middle East, and direct or indirect influences from other global economical indices, etc. Identifying and quantifying the relationship between oil price and those external factors may provide more relevant prediction than attempting to unclose the underlying structure of the series itself. Technically, this implies the prediction is to be based on the vectoral data on the degrees of the relationship rather than the series data. This paper proposes a novel method for time series prediction of using Semi-Supervised Learning that was originally designed only for the vector types of data. First, several time series of oil prices and other economical indices are transformed into the multiple dimensional vectors by the various types of technical indicators and the diverse combination of the indicator-specific hyper-parameters. Then, to avoid the curse of dimensionality and redundancy among the dimensions, the wellknown feature extraction techniques, PCA and NLPCA, are employed. With the extracted features, a timepointspecific similarity matrix of oil prices and other economical indices is built and finally, Semi-Supervised Learning generates one-timepoint-ahead prediction. The series of crude oil prices of West Texas Intermediate (WTI) was used to verify the proposed method, and the experiments showed promising results : 0.86 of the average AUC.

ACCRETION FLOW AND DISPARATE PROFILES OF RAMAN SCATTERED O VI λλ 1032, 1038 IN THE SYMBIOTIC STAR V1016 CYGNI

  • Heo, Jeong-Eun;Lee, Hee-Won
    • 천문학회지
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    • 제48권2호
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    • pp.105-112
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    • 2015
  • The symbiotic star V1016 Cygni, a detached binary system consisting of a hot white dwarf and a mass-losing Mira variable, shows very broad emission features at around 6825 Å and 7082 Å, which are Raman scattered O vi λλ 1032, 1038 by atomic hydrogen. In the high resolution spectrum of V1016 Cyg obtained with the Bohyunsan Optical Echelle Spectrograph these broad features exhibit double peak profiles with the red peak stronger than the blue counterpart. However, their profiles differ in such a way that the blue peak of the 7082 feature is relatively weaker than the 6825 counterpart when the two Raman features are normalized to exhibit an equal red peak strength in the Doppler factor space. Assuming that an accretion flow around the white dwarf is responsible for the double peak profiles, we attribute this disparity in the profiles to the local variation of the flux ratio of O vi λλ 1032, 1038 in the accretion flow. A Monte Carlo technique is adopted to provide emissivity maps showing the local emissivity of O vi λ1032 and O vi λ1038 in the vicinity of the white dwarf. We also present a map indicating the differing flux ratios of O vi λλ 1032 and 1038. Our result shows that the flux ratio reaches its maximum of 2 in the emission region responsible for the central trough of the Raman feature and that the flux ratio in the inner red emission region is almost 1. The blue emission region and the outer red emission region exhibit an intermediate ratio around 1.5. We conclude that the disparity in the profiles of the two Raman O vi features strongly implies accretion flow around the white dwarf, which is azimuthally asymmetric.

특성맵 차분을 활용한 커널 기반 비디오 프레임 보간 기법 (Kernel-Based Video Frame Interpolation Techniques Using Feature Map Differencing)

  • 서동혁;고민성;이승학;박종혁
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제13권1호
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    • pp.17-27
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    • 2024
  • 비디오 프레임 보간(Video Frame Interpolation)은 움직임의 연속성을 증가시켜 영상을 부드럽게 재생할 수 있어 영상, 미디어 분야에서 사용되는 중요한 기술이다. 딥러닝 기반 비디오 프레임 보간 연구에서 널리 사용되는 방법 중 하나인 커널 기반 방법(Kernel Based Method)의 경우, 지역적인 변화를 잘 포착하지만 전체적인 변화를 처리하는 데 한계가 있었다. 이에 본 논문에서는 주요 변화 포착에 집중하기 위한 특성맵 차분, Two Direction을 적용한 새로운 U-Net 구조를 통해 파라미터 수를 줄이면서 중간 프레임을 보다 정확하게 생성하고자 한다. 실험 결과 제안한 구조가 기존보다 Vimeo, Middle-burry 등의 일반적인 데이터셋과 새로운 YouTube 데이터셋에서 기존 모델보다 약 61% 더 적은 파라미터로 PSNR 수치가 최대 0.3 우수한 성능을 달성하였다. 본 논문에서 사용한 코드는 https://github.com/Go-MinSeong/SF-AdaCoF에서 확인 가능하다.

