Different from the traditional wireless networks, in wireless sensor networks(WSNs), power consumption is a critical aspect, because current nodes are always supported by constrainedenergy battery. A particular challe...
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Disk mirroring or RAID1 is a popular paradigm to achieve fault tolerance and high reliability, this paper describes four mirrored disk organizations: basic mirroring, group rotate declustering, interleaved declusterin...
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This paper presents a data placement of a two-disk failure-tolerant disk arrays system, a code-mixing solution RAID5x with XOR-based code and mirror for disk arrays to improve performance of accessing storage system w...
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An online semi-supervised active learning algorithm is proposed, which is based on self-organizing incremental neural network (SOINN). The proposed method do not need any priori knowledge such as number of nodes or nu...
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Particle swarm optimization (PSO) simulates the behaviors of birds ocking and £sh schooling. However, its biological background does not concern the environmental affection. Inspired by the interaction between en...
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Agent-Oriented Conceptual Modelling (AOCM) is a novel approach to conceptual modelling that has gained considerable credence within the research community over the last decade. The key innovation in AOCM is the use of...
ISBN:
(纸本)9783540762911
Agent-Oriented Conceptual Modelling (AOCM) is a novel approach to conceptual modelling that has gained considerable credence within the research community over the last decade. The key innovation in AOCM is the use of an agent, together with associated concepts such as goals, plans, commitments etc. as modelling constructs. This has been inspired, in part, by the growing popularity of agent-oriented approaches to the building of intelligent systems, within the artificial intelligence and related research communities. CASO is a formal agent programming language for process specification and agent programming. It supports the formal specification of complex multiagent systems and provides a tool for process simulation. On the other hand it lacks features for modeling the rationale behind design choices. This work allows us to benefit from the complementary representational capabilities of the two frameworks.
Velocity threshold is an important parameter to affect the performance of particle swarm optimization. In this paper, a novel velocity threshold automation strategy is proposed by incorporated with Leávy probabil...
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In nonlinear Bayesian estimation it is generally inevitable to incorporate approximate descriptions of the exact estimation algorithm. There are two possible ways to involve approximations: Approximating the nonlinear...
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ISBN:
(纸本)9780662478300;0662478304
In nonlinear Bayesian estimation it is generally inevitable to incorporate approximate descriptions of the exact estimation algorithm. There are two possible ways to involve approximations: Approximating the nonlinear stochastic system model or approximating the prior probability density function. The key idea of the introduced novel estimator called Hybrid Density Filter relies on approximating the nonlinear system, thus approximating conditional densities. These densities nonlinearly relate the current system state to the future system state at predictions or to potential measurements at measurement updates. A hybrid density consisting of both Dirac delta functions and Gaussian densities is used for an optimal approximation. This paper addresses the optimization problem for treating the conditional density approximation. Furthermore, efficient estimation algorithms are derived based upon the special structure of the hybrid density, which yield a Gaussian mixture representation of the system state's density.
This paper describes real chip implementation issues of network-on-chip (NoC) and their solutions along with series of chip design examples. The solutions described in this paper cover both architectural aspects and c...
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This paper describes real chip implementation issues of network-on-chip (NoC) and their solutions along with series of chip design examples. The solutions described in this paper cover both architectural aspects and circuit level techniques for practical chip implementation of NoC. As for architecture level solutions, topology selection, chip-aware protocol design, and on-chip serialization (OCS) for link area reduction are explained. For circuit level techniques, SERDES and synchronizer design, crossbar switch partial activation, and low-voltage link are presented as the foundations for power and area efficient NoC implementation. Regarding presented solutions for NoC implementation, this paper proposes memory centric NoC (MC-NoC) for homogeneous multi processor SoC (MPSoC). Flexibility and feasibility of task mapping on homogeneous SoC is the key feature of the MC-NoC. 8 dual port SRAMs connected to crossbar switches in hierarchical star topology network facilitate data communication between processors, regardless of task mapping into the MC-NoC. Experimental result obtained by mapping edge detection tasks on the MC-NoC in various configurations shows almost constant performance. This result proves the effectiveness of the proposed architecture. The MC-NoC based SoC is also implemented on TSMC 0.18 um process technology
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