Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rollyn T. Labuguen"'
Autor:
Edgar Marko Trono, Nathaniel Joseph C. Libatique, Rollyn T. Labuguen, Andrei Navarro, Gregory L. Tangonan, Ma. Leonora Guico
Publikováno v:
Procedia Environmental Sciences. 20:305-314
This study is about the design and development of an integrated web-based system for tropical rainfall monitoring. The system gathers data using a network of low-cost, Android-based acoustic rainfall sensors, a nationwide infrastructure of 5 GHz wire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a36ed8ba13a5590201c7c72f3ee0c737
Autor:
John Kevin T. Caballa, Cesar S. Pineda, Nathaniel Joseph C. Libatique, Rollyn T. Labuguen, Gregory L. Tangonan, Gemalyn Abrajano, Maria Leonora Guico
Publikováno v:
2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).
We present the first results of a nationwide experiment that uses 5GHz fixed wireless network as a rain alarm system through monitoring the changes in received signal levels. This paper proposes an alternative framework and correlation approach for r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aa3a20b6ab85d5dd934b476f2ea3598
https://doi.org/10.1109/issnip.2015.7106962
https://doi.org/10.1109/issnip.2015.7106962
Autor:
Matthew Cua, Raphael B. Alampay, C. M. Favila, Charles Devaney, Nathaniel Joseph C. Libatique, Jaime Luis E. Honrado, Gregory L. Tangonan, Alan B. Loreto, Rollyn T. Labuguen, Benny Palma, Vinni Canos, Carlos Alphonso F. Ezequiel, Jose Bacusmo
Publikováno v:
2014 International Conference on Unmanned Aircraft Systems (ICUAS).
This paper discusses the use of a low-cost unmanned aerial vehicle (UAV)-based remote sensing system for different applications, namely post-disaster assessment, environmental management and monitoring of infrastructure development. A collaborative r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fad369921e1ae4c253405cf5fa175d96
https://doi.org/10.1109/icuas.2014.6842266
https://doi.org/10.1109/icuas.2014.6842266
Autor:
E. J. P. Volante, G. Peren, R. Bayot, R. M. Macaraig, Gregory L. Tangonan, Rollyn T. Labuguen, Albert Causo, Nathaniel Joseph C. Libatique
This paper presents an automated fish fry counting by detecting the pixel area occupied by each fish silhouette using image processing. A photo of the fish fry in a specially designed container undergoes binarization and edge detection. For every ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afbbb8e0f79f29cb470ee946cdc089e1
http://hdl.handle.net/10220/16738
http://hdl.handle.net/10220/16738
