首页 > 最新文献

OCEANS 2019 - Marseille最新文献

英文 中文
A Data-driven Vessel Motion Model for Offshore Access Forecasting 一种数据驱动的船舶运动模型用于海上通道预测
Pub Date : 2019-10-19 DOI: 10.1109/OCEANSE.2019.8867176
C. Gilbert, J. Browell, D. McMillan
Access forecasting for offshore wind farm operations is concerned with the prediction of conditions during transfer of personnel between offshore structures and vessels. Currently dispatch/scheduling decisions are typically made on the basis of single-valued forecasts of significant wave height from a numerical weather prediction model. The aim of this study is to move beyond the significant wave height metric using a data-driven methodology to estimate vessel motion during transfer. This is because turbine access is constrained by the behaviour of crew transfer vessels and the transition piece in the local wave climate. Using generalised additive models for location, scale, and shape, we map the relationship between measured vessel heave motion and measured wave conditions in terms of significant wave height, peak wave period, and peak wave direction. This is explored via a case study where measurements are collected via vessel telemetry and an on-site wave buoy during the construction phase of an east coast offshore wind farm in the UK. Different model formulations are explored and the best performing trained model, in terms of the Akaike Information Criterion, is defined. Operationally, this model is driven by temporal scenario forecasts of the input wave buoy measurements to estimate the vessel motion during transfer up to 5 days ahead.
海上风电场作业的通道预测涉及海上结构物和船舶之间人员转移的条件预测。目前的调度/调度决策通常是基于数值天气预报模式对重要波高的单值预报。本研究的目的是利用数据驱动的方法来估计船舶在转移过程中的运动,从而超越重要的波高度量。这是因为涡轮通道受到船员转运船的行为和局部波浪气候中的过渡片的限制。使用位置、规模和形状的广义加性模型,我们根据有效波高、峰值波周期和峰值波方向绘制了测量到的船舶升沉运动与测量到的波浪条件之间的关系。这是通过一个案例研究来探讨的,在英国东海岸海上风电场的建设阶段,通过船舶遥测和现场波浪浮标收集测量数据。探索了不同的模型公式,并根据赤池信息准则定义了表现最佳的训练模型。在操作上,该模型是由输入波浪浮标测量的时间情景预测驱动的,以估计未来5天内转移期间的船舶运动。
{"title":"A Data-driven Vessel Motion Model for Offshore Access Forecasting","authors":"C. Gilbert, J. Browell, D. McMillan","doi":"10.1109/OCEANSE.2019.8867176","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867176","url":null,"abstract":"Access forecasting for offshore wind farm operations is concerned with the prediction of conditions during transfer of personnel between offshore structures and vessels. Currently dispatch/scheduling decisions are typically made on the basis of single-valued forecasts of significant wave height from a numerical weather prediction model. The aim of this study is to move beyond the significant wave height metric using a data-driven methodology to estimate vessel motion during transfer. This is because turbine access is constrained by the behaviour of crew transfer vessels and the transition piece in the local wave climate. Using generalised additive models for location, scale, and shape, we map the relationship between measured vessel heave motion and measured wave conditions in terms of significant wave height, peak wave period, and peak wave direction. This is explored via a case study where measurements are collected via vessel telemetry and an on-site wave buoy during the construction phase of an east coast offshore wind farm in the UK. Different model formulations are explored and the best performing trained model, in terms of the Akaike Information Criterion, is defined. Operationally, this model is driven by temporal scenario forecasts of the input wave buoy measurements to estimate the vessel motion during transfer up to 5 days ahead.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122671698","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}
引用次数: 3
Decentralized System Intelligence in Data Driven Networks for Shipping Industrial Applications: Digital Models to Blockchain Technologies 航运工业应用数据驱动网络中的分散系统智能:区块链技术的数字模型
Pub Date : 2019-10-14 DOI: 10.1109/OCEANSE.2019.8867045
L. Perera, Karen V. Czachorowski
Data driven networks applicable for shipping industrial applications to create decentralized system intelligence are considered in this study. Such system intelligence can facilitate to improve the respective operational efficiency in local (i.e. vessel operations) and global (i.e. logistics operations) scales in shipping as the main advantage. The main features of these data driven networks are summarized in the first part of this study. Two applications of digital models and blockchain technologies are discussed and compared with their features to illustrate their similarities and differences in the second part of this study. A digital model represents a vector based mathematical structure derived from ship performance and navigation data sets and has categorized as a low-level information model. It is also believed that the respective data sets from industrial IoT (internet of things) should go through such low-level models to improve their quality. These data driven networks can be used to quantify ship performance and navigation conditions, where the outcome can also be used to improve vessel energy efficiency and reduce engine emissions in a local scale. A blockchain represents a decentralized, distributed and digital ledger system in a public domain and can handle and record transactions executed by many users. That has categorized as a high-level information model due the high quality data sets from industrial processes that these networks are handling. Such data driven networks can be used to formulate various logistics operations in shipping and optimize their operational conditions in a global scale. The outcomes of these data driven networks can be used to improve operational efficiency and reduce the respective costs in the shipping industry.
