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检索条件"任意字段=International Conference on Embedded Computer Systems Architectures Modeling and Simulation"

共 2831 条记录，以下是441-450 订阅

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Base-Load Cycling Capacity Adequacy Evaluation in Power systems with Wind Power

Base-Load Cycling Capacity Adequacy Evaluation in Power Syst...

引用

international conference on Life System modeling and simulation (LSMS) / international conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Ma, Jingjie Zhang, Shaohua Wang, Liuhui Shanghai Univ Dept Automat Key Lab Power Stn Automat Technol Shanghai 200072 Peoples R China

ISBN: (纸本)9789811063640;9789811063633

Large scale penetration of intermittent wind power may result in base-load cycling capacity (BLCC) shortage problem, which poses an adverse impact on secure operation of power systems. The integration scale of wind power is heavily relevant to the BLCC adequacy. Therefore, it is important to evaluate the BLCC adequacy of power systems. Using probabilistic production simulation technology, a BLCC adequacy evaluation method considering the forced outage of conventional generation units is developed in this paper. In this method, several BLCC adequacy indexes are defined, namely the probability of BLCC shortage index, the expectation of BLCC shortage index, and the expectation of BLCC margin index. A scenario reduction technique is employed to tackle the uncertainty of wind speed. Numerical examples are presented to verify the reasonableness and effectiveness of the proposed method. This work is helpful to determine the appropriate wind power integration scale in power systems.

关键词： Wind power integration Base-load cycling capacity adequacy Probabilistic production simulation Scenario reduction

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Disaggregated Computing. An Evaluation of Current Trends for Datacentres

Disaggregated Computing. An Evaluation of Current Trends for...

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international conference on Computational Science (ICCS)

作者： Meyer, Hugo Sancho, Jose Carlos Quiroga, Josue V. Zyulkyarov, Ferad Roca, Damian Nemirovsky, Mario BSC Barcelona Spain

Next generation data centers will likely be based on the emerging paradigm of disaggregated function-blocks-as-a-unit departing from the current state of mainboard-as-a-unit. Multiple functional blocks or bricks such as compute, memory and peripheral will be spread through the entire system and interconnected together via one or multiple high speed networks. The amount of memory available will be very large distributed among multiple bricks. This new architecture brings various benefits that are desirable in today's data centers such as fine-grained technology upgrade cycles, fine-grained resource allocation, and access to a larger amount of memory and accelerators. An analysis of the impact and benefits of memory disaggregation is presented in this paper. One of the biggest challenges when analyzing these architectures is that memory accesses should be modeled correctly in order to obtain accurate results. However, modeling every memory access would generate a high overhead that can make the simulation unfeasible for real data center applications. A model to represent and analyze memory disaggregation has been designed and a statistics-based queuing-based full system simulator was developed to rapidly and accurately analyze applications performance in disaggregated systems. With a mean error of 10%, simulation results pointed out that the network layers may introduce overheads that degrade applications' performance up to 66%. Initial results also suggest that low memory access bandwidth may degrade up to 20% applications' performance. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： remote memory disaggregated computing simulation optical networks datacenters

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Characteristic, Architecture, Technology, and Design Methodology of Cyber-Physical systems 2nd

Characteristic, Architecture, Technology, and Design Methodo...

引用

2nd EAI international conference on Industrial IoT Technologies and Applications (Industrial IoT)

作者： Liu, Chao Chen, Fulong Zhu, Junru Zhang, Ziyang Zhang, Cheng Zhao, Chuanxin Wang, Taochun Anhui Normal Univ Dept Comp Sci & Technol Wuhu 241002 Anhui Peoples R China

ISBN: (纸本)9783319607535;9783319607528

Cyber-physical systems (CPS) involve in a variety of computing model integration and collaborative work. There are some problems such as ununified design methods, worse elasticity, high complexity, difficult to implement cyber-physical co-design and co-verification, etc. Aiming at the co-design of embedded components, sensing components, controlling components, communication components and physical components in heterogeneous environments, this paper proposes the characteristics, architectures, technologies, and design methodologies of CPSs. It's necessary to design CPSs in the model-driven design process to establish CPSs and confirm its correctness, support cyber-physical codesign and correctness by construction so as to avoid modifying repeatedly the design when problems are found in the system realization process, and provide the necessary theoretical and practical technical supports to establish CPSs.

关键词： Cyber-Physical systems Co-modeling Component Co-verification

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Heuristic optimisation and simulation as decision support for operation and maintenance of offshore wind farms 19th

Heuristic optimisation and simulation as decision support fo...

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19th international conference on Harbor, Maritime and Multimodal Logistics modeling and simulation, HMS 2017

作者： Mostajeran, Fariba Joschko, Philip Göbel, Johannes University of Hamburg Dept. of Informatics Modelling and Simulation Vogt-Kölln-Str. 30 HamburgD-22527 Germany

ISBN: (纸本)9781510847675

The rise of offshore wind energy production poses a complex resource allocation problem with respect to operation and maintenance (O&M) of offshore wind farms: O&M tasks need be performed by teams of specialists, subject to limited availability of qualifications, means of transport and appropriate weather conditions. Among others, NP-complete problems like shortest return routing ("Travelling Salesman") and job scheduling are embedded into the challenge of determining O&M schedules, which in real-world wind farm operation is often still conducted by hand. In this work, we address this problem by proposing a heuristic approach based on a "compatibility rating", attempting to anticipatorily allocate tasks to teams such that the remaining tasks not yet allocated can still be conducted efficiently, e.g. by a different team. This means of decision support relies on simulation to evaluate the feasibility of the schedules generated.

关键词： Decision support systems

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modeling and analysis of SLDL-Captured NoC abstractions 5th

Modeling and analysis of SLDL-Captured NoC abstractions

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5th IFIP TC 10 international embedded systems Symposium, IESS 2015

作者： Hao, Ran Teimouri, Nasibeh Moazzemi, Kasra Schirner, Gunar Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States

ISBN: (纸本)9783319900223

With increasing number of IP cores, parallel communication architectures including NoCs have emerged for many-core systems. To efficiently architect NoCs, early analysis of crucial run-time metrics such as throughput, latency and saturation time is required. This requires abstract modeling of NoCs. modeling abstraction, and consequently the modeling granularity impacts the accuracy and speed of simulation. While a fine-grained model will slowly lead more accurate information, a coarser model simulates faster and yields less accurate predictions. This paper first identifies possible levels of abstraction for NoC models and correlating captured features with the accuracy/speed trade-off. Second, this paper proposes two NoC models at different abstraction levels: a finer grained Bus-Functional Model (BFM), and a coarser Transaction-Level Model (TLM). The BFM updates the system status after any events happening during data unit transmission, while the TLM updates the system status at the end of data unit transmission. Our evaluation results show moving to higher abstraction (from BFM to TLM) gains 10x to 50x speedup at the cost of 10%–20% accuracy loss on average. Our analysis approach and results guide system architects in exploring NoC architectural alternatives and help identifying suitable abstract levels. © IFIP international Federation for Information Processing 2017.

关键词： Network-on-chip

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32nd international conference, ISC High Performance, 2017

32nd International Conference, ISC High Performance, 2017

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32nd international conference, ISC High Performance, 2017

ISBN: (纸本)9783319586663

The proceedings contain 22 papers. The special focus in this conference is on Proxy Applications and Energy-Aware Computing. The topics include: Fully resolved simulations of dune formation in riverbeds;tile low rank cholesky factorization for climate/weather modeling applications on manycore architectures;extreme scale fused seismic simulations with the discontinuous galerkin method;communication reducing algorithms for distributed hierarchical N-body problems with boundary distributions;on the-fly efficient mining of evolving graphs on GPU;accelerating seismic simulations using the Intel Xeon phi knights landing processor;a framework for out of memory SVD algorithms;a mini-application framework to improve neural simulators;gearshifft - the FFT benchmark suite for heterogeneous platforms;an overview of MPI characteristics of exascale proxy applications;fast matrix-free discontinuous galerkin kernels on modern computer architectures;a new parallel research kernel to expand research on dynamic load-balancing capabilities;extreme event analysis in next generation simulation architectures;an analysis of core - and chip-level architectural features in four generations of Intel server processors;alleviating I/O interference through workload aware striping and load-balancing on parallel file systems;designing dynamic and adaptive MPI point-to-point communication protocols for efficient overlap of computation and communication;diagnosing performance variations in HPC applications using machine learning;a vehicle for HPC community collaboration on co-designed energy management solutions and metrics for energy-aware software optimisation.

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Digital Proceedings of the 24th EG-ICE international Workshop on Intelligent Computing in Engineering 2017

Digital Proceedings of the 24th EG-ICE International Worksho...

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24th EG-ICE international Workshop on Intelligent Computing in Engineering 2017

The proceedings contain 34 papers. The topics discussed include: impact of zoning strategies for building performance simulation;towards energy efficient operational patterns in air handling units in highly sensed buildings;an embedded algorithm for detecting and accommodating synchronization effects in wireless SHM systems;a computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages;collaborative BIM reconstruction on mobile consumer devices;construction health and safety management { a methodological review towards a smart and holistic approach;application of graph databases and graph theory concepts for advanced analysing of BIM models based on IFC standard;using a knowledge based system for automatic site equipment planning;parametric information modelling of mechanised tunnelling projects for multi-level decision support;computer technology for serious gaming in education: a literature review;deep neural network architectures for component-based machine learning model in building energy predictions;ifc-based modeling of cyber-physical systems in civil engineering;framework for shared visualization and real-time information flow to the construction site;and a case study application of unmanned aerial systems (UAS) on highway construction projects.

