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检索条件"任意字段=6th International Workshop on Embedded Computer Systems - Architectures, Modeling and Simulation"

共 376 条记录，以下是11-20 订阅

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A Fine-Granularity Image Pyramid Accelerator for embedded Processors 1

引用

20th international Conference on embedded computer systems - architectures, modeling, and simulation (SAMOS)

作者： Tsai, Chun-Jen Wang, Chiang-Yi Natl Chiao Tung Univ Dept Comp Sci Hsinchu Taiwan

ISBN: (数字)9783030609399

ISBN: (纸本)9783030609399;9783030609382

Image-pyramid generator is an important component for many computer vision applications. Due to the complexity of image scaling operations, embedded application processors usually generate three- or four-level image pyramids for vision applications. In this paper, we present an image pyramid accelerator for embedded processors that generates image pyramids of up to 24-levels of down-sampled resolutions for the input image. Since image pyramids are crucial for the coarse-to-fine analysis of many computer vision problems, more resolution levels in the image pyramid can improve the parameter-estimation accuracy. Furthermore, the down-sampling filters used in the proposed design is based on a long-tap Sine-windowed Sinc function filter. therefore, it preserves more image details than other low-complexity filters such as the bilinear or the bicubic interpolation filter. the proposed circuit is verified on an FPGA development board with a Xilinx Kintex-7 device and will be made open-source. the experimental results show that the design is very promising for real-time computer vision applications.

关键词： Image pyramid Down-sampling filter computer vision Coarse-to-fine processing Hardware-software codesign

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High-performance Computing for simulation Testing of Smart Materials for their Further Employment in Modern Diesel Engine Fuel Supply System 6

High-performance Computing for Simulation Testing of Smart M...

引用

6th international Conference on Information Technologies and High-Performance Computing, IthPC 2021

作者： Bogdanov, Vladimir V. Timoshin, Sergey V. Chabunin, Igor S. Kovtanyuk, Andrey E. Pugachev, Il'ya V. Stepanov, Gennadiy V. Golovacheva st.2 Moscow109380 Russia Nami State Research Centre of Russian Federation Avtomotornaya st.2 Moscow125438 Russia GNIIChTEOS Jsc State Research Center of Russian Federation Entuziastov highway 38 Moscow105118 Russia Far Eastern Center for Research and Education in Mathematics Far Eastern Federal University Ajax Bay 10 Russky Island Vladivostok690922 Russia State University of Management Ryazansky Prospekt 99 Moscow109542 Russia

the article presents the results of the investigation of smart materials (electroactive polymers (EAPs)) using simulation testing of stiffness properties based on the trained two-layer neural network. EAPs were modeled as control elements of diesel engine injectors based on certain criteria. the output data were the quick-action of the nozzle. the final part of the article presents the main results of the initial stage of the project to introduce smart materials into fuel supply systems and the prospects for using high-performance computing, modern software and computer systems for mathematical modeling in solving current scientific and technical problems of developing and monitoring motor vehicle technical systems. © 2021 Copyright for this paper by its authors.

关键词： Network layers

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6th international workshop on Modelling and simulation for Autonomous systems, MESAS 2019

6th International Workshop on Modelling and Simulation for A...

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6th international workshop on Modelling and simulation for Autonomous systems, MESAS 2019

ISBN: (纸本)9783030438890

the proceedings contain 35 papers. the special focus in this conference is on Modelling and simulation for Autonomous systems. the topics include: Remark on Volumetric Errors in Kinematic Chain of MCV 754 Quick;Deep Learning Algorithms for Vehicle Detection on UAV Platforms: First Investigations on the Effects of Synthetic Training;Low-Cost RGB-D-SLAM Experimental Results for Real Building Interior Mapping;persistence through Collaboration at Sea for Off-Shore and Coastal Operations;ASAT Weapons: Enhancing NATO’s Operational Capabilities in the Emerging Space Dependent Era;legality and Legitimacy of the Autonomous Weapon systems;C2SIM Operationalization Extended to Autonomous systems;Maneuver Control System CZ;wars Without Soldiers and Casualties or Victories in Hearts and Minds?;kinematic Model of a Specific Robotic Manipulator;modelling and simulation Paradigms to Support Autonomous System Operationalization;aspects of Air Defence Units C2 System Modelling and simulation;AI-Powered Lethal Autonomous Weapon systems in Defence Transformation. Impact and Challenges;analysis and Optimization of the Resilience Enhancement Circle via Data Farming;utilization of modeling and simulation in the Design of Air Defense;practical Comparison of Communication Technologies Suitable for Field Robotics;the Possibilities and Usage of Missile Path Mathematical Modelling for the Utilization in Future Autonomous Air Defense systems Simulators;Combined PSO Methods for UAVs Swarm Modelling and simulation;the Weighted Core of Games Based on Tactical Decisions;model of Observation Posts Deployment in Tactical Decision Support System;machine Learning-Based Open Framework for Multiresolution Multiagent simulation;modular Rover Design for Exploration and Analytical Tasks;Simulating UAS-Based Radiation Mapping on a Building Surface;preface.

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the using of machine learning and neural networks in the processing of computer simulation results for medical diagnostics 6

The using of machine learning and neural networks in the pro...

引用

6th international Conference Information Technology and Nanotechnology. Session Data Science, ITNT-DS 2020

作者： Polyakov, Maxim Khoperskov, Alexander Emelyanov, Egor Borisovskii, Egor Department of Information Systems and Computer Modeling Volgograd State University Volgograd Russia

We use machine learning technologies and neural networks to improve the efficiency of medical diagnostics based on the microwave radiometry. Originality of our approach is that we use the results of computer modeling temperature fields in multicomponent biological tissues to build training and test data sets. We investigate limits of applicability of the method for diagnosing breast cancer using microwave radiometry data. Task of determining diagnostic quality for different sizes of tumors seems promising to us. Copyright © 2020 for this paper by its authors.

关键词： Machine learning

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New high-performance modular computer system architectures for control network applications 6

New high-performance modular computer system architectures f...

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6th international workshop on Personal computers and Particle Accelerator Controls, PCaPAC 2006

作者： Vinogradov, V.I. INR RAS Moscow Russia

Convergence of computer systems and communication technologies are moving to switched high-performance modular system architectures on the base of high-speed switched interconnections. Multi-core processors become more perspective way to high-performance system, and tradition parallel bus system architectures (VME/VXI, cPCI/PXI) are moving to new higher speed serial switched interconnections. Fundamentals in system architecture development are compact modular component strategy, low power processor, new serial high-speed interface chips on the board, and high-speed switched fabric for SAN architectures. Overwiev of Advanced modular concepts and new international standards for development high-performance embedded and compact modular systems for real time applications is described. © PCaPAC 2006 - 6th international workshop on Personal computers and Particle Accelerator Controls, *** right reserved.

关键词： Personal computers

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Model-Based Design for high performance devices oriented to advanced smart solutions

Model-Based Design for high performance devices oriented to ...

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international Conference on Information Science and Technology (ICIST)

作者： Loubna Belhamel Arturo Buscarino Antonio Cucuccio Luigi Fortuna Gaetano Rascona University of Catania Catania Italy CNR-IASI Italian National Research Council-Institute for Systems Analysis and Computer Science A. Ruberti Rome Italy STMicroelectronics Catania Italy

ISBN: (数字)9781728166469

ISBN: (纸本)9781728166476

this paper applies Model-Based Design methodologies to develop a high-performance device driver model suitable for advanced smart solutions. these modeling techniques are mandatory to use when designing advanced smart applications based on embedded devices. the paper proposes an innovative approach to accurately models the operations of the STM32 analog converter peripheral for both simulation purpose and to generate an optimized code that integrates on the Low-Level STM32 firmware driver. A new Simulink toolbox has been developed to replicate the ADC functions. Finally, an example has been presented to show the effectiveness of this new modeling approach.

