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2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)最新文献

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Transfer Learning for Small-Scale Fish Image Classification 小尺度鱼类图像分类的迁移学习
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8559473
Chenchen Qiu, J. Cui, Shaoyong Zhang, Chao Wang, Zhaorui Gu, Haiyong Zheng, Bing Zheng
Fish image classification on small-scale datasets is a classical fine-grained classification problem with more challenging than common classification problems since popular Convolutional Neural Networks (CNNs) always need massive labeled images to achieve best effects. This paper presents a method for fine-grained fish image classification on small-scale dataset by improving transfer learning with Bilinear Convolutional Neural Networks (B-CNNs). Contrast to the popular CNNs for image classification such as VGG net or ResNet, our method is capable of classifying images with insufficient training data. We evaluate the performance of our method and state-of-the-art CNNs on a small-scale fine-grained dataset (Croatian fish dataset) with only about 10 samples per category. The experimental results show that our transfer learning method can greatly enhance the accuracy on four popular CNNs. In particular, the method on Inception-v4 with 78.25
小规模数据集上的鱼类图像分类是一个经典的细粒度分类问题,它比普通分类问题更具挑战性,因为流行的卷积神经网络(cnn)总是需要大量标记图像才能达到最佳效果。提出了一种基于双线性卷积神经网络(b - cnn)改进迁移学习的小尺度鱼图像分类方法。与VGG net或ResNet等流行的cnn图像分类方法相比,我们的方法能够对训练数据不足的图像进行分类。我们在一个小规模的细粒度数据集(克罗地亚鱼数据集)上评估了我们的方法和最先进的cnn的性能,每个类别只有大约10个样本。实验结果表明,我们的迁移学习方法可以大大提高四种流行cnn的准确率。特别是,使用78.25的Inception-v4上的方法
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引用次数: 4
Consensus Protocol for Underwater Multi-Robot System Using Scheduled Acoustic Communication 基于预定声通信的水下多机器人系统共识协议
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8558859
Barbara Arbanas, T. Petrović, S. Bogdan
In this paper, we present a newly developed consensus protocol for an underwater multi-robot system using acoustic communication. The approach is motivated by a system in which robots, called aMussels, are dispersed in the environment and measure its properties over longer periods of time. They communicate via acoustic modems using a simple sequenced communication protocol. The classical average consensus protocol has been modified to suit these conditions. The performance of the algorithm is analyzed in a simulation testbed, where we examine its properties and show the convergence of the method. The protocol is then applied to the real system in an underwater experiment, where we demonstrate its convergence in realistic conditions.
本文提出了一种基于声学通信的水下多机器人系统共识协议。这种方法的动力来自于一个系统,在这个系统中,被称为mussels的机器人分散在环境中,并在较长一段时间内测量环境的特性。它们通过声学调制解调器使用简单的顺序通信协议进行通信。经典的平均共识协议已经被修改以适应这些条件。在仿真实验台上对算法的性能进行了分析,检验了算法的性能,并证明了算法的收敛性。然后将该协议应用于实际系统的水下实验,证明了它在现实条件下的收敛性。
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引用次数: 9
Deployment of a Persistent Underwater Acoustic Sensor Network: The CommsNet17 Experience 持久水声传感器网络的部署:CommsNet17经验
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8559262
R. Petroccia, J. Sliwka, A. Grati, V. Grandi, P. Guerrini, A. Munafò, Marin Stipanov, J. Alves, R. Been
This paper presents the experimental activities performed by the NATO STO Centre for Maritime Research and Experimentation (CMRE) during the CommsNet17 trial where a persistent Underwater Acoustic Sensor Network (UASN) was deployed. The CommsNet17 trial was held from the 27th of November to the 6th of December in the Gulf of La Spezia (IT), close to the CMRE premises, using the CMRE Littoral Ocean Observatory Network (LOON) as one of its key components. A network consisting of up to eleven nodes was deployed, including static and mobile assets. Various aspects related to persistent UASNs were addressed, including autonomous and distributed network discovery and node configuration, node localisation and navigation, self-adjustment of the network topology in support to the assigned tasks, underwater docking, wireless battery recharging and data offloading. The collected results show that the employed solutions were able to successfully complete all these tasks, thus demonstrating the effective deployment of a persistent, distributed and ad-hoc UASN.