本研究考虑了适用于航运工业应用的数据驱动网络,以创建分散的系统智能。这种系统智能可以促进提高各自在本地(即船舶操作)和全球(即物流操作)规模上的运作效率,以航运为主要优势。本研究的第一部分总结了这些数据驱动网络的主要特征。在本研究的第二部分中,讨论并比较了数字模型和区块链技术的两种应用,以说明它们的异同。数字模型表示基于船舶性能和导航数据集的矢量数学结构,并被归类为低级信息模型。工业物联网的数据集也应该通过这样的低层次模型来提高质量。这些数据驱动的网络可用于量化船舶性能和航行条件,其结果也可用于提高船舶能源效率,并在局部范围内减少发动机排放。区块链代表了公共领域的去中心化、分布式和数字分类账系统,可以处理和记录由许多用户执行的交易。由于这些网络正在处理来自工业过程的高质量数据集,因此它被归类为高级信息模型。这种数据驱动的网络可以在全球范围内制定航运中的各种物流操作,并优化其操作条件。这些数据驱动网络的成果可用于提高航运业的运营效率并降低各自的成本。
{"title":"Decentralized System Intelligence in Data Driven Networks for Shipping Industrial Applications: Digital Models to Blockchain Technologies","authors":"L. Perera, Karen V. Czachorowski","doi":"10.1109/OCEANSE.2019.8867045","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867045","url":null,"abstract":"Data driven networks applicable for shipping industrial applications to create decentralized system intelligence are considered in this study. Such system intelligence can facilitate to improve the respective operational efficiency in local (i.e. vessel operations) and global (i.e. logistics operations) scales in shipping as the main advantage. The main features of these data driven networks are summarized in the first part of this study. Two applications of digital models and blockchain technologies are discussed and compared with their features to illustrate their similarities and differences in the second part of this study. A digital model represents a vector based mathematical structure derived from ship performance and navigation data sets and has categorized as a low-level information model. It is also believed that the respective data sets from industrial IoT (internet of things) should go through such low-level models to improve their quality. These data driven networks can be used to quantify ship performance and navigation conditions, where the outcome can also be used to improve vessel energy efficiency and reduce engine emissions in a local scale. A blockchain represents a decentralized, distributed and digital ledger system in a public domain and can handle and record transactions executed by many users. That has categorized as a high-level information model due the high quality data sets from industrial processes that these networks are handling. Such data driven networks can be used to formulate various logistics operations in shipping and optimize their operational conditions in a global scale. The outcomes of these data driven networks can be used to improve operational efficiency and reduce the respective costs in the shipping industry.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123773564","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}
引用次数: 2
Robust 3D Shape Classification Method using Simulated Multi View Sonar Images and Convolutional Nueral Network 基于模拟多视点声纳图像和卷积神经网络的鲁棒三维形状分类方法
Pub Date : 2019-06-19 DOI: 10.1109/OCEANSE.2019.8867438
Meungsuk Lee, Jason Kim, Son-cheol Yu
Object detection and classification in the water enhances not only the application of the autonomous underwater vehicle(AUV) but also localization of the AUV. Object detection and classification using sonar images are challenging problems due to low resolution and low signal-to-noise ratio. In this paper, we propose shape classification method using multi-view sonar images for AUV. To train multi-view of sonar images, we used network which is connected in parallel with convolutional neural network(CNN). We used Alex-net for the basic CNN model. The extracted features by the CNN are collected through the pooling layer and connected to the fully connected layer to classify the shape. To overcome the lack of training data, sonar simulator was used to generate data set. As a result, 6 shape are well classified and also shows possibility for the recognition of the real sonar images acquired in water tank.
