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Spatial co-locations represent the subsets of spatial features which are frequently located together in a geographic space. Spatial co-location mining has been a research hot in recent years. But the research on causal rule discovery hidden in spatial co-locations has not been reported. Maybe the features in a co-location accidentally share the similar environment, and maybe they are competitively...
Electron-beam direct-write (EBDW) lithography is an attractive candidate of next-generation lithography in advanced semiconductor processes. The huge data stream bandwidth required for the data delivery path in EBDW systems could seriously deteriorate throughput, which is one of the major deficiencies constraining EBDW lithography from mass production. A lossless electron-beam layout data compression...
Spatial co-locations represent the subsets of spatial features which are frequently located together in a geographic space. Discovering co-locations has many useful applications. For example, co-located plant species discovered from plant distribution datasets can contribute to the analysis of plant geography, phytosociology studies, and plant protection recommendations. This paper focuses on incremental...
Computation-aware (CA) scheme has been proposed to efficiently allocate computational resources. However, the computations of motion estimation could be overloaded in limited computing environments, even using the CA algorithms. In this paper, we introduce a method that achieves motion estimation in the extremely insufficient computation power. We proposed a low-distortion based PCDB list to achieve...
During the research of oil-field applied investigation in numerical simulation and reservoir research, 3D-mathe-matical models of stratum or property of geology are always established according to known discrete data. Spatial interpolation algorithms have been a crucial technology in the research of mathematical models, especially in fault stratigraphic global interpolation. In the paper, the intention...
This paper aims to find the most optimal Grey-Fuzzy routing algorithm within multinomial time about the NP-complete problem of multi-objective optimization QoS routing. With the help of Grey-Fuzzy theory, this algorithm achieves an O(mn) time complexity through integrating the QoS metrics to a Grey-Fuzzy synthetic attribute according to its membership degree and grey degree. Our algorithm can use...
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