Results 151 to 160 of about 335,663 (179)

A cache-aware scheduling algorithm for embedded systems

Proceedings Real-Time Systems Symposium, 2002
The paper presents a methodology for scheduling real time tasks in embedded systems where the task layout is known at design time and does not change at execution time (static systems) and where the cache miss costs are significant when compared to the normal execution time of the tasks.
G. Luculli, DI NATALE, Marco
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Efficient embedded system algorithm mapping

2010 53rd IEEE International Midwest Symposium on Circuits and Systems, 2010
For many embedded systems it is critical to reduce power and area consumption to the absolute minimum. For example, in hearing aid processing, the processors must be made small enough to fit the smallest ear canal and also provide sufficient battery life for approximately one week of operation.
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Algorithms for Embedded Controllers in Microgyros

IFAC Proceedings Volumes, 2012
Abstract Usage of micromechanical gyros (MMG) in space systems is restricted due to their low precision. For this reason development and investigation of methods and algorithms of increasing the precision is a very important problem. Studies have shown that the usage of firmware control in inertial units allows modification of parameters of gyros in ...
Alexander I. Panferov, Valery K. Ponomarev   +1 more
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Security-Aware Virtual Network Embedding Algorithm Based on Reinforcement Learning

IEEE Transactions on Network Science and Engineering, 2021
Peiying Zhang, Chao Wang, Chunxiao Jiang
exaly  

Dynamic Virtual Network Embedding Algorithm Based on Graph Convolution Neural Network and Reinforcement Learning

IEEE Internet of Things Journal, 2022
Peiying Zhang, Chao Wang, Neeraj Kumar, Smieee   +2 more
exaly  

Genetic Algorithms in Autonomous Embedded Systems

2009
The performance and usefulness of autonomous embedded systems (AES) can be enhanced by providing them with artificial intelligence (AI). Because embedded systems are generally constrained by mul- tiple factors (e.g., power consumption, processing speed, memory, etc.), fully-fledged AI implementations are not feasible for most AES designs.
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Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition

IEEE Transactions on Neural Networks and Learning Systems, 2020
Zhengming Li, Zheng Zhang, Zhao Zhang
exaly  

Evolutionary Algorithms for Embedded System Design

2003
Preface. Contributing Authors. Foreword D.E. Goldberg. Introduction R. Drechsler, N. Drechsler. 1. Evolutionary Testing of Embedded Systems J. Wegener. 2. Genetic Algorithm Based DSP Code Optimization R. Leupers. 3. Hierarchical Synthesis of Embedded Systems C. Haubelt, et al. 4. Functional Test Generation F. Ferrandi, et al. 5.
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A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding

Computers in Biology and Medicine, 2021
Elahe Nasiri, Kamal Berahmand, Mehrdad Rostami   +2 more
exaly  

Randomized Algorithm in Embedded Crypto Module

2006
The hardware random number generator is a source of unpredictable, statistically random stream sequences. Critical cryptography applications require the production of an unpredictable and unbiased stream of binary data derived from a fundamental noise mechanism.
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