All Outputs (3)

Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system. (2017)
Conference Proceeding
SABRA, A. and FUNG, W.-K. 2017. Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system. In Proceedings of OCEANS 2017, 18-21 September 2017, Anchorage, Alaska, USA. New York: IEEE [online], article number 8232185, pages 854-861. Available from: http://ieeexplore.ieee.org/document/8232185

Underwater mobile sensor node localization is a key enabling technology for several subsea missions. A novel scalable underwater localization scheme, called Best Suitable Localization Algorithm (BLSA), is proposed to dynamically fuse multiple positio... Read More about Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system..

A pilot study on aeronautical surveillance system for drone delivery using heterogeneous software defined radio framework. (2017)
Conference Proceeding
TERRAZAS GONZALEZ, J.D. and FUNG, W.-K. 2017. A pilot study on aeronautical surveillance system for drone delivery using heterogeneous software defined radio framework. In Shen, Y., Ming, A. and Wu, X. (eds.) Proceedings of the 2017 IEEE international conference on real-time computing and robotics (RCAR 2017), 14-18 July 2017, Okinawa, Japan. New York: IEEE [online], article number 8311912, pages 499-504. Available from: https://doi.org/10.1109/RCAR.2017.8311912

This paper presents a heterogeneous computing framework to interface single board computers (SBC) to (i) distinct type of computing nodes, (ii) distinct operating systems, and (iii) distinct software applications for aeronautical surveillance system... Read More about A pilot study on aeronautical surveillance system for drone delivery using heterogeneous software defined radio framework..

Theoretical investigation of positional influence of FBG sensors for structural health monitoring of offshore structures. (2017)
Conference Proceeding
JOHNY, J., SUMMERS, J., BHAVSAR, K., JOSEPH, G.P., FUNG, W.-K. and PRABHU, R. 2017. Theoretical investigation of positional influence of FBG sensors for structural health monitoring of offshore structures. In Proceedings of OCEANS 2017, 19-22 June 2017, Aberdeen, UK. New York: IEEE [online], article number 8084976, pages 2406-2410. Available from: https://doi.org/10.1109/OCEANSE.2017.8084976

Fibre Bragg Grating (FBG) is a key technology for condition monitoring of different offshore oil and gas structures. FBG sensors are used to sense different physical parameters such as strain, temperature, vibration, etc. This paper investigates the... Read More about Theoretical investigation of positional influence of FBG sensors for structural health monitoring of offshore structures..