本文介绍了北约海事研究和实验中心(CMRE)在CommsNet17试验期间进行的实验活动,其中部署了持久的水声传感器网络(UASN)。CommsNet17试验于11月27日至12月6日在靠近CMRE场地的拉斯佩齐亚湾(IT)举行,使用CMRE滨海海洋观测网(LOON)作为其关键组成部分之一。部署了一个由多达11个节点组成的网络,包括静态和移动资产。讨论了与持久uasn相关的各个方面,包括自主和分布式网络发现和节点配置、节点定位和导航、支持分配任务的网络拓扑的自我调整、水下对接、无线电池充电和数据卸载。收集的结果表明,所采用的解决方案能够成功完成所有这些任务,从而证明了持久、分布式和自组网usasn的有效部署。
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引用次数: 15
Research on Code Division Multiple Access Based on Chirp Multi-Carrier 基于啁啾多载波的码分多址研究
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8559246
Zhenyu Jia, Fei Yuan, Keyu Chen, En Cheng, Jianghui Li
Underwater acoustic (UWA) channels are characterized by narrow-band, time-varying, and strong multipath interference. At the same time, Doppler effect also has a significant impact in UWA communications due to low sound speed in water. Therefore, traditional wireless multiple access technology cannot be used directly underwater. However, by combining some existing technologies in underwater communications, the traditional multiple access method can be improved to enable underwater multiple access. In this paper, we introduced chirp signals as carriers, which is widely used in UWA communications. Combined with code division multiple access (CDMA) and orthogonal frequency division multiple access (OFDMA) techniques, a multi-carrier chirp signal based CDMA method is proposed, which improves the reliability and spectrum efficiency of underwater multiple access. The simulation results show that the proposed method has good Bit error rate (BER) performance. Further, the method is also able to achieve good BER performance under the influence of Doppler effect because chirp signals is capable of resisting Doppler effects.
水声(UWA)信道具有窄带、时变和强多径干扰的特点。同时,由于水中声速较低,多普勒效应对UWA通信也有较大的影响。因此,传统的无线多址技术无法在水下直接使用。但是,通过结合现有的一些水下通信技术,可以对传统的多址方式进行改进,实现水下多址。本文引入了在UWA通信中广泛应用的啁啾信号作为载波。结合码分多址(CDMA)和正交频分多址(OFDMA)技术,提出了一种基于多载波啁啾信号的CDMA方法,提高了水下多址的可靠性和频谱效率。仿真结果表明,该方法具有良好的误码率性能。此外,由于啁啾信号能够抵抗多普勒效应,该方法在多普勒效应的影响下也能够获得良好的误码率性能。
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引用次数: 4
Multiple Autonomous Vehicles Applied to Plume Detection and Tracking 应用于羽流检测和跟踪的多自动驾驶车辆
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8558802
José Pinto, R. Mendes, J. da Silva, J. Dias, J. D. de Sousa
This paper presents a novel approach for studying riverine plumes. It combines remote-sensing with autonomous in-situ observations performed by a set of unmanned vehicles (underwater and aerial). While an aerial drone is remotely piloted to detect the plume from air, multiple underwater vehicles autonomously detect the plume edge and map their structure by traversing it multiple times, autonomously. This approach has been used multiple times to acquire the 3D structure of the Douro river plume, in Porto.