水下目标的检测与分类不仅提高了自主水下航行器的应用,而且提高了自主水下航行器的定位。由于低分辨率和低信噪比,利用声纳图像进行目标检测和分类是一个具有挑战性的问题。本文提出了一种基于多视点声纳图像的水下航行器形状分类方法。为了训练多视点声纳图像,我们采用了与卷积神经网络(CNN)并行连接的网络。我们使用Alex-net作为基本的CNN模型。CNN提取的特征通过池化层收集,连接到全连接层对形状进行分类。为了克服训练数据的不足,利用声纳模拟器生成数据集。结果表明,6个形状分类良好,也显示了对水箱中获取的真实声纳图像识别的可能性。
{"title":"Robust 3D Shape Classification Method using Simulated Multi View Sonar Images and Convolutional Nueral Network","authors":"Meungsuk Lee, Jason Kim, Son-cheol Yu","doi":"10.1109/OCEANSE.2019.8867438","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867438","url":null,"abstract":"Object detection and classification in the water enhances not only the application of the autonomous underwater vehicle(AUV) but also localization of the AUV. Object detection and classification using sonar images are challenging problems due to low resolution and low signal-to-noise ratio. In this paper, we propose shape classification method using multi-view sonar images for AUV. To train multi-view of sonar images, we used network which is connected in parallel with convolutional neural network(CNN). We used Alex-net for the basic CNN model. The extracted features by the CNN are collected through the pooling layer and connected to the fully connected layer to classify the shape. To overcome the lack of training data, sonar simulator was used to generate data set. As a result, 6 shape are well classified and also shows possibility for the recognition of the real sonar images acquired in water tank.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121704062","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}
引用次数: 3
Weighted Grid Partitioning for Panel-Based Bathymetric SLAM 基于面板的水深SLAM加权网格划分
Pub Date : 2019-06-18 DOI: 10.1109/OCEANSE.2019.8867531
Junwoo Jang, Jinwhan Kim
Bathymetric navigation enables the long-term operation of autonomous underwater vehicles by reducing navigation drift errors with no need for GPS position fixes. In the case that a bathymetric map is not available, the simultaneous localization and mapping (SLAM) algorithm is required, but this increases computational complexity and memory requirement. Panel-based bathymetric SLAM could considerably reduce the computational burden. However, it may suffers from incorrect update when the vehicle does not belong to the updated panel. This study proposes a new update method, called weighted grid partitioning, which considers the probability distribution of a vehicle's location, and is more effective in terms of the map accuracy, computational burden, and memory usage compared to standard update methods. The feasibility of the proposed algorithm is verified through simulations.
水深导航通过减少导航漂移误差而无需GPS定位来实现自主水下航行器的长期运行。在没有水深图的情况下,需要同时定位和映射(SLAM)算法,但这会增加计算复杂性和内存需求。基于面板的测深SLAM可以大大减少计算负担。然而,当车辆不属于更新后的面板时,它可能会遭受不正确的更新。本文提出了一种新的更新方法,即加权网格划分,该方法考虑了车辆位置的概率分布,与标准更新方法相比,在地图精度、计算负担和内存使用方面更有效。通过仿真验证了该算法的可行性。
{"title":"Weighted Grid Partitioning for Panel-Based Bathymetric SLAM","authors":"Junwoo Jang, Jinwhan Kim","doi":"10.1109/OCEANSE.2019.8867531","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867531","url":null,"abstract":"Bathymetric navigation enables the long-term operation of autonomous underwater vehicles by reducing navigation drift errors with no need for GPS position fixes. In the case that a bathymetric map is not available, the simultaneous localization and mapping (SLAM) algorithm is required, but this increases computational complexity and memory requirement. Panel-based bathymetric SLAM could considerably reduce the computational burden. However, it may suffers from incorrect update when the vehicle does not belong to the updated panel. This study proposes a new update method, called weighted grid partitioning, which considers the probability distribution of a vehicle's location, and is more effective in terms of the map accuracy, computational burden, and memory usage compared to standard update methods. The feasibility of the proposed algorithm is verified through simulations.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128849954","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}
引用次数: 2
Measuring fish activities as additional environmental data during a hydrographic survey with a multi-beam echo sounder 在水文调查中,用多波束回声测深仪测量鱼类活动,作为额外的环境数据
Pub Date : 2019-06-17 DOI: 10.1109/OCEANSE.2019.8867095
Marie Lamouret, Arnaud Abadie, C. Viala, P. Boissery, N. Thirion-Moreau
The modern multi-beam echo sounders (MBES) are advanced instrumentation for active underwater acoustic surveys that can be boarded on oceanic vessels as well on light crafts. Although their versatility allows scientists to perform various environmental studies, their potential is seldom fully exploited. A single data acquisition cruise is not only able to display the seabed backscatter, but also provide an estimation of the fish activities from an underwater site thanks to water column imagery. This work is aiming at developing some (automatic) signal processing techniques to detect, analyse and classify objects observed in the water column with a focus on fish activities to provide fish accumulation and classification but also some comparative analyses along with the seafloor classification.
