Research on a reference signal optimisation algorithm for indoor Bluetooth positioning

Abstract GPS has a sharp performance decline in terms of accuracy indoors due to the complex building structure. A combined algorithm, targeting at received signal strength indication (RSSI) calibration optimisation, depending on deep neural network training via input vector Γ and the target output vector Ψ, termed reference signal optimisation algorithm (RSOA) is proposed to improve the positioning accuracy in the indoor Bluetooth positioning networks. Experimental results show that the relative error of the proposed RSOA between the estimated results and the measured ones can reach as low as 0.2%, and the absolute errors can be reduced to 0.13 m at most within 10 m.

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Modeling Complex Building Structure (LoD2) Using Image-Based Point Cloud

2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS) ◽

10.1109/ipas.2018.8708864 ◽

2018 ◽

Author(s):

Wael AHMED ◽

Wenzhong Shi ◽

Wenbin XU

Keyword(s):

Point Cloud ◽

Building Structure ◽

Complex Building

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Abstract Semantic Associative Network Training: A Replication and Update of an Abstract Word Retrieval Therapy Program

American Journal of Speech-Language Pathology ◽

10.1044/2020_ajslp-19-00066 ◽

2020 ◽

Vol 29 (3) ◽

pp. 1574-1595

Author(s):

Chaleece W. Sandberg ◽

Teresa Gray

Keyword(s):

Concrete Word ◽

Abstract Word ◽

Distinct Pattern ◽

Word Retrieval ◽

Effect Sizes ◽

Associative Network ◽

Direct Training ◽

Network Training ◽

Abstract Words ◽

Concrete Words

Purpose We report on a study that replicates previous treatment studies using Abstract Semantic Associative Network Training (AbSANT), which was developed to help persons with aphasia improve their ability to retrieve abstract words, as well as thematically related concrete words. We hypothesized that previous results would be replicated; that is, when abstract words are trained using this protocol, improvement would be observed for both abstract and concrete words in the same context-category, but when concrete words are trained, no improvement for abstract words would be observed. We then frame the results of this study with the results of previous studies that used AbSANT to provide better evidence for the utility of this therapeutic technique. We also discuss proposed mechanisms of AbSANT. Method Four persons with aphasia completed one phase of concrete word training and one phase of abstract word training using the AbSANT protocol. Effect sizes were calculated for each word type for each phase. Effect sizes for this study are compared with the effect sizes from previous studies. Results As predicted, training abstract words resulted in both direct training and generalization effects, whereas training concrete words resulted in only direct training effects. The reported results are consistent across studies. Furthermore, when the data are compared across studies, there is a distinct pattern of the added benefit of training abstract words using AbSANT. Conclusion Treatment for word retrieval in aphasia is most often aimed at concrete words, despite the usefulness and pervasiveness of abstract words in everyday conversation. We show the utility of AbSANT as a means of improving not only abstract word retrieval but also concrete word retrieval and hope this evidence will help foster its application in clinical practice.

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