This paper is a research on the characteristics of power big data. According to the characteristics of “large volume”, “species diversity”, “sparse value density”, “fast speed” of the power big data, a prediction model of multi-source information fusion for large data is established, the fusion prediction of various parameters of the same object is realized. A combined algorithm of Map Reduce a...

Image fusion is an emerging area of statistical application that deals with the integration of images captured by multiple sensors or different modes of imaging systems to obtain an image having higher information content than the individual images. A practical limitation of existing fusion algorithms is that the input images are often assumed to be noise-free. This paper presents a new statist...

In this paper, fusion of multispectral images for visualization is aimed at, based on the projection of the scatterdiagrams onto a one-dimensional space. Linear as well as nonlinear projection techniques are used. In contrast with existing mapping techniques which work globally, a local mapping technique is constructed. In this technique, the images are subdivided into blocks, where each block ...

Unmanned aerial vehicles are rapidly gaining popularity in many environmental monitoring tasks. A prerequisite for their autonomous operation is the ability to perform efficient and accurate mapping online, given limited on-board resources constraining time computational capacity. To address this, we present an online adaptive-resolution approach field based on Gaussian Process fusion, a strate...

Sperm-egg interaction is one of the most impressive processes in sexual reproduction, and understanding the molecular mechanism is crucial in solving problems in infertility and failed in vitro fertilization. The main purpose of this study is to map the sperm-egg interaction network between cell-surface proteins and perform an interaction analysis on this new network. We built the first protein...