现代多波束回声测深仪(MBES)是一种先进的主动水声探测仪器,可以安装在远洋船舶上,也可以安装在轻型船上。尽管它们的多功能性使科学家能够进行各种环境研究,但它们的潜力很少得到充分利用。单次数据采集巡航不仅能够显示海底后向散射,而且还可以通过水柱图像从水下站点提供鱼类活动的估计。这项工作的目的是开发一些(自动)信号处理技术来检测、分析和分类在水柱中观察到的物体,重点是鱼类活动,提供鱼类积累和分类,但也有一些比较分析以及海底分类。
{"title":"Measuring fish activities as additional environmental data during a hydrographic survey with a multi-beam echo sounder","authors":"Marie Lamouret, Arnaud Abadie, C. Viala, P. Boissery, N. Thirion-Moreau","doi":"10.1109/OCEANSE.2019.8867095","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867095","url":null,"abstract":"The modern multi-beam echo sounders (MBES) are advanced instrumentation for active underwater acoustic surveys that can be boarded on oceanic vessels as well on light crafts. Although their versatility allows scientists to perform various environmental studies, their potential is seldom fully exploited. A single data acquisition cruise is not only able to display the seabed backscatter, but also provide an estimation of the fish activities from an underwater site thanks to water column imagery. This work is aiming at developing some (automatic) signal processing techniques to detect, analyse and classify objects observed in the water column with a focus on fish activities to provide fish accumulation and classification but also some comparative analyses along with the seafloor classification.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"41 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":"123047995","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}
引用次数: 2
Mapping underwater noise with a SeaExplorer glider at a basin level: Feedback from the first 1000km-long acoustics exploration of the Western French Mediterranean Sea 在盆地水平用SeaExplorer滑翔机绘制水下噪声图:来自法属地中海西部首次1000公里长的声学探测的反馈
Pub Date : 2019-06-17 DOI: 10.1109/OCEANSE.2019.8867341
C. Gervaise, J. Lossent, L. Di Iorio, L. Béguery, Romain Tricarico, P. Boissery, Cathy-Anna Valentini- Poirier
In response to concerns about the impact of manmade noise on marine ecosystems, research and regulatory communities are currently collecting in situ measurements of oceanic noise levels and developing models that map the levels of underwater noise at large scales, forecasting the impact of shipping noise on marine fauna. The objectives of in situ measurements are twofold. First, they provide necessary inputs, i.e. the acoustic signatures of individual ships to feed the models. Second, they are used to calibrate the model and adjust its parameters. The usefulness of the data collected depends on the duration of acquisition and measurement diversity (e.g., shipping density, water depth). Gliders are ideal candidates to collect noise level data across oceanic basins and over long time periods. Here we show results from a SeaExplorer glider equipped with a high quality acoustics payload travelling for 30 days along a 1000km-long transect of the Western French Mediterranean Sea. The trajectory of the glider was chosen to sample the highest and lowest shipping densities. We here report on:–the statistical distribution of oceanic noise levels in the bandwidths assessed by the European Marine Framework Strategy Directive,–the anthropogenic contribution of shipping to the global noise budget and the acoustic footprint of main shipping lanes,–comparisons of the lowest Mediterranean ambient noise levels to the ones of a pristine area with regard to shipping noise,–comparisons between long term coastal fixed mooring measurements ( 3 continuous points) and glider measurements and assessment of the pro and cons of each method (fixed mooring and glider).
