Pub Date : 2015-10-01DOI: 10.23919/OCEANS.2015.7401811
H. Moustahfid, M. Weise, R. Kochevar, B. Block
In the past two decades, rapid advances in animal transmitters, data storage tags and tracking technology have made it possible to use animals to collect high quality biological and oceanographic observations as they cruise through ocean habitats. However, despite significant investment in tagging and tracking technology, integrated data management and visualization systems have lacked. The growing volume of these data holdings, the large diversity of tag types and data formats, and the general lack of data management are not only complicating integration and synthesis of animal telemetry and tracking data but potentially threatening the integrity and longer-term access to these valuable datasets. To address this critical gap, the United States Integrated Ocean Observing System (U.S. IOOS) Animal Telemetry Data Management and Visualization System (ATN DAC) has been developed to provide an integrated system of most known transmitters and tracking systems. The ATN DAC in its first version provides a clean and intuitive Google Maps-based user interface with simple, color-coded icons for various tag types, including satellite-linked tags, archival tags, pop-up satellite archival tags, acoustic receiver buoys and autonomous mobile gliders equipped with acoustic receivers. For each tag type, the user can display additional data (e.g., animal track, acoustic detections) by simply clicking on the icons. An icon click also presents the user with a variety of additional options, which vary by platform. These include: display or download depth and temperature profile or conductivity data, display or download animal tracking data, display or download detection data, or view and query datasets through a webservice such as NOAAEnvironmental Research Division's Data Access Protocol (ERDDAP) server. These data management and visualization tools are designed to enable Animal Telemetry data sharing and integrating biological data with environmental data observations and models. In this presentation we provide an overview of the ATN DAC data management and visualizations capabilities (figure 1) and linking this data service to ocean models and applications.
{"title":"Integrated Management and Visualization of Animal Telemetry Observations: Serving data from a wide variety of platforms used in animal telemetry","authors":"H. Moustahfid, M. Weise, R. Kochevar, B. Block","doi":"10.23919/OCEANS.2015.7401811","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401811","url":null,"abstract":"In the past two decades, rapid advances in animal transmitters, data storage tags and tracking technology have made it possible to use animals to collect high quality biological and oceanographic observations as they cruise through ocean habitats. However, despite significant investment in tagging and tracking technology, integrated data management and visualization systems have lacked. The growing volume of these data holdings, the large diversity of tag types and data formats, and the general lack of data management are not only complicating integration and synthesis of animal telemetry and tracking data but potentially threatening the integrity and longer-term access to these valuable datasets. To address this critical gap, the United States Integrated Ocean Observing System (U.S. IOOS) Animal Telemetry Data Management and Visualization System (ATN DAC) has been developed to provide an integrated system of most known transmitters and tracking systems. The ATN DAC in its first version provides a clean and intuitive Google Maps-based user interface with simple, color-coded icons for various tag types, including satellite-linked tags, archival tags, pop-up satellite archival tags, acoustic receiver buoys and autonomous mobile gliders equipped with acoustic receivers. For each tag type, the user can display additional data (e.g., animal track, acoustic detections) by simply clicking on the icons. An icon click also presents the user with a variety of additional options, which vary by platform. These include: display or download depth and temperature profile or conductivity data, display or download animal tracking data, display or download detection data, or view and query datasets through a webservice such as NOAAEnvironmental Research Division's Data Access Protocol (ERDDAP) server. These data management and visualization tools are designed to enable Animal Telemetry data sharing and integrating biological data with environmental data observations and models. In this presentation we provide an overview of the ATN DAC data management and visualizations capabilities (figure 1) and linking this data service to ocean models and applications.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127946854","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}
The forward-looking imaging sonar is a prospective solution for underwater visual surveying because it allows longrange visibility in turbid water, and provides a high frame rate. However, the acoustic images are degraded by speckle noise. In this paper, we propose an algorithm to reduce the noise in a series of acoustic image frames obtained by using a forward-looking imaging sonar. The time-series model of the acoustic images are developed for predicting the changes in pixel coordinates. Also, the Kalman filter estimates the noise-reduced pixels of the images based on the acoustic image model. This recursive treatment is suitable for the successive image frames.
{"title":"Real-time noise reduction for sonar video image using recursive filtering","authors":"Hyeonwoo Cho, Juhyun Pyo, Jeonghwe Gu, Hangil Jeo, Son-cheol Yu","doi":"10.23919/OCEANS.2015.7401928","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401928","url":null,"abstract":"The forward-looking imaging sonar is a prospective solution for underwater visual surveying because it allows longrange visibility in turbid water, and provides a high frame rate. However, the acoustic images are degraded by speckle noise. In this paper, we propose an algorithm to reduce the noise in a series of acoustic image frames obtained by using a forward-looking imaging sonar. The time-series model of the acoustic images are developed for predicting the changes in pixel coordinates. Also, the Kalman filter estimates the noise-reduced pixels of the images based on the acoustic image model. This recursive treatment is suitable for the successive image frames.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131921276","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 : 2015-10-01DOI: 10.23919/OCEANS.2015.7401926
A. Pavin
The identification problem of artificial or natural objects in underwater images is considered in this paper. Any object (including a previously received image) with unequivocally determined contours can be used as a pattern. Recognition of the required object is made by an exhaustive search of key points or small pieces of borders with a subsequent increase of accumulator cells. Processing of real sea-bottom images has confirmed the algorithm's efficiency (including dead reckoning, marker recognition and line recognition tasks).
{"title":"Underwater object recognition in photo images","authors":"A. Pavin","doi":"10.23919/OCEANS.2015.7401926","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401926","url":null,"abstract":"The identification problem of artificial or natural objects in underwater images is considered in this paper. Any object (including a previously received image) with unequivocally determined contours can be used as a pattern. Recognition of the required object is made by an exhaustive search of key points or small pieces of borders with a subsequent increase of accumulator cells. Processing of real sea-bottom images has confirmed the algorithm's efficiency (including dead reckoning, marker recognition and line recognition tasks).","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132480065","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 : 2015-10-01DOI: 10.23919/OCEANS.2015.7401873
Yuanrui Sang, H. Karayaka, Yanjun Yan, James Z. Zhang, E. Muljadi, Yi-Hsiang Yu
A slider-crank wave energy converter (WEC) is a novel energy conversion device. It converts wave energy into electricity at a relatively high efficiency, and it features a simple structure. Past analysis on this particular WEC has been done under regular sinusoidal wave conditions, and suboptimal energy could be achieved. This paper presents the analysis of the system under irregular wave conditions; a time-domain hydrodynamics model is adopted and a rule-based control methodology is introduced to better serve the irregular wave conditions. Results from the simulations show that the performance of the system under irregular wave conditions is different from that under regular sinusoidal wave conditions, but a reasonable amount of energy can still be extracted.