关键词： Performance evaluation Information science Software packages Design methodology Encoding Device drivers Microprogramming

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6th international workshop on Hybrid systems Biology, HSB 2019

6th International Workshop on Hybrid Systems Biology, HSB 20...

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6th international workshop on Hybrid systems Biology, HSB 2019

ISBN: (纸本)9783030280413

the proceedings contain 12 papers. the special focus in this conference is on Hybrid systems Biology. the topics include: rPrism – A Software for Reactive Weighted State Transition Models;hybrid modeling of Metabolic-Regulatory Networks (Extended Abstract);reachability Analysis and Hybrid systems Biology - In Oded Maler;reaction Networks, Oscillatory Motifs and Parameter Estimation in Biochemical systems;fixed-Point Computation of Equilibria in Biochemical Regulatory Networks;rejection-Based simulation of Stochastic Spreading Processes on Complex Networks;controlling Noisy Expression through Auto Regulation of Burst Frequency and Protein Stability;extracting Landscape Features from Single Particle Trajectories;A Hybrid HMM Approach for the Dynamics of DNA Methylation;using a Hybrid Approach to Model Central Carbon Metabolism Across the Cell Cycle.

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Rejection-Based simulation of Stochastic Spreading Processes on Complex Networks 6th

Rejection-Based Simulation of Stochastic Spreading Processes...

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6th international workshop on Hybrid systems Biology (HSB)

作者： Grossmann, Gerrit Wolf, Verena Saarland Univ D-66123 Saarbrucken Germany

ISBN: (纸本)9783030280420;9783030280413

Stochastic processes can model many emerging phenomena on networks, like the spread of computer viruses, rumors, or infectious diseases. Understanding the dynamics of such stochastic spreading processes is therefore of fundamental interest. In this work we consider the wide-spread compartment model where each node is in one of several states (or compartments). Nodes change their state randomly after an exponentially distributed waiting time and according to a given set of rules. For networks of realistic size, even the generation of only a single stochastic trajectory of a spreading process is computationally very expensive. Here, we propose a novel simulation approach, which combines the advantages of event-based simulation and rejection sampling. Our method outperforms state-of-the-art methods in terms of absolute run-time and scales significantly better while being statistically equivalent.

关键词： Spreading process SIR Epidemic modeling Monte-Carlo simulation Gillespie Algorithm

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CEUR workshop Proceedings

CEUR Workshop Proceedings

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6th international Young Scientists Conference on Information Technologies, Telecommunications and Control systems, ITTCS 2019

the proceedings contain 22 papers. the topics discussed include: development of a prototype web-based search system for driving school jobs in scientific and educational activities;the process of developing a web-based system on the basis of cinema website models;a road sign inventory system based on radio-frequency identification;a structural approach to computer analysis of brain signals and its implementation in the decision support system;the development of a simulation modeling of traffic prioritization in multiservice enterprise networks in the anylogic system;comparative analysis of 3D Blender and 3ds max modeling methods;coalition model of multi-agent resource conversion process;and information system development using augmented reality tools.

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Protein secondary structure analysis in the cloud 2018

Protein secondary structure analysis in the cloud

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6th international workshop on Parallelism in Bioinformatics, PBio 2018, held as part of EuroMPI 2018

作者： Ferretti, Marco Santangelo, Luigi Department of Electrical Computer and Biomedical Engineering University of Pavia Italy

ISBN: (纸本)9781450365314

Many biological problems, such finding recurring geometrical patterns in the secondary structures of protein pairs, are often solved by using parallel applications running on HPC systems that, thanks to their powerful architecture and high number of CPUs, can yield good performance. Recently cloud computing is emerging as a convenient environment to deploy certain types of parallel applications. this work examines Cross Motif Search, an application that has been successfully executed in parallel on on-premise clusters and HPC systems, and studies its porting in a cloud environment. the work uses profiling and analytical modelling to predict communication overhead. While profiling gives unreliable estimates, model-based predictions and actual data are in good match, thanks to the simple pattern of communication embedded in the application. Overall, Cross Motif Search has a viable implementation in the cloud. © 2018 ACM.

关键词： Parallel architectures

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