为了回应对人为噪音对海洋生态系统影响的关注,研究和监管界目前正在收集海洋噪音水平的现场测量数据,并开发大尺度水下噪音水平图的模型,预测船舶噪音对海洋动物的影响。原位测量的目的是双重的。首先,它们提供必要的输入,即为模型提供单个船舶的声学特征。其次,它们被用来校准模型和调整模型的参数。所收集数据的有用性取决于采集的持续时间和测量的多样性(例如,船舶密度、水深)。滑翔机是收集跨洋盆地和长时间噪声水平数据的理想选择。在这里,我们展示了SeaExplorer滑翔机的结果,该滑翔机配备了高质量的声学有效载荷,沿着法国地中海西部1000公里长的横断面飞行了30天。选取滑翔机的运动轨迹,对最高和最低的运输密度进行采样。我们在此报告:-根据欧洲海洋框架战略指令评估的带宽中海洋噪声水平的统计分布,-航运对全球噪声预算和主要航道声足迹的人为贡献,-地中海最低环境噪声水平与原始地区船舶噪声水平的比较,-长期沿海固定系泊测量(3个连续点)和滑翔机之间的比较测量和评估每种方法的优缺点(固定系泊和滑翔机)。
{"title":"Mapping underwater noise with a SeaExplorer glider at a basin level: Feedback from the first 1000km-long acoustics exploration of the Western French Mediterranean Sea","authors":"C. Gervaise, J. Lossent, L. Di Iorio, L. Béguery, Romain Tricarico, P. Boissery, Cathy-Anna Valentini- Poirier","doi":"10.1109/OCEANSE.2019.8867341","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867341","url":null,"abstract":"In response to concerns about the impact of manmade noise on marine ecosystems, research and regulatory communities are currently collecting in situ measurements of oceanic noise levels and developing models that map the levels of underwater noise at large scales, forecasting the impact of shipping noise on marine fauna. The objectives of in situ measurements are twofold. First, they provide necessary inputs, i.e. the acoustic signatures of individual ships to feed the models. Second, they are used to calibrate the model and adjust its parameters. The usefulness of the data collected depends on the duration of acquisition and measurement diversity (e.g., shipping density, water depth). Gliders are ideal candidates to collect noise level data across oceanic basins and over long time periods. Here we show results from a SeaExplorer glider equipped with a high quality acoustics payload travelling for 30 days along a 1000km-long transect of the Western French Mediterranean Sea. The trajectory of the glider was chosen to sample the highest and lowest shipping densities. We here report on:–the statistical distribution of oceanic noise levels in the bandwidths assessed by the European Marine Framework Strategy Directive,–the anthropogenic contribution of shipping to the global noise budget and the acoustic footprint of main shipping lanes,–comparisons of the lowest Mediterranean ambient noise levels to the ones of a pristine area with regard to shipping noise,–comparisons between long term coastal fixed mooring measurements ( 3 continuous points) and glider measurements and assessment of the pro and cons of each method (fixed mooring and glider).","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":"116584185","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}
引用次数: 0
BIIGLE2Go—A scalable image annotation system for easy deployment on cruises biigle2go -一个可扩展的图像注释系统,便于在游轮上部署
Pub Date : 2019-06-17 DOI: 10.1109/OCEANSE.2019.8867417
Martin Zurowietz, Daniel Langenkämper, T. Nattkemper
Digital imaging is gaining more and more attention in marine environmental monitoring and exploration. Nowadays, mobile platforms such as autonomous underwater vehicles (AUVs) are equipped with high-resolution cameras that can collect gigabytes of digital images in a single dive. To extract quantitative and qualitative information from the accumulating image collections, annotation tools such as BIIGLE 2.0 have been proposed recently and have been established in the data analysis workflow. These tools run as web applications on a central server and can be accessed worldwide via the Internet. However, marine science and engineering are naturally associated with a high degree of mobility and, in some cases, limited resources or Internet access. Here we present a new application architecture for BIIGLE 2.0, which is particularly suitable for offshore deployment on a variety of platforms such as a server, workstation, laptop or even a small single-board computer such as a Raspberry Pi. We refer to the application architecture in combination with a mobile hardware platform as "BIIGLE2Go", which addresses the need for more flexibility and mobility in image annotation. We present and evaluate a first prototype for BIIGLE2Go, which runs as a mobile annotation system on a low-cost Raspberry Pi 3B.
