scholarly journals Data fusion of multi-spectral cameras on a low-power processing platform for self-sufficient outdoor operation

2019 ◽  
Author(s):  
Andreas Reichel ◽  
Nico Peter ◽  
Jens Döge ◽  
Holger Priwitzer ◽  
André Kasper ◽  
...  
Keyword(s):  
Data Fusion ◽  
Low Power ◽  
Processing Platform

Key Technology for Wireless Sensor Data Fusion

2014 ◽  
Vol 701-702 ◽  
pp. 505-509
Author(s):  
Zhi Qiang Kang ◽  
Rui Feng Cheng ◽  
Wei Chu
Keyword(s):  
Data Fusion ◽  
Low Power ◽  
Coal Mine ◽  
Collection Efficiency ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Support Pressure ◽  
Single Chip ◽  
Large Power ◽  
Redundant Data

Using wireless sensors network (WSN) to collect coal mine hydraulic support pressure data , the method to solve the drawbacks of wired sensors . But the lack of WSN transmission performance in the coal mine : the transmission distance is short , large power consumption , short life cycle . Improve working methods for WSN : DIGI low-power sensor nodes ; using low-power single-chip Wake and Sleep MPS430149 at checking time ; core is a data fusion process , in the process of collecting data from all nodes , the use of local computing and storage nodes the ability to process the data , removing redundant data and minimize the amount of data transmitted within the network , improve data collection efficiency , achieve energy saving role in enhancing the network of life . The results show that the method is effective in improving the life and efficiency of WSN .

Design and Implementation of a Compact Integrated Navigation System for Micro Multi-Propeller Multifunction Aerial Robots

2014 ◽  
Vol 556-562 ◽  
pp. 1553-1559 ◽  
Author(s):  
Chang Liu Zha ◽  
Xi Lun Ding ◽  
Yu Shu Yu ◽  
Xue Qiang Wang
Keyword(s):  
Low Power ◽  
Navigation System ◽  
Low Cost ◽  
Computational Cost ◽  
Measurement Unit ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Aerial Robots ◽  
Navigation Data ◽  
Processing Platform

Micro Multi-propeller Multifunction Aerial Robot (MMAR) needs a low-cost, small-size, low-power and lightweight navigation system. To meet these requirements, a compact navigation system for micro MMARs is designed and implemented. The system consists of a GPS receiver, a MEMS inertial measurement unit (IMU), a barometer, a magnetometer and a dual microprocessors navigation processing platform. According to the characteristics of the sensors used, the optimized Kalman Filter (KF) is designed to implement the navigation data fusion with less computational cost. The test results show that the system’s small size, low power consumption, light weight and better dynamic accuracy can meet the requirements of micro MMAR autonomous flight.

A Multi-Channel Audio Signal Processing Platform Based on DSP

2011 ◽  
Vol 121-126 ◽  
pp. 1858-1862
Author(s):  
Jie Gao ◽  
Liang Wang ◽  
Jing Min Ma
Keyword(s):  
Signal Processing ◽  
Power Consumption ◽  
Low Power ◽  
Interface Design ◽  
High Performance ◽  
Audio Signal ◽  
Low Power Consumption ◽  
Audio Signal Processing ◽  
Hardware Interface ◽  
Processing Platform

This paper presented a multi-channel audio signal processing platform based on TMS320VC5509A. It introduced the system basic circuit and the hardware interface design of TLV320AIC23B and TMS320VC5509A. The platform can achieve input four-channel signal and output four-channel simultaneously. Due to its low power consumption, high performance and portable feature, the platform has been used in the system of noise reduction headphone.

scholarly journals Construction of an Intelligent Processing Platform for Equestrian Event Information Based on Data Fusion and Data Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Zhong Wu ◽  
Chuan Zhou
Keyword(s):  
Data Mining ◽  
Cluster Analysis ◽  
Data Fusion ◽  
Recall Rate ◽  
Development Environment ◽  
Intelligent Processing ◽  
Equestrian Sports ◽  
Event Information ◽  
Processing Platform ◽  
Precision Rate

In the past two years, equestrian sports have become more and more popular with the public. Due to the comprehensive development of equestrian preparations for the 2020 Olympic Games in China, the equestrian sports industry presents an unprecedented favorable development environment in China. This article is aimed at studying the construction of an equestrian event information intelligent processing platform based on data fusion and data mining. This article introduces the relevant theoretical knowledge of data mining and data fusion, including the description of the concept of data mining, the common analysis methods and algorithms of data mining, the basic concepts of data fusion, and the functional structure of data fusion. It discusses various algorithms in cluster analysis and focuses on the analysis of distance measurement and similarity coefficient in cluster analysis. In the experimental part, in order to intelligently process and acquire information, an information intelligent processing platform is constructed based on data fusion and data mining technology. The experimental results of this paper show that the precision rate, recall rate, and F -score of the platform under closed test are much higher than those under open test, and the precision rate is increased by about 7.26%.

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