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2014 IEEE Sensor Systems for a Changing Ocean (SSCO).最新文献

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Range and depth estimation of bowhead whale calls in the Arctic using a single hydrophone 用单水听器估计北极弓头鲸叫声的范围和深度
Pub Date : 2014-10-13 DOI: 10.1109/SSCO.2014.7000373
J. Bonnel, A. Thode
Bowhead whales generate low-frequency vocalizations in shallow-water Arctic environments. The propagation of these sounds is adequately described by normal mode theory. Indeed, at low-frequency the environment acts as a dispersive waveguide. The propagated signal can be modeled by a sum of normal modes, and the source position can be inferred from the different modal arrivals. However, this requires to estimate the modes from the received signal. Traditionally, modal arrivals are separated using synchronized hydrophone arrays. Here a nonlinear signal processing method called warping is used to filter the modes on just a single hydrophone. Once modes are filtered, the source depth and range can be estimated using classical Matched Mode Processing. This methodology is illustrated on an experimental bowhead whale vocalization recorded in the Beaufort Sea. Because seabed properties are not well known, it is necessary to jointly perform source localization and geacoustic inversion.
弓头鲸在北极的浅水环境中发出低频的声音。这些声音的传播可以用正模理论来充分描述。事实上,在低频时,环境就像一个色散波导。传播的信号可以用正常模态的和来建模,源的位置可以从不同的模态到达中推断出来。然而,这需要从接收信号中估计模式。传统上,使用同步水听器阵列分离模态到达。这里使用一种称为翘曲的非线性信号处理方法来过滤单个水听器上的模式。一旦模式被过滤,源深度和范围可以估计使用经典匹配模式处理。这种方法是在波弗特海记录的实验性弓头鲸发声说明。由于海底性质不太清楚,有必要联合进行震源定位和地声反演。
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引用次数: 5
Passive acoustic monitoring of coastal dynamical oceanographic phenomena using single hydrophone 基于单水听器的海岸动力海洋现象被动声监测
Pub Date : 2014-10-13 DOI: 10.1109/SSCO.2014.7000374
G. B. Kinda, J. Bonnel
During long term passive acoustic monitoring in shallow water in Iroise Sea, the time series of the ambient noise recorded with a single hydrophone showed some unusual striations in the time-frequency domain. The changes in the striation slopes are related to the tidal oscillations, which induce a change in the water depth of the waveguide. The observed striations are highly correlated with the tides, and this phenomenon is classically described by a simple scalar γ called the depth-frequency waveguide invariant. However, the observed invariant γobs ≃ -1 differs from the canonical γ = -2 value. A theoretical approach is developed to explain the observed γobs, and particularly its dependence on the bathymetry in a range-dependent environment.
在伊洛伊兹海浅水长期被动声监测中,单水听器记录的环境噪声时间序列在时频域出现了一些不寻常的条纹。条纹斜率的变化与潮汐振荡有关,潮汐振荡引起波导水深的变化。观察到的条纹与潮汐高度相关,这种现象经典地被称为深度-频率波导不变量的简单标量γ描述。然而,观测到的不变γobs≃-1与标准γ = -2不同。提出了一种理论方法来解释观测到的γ - obs,特别是它在距离依赖环境中对测深的依赖。
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引用次数: 2
Underwater potentiostat for real-time electrochemical corrosion measurements 用于实时电化学腐蚀测量的水下恒电位器
Pub Date : 2014-10-01 DOI: 10.1109/SSCO.2014.7000386
I. Masmitja, J. del Río, J. D. de Damborenea, A. Conde
Corrosion due to seawater studies are urgently required for a safe technology development. Some studies demonstrated that the corrosion rates for most alloys could be four times less than surface corrosion rates. A device for continuous electrochemical measuring of corrosion in real time and underwater is shown in this paper. Therefore, this equipment allows improving the knowledge about long-term materials behavior in this aggressive environment for the scientific community. Also, it has been designed to allow the connection to underwater observatories such as OBSEA.
