Pub Date : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8559411
Cuicui Zhang, Hao Wei, Zhilei Liu, Xiaomei Fu
Recently, with the high development of satellite based ocean observation techniques, ocean flow visualization has become a hot research topic in the joint field of computer science and oceanography. It plays a significant role in supporting the detection and recognition of characteristic ocean flows, such as the mesoscale eddies, convergent and divergent ocean flows. However, this is not an easy task. Ocean flow field is a complex velocity field mixing of multi-scale dynamics including large-scale ocean circulations (100km∼)), mesoscale eddies (10km∼) 100km), and sub-mesoscale processes (1km∼10km). These dynamics change their forms and velocities at any time, making existing algorithms difficult to identify them. To solve this problem, this paper developed a novel ocean flow decomposition method using Helmholtz decomposition. In our approach, an arbitrary ocean flow field can be decomposed to two components: curl component and divergence component. Eddies, which are rotational, only present in the curl component; convergent and divergent ocean flows, which are irrotational, only exist in the divergence component. The Helmholtz decomposition helps us recognize different characteristic ocean flows with different components. To verify our method, experiments are performed on AVISO satellite observed ocean flow field in the Black sea. Experimental result demonstrates the effectiveness of our method.
{"title":"Characteristic Ocean Flow Visualization Using Helmholtz Decomposition","authors":"Cuicui Zhang, Hao Wei, Zhilei Liu, Xiaomei Fu","doi":"10.1109/OCEANSKOBE.2018.8559411","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8559411","url":null,"abstract":"Recently, with the high development of satellite based ocean observation techniques, ocean flow visualization has become a hot research topic in the joint field of computer science and oceanography. It plays a significant role in supporting the detection and recognition of characteristic ocean flows, such as the mesoscale eddies, convergent and divergent ocean flows. However, this is not an easy task. Ocean flow field is a complex velocity field mixing of multi-scale dynamics including large-scale ocean circulations (100km∼)), mesoscale eddies (10km∼) 100km), and sub-mesoscale processes (1km∼10km). These dynamics change their forms and velocities at any time, making existing algorithms difficult to identify them. To solve this problem, this paper developed a novel ocean flow decomposition method using Helmholtz decomposition. In our approach, an arbitrary ocean flow field can be decomposed to two components: curl component and divergence component. Eddies, which are rotational, only present in the curl component; convergent and divergent ocean flows, which are irrotational, only exist in the divergence component. The Helmholtz decomposition helps us recognize different characteristic ocean flows with different components. To verify our method, experiments are performed on AVISO satellite observed ocean flow field in the Black sea. Experimental result demonstrates the effectiveness of our method.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122833686","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 : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8559319
Yuya Nishida, Kazunori Nagano, J. Kojima, H. Kakami, S. Yokota, Takeshi Ohki, T. Nakatani, B. Thornton
We developed operation system for a multiple AUV operation using a ASV. The operation system has functions that the operator at remote location monitors the AUVs during cruising and it safety navigates according to instructs from the operator. In sea trials using the operation system, the two AUV succeed navigating about 4.7 km in parallel, and measured the seafloor using equipped. the operator on the barge constantly monitored navigation data of the AUVs through the ASV.