数字成像技术在海洋环境监测与勘探中越来越受到重视。如今,像自主水下航行器(auv)这样的移动平台都配备了高分辨率相机,一次潜水就能收集到千兆字节的数字图像。为了从累积的图像集合中提取定量和定性信息,最近提出了BIIGLE 2.0等注释工具,并在数据分析工作流程中建立了注释工具。这些工具作为web应用程序在中央服务器上运行,并且可以通过Internet在全球范围内访问。然而,海洋科学和工程自然与高度的流动性联系在一起,在某些情况下,资源或互联网接入有限。在这里,我们为BIIGLE 2.0提出了一个新的应用程序架构,它特别适合在各种平台上进行离岸部署,如服务器、工作站、笔记本电脑,甚至是小型单板计算机(如树莓派)。我们将应用程序架构与移动硬件平台相结合称为“BIIGLE2Go”,它解决了图像注释更灵活和移动性的需求。我们提出并评估了BIIGLE2Go的第一个原型,它作为低成本树莓派3B上的移动注释系统运行。
{"title":"BIIGLE2Go—A scalable image annotation system for easy deployment on cruises","authors":"Martin Zurowietz, Daniel Langenkämper, T. Nattkemper","doi":"10.1109/OCEANSE.2019.8867417","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867417","url":null,"abstract":"Digital imaging is gaining more and more attention in marine environmental monitoring and exploration. Nowadays, mobile platforms such as autonomous underwater vehicles (AUVs) are equipped with high-resolution cameras that can collect gigabytes of digital images in a single dive. To extract quantitative and qualitative information from the accumulating image collections, annotation tools such as BIIGLE 2.0 have been proposed recently and have been established in the data analysis workflow. These tools run as web applications on a central server and can be accessed worldwide via the Internet. However, marine science and engineering are naturally associated with a high degree of mobility and, in some cases, limited resources or Internet access. Here we present a new application architecture for BIIGLE 2.0, which is particularly suitable for offshore deployment on a variety of platforms such as a server, workstation, laptop or even a small single-board computer such as a Raspberry Pi. We refer to the application architecture in combination with a mobile hardware platform as \"BIIGLE2Go\", which addresses the need for more flexibility and mobility in image annotation. We present and evaluate a first prototype for BIIGLE2Go, which runs as a mobile annotation system on a low-cost Raspberry Pi 3B.","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":"122565347","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}
引用次数: 3
Influence of the measurement configuration for the assessment of underwater noise radiated from ships in shallow water 测量配置对浅水船舶辐射水下噪声评价的影响
Pub Date : 2019-06-17 DOI: 10.1109/OCEANSE.2019.8867091
V. Meyer, C. Audoly
In the context of the increase of human activities in coastal areas, awareness of the impact on marine mammals has risen. Following the Maritime Strategy Framework Directive of the European Union in 2008, actions have been undertaken to achieve good environmental status of the European seas. For instance, one of the topics is the reduction of the underwater noise, which is mainly due to commercial traffic. In order to set guidelines and propose solutions to reduce the radiated noise from commercial ships, there is a need to define a procedure to measure the underwater sound from ships. In 2016, the ISO committee on underwater acoustics has published a standard describing the experimental procedure to measure the underwater sound from ships, under the reference ISO17208-1. This procedure is intended for deep water environments, i.e. for environments with a minimum depth of 150 m or 1.5 times the overall ship length. A second part, not published yet, has been written to correct the measured data from the reflection of the acoustic waves on the sea surface, effect known as the Lloyd’s mirror effect. In some maritime areas, it can be difficult to find trial zones with sufficient water depths and the measurements can only be done in shallow waters. It is well known that in a shallow water environment, it is difficult to assess the level of a sound source, because of the multiple reflections of the acoustic waves on the bottom and on the sea surface. The aim of this study is to understand which parameters influence the sound measured by a hydrophone array in such a configuration, assuming that the source level is known. Knowing the environment, the sound level measured from each hydrophone on the array is calculated using the open source underwater propagation toolbox AcTUP. The levels are then corrected by the distance and quadratically summed over all the hydrophones, according to the procedure described in ISO17208-1 for deep water measurements. At low frequencies, the radiation of the source is similar to a dipole because of the Lloyd’s mirror effect. At high frequencies, the third-octave bands level tends to a constant number with respect to frequency. It can be shown that the constant value depends on the ratio of water depth to distance to source, and to the sea floor properties. The influence of different parameters is successively investigated: number of hydrophones, sea bottom properties, speed of sound profile. Based on the simulations, empirical formulas are put forward in order to correct the effect of the shallow water environment.
