Pub Date : 2019-06-17DOI: 10.1109/OCEANSE.2019.8867301
T. Shimura, Motoharu Sonogashira, Hidekazu Kasahara, M. Iiyama
Determining fishing spots is an important decision-making for fishery. Fishers use environmental pattern information such as tide and vortex, and this process can be thought of as a good fishing spot determination problem from sea water temperature patterns. In this paper, we address this problem by a machine learning approach. Following an assumption that sea water temperature patterns of good fishing spots form some clusters, we discover these clusters and construct a classifier that discriminates whether an input sea water temperature pattern corresponds to good fishing spots clusters. We evaluated the effectiveness of our method using fishery data.
{"title":"Fishing Spot Detection Using Sea Water Temperature Pattern by Nonlinear Clustering","authors":"T. Shimura, Motoharu Sonogashira, Hidekazu Kasahara, M. Iiyama","doi":"10.1109/OCEANSE.2019.8867301","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867301","url":null,"abstract":"Determining fishing spots is an important decision-making for fishery. Fishers use environmental pattern information such as tide and vortex, and this process can be thought of as a good fishing spot determination problem from sea water temperature patterns. In this paper, we address this problem by a machine learning approach. Following an assumption that sea water temperature patterns of good fishing spots form some clusters, we discover these clusters and construct a classifier that discriminates whether an input sea water temperature pattern corresponds to good fishing spots clusters. We evaluated the effectiveness of our method using fishery data.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"62 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":"114141120","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.2019.8867528
Steven D. Lloyd, P. Lepper, S. Pomeroy
This paper details the research conducted on an open source flight controller for the use of monitoring surface and wave motion of water bodies. Testing was preformed on an industrial FANUC robotic arm, where a Pixhawk 2 was tested using pre-preprogrammed circles of varying sizes to mimic the amplitude of sinusoidal waveforms. Results show good to excellent comparability between the circle radii programmed, and the calculated displacement from the Pixhawk’s reported acceleration. This was achieved through the use of Fourier Transforms, filtering and integration of the acceleration logged by the Pixhawk during tests. Such a system is envisaged to be used in the reduction of flow noise a hydrophone experiences from surface deployments, where real time monitoring of the surface would raise and lower a deployed hydrophone in the water column to reduce or eliminate flow noise. Further to this, this system could be used for an early warning tsunami detection system, which could compliment systems already deployed, as well as being a cost effective solution for areas where no systems are currently in place.
{"title":"Unmanned Aerial System for use in Environmental Monitoring of Water Body Wave Motion","authors":"Steven D. Lloyd, P. Lepper, S. Pomeroy","doi":"10.1109/OCEANSE.2019.8867528","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867528","url":null,"abstract":"This paper details the research conducted on an open source flight controller for the use of monitoring surface and wave motion of water bodies. Testing was preformed on an industrial FANUC robotic arm, where a Pixhawk 2 was tested using pre-preprogrammed circles of varying sizes to mimic the amplitude of sinusoidal waveforms. Results show good to excellent comparability between the circle radii programmed, and the calculated displacement from the Pixhawk’s reported acceleration. This was achieved through the use of Fourier Transforms, filtering and integration of the acceleration logged by the Pixhawk during tests. Such a system is envisaged to be used in the reduction of flow noise a hydrophone experiences from surface deployments, where real time monitoring of the surface would raise and lower a deployed hydrophone in the water column to reduce or eliminate flow noise. Further to this, this system could be used for an early warning tsunami detection system, which could compliment systems already deployed, as well as being a cost effective solution for areas where no systems are currently in place.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"9 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":"130923553","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.2019.8867541
David Mas, Sebastien Vimeux, B. Clauzade, Pierre Lucas, Francois Hochet, Vincent Melot, Damien Thuaud
Heat exchanger performance assessment with a high precision level is one of the key success factors for OTEC. Evaluating heat transfer coefficient with high precision in OTEC working conditions - specifically low heat flux, low mass flux, and large dimensions – is not possible by applying existing methods, models, and heat transfer laws. Initial analysis shows that heat transfer is driven by thermal and hydraulic parameters, which are linked, and therefore require 2D or 3D numerical models to be accurately modelled.Naval Energies and Naval Group have therefore defined and applied a heat transfer qualification method to correlate a 3D CFD thermo-hydraulical model based on ANSYS Fluent code with reduced scale testing on a water/ammonia flooded shell & tube evaporator. The results meet the high expectations as an uncertainty of less than 10% was achieved on the shell side heat transfer coefficient of the flooded shell & tube evaporator in 2-phase flow conditions, lowering the uncertainty of Rankine Cycle electrical production to 2%.