NEAR-INFRARED PAH FEATURES IN GALACTIC PLANETARY NEBULAE

  • Ohsawa, R.;Onaka, O.;Sakon, I.;Mori, T. I.;Kaneda, H.;Matsuura, M.
    • 천문학논총
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    • 제32권1호
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    • pp.87-91
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    • 2017
  • Polycyclic aromatic hydrocarbons (PAHs) are considered to be carriers of the unidentified infrared bands, which are ubiquitously observed in the Universe. PAHs are mainly formed around evolved carbon-rich stars and injected into interstellar space. Planetary nebulae (PNe), a late stage of low- and intermediate stellar mass evolution, are suitable objects to investigate the formation and evolution of PAHs. The shortest PAH feature is located in $3.3{\mu}m$, which is important to examine the excitation and size distribution of PAHs. While the number of samples had been limited before, the high sensitivity of AKARI /IRC has drastically increased the number of samples. We obtained the $2-5{\mu}m$ spectra of Galactic PNe with AKARI /IRC and compiled a near-infrared spectral catalog, containing 73 PNe. We investigate the detection rate and the evolution of the PAH features. The characteristics of the catalog are illustrated and the origin of the evolution of the PAH features is discussed.

Photoemission Study on the Adsorption of Ethanol on Chemically Modified TiO2(001) Surfaces

  • Kong, Ja-Hyun;Kim, Yu-Kwon
    • Bulletin of the Korean Chemical Society
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    • 제32권8호
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    • pp.2531-2536
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    • 2011
  • Ethanol is a prototype molecule used in probing catalytic reactivity of oxide catalysts such as $TiO_2$. In the present study, we adsorbed ethanol on $TiO_2$(001) at room temperature (RT) and the corresponding bonding state of ethanol was systematically studied by x-ray photoemission spectroscopy (XPS) using synchrotron radiation. Especially, we compared $TiO_2$(001) surfaces prepared in ultra-high vacuum (UHV) with different surface treatments such as $Ar^+$-sputtering and oxidation with molecular $O_2$, respectively. We find that the saturation coverage of ethanol at RT varies depending on the amount of reduced surface defects (e.g., $Ti^{3+}$) which are introduced by $Ar^+$-sputtering. We also find that the oxidized $TiO_2$(001) surface has other type of surface defects (not related to Ti 3d state) which can dissociate ethanol for further reaction above 600 K. Our C 1s core level spectra indicate clearly resolved features for the two chemically distinct carbon atoms from ethanol adsorbed on $TiO_2$(001), showing the adsorption of ethanol proceeds without C-C bond dissociation. No other C 1s feature for a possible oxidized intermediate was observed up to the substrate temperature of 650 K.

Bayesian estimation of kinematic parameters of disk galaxies in large HI galaxy surveys

  • Oh, Se-Heon;Staveley-Smith, Lister
    • 천문학회보
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    • 제41권2호
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    • pp.62.2-62.2
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    • 2016
  • We present a newly developed algorithm based on a Bayesian method for 2D tilted-ring analysis of disk galaxies which operates on velocity fields. Compared to the conventional ones based on a chi-squared minimisation procedure, this new Bayesian-based algorithm less suffers from local minima of the model parameters even with high multi-modality of their posterior distributions. Moreover, the Bayesian analysis implemented via Markov Chain Monte Carlo (MCMC) sampling only requires broad ranges of posterior distributions of the parameters, which makes the fitting procedure fully automated. This feature is essential for performing kinematic analysis of an unprecedented number of resolved galaxies from the upcoming Square Kilometre Array (SKA) pathfinders' galaxy surveys. A standalone code, the so-called '2D Bayesian Automated Tilted-ring fitter' (2DBAT) that implements the Bayesian fits of 2D tilted-ring models is developed for deriving rotation curves of galaxies that are at least marginally resolved (> 3 beams across the semi-major axis) and moderately inclined (20 < i < 70 degree). The main layout of 2DBAT and its performance test are discussed using sample galaxies from Australia Telescope Compact Array (ATCA) observations as well as artificial data cubes built based on representative rotation curves of intermediate-mass and massive spiral galaxies.

