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In our study, multi-temporal HJ-CCD data are used to identify and monitor the powdery mildew (Blumeria graminis f. sp. triti) on winter wheat on a regional scale. A total of five sensitive vegetation indices (NDVI, RDVI, SAVI, TVI, and MSAVI) are specifically derived to construct the minoring models, which can reflect the leaf area index (LAI), chlorophyll (Chl) and changes of crop canopy structure...
There is an ever-increasing interest in studying temporal networks nowadays, as temporal networks can illustrate the real-world system more accurately. To date, how to characterize nodes' importance is still unclear in temporal networks. In this work, we first use a time window graph model to cut the temporal network into slices, and then we give an indicator for network centrality according to the...
Lots of works have showed that the wireless LAN frame traffic is self-similar and obeyed in the heavy-tailed distribution. This paper analyzes a frame traffic data collected from real IEEE 802.11 networks, and studies the impacts of each type of frame traffic (management frame traffic, control frame traffic, data frame traffic, and retransmission frame traffic) on characteristics of self-similarity...
In this study, we analyze the impact of different types of frame traffic on the self-similar behavior of the aggregated frame traffic, collected from the IETF 2005 conference. Our measurement results show that the different types of frame traffic have various impacts on the self-similarity of the aggregated frame traffic in different session periods, and these impacts are simultaneously related with...
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