{"title":"Heat exchanger heat transfer coefficient and CFD modelling","authors":"David Mas, Sebastien Vimeux, B. Clauzade, Pierre Lucas, Francois Hochet, Vincent Melot, Damien Thuaud","doi":"10.1109/OCEANSE.2019.8867541","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867541","url":null,"abstract":"Heat exchanger performance assessment with a high precision level is one of the key success factors for OTEC. Evaluating heat transfer coefficient with high precision in OTEC working conditions - specifically low heat flux, low mass flux, and large dimensions – is not possible by applying existing methods, models, and heat transfer laws. Initial analysis shows that heat transfer is driven by thermal and hydraulic parameters, which are linked, and therefore require 2D or 3D numerical models to be accurately modelled.Naval Energies and Naval Group have therefore defined and applied a heat transfer qualification method to correlate a 3D CFD thermo-hydraulical model based on ANSYS Fluent code with reduced scale testing on a water/ammonia flooded shell & tube evaporator. The results meet the high expectations as an uncertainty of less than 10% was achieved on the shell side heat transfer coefficient of the flooded shell & tube evaporator in 2-phase flow conditions, lowering the uncertainty of Rankine Cycle electrical production to 2%.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"59 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":"114802461","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.2019.8867164
Fankai Kong, Hua-qiu Ding, Weiming Su
The floating vertical axis tidal current turbine will be subjected to complex loads when it works in the marine environment, which will cause the whole power generating device to oscillate, affect the working performance of vertical axis turbine, reduce the life expectancy of the whole power generating device, and even make its structure destroyed. Therefore, it is necessary to study the movement and stress of the turbine under complex sea conditions. Using AQWA to simulate the motion response of floating carrier in frequency domain, the frequency domain analysis of the turbine is carried out, and the hydrodynamic characteristics of floating carrier are studied. The strength of the turbine under extreme conditions is analyzed by ANSYS static analysis module. The results show that the flange connection is the position with the largest stress concentration. The wave forces are superimposed on the turbine, and the strength and fatigue life of the flange joint of the main shaft of the turbine are analyzed. The results show that the strength of the flange and the flange bolts meet the design requirements. However, the flange bolts will not meet the expected life requirements under the extreme conditions, so the turbine needs to stop operation under the extreme sea conditions. The analysis and simulation results provide a theoretical basis for the practical application of hydraulic turbines.
{"title":"The Analysis of Structural Strength and Fatigue Strength of Vertical Axis Hydraulic Turbine","authors":"Fankai Kong, Hua-qiu Ding, Weiming Su","doi":"10.1109/OCEANSE.2019.8867164","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867164","url":null,"abstract":"The floating vertical axis tidal current turbine will be subjected to complex loads when it works in the marine environment, which will cause the whole power generating device to oscillate, affect the working performance of vertical axis turbine, reduce the life expectancy of the whole power generating device, and even make its structure destroyed. Therefore, it is necessary to study the movement and stress of the turbine under complex sea conditions. Using AQWA to simulate the motion response of floating carrier in frequency domain, the frequency domain analysis of the turbine is carried out, and the hydrodynamic characteristics of floating carrier are studied. The strength of the turbine under extreme conditions is analyzed by ANSYS static analysis module. The results show that the flange connection is the position with the largest stress concentration. The wave forces are superimposed on the turbine, and the strength and fatigue life of the flange joint of the main shaft of the turbine are analyzed. The results show that the strength of the flange and the flange bolts meet the design requirements. However, the flange bolts will not meet the expected life requirements under the extreme conditions, so the turbine needs to stop operation under the extreme sea conditions. The analysis and simulation results provide a theoretical basis for the practical application of hydraulic turbines.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"47 2 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":"115791431","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.2019.8867405
Yuya Kokaki, Tetsunori Kobayashi, Tetsuji Ogawa
Psychological fish catches are designed and successfully applied to an optimization criterion for machine-learning-based predictors. In automatic fish catch prediction, prediction errors allowed by fishery workers differ depending on fish catches. Such error tolerance has not been considered both in evaluating prediction results and in training predictors. In the present study, the investigation of fishermen’s tolerance in prediction errors using a psychophysics method and subsequently reflecting it in constructing a psychological measure on fish catches is performed. In addition, the psychological measure obtained is exploited in the optimization of fish catch prediction models to provide forecasts intuitive to fishery workers.
