Gao, W.; Wan, L.; Qi, S., and Wang, D., 2019. The tracing of wastewater in enterprises based on hybrid neural network. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 1–9.

Over-standard discharge of enterprise sewage had severely weakened the processing wastewater ability of the wastewater and shortened the service life of the facility in the sewage treatment plant, more importantly, posed a serious threat to the water environment safety in the watershed. Based on the historical daily monitoring data of key monitoring enterprises and sewage treatment plant, temperature and precipitation data, the boosted regression tree (BRT) model was established. The feature variables (discharge flow, ammonia nitrogen (NH₃-N) daily emission and COD daily monitoring concentration) were obtained by BRT model. The total contribution of feature variables accounted for 80.92%. The BRT model prediction accuracy and kappa coefficient was 0.88 and 0.78, respectively. Then, three single hidden-layer feedforward neural network models were constructed to analyze the importance ranking of enterprises according to each feature variable. The results showed that heavy industry and pharmaceutical enterprises ranked ahead. Last, using generalized extreme studentized deviate test (ESD) algorithm, the anomaly detection analysis was conducted to obtain the proportion of abnormal data and distribution regularities on the suspicious enterprises. Our study may provide scientific evidence and auxiliary decision support in the identification of illegal emission enterprises.

Zhang, Y.; Zhang, C.; Li, C.; Yuan, C.; Pan, X., and Shi, L., 2019. The instability of deep-water sideband perturbation wave trains. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 10–14.

The deep-water sideband perturbation wave trains are unstable. The instability is important to study the deep-water wave trains propagation. The relation of the factors such as wave steepness and frequency are studied in the paper. A parameter on the wave steepness, the band width and the frequency are obtained by the instability analysis based on the BMNLS equation. The representativeness of parameters is analyzed by numerical simulation. During the deep-water sideband perturbation wave trains propagation, it is unstable when the parameter is greater than 1. The instability and nonlinearity effect are more obviously with the increase of the parameter. At the same time, the evolution of sideband perturbation wave trains instability under the influence of bandwidth factor and wave steepness respectively is studied by numerical simulation.

Lin, G.; Xiang, P.; Audira, G., and Hsiao, C., 2019. Low coverage whole genome sequencing yields the complete mitogenome of Hypselodoris bullocki and Hypselodoris apolegma (Mollusca: Chromodorididae). In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 23–28.

In this study, the complete mitogenome sequence of two sea slugs, Hypselodoris bullock and Hypselodoris apolegma (Mollusca: Chromodorididae), has been decoded for the first time by low coverage whole genome sequencing method. The assembled mitogenome, consisting of 14,666 and 14,749 bp, respectively, and has unique 13 protein coding genes (PCGs), 22 transfer RNAs and 2 ribosomal RNAs genes for both species. In Hypselodoris apolegma, one intron sized in 3664 bp is inserted into ND5 gene. The gene order of the mitogenome of Hypselodoris species is almost the same to the other nudibranch mitogenomes, while the position of tRNA-Ser and ND4 gene moved to between tRNA-Cys and tRNA-Gln. In addition, we found the nucleotide diversity is about four times higher in Hypselodoris when Chromodoris species are compared. The complete mitogenome of Hypselodoris bullock and Hypselodoris apolegma provides essential and important DNA molecular data for phylogenetic and evolutionary analysis for Chromodorididae.

Yi, T., 2019. Flexible control system for drill pipe conveying manipulator of offshore drilling platform. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 107–111.

In order to improve the efficiency of drilling and save the cost of drilling, it is necessary to design a control system for drilling pipe conveying manipulator of offshore drilling platform to instead of manual work. When using the current control system for drilling pipe conveying manipulator of offshore drilling platform, it cannot accurately locate the manipulator and adjust the rotation angle of the manipulator, thus there is a big control error. In view of the above problems, a new flexible control system for drilling pipe conveying manipulator of offshore drilling platform is designed, the coordinate system of the drill manipulator system is established, and the relationship between the position and posture of the manipulator's moving component and the terminal actuator space is analyzed. The PID positioning control method is used to locate the drill pipe manipulator and identify the storage state of the drill pipe, so that the flexible control for the drilling manipulator of the offshore drilling platform is completed. The experimental results show that the system can accurately locate the manipulator and adjust the rotation angle of the manipulator.

Chen, Y.; Le, Y.; Xie, Z.; Qiu, Z; Zhang, C.; Cao, B., and Fang, S., 2019. The image matching algorithm basing on homographic constraints for marine surveying, mapping and 3D reconstruction. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 184–190.

