• 제목/요약/키워드: Multi-level model

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제어흐름 에러 탐지를 위한 분리형 시그니처 모니터링 기법 (Separate Signature Monitoring for Control Flow Error Detection)

  • 최기호;박대진;조정훈
    • 대한임베디드공학회논문지
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    • 제13권5호
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    • pp.225-234
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    • 2018
  • Control flow errors are caused by the vulnerability of memory and result in system failure. Signature-based control flow monitoring is a representative method for alleviating the problem. The method commonly consists of two routines; one routine is signature update and the other is signature verification. However, in the existing signature-based control flow monitoring, monitoring target application is tightly combined with the monitoring code, and the operation of monitoring in a single thread is the basic model. This makes the signature-based monitoring method difficult to expect performance improvement that can be taken in multi-thread and multi-core environments. In this paper, we propose a new signature-based control flow monitoring model that separates signature update and signature verification in thread level. The signature update is combined with application thread and signature verification runs on a separate monitor thread. In the proposed model, the application thread and the monitor thread are separated from each other, so that we can expect a performance improvement that can be taken in a multi-core and multi-thread environment.

특징형상기반 다중해상도 모델링에 관한 연구 - Part I: 특징형상의 유효영역 (A Study on Feature-Based Multi-Resolution Modelling - Part I: Effective Zones of Features)

  • 이규열;이상헌
    • 한국CDE학회논문집
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    • 제10권6호
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    • pp.432-443
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    • 2005
  • Recent three-dimensional feature-based CAD systems based on solid or non-manifold modelling functionality have been widely used for product design in manufacturing companies. When product models associated with features are used in various downstream applications such as analysis, however, simplified and abstracted models at various levels of detail (LODs) are frequently more desirable and useful than the full detailed model. To provide multi-resolution models, the features need to be rearranged according to a criterion that measures the significance of the feature. However, if the features are rearranged, the resulting shape is possibly different from the original because union and subtraction Boolean operations are not commutative. To solve this problem, in this paper, the new concept of the effective zone of a feature is defined and identified using Boolean algebra. By introducing the effective zone, an arbitrary rearrangement of features becomes possible and arbitrary LOD criteria may be selected to suit various applications. Besides, because the effective zone of a feature is independent of the data structure of the model, the multi-resolution modelling algorithm based on the effective zone can be implemented on any 3D CAD system based on conventional solid representations as well as non-manifold topological (NMT) representations.

청소년의 다문화 수용성 구조 모형 구축 (A Structural Equation Model on Korean Adolescents' Multi-cultural Acceptance)

  • 이하나
    • 한국산학기술학회논문지
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    • 제19권2호
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    • pp.302-310
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    • 2018
  • 본 연구는 청소년의 다문화 수용성의 영향을 미치는 요인들 사이의 관계를 확인하고 모델을 구축하기 위해 시도되었다. 이 연구는 2016 한국아동 청소년 패널조사(korean children and youth panel survey: kcps)의 자료 중 7차년도 자료를 이용하였으며, 청소년 본인 1881명 중 응답률이 불충분한 101명을 제외한 1780명을 최종 분석에 활용 하였다. 본 연구의 자료분석은 SPSS 22와 Amos Program 22를 이용하여 유의수준 .05 수준에서 분석하였으며, 대상자의 인구학적 특성과 연구변수의 특성을 파악하기 위해 기술 통계 분석(descriptive analysis)을 실시하였다. 가설적 모형의 적합도 검증 및 가설 검증은 최대우도법(maximum likelihood estimate)을 사용하였으며 모형 적합도 평가는 $X^2$ 통계량, GFI, AGFI, CFI, IFI, RMSEA를 이용하였다. 본 연구의 모형은 우수한 모델 적합도를 나타내었으며, 자아탄력성, 또래관계, 공동체 의식은 청소년의 다문화 수용성에 영향을 주는 요인임을 확인 할 수 있었다. 따라서 청소년의 다문화 수용성을 증진시키기 위해, 자아탄력성, 또래관계, 공동체 의식을 높일 수 있는 혼합형 중재가 필요할 것임을 제안한다.