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modeling and simulation of Intelligent Substation Network Under Intrusion Attack

Modeling and Simulation of Intelligent Substation Network Un...

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international conference on Life System modeling and simulation (LSMS) / international conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Huang, Xiaojuan Fu, Rong Tang, Yi Li, Mengya Yue, Dong Nanjing Univ Posts & Telecommun Coll Automat Nanjing 210023 Jiangsu Peoples R China Southeast Univ Coll Elect Engn Nanjing 210023 Jiangsu Peoples R China

ISBN: (纸本)9789811063701;9789811063695

Recent advancement in the integration of power systems and information communication technology has brought the key concerns towards security operation of cyber physical power system. This paper focuses on realizing the unified system modeling under intrusion attacks and refining the attack effects on communication network by simulation research. We start this survey with an overview of the system operation and crucial intrusion attacks associated with operational security from fusion system perspective. A novel limited stochastic Petri net (LSPN) graph theory is introduced to establish the unified firewall protection system model of intelligent substation network. By proposing quantitative computational methodology of communication throughput variation, the potential consequence on the communication network is determined with information transmission constraints. The final test on IEEE-30 node power system illustrates the usefulness of the proposed model analysis. The research work would raise awareness of the cyber intrusion threats and provide the basis for security defense.

关键词： Cyber physical system Communication throughput variation Intelligent substation network Petri net theory

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A Cognitive Model of Feature Selection and Categorization for Autonomous systems 10th

A Cognitive Model of Feature Selection and Categorization fo...

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10th international conference on Social, Cultural, and Behavioral modeling and Prediction and Behavior Representation in modeling and simulation (SBP-BRiMS)

作者： Martin, Michael Lebiere, Christian Fields, Maryanne Lennon, Craig Carnegie Mellon Univ Pittsburgh PA 15213 USA Army Res Lab Aberdeen MD USA

ISBN: (纸本)9783319602400;9783319602394

We describe a computational cognitive model intended to be a generalizable classifier that can provide context-based feedback to semantic perception in robotic applications. Many classifiers (including cognitive models of categorization) perform well at the task of associating features with objects. Underlying their performance is an effective selection of the features used during classification. This Feature Selection (FS) process is usually performed outside the boundaries of the model that learns and performs the classification task, often by a human expert. In contrast, the cognitive model we describe simultaneously learns which features to use, as it learns the associations between features and classes. This integration of FS and class learning in one model makes it complementary to other Machine-Learning (ML) techniques that automate the FS process (e.g., deep learning methods). But their integration in a cognitive architecture also provides a means for creating a dynamic context that includes disparate sources of information (e.g., environmental observations, task knowledge, commands from humans);this richer context, in turn, provides a means for making semantic perception goal-directed. We demonstrate automated FS, integrated with an Instance-Based Learning (IBL) approach to classification, in an ACT-R model of categorization by labeling facial expressions of emotion (e.g., happy, sad) from a set of relevant, irrelevant, distinct, and overlapping facial action features.

关键词： Autonomous systems Feature selection ACT-R Cognitive architectures Machine-learning Classification Categorization Instance-based learning

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17th international conference on Asia simulation, AsiaSim 2017

17th International Conference on Asia Simulation, AsiaSim 20...

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17th international conference on Asia simulation, AsiaSim 2017

ISBN: (纸本)9789811065019

The proceedings contain 124 papers. The special focus in this conference is on Asia simulation. The topics include: Improvement of GPS accuracy in positioning by using DGPS technique;structural analysis of keropok keping drying machine;comparative study between hourly and daily generation maintenance scheduling;maximum power point tracking (MPPT) battery charger for a small wind power system;differential search algorithm in deep neural network for the predictive analysis of xylitol production in escherichia coli;xylitol production of E. coli using deep neural network and firefly algorithm;a review of deep learning architectures and their application;the enhancement of evolving spiking neural network with dynamic population particle swarm optimization;the effects of pressure variation in sliding mode controller with optimized PID sliding surface;a new local search algorithm for minimum span frequency assignment in mobile communication;enhanced probabilistic roadmap for robot navigation in virtual greenhouse environment;modeling and simulation for defect depth estimation using pulsed eddy current technique;mathematical modelling and quadratic optimal tuning based PID scheme for an inverted pendulum-cart system;ship fire-fighting training system based on virtual reality technique;a systematic web mining based approach for forecasting terrorism;biased robust composite nonlinear feedback control of under actuated systems;realization of 3D sound effect system in navigation simulator;acceleration of particle based fluid simulation with adhesion boundary conditions using GPU;a study on the behavior modeling method of helicopter force and EEG analysis for pre-learning stress in the brain.

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