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The geometric and spatial characteristics of pore structures determine the permeability and water retention of soils, which have important effects on soil functional diversity and ecological restoration. Until recently, there have not been tools and methods to visually and quantitatively describe the characteristics of soil pores. To solve this problem, this research reconstructs the geometry and...
UnionPay's inter-bank transaction settlement platform (ITSP) generates a huge amount of bankcard transaction data everyday, recording different bankcard activities. In order to unleash the business value of these data, UnionPay has built a customized data warehouse based on Hadoop to manage and query the massive data imported from ITSP. However, the original system suffers from low storage utilization...
Big trajectory data introduces severe challenges for data storage and communication. In this paper, we propose a novel compression framework called Clockwise Compression Framework (CCF) for big trajectory data compression under road network constraints. In CCF, we design several new methods: 1) a spatial compression algorithm called Enhanced Clockwise Encoding (ECE), 2) a temporal compression algorithm...
MapReduce is a programming model designed by Google that has been widely used for both high performance computing and big data processing. Although the programming model is simple, it is very challenging to conduct performance tuning for a MapReduce job, considering the complexities of the configuration parameters and various tradeoffs between the performance gain of the optimization approaches and...
Owing to the shortages of brittle failure and low stiffness existing in concrete beams with FRP reinforcement, it is easy to reach a general conclusion on the beams with poor deformability and failure precursors. The analysis on the flexural behavior of concrete beams reinforced with FRP bars is performed from the point of view of engineering design. Four test beams from two published experiments...
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