loading
ParLe—A Parallel Computing Learning Set for MPSOCs/NOCs
2005 Edition, January 1, 2005 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Programming and design skills in parallel computing related to systems on chip (SOC) will become increasingly important since future SOCs will have multiple processors interconnected via on-chip networks (NOC). Unfortunately there exist no easy-to-use tools for...

Attacking Real-time MPSoCs: Preemptive NoCs are Vulnerable
2019 Edition, October 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Multi-Processor System-on-Chip is one of the todays standard platforms which has being used in several applications, including time critical. In order to meet safety, thus attending real-time constraints, security may be put aside during the design stage. This is the case of the Priority-Preemptive...

Fast learning set theoretic estimation
2013 Edition, September 1, 2013 - EURASIP

This paper addresses set theoretic estimation used for online learning in an adaptive filtering context. The advantages of set theoretic estimation over the traditional point estimation are shown, among which we highlight the capability of reducing the computational...

Decision trees from uncertain learning sets
1994 Edition, Volume 1, January 1, 1994 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Decision trees are structures which form a partition of some given measurement space for the purpose of classifying new measurements. Typically, the construction of the decision tree is performed using a learning set (or training set) where the class of...

Side channel attack on NoC-based MPSoCs are practical: NoC Prime+Probe attack
2016 Edition, August 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Many authors have shown how to break the AES cryptographic algorithm with side channel attacks, specially the timing attacks oriented to caches, like Prime+Probe. In this paper, we present a practical timing attack on NoC that improves Prime+Probe technique. Our attack targets the...

Synthetic learning set for object pose estimation: Initial experiments
2017 Edition, June 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We summarize a method to generate a synthetic learning set for object pose estimation in robotic manipulation tasks. Exploiting modern computer graphics techniques, our synthetic learning set satisfies the requirements both in quantitative diversity...

Learning Set Cardinality in Distance Nearest Neighbours
2015 Edition, November 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Distance-based nearest neighbours (dNN) queries and aggregations over their answer sets are important for exploratory data analytics. We focus on the Set Cardinality Prediction (SCP) problem for the answer set of dNN queries. We contribute a novel,...

Security in MPSoCs: A NoC Firewall and an Evaluation Framework
2015 Edition, Volume 34, August 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In multiprocessor system-on-chip (MPSoC), a CPU can access physical resources, such as on-chip memory or I/O devices. Along with normal requests, malevolent ones, generated by malicious processes running in one or more CPUs, could occur. A protection mechanism is therefore...

Differentiated Communication Services for NoC-Based MPSoCs
2014 Edition, Volume 63, March 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The adoption of Networks-on-Chip (NoCs) as the communication infrastructure for complex integrated systems is a fact, and has been promoted by the growing number of processing elements integrated in current MPSoCs. These are designed to execute several applications in...

Dictionary Learning Level Set
2015 Edition, Volume 22, November 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We propose a novel region based segmentation technique using dictionary learning. In a previous work we have developed a method which uses a set of pre-specified Legendre basis functions to perform region based segmentation of an object in presence of...

Advertisement