本文提出了一种研究河流羽流的新方法。它将遥感与一组无人驾驶车辆(水下和空中)进行的自主原位观测相结合。在遥控无人机从空中探测羽流的同时,多个水下航行器自主探测羽流边缘,并通过多次自主穿越来绘制其结构。这种方法已被多次用于获取波尔图杜罗河羽流的三维结构。
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引用次数: 6
An Underwater Data Acquisition and Transmission Testbed Based on BeiDou Satellite System (BDS) and Underwater Acoustic Communication Technology 基于北斗卫星系统和水声通信技术的水下数据采集与传输试验台
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8559461
Yishan Su, Yongpeng Zuo, Yun Li, Zhigang Jin, Xiaomei Fu
During the past decade, the research of underwater acoustic sensors network have gained significant progress. With the deployment of UASNs, the acquisition and long-range transmission of underwater data becomes a challenge. Traditionally, the data from underwater sensors can be sent to terrestrial control center mainly by VHF (very high frequency) or satellite communication systems. However, a VHF communication system can only cover the area with a distance of 15-30km and a satellite communication system may cost a lot especially for a long-time-deployed sensor network. To effectively evaluate the performance of underwater networks and further transmit underwater data from open sea, in this paper, we develop an underwater data acquisition and transmission testbed based on BeiDou Satellite System (BDS) and underwater acoustic communication technology. With the help of the proposed testbed, we can conduct various tests including protocols evaluations and underwater application developments.
近十年来,水声传感器网络的研究取得了重大进展。随着水下无人潜艇的部署,水下数据的获取和远程传输成为一个挑战。传统上,水下传感器的数据主要通过甚高频(VHF)或卫星通信系统发送到地面控制中心。然而,甚高频通信系统只能覆盖距离为15-30公里的区域,卫星通信系统可能会花费很多,特别是对于长时间部署的传感器网络。为了有效地评估水下网络的性能,进一步从公海传输水下数据,本文开发了基于北斗卫星系统(BDS)和水声通信技术的水下数据采集与传输试验台。在该试验台的帮助下,我们可以进行各种测试,包括协议评估和水下应用开发。
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引用次数: 0
Biodiversity Characterisation of Fouling Communities and Their Hydrodynamic Consequences on Marine Renewable Energy Infrastructure in the UK 英国污染群落的生物多样性特征及其对海洋可再生能源基础设施的水动力影响
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8559237
A. Want, R. Harris, J. Porter
Generating electricity from marine energy is a globally important industry and forms a vital part of several nations' objectives to decarbonise energy production. In the UK, the resource-rich waters around Scotland have led to world-leading developments of facilities and supporting infrastructure used in deploying and testing wave and tidal energy technologies. A major concern to industries working in the marine environment is biofouling on submerged structures, including energy converters and measurement instrumentation. In this study, marine energy devices, infrastructure, and instrumentation were surveyed to characterise biofouling organisms. Fouling communities varied between deployment habitats; key organisms were identified allowing recommendations for scheduling device maintenance and preventing spread of invasive species. A method to measure biofouling impact on hydrodynamic response is described and applied to data from a wave-monitoring buoy deployed at a test site in Scotland. Results are discussed in relation to measurement accuracy of resources for power generation. Further applications are suggested for future testing in other scenarios including habitats use for extracting tidal energy.
利用海洋能源发电是一个全球重要产业,也是几个国家实现能源生产脱碳目标的重要组成部分。在英国,苏格兰周围资源丰富的水域引领了世界领先的设施和配套基础设施的发展,用于部署和测试波浪和潮汐能技术。在海洋环境中工作的工业主要关注的是水下结构的生物污染,包括能量转换器和测量仪器。在这项研究中,研究人员调查了海洋能源设备、基础设施和仪器,以表征生物污染生物。不同部署生境的结垢群落存在差异;确定了关键生物,为安排设备维护和防止入侵物种的传播提供了建议。描述了一种测量生物污垢对水动力响应影响的方法,并将其应用于部署在苏格兰试验场的波浪监测浮标的数据。讨论了与发电资源测量精度的关系。进一步的应用建议在其他场景下进行测试,包括用于提取潮汐能的栖息地。
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引用次数: 0
A Reduced-Complex Method Based on Toeplitz Reconstruction for Direction of Arrival Estimation in Multiple-Input Multiple-Output Sonar 一种基于Toeplitz重构的多输入多输出声纳到达方向估计简化方法
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8559047
Xue Cheng, Yingmin Wang
Direction of Arrival (DOA) for multiple-input multiple-output sonar is considered. A high dimensional matrix by matched filter can be obtained in the receive array, when we directly apply traditional algorithm to MIMO Sonar. This matrix loss the original incoherence, and produces higher computational complexity. In this paper, reduced-complex multiple signal classification (MUSIC) based on Toeplitz reconstruction (TRC-MUSIC) is proposed. This algorithm can reduce the dimension of operation effectively, avoid degrees of freedom (DOFs) and virtual array aperture loss by traditional decorrelation algorithm. We can obtain better location performance in the situation of low signal-to-noise ratio (SNR) and lower snapshots. Simulation results show the usefulness of the proposed algorithm. The TRC-MUSIC method can provide more accurate location and better stability, suppress noise effectively in low snapshots.
