To improve device yield and throughput, faults in plasma processing equipment should be quickly and accurately diagnosed. Despite many useful information of ex-situ sensor measurements, their applications to recognize...
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In this paper we studied a new dynamic evolution model on phase encoding in population of neuronal oscillators under condition of different phase, and investigated neural informationprocessing in cerebral cortex and ...
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With a view to solve the problems in modern information science, we put forward a new subject named High-Dimensional Space Geometrical Informatics (HDSGI). It builds a bridge between information science and point dist...
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An effective approach for energy conservation in wireless sensornetworks is scheduling sleep intervals for redundant nodes, while guaranteeing continuous services with the remaining active nodes. For the sensor netwo...
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In this paper, a novel robust halftone image watermarking algorithm based on neural networks is presented. By using neural networks, the error diffusion filter can be adjusted adaptively, which can integrate the data ...
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This paper proposes a reconfigurable architecture for VLSI implementation of BP neural networks with on-chip learning. Basing on systolic arrays, this architecture can flexibly adapt to neural networks with different ...
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sensor network nodes are often limited in battery capacity and processing power. Thus, it is imperative to develop solutions that are both energy and computationally efficient. In this work, we present a simple static...
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sensor network nodes are often limited in battery capacity and processing power. Thus, it is imperative to develop solutions that are both energy and computationally efficient. In this work, we present a simple static multi-path routing approach that is optimal in the large system limit. In a network with energy replenishment, the largeness comes into play because the energy claimed by each packet is small compared to the battery capacity. Compared to the other routing algorithms in the literature, this static routing scheme exploits the knowledge on the patterns of traffic and energy replenishment, and does not need to collect instantaneous information on node energy. We also outline possible approaches for a distributed computation of the optimal policy, and propose heuristics to build the set of pre-computed paths. The simulations verify that the static scheme outperforms leading dynamic routing algorithms in the literature, and is close to optimal when the energy claimed by each packet is relatively small compared to the battery capacity.
Developing an ideal routing protocol that satisfies various wireless sensor network applications is difficult due to their different requirements. In this paper, we propose a parametric routing protocol that considers...
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Gaussian Processes (GPs) have state of the art performance in regression. In GPs, all the basis functions are required for prediction;hence its test speed is slower than other learning algorithms such as support vecto...
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In this paper, hybrid neural network processor (HANNP) is designed in VLSI. The HANNP has RISC based architecture leading to an effective general digital signal processing and artificial neural networks computation. T...
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