In the marine surveying and mapping, high-accuracy image matching is of crucial importance to improve the surveying and mapping accuracy. For the low texture area, coastal zone, island and reef, the accuracy of the mapping and 3D reconstruction would be impacted by the number of matching points and the matching accuracy, using the conventional matching algorithms basing on the imaging feature, such as scale-invariant feature transform (SIFT), speed-up robust features (SURF) and oriented brief (ORB) et al.. To overcome and reduce the problem, this paper proposes a new image matching algorithm, the homographic constraint SURF algorithm, which combines the homographic constraint condition and SURF algorithm in order to increase the number of the high-accuracy matching points and improve the accuracy of the mapping and 3D reconstruction for the marine surveying and mapping. Through experiments performance, HCSURF can extract the more number of the matching points and obtain the higher matching accuracy for island and reef images, comparing with the SIFT, SURF and ORB algorithms. In addition, the characteristics and application categories of the HCSURF are analyzed and discussed basing on the experimental results. Using the new proposed matching algorithm can improve and ensure the accuracy of the marine surveying, mapping and 3D reconstruction.

Ye, Y.; Chen, K., and Huo, Y., 2019. Long-term change of environment and it's influence on phytoplankton community structure in Daya Bay. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 191–197.

Based on the phytoplankton samples in Daya Bay from 2004 to 2016, the data of environmental factors were collected simultaneously to analyze the long-term changes of environmental factors and their effects on phytoplankton community structure. Our results showed that nutrient concentration in Daya Bay increases year by year, which was caused by the rapid economic development around Daya Bay and a large amount of industrial and agricultural wastewater and domestic sewage discharged into the water. As a result, the concentrations of nitrogen and phosphorus in Daya Bay were much higher than the growth threshold of phytoplankton. Therefore, the change of environmental factor has an important impact on the community structure of phytoplankton in Daya Bay. The dominant species had obvious succession in Daya Bay, and the species that preferred fertilizer increased significantly and became the dominant species.

Kong, F., 2019. Dynamic regulation method of maritime port transportation cost based on multiple regression. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 205–210.

In order to improve the control ability of the transportation cost of the sea port, a dynamic adjustment model of the transportation cost of the sea port based on the multiple regression analysis is proposed. the sea port transportation cost statistical analysis model is adopted to carry out the large-data information fusion processing of the transportation cost of the sea port, and the structure of the sea port transportation cost dynamic control model is constructed, in that dynamic control model of the transportation cost of the sea port, material cost information, transportation material information, material cost information and the like associated with the transportation cost of the sea port are merged, and the related information characteristic quantity of the transportation cost of the sea port is extracted, The multiple regression analysis of the transportation cost of the sea port is carried out by the principal component analysis method, and the self-adaptive optimization control of the transportation cost of the sea port is realized, and the regression analysis model with the highest transport efficiency and the lowest cost of the sea port is established to realize the dynamic regulation of the transportation cost of the sea port. The simulation results show that the model can be used to carry out the dynamic regulation of the transportation cost of the sea port, and the accuracy of the forecast of the transportation cost of the sea port is high.

Yu, X.; Li, W.; Wang, D.; Li, Y., and Liu, X., 2019. Method for controlling speed of port loading and unloading machinery based on real-time information. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 211–216.

The steady state distortion of port loading and unloading machinery is easy to appear in the process of frequency conversion speed regulation, so it is necessary to carry out the design of mechanical speed control. The automatic control technology of frequency conversion speed regulation of port loading and unloading machinery based on real time information adaptive regulation is put forward. The constraint parameter model of frequency conversion speed regulation of port loading and unloading machinery is constructed by taking the parameters such as rotating inertia moment, load strength, steady state power, gain and equivalent load of the manipulator as the constraint indexes. The control objective function is constructed, Smith controller is used to adjust the frequency conversion speed of port loading and unloading machinery, combined with real-time information feedback adjustment compensation method to suppress the speed regulation error of port loading and unloading machinery, the output time delay compensation model of port loading and unloading machinery is established, and the automatic control optimization of frequency conversion speed regulation of port loading and unloading machinery is realized. The simulation results show that the steady-state output ability of frequency conversion speed regulation automatic control of port loading and unloading machinery is strong, and the load intensity and efficiency of port loading and unloading machinery are improved.

Liu, X.; Yang, W., and Chen, Y., 2019. Resource allocation method of coastal wireless communication network based on machine learning. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 223–228.

In coastal wireless communication network communication, it is necessary to optimize the allocation design of coastal wireless communication network resources to improve the utilization of resources and the throughput performance of communication channels. In this paper, a resource allocation algorithm of coastal wireless communication network based on machine learning is proposed. The communication channel model of coastal wireless communication network is constructed and the overall design of resource allocation is carried out. The resource bandwidth adjustment factor of coastal wireless communication network communication system is defined, and a resource scheduling model of coastal wireless communication network is constructed by using the method of fractional time-frequency transformation. The spectrum correlation characteristics in coastal wireless communication network communication system are obtained. based on machine learning algorithm, the cross action between different signal components from multi-component signals in coastal wireless communