• Title/Summary/Keyword: RAM model

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A Backpropagation Learning Algorithm for pRAM Networks (pRAM회로망을 위한 역전파 학습 알고리즘)

  • 완재희;채수익
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.1
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    • pp.107-114
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    • 1994
  • Hardware implementation of the on-chip learning artificial neural networks is important for real-time processing. A pRAM model is based on probabilistic firing of a biological neuron and can be implemented in the VLSI circuit with learning capability. We derive a backpropagation learning algorithm for the pRAM networks and present its circuit implementation with stochastic computation. The simulation results confirm the good convergence of the learning algorithm for the pRAM networks.

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Analysis of Accelerated Soft Error Rate for Characteristic Parameters on Static RAM (정적 RAM 특성 요소에 의한 소프트 에러율의 해석)

  • Gong, Myeong-Kook;Wang, Jin-Suk;Kim, Do-Woo
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.55 no.4
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    • pp.199-203
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    • 2006
  • This paper presents an ASER (Accelerated Soft Error Rate) integral model. The model is based on the facts that the generated EHP/s(electron hole pairs) are diminished after some residual range of the incident alpha particle, where residual range is a function of the incident angle and the capping layer thickness over the semiconductor junction. The ASER is influenced by the flux of the alpha particles, the junction area ratio, the alpha particle incident angle when the critical charge is same as the collected charge, and the sizes of the alpha source and the chip. The model was examined with 8M static RAM samples. The measured ASER data showed good agreement with the calculated values using the model. The ASER decreased exponentially with respect to the operational voltage. As the capping layer thickness increases up to $16{\mu}m$, the ASER increases, and after that thickness, the ASER decreases. The ASER increased as the depth of BNW increased from $0{\mu}m\;to\;4{\mu}m$. and then saturated. The ASER decreased as the node capacitance increased from 2fF to 5fF.

A Proposal on Analyzing Operational Mission Summary/Mission Profile and RAM Goal Setting from Operational Concepts on the Next-MILSATCOM (차기 군 위성통신체계 OMS/MP 분석 및 운용개념으로부터의 RAM 목표값 산출 제안)

  • Park, Heung-Soon;Kwon, Tae-Wook;Lee, Chul-Hwa;Park, Dae-Hyun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.3
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    • pp.295-303
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    • 2013
  • The Operational Mode Summary/Mission Profile(OMS/MP) is a document which describes how a system or training device will be used in wartime and/or peacetime at the time it is field with focus on the future. OMS/MP is also typically used for the RAM goal setting in an early phase of weapon system development. This paper provides OMS/MP and RAM goal of the Next-MILSATCOM which is following military satellite system after ANASIS. We propose operational concepts, user-side OMS/MP model and RAM goal.

A Study on the development of model for aircraft RAM prediction (항공기의 RAM 예측을 위한 모델 개발에 관한 연구)

  • 김성청
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1998.10a
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    • pp.102-114
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    • 1998
  • 항공기 개발단계에서의 RAM(Reliability, Availability, Maintainability) 예측은 진행중인 설계개념이 RAM 개발 목표값을 달성할 수 있는지를 판단하여 이를 설계에 반영하기 위한 것이다. 본 연구에서 신뢰도 예측 모델은 항공기의 임무에 초점을 둔 임무신뢰도와 시스템신뢰도를 산출하고, 정비도 예측 모델은 군수지원분석자료(LSAR)와의 호환성을 유지할 수 있도록 하였으며, 가용도 예측 모델은 신뢰도와 정비도 자료를 활용한 운용가용도를 예측하는 데에 기준을 두었다. 본 연구는 기존의 RAM 예측이 각각 독립적으로 수행된 점을 보완하여 서로간의 상호관계를 반영한 통합 예측 모델을 개발하는 데에 초점을 두었으며, 실제적인 운용개념을 반영한 모델링으로서 항공기 개발단계에서 뿐만 아니라 실제 운용단계에서의 RAM 분석에 효과적이라 판단된다.

