• Title/Summary/Keyword: 결정론

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An Improved Joint Bayesian Method using Mirror Image's Features (미러영상 특징을 이용한 Joint Bayesian 개선 방법론)

  • Han, Sunghyu;Ahn, Jung-Ho
    • Journal of Digital Contents Society
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    • v.16 no.5
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    • pp.671-680
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    • 2015
  • The Joint Bayesian[1] method was published in 2012. Since then, it has been used for binary classification in almost all state-of-the-art face recognition methods. However, no improved methods have been published so far except 2D-JB[2]. In this paper we propose an improved version of the JB method that considers the features of both the given face image and its mirror image. In pattern classification, it is very likely to make a mistake when the value of the decision function is close to the decision boundary or the threshold. By making the value of the decision function far from the decision boundary, the proposed method reduces the errors. The experimental results show that the proposed method outperforms the JB and 2D-JB methods by more than 1% in the challenging LFW DB. Many state-of-the-art methods required tons of training data to improve 1% in the LFW DB, but the proposed method can make it in an easy way.

Microstructure and chemical composition of the CIGS films deposited using DC or RF Magnetron sputtering (DC 및 RF 마그네트론 스퍼터링을 이용하여 증착한 CIGS 박막의 미세구조 및 화학 조성 평가)

  • Jeong, Jae-Heon;Jo, Sang-Hyeon;Song, Pung-Geun
    • Proceedings of the Korean Institute of Surface Engineering Conference
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    • 2012.05a
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    • pp.202-202
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    • 2012
  • CIGS 단일 타켓을 DC 및 RF 마그네트론 스퍼터링을 이용하여 파워별로 Mo/SLG위에 증착하여 미세구조 및 화학 조성 평가를 실시하였다. 파워가 증가함에 따라 이온의 운동에너지 증가에 따라서 결정성이 향상되었음을 확인할 수 있었다. DC 마그네트론 스퍼터링의 경우 40W에서 가장 결정성이 좋았으며, RF 마그네트론 스퍼터링은 80W에서 높은 결정성을 확인할 수 있었다. 이는 DC power 40W와 RF power 80W에서 박막의 조성이 화학양론을 만족하고 grain의 성장이 잘 되었기 때문에 높은 결정성을 나타났다고 생각된다.

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Probabilistic Kinematic Analysis of Rock Slope Stability Using Terrestrial LiDAR (지상라이다를 이용한 확률론적 해석기법 기반의 운동학적 안정성 해석)

  • Hong, Seok Kwon;Park, Hyuck Jin
    • Economic and Environmental Geology
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    • v.52 no.3
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    • pp.231-241
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    • 2019
  • Kinematic analysis determines the stability of rock slope by analyzing the relationship between the slope face orientation and the discontinuity orientation. In this study, terrestrial LiDAR was used to obtain a large amount of discontinuity orientation data and then, the probabilistic characteristics of the orientation data obtained using terrestrial LiDAR were analyzed. Subsequently, the probabilistic kinematic analysis was carried out using the discontinuity orientations generated randomly from Fisher function in Monte Carlo simulation. In addition, the probabilistic kinematic analysis was also performed using the actual orientation data obtained from the terrestrial LiDAR to compare their results. Consequently, the results of both probabilistic analyses showed similar results. Therefore, if sufficient orientation data are provided by other means such as terrestrial LiDAR, the probabilistic analysis will show reasonable results using the actual field data without randomly generating orientation data. In addition, the deterministic kinematic analysis was also carried out using representative orientation of discontinuity sets. The analysis result of the probabilistic analysis showed similar results with the deterministic analysis because the dispersion of the discontinuity orientations in a joint set is not large.

A Modified Deterministic Boltzmann Machine Learning Algorithm for Networks with Quantized Connection (양자화 결합 네트워크를 위한 수정된 결정론적 볼츠만머신 학습 알고리즘)

  • 박철영
    • Journal of Korea Society of Industrial Information Systems
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    • v.7 no.3
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    • pp.62-67
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    • 2002
  • From the view point of VLSI implementation, a new teaming algorithm suited for network with quantized connection weights is desired. This paper presents a new teaming algorithm for the DBM(deterministic Boltzmann machine) network with quantized connection weight. The performance of proposed algorithm is tested with the 2-input XOR problem and the 3-input parity problem through computer simulations. The simulation results show that our algorithm is efficient for quantized connection neural networks.

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A Deterministic Method of Large Prime Number Generation (결정론적인 소수 생성에 관한 연구)

  • Park, Jung-Gil;Park, Bong-Joo;Baek, Ki-Young;Chun, Wang-Sung;Ryou, Jae-Cheol
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.9
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    • pp.2913-2919
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    • 2000
  • It is essential to get large prime numbers in the design of asymmetric encryption algorithm. However, the pseudoprime numbers with high possibility to be primes have been generally used in the asymmetric encryption algorithms, because it is very difficult to find large deterministic prime numbers. In this paper, we propose a new method of deterministic prime number generation. The prime numbers generated by the proposed method have a 100% precise prime characteristic. They are also guaranteed reliability, security strength, and an ability of primitive element generation.

