35,858 research outputs found
Adaptive OFDM System Design For Cognitive Radio
Recently, Cognitive Radio has been proposed as a promising technology to improve spectrum utilization. A highly flexible OFDM system is considered to be a good candidate for the Cognitive Radio baseband processing where individual carriers can be switched off for frequencies occupied by a licensed user. In order to support such an adaptive OFDM system, we propose a Multiprocessor System-on-Chip (MPSoC) architecture which can be dynamically reconfigured. However, the complexity and flexibility of the baseband processing makes the MPSoC design a difficult task. This paper presents a design technology for mapping flexible OFDM baseband for Cognitive Radio on a multiprocessor System-on-Chip (MPSoC)
Performance of the Fully Digital FPGA-based Front-End Electronics for the GALILEO Array
In this work we present the architecture and results of a fully digital Front
End Electronics (FEE) read out system developed for the GALILEO array. The FEE
system, developed in collaboration with the Advanced Gamma Tracking Array
(AGATA) collaboration, is composed of three main blocks: preamplifiers,
digitizers and preprocessing electronics. The slow control system contains a
custom Linux driver, a dynamic library and a server implementing network
services. The digital processing of the data from the GALILEO germanium
detectors has demonstrated the capability to achieve an energy resolution of
1.53 per mil at an energy of 1.33 MeV.Comment: 5 pages, 6 figures, preprint version of IEEE Transactions on Nuclear
Science paper submitted for the 19th IEEE Real Time Conferenc
Complex networks: new trends for the analysis of brain connectivity
Today, the human brain can be studied as a whole. Electroencephalography,
magnetoencephalography, or functional magnetic resonance imaging techniques
provide functional connectivity patterns between different brain areas, and
during different pathological and cognitive neuro-dynamical states. In this
Tutorial we review novel complex networks approaches to unveil how brain
networks can efficiently manage local processing and global integration for the
transfer of information, while being at the same time capable of adapting to
satisfy changing neural demands.Comment: Tutorial paper to appear in the Int. J. Bif. Chao
Verifying service continuity in a satellite reconfiguration procedure: application to a satellite
The paper discusses the use of the TURTLE UML profile to model and verify service continuity during dynamic reconfiguration of embedded software, and space-based telecommunication software in particular. TURTLE extends UML class diagrams with composition operators, and activity diagrams with temporal operators. Translating TURTLE to the formal description technique RT-LOTOS gives the profile a formal semantics and makes it possible to reuse verification techniques implemented by the RTL, the RT-LOTOS toolkit developed at LAAS-CNRS. The paper proposes a modeling and formal validation methodology based on TURTLE and RTL, and discusses its application to a payload software application in charge of an embedded packet switch. The paper demonstrates the benefits of using TURTLE to prove service continuity for dynamic reconfiguration of embedded software
The "MIND" Scalable PIM Architecture
MIND (Memory, Intelligence, and Network Device) is an advanced parallel computer architecture for high performance computing and scalable embedded processing. It is a
Processor-in-Memory (PIM) architecture integrating both DRAM bit cells and CMOS logic devices on the same silicon die. MIND is multicore with multiple memory/processor nodes on
each chip and supports global shared memory across systems of MIND components. MIND is distinguished from other PIM architectures in that it incorporates mechanisms for efficient support of a global parallel execution model based on the semantics of message-driven multithreaded split-transaction processing. MIND is designed to operate either in conjunction with other conventional microprocessors or in standalone arrays of like devices. It also incorporates mechanisms for fault tolerance, real time execution, and active power management. This paper describes the major elements and operational methods of the MIND
architecture
Multiple dynamical time-scales in networks with hierarchically nested modular organization
Many natural and engineered complex networks have intricate mesoscopic
organization, e.g., the clustering of the constituent nodes into several
communities or modules. Often, such modularity is manifested at several
different hierarchical levels, where the clusters defined at one level appear
as elementary entities at the next higher level. Using a simple model of a
hierarchical modular network, we show that such a topological structure gives
rise to characteristic time-scale separation between dynamics occurring at
different levels of the hierarchy. This generalizes our earlier result for
simple modular networks, where fast intra-modular and slow inter-modular
processes were clearly distinguished. Investigating the process of
synchronization of oscillators in a hierarchical modular network, we show the
existence of as many distinct time-scales as there are hierarchical levels in
the system. This suggests a possible functional role of such mesoscopic
organization principle in natural systems, viz., in the dynamical separation of
events occurring at different spatial scales.Comment: 10 pages, 4 figure
Rich-club network topology to minimize synchronization cost due to phase difference among frequency-synchronized oscillators
Functions of some networks, such as power grids and large-scale brain
networks, rely on not only frequency synchronization, but also phase
synchronization. Nevertheless, even after the oscillators reach to
frequency-synchronized status, phase difference among oscillators often shows
non-zero constant values. Such phase difference potentially results in
inefficient transfer of power or information among oscillators, and avoid
proper and efficient functioning of the network. In the present study, we newly
define synchronization cost by the phase difference among the
frequency-synchronized oscillators, and investigate the optimal network
structure with the minimum synchronization cost through rewiring-based
optimization. By using the Kuramoto model, we demonstrate that the cost is
minimized in a network topology with rich-club organization, which comprises
the densely-connected center nodes and peripheral nodes connecting with the
center module. We also show that the network topology is characterized by its
bimodal degree distribution, which is quantified by Wolfson's polarization
index. Furthermore, we provide analytical interpretation on why the rich-club
network topology is related to the small amount of synchronization cost.Comment: 4 figures + one appendix figur
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