{"title":"Psychological measure on fish catches and its application to optimization criterion for machine-learning-based predictors","authors":"Yuya Kokaki, Tetsunori Kobayashi, Tetsuji Ogawa","doi":"10.1109/OCEANSE.2019.8867405","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867405","url":null,"abstract":"Psychological fish catches are designed and successfully applied to an optimization criterion for machine-learning-based predictors. In automatic fish catch prediction, prediction errors allowed by fishery workers differ depending on fish catches. Such error tolerance has not been considered both in evaluating prediction results and in training predictors. In the present study, the investigation of fishermen’s tolerance in prediction errors using a psychophysics method and subsequently reflecting it in constructing a psychological measure on fish catches is performed. In addition, the psychological measure obtained is exploited in the optimization of fish catch prediction models to provide forecasts intuitive to fishery workers.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"44 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":"115819563","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.2019.8867042
P. Gaughan, A. Berry, Conall O Malley
The SmartBay cabled subsea observatory is a shallow water marine infrastructure with two distinct operational roles, namely the provision of high quality, multidisciplinary, marine coastal data for scientific analysis combined with a role in facilitating marine technology testing and innovation projects. This paper highlights the unique aspects in the bespoke design of the infrastructure that facilitates both these roles by allowing multiple suites of instrumentation and equipment to operate simultaneously and how the supporting cyber Infrastructure system ensures real-time access to environmental data for scientists as well as secure real time access for commercial marine technology developers and researchers. The longevity of the infrastructure was a key component of the system design and these unique features are highlighted and discussed in terms of how they allow the infrastructure to carry out multiple projects while maintaining long term data collection capabilities from a suite of core instrumentation. SmartBay’s dual purpose of scientific environmental monitoring and technology development has seen the deployment and completion of a range of projects involving a variety of international researchers both scientific and commercial. We illustrate how the SmartBay observatory engineering and software systems have been adapted and enhanced to facilitate the most efficient usage of the observatory and how operational efficiencies maximise the long-term commercial viability and sustainability of the infrastructure.