{"title":"Energy extraction from a slider-crank wave energy converter under irregular wave conditions","authors":"Yuanrui Sang, H. Karayaka, Yanjun Yan, James Z. Zhang, E. Muljadi, Yi-Hsiang Yu","doi":"10.23919/OCEANS.2015.7401873","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401873","url":null,"abstract":"A slider-crank wave energy converter (WEC) is a novel energy conversion device. It converts wave energy into electricity at a relatively high efficiency, and it features a simple structure. Past analysis on this particular WEC has been done under regular sinusoidal wave conditions, and suboptimal energy could be achieved. This paper presents the analysis of the system under irregular wave conditions; a time-domain hydrodynamics model is adopted and a rule-based control methodology is introduced to better serve the irregular wave conditions. Results from the simulations show that the performance of the system under irregular wave conditions is different from that under regular sinusoidal wave conditions, but a reasonable amount of energy can still be extracted.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130043571","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 : 2015-10-01DOI: 10.23919/OCEANS.2015.7404407
M. Seto, A. Crawford
The application of unmanned surface vehicles for autonomous shallow water bathymetric measurements, for naval mine counter-measures and hydrographic charting, and as a navigation assist for high valued ships is discussed. Defence Research & Development Canada has developed a prototype unmanned surface vehicle based on a commerically available catamaran hull-form integrated with a hydrographic quality bathymetric sonar, side-scan sonar, and an echo sounder. The unmanned surface vehicle is also equipped with a WHOI underwater acoustic modem and a 2.4 GHz RF radio to facilitate above and below water communications. The vehicle is also integrated with a mission-planner that has an advanced autonomy framework to facilitate the development and implementation of more complex robotic behaviors towards capabilities for the above-mentioned applications. This autonomous system has undergone validation and testing in the Canadian Arctic and numerous local trials in Halifax Canada. The efficacy of, and lessons learned from, using unmanned surface vehicles for these applications are discussed.
{"title":"Autonomous shallow water bathymetric measurements for environmental assessment and safe navigation using USVs","authors":"M. Seto, A. Crawford","doi":"10.23919/OCEANS.2015.7404407","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404407","url":null,"abstract":"The application of unmanned surface vehicles for autonomous shallow water bathymetric measurements, for naval mine counter-measures and hydrographic charting, and as a navigation assist for high valued ships is discussed. Defence Research & Development Canada has developed a prototype unmanned surface vehicle based on a commerically available catamaran hull-form integrated with a hydrographic quality bathymetric sonar, side-scan sonar, and an echo sounder. The unmanned surface vehicle is also equipped with a WHOI underwater acoustic modem and a 2.4 GHz RF radio to facilitate above and below water communications. The vehicle is also integrated with a mission-planner that has an advanced autonomy framework to facilitate the development and implementation of more complex robotic behaviors towards capabilities for the above-mentioned applications. This autonomous system has undergone validation and testing in the Canadian Arctic and numerous local trials in Halifax Canada. The efficacy of, and lessons learned from, using unmanned surface vehicles for these applications are discussed.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130132037","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 : 2015-10-01DOI: 10.23919/OCEANS.2015.7401809
Yongwei Liu, D. Shang, Qi Li, D. Shang, Yan Xiao
Based on the combination of large eddy simulation theory and Lighthill's acoustic analogy equation, numerical simulation of underwater flow noise is investigated. The calculation model of nozzle and fluid is built up by finite element software, ANSYS. The property of fluid field is calculated by the software, Fluent, which is in the ANSYS. The fluid property changing with time is gotten and dealt with by FFT, then, introduced into ACTRAN. Therefore, sound field of flow noise can be calculated. The flow noise of a circular nozzle is carefully investigated. The diameter of the nozzle is 20 mm, and the velocity of the fluid is 10 m/s. The frequency is in the range from 20 to 5000 Hz. The results demonstrate that sound radiation from flow noise is mainly in transition area. The distance between the nozzle and transition area is in the range from 8 to 10 D. Here, D is maximum dimension of the nozzle. Meanwhile, the directivity of radiated noise in transition area is fourth polar. Based on the principle of reverberation method, a measurement system of underwater flow noise is built up. One kind of nozzle is a steel pipe, and inner diameter is 200 mm. The pipe is placed in a reverberation water pool. In the pool, there are two parts: one part is flow area; the other part is test area. In test area, there are 32 hydrophones, which are disposed at different depth. The other kind of nozzle is a circular nozzle with coverage formation. The diameter of the nozzles is 10 mm, 20 mm, 30 mm, respectively. The nozzle is placed in a reverberation water tank, which is made by steel plates and supported by separated points at the bottom. In the top, there are three ducts. The ducts can hinder sound propagation from the tank to the outside, and vice versa. The tank is also separated into two parts: one part is flow area; the other part is test area. In test area, there are four hydrophones, which are treated as a line array to receive the signal caused by the flow. All the designs can protect hydrophones from the knock by the flow. The flow noise source is a tank in high place. And the flow is generated by the gravity. The total level of sound radiation power from flow noise is proportional to the eighth power of the velocity. The results demonstrate that total level of flow noise from the nozzle of uniform type is only decided by the pressure of flow noise source, and not related to the section area of nozzle. The results are coincided with the simulation.