在沿海地区人类活动增加的背景下,人们对海洋哺乳动物影响的认识有所提高。根据2008年欧盟《海洋战略框架指令》,已采取行动,以实现欧洲海洋的良好环境状况。例如,其中一个主题是减少水下噪声,这主要是由于商业交通。为了制定指导方针和提出解决方案,以减少商业船舶的辐射噪声,有必要定义一个程序来测量来自船舶的水声。2016年,ISO水声委员会发布了一项标准,描述了测量船舶水声的实验程序,参考标准为ISO17208-1。本程序适用于深水环境,即最小水深为150米或船舶总长度的1.5倍的环境。第二部分尚未发表,但已经写好了,以纠正声波在海面上反射的测量数据,这种效应被称为劳埃德镜像效应。在一些海域,很难找到有足够水深的试验区,而且只能在浅水区进行测量。众所周知,在浅水环境中,由于声波在海底和海面上的多次反射,很难评估声源的电平。本研究的目的是了解在这种配置下,假设声源水平已知,哪些参数会影响水听器阵列测量的声音。了解环境后,利用开源水下传播工具箱AcTUP计算阵列上每个水听器测量的声级。然后根据ISO17208-1中描述的深水测量程序,根据距离对水位进行校正,并对所有水听器进行二次求和。在低频时,由于劳埃德镜像效应,源的辐射类似于偶极子。在高频率下,第三个八度频带电平相对于频率趋向于一个常数。可以看出,恒定值取决于水深与震源距离的比值,以及海底性质。研究了水听器数量、海底特性、声速等参数对声速的影响。在模拟的基础上,提出了修正浅水环境影响的经验公式。
{"title":"Influence of the measurement configuration for the assessment of underwater noise radiated from ships in shallow water","authors":"V. Meyer, C. Audoly","doi":"10.1109/OCEANSE.2019.8867091","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867091","url":null,"abstract":"In the context of the increase of human activities in coastal areas, awareness of the impact on marine mammals has risen. Following the Maritime Strategy Framework Directive of the European Union in 2008, actions have been undertaken to achieve good environmental status of the European seas. For instance, one of the topics is the reduction of the underwater noise, which is mainly due to commercial traffic. In order to set guidelines and propose solutions to reduce the radiated noise from commercial ships, there is a need to define a procedure to measure the underwater sound from ships. In 2016, the ISO committee on underwater acoustics has published a standard describing the experimental procedure to measure the underwater sound from ships, under the reference ISO17208-1. This procedure is intended for deep water environments, i.e. for environments with a minimum depth of 150 m or 1.5 times the overall ship length. A second part, not published yet, has been written to correct the measured data from the reflection of the acoustic waves on the sea surface, effect known as the Lloyd’s mirror effect. In some maritime areas, it can be difficult to find trial zones with sufficient water depths and the measurements can only be done in shallow waters. It is well known that in a shallow water environment, it is difficult to assess the level of a sound source, because of the multiple reflections of the acoustic waves on the bottom and on the sea surface. The aim of this study is to understand which parameters influence the sound measured by a hydrophone array in such a configuration, assuming that the source level is known. Knowing the environment, the sound level measured from each hydrophone on the array is calculated using the open source underwater propagation toolbox AcTUP. The levels are then corrected by the distance and quadratically summed over all the hydrophones, according to the procedure described in ISO17208-1 for deep water measurements. At low frequencies, the radiation of the source is similar to a dipole because of the Lloyd’s mirror effect. At high frequencies, the third-octave bands level tends to a constant number with respect to frequency. It can be shown that the constant value depends on the ratio of water depth to distance to source, and to the sea floor properties. The influence of different parameters is successively investigated: number of hydrophones, sea bottom properties, speed of sound profile. Based on the simulations, empirical formulas are put forward in order to correct the effect of the shallow water environment.","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":"129491834","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}
引用次数: 0
The PEST: Platform for Environmental Sensing Technology 环境传感技术平台
Pub Date : 2019-06-17 DOI: 10.1109/OCEANSE.2019.8867366
N. Yoder, Victoria L. Preston, A. Michel
Water quality monitoring is a critical task for safeguarding human health, understanding ecosystem balance, and informing regulatory policy in waterway use and maintenance. Direct bottle sampling is the standard for most water quality analysis, however it is limited in both space and time resolution by virtue of ex situ analysis. This inspires the need for in situ observation systems. Unmanned mobile platforms provide the capability for real-time response and spatial coverage. Current platforms for water quality monitoring tend to be expensive to build and maintain, or are large and difficult to deploy. Since even basic water measurements (e.g., temperature, pH) provide useful information about the health of an environment, we leverage the use of open-source low-cost probes on a small unmanned platform. The Platform for Environmental Sensing Technology (PEST), is a first prototype towards a persistent low-cost unmanned water quality monitoring solution for shallow, narrow, and difficult environments that is suitable for deployment by non-robotics experts.