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A Recovery Algorithm for Database Systems using Nonbolatile DFeRAM (비휘발성 이중면 FeRAM을 이용한 데이타베이스 시스템의 회복 알고리즘)

  • Kim, Yong-Geol;Park, Jin-Won;Jin, Seong-Il;Jo, Seong-Hyeon
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.3
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    • pp.649-658
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    • 1997
  • Database management systems(DMBS)using bolatile memory shluld have a recovery function to protect data against system failutes.Recovery requires much overhead in transaction proessing and is one of the great factors that deteriorate the system performance.Recently, there have been a lot of studies on database systems with nonbolatile memory to enhance the performance.A nonbolatile memory called DFeRAM is one of the promising memory devices of the future technology, but this device does not support fine-franularity licking.In this paper, we present a dual plane FeRAM(DFeRAM)architecture to support the fine-granularity locking.We also propose a recovery algorithm for the database system with the DFeRAM based on a shadow paging methed.In order to analze the performance of the proposed algorithm, we present an analytical model and analyze the performance using the moedl.

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Application of Flory-Treszczanowicz-Benson model and Prigogine-Flory-Patterson theory to Excess Molar Volumes of Isomers of Propanol with Cyclohexane or n-Hexane

  • Gahlyan, Suman;Verma, Sweety;Rani, Manju;Maken, Sanjeev
    • Korean Chemical Engineering Research
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    • v.56 no.4
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    • pp.536-541
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    • 2018
  • Excess molar volumes ($V_m^E$) of binary mixtures of 1-propanol or 2-propanol (1) + cyclohexane or n-hexane (2) were measured with V-shaped dilatometer at 303.15 K. The $V_m^E$ data for these mixtures varied as: 2-propanol > 1-propanol and were higher for cyclohexane than n-hexane for both propanol systems. The experimental data were correlated with Redlich-Kister polynomial. The $V_m^E$ data were interpreted qualitatively as well as quantitatively in terms of Flory-Treszczanowicz-Benson model and Prigogine-Flory-Patterson theory. Both models correctly described the sign and shape of $V_m^E$ vs $x_1$ curves. The values calculated by both the models agree well with the experimental data.

Compatibility for the Typhoon Damages Predicted by Korea Risk Assessment Model Input Data (한국형 재해평가모형(RAM)의 초기입력자료 적합성 평가)

  • Park, Jong-Kil;Lee, Bo-Ram;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.24 no.7
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    • pp.865-874
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    • 2015
  • This study was conducted to investigate the correlation between the distribution chart and input data of the predicted 3-second gust and damage cost, by using the forecast field and analysis field of Regional Data Assimilation Prediction System (RDAPS) as initial input data of Korea risk assessment model (RAM) developed in the preceding study. In this study the cases of typhoon Rusa which caused occurred great damage to the Korean peninsula was analyzed to assess the suitability of initial input data. As a result, this study has found out that the distribution chart from the forecast field and analysis field predicted from the point where the effect due to the typhoon began had similarity in both 3-second gust and damage cost with the course of time. As a result of examining the correlation, the 3-second gust had over 0.8, and it means that the forecast field and analysis field show similar results. This study has shown that utilizing the forecast field as initial input data of Korea RAM could suit the purpose of pre-disaster prevention.

Inplementation of a Hydrogen Leakage Simulator with HyRAM+ (HyRAM+를 이용한 수소 누출 시뮬레이터 구현)

