National Natural Science Foundation of China,grant number 62205120,funded this research.
In the RSSI-based positioning algorithm,regarding the problem of a great conflict between precision and cost,a low-power and low-cost synergic localization algorithm is proposed,where effective methods are adopted in ...
supported by the Key Research and Development Program of Shaanxi under Grant(2017DCXL-GY-04-02).
RSS fingerprint based indoor localization consists of two phases:offline phase and online phase.A RSS fingerprint database constructed at the offline phase may be outdated for online phase,which may significantly degr...
the National Natural Science Foundation of China(No.62071137);the Fundamental Research Funds for Central Universities(No.3072021CF0816);the Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology Project(No.AMCIT2102-04)。
In this paper,a classification method based on convolutional neural network(CNN)and received signal strength(RSS)is proposed to solve the problem of non-cooperative emitter beam state sensing in electrical situational...
the Synergy Project ADAM(Autonomous Discovery of Advanced Materials)funded by the European Research Council(Grant No.856405).
Estimation of the sample position is essential for working process monitoring and management in the life science automation laboratory.Bluetooth low-energy(BLE)beacons have the advantages of low price,small size and l...