Aiming at the privacy and security of data acquisition and monitoring in wireless sensor networks, an improved data fusion method, IICKPDA, is proposed for privacy protection in wireless sensor networks. The method is based on the ICKPDA algorithm, which optimizes the deadline between the same ...
Peiyi Zhu, Weili Xiong, Ningning Qin, Baoguo Xu, "D-S Theory Based on an Improved PSO for Data Fusion", Journal of Networks, v 7, n 2,p. 370-376, 2012Zhu P Y, Xiong W L. Qin N N, Xu B G. D-S theory based on an improved PSO for data fusion [J]. Journal of Networks...
An improved spatiotemporal fusion approach based on multiple endmember spectral mixture analysis. Sensors, 2019, 19: 2443 NDVI-贝叶斯时空融合模型首先使用多年平均MODIS NDVI时间序列,在贝叶斯框架下约束解混过程,得到初始降尺度NDVI,然后利用初始NDVI与真实Landsat NDVI(其他日期)的关系,生成高空间和时间分辨率的...
The Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method was developed in this study to fill this need. In accord with the distinctive characteristics of NDVIs with large data variance and high spatial autocorrelation compared with raw reflectance bands, the IFSDAF method first produces a ...
Yi-Nung Chung, Hsin-Ta Chen, Pao-Hua Chou, and Maw-Rong Yang, 2007, "An Improved Estimator Using Multiple Sensor Data Fusion for Radar Maneuvering Target Tracking Systems", Journal of The Chinese Institute of Engineers, Vol. 30, No. 2, pp. 203-210....
consistent, more accurate, and more valuable information than any single data source”. Based on the previous definitions, we define data fusion as: “Jointly analyze multiple data sources to obtain improved information or refined data with lower cost, higher quality and more relevant information”....
The atrous convolution kernel is introduced to expand the field of view of the FAC-CNN and extracts fusion sequence features without repeated computation, resulting in improved stability. The 1D-CNN is added to extract features after atrous convolution. In addition, batch normalization optimizes the...
In this paper, we proposed an enhanced SSD, called ESSD, that improved the performance of the conventional SSD by fusing feature maps of different output layers, instead of growing layers close to the input data. Our method used two-way transfer of feature information and feature fusion to ...
38 proposed a scalable hierarchical Byzantine fault-tolerant algorithm SHBFT to form a node structure with the same characteristics, which facilitates data storage and node management33,39. It can reduce the size of nodes and simplify the complexity of consensus. The SG-PBFT algorithm33 improved ...
Self-Attention Convolutional Neural Network for Improved MR Image Reconstruction Yan Wu, Yajun Ma, Jing Liu, Jiang Du, and Lei Xing [01 April 2019] [Information Science] [Paper] A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction ...