PROJECT TITLE :

Transferring Compressive-Sensing-Based Device-Free Localization Across Target Diversity

ABSTRACT:

Device-free localization (DFL) plays an important role in many applications, such as wildlife population and migration tracking. Most of current DFL systems leverage the distorted received signal strength (RSS) changes to localize the target(s). However, they assume a fixed distribution of the RSS amendment measurements, although they are distorted by completely different types of targets. It inevitably causes the localization to fail if the targets for modeling and testing belong to different categories. This paper presents TLCS—a transferring compressive sensing based DFL approach—that employs a rigorously designed transferring operate to transfer the distorted RSS changes across totally different categories of targets into a latent feature space, where the distributions of the distorted RSS change measurements from different categories of targets are unified. A benefit of this approach is that the identical transferred sensing matrix can be shared by completely different classes of targets, leading to a substantial reduction within the human efforts. The results of experiments illustrate the efficacy of the TLCS.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Laser Shock-Induced Conformal Transferring of Functional Devices on 3-D Stretchable SubstratesABSTRACT:This paper discussed a prime-down integration method to achieve the 3-dimensional (three-D) microscale conformal
PROJECT TITLE : Distributed Mobile Sink Routing for Wireless Sensor Networks A Survey - 2014 ABSTRACT: The concentration of data traffic towards the sink in a wireless sensor network causes the nearby nodes to deplete their
PROJECT TITLE :Ranking on Data Manifold with Sink Points - 2013ABSTRACT:Ranking is an important problem in various applications, such as Information Retrieval (IR), natural language processing, computational biology, and social
PROJECT TITLE :A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data - 2013ABSTRACT:Feature selection involves identifying a subset of the most useful features that produces compatible results as

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry