The autonomous operation of an intelligent service robot in practical applications requires that the robot builds up a map of the environment by itself. A prerequisite for building large scale consistent maps is that ...
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When using neural networks to train a large number of data for classification, there generally exists a learning complexity problem. In this paper, a new geometrical interpretation of McCulloch-Pitts (M-P) neural mode...
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In this paper we address a new approach of contour extraction of moving objects using active contours in an image sequence. Both the spatial convolution process and the external boundary tracing algorithm (EBTA) are u...
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High-speed local area networks (LANs) support many distributed applications. These applications require some system availability guarantees. However, LANs may change their topology due to switches and hosts being turn...
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Intelligent agents embedded in physical environments need the ability to connect, or anchor, the symbols used to perform abstract reasoning to the physical entities which these symbols refer to. Anchoring must rely on...
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We present improved algorithms for testing monotonicity of functions. Namely, given the ability to query an unknown function f: Σn ↦ Ξ where Σ and Ξ are finite ordered sets, the test always accepts a monotone f, a...
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Identifying the optimal settings for crossover probability pc and mutation probability Pm is of an important problem to improve the convergence performance of GAs. In this paper, we modelled genetic algorithms as cont...
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In this paper it is shown that Iterative Feedback Tuning can be applied to multi-input multi-output linear sampled-data systems where the sensed outputs may be sampled at different rates and where the controllers oper...
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In this paper it is shown that Iterative Feedback Tuning can be applied to multi-input multi-output linear sampled-data systems where the sensed outputs may be sampled at different rates and where the controllers operate synchronously at one sampling rate which is a multiple of the sampling rates of the controlled variables. It is also shown that generalized sampled-data hold functions (GSDHF) can be tuned. By way of an example, it is shown that one case where GSDHF's may improve the performance significantly is when the continuous time system is minimum phase but the sampled counterpart is non-minimum phase.
Parallelising ray tracing with a data parallel approach allows rendering of arbitrarily large models, but the inherent load imbalances may lead to severe inefficiencies. To compensate for the uneven load distribution,...
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ISBN:
(纸本)1581132379
Parallelising ray tracing with a data parallel approach allows rendering of arbitrarily large models, but the inherent load imbalances may lead to severe inefficiencies. To compensate for the uneven load distribution, demand-driven tasks may be split off and scheduled to processors that are less busy. We propose a hybrid scheduling algorithm which brings tasks and data together according to coherence between rays. The amount of demand-driven versus dataparallel tasks is a function of the coherence between rays and the amount of imbalance in the basic data-parallel load. Processing power, communication and memory are three resources which should be evenly used. Our current implementation is assessed against these requirements, showing good scalability and very little communication at the cost of a slightly larger memory overhead.
Supporting independent ISs and integrating them in distributed data warehouses (materialized views) is becoming more important with the growth of the WWW. However, views defined over autonomous ISs are susceptible to ...
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