海水腐蚀研究是安全技术发展的迫切需要。一些研究表明,大多数合金的腐蚀速率可能比表面腐蚀速率低四倍。介绍了一种实时水下连续电化学腐蚀测量装置。因此,该设备可以提高科学界对这种恶劣环境下长期材料行为的了解。此外,它的设计允许连接水下观测站,如OBSEA。
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引用次数: 1
Marine sensors; the market, the trends and the value chain 海洋传感器;市场、趋势和价值链
Pub Date : 2014-10-01 DOI: 10.1109/SSCO.2014.7000369
J. Gille, Linette de Swart, I. Giannelos, E. Delory, A. Castro
This market analysis is based on the work performed for the EU/FP7 project NeXOS that focuses on preparing the new generation of multi-functional maritime sensors. Naturally, such a venture cannot be successful without a prior thorough assessment of the market status and an in depth understanding of the user needs and the upcoming market trends. Therefore the market assessment we have performed has the following objectives: · to map the current and upcoming applications of maritime sensors in the various fields of implementation · to create a solid understanding of the structure of the market for maritime sensors; · to draw the sector's value chain indicating the activities that produce added value to maritime sensor activities; · to assess the competitiveness of the European maritime sensor industry; and · to identify the trends for the future development of the respective market segments as well as the barriers for further development of the market; The main focus of the study is to assess the market for optic sensors, passive acoustic sensors and the Ecosystem Approach to Fisheries (EAF) sensor system. These maritime sensors have been identified to be applied or have potential application in a big variety of activities ranging from environmental monitoring and climate change research to seismic research and marine mammals. The value chain of the market has been drawn to depict the distinct activities that add value to maritime observation activities. The activities on the main branch of the value chain include sensor manufacturing, sensor developing and integrating into platforms as well as adapting the sensors to the needs of the maritime observations, operating them, analysing the collected data and exploiting the results of the observations. Currently there is no clear distinction of activities performed by each stakeholder group resulting in varying perceptions of the range of value-adding activities that different stakeholders focus on. However a set of main stakeholder groups with more or less distinct behaviour has been identified and includes: i) sensor manufacturers; ii) sensor developers; iii) service providers and iv) end-users of environmental monitoring services. In our research, we have identified the main and most promising market segments for maritime sensor activities and distinguished 3 perspectives of sensor use that actually drive the user requirements for sensors. These perspectives are: i) research, ii) industry and iii) research and development. In this study we dive into the growth expectations of the different market segments beyond the traditional, long-standing markets of Europe and N America looking into the developments on a global scale. As far as competitiveness of the sector is concerned, the European sensor market position in the world is assessed compared to the ongoing strong by the N. American sector and a SWOT analysis is performed to highlight the strengths, weaknesses, opportunities and threats for the Eu
该市场分析是基于欧盟/FP7项目NeXOS所做的工作,该项目专注于准备新一代多功能海事传感器。当然,如果没有事先对市场状况进行彻底的评估,对用户需求和即将到来的市场趋势有深入的了解,这样的冒险就不可能成功。因此,我们进行的市场评估有以下目标:·绘制海事传感器在各个实施领域的当前和未来应用图·建立对海事传感器市场结构的坚实理解;·绘制行业价值链,指出为海事传感器活动创造附加值的活动;·评估欧洲海事传感器产业的竞争力;·确定各个细分市场的未来发展趋势以及市场进一步发展的障碍;该研究的主要重点是评估光学传感器、被动声学传感器和渔业生态系统方法(EAF)传感器系统的市场。从环境监测、气候变化研究到地震研究和海洋哺乳动物,这些海洋传感器已经被确定在各种各样的活动中得到应用或有潜在的应用。绘制了市场价值链,以描述为海上观测活动增加价值的不同活动。价值链主要分支的活动包括传感器制造、传感器开发和集成到平台中,以及使传感器适应海事观测的需要、操作传感器、分析收集的数据和利用观测结果。目前,对每个利益相关者群体所开展的活动没有明确的区分,导致对不同利益相关者所关注的增值活动范围的看法不同。然而,已经确定了一组具有或多或少不同行为的主要利益相关者群体,包括:i)传感器制造商;Ii)传感器开发人员;Iii)服务提供者及iv)环境监测服务的最终使用者。在我们的研究中,我们已经确定了海事传感器活动的主要和最有前途的细分市场,并区分了传感器使用的3种观点,这些观点实际上推动了用户对传感器的需求。这些观点是:i)研究,ii)工业和iii)研究和发展。在这项研究中,我们深入研究了不同细分市场的增长预期,超越了传统的、长期存在的欧洲和北美市场,并研究了全球范围内的发展。就该部门的竞争力而言,与北美部门的持续强劲相比,评估了欧洲传感器在世界上的市场地位,并进行了SWOT分析,以突出欧洲传感器制造商行业的优势,劣势,机会和威胁。此外,潜在竞争对手的前景上升在其他地理区域,并声称全球市场蛋糕的一部分进行了评估。加强欧洲工业地位的潜在建议可能包括建立共同标准和发展适当的商业模式,这些模式将有助于产品的工业化,或者将重点放在考虑到每个产品市场成熟度的中小企业上。
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引用次数: 1
Development of environmental sensors for monitoring of corrosion in marine offshore and wind energy industries 用于海洋、近海和风能工业腐蚀监测的环境传感器的发展
Pub Date : 2014-10-01 DOI: 10.1109/SSCO.2014.7000379
Maria Yasri, R. Khalifeh, B. Lescop, F. Gallée, E. Diler, D. Thierry, S. Rioual
Wireless and fully energetically passive corrosion sensors are presented for the monitoring of degradation of infrastructures located in coastal zones and marine environments. Their application concerns thus marine offshore, wind energy industry as well as harbor maintenance procedures. Several sensitive parts and architectures will be presented at the conferences. In this paper, an example of such sensor is provided.
