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NORBIT's WINGHEAD Wideband Multibeam Sonar Applied for Subsea Leakage Detection

An oil slick was seen on the surface of Nootka Sound and staining on rocks of nearby Bligh Island, west of Vancouver Island, Canada, in late 2020. Thi. ....

Vancouver Island , British Columbia , Nootka Sound , Kongsberg Hi , Positioning Software Qinsy , Marine Group , Holland America Line , Bligh Island , Resolve Marine Group , Seahorse Geomatics , Xblue Phins Subsea , Atlantic Condor , Detect Subsea , Historic Shipwreck , Positioning Software , Water Column , Data Acquisition ,

"Data Collection in Multi-Hop Mobile Sink Aided Backscatter IoT Network" by Jia Fei, Kwan Wu Chin et al.

This paper studies a novel wireless powered Internet of Things (IoT) network that consists of (a) a Hybrid Access Point (HAP) that charges devices and also helps facilitate backscattering transmissions, (b) devices that use active Radio Frequency (RF) and backscattering transmissions, and (c) a mobile data collector. Our aim is to maximize the amount of data received by the HAP and data collector. The main problem is to determine the charging duration of the HAP and link activation schedule of devices. We formulate a novel Mixed Integer Linear Program (MILP) and also propose a heuristic algorithm named Reduced-Set Linear Program Approximation (RS-LPA). The results show that (i) throughput increases with the number of backscatter transmission sets, (ii) smaller amount of data is uploaded to the mobile collector when sampling cost is low, and (iii) the throughput of RS-LPA is on average 10.55% lower than MILP. ....

Integer Linear Program , Linear Program Approximation , Hybrid Access Point , Radio Frequency , Mixed Integer Linear Program , Reduced Set Linear Program Approximation , Autonomous Aerial Vehicles , Obile Node , Radio Frequency , Resource Allocation , If Signals , Wireless Charging ,

"On Max-Min Complete Targets Sampling in Backscatter-Aided RF Powered I" by Rui Yang, Changlin Yang et al.

This paper considers a Radio Frequency (RF) powered Internet of Things (IoT) network that exploits ambient backscatter communications to maximize the minimum number of samples of targets. We propose a Maximum Backscatter Opportunity Search (MBOS) heuristic algorithm to construct set covers to ensure complete targets coverage. Our results demonstrate that the performance of MBOS is within 91% of the optimal number of samples and it is 25% higher as compared to not using backscattering. ....

Radio Frequency , Maximum Backscatter Opportunity Search , Nternet Of Things , Mathematical Programming , Radio Frequency , Targets Monitoring , Wireless Power ,

Using Machine Learning to Derive Benthic Habitat Maps

The South African Council for Geoscience recently launched an initiative to optimize marine geophysical data collection in South African waters. The m. ....

South Africa , Free State , Table Bay , Western Cape , South African , Council For Geoscience , International Hydrographic Organization , African Council For Geoscience , South African Council , Mean Sea Level , Cape St Francis , Eastern Cape , Machine Learning Techniques , Tree Classifiers , Random Forests , Decision Tree Classifier , Random Forest , Benthic Habitat Maps Usingk Means , Automated Tools , Marine Imagery , Subphylum Crustacea , Class Ascidiacea , Sidescan Sonar , Ffshore Mapping , இலவசம் நிலை , மேசை வளைகுடா ,

"Maximizing Sampling Data Upload in Ambient Backscatter Assisted Wirele" by Ying Liu, Kwan Wu Chin et al.

This paper studies a novel problem that aims to maximize the number of uploaded samples by devices in wireless powered Internet of Things (IoTs) networks. To do so, it takes advantage of ambient backscatter communications (AmBC) to help sensor devices conserve energy, and thus leaving them with more energy to collect samples. We outline a Mixed Integer Linear Program (MILP) that aims to determine the operation mode of each device in each time slot in order to maximize the total amount of uploaded samples. We also present a heuristic approach to set the operation mode of devices based on their residual energy and data. Our results show that as compared to the case without AmBC, the total data uploaded by devices increases by 48% and 45% for the MILP and heuristic, respectively – both of which exploit AmBC. ....

Integer Linear Program , Mixed Integer Linear Program , Ambient Backscatter Communications , Data Communication , Nternet Of Things , Rink Schedule , Radio Frequency , Wireless Communication , Ireless Powered Networks , Wireless Sensor Networks , முழு நேரியல் ப்ரோக்ர்யாம் , கலப்பு முழு நேரியல் ப்ரோக்ர்யாம் ,