{"title":"The dual roles of SmartBay, a multi-disciplinary subsea observatory delivering sustainable long term coastal marine observations and marine technology development","authors":"P. Gaughan, A. Berry, Conall O Malley","doi":"10.1109/OCEANSE.2019.8867042","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867042","url":null,"abstract":"The SmartBay cabled subsea observatory is a shallow water marine infrastructure with two distinct operational roles, namely the provision of high quality, multidisciplinary, marine coastal data for scientific analysis combined with a role in facilitating marine technology testing and innovation projects. This paper highlights the unique aspects in the bespoke design of the infrastructure that facilitates both these roles by allowing multiple suites of instrumentation and equipment to operate simultaneously and how the supporting cyber Infrastructure system ensures real-time access to environmental data for scientists as well as secure real time access for commercial marine technology developers and researchers. The longevity of the infrastructure was a key component of the system design and these unique features are highlighted and discussed in terms of how they allow the infrastructure to carry out multiple projects while maintaining long term data collection capabilities from a suite of core instrumentation. SmartBay’s dual purpose of scientific environmental monitoring and technology development has seen the deployment and completion of a range of projects involving a variety of international researchers both scientific and commercial. We illustrate how the SmartBay observatory engineering and software systems have been adapted and enhanced to facilitate the most efficient usage of the observatory and how operational efficiencies maximise the long-term commercial viability and sustainability of the infrastructure.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"445 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":"122150919","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.2019.8867184
Xue Runze, Ma Yuanliang, Yang Kunde, Yang Qiulong, Huang Chunlong, Z. Yukun
In this study, the impact of parameters for a random Gaussian surface with on the scattering field is analysed by solving an integral equation. The boundary is assumed to be a pressure release boundary. The bistatic scattering cross section of the scattering field is obtained over surface realizations. The focus is mainly on two parameters of the surface: the root mean square (rms) slope and the ratio of the incident wavelength to the surface correlation length , the former can be regarded as an indicator of surface roughness, while the latter a character describing the scale of surface roughness. For the correlation length with the same order of magnitude as the incident wavelength, the scattering energy exists on the whole space. However the correlation lengths in other scales only affect the region around the specular direction. As correlation length is identical with the incident wavelength in magnitude, the rms slope angle as an indicator of the surface roughness affect the distribution of scattering energy between the specular direction and remaining region.
{"title":"Acoustic Scattering from a one-dimension Gaussian surface on a pressure-release boundary","authors":"Xue Runze, Ma Yuanliang, Yang Kunde, Yang Qiulong, Huang Chunlong, Z. Yukun","doi":"10.1109/OCEANSE.2019.8867184","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867184","url":null,"abstract":"In this study, the impact of parameters for a random Gaussian surface with on the scattering field is analysed by solving an integral equation. The boundary is assumed to be a pressure release boundary. The bistatic scattering cross section of the scattering field is obtained over surface realizations. The focus is mainly on two parameters of the surface: the root mean square (rms) slope and the ratio of the incident wavelength to the surface correlation length , the former can be regarded as an indicator of surface roughness, while the latter a character describing the scale of surface roughness. For the correlation length with the same order of magnitude as the incident wavelength, the scattering energy exists on the whole space. However the correlation lengths in other scales only affect the region around the specular direction. As correlation length is identical with the incident wavelength in magnitude, the rms slope angle as an indicator of the surface roughness affect the distribution of scattering energy between the specular direction and remaining region.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"10 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":"124279539","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.2019.8867461
Igor Kvasić, N. Mišković, Z. Vukic
Autonomous underwater navigation presents a whole set of challenges to be resolved in order to become adequately accurate and reliable. That is particularly critical when human divers work in close collaboration with autonomous underwater vehicles (AUVs). In absence of global positioning signals underwater, acoustic based sensors such as LBL (long-baseline), SBL (short-baseline) and USBL (ultrashort-baseline) are commonly used for navigation and localization. In addition to these low-bandwidth and high latency technologies, cameras and sonars can provide position measurements relative to the vehicle which can be used as an aid for navigation as well as for keeping a safe working distance between the diver and the AUV. While optical cameras are highly affected by water turbidity and lighting conditions, sonar images often become hard to interpret using conventional image processing methods due to image granulation and high noise levels.This paper focuses on finding a robust and reliable sonar image processing method for detection and tracking of human divers using convolutional neural networks. Machine learning algorithms are making a huge impact in computer vision applications but are not always considered when it comes to sonar image processing. After presenting commonly used image processing techniques the paper will focus on giving an overview of state-of-the-art machine learning algorithms and explore their performance in custom sonar image dataset processing. Finally, the performance of these algorithms will be compared on a set of sonar recordings to determine their reliability and applicability in a real-time operation.
