Pub Date : 2019-06-17DOI: 10.1109/OCEANSE.2019.8867205
Qiulong Yang, Kunde Yang, Chunlong Huang, Yukun Zhang, Xingyue Zhou, Runze Xue, Hong Liu
Typhoons Soulik and Nida passed by receivers during ambient noise measurement in deep ocean in WP2013 and SCS2016. When the typhoons were quite close to the receivers, the noise levels increased and exceeded 10 dB. In this study, the moment when a typhoon is closest to receivers is chosen as the breakpoint, and the measured ambient noises are divided into those before and after the typhoon. Linear regression is conducted to analyze the relationships between noise levels and the local wind speed (WS) and air pressure, significant wave height (SWH) during a typhoon period. A linear relationship occurs between noise levels and the logarithm of WS, between noise levels and the logarithm of SWH, and between noise levels and the logarithm of air pressure. The slope before a typhoon is less than that after a typhoon due to the contamination of distant noise sources. The noise levels during a typhoon period can be formulated with the local WS or SWH in deep ocean and were 5 dB less those of Wenz curves at the same wind force. It is deduced that the sea condition during typhoon period did not developed completely at the same wind force compared with that in Wenz curves.
{"title":"Experimental investigation of oceanic ambient noise generated by typhoon in deep ocean","authors":"Qiulong Yang, Kunde Yang, Chunlong Huang, Yukun Zhang, Xingyue Zhou, Runze Xue, Hong Liu","doi":"10.1109/OCEANSE.2019.8867205","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867205","url":null,"abstract":"Typhoons Soulik and Nida passed by receivers during ambient noise measurement in deep ocean in WP2013 and SCS2016. When the typhoons were quite close to the receivers, the noise levels increased and exceeded 10 dB. In this study, the moment when a typhoon is closest to receivers is chosen as the breakpoint, and the measured ambient noises are divided into those before and after the typhoon. Linear regression is conducted to analyze the relationships between noise levels and the local wind speed (WS) and air pressure, significant wave height (SWH) during a typhoon period. A linear relationship occurs between noise levels and the logarithm of WS, between noise levels and the logarithm of SWH, and between noise levels and the logarithm of air pressure. The slope before a typhoon is less than that after a typhoon due to the contamination of distant noise sources. The noise levels during a typhoon period can be formulated with the local WS or SWH in deep ocean and were 5 dB less those of Wenz curves at the same wind force. It is deduced that the sea condition during typhoon period did not developed completely at the same wind force compared with that in Wenz curves.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126411215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to meet the needs of fast detection and classification of different marine targets during intelligent unmanned surface vehicle (USV) operations, In this paper, I introduce a convolutional neural network based on one of the most effective object detection algorithms, named YOLOv3, to classify and detect images of different marine targets. Firstly, I showed the network structure of the algorithm in this paper. Then, I explained how I got the optimal anchor box parameter of the algorithm. Finally, I improved the activation function to make the algorithm more robust to noise. The final results show that the MAP of the detector in this paper is 91.83%,and we reach a detection rate of 58.3 fps by improving the YOLOV3 algorithm.
{"title":"Fast Classification and Detection of Marine Targets in Complex Scenes with YOLOv3","authors":"Tingchao Shi, Mingyong Liu, Yang Yang, Sainan Li, Peixin Wang, Yuxuan Huang","doi":"10.1109/OCEANSE.2019.8867137","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867137","url":null,"abstract":"In order to meet the needs of fast detection and classification of different marine targets during intelligent unmanned surface vehicle (USV) operations, In this paper, I introduce a convolutional neural network based on one of the most effective object detection algorithms, named YOLOv3, to classify and detect images of different marine targets. Firstly, I showed the network structure of the algorithm in this paper. Then, I explained how I got the optimal anchor box parameter of the algorithm. Finally, I improved the activation function to make the algorithm more robust to noise. The final results show that the MAP of the detector in this paper is 91.83%,and we reach a detection rate of 58.3 fps by improving the YOLOV3 algorithm.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131920665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-17DOI: 10.1109/OCEANSE.2019.8867198
H. Pham, T. Soriano, V. Ngo
The goal of this study is to realize a component architecture of embedded control systems for coordination of UUV based on a Model Driven Engineering approach. We firstly have studied in end-to-end flow latency and faults for an embedded system of UUV in scenario-case coordinated control of multiple UUVs. A basic declarative model and its instance are then implemented to illustrate a scheduling analysis of the system instance. The abstraction of the complex embedded system is represented in consideration of AADL system, process, and device components. Following on this representation, the run-time composition of all elements, allocate software to hardware resources, and assign values to properties of the elements are detailed for analyzing and creating an instance of coordination system. Specially, it is taken into account for inspecting and developing a controller of low-cost underwater drone such as BlueROV, an open-source platform for a research prototype and educational purposes.
{"title":"Applying AADL to realize embedded control systems for coordination of multiple low-cost underwater drones","authors":"H. Pham, T. Soriano, V. Ngo","doi":"10.1109/OCEANSE.2019.8867198","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867198","url":null,"abstract":"The goal of this study is to realize a component architecture of embedded control systems for coordination of UUV based on a Model Driven Engineering approach. We firstly have studied in end-to-end flow latency and faults for an embedded system of UUV in scenario-case coordinated control of multiple UUVs. A basic declarative model and its instance are then implemented to illustrate a scheduling analysis of the system instance. The abstraction of the complex embedded system is represented in consideration of AADL system, process, and device components. Following on this representation, the run-time composition of all elements, allocate software to hardware resources, and assign values to properties of the elements are detailed for analyzing and creating an instance of coordination system. Specially, it is taken into account for inspecting and developing a controller of low-cost underwater drone such as BlueROV, an open-source platform for a research prototype and educational purposes.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131792527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-17DOI: 10.1109/OCEANSE.2019.8867407
J. Ribeiro, J. Gomes, R. Dinis
This work aims to explore Orthogonal Signal-Division Multiplexing, an existing modulation format that was recently introduced in underwater communications [1], [2], [3], with flexible spectrum management and relatively simple equalization techniques. The matrix interpretation of the modulation allows a turbo like receiver to be implemented. A MIMO extension based on interference cancellation is developed to increase the spectral efficiency of the system. The effectiveness of MIMO OSDM is studied here through simulation, to characterize the efficiency of the link as a function of the time-frequency partitioning, as well as the impact of several parameters that control the iterative decoding process at the receiver.
{"title":"An Interference Cancellation Approach for MIMO Orthogonal Signal-Division Multiplexing in Time-Varying Channels","authors":"J. Ribeiro, J. Gomes, R. Dinis","doi":"10.1109/OCEANSE.2019.8867407","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867407","url":null,"abstract":"This work aims to explore Orthogonal Signal-Division Multiplexing, an existing modulation format that was recently introduced in underwater communications [1], [2], [3], with flexible spectrum management and relatively simple equalization techniques. The matrix interpretation of the modulation allows a turbo like receiver to be implemented. A MIMO extension based on interference cancellation is developed to increase the spectral efficiency of the system. The effectiveness of MIMO OSDM is studied here through simulation, to characterize the efficiency of the link as a function of the time-frequency partitioning, as well as the impact of several parameters that control the iterative decoding process at the receiver.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132699814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-17DOI: 10.1109/OCEANSE.2019.8867084
G. Papadakis, E. Filippas, D. Ntouras, K. Belibassakis
The present work focuses on the influence of viscosity, nonlinearities and 3D effects on the predicted performance of a submerged flapping wing. The computational tools used for the numerical investigation consist of in house computational fluid dynamics (CFD) and potential flow solvers. Numerical calculations obtained by both methods are presented over a range of motion parameters and compared against other methods and experimental data. Our analysis enlightens the importance of viscous, nonlinear and 3D effects to the operation of flapping foils. Additionally, a direct comparison between a CFD and a BEM solver is made highlighting the advantages and limitations of each method. The present methods could serve as useful tools for the assessment, preliminary design and control of the studied system for marine propulsion.
{"title":"Effects of viscosity and nonlinearity on 3D flapping-foil thruster for marine applications","authors":"G. Papadakis, E. Filippas, D. Ntouras, K. Belibassakis","doi":"10.1109/OCEANSE.2019.8867084","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867084","url":null,"abstract":"The present work focuses on the influence of viscosity, nonlinearities and 3D effects on the predicted performance of a submerged flapping wing. The computational tools used for the numerical investigation consist of in house computational fluid dynamics (CFD) and potential flow solvers. Numerical calculations obtained by both methods are presented over a range of motion parameters and compared against other methods and experimental data. Our analysis enlightens the importance of viscous, nonlinear and 3D effects to the operation of flapping foils. Additionally, a direct comparison between a CFD and a BEM solver is made highlighting the advantages and limitations of each method. The present methods could serve as useful tools for the assessment, preliminary design and control of the studied system for marine propulsion.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"425 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131856535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-17DOI: 10.1109/OCEANSE.2019.8867539
Lu Shen, B. Henson, Y. Zakharov, P. Mitchell
Underwater acoustic (UWA) communication suffers from the limited available bandwidth of acoustic links. We consider in-band full-duplex (FD) communication in UWA channels, which has the potential of doubling the channel capacity. The key challenge of FD operation is the strong self-interference (SI) introduced by the near-end transmission. For a time-invariant UWA channel, the SI can be efficiently cancelled using an adaptive filter. In practice, the time-varying reflections particularly introduced by the moving sea surface limit the cancellation performance. In this paper, we propose a two-stage SI cancellation scheme with a transceiver structure comprising one projector and two hydrophones. In the first stage, the stable SI path from each hydrophone is cancelled using a digital canceller based on the recursive least-squares (RLS) algorithm with dichotomous coordinate descent (DCD) iterations. In the second stage, the scheme tries to cancel the residual SI using an RLS-DCD-based adaptive beamformer. The beamformer combines the residual signals at the hydrophones in such a way to minimize the final residual SI. The cancellation performance of the proposed scheme is investigated using the Waymark simulator and with lake experiments. As demonstrated by the simulation results, the SI can be efficiently cancelled with the proposed two-stage SI cancellation scheme. The experimental results also demonstrate the capability of the adaptive beamformer in reducing the residual SI after digital cancellation.
{"title":"Two-Stage Self-Interference Cancellation for Full-Duplex Underwater Acoustic Systems","authors":"Lu Shen, B. Henson, Y. Zakharov, P. Mitchell","doi":"10.1109/OCEANSE.2019.8867539","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867539","url":null,"abstract":"Underwater acoustic (UWA) communication suffers from the limited available bandwidth of acoustic links. We consider in-band full-duplex (FD) communication in UWA channels, which has the potential of doubling the channel capacity. The key challenge of FD operation is the strong self-interference (SI) introduced by the near-end transmission. For a time-invariant UWA channel, the SI can be efficiently cancelled using an adaptive filter. In practice, the time-varying reflections particularly introduced by the moving sea surface limit the cancellation performance. In this paper, we propose a two-stage SI cancellation scheme with a transceiver structure comprising one projector and two hydrophones. In the first stage, the stable SI path from each hydrophone is cancelled using a digital canceller based on the recursive least-squares (RLS) algorithm with dichotomous coordinate descent (DCD) iterations. In the second stage, the scheme tries to cancel the residual SI using an RLS-DCD-based adaptive beamformer. The beamformer combines the residual signals at the hydrophones in such a way to minimize the final residual SI. The cancellation performance of the proposed scheme is investigated using the Waymark simulator and with lake experiments. As demonstrated by the simulation results, the SI can be efficiently cancelled with the proposed two-stage SI cancellation scheme. The experimental results also demonstrate the capability of the adaptive beamformer in reducing the residual SI after digital cancellation.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124537875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-17DOI: 10.1109/OCEANSE.2019.8867520
Lazar Atanackovic, Ruoyu Zhang, L. Lampe, R. Diamant
Achieving high data rate robust communication in shallow and harbour underwater acoustic (UA) environments can be a demanding challenge in the presence of shipping noise. Noise generated from nearby passing ships can lead to impulsive agitations which impair UA communication systems. Utilizing the assumption that impulse noise exhibits sparsity, we realize a compressed sensing (CS) based framework for noise estimation exploiting the pilot sub-carriers of UA orthogonal frequency-division modulation systems. Under the CS framework, we propose the use of a empirical Bayesian approach which first characterizes the statistical properties of shipping noise prior to conceiving an estimate. In addition, we invoke the K-SVD algorithm for dictionary learning. K-SVD iteratively forms a sparse representation for the class of shipping noise signals, which is later used for noise estimation. Numerical results show that the empirical Bayesian based signal recovery algorithm yields the best performance for interference estimation.
{"title":"Statistical Shipping Noise Characterization and Mitigation for Underwater Acoustic Communications","authors":"Lazar Atanackovic, Ruoyu Zhang, L. Lampe, R. Diamant","doi":"10.1109/OCEANSE.2019.8867520","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867520","url":null,"abstract":"Achieving high data rate robust communication in shallow and harbour underwater acoustic (UA) environments can be a demanding challenge in the presence of shipping noise. Noise generated from nearby passing ships can lead to impulsive agitations which impair UA communication systems. Utilizing the assumption that impulse noise exhibits sparsity, we realize a compressed sensing (CS) based framework for noise estimation exploiting the pilot sub-carriers of UA orthogonal frequency-division modulation systems. Under the CS framework, we propose the use of a empirical Bayesian approach which first characterizes the statistical properties of shipping noise prior to conceiving an estimate. In addition, we invoke the K-SVD algorithm for dictionary learning. K-SVD iteratively forms a sparse representation for the class of shipping noise signals, which is later used for noise estimation. Numerical results show that the empirical Bayesian based signal recovery algorithm yields the best performance for interference estimation.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116255696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Underwater navigation that relies solely on dead reckoning suffers from unbounded position error growth. In traditional positioning method based on TDOA, usual interference from multipath reflections and background noise lead to the choice of some fault correlation peaks and low SNR. In the paper, the combination of LBL and Doppler difference of an AUV will be expected to enable survey accuracy at any water depth where the position of an underwater acoustic transmitter equipped on the moving platform can be determined. And based on pattern time delay shift coding pulse, frequency estimation of Doppler shift in LBL method could be described with Doppler effects from AUV moving. Thus, with the intersection of two contours of Doppler difference, the positioning solution of AUV and the relative trial results could be finished and verified.