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Mathematica를 이용한 웹기반 미적분 모듈의 개발 (Development of a Web-based Calculus module using Mathematica)

  • 전영국
    • 컴퓨터교육학회논문지
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    • 제4권2호
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    • pp.105-114
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    • 2001
  • 본 논문에서는 Mathematica를 자바 언어로 연결하는 J/Link를 이용하여 웹기반 환경에서 미적분 문제의 해를 단계별로 제시하는 모듈을 소개하였다. 이 모듈은 중하위 수준의 학생들에게 미분 문제의 해를 단계별로 제시함으로써 문제해결의 과정을 단계별로 연습할 수 있는 환경을 제공하고 있다. 또한, 학생들에게 미분 연산자를 적용할 함수와 미분된 결과 함수에 대한 그래픽 결과를 보여줌으로써 미적분 개념에 대한 이해의 폭을 넓히는 효과를 노렸다. 수학 전문가시스템인 Mathematica는 미분 문제의 해결 과정을 단계별로 제시함으로써 수학 지식을 체계적으로 제공하는 기반을 마련하고 있으며, 수학 학습용 튜토리얼 또는 CMI로 연계될 수 있는 가능성을 보여주고 있다. 또한 이 시스템은 FrontEnd에서 처리되는 수식 폰트를 자바서브릿에서 처리함으로써 웹환경에서 수식 기호를 우회적으로 구현하는 방법을 제시하고 있다.

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Magnetic resonance images of ameloblastoma

  • Kim Jae-Duk;Kim Jin-Soo
    • Imaging Science in Dentistry
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    • 제35권4호
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    • pp.207-213
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    • 2005
  • Purpose: To classify and describe the characteristic features of MRI of some ameloblastoma variants. Materials and Methods: The MR images, CT images, and panoramic radiographs in 5 cases were retrospectively examined as follows. First, the contents of ameloblastomas were devided into two portions of either solid or cystic components on the basis of MR signal intensities. The signal intensity within the solid or cystic portions was classified as homogeneous or heterogeneous. Next, the characteristic internal feature of the lesion on T1W1 or T2WI was described. The signal intensities were classified into low, intermediate, slightly high, high, and strong high signal intensity. Results: Unicystic lesion showed homogeneous high signal intensity (SI) on T2W2 and the rim enhancement of the surrounding area including the mural nodule and the thick wall except the central portion on Gd- T1W1. Solid type revealed heterogeneous and high SI area with strong high SI area on T2W2. On Gd- T1W1, the area corresponding to the low signal spot on T1W1 and the strong high signal spot on T2W1 showed low SI. Hybrid type showed slightly enhanced capsular structures and low SI for the round bony septa and the areas connecting the mixed and cystic lesions on T2Wl and Gd-T1W1. Conclusion: MRI could easily assess the relationship between the mixed and cystic findings in ameloblastoma.

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Simulations of fiber spinning and film blowing based on a molecular/continuum model for flow-induced crystallization

  • McHugh, Anthony J.;Doufas, A.K.
    • Korea-Australia Rheology Journal
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    • 제13권1호
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    • pp.1-12
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    • 2001
  • This paper describes the application of our recently developed two-phase model for flow-induced crystallization (FIC) to the simulation of fiber spinning and film blowing. 1-D and 2-D simulations of fiber spinning include the combined effects of (FIC), viscoelasticity, filament cooling, air drag, inertia, surface tension and gravity and the process dynamics are modeled from the spinneret to the take-up roll device (below the freeze point). 1-D model fits and predictions are in very good quantitative agreement with high- and low-speed spinline data for both nylon and PET systems. Necking and the associated extensional softening are also predicted. Consistent with experimental observations, the 2-D model also predicts a skin-core structure at low and intermediate spin speeds, with the stress, chain extension and crystallinity being highest at the surface. Film blowing is simulated using a "quasi-cylindrical" approximation for the momentum equations, and simulations include the combined effects of flow-induced crystallization, viscoelasticity, and bubble cooling. The effects of inflation pressure, melt extrusion temperature and take-up ratio on the bubble shape are predicted to be in agreement with experimental observations, and the location of the frost line is predicted naturally as a consequence of flow-induced crystallization. An important feature of our FIC model is the ability to predict stresses at the freeze point in fiber spinning and the frost line in film blowing, both of which are related to the physical and mechanical properties of the final product.l product.

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