Data fusion algorithm
Implementation of Multisensor Data Fusion Algorithm
... advanced data fusion (DF) aspects and concepts that we do not yet fully ...such data or information without using any automatic aids, because it has a powerful associative reasoning ability, evolved ...
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Wireless Network Monitoring System for River Ice Environment Based on a Data Fusion Algorithm
... K-means algorithm proposed in this paper has obvious advantages compared to the other 2 ...K-means algorithm increases from 18 time slots to only ...proposed algorithm can achieve the maximum ...
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Data fusion, a multidisciplinary technique
... a data fusion algorithm based on the Newton-Raphson method and expansion by Taylor series is derived to facilitate the integrated advantage of the two sensor ...new algorithm produces better ...
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Evaluation of BIRCH Clustering Algorithm for Big Data
... and data mining clustering algorithm which is introduced by Zhang et al ...clustering algorithm available. It is a data mining algorithm which is used to form a cluster over ...
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Multi-sensor Image Fusion Algorithm Based on Multiresolution Analysis
... the fusion of visible light color and infrared ...the fusion effect is not very ...space fusion that accords with the human eye observation ...
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Particle Filter Data Fusion Enhancements for MEMS IMU/GPS
... sensor fusion system on ...our algorithm to evaluate its performance and have compared the results obtained by the particle filter with those given by a classical extended Kalman ...
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Data mining and fusion
... of data is of paramount importance for DIID, as it is a measure of the credibility and reliability of the ...the data originated and any transformation it has ...the data it applies to, and thus will ...
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A fusion optimization algorithm of network element layout for indoor positioning
... annealing algorithm is a common heuristic al- gorithm whose performance largely depends on its com- ponents and ...annealing algorithm, which adopts closed- loop feedback control to combine the neighborhood ...
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Multiview video plus depth transmission via virtual-view-assisted complementary down/upsampling
... storage data size, for stereoscopic video, the MR format can save 3 / 8 transmitted texture data compared with FR format, while downsampling both views by half can reduce the amount of transmitted texture ...
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Multi-satellite Monitoring SST Data Fusion based on the Adaptive Threshold Clustering Algorithm
... the algorithm is its simple calculation, and if there is a priori knowledge of the sample distribution for the threshold value selection, we can get reasonable clustering results ...this algorithm also has ...
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A Novel Wireless Sensor Node Positioning Algorithm Based on Ant Colony Optimization Algorithm and Neural Network
... In node positioning, the intensity of the received signal is usually determined by range-based algorithms. It is inevitable that the signal intensity would be disturbed by noises like airflow and multipath. In this case, ...
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An Algorithm of Wireless Sensor Monitoring System
... information fusion model of wireless sensor networks is ana- ...and fusion scheme of the warehouse monitoring system based on wireless sensor network are analyzed and verified by ...mation fusion is ...
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MR-DFM: A Multi-path Routing Algorithm Based on Data Fusion Mechanism in Sensor Networks
... MR-DFM algorithm on NS-2 (Version ...GSPR algorithm [5] and the two-hop neighbor based Greedy-2 ...transmitting data packets and average energy ...50 data packets. The transmission rate of ...
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A common data fusion framework for space robotics : architecture and data fusion methods
... fused data products to ...localisation data into the format required by OG2, (3) Interface with the OG4 Instrument Control Unit (ICU) to configure a limited set of operational modes, (4) Interface with the ...
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Data Structures and Algorithm Analysis in Java, Third Edition - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... of data structure to use in the database system that manages customer accounts, we see that a data structure that has little concern for the cost of deletion, but is highly efficient for search and ...
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An effective study on data fusion models in wireless sensor networks
... WSN is also called as Wireless Sensor Actuator Network. It is designed to monitor and process the data from different environment such as temperature, pressure, sound etc. WSN is used in many applications namely ...
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Diabetes data prediction using data classification algorithm
... that data mining can add by means of necessary benefits to the blood stockpile ...kNN algorithm for cataloging of diabetic patients in their ...of data sets and for Naïve Bayesian classifier by ...
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Security Technology of Wireless Sensor Internet of Things Based on Data Fusion
... measured data cannot be completely consistent, and can only be approximately ...clustering data are inde- pendent of each ...the data reflects the fluctuation of the accidental error of the measured ...
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Text Data Fusion to Speech Signal Using Hash Function Algorithm
... this algorithm was to change the length of the intervals between salient points of the audio signal to embed ...the data was embedded in the Quantization ...other data embedding schemes as well. The ...
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