水质监测是保障人类健康、了解生态系统平衡以及为水道使用和维护的监管政策提供信息的关键任务。直接瓶子取样是大多数水质分析的标准,但由于非原位分析,它在空间和时间分辨率上都受到限制。这激发了对现场观测系统的需求。无人驾驶移动平台提供实时响应和空间覆盖能力。目前用于水质监测的平台往往建造和维护成本高昂,或者规模庞大且难以部署。由于即使是基本的水测量(例如温度、pH值)也能提供有关环境健康的有用信息,因此我们在小型无人平台上利用开源低成本探测器。环境传感技术平台(PEST)是首个针对浅层、狭窄和困难环境的持续低成本无人水质监测解决方案的原型,适合由非机器人专家部署。
{"title":"The PEST: Platform for Environmental Sensing Technology","authors":"N. Yoder, Victoria L. Preston, A. Michel","doi":"10.1109/OCEANSE.2019.8867366","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867366","url":null,"abstract":"Water quality monitoring is a critical task for safeguarding human health, understanding ecosystem balance, and informing regulatory policy in waterway use and maintenance. Direct bottle sampling is the standard for most water quality analysis, however it is limited in both space and time resolution by virtue of ex situ analysis. This inspires the need for in situ observation systems. Unmanned mobile platforms provide the capability for real-time response and spatial coverage. Current platforms for water quality monitoring tend to be expensive to build and maintain, or are large and difficult to deploy. Since even basic water measurements (e.g., temperature, pH) provide useful information about the health of an environment, we leverage the use of open-source low-cost probes on a small unmanned platform. The Platform for Environmental Sensing Technology (PEST), is a first prototype towards a persistent low-cost unmanned water quality monitoring solution for shallow, narrow, and difficult environments that is suitable for deployment by non-robotics experts.","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":"130570534","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}
引用次数: 0
Application of Deep Object Detection in Underwater Acoustic Pulse Interception 深度目标检测在水声脉冲拦截中的应用
Pub Date : 2019-06-17 DOI: 10.1109/OCEANSE.2019.8867085
Yue Li, Xiaochuan Ma, Yu Liu, Lei Wang, Xuan Li, Dongyu Yuan
Underwater acoustic pulse interception is an important task for underwater signal processing system, including the detection and identification of unknown acoustic pulses. An acoustic pulse interception method based on deep learning is proposed. The interception system consists of a pulse detection network and a DOA estimation network. The pulse detection neural network is used to achieve multi-pulse detection and bounding box inference on the spectrogram. The phase component of the short-time Fourier transform coefficients in the time-frequency bounding box is extracted. Then the DOA estimation network learns the phase feature to figure out the direction of arrival of each detected pulse by regression. Finally, the number of sources and their DOA estimates could be obtained through such operations as outlier removal and data fusion. Simulation results show that this method is able to achieve reliable pulse detection, source number estimation and high precision DOA estimation in underwater acoustic environment.
水声脉冲拦截是水下信号处理系统的一项重要任务,包括对未知水声脉冲的检测和识别。提出了一种基于深度学习的声脉冲拦截方法。该拦截系统由脉冲检测网络和DOA估计网络组成。利用脉冲检测神经网络实现多脉冲检测和对谱图的边界盒推断。提取时频边界盒中短时傅里叶变换系数的相位分量。然后,DOA估计网络学习相位特征,通过回归计算出每个被检测脉冲的到达方向。最后,通过去除离群值和数据融合等操作,得到源的个数和DOA估计。仿真结果表明,该方法能够在水声环境下实现可靠的脉冲检测、源数估计和高精度的DOA估计。
{"title":"Application of Deep Object Detection in Underwater Acoustic Pulse Interception","authors":"Yue Li, Xiaochuan Ma, Yu Liu, Lei Wang, Xuan Li, Dongyu Yuan","doi":"10.1109/OCEANSE.2019.8867085","DOIUrl":"https://doi.org/10.1109/OCEANSE.2019.8867085","url":null,"abstract":"Underwater acoustic pulse interception is an important task for underwater signal processing system, including the detection and identification of unknown acoustic pulses. An acoustic pulse interception method based on deep learning is proposed. The interception system consists of a pulse detection network and a DOA estimation network. The pulse detection neural network is used to achieve multi-pulse detection and bounding box inference on the spectrogram. The phase component of the short-time Fourier transform coefficients in the time-frequency bounding box is extracted. Then the DOA estimation network learns the phase feature to figure out the direction of arrival of each detected pulse by regression. Finally, the number of sources and their DOA estimates could be obtained through such operations as outlier removal and data fusion. Simulation results show that this method is able to achieve reliable pulse detection, source number estimation and high precision DOA estimation in underwater acoustic environment.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"76 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":"116371380","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}
引用次数: 0
期刊
OCEANS 2019 - Marseille
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1