{"title":"The investigation on calculating and measuring the flow noise from underwater jets","authors":"Yongwei Liu, D. Shang, Qi Li, D. Shang, Yan Xiao","doi":"10.23919/OCEANS.2015.7401809","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401809","url":null,"abstract":"Based on the combination of large eddy simulation theory and Lighthill's acoustic analogy equation, numerical simulation of underwater flow noise is investigated. The calculation model of nozzle and fluid is built up by finite element software, ANSYS. The property of fluid field is calculated by the software, Fluent, which is in the ANSYS. The fluid property changing with time is gotten and dealt with by FFT, then, introduced into ACTRAN. Therefore, sound field of flow noise can be calculated. The flow noise of a circular nozzle is carefully investigated. The diameter of the nozzle is 20 mm, and the velocity of the fluid is 10 m/s. The frequency is in the range from 20 to 5000 Hz. The results demonstrate that sound radiation from flow noise is mainly in transition area. The distance between the nozzle and transition area is in the range from 8 to 10 D. Here, D is maximum dimension of the nozzle. Meanwhile, the directivity of radiated noise in transition area is fourth polar. Based on the principle of reverberation method, a measurement system of underwater flow noise is built up. One kind of nozzle is a steel pipe, and inner diameter is 200 mm. The pipe is placed in a reverberation water pool. In the pool, there are two parts: one part is flow area; the other part is test area. In test area, there are 32 hydrophones, which are disposed at different depth. The other kind of nozzle is a circular nozzle with coverage formation. The diameter of the nozzles is 10 mm, 20 mm, 30 mm, respectively. The nozzle is placed in a reverberation water tank, which is made by steel plates and supported by separated points at the bottom. In the top, there are three ducts. The ducts can hinder sound propagation from the tank to the outside, and vice versa. The tank is also separated into two parts: one part is flow area; the other part is test area. In test area, there are four hydrophones, which are treated as a line array to receive the signal caused by the flow. All the designs can protect hydrophones from the knock by the flow. The flow noise source is a tank in high place. And the flow is generated by the gravity. The total level of sound radiation power from flow noise is proportional to the eighth power of the velocity. The results demonstrate that total level of flow noise from the nozzle of uniform type is only decided by the pressure of flow noise source, and not related to the section area of nozzle. The results are coincided with the simulation.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134124604","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 : 2015-10-01DOI: 10.23919/OCEANS.2015.7404423
J. Wood, J. Schanzle, E. Terray
We describe various methods of correcting wave measurements obtained from upward-looking acoustic Doppler current profilers (ADCPs) mounted on subsurface buoys. Subsurface buoys are forced by both horizontal currents and surface waves, and so the resulting signals also include translational and rotational motions, which must be removed to maximize the accuracy of the results. We describe our most recent experience where estimates of buoy motion were obtained from an inertial motion unit ('MU) consisting of tri-axial accelerometers, rate gyros, and magnetometers. The platform motions were validated by comparing to independent motion estimates from a colocated downward-looking ADCP. Careful synchronization of the 'MU and ADCP signals and rotating velocities into a fixed geographic reference frame allows us to subtract these motions from the upward-looking wave velocities, surface track, and pressures, and calculate wave height and directional spectra. Another critical adjustment was required for discretization errors arising from spatial changes in wave velocity between the ADCPs opposing beams, which becomes significant for higher-frequency waves. Since most of the translational movements of the buoy were in the horizontal plane (order ~50 cm/sec), with very little motion observed in the vertical plane (order ~ 5 cm/sec), corrections are more important for horizontal velocities than the vertical component. Wave height spectra derived from horizontal and vertical velocities, surface track, and pressure, were in remarkable agreement once corrections were applied. The effect of platform motion on the mean wave direction, which rely exclusively on the ratio of north and east velocities, also was small. We regard it good practice to correct for the full 3D velocity of the ADCP in order to maximize confidence in the resulting wave spectra. MEMS-based inertial sensors, of the kind used here, provide an excellent and low cost way of acquiring these data.
{"title":"Deep water wave measurements from subsurface buoys","authors":"J. Wood, J. Schanzle, E. Terray","doi":"10.23919/OCEANS.2015.7404423","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404423","url":null,"abstract":"We describe various methods of correcting wave measurements obtained from upward-looking acoustic Doppler current profilers (ADCPs) mounted on subsurface buoys. Subsurface buoys are forced by both horizontal currents and surface waves, and so the resulting signals also include translational and rotational motions, which must be removed to maximize the accuracy of the results. We describe our most recent experience where estimates of buoy motion were obtained from an inertial motion unit ('MU) consisting of tri-axial accelerometers, rate gyros, and magnetometers. The platform motions were validated by comparing to independent motion estimates from a colocated downward-looking ADCP. Careful synchronization of the 'MU and ADCP signals and rotating velocities into a fixed geographic reference frame allows us to subtract these motions from the upward-looking wave velocities, surface track, and pressures, and calculate wave height and directional spectra. Another critical adjustment was required for discretization errors arising from spatial changes in wave velocity between the ADCPs opposing beams, which becomes significant for higher-frequency waves. Since most of the translational movements of the buoy were in the horizontal plane (order ~50 cm/sec), with very little motion observed in the vertical plane (order ~ 5 cm/sec), corrections are more important for horizontal velocities than the vertical component. Wave height spectra derived from horizontal and vertical velocities, surface track, and pressure, were in remarkable agreement once corrections were applied. The effect of platform motion on the mean wave direction, which rely exclusively on the ratio of north and east velocities, also was small. We regard it good practice to correct for the full 3D velocity of the ADCP in order to maximize confidence in the resulting wave spectra. MEMS-based inertial sensors, of the kind used here, provide an excellent and low cost way of acquiring these data.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134393218","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 : 2015-10-01DOI: 10.23919/OCEANS.2015.7404504
M. Salari, Joseph Coleman, G. Dooly, D. Toal
In this paper, direct interconnection of offshore pumping-mode AWE systems has been investigated. Direct interconnection is an approach to reduce the installation of power electronic sub systems in the field because of the high expenses of repair and maintenance for offshore systems. An offshore AWE park with three units has been modeled and simulation results and discussion are presented.
{"title":"Direct interconnection of offshore airborne wind energy systems","authors":"M. Salari, Joseph Coleman, G. Dooly, D. Toal","doi":"10.23919/OCEANS.2015.7404504","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404504","url":null,"abstract":"In this paper, direct interconnection of offshore pumping-mode AWE systems has been investigated. Direct interconnection is an approach to reduce the installation of power electronic sub systems in the field because of the high expenses of repair and maintenance for offshore systems. An offshore AWE park with three units has been modeled and simulation results and discussion are presented.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131493423","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 : 2015-10-01DOI: 10.23919/OCEANS.2015.7401982
Johanna R Hansen, D. Fourie, J. Kinsey, C. Pontbriand, J. Ware, N. Farr, C. Kaiser, M. Tivey
The emergence of high speed optical communication systems has introduced a method for transferring data relatively quickly underwater. This technology coupled with autonomous underwater vehicles (AUVs) has the potential to enable efficient wireless data transfers underwater. Data muling, a data transport mechanism in which AUVs visit remote sensor nodes to transfer data, enables remote data to be recovered cheaply from underwater sensors. This paper details efforts to develop a system to reduce operational complexities of autonomous data-muling. We report a set of algorithms, systems, and experimental results of a technique to localize a sub-sea sensor node equipped with acoustic and optical communication devices with an AUV. Our homing system was designed to utilize the long-range, lowpower acoustic signal to determine the sensor location from great distances. When within optical communication range, it exploits the optical power pattern to center the vehicle over the sensor node for optimum data transfer. These implementations were tested over three dives at varying levels of automation. Data collected from the real-time system has been tested in full-automation mode within our simulation environment.