提出了一种无线、全能量被动腐蚀传感器,用于监测沿海地区和海洋环境中基础设施的退化。因此,它们的应用涉及海洋近海、风能工业以及港口维护程序。几个敏感部件和架构将在会议上提出。文中给出了该传感器的一个实例。
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引用次数: 4
Low-cost inertial measurement of ocean waves 海浪的低成本惯性测量
Pub Date : 2014-10-01 DOI: 10.1109/SSCO.2014.7000387
Donal Kennedy, M. Walsh, B. O’flynn
Although commercial wave buoys are the de facto standard for ocean wave measurement, and are highly accurate and reliable, their high cost of deployment and maintenance can render them impractical for many applications. This paper describes the measurement of simulated sea states in a wave tank using Tyndall Wireless Inertial Measurement Units (WIMUs). These inertial measurement units are miniature devices which combine a microcontroller, wireless communication capability, and solidstate MEMS sensors (accelerometer, gyroscope and magnetometer) with specialized algorithms for specific analytical tasks. Methods and results are described here for measurement of simulated sea states. These tests represent a range of wave heights and periods from which the performance of the system may be quantified. Wave height is measured with an accuracy of -3% ±5%, with period measured at 1% ±7%. These results are shown to be significantly better than those achieved using methods in the currently available literature.
虽然商用波浪浮标是实际的海浪测量标准,而且非常准确和可靠,但其高昂的部署和维护成本使其在许多应用中不切实际。本文介绍了用Tyndall无线惯性测量单元(WIMUs)测量波浪槽中的模拟海况。这些惯性测量单元是微型设备,结合了微控制器、无线通信能力和固态MEMS传感器(加速度计、陀螺仪和磁力计),以及用于特定分析任务的专用算法。本文描述了模拟海况测量的方法和结果。这些测试代表了一个波高和周期的范围,由此可以量化系统的性能。波高测量精度为-3%±5%,周期测量精度为1%±7%。这些结果被证明明显优于目前可用文献中使用方法获得的结果。
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引用次数: 3
Coastal observatory as a development platform for marine instrumentation 海岸天文台作为海洋仪器的发展平台
Pub Date : 2014-10-01 DOI: 10.1109/SSCO.2014.7000372
Y. Auffret, P. Bouvet, A. Loussert, Laure Amate, Didier Munck
Sea Test Base / Celadon is a non-profit organization, which offers testing facilities mainly based on a coastal non-cabled observatory, dedicated for designing, testing and qualifying marine sensors and marine instruments in real conditions. This platform can be considered as an experimental laboratory at sea, available 24/7/365 from the Internet. In a first step, we describe, analyse and compare the differences in terms of architecture and services between conventional marine cabled, non-cabled observatories and Sea Test Base facilities. In a second step, we present the results obtained with this platform to design, improve and qualify the hardware and the algorithms for a Multiple-Input and Multiple-Output (MIMO) modem for underwater acoustic communication. In conclusion, we present the upcoming extension of Sea Test Base, which consists of a shared open platform based on a mesh network including buoys and a pontoon, dedicated to underwater acoustic experiments at sea.