{"title":"Unmanned Surface Vehicle for Managing Parallel Cruising of a Multiple AUVs","authors":"Yuya Nishida, Kazunori Nagano, J. Kojima, H. Kakami, S. Yokota, Takeshi Ohki, T. Nakatani, B. Thornton","doi":"10.1109/OCEANSKOBE.2018.8559319","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8559319","url":null,"abstract":"We developed operation system for a multiple AUV operation using a ASV. The operation system has functions that the operator at remote location monitors the AUVs during cruising and it safety navigates according to instructs from the operator. In sea trials using the operation system, the two AUV succeed navigating about 4.7 km in parallel, and measured the seafloor using equipped. the operator on the barge constantly monitored navigation data of the AUVs through the ASV.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125050030","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 : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8559053
H. M. Chen, D. DelBalzo
At Oceans' 13 in San Diego, we introduced the concept of a Circular Sliding Wave Energy Converter (CS-WEC), where a track was fixed to the inside of a floating “wave-rider” buoy, which pitched and rolled in response to waves. At that time, we envisaged a heavy rotating mass on a circular track connected by a pivot arm to a fixed, but spinning, generator plus electronics at the center of the track. The system was adaptively tuned to changing environmental conditions with an artificial electro-magnetic spring in a control loop. We now propose three enhancements to the original design for efficiency and increased power. First, we move the generator, its associated electronics, and re-chargeable battery, from the center position to be part of the rotating mass, without sacrificing power. This is a more efficient way to conserve and better utilize component weights. Second, we move the hermetically-sealed CS-WEC from inside to the outside of the buoy and attach it by 2 pivot points to allow tilts that are greater than those of the sea surface. Third, we anchor the buoy to the sea bottom in shallow water and add a capability to significantly increase power by artificially increasing the magnitude of the pitch/roll motions by using an external surface float on a moment arm. We show a power improvement up to an order of magnitude in realistic ocean conditions (swell and random seas) by increasing the motion.
{"title":"Heave-Enhanced, Wave Energy Converter, with a Circular Sliding Generator","authors":"H. M. Chen, D. DelBalzo","doi":"10.1109/OCEANSKOBE.2018.8559053","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8559053","url":null,"abstract":"At Oceans' 13 in San Diego, we introduced the concept of a Circular Sliding Wave Energy Converter (CS-WEC), where a track was fixed to the inside of a floating “wave-rider” buoy, which pitched and rolled in response to waves. At that time, we envisaged a heavy rotating mass on a circular track connected by a pivot arm to a fixed, but spinning, generator plus electronics at the center of the track. The system was adaptively tuned to changing environmental conditions with an artificial electro-magnetic spring in a control loop. We now propose three enhancements to the original design for efficiency and increased power. First, we move the generator, its associated electronics, and re-chargeable battery, from the center position to be part of the rotating mass, without sacrificing power. This is a more efficient way to conserve and better utilize component weights. Second, we move the hermetically-sealed CS-WEC from inside to the outside of the buoy and attach it by 2 pivot points to allow tilts that are greater than those of the sea surface. Third, we anchor the buoy to the sea bottom in shallow water and add a capability to significantly increase power by artificially increasing the magnitude of the pitch/roll motions by using an external surface float on a moment arm. We show a power improvement up to an order of magnitude in realistic ocean conditions (swell and random seas) by increasing the motion.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122257420","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 : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8558788
J. Candy, L. Stoops, S. Franco, M. Emmons
Vibrational systems operating in hostile environments create a challenging processing problem especially in order to perform real-time monitoring. To monitor a particular type of device from noisy vibration data, requires the identification of signatures that make it unique. The monitoring of modal frequencies can be used to determine the condition of a device under investigation, especially if it is a critical entity of an operational system. The performance of a model-based scheme capable of the on-line tracking of modal vibration frequencies under a variety of operational scenarios is detailed.
