Publications by authors named "Jiong Niu"

2 Publications

  • Page 1 of 1

A Performance Evaluation Scheme for Multiple Object Tracking with HFSWR.

Sensors (Basel) 2019 Mar 21;19(6). Epub 2019 Mar 21.

The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China.

High-frequency surface wave radar (HFSWR) can detect and continuously track ship objects in real time and beyond the horizon. When ships navigate in a sea area, their motions in a time period form a scenario. The diversity and complexity of the motion scenarios make it difficult to accurately track ships, in which failures such as track fragmentation (TF) are frequently observed. However, it is still unclear how and to what degrees the motions of ships affect the tracking performance, especially which motion patterns can cause tracking failures. This paper addresses this problem and attempts to undertake a first step towards providing an intensive quantitative performance assessment and vulnerability detection scheme for ship-tracking algorithms by proposing an evolutionary and data-mining-based approach. Low-dimensional scenarios in terms of multiple maneuvering ship objects are generated using a grammar-based model. Closed-loop feedback is introduced using evolutionary computation to efficiently collect scenarios that cause more and more tracking performance loss, which provides diversified cases for analysing using data-mining technique to discover indicators of tracking vulnerability. Results on different tracking algorithms show that more cluster and convergence patterns and longer duration of our convoy and cluster patterns in the scenarios can cause severer TF to HFSWR ship tracking.
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http://dx.doi.org/10.3390/s19061393DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471911PMC
March 2019

A Seabed Real-Time Sensing System for In-Situ Long-Term Multi-Parameter Observation Applications.

Sensors (Basel) 2019 Mar 12;19(5). Epub 2019 Mar 12.

Key Laboratory of Marine Environment and Geological Engineering Shandong Province, Ocean University of China, Qingdao 266100, China.

Aiming at the real-time observation requirements in marine science and ocean engineering, based on underwater acoustic communication and satellite communication technology, a seabed real-time sensing system for in-situ long-term multi-parameter observation applications (SRSS/ILMO) is proposed. It consists of a seabed observation system, a sea surface relay transmission buoy, and a remote monitoring system. The system communication link is implemented by underwater acoustic communication and satellite communication. The seabed observation system adopts the "ARM + FPGA" architecture to meet the low power consumption, scalability, and versatility design requirements. As a long-term unattended system, a two-stage anti-crash mechanism, an automatic system fault isolation design, dual-medium data storage, and improved Modbus protocol are adopted to meet the system reliability requirements. Through the remote monitoring system, users can configure the system working mode, sensor parameters and acquire observation data on demand. The seabed observation system can realize the observation of different fields by carrying different sensors such as those based on marine engineering geology, chemistry, biology, and environment. Carrying resistivity and pore pressure sensors, the SRSS/ILMO powered by seawater batteries was used for a seabed engineering geology observation. The preliminary test results based on harbor environment show the effectiveness of the developed system.
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http://dx.doi.org/10.3390/s19051255DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427298PMC
March 2019
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