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An Optimization Rule for Channel Assignment Problem (CAP) (통신채널 할당 최적화 규칙)

  • Lee, Sang-Un
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.6
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    • pp.37-45
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    • 2013
  • In the absence of a single deterministic rule for the channel assignment problems, heuristic algorithms are predominantly employed to partly solve the problems. This paper thus proposes deterministic rules for the channel assignment problems. These deterministic rules have successfully yielded the optimal solution when applied to the Philadelphia's 9 case examples.

A Study on the Development of Optimization Procedure for Radiological Protection (방사선 방어의 최적화 절차론 개발에 관한 연구)

  • Song, Jong-Soon
    • Journal of Radiation Protection and Research
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    • v.19 no.1
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    • pp.1-11
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    • 1994
  • Considering the variety of application and other factors in performing the optimization of radiological protection, it is necessary to use well-structured optimization procedure. In this study, an optimization procedure for design stage of nuclear power plant was proposed, and applied in the selection of alternatives for reducing occupational radiation exposure. As an aiding technique for decision-making, multi-criteria technique was used. As a result, priorities of alternatives are determined, and a problem of applying this result to real situation is reviewed. The developed procedure for optimization can be extended to other areas such as radioactive waste management, medical use of radiation, etc.

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A Deterministic Safety Assessment of a Pyro-processed Waste Repository (A-KRS 처분 시스템 결정론적 안전성 평가)

  • Lee, Youn-Myoung;Jeong, Jongtae;Choi, Jongwon
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.10 no.3
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    • pp.171-188
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    • 2012
  • A GoldSim template program for a safety assessment of a hybrid-typed repository system, called "A-KRS," in which two kinds of pyro-processed radioactive wastes, low-level metal wastes and ceramic high-level wastes that arise from the pyro-processing of PWR nuclear spent fuels are disposed of, has been developed. This program is ready both for a deterministic and probabilistic total system performance assessment which is able to evaluate nuclide release from the repository and farther transport into the geosphere and biosphere under various normal, disruptive natural and manmade events, and scenarios. The A-KRS has been deterministically assessed with 5 various normal and abnormal scenarios associated with nuclide release and transport in and around the repository. Dose exposure rates to the farming exposure group have been evaluated in accordance with all the scenarios and then compared among other.

A Study on the Method of Combining Empirical Data and Deterministic Model for Fuel Failure Prediction (핵연료 파손 예측을 위한 경험적 자료와 결정론적 모델의 접합 방법)

  • Cho, Byeong-Ho;Yoon, Young-Ku;Chang, Soon-Heung
    • Nuclear Engineering and Technology
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    • v.19 no.4
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    • pp.233-241
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    • 1987
  • Difficulties are encountered when the behavior of complex systems (i.e., fuel failure probability) that have unreliable deterministic models is predicted. For more realistic prediction of the behavior of complex systems with limited observational data, the present study was undertaken to devise an approach of combining predictions from the deterministic model and actual observational data. Predictions by this method of combining are inferred to be of higher reliability than separate predictions made by either model taken independently. A systematic method of hierarchical pattern discovery based on the method developed in the SPEAR was used for systematic search of weighting factors and pattern boundaries for the present method. A sample calculation was performed for prediction of CANDU fuel failures that had occurred due to power ramp during refuelling process. It was demonstrated by this sample calculation that there exists a region of feature space in which fuel failure probability from the PROFIT model nearly agree with that from observational data.

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사고관리 방안의 정량적 평가 방법론 및 공동범람 방안 평가

  • 김재환;유동한;서균렬
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.05b
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    • pp.487-492
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    • 1996
  • 이 논문은 원자력발전소의 중대사고를 중지 또는 완화시키기 위하여 제시된 사고관리 방안의 실현가능성을 평가하기 위한 새로운 방법론을 소개하고 있다. 이 방법론은 사고관리 방안의 수행실패 요인으로 운전원 진단 및 의사결정 오류, 운전원 수행오류, 관련기기 실패로 인한 오류, 수행지연으로 인한 오류 등으로 나누고, 각각에 대하여 평가 방법을 제시하였다 .운전원 진단 및 의사결정 오류 평가시 고려하여야 할 주요 인자들을 제시하였으며, 수행지연으로 인한 오류 평가시에는 시스템 가용시간과 방안 수행 소요시간을 정의하고 각각에 대한 분포 획득 방법과 이를 이용한 평가 방법을 제시하였다. 제시된 방법론을 영광 3.4호기 공동범람 방안의 평가에 적용하였다.

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