考虑了多输入多输出声纳的到达方向(DOA)。将传统算法直接应用于MIMO声纳,可以在接收阵列中得到一个匹配滤波的高维矩阵。该矩阵失去了原有的非相干性,计算复杂度较高。本文提出了一种基于Toeplitz重构的降复多信号分类(MUSIC)方法。该算法可以有效地降低操作维数,避免传统去相关算法带来的自由度和虚阵孔径损失。在低信噪比和低快照的情况下,可以获得较好的定位性能。仿真结果表明了该算法的有效性。TRC-MUSIC方法可以提供更准确的定位和更好的稳定性,有效地抑制低快照噪声。
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引用次数: 3
Improving Broadband Acoustic Doppler Current Profiler with Orthogonal Coprime Pulse Pairs and Robust Chinese Remainder Theorem 用正交互素脉冲对和鲁棒中国剩余定理改进宽带声学多普勒电流剖面仪
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8559092
C. Chi, H. Vishnu, K. T. Beng
Broadband acoustic Doppler current profilers (ADCPs) are instruments that are widely used in underwater observation. However, conventional broadband ADCPs face the problem of being limited in accuracy due to velocity ambiguity. This paper proposes a method based on using orthogonal coprime pulse pairs and the robust Chinese remainder theorem to mitigate this limitation. The proposed method breaks through the limit of velocity ambiguity of conventional broadband ADCP and improves the performance significantly. The simulations show that our proposed method can decrease the standard deviation of current velocity measurement by nearly three time, when compared to the conventional method.
宽带声学多普勒电流剖面仪(ADCPs)是一种广泛应用于水下观测的仪器。然而,传统的宽带ADCPs由于速度模糊而面临精度受限的问题。本文提出了一种基于正交协素脉冲对和鲁棒中国剩余定理的方法来克服这一限制。该方法突破了传统宽带ADCP的速度模糊限制,显著提高了性能。仿真结果表明,与传统方法相比,该方法可将流速测量的标准差降低近3倍。
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引用次数: 5
Development of Manipulation Purpose Small Agent Vehicle for UUVs uuv操纵用途小型代理车的研制
Pub Date : 2018-05-28 DOI: 10.1109/OCEANSKOBE.2018.8559094
Juhwan Kim, Seokyong Song, Minsung Sung, Son-cheol Yu
We conducted efficient underwater manipulation that can lift heavy weight or perform simple tasks. We developed manipulation purposed small agent vehicle with gripper, flops and sensors. With the winch system, the lifting force of weight is empowered. The agent has independent navigation and object detection abilities, then only winding up winch signal is needed. This system is useful for use in areas where large underwater robots are difficult to access. We called this system as agent vehicle manipulation system. Finally, we accomplished the stand alone experiment of manipulation system in a water tank. The agent autonomously found such object, and lifted up to surface. The system verified the results of manipulation that can successfully bring the object.
我们进行了有效的水下操作,可以举起重物或执行简单的任务。我们研制了一种带有抓手、脚蹬和传感器的小型机动机器人。借助绞车系统,增强了重物的提升力。该智能体具有独立的导航和目标检测能力,只需要卷绕绞车信号即可。该系统适用于大型水下机器人难以进入的区域。我们称这个系统为代理车辆操纵系统。最后,我们在水箱中完成了操纵系统的独立实验。代理自动找到了这样的物体,并将其提升到水面。该系统验证了操作结果,可以成功地带来对象。
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引用次数: 3
期刊
2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)
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