{"title":"Doppler Difference Aided Long Baseline Navigation for a Fast-Moving Underwater Vehicle","authors":"Yongqing Wu, Xiaochuan Ma, Shefeng Yan, Dongyu Yuan, Jilong Li, Youming Li","doi":"10.1109/OCEANSE.2019.8867495","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867495","url":null,"abstract":"Underwater navigation that relies solely on dead reckoning suffers from unbounded position error growth. In traditional positioning method based on TDOA, usual interference from multipath reflections and background noise lead to the choice of some fault correlation peaks and low SNR. In the paper, the combination of LBL and Doppler difference of an AUV will be expected to enable survey accuracy at any water depth where the position of an underwater acoustic transmitter equipped on the moving platform can be determined. And based on pattern time delay shift coding pulse, frequency estimation of Doppler shift in LBL method could be described with Doppler effects from AUV moving. Thus, with the intersection of two contours of Doppler difference, the positioning solution of AUV and the relative trial results could be finished and verified.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122114617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-17DOI: 10.1109/OCEANSE.2019.8867427
Jing Liu, Yanhui Wei, Shenggong Hao
For the problem of fault subsystem identification in INS/DVL/USBL integrated navigation system, a fault diagnosis method based on SVR for INS/DVL/USBL integrated navigation system is proposed to improve the reliability of underwater robot integrated navigation system. The method firstly realizes the fault diagnosis of the integrated navigation system by the residual test method, but the traditional residual test method can only detect the fault and cannot accurately identify the fault subsystem. Therefore, a regression prediction model based on support vector machine is constructed to predict the state of the inertial navigation system. The fault diagnosis of the inertial navigation is assisted according to the difference between the output of the system model and the output of the prediction model, so as to identify the fault source of the system. Simulation experiments show that the method can diagnose the fault subsystem quickly and accurately. Through fault isolation and system reconstruction, the accuracy of the navigation system can be guaranteed, and the reliability and anti-interference of the integrated navigation system can be improved.
{"title":"A Fault Diagnosis Method for INS/DVL/USBL Integrated Navigation System Based on Support Vector Regression","authors":"Jing Liu, Yanhui Wei, Shenggong Hao","doi":"10.1109/OCEANSE.2019.8867427","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867427","url":null,"abstract":"For the problem of fault subsystem identification in INS/DVL/USBL integrated navigation system, a fault diagnosis method based on SVR for INS/DVL/USBL integrated navigation system is proposed to improve the reliability of underwater robot integrated navigation system. The method firstly realizes the fault diagnosis of the integrated navigation system by the residual test method, but the traditional residual test method can only detect the fault and cannot accurately identify the fault subsystem. Therefore, a regression prediction model based on support vector machine is constructed to predict the state of the inertial navigation system. The fault diagnosis of the inertial navigation is assisted according to the difference between the output of the system model and the output of the prediction model, so as to identify the fault source of the system. Simulation experiments show that the method can diagnose the fault subsystem quickly and accurately. Through fault isolation and system reconstruction, the accuracy of the navigation system can be guaranteed, and the reliability and anti-interference of the integrated navigation system can be improved.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116144983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-17DOI: 10.1109/OCEANSE.2019.8867259
Hyunju Blemel, A. Bennett, Silas Hughes, Kathleen Wienhold, Thomas Flanigan, M. Lutcavage, C. Lam, Clayward Tam
Conventional tagging methods using plastic streamer ID tags have been the most widely used tool for elucidating fish movements in the last half century. However, this universal method for fish tagging is not optimal for tracking global fish populations because it requires fishermen to log details of each catch while they are also attempting to perform all of their usual at-sea activities. Under the current method, fishermen are asked to remember the time and location of the catch, in addition to its size, weight, and condition of the fish and then record it on a data card or similar. The potentially long delay between the recapture event when a previously tagged fish is caught and the associated data entry creates a barrier to accurate data collection and may result in poor data logging. Building on the work of the Olin College of Engineering Intelligent Vehicles Laboratory, Point Road Solutions, LLC (PRS), in partnership with The Large Pelagics Research Center (LPRC) and the Pacific Islands Fisheries Group (PIFC), the research team has been developing a more streamlined, automated method for fisherman to submit data from