A Gaussian Mixture Model-Based Continuous Boundary Detection for 3D Sensor Networks

This paper proposes a high precision Gaussian Mixture Model-based novel Boundary Detection 3D (BD3D) scheme with reasonable implementation cost for 3D cases by selecting a minimum number of Boundary sensor Nodes (BNs) in continuous moving objects. It shows apparent advantages in that two classes of...

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Detalles Bibliográficos
Autores principales: Chen, Jiehui, Salim, Mariam B., Matsumoto, Mitsuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231165/
https://www.ncbi.nlm.nih.gov/pubmed/22163619
http://dx.doi.org/10.3390/s100807632

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231165/
https://www.ncbi.nlm.nih.gov/pubmed/22163619
http://dx.doi.org/10.3390/s100807632

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