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Gradient boosting tree (GBT), a widely used machine learning algorithm, achieves state-of-the-art performance in academia, industry, and data analytics competitions. Although existing scalable systems which implement GBT, such as XGBoost and MLlib, perform well for datasets with medium-dimensional features, they can suffer performance degradation for many industrial applications where the trained...
Large-scale self-organised systems, such as distributed community energy systems, have called for coordination approaches that are able to deal with issues such as heterogeneity, inter-dependence and dynamic variability. Holonic institutions have been proposed as an approach to converging the structuration required for multi-scale, multi-criteria optimisation in nested enterprises with the formal...
This paper introduces a high-speed all-hardware scale-invariant feature transform (SIFT) architecture with parallel and pipeline technology for real-time extraction of image features. The task-level parallel and pipeline structure are exploited between the hardware blocks, and the data-level parallel and pipeline architecture are exploited inside each block. Two identical random access memories are...
In order to create a rapid, easy, and circulatory capabilities for multipurpose applications of remote sensing image, a network-oriented satellite remote sensing circulation architecture was proposed, and its key components was discussed in the same time. The client scheming and block data disposure were supplements to the integrity circulation architecture, conforming to which, clients can distribute...
Many experiments have verified that Sabina vulgaris shrubs had distinguished advantage in anti-drought, but a lot of past works were primarily focused on its eco-physiological characteristics, with its growth model almost never explored. In this work, the primary model of S. vulgaris shrubs is discussed and improved based on the dual-scale automaton model with the data from experiments. The diversification...
Thanks to its significant value in anti-drought, Sabina vulgaris is becoming more and more important. But much of past research work was primarily focused on its eco-physiological characteristics while ignoring its basic topological architecture and growth rules. In this work, a dual-scale automaton model is presented to investigate the topological architecture of S. vulgaris shrubs. In comparison...
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