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

共 2878 条记录，以下是521-530 订阅

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Is computer science dying?

Is computer science dying?

引用

international conference on embedded computer systems: architectures, modeling and simulation (IC-SAMOS)

作者： Alex Nicolau University High School Irvine CA US

Summary form only given. This talk discusses some positive and negative trends in the field. It briefly examines some case studies, and finally discusses things that we as a community could do better.

ISBN: (纸本)9781509030774

关键词： computer science Market research

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Quantitative Investigations about the Surface Texture Characteristics of the Nickel-Carbon Composite Thin Films using Stereometric Analysis

Quantitative Investigations about the Surface Texture Charac...

引用

2017 international conference on Applied Mathematics, modeling and simulation (AMMS2017)

作者： Aleksandra ADAMIEC Sebastian STACH ?tefan ??LU University of Silesia Faculty of Computer Science and Materials ScienceInstitute of InformaticsDepartment of Biomedical Computer Systems The Technical University of Cluj-Napoca The Directorate of ResearchDevelopment and Innovation Management (DMCDI)

The purpose of this study was to describe the 3-D nano-scaled surface texture of the Nickel–Carbon(Ni–C) nanocomposite thin films composed of Ni nanoparticles with different average sizes embedded in amorphous hydrogenated carbon using stereometric analysis. The 3-D nanoscaled surface texture was studied by atomic force microscopy(AFM) and stereometric analysis. In a wider context, we also discuss our findings with regard to manufacture of the Nickel-Carbon composite thin films with desired surface characteristics.

关键词： atomic force microscopy Nickel-Carbon composite thin films stereometric analysis surface micromorphology

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R&D on an embedded System of the Material Management for Internet of Things 16th

R&D on an Embedded System of the Material Management for Int...

引用

Joint conference of the 16th Asia simulation conference / SCS international Autumn simulation Multi-conference (AsiaSim/SCS AutumnSim)

作者： Wu, Shengxi Si, Youwei Chen, Jie Gu, Xingsheng East China Univ Sci & Technol Minist Educ Key Lab Adv Control & Optimizat Chem Proc 130 Meilong Rd Shanghai 200237 Peoples R China

ISBN: (纸本)9789811026638;9789811026621

A highly efficient design project on embedded system for Internet of Things (IOT) is presented for materials margin management system. As the key instruments of IOT, the acquisition and transmission of weight system data is based on embedded STC15W201S. RS485 bus and Ethernet are used to link microcontroller and PC which make a complete materials margin for real-time dynamic management system. Communication between host computer and instruments and software of host computer are provided to implement of weighting system. As the key technologies, communication between PC and Ethernet, weighting calibration and data filtering are discussed. Test results show that this embedded system can satisfy the design purpose to materials management for Internet of Things.

关键词： Internet of things Material management Weighting system Calibration First-order filter

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Convolutional neural networks for intestinal hemorrhage detection in wireless capsule endoscopy images

Convolutional neural networks for intestinal hemorrhage dete...

引用

IEEE international conference on Multimedia and Expo (ICME)

作者： Panpeng Li Ziyun Li Fei Gao Li Wan Jun Yu Key Laboratory of Complex Systems Modeling and Simulation Hangzhou Dianzi University School of Communication Engineering Hangzhou Dianzi University College of Computer Science Chongqing University

ISBN: (纸本)9781509060689

Wireless capsule endoscopy (WCE) can painlessly capture a large number of images inside the intestine. However, only a small portion of these WCE images contain hemorrhage. It is thus critical to develop automated hemorrhage detection method to facilitate the diagnosis of intestinal diseases. However, automated hemorrhage detection is complicated by 1) the extreme imbalance between the amount of hemorrhage images and that of normal images; and 2) the variety of the appearance, texture, and luminance inside the intestine. In this paper, we proposed to learn a robust intestinal hemorrhage detection model via Convolutional Neural Networks (CNNs), because of CNNs' extraordinary performance in solving various image understanding tasks. Specially, we explored different CNN architectures and data augmentation methods. Besides, we investigated the correlation between hemorrhage detection accuracy and image quality. Across about 1.3k hemorrhage images and 40k normal images, the learned CNN model achieves an F-measure of 98.87%.

关键词： Hemorrhaging Optical wavelength conversion Endoscopes Machine learning Biomedical imaging Training Wireless communication

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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

引用

7th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core architectures and 5th Workshop on Design Tools and architectures For Multicore embedded Computing Platforms, PARMA-DITAM 2016

ISBN: (纸本)9781450340526

The proceedings contain 6 papers. The topics discussed include: stack size estimation on machine-independent intermediate code for OpenCL kernels;predictive modeling methodology for compiler phase-ordering;flexible resource allocation and management for application graphs on ReN MPSoC;low communication overhead dynamic mapping of multiple HEVC Video stream decoding on NOCs;deploying and monitoring hadoop MapReduce analytics on single-chip cloud computer;and runtime resource management for embedded and HPC systems.

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A database-centric approach for the modeling, simulation and control of cyber-physical systems in the factory of the future.

A database-centric approach for the modeling, simulation and...