{"title":"Modal Frequency Tracking of an Unknown Vibrational System","authors":"J. Candy, L. Stoops, S. Franco, M. Emmons","doi":"10.1109/OCEANSKOBE.2018.8558788","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8558788","url":null,"abstract":"Vibrational systems operating in hostile environments create a challenging processing problem especially in order to perform real-time monitoring. To monitor a particular type of device from noisy vibration data, requires the identification of signatures that make it unique. The monitoring of modal frequencies can be used to determine the condition of a device under investigation, especially if it is a critical entity of an operational system. The performance of a model-based scheme capable of the on-line tracking of modal vibration frequencies under a variety of operational scenarios is detailed.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127124663","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 : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8559398
Avi Abu, R. Diamant
The recent boost in undersea operations has led to the development of high-resolution sonar systems mounted on autonomous vehicles, and aimed to scan the sea floor and detect objects. An important part of sonar detection is the image denoising, where the background is smoothed and noise components are removed while preserving the object's borders. Sonar image denoising is a challenging task, mostly due to the heavy intensity inhomogeneity of the background and the heavy spatial varying background. In this paper, we propose an algorithm for sonar image denoising that is based on the adaptation of the nonlocal means-based filter. The noise in the highlight and background regions is modeled by the exponential distribution, while the noise in the shadow region is modeled by the Gaussian distribution. We estimate the label of each pixel through image segmentation to estimate the parameters of each distribution. Then, the minimum entropy criteria is used to decide which statistics model in the denoising filter gives the best results. Results for synthetic sonar images and over real sonar images demonstrate that the proposed method successfully removes the noise components while preserving the object's edges.
{"title":"Robust Image Denoising for Sonar Imagery","authors":"Avi Abu, R. Diamant","doi":"10.1109/OCEANSKOBE.2018.8559398","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8559398","url":null,"abstract":"The recent boost in undersea operations has led to the development of high-resolution sonar systems mounted on autonomous vehicles, and aimed to scan the sea floor and detect objects. An important part of sonar detection is the image denoising, where the background is smoothed and noise components are removed while preserving the object's borders. Sonar image denoising is a challenging task, mostly due to the heavy intensity inhomogeneity of the background and the heavy spatial varying background. In this paper, we propose an algorithm for sonar image denoising that is based on the adaptation of the nonlocal means-based filter. The noise in the highlight and background regions is modeled by the exponential distribution, while the noise in the shadow region is modeled by the Gaussian distribution. We estimate the label of each pixel through image segmentation to estimate the parameters of each distribution. Then, the minimum entropy criteria is used to decide which statistics model in the denoising filter gives the best results. Results for synthetic sonar images and over real sonar images demonstrate that the proposed method successfully removes the noise components while preserving the object's edges.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121527759","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 : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8559336
J. Du, T. C. Yang
High frequency signals are more difficult to model due to sound scattering by the random media and rough surface, consequently source localization using matched filed processing (MFP) becomes more and more difficult as the frequency increases. Frequency difference MFP uses the frequency difference signals generated by multiplying one signal at one frequency by the conjugate of another signal at another frequency shifted by a frequency difference, thereby effectively downshifting the signal and compensating the random medium effect which is assumed to be the same for both signals. It is noted that the frequency-difference signal is not exactly the same as a low frequency signal at the difference frequency. The mismatch between them and the effect of bottom on the signal modal distribution and consequently the goodness of source localization are studied in this paper.
{"title":"The Effect of Bottom Attenuation on High Frequency Source Localization Using the Frequency Difference MFP","authors":"J. Du, T. C. Yang","doi":"10.1109/OCEANSKOBE.2018.8559336","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8559336","url":null,"abstract":"High frequency signals are more difficult to model due to sound scattering by the random media and rough surface, consequently source localization using matched filed processing (MFP) becomes more and more difficult as the frequency increases. Frequency difference MFP uses the frequency difference signals generated by multiplying one signal at one frequency by the conjugate of another signal at another frequency shifted by a frequency difference, thereby effectively downshifting the signal and compensating the random medium effect which is assumed to be the same for both signals. It is noted that the frequency-difference signal is not exactly the same as a low frequency signal at the difference frequency. The mismatch between them and the effect of bottom on the signal modal distribution and consequently the goodness of source localization are studied in this paper.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960473","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 : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8559341
M. T. Silva, Weimin Huang, E. Gill
The present work addresses the use of artificial neural networks in filling gaps in buoy wind speed data during extreme events. The chosen network architecture is a nonlinear auto-regressive neural network with exogenous inputs, with significant wave height as its input. In order to test the method, a data set from a buoy in Placentia Bay, NL during the 40-year storm of March 11, 2017 was used. A benchmark was performed against other wind estimation methods, i.e. the Sverdrup-Munk-Bretschneider (SMB) relationship and power series regression. The presented method outperformed all other techniques, and was able to fill the gaps in the data following the trend of other weather stations positioned close to the buoy, proving the efficacy of the method.
{"title":"Filling Gaps in Wind Speed Data – A Neural Networks Approach","authors":"M. T. Silva, Weimin Huang, E. Gill","doi":"10.1109/OCEANSKOBE.2018.8559341","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8559341","url":null,"abstract":"The present work addresses the use of artificial neural networks in filling gaps in buoy wind speed data during extreme events. The chosen network architecture is a nonlinear auto-regressive neural network with exogenous inputs, with significant wave height as its input. In order to test the method, a data set from a buoy in Placentia Bay, NL during the 40-year storm of March 11, 2017 was used. A benchmark was performed against other wind estimation methods, i.e. the Sverdrup-Munk-Bretschneider (SMB) relationship and power series regression. The presented method outperformed all other techniques, and was able to fill the gaps in the data following the trend of other weather stations positioned close to the buoy, proving the efficacy of the method.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132661943","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 : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8559435
Franco Hidalgo, Chris Kahlefendt, T. Bräunl
This paper presents an experimental evaluation of monocular ORB-SLAM applied to underwater scenarios. It is investigated as an alternative SLAM method with minimal instumentation compared to other approaches that integrate different sensors such as inertial and acoustic sensors. ORB-SLAM creates a 3D map based on image frames and estimates the position of the robot by using a feature-based front-end and a graph-based back-end. The performance of ORB-SLAM is evaluated through experiments in different settings with varying lighting, visibility and water dynamics. Results show good performance given the right conditions and demonstrate that ORB-SLAM can work well in the underwater environment. Based on our findings the paper outlines possible enhancements which should further improve on the algorithms performance.
{"title":"Monocular ORB-SLAM Application in Underwater Scenarios","authors":"Franco Hidalgo, Chris Kahlefendt, T. Bräunl","doi":"10.1109/OCEANSKOBE.2018.8559435","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8559435","url":null,"abstract":"This paper presents an experimental evaluation of monocular ORB-SLAM applied to underwater scenarios. It is investigated as an alternative SLAM method with minimal instumentation compared to other approaches that integrate different sensors such as inertial and acoustic sensors. ORB-SLAM creates a 3D map based on image frames and estimates the position of the robot by using a feature-based front-end and a graph-based back-end. The performance of ORB-SLAM is evaluated through experiments in different settings with varying lighting, visibility and water dynamics. Results show good performance given the right conditions and demonstrate that ORB-SLAM can work well in the underwater environment. Based on our findings the paper outlines possible enhancements which should further improve on the algorithms performance.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"50 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131086825","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 : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8559160
M. J. Bocus, D. Agrafiotis, A. Doufexi
In this paper we assess the transmission of a standard definition (SD) video over a 1000 m vertical time-varying underwater acoustic channel (UAC) using multiple-input multiple-output (MIMO) systems with spatial multiplexing gain. The MIMO systems are integrated with filter bank multi-carrier (FBMC) modulation and Orthogonal Frequency Division Multiplexing (OFDM) and their bit error rate (BER) performances are evaluated over the channel using preamble-based channel estimation. In this work we chose to use the FBMC system based on the Offset Quadrature Amplitude Modulation (OQAM) as it achieves maximum spectral efficiency. Simulation results show that MIMO-FBMC/OQAM provides a better error performance than MIMO-OFDM in the UAC, outlining its robustness against both time and frequency dispersions. Furthermore, the absence of a cyclic prefix (CP) in FBMC/OQAM implies that more useful bits can be transmitted per second, making it a better candidate than OFDM for transmitting real-time video with acceptable quality over a long acoustic link.
