A proposal of location aware shopping assistance using memory-based resampling
The range of memory specifications of location aware shopping assistance poses difficulties for the developer (in terms of increased time and effort) when it comes to developing a resampling algorithm for mobile devices. Thus, a new resampling algorithm is required with a flexible capacity that woul...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/81820/ http://dx.doi.org/10.1007/978-981-10-5281-1_54 |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | The range of memory specifications of location aware shopping assistance poses difficulties for the developer (in terms of increased time and effort) when it comes to developing a resampling algorithm for mobile devices. Thus, a new resampling algorithm is required with a flexible capacity that would cater for a range of computing device memory devices specifications. This paper develops a memory based resampling in standard particle filter. The memory resampling is capable to read memory specifications of mobile devices before determines the most suitable resampling functions. The authors aim to extend this work in future by implementing their proposed method in a number of different emerging applications (in example, medical applications and real time locator systems). |
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