Sea Test Base / Celadon是一个非营利性组织,主要提供基于沿海非电缆天文台的测试设施,致力于在实际条件下设计,测试和鉴定海洋传感器和海洋仪器。这个平台可以看作是海上的实验实验室,可以从互联网上24/7/365全天候使用。首先,我们描述、分析和比较了传统海洋电缆、非电缆观测站和海上试验基地设施在架构和服务方面的差异。在第二步中,我们给出了利用该平台设计、改进和验证用于水声通信的多输入多输出(MIMO)调制解调器的硬件和算法的结果。总之,我们提出了即将进行的海上试验基地扩建,该基地由一个基于包括浮标和浮筒在内的网状网络的共享开放平台组成,专门用于海上水声实验。
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引用次数: 1
A Sensor Web architecture for sharing oceanographic sensor data 用于共享海洋传感器数据的传感器Web体系结构
Pub Date : 2014-10-01 DOI: 10.1109/SSCO.2014.7000365
S. Jirka, Daniel Mihai Toma, J. del Río, E. Delory
This paper introduces the Sensor Web architecture of the NeXOS project as example how interoperable standards help, to facilitate the creation of an infrastructure for sharing oceanographic observation data and the integration of sensor data into applications. Important technological foundations of the NeXOS Sensor Web architecture are the concepts of spatial data infrastructures and the Sensor Web Enablement framework of the Open Geospatial Consortium. As a result an architecture concept has been developed, which is introduced in this paper.
本文介绍了NeXOS项目的传感器Web架构,作为互操作标准如何帮助创建共享海洋观测数据和将传感器数据集成到应用程序中的基础设施的示例。NeXOS传感器网络架构的重要技术基础是空间数据基础设施的概念和开放地理空间联盟的传感器网络实现框架。因此,本文提出了一个体系结构概念。
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引用次数: 4
Optimization of a Wi-Fi radio antenna for underwater applications 优化水下应用的Wi-Fi无线电天线
Pub Date : 2014-10-01 DOI: 10.1109/SSCO.2014.7000385
Gloria Makhoul, F. Le Pennec
In the context of future seabed underwater scientific observatories, a new Wi-Fi antenna (at 2.45 GHz) was recently developed for high data rate and short range wireless underwater applications [1]. It supports real time video and rapid large file transmissions (54 Mb/s during experiments). Also its simplicity and compatibility with standard Wi-Fi equipment (modems, etc.) makes it a low cost solution for underwater applications.
在未来海底水下科学观测的背景下,最近开发了一种新的Wi-Fi天线(2.45 GHz),用于高数据速率和短距离无线水下应用[1]。它支持实时视频和快速大文件传输(实验期间54 Mb/s)。此外,它的简单性和与标准Wi-Fi设备(调制解调器等)的兼容性使其成为水下应用的低成本解决方案。
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引用次数: 0
Implementation of a fast coral detector using a supervised machine learning and Gabor Wavelet feature descriptors 利用监督机器学习和Gabor小波特征描述符实现快速珊瑚探测器
Pub Date : 2014-10-01 DOI: 10.1109/SSCO.2014.7000371
E. Tusa, Alan Reynolds, D. Lane, N. Robertson, H. Villegas, A. Bosnjak
The task of reef restoration is very challenging for volunteer SCUBA divers, if it has to be carried out at deep sea, 200 meters, and low temperatures. This kind of task can be properly performed by an Autonomous Underwater Vehicle (AUV); able to detect the location of reef areas and approach them. The aim of this study is the development of a vision system for coral detections based on supervised machine learning. In order to achieve this, we use a bank of Gabor Wavelet filters to extract texture feature descriptors, we use learning classifiers, from OpenCV library, to discriminate coral from non-coral reef. We compare: running time, accuracy, specificity and sensitivity of nine different learning classifiers. We select Decision Trees algorithm because it shows the fastest and the most accurate performance. For the evaluation of this system, we use a database of 621 images (developed for this purpose), that represents the coral reef located in Belize: 110 for training the classifiers and 511 for testing the coral detector.
如果要在200米的深海和低温下进行,那么对志愿者来说,恢复珊瑚礁的任务是非常具有挑战性的。这种任务可以由自主水下航行器(AUV)来完成;能够探测到礁石区域的位置并接近它们。本研究的目的是开发一种基于监督机器学习的珊瑚检测视觉系统。为了实现这一点,我们使用一组Gabor小波滤波器来提取纹理特征描述符,我们使用OpenCV库中的学习分类器来区分珊瑚和非珊瑚礁。我们比较了九种不同学习分类器的运行时间、准确率、特异性和灵敏度。我们选择决策树算法是因为它表现出最快和最准确的性能。为了对该系统进行评估,我们使用了一个包含621张图像(为此目的开发)的数据库,这些图像代表了位于伯利兹的珊瑚礁:110张用于训练分类器,511张用于测试珊瑚探测器。
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引用次数: 21
期刊
2014 IEEE Sensor Systems for a Changing Ocean (SSCO).
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