{"title":"Underwater Acoustic Video Transmission Using MIMO-FBMC","authors":"M. J. Bocus, D. Agrafiotis, A. Doufexi","doi":"10.1109/OCEANSKOBE.2018.8559160","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8559160","url":null,"abstract":"In this paper we assess the transmission of a standard definition (SD) video over a 1000 m vertical time-varying underwater acoustic channel (UAC) using multiple-input multiple-output (MIMO) systems with spatial multiplexing gain. The MIMO systems are integrated with filter bank multi-carrier (FBMC) modulation and Orthogonal Frequency Division Multiplexing (OFDM) and their bit error rate (BER) performances are evaluated over the channel using preamble-based channel estimation. In this work we chose to use the FBMC system based on the Offset Quadrature Amplitude Modulation (OQAM) as it achieves maximum spectral efficiency. Simulation results show that MIMO-FBMC/OQAM provides a better error performance than MIMO-OFDM in the UAC, outlining its robustness against both time and frequency dispersions. Furthermore, the absence of a cyclic prefix (CP) in FBMC/OQAM implies that more useful bits can be transmitted per second, making it a better candidate than OFDM for transmitting real-time video with acceptable quality over a long acoustic link.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134454518","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 : 2018-05-28DOI: 10.1109/OCEANSKOBE.2018.8559472
Jin-Kyu Choi, T. Fukuba, Hiroyuki Yamamoto, Y. Furushima, T. Miwa, K. Kawaguchi
Environmental impact assessment on the site of ocean resource exploration and exploitation is required to be conducted under regulatory guidelines to protect and preserve ecosystems and biodiversity. Thus, observatories that can achieve long-term monitoring are needed for such a purpose. In connection with this, we have developed a long-term ecosystem monitoring lander, called “LEMON lander,” and an equipment for its pinpoint and safe installation, called “pilot frame.” LEMON lander is attached at the pilot frame on deck and goes down to the seafloor by using an onboard winch. After the pilot frame landed on the seafloor, LEMON lander is released from the pilot frame. The falling distance from the pilot frame is less than 30cm and the safety during falling and landing is assured; moreover, the pilot frame is more than 330kgf in water and this allows to deploy at a target position even under a bit strong current. We have succeeded to deploy two LEMON landers by using the pilot frame for an actual mission. This paper focuses on the installation method using the pilot frame and reports the installation operation for the actual mission, together with brief introduction of LEMON lander.
{"title":"Pinpoint and Safe Installation of a Standalone Seafloor Observatory","authors":"Jin-Kyu Choi, T. Fukuba, Hiroyuki Yamamoto, Y. Furushima, T. Miwa, K. Kawaguchi","doi":"10.1109/OCEANSKOBE.2018.8559472","DOIUrl":"https://doi.org/10.1109/OCEANSKOBE.2018.8559472","url":null,"abstract":"Environmental impact assessment on the site of ocean resource exploration and exploitation is required to be conducted under regulatory guidelines to protect and preserve ecosystems and biodiversity. Thus, observatories that can achieve long-term monitoring are needed for such a purpose. In connection with this, we have developed a long-term ecosystem monitoring lander, called “LEMON lander,” and an equipment for its pinpoint and safe installation, called “pilot frame.” LEMON lander is attached at the pilot frame on deck and goes down to the seafloor by using an onboard winch. After the pilot frame landed on the seafloor, LEMON lander is released from the pilot frame. The falling distance from the pilot frame is less than 30cm and the safety during falling and landing is assured; moreover, the pilot frame is more than 330kgf in water and this allows to deploy at a target position even under a bit strong current. We have succeeded to deploy two LEMON landers by using the pilot frame for an actual mission. This paper focuses on the installation method using the pilot frame and reports the installation operation for the actual mission, together with brief introduction of LEMON lander.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128999195","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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