{"title":"Autonomous acoustic-aided optical localization for data transfer","authors":"Johanna R Hansen, D. Fourie, J. Kinsey, C. Pontbriand, J. Ware, N. Farr, C. Kaiser, M. Tivey","doi":"10.23919/OCEANS.2015.7401982","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401982","url":null,"abstract":"The emergence of high speed optical communication systems has introduced a method for transferring data relatively quickly underwater. This technology coupled with autonomous underwater vehicles (AUVs) has the potential to enable efficient wireless data transfers underwater. Data muling, a data transport mechanism in which AUVs visit remote sensor nodes to transfer data, enables remote data to be recovered cheaply from underwater sensors. This paper details efforts to develop a system to reduce operational complexities of autonomous data-muling. We report a set of algorithms, systems, and experimental results of a technique to localize a sub-sea sensor node equipped with acoustic and optical communication devices with an AUV. Our homing system was designed to utilize the long-range, lowpower acoustic signal to determine the sensor location from great distances. When within optical communication range, it exploits the optical power pattern to center the vehicle over the sensor node for optimum data transfer. These implementations were tested over three dives at varying levels of automation. Data collected from the real-time system has been tested in full-automation mode within our simulation environment.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126570154","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 : 2015-10-01DOI: 10.23919/OCEANS.2015.7404569
A. Colucci, V. Boscaino, G. Cipriani, D. Curto, V. Di Dio, V. Franzitta, M. Trapanese, A. Viola
This paper aims at describing a small scale prototype of a complete wave energy converter system for hydrogen production promoting the opportunity of installation in Sicily, in the Mediterranean Sea. The opportunity to produce hydrogen from sea-water identifies ocean wave energy as the most promising solution for electricity generation including hydrogen production and storage. Even if hydrogen is considered one of the most promising secondary sources, criticism arises from both the academic and the industrial world mainly because hydrogen production requires electricity consumption. Furthermore, safety problems concerning hydrogen storage and transport are actually the main hindrance to full commercialization. In order to overcome production issues, hydrogen production and storage plants which are fully powered by renewable sources are continuously investigated. Advantages of the proposed system mainly rely on producing hydrogen by wave energy providing for on-board storage thus avoiding transport-related issues.
{"title":"An inertial system for the production of electricity and hydrogen from sea wave energy","authors":"A. Colucci, V. Boscaino, G. Cipriani, D. Curto, V. Di Dio, V. Franzitta, M. Trapanese, A. Viola","doi":"10.23919/OCEANS.2015.7404569","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404569","url":null,"abstract":"This paper aims at describing a small scale prototype of a complete wave energy converter system for hydrogen production promoting the opportunity of installation in Sicily, in the Mediterranean Sea. The opportunity to produce hydrogen from sea-water identifies ocean wave energy as the most promising solution for electricity generation including hydrogen production and storage. Even if hydrogen is considered one of the most promising secondary sources, criticism arises from both the academic and the industrial world mainly because hydrogen production requires electricity consumption. Furthermore, safety problems concerning hydrogen storage and transport are actually the main hindrance to full commercialization. In order to overcome production issues, hydrogen production and storage plants which are fully powered by renewable sources are continuously investigated. Advantages of the proposed system mainly rely on producing hydrogen by wave energy providing for on-board storage thus avoiding transport-related issues.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130703732","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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