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An Object-Centric Multi-source Heterogeneous Data Fusion Scheme
2021 IEEE International Conference on Information Communication and Software Engineering (ICICSE), 2021The rapid development of Internet services has increased the personal data we generate on the Internet. However, these personal data are collected and owned by the service provider, resulting in individuals not having the sovereignty of the data. In addition, personal data is stored separately in different data sources on the Internet, resulting in a ...
Huang Jiming, Sun Wei
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Multi-Source Data Fusion Method for Indoor Localization System
2020 IEEE/CIC International Conference on Communications in China (ICCC), 2020In this paper, a multi-source data fusion method for indoor localization system is designed to realize the high-accuracy locations. The indoor localization system consists of WiFi nodes, ultra-wideband (UWB) nodes and inertial measurement unit (IMU), where the IMU is integrated in a android smartphone.
Jishi Cui, Bin Li, Lyuxiao Yang, Nan Wu
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Multi-Source Ocean Gravity Anomaly Data Fusion Processing Method
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019The ocean gravity field has always been an important part of marine scientific research. Combining ship survey data and satellite data to obtain high-resolution and high-precision gravity data attracts many researchers. In this paper, we present two fusion methods of gravity anomaly data, which are data fusion based on the analysis of error trend ...
Jixiang Zhao +3 more
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A framework for multi-source data fusion
Information Sciences, 2004A general view of the multi-source data fusion process is presented. Some of the considerations and information that must go into the development of a multisource data fusion algorithm are described. Features that play a role in expressing user requirements are also described.
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Multi-source Radar Data Fusion via Support Vector Regression
Proceedings of the 2019 2nd International Conference on Signal Processing and Machine Learning, 2019Since the measurement error of surveillance sensors such as radar differs each other in the detection of the same target, it's necessary to fuse the multi-source radar data to estimate the true location of target and reduce the measurement error of radar. The key is to establish nonlinear regression model since the uncertainty of measurement error.
Zhanchun Gao, Yu Xiang
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Multi-source data fusion for aspect-level sentiment classification
Knowledge-Based Systems, 2020Abstract Neural networks have achieved great success in aspect-level sentiment classification due to their ability to learn sentiment knowledge from text. Generally, the effectiveness of neural networks relies on sufficiently large training corpora. However, existing aspect-level corpora are relatively small, which greatly limits the performance of ...
Fang Chen, Zhigang Yuan, Yongfeng Huang
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Using Granular Objects in Multi-source Data Fusion
2002We focus on the problem of fusing data from multiple sources. A framework based on a calculation of the support from each of the sources for a proposed fused value is introduced. A number of features are provided on which to base the support; among these are ideas of compatibility and reasonableness.
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Multi-Source Data Fusion Technology for Power Wearable System
2018 IEEE International Conference on Computer and Communication Engineering Technology (CCET), 2018With the rapid development of smart grid, wearable equipment for the electric field monitoring data have become diversified, has resulted in a set deployment in wearable device more sensors for detecting data, due to the diversity of data with the staff on the accuracy of the data requirements, it is necessary to efficient data acquisition of data ...
Liu Guanke +3 more
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Knowledge Graph for Multi-source Data Fusion Topics Research
2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), 2020Multi-source data fusion technology is an important cornerstone of research on big data and artificial intelligence. However, due to the limitations of previous knowledge and the reliance on research methods, it has been in a state of repeated research for a long time, which has affected the long-term development of multi-source data fusion technology.
Juan Wang +5 more
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Data Integration and Fusion of Multi-source Vector Map
2012 Fifth International Joint Conference on Computational Sciences and Optimization, 2012To the ambiguous question of data from multi-souce sources vector map, the paper described the overall framework, content and methods of data integration and fusion. Data integration includes unification of spatial reference, spatial data model and semantic coding.
Gang Li, Yong Gao, Min Zhang
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