불확실한 수요와 리드타임을 갖는 공급사슬에서 (s,S) 재고정책에 관한 연구 (A study on Inventory Policy (s, S) in the Supply Chain Management with Uncertain Demand and Lead Time)

  • 한재현;정석재
    • 대한안전경영과학회지
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    • 제15권1호
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    • pp.217-229
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    • 2013
  • As customers' demands for diversified small-quantity products have been increased, there have been great efforts for a firm to respond to customers' demands flexibly and minimize the cost of inventory at the same time. To achieve that goal, in SCM perspective, many firms have tried to control the inventory efficiently. We present an mathematical model to determine the near optimal (s, S) policy of the supply chain, composed of multi suppliers, a warehouse and multi retailers. (s, S) policy is to order the quantity up to target inventory level when inventory level falls below the reorder point. But it is difficult to analyze inventory level because it is varied with stochastic demand of customers. To reflect stochastic demand of customers in our model, we do the analyses in the following order. First, the analysis of inventory in retailers is done at the mathematical model that we present. Then, the analysis of demand pattern in a warehouse is performed as the inventory of a warehouse is much effected by retailers' order. After that, the analysis of inventory in a warehouse is followed. Finally, the integrated mathematical model is presented. It is not easy to get the solution of the mathematical model, because it includes many stochastic factors. Thus, we get the solutions after the stochastic demand is approximated, then they are verified by the simulations.

A modal approach for the efficient analysis of a bionic multi-layer sound absorption structure

  • Wang, Yonghua;Xu, Chengyu;Wan, Yanling;Li, Jing;Yu, Huadong;Ren, Luquan
    • Steel and Composite Structures
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    • 제21권2호
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    • pp.249-266
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    • 2016
  • The interest of this article lies in the proposition of using bionic method to develop a new sound absorber and analyze the efficient of this absorber in a ski cabin. Inspired by the coupling absorption structure of the skin and feather of a typical silent flying bird - owl, a bionic coupling multi-layer structure model is developed, which is composed of a micro-silt plate, porous fibrous material and a flexible micro-perforated membrane backed with airspace. The finite element simulation method with ACTRAN is applied to calculate the acoustic performance of the multi-layer absorber, the vibration modal of the ski cabin and the sound pressure level (SPL) near the skier's ears before and after pasting the absorber at the flour carpet and seats in the cabin. As expected, the SPL near the ears was significantly reduced after adding sound-absorbing material. Among them, the model 2 and model 5 showed the best sound absorption efficiency and the SPL almost reduced 5 dB. Moreover, it was most effctive for the SPL reduction with full admittance configuration at both the carpet and the seats, and the carpet contribution seems to be predominant.

Performing a multi-unit level-3 PSA with MACCS

  • Bixler, Nathan E.;Kim, Sung-yeop
    • Nuclear Engineering and Technology
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    • 제53권2호
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    • pp.386-392
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    • 2021
  • MACCS (MELCOR Accident Consequence Code System), WinMACCS, and MelMACCS now facilitate a multi-unit consequence analysis. MACCS evaluates the consequences of an atmospheric release of radioactive gases and aerosols into the atmosphere and is most commonly used to perform probabilistic safety assessments (PSAs) and related consequence analyses for nuclear power plants (NPPs). WinMACCS is a user-friendly preprocessor for MACCS. MelMACCS extracts source-term information from a MELCOR plot file. The current development can combine an arbitrary number of source terms, representing simultaneous releases from a multi-unit facility, into a single consequence analysis. The development supports different release signatures, fission product inventories, and accident initiation times for each unit. The treatment is completely general except that the model is currently limited to collocated units. A major practical consideration for performing a multi-unit PSA is that a comprehensive treatment for more than two units may involve an intractable number of combinations of source terms. This paper proposes and evaluates an approach for reducing the number of calculations to be tractable, even for sites with eight or ten units. The approximation error introduced by the approach is acceptable and is considerably less than other errors and uncertainties inherent in a Level 3 PSA.

도로자산관리를 위한 포장종합평가지수의 속성과 변화과정의 모델링 (Internal Property and Stochastic Deterioration Modeling of Total Pavement Condition Index for Transportation Asset Management)

  • 한대석;도명식;김부일
    • 한국도로학회논문집
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    • 제19권5호
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    • pp.1-11
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    • 2017
  • PURPOSES : This study is aimed at development of a stochastic pavement deterioration forecasting model using National Highway Pavement Condition Index (NHPCI) to support infrastructure asset management. Using this model, the deterioration process regarding life expectancy, deterioration speed change, and reliability were estimated. METHODS : Eight years of Long-Term Pavement Performance (LTPP) data fused with traffic loads (Equivalent Single Axle Loads; ESAL) and structural capacity (Structural Number of Pavement; SNP) were used for the deterioration modeling. As an ideal stochastic model for asset management, Bayesian Markov multi-state exponential hazard model was introduced. RESULTS:The interval of NHPCI was empirically distributed from 8 to 2, and the estimation functions of individual condition indices (crack, rutting, and IRI) in conjunction with the NHPCI index were suggested. The derived deterioration curve shows that life expectancies for the preventive maintenance level was 8.34 years. The general life expectancy was 12.77 years and located in the statistical interval of 11.10-15.58 years at a 95.5% reliability level. CONCLUSIONS : This study originates and contributes to suggesting a simple way to develop a pavement deterioration model using the total condition index that considers road user satisfaction. A definition for level of service system and the corresponding life expectancies are useful for building long-term maintenance plan, especially in Life Cycle Cost Analysis (LCCA) work.

Flexible Maintenance Scheduling of Generation System by Multi-Probabilistic Reliability Criterion in Korea Power System

  • Park, Jeong-Je;Choi, Jae-Seok;Baek, Ung-Ki;Cha, Jun-Min;Lee, Kwang-Y.
    • Journal of Electrical Engineering and Technology
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    • 제5권1호
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    • pp.8-15
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    • 2010
  • A new technique using a search method which is based on fuzzy multi-criteria function is proposed for GMS(generator maintenance scheduling) in order to consider multi-objective function. Not only minimization of probabilistic production cost but also maximization of system reliability level are considered for fuzzy multi-criteria function. To obtain an optimal solution for generator maintenance scheduling under fuzzy environment, fuzzy multi-criteria relaxation method(fuzzy search method) is used. The practicality and effectiveness of the proposed approach are demonstrated by simulation studies for a real size power system model in Korea in 2010.

다층모형을 활용한 양파 구중 추정 연구 (A study on the estimation of onion's bulb weight using multi-level model)

  • 김준기;최성천;김재휘;서홍석
    • 응용통계연구
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    • 제33권6호
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    • pp.763-776
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    • 2020
  • 양파는 기상여건에 따른 작황의 변동성이 커 생산량 및 가격 변화가 크다. 정부는 양파를 수급 민감 품목으로 지정하여 다양한 수급 안정대책을 마련하고 시행하는데 이를 위해서는 선제적이고 신뢰도 높은 양파 생산량 예측 정보가 필수적이다. 본 연구에서는 양파의 5월 초 지상부 생육정보와 5월 초부터 수확기까지의 기상정보를 이용하여 최종 생구 무게에 미치는 영향을 추정함으로써 생산량 예측의 정확도 개선에 기여하고자 한다. 위계적 특성을 갖고 있는 자료를 통해 개체별 생육요인인 1-수준 자료와 필지별 기상요인인 2-수준 자료, 그리고 두 수준 간 상호작용을 고려한 다층모형을 도입하여 분석하였다. 분석 결과, 5월 초에 엽수, 엽초경, 초장의 생육이 좋을수록 최종 생구 무게는 증가하는 것으로 추정되었다. 5월 초부터 수확기까지의 기상요인에서는 강수량, 고온일수, 탄소동화저해일수가 생구 무게에 음의 효과가 나타났으며, 일교차와 수확전강수량은 양의 효과로 통계적으로 유의하였다. 또한 1-수준과 2-수준의 교호작용항을 고려하여 모형의 적합도와 설명력을 향상시켰다.

Dynamic Collaborative Cloud Service Platform: Opportunities and Challenges

  • Yoon, Chang-Woo;Hassan, Mohammad Mehedi;Lee, Hyun-Woo;Ryu, Won;Huh, Eui-Nam
    • ETRI Journal
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    • 제32권4호
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    • pp.634-637
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    • 2010
  • This letter presents a model for a dynamic collaboration (DC) platform among cloud providers (CPs) that prevents adverse business impacts, cloud vendor lock-in and violation of service level agreements with consumers, and also offers collaborative cloud services to consumers. We consider two major challenges. The first challenge is to find an appropriate market model in order to enable the DC platform. The second is to select suitable collaborative partners to provide services. We propose a novel combinatorial auction-based cloud market model that enables a DC platform among CPs. We also propose a new promising multi-objective optimization model to quantitatively evaluate the partners. Simulation experiments were conducted to verify both of the proposed models.