Search results for " computing"
showing 10 items of 2075 documents
Self-organization of Computation in Neural Systems
2015
When learning a complex task our nervous system self-organizes large groups of neurons into coherent dynamic activity patterns. During this, a cell assembly network with multiple, simultaneously active, and computationally powerful assemblies is formed; a process which is so far not understood. Here we show that the combination of synaptic plasticity with the slower process of synaptic scaling achieves formation of such assembly networks. This type of self-organization allows executing a difficult, six degrees of freedom, manipulation task with a robot where assemblies need to learn computing complex non-linear transforms and - for execution - must cooperate with each other without interfer…
LaCoDa: Layered connected topology for massive data centers
2017
One of the fundamental challenges of existing data centers is to design a network that interconnects massive number of servers, and therefore providing an efficient and fault-tolerant routing service to upper-layer applications. Several solutions have been proposed (e.g. FatTree, DCell and BCube), however they either scale too fast (i.e., double exponentially) or too slow. This paper proposes a new data center topology, called LaCoDa, that combines the advantages of previous topologies while avoiding their limitations. LaCoDa uses a small node degree that matches physical restriction for servers, and it also interconnects a large number of servers while reducing the wiring complexity and wi…
Towards Modelling Information Security with Key-Challenge Petri Nets
2009
Our global information society is based on distributed wide-area networks. Network security consists of the provisions made in an underlying computer network infrastructure, policies adopted by the network administrator to protect the network-accessible resources from unauthorized access, as well as continuous monitoring and measurement of the network security's effectiveness. In this paper, we describe the use of Petri nets in modelling network security. We propose a new hierarchical method for modelling network attacks and evaluating effectiveness of the corresponding defences. Our model is called Key-Challenge Petri Net (KCPN).
A Heterogeneous Sensor and Actuator Network Architecture for Ambient Intelligence
2014
One of the most important characteristics of a typical ambient intelligence scenario is the presence of a number of sensors and actuators that capture information about user preferences and activities. Such nodes, i.e., sensors and actuators, are often based on different technologies so that types of networks which are typically different coexist in a real system, for example, in a home or a building. In this chapter we present a heterogeneous sensor and actuator network architecture designed to separate network management issues from higher, intelligent layers. The effectiveness of the solution proposed here was evaluated using an experimental scenario involving the monitoring of an office…
Improving the Performance Metric of Wireless Sensor Networks with Clustering Markov Chain Model and Multilevel Fusion
2013
Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/783543 Open access The paper proposes a performance metric evaluation for a distributed detection wireless sensor network with respect to IEEE 802.15.4 standard. A distributed detection scheme is considered with presence of the fusion node and organized sensors into the clustering and non-clustering networks. Sensors are distributed in clusters uniformly and nonuniformly and network has multilevel fusion centers. Fusion centers act as heads of clusters for decision making based on majority-like received signal strength (RSS) with comparis…
A New Genetic Approach for the Partitioning Problem in Distributed Virtual Environment Systems
2004
The Partitioning problem is a key issue in the design of Distributed Virtual Environment (DVE) systems based on a server-network architecture. This problem consist of efficiently assigning the clients of the simulation (avatars) to the system servers. Despite the existing literature proposes different evolutive approaches for solving this NP-hard problem, an approach based on genetic algorithms is considered as the current best partitioning mechanism.
Exploiting Deductive Processes for Automated Network Management
2005
This paper focuses on improving network management by the adoption of artificial intelligence techniques. We propose a distributed multiagent architecture for network management, which exploits the dynamic reasoning capabilities of the situation calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed on the network devices and is collected by a logical entity for network managing where it is merged with general domain knowledge, with a view to identifying the root causes of faults and to decide on reparative actions. The logical inference system has been devised to carry…
Towards integrated operations for ships
2013
Maritime customers will benefit greatly from integrated operations between ship and shore. It requires integrating diverse information services within a variety of communication environments, which is a complex task. The common approach to dealing with complex tasks is to use a divide-and-conquer policy and solve problems independently. Since there are mainly two challenges involved - interoperability among heterogeneous applications and connectivity through difficult maritime networks, to handle them separately has become useful. While interoperability and connectivity solutions work well individually, if we put them together in the maritime context, problems arise. We b services based int…
Non-linear neuro-inspired circuits and systems: Processing and learning issues
2018
In this chapter the main elements useful for the design and realization of the neural architectures reported in the following chapters will be presented. Considering spiking and non-spiking neurons, the models used for implementing each of them, the synaptic models, the basic learning and plasticity algorithms and the network architectures will be introduced and analysed. The key elements that led to their selection and application in the developed neuro-inspired systems will be discussed briefly.
A new proposed cloud computing based architecture for space ground data systems
2018
International audience; Many companies decided to move towards the cloud computing technology in order to manage, monitor and explore huge space data amount in the space ground data systems. The corresponding transition adaptation needs a study to classify each space related service in the appropriate cloud computing service model layer; SaaS, PaaS and IaaS. In this paper, we specify a representation of proposed cloud computing based ground data system architecture for earth observation missions. The proposed architecture takes into consideration the collaboration aspect between multiple space agencies. We evaluate the time, storage and processing performance when using the cloud computing …