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Journal of Marine Science and Engineering, Volume 10, Issue 6

June 2022 - 128 articles

Cover Story: The automatic classification of fish images captured under water is a challenging task with a broad potential impact for environmental conservation. Convolutional neural network models employed for image recognition typically require very large datasets to train millions of model parameters. However, underwater fish image and video datasets are scarce and unbalanced, so neural models may be inadequately trained. We engineer convolutional neural networks with up to ~50,000 parameters, which require much smaller datasets for training and run in much more constrained embedded platforms. By augmenting neural models with a tracking algorithm that recognizes fish specimens across video frames, we obtain a classifier of very limited overall complexity. Experiments in the Mediterranean Sea confirm a good level of accuracy for fish recognition in the wild. View this paper
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Articles (128)

  • Article
  • Open Access
16 Citations
5,803 Views
20 Pages

This work studies the Voce–Chaboche (V–C) material model parameter optimization for high-strength steel welded joints subjected to cyclic loading. The model parameters of each material zone in a S690 steel butt-welded joint were determine...

  • Article
  • Open Access
5 Citations
2,723 Views
20 Pages

Near-Optimal Control for Offshore Structures with Nonlinear Energy Sink Mechanisms

  • Wei Chen,
  • Xingyu Du,
  • Bao-Lin Zhang,
  • Zhihui Cai and
  • Zhongqiang Zheng

To improve the safety and reliability of offshore structures subject to wave loading, the active vibration control problem is always one of significant issues in the field of ocean engineering. This paper deals with the near–optimal control pro...

  • Article
  • Open Access
19 Citations
4,002 Views
24 Pages

Environmental Assessment of Potentially Toxic Elements Using Pollution Indices and Data-Driven Modeling in Surface Sediment of the Littoral Shelf of the Mediterranean Sea Coast and Gamasa Estuary, Egypt

  • Magda M. Abou El-Safa,
  • Salah Elsayed,
  • Osama Elsherbiny,
  • Adel H. Elmetwalli,
  • Mohamed Gad,
  • Farahat S. Moghanm,
  • Ebrahem M. Eid,
  • Mostafa A. Taher,
  • Mohamed H. E. El-Morsy and
  • Hanan E. M. Osman
  • + 1 author

Coastal environmental assessment techniques have evolved into one of the most important fields for the long-term development and management of coastal zones. So, the overall aim of the present investigation was to provide effective approaches for mak...

  • Article
  • Open Access
34 Citations
3,735 Views
24 Pages

Due to the complex hydrology and narrow channels of inland rivers, ship collision accidents occur frequently. The traditional collision-avoidance algorithms are often aimed at sea areas, and not often at inland rivers. To solve the problem of inland-...

  • Article
  • Open Access
9 Citations
3,087 Views
26 Pages

A Quantitative Parametric Study on Output Time Delays for Autonomous Underwater Cleaning Operations

  • Fredrik Fogh Sørensen,
  • Malte von Benzon,
  • Jesper Liniger and
  • Simon Pedersen

Offshore pipelines and structures require regular marine growth removal and inspection to ensure structural integrity. These operations are typically carried out by Remotely Operated Vehicles (ROVs) and demand reliable and accurate feedback signals f...

  • Article
  • Open Access
6 Citations
4,522 Views
14 Pages

Bow shape has been recognized as an important factor influencing the seakeeping performance and added resistance of ships. This paper presents a numerical comparative study on added resistance and seakeeping of model ships with ‘X-bow’ an...

  • Article
  • Open Access
13 Citations
4,927 Views
25 Pages

A Prototype Design and Sea Trials of an 11,000 m Autonomous and Remotely-Operated Vehicle Dream Chaser

  • Zhe Jiang,
  • Bin Lu,
  • Biao Wang,
  • Weicheng Cui,
  • Jinfei Zhang,
  • Ruilong Luo,
  • Gaosheng Luo,
  • Shun Zhang and
  • Zhongjun Mao

To better study the biology and ecology of hadal trenches for marine scientists, the Hadal Science and Technology Research Center (HAST) of Shanghai Ocean University proposed to construct a movable laboratory that includes a mothership, several full-...

  • Article
  • Open Access
7 Citations
3,233 Views
26 Pages

Spectral Analysis of Flow around Single and Two Crossing Circular Cylinders Arranged at 60 and 90 Degrees

  • Tianyuan Wang,
  • Qingqing Yang,
  • Yeting Tang,
  • Hongda Shi,
  • Qin Zhang,
  • Mengfei Wang,
  • Andrey Epikhin and
  • Andrey Britov

Two modal decomposition techniques, including proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD), were used to identify the wake patterns past single and two crossing cylinders in 60° and 90° arrangements with gap rati...

  • Article
  • Open Access
2 Citations
2,465 Views
35 Pages

A Wave-Targeted Essentially Non-Oscillatory 3D Shock-Capturing Scheme for Breaking Wave Simulation

  • Giovanni Cannata,
  • Federica Palleschi,
  • Benedetta Iele and
  • Francesco Gallerano

A new three-dimensional high-order shock-capturing model for the numerical simulation of breaking waves is proposed. The proposed model is based on an integral contravariant form of the Navier–Stokes equations in a time-dependent generalized cu...

  • Article
  • Open Access
1 Citations
2,564 Views
21 Pages

Multi-Sensor-Based Hierarchical Detection and Tracking Method for Inland Waterway Ship Chimneys

  • Fumin Wu,
  • Qianqian Chen,
  • Yuanqiao Wen,
  • Changshi Xiao and
  • Feier Zeng

In the field of automatic detection of ship exhaust behavior, a deep learning-based multi-sensor hierarchical detection method for tracking inland river ship chimneys is proposed to locate the ship exhaust behavior detection area quickly and accurate...

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J. Mar. Sci. Eng. - ISSN 2077-1312