  • Sung-Ho Hwang
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.551-557
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    • 2024
  • Hydrogen is a renewable energy source with various characteristics such as clean, carbon-free and high-energy, and is internationally recognized as a "future energy". With the rapid development of the hydrogen energy industry, more hydrogen infrastructure is needed to meet the demand for hydrogen. However, hydrogen infrastructure accidents have been occurring frequently, hindering the development of the hydrogen industry. HyRAM+, developed by Sandia National Laboratories, is a software toolkit that integrates data and methods related to hydrogen safety assessments for various storage applications, including hydrogen refueling stations. HyRAM+'s physics mode simulates hydrogen leak results depending on the hydrogen refueling station components, graphing gas plume dispersion, jet frame temperature and trajectory, and radiative heat flux. In this paper, hydrogen leakage data was extracted from a hydrogen refueling station in Samcheok, Gangwon-do, using HyRAM+ software. A hydrogen leakage simulator was developed using data extracted from HyRAM+. It was implemented as a dashboard that shows the data generated by the simulator using a database and Grafana.

2-Dimensional Hydrodynamic Analysis using RAM-2 Model (RAM-2 모형을 이용한 2차원 동수역학 해석)

  • Kim, Sang-Ho;Han, Kun-Yeun;Choi, Seung-Yong;Oh, Hyun-Uk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.895-899
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    • 2009
  • 실제 하천에서는 지형적 이산화에 따른 복잡성으로 인해 마름/젖음 현상이 발생하며 그로 인해 작은 수심에서 수치해석의 안정성에 영향을 주어 해석을 불가능하게 한다. 자연수로는 저수시 및 평수시에 물을 소통시키는 주수로부와 홍수시 수위 상승에 따라 주수로부에서부터 범람하게 되는 홍수터로 구성된다. 홍수터는 홍수류의 일시적인 저장이나 하류로 흐름을 전달하는 복합수로의 부분으로 사용된다. 자연수로에서 이와같은 흐름구조는 불규칙한 단면형상, 조도계수 등에 의해서 더욱 복잡하게 나타난다. 본 연구에서는 복잡한 지형과 자연 하천구조에 대한 동역학적인 흐름특성을 해석하고 오염물질의 이송-확산 해석 및 토사이송 해석과 연계하기 위해서 개발된 RAM-2 모형에 동수역학적 해석을 실시하였다. RAM-2 모형에는 대상하도에 대한 마름/젖음의 처리를 위해 흐름의 시간별 수위상승 및 하강 속도를 고려한 Deforming Grid 기법을 적용하였으며, 이에 대한 적용성을 검토하기 위해 마름/젖음 조건을 가지는 실험수로와 홍수터를 가진 사다리꼴 단면 그리고 실제 하도에 대해 적용하여 그 결과를 살펴보았다.

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Development of eco-hydraulic model for Riverine Habitat Analysis (하천 서식처 해석을 위한 생태 모형 개발 연구)

  • Seo, Il-Won;Choi, Hwang-Jeong;Song, Chang-Geun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.2085-2089
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    • 2008
  • 수자원 개발이 자연 하천 생태계에 미치는 다양한 악영향들은 하천에 서식하는 동 식물의 생태서식지의 변화를 초래할 수 있다. 하천생태계를 보전하고 복원하기 위해서는 수리학과 생물학이 연계된 생태수리학적 모형을 지속적으로 연구 개발하여 수자원 개발에 따른 장래의 물리적인 거동을 비교적 정확하게 분석 및 예측하는 것이 필요하다. 본 연구의 목적은 21세기 프론티어 연구사업 'RAMS (River Analysis and Modeling System) 적용' 과제 중 개발된 RAM2, RAM4, RAM6 해석 모형으로부터 유속, 수위, 수온, SS, 하상고, 하상재료 데이터를 받아들여 GIS와 연계하는 2차원 하천 생태 모형 (RAM 8)을 개발하는 것이다. 그리고 개발에 따른 모형 검증을 위해서 우리나라 4대 강 중 유일하게 하구둑이 설치되어 있지 않아 자연적인 하천지형과 기수역 생태계가 잘 보존된 한강 하구부를 적용구간으로 선정하여, 서식지 적합성을 판단하고 그에 따른 적정 유량을 산정하여 1차원 서식처 모형인 PHABSIM을 이용한 결과와 비교한다.

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