Domain adaptive methods for device diversity in indoor localization

To solve the problem of variations in radio frequency characteristics among different devices,transfer learning is applied to transform device diversity to domain adaptation in the indoor localization algorithm.A robust indoor localization algorithm based on the aligned fingerprints and ensemble learning called correlation alignment for localization(CALoc)is proposed with low computational complexity.The second-order statistical properties of fingerprints in the offline and online phase are needed to be aligned.The real-time online calibration method mitigates the impact of device heterogeneity largely.Without any time-consuming deep learning retraining process,CALoc online only needs 0.11 s.The effectiveness and efficiency of CALoc are verified by realistic experiments.The results show that compared to the traditional algorithms,a significant performance gain is achieved and that it achieves better positioning accuracy with a 19%improvement.

Umbrella Labyrinth Sedimentation Device Study

Umbrella-type mud-water diversion labyrinth sedimentation device,which is characterized by the combination of two swash plate and wing plate into an umbrella type with a set angle,the angle range of the two swash plate is 15º--100º,the vertical height of the swash plate is 60-70 mm,the parallel axis of the wing plate is the vertical direction,the height is 10-20 mm.the whole adopts the modular combination mode,and can be freely combined and disassembled according to different pond design,swash plate The interval(sedimentation distance)can be freely adjusted,mud take the mud road and water take the water road,to avoid the mutual interference of the water and mud road,to achieve the stability of the water quality.The turbidity of the sedimentation pond is low,stable in 0.3-2.0 NTU.

Indoor Localization with a Crowdsourcing Based Fingerprints Collecting

Fingerprint matching is adopted by a large family of indoor localization schemes,where collecting fingerprints is inevitable but all consuming.While the increasingly popular crowdsourcing based approach provides an opportunity to relieve the burden of fingerprints collecting,a number of formidable challenges for such an approach have yet been studied.For instance,querying in a large fingerprints database for matching process takes a lot of time and calculation;fingerprints collected by crowdsourcing lacks of robustness because of heterogeneous devices problem.Those are important challenges which impede practical deployment of the fingerprint matching indoor localization system.In this study,targeting on effectively utilizing and mining large amount fingerprint data,enhancing the robustness of fingerprints under heterogeneous devices' collection and realizing the real time localization response,we propose a crowdsourcing based fingerprints collecting mechanism for indoor localization systems.With the proposed approach,massive raw fingerprints will be divided into small clusters while diverse devices' uploaded fingerprints will be merged for overcoming device heterogeneity,both of which will contribute to reduce response time.We also build a mobile cloud testbed to verify the proposed scheme.Comprehensive real world experiment results indicate that the scheme can provide comparable localization accuracy.

Unconventional piezoelectric coefficients in perovskite piezoelectric ceramics

Piezoelectric ceramics exhibit three conventional piezoelectric coefficients,i.e.,d33,d31,d15,due to their∞mm crystal symmetry.Unconventional piezoelectric coefficients,such as d11,d12,d13,d14,d16,etc.,can only be extracted from piezoelectric single crystals of special symmetry with specific cut direction.Here we demonstrate a rotated poling method to realize unconventional piezoelectric coefficients in perovskite piezoelectric ceramics.This method is elaborated in theory and experimentally proven to be effective.Full nonzero piezoelectric coefficients in the 36 piezoelectric coefficients matrix can be obtained by combining these“quasi(effective)piezoelectric coefficients”with the conventional piezoelectric coefficients,which would expand applications in a wide variety of piezoelectric devices.