fish tags while at sea.In the new process, a fish is tagged with a modified streamer tag carrying a rice grain radio-frequency identification (RFID), chip. A fisherman would scan the tag at or near the time of capture with a compatible RFID reader, which will transmit the fish’s tag information to a personal smartphone pre-installed with our reporting application (Hawaii, or "HI", Tag App). The application then appends the tag ID with information such as location, date and time from the phone. Initial tests conducted off the island of Hawaii (Summer 2016) demonstrated that the HI Tag application greatly improved the process of fish tagging and reporting when compared to the current manual data logging method. However, during the 2017 sea trials the HI Tag required extensive interaction with a phone or tablet to properly function. This was deemed inappropriate by the fishermen who asked for a simpler, more streamlined process which was compatible with the kind of environment and work flow found on a fishing vessel at sea. PRS therefore constructed a custom-designed RFID reader with an integrated camera and Bluetooth, designed for use in the kind of challenging environments found on a small working fishing vessels. With this addition, fishermen could scan a tag and image a fish without ever touching their phone or tablet. The RFID information and photo would be automatically transmitted to the phone or tablet via Bluetooth and then associated with time, date and location data on the phone. We tested the improved device off Kona-Kailua, Hawaii, in the summer of 2018 during what turned out to be one of the most prolific Yellowfin fishing periods in living memory. The team then conducted a post-mission interview and debriefing with the local fishermen to determine what aspects of the new generation tagging system were improved and wh
{"title":"Improved Fish Tagging Technology : Field Test Results and Analysis","authors":"Hyunju Blemel, A. Bennett, Silas Hughes, Kathleen Wienhold, Thomas Flanigan, M. Lutcavage, C. Lam, Clayward Tam","doi":"10.1109/OCEANSE.2019.8867259","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867259","url":null,"abstract":"Conventional tagging methods using plastic streamer ID tags have been the most widely used tool for elucidating fish movements in the last half century. However, this universal method for fish tagging is not optimal for tracking global fish populations because it requires fishermen to log details of each catch while they are also attempting to perform all of their usual at-sea activities. Under the current method, fishermen are asked to remember the time and location of the catch, in addition to its size, weight, and condition of the fish and then record it on a data card or similar. The potentially long delay between the recapture event when a previously tagged fish is caught and the associated data entry creates a barrier to accurate data collection and may result in poor data logging. Building on the work of the Olin College of Engineering Intelligent Vehicles Laboratory, Point Road Solutions, LLC (PRS), in partnership with The Large Pelagics Research Center (LPRC) and the Pacific Islands Fisheries Group (PIFC), the research team has been developing a more streamlined, automated method for fisherman to submit data from fish tags while at sea.In the new process, a fish is tagged with a modified streamer tag carrying a rice grain radio-frequency identification (RFID), chip. A fisherman would scan the tag at or near the time of capture with a compatible RFID reader, which will transmit the fish’s tag information to a personal smartphone pre-installed with our reporting application (Hawaii, or \"HI\", Tag App). The application then appends the tag ID with information such as location, date and time from the phone. Initial tests conducted off the island of Hawaii (Summer 2016) demonstrated that the HI Tag application greatly improved the process of fish tagging and reporting when compared to the current manual data logging method. However, during the 2017 sea trials the HI Tag required extensive interaction with a phone or tablet to properly function. This was deemed inappropriate by the fishermen who asked for a simpler, more streamlined process which was compatible with the kind of environment and work flow found on a fishing vessel at sea. PRS therefore constructed a custom-designed RFID reader with an integrated camera and Bluetooth, designed for use in the kind of challenging environments found on a small working fishing vessels. With this addition, fishermen could scan a tag and image a fish without ever touching their phone or tablet. The RFID information and photo would be automatically transmitted to the phone or tablet via Bluetooth and then associated with time, date and location data on the phone. We tested the improved device off Kona-Kailua, Hawaii, in the summer of 2018 during what turned out to be one of the most prolific Yellowfin fishing periods in living memory. The team then conducted a post-mission interview and debriefing with the local fishermen to determine what aspects of the new generation tagging system were improved and wh","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115277662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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