{"title":"Convolutional Neural Network Architectures for Sonar-Based Diver Detection and Tracking","authors":"Igor Kvasić, N. Mišković, Z. Vukic","doi":"10.1109/OCEANSE.2019.8867461","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867461","url":null,"abstract":"Autonomous underwater navigation presents a whole set of challenges to be resolved in order to become adequately accurate and reliable. That is particularly critical when human divers work in close collaboration with autonomous underwater vehicles (AUVs). In absence of global positioning signals underwater, acoustic based sensors such as LBL (long-baseline), SBL (short-baseline) and USBL (ultrashort-baseline) are commonly used for navigation and localization. In addition to these low-bandwidth and high latency technologies, cameras and sonars can provide position measurements relative to the vehicle which can be used as an aid for navigation as well as for keeping a safe working distance between the diver and the AUV. While optical cameras are highly affected by water turbidity and lighting conditions, sonar images often become hard to interpret using conventional image processing methods due to image granulation and high noise levels.This paper focuses on finding a robust and reliable sonar image processing method for detection and tracking of human divers using convolutional neural networks. Machine learning algorithms are making a huge impact in computer vision applications but are not always considered when it comes to sonar image processing. After presenting commonly used image processing techniques the paper will focus on giving an overview of state-of-the-art machine learning algorithms and explore their performance in custom sonar image dataset processing. Finally, the performance of these algorithms will be compared on a set of sonar recordings to determine their reliability and applicability in a real-time operation.","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":"124538650","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.2019.8867202
A. Meschini, J. Gelli, M. Pagliai, Andrea Della Valle, Matteo Franchi, M. Bianchi, A. Ridolfi, B. Allotta
The paper presents the electromechanical design of an Autonomous Surface Vehicle (ASV) developed by the Department of Industrial Engineering (DIEF) of the University of Florence (UNIFI), Italy. One of the main functions of this autonomous moving buoy is to localize underwater targets, such as Autonomous Underwater Vehicles (AUVs), through an Ultra Short BaseLine (USBL) and to enable the communication with them; furthermore, it is possible to equip the buoy with sensors or payloads, for instance cameras to detect the seabed. The buoy specifications and its navigation devices are described. The main features of the developed floating device are given, starting from its system architecture to its structural design. The buoy will be assembled during Summer 2019 and tested together with the UNIFI DIEF underwater vehicles.
{"title":"Design of a Self-moving Autonomous Buoy for the Localization of Underwater Targets","authors":"A. Meschini, J. Gelli, M. Pagliai, Andrea Della Valle, Matteo Franchi, M. Bianchi, A. Ridolfi, B. Allotta","doi":"10.1109/OCEANSE.2019.8867202","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867202","url":null,"abstract":"The paper presents the electromechanical design of an Autonomous Surface Vehicle (ASV) developed by the Department of Industrial Engineering (DIEF) of the University of Florence (UNIFI), Italy. One of the main functions of this autonomous moving buoy is to localize underwater targets, such as Autonomous Underwater Vehicles (AUVs), through an Ultra Short BaseLine (USBL) and to enable the communication with them; furthermore, it is possible to equip the buoy with sensors or payloads, for instance cameras to detect the seabed. The buoy specifications and its navigation devices are described. The main features of the developed floating device are given, starting from its system architecture to its structural design. The buoy will be assembled during Summer 2019 and tested together with the UNIFI DIEF underwater vehicles.","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":"125837811","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 : 2019-06-01DOI: 10.1109/OCEANSE.2019.8866880
C. Cao, Jia-wang Chen, M. Feng, Chunying Xu, Peihao Zhang, P. Zhou
The geomorphology of gas hydrate test mining areas is an important topic in marine geology, geophysics and ocean engineering. The monitoring of shallow hydrates on the seabed has broad prospects and far-reaching significance for the development and utilization of massive hydrates.
{"title":"Deep-sea submarine terrain monitoring——a brand new way","authors":"C. Cao, Jia-wang Chen, M. Feng, Chunying Xu, Peihao Zhang, P. Zhou","doi":"10.1109/OCEANSE.2019.8866880","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8866880","url":null,"abstract":"The geomorphology of gas hydrate test mining areas is an important topic in marine geology, geophysics and ocean engineering. The monitoring of shallow hydrates on the seabed has broad prospects and far-reaching significance for the development and utilization of massive hydrates.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116930128","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：