引用

8th IFAC conference on Manufacturing Modelling, Management and Control (MIM)

作者： Bonci, Andrea Pirani, Massimiliano Longhi, Sauro Univ Politecn Marche DII I-60131 Ancona Italy

The path towards Industrie 4.0, requires that factory automation problems cope with the cyber-physical system complexity and its challenges. Some practical experiences and literature in the field testify that the role of the database management systems is becoming central for control and automation technology in the new industrial scenario. This article proposes database-centric technology and architectures that seamlessly integrate networking, artificial intelligence and real-time control issues into a unified model of computing. The proposed methodology is also viable for the development of simulation and rapid prototyping tools for smart and advanced industrial automation. (C) 2016, IFAC (Informational rederation of Automatic Control) Hosting Elsevier Ltd. All rights reserved.

关键词： Computational methods Database management systems Distributed computer control systems embedded systems Industry automation Intelligent manufacturing systems Simulators

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Virtualization Guided Tsunami and Storm Surge simulations for Low Power architectures 1

引用

5th international conference on simulation and modeling Methodologies, Technologies and Applications (SIMULTECH)

作者： Schoenwetter, Dominik Ditter, Alexander Kleinert, Bruno Hendricks, Arne Aizinger, Vadym Fey, Dietmar Univ Erlangen Nurnberg Chair Comp Sci Comp Architecture 3 Martensstr 3 D-91058 Erlangen Germany Univ Erlangen Nurnberg Chair Appl Math AM1 Cauerstr 11 D-91058 Erlangen Germany

ISBN: (数字)9783319312958

ISBN: (纸本)9783319312958;9783319312941

Performing a tsunami or storm surge simulation in real time on low power computation devices is a highly challenging research topic with a big impact on the lives of many people. In order to advance this topic further a tight collaboration between mathematics and computer science is needed. Mathematical models must be combined with numerical methods which, in turn, directly determine the computational performance and efficiency of the solution. Also, code parallelization is required in order to obtain accurate and fast simulation results. Traditional approaches in high performance computing require a lot of computational power and significant amounts of electrical energy;they are also highly dependent on uninterrupted access to a reliable network and power supply. We present a concept how to develop solutions for suitable low power hardware architectures for tsunami and storm surge simulations based on cooperative software and hardware simulation. The main goal is to enable in situ simulations on potentially battery-powered device on site. Flood warning systems in regions with weak or unreliable power, network and computing infrastructure could largely benefit from our approach as it would significantly decrease the risk of network or power failure during the computation.

关键词： Multiscale simulation Environmental modeling Crisis modeling and simulation

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Regular Agent Technologies for the Formation of Dynamic Profile 7th

Regular Agent Technologies for the Formation of Dynamic Prof...

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7th Annual international conference on Biologically Inspired Cognitive architectures (BICA)

作者： Artamonov, Alexey Onykiy, Boris Ananieva, Anastasia Ionkina, Kristina Kshnyakov, Dmitry Danilova, Valeriya Korotkov, Mikhail Natl Res Nucl Univ MEPhI Moscow Russia Kurchatov Inst Natl Res Ctr Moscow Russia

Constantly increasing number of information items (i.e. published or digital subjects) set the necessary goal to develop new approaches for filtering and structuring data. This paper describes agent-based approach that is used in Multi-agent information and analytical system (MIAS) developed at the National Research Nuclear University "MEPhI" in order to form a dynamic profile of the Human Brain Project, which includes general information, identification of funding, interrelation of subprojects and new technologies that are being developed in the course of the project. The MIAS support of object-oriented approach and international standards of linked data contributes to the development of future information systems that will enable forecasting on specific scientific field.

关键词： agent multi-agent system Big Data Data mining retrieval system information and analytical system brain neuroscience neuroinformatics modeling simulation supercomputing human brain project HBP neuromorphics

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Bard: A unified framework for managing soft timing and power constraints

Bard: A unified framework for managing soft timing and power...

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international conference on embedded computer systems: architectures, modeling and simulation (IC-SAMOS)

作者： Connor Imes Henry Hoffmann Department of Computer Science University of Chicago Chicago IL USA

ISBN: (纸本)9781509030774

embedded systems are subject to timing and power constraints. To support both, software currently must integrate multiple tools, resulting in additional complexity. We address this problem with a unified, portable framework called Bard which uses control theory to meet the primary constraint and linear programming to optimize the other. We evaluate Bard on two embedded platforms that exhibit different performance and power/energy characteristics and show that it achieves less than 2% error in meeting power constraints while maintaining nearly 95% of optimal performance. Additionally, Bard supports changing the primary constraint type at runtime while still achieving similar results.

关键词： Timing Power demand Schedules embedded systems Batteries Real-time systems Hardware

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Architecture exploration of a programmable neural network processor for embedded systems

Architecture exploration of a programmable neural network pr...

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international conference on embedded computer systems: architectures, modeling and simulation (IC-SAMOS)

作者： Wonyong Sung Jinhwan Park Department of Electrical and Computer Engineering Seoul National University Seoul Korea

ISBN: (纸本)9781509030774

Deep neural network algorithms show very high performance, however increased amounts of arithmetic and memory accesses hinder their adoption to embedded systems. This paper explores a programmable neural network processing architecture that can efficiently execute feed-forward, recurrent, and convolutional deep neural networks. The neural network algorithms are transformed to matrix-vector multiplication operations, which are then executed using a very wide SIMD (Single Instruction Multiple Data) functional unit. Especially, the functional and the data-level parallelism are compared for this architecture exploration, and an auxiliary hardware support for data rearrangement is added. The simulation results show that the architecture with a 128-wide SIMD functional unit can execute deep neural network algorithms for voice command, gesture, and handwritten digit recognition in real-time.

关键词： Biological neural networks Convolution Kernel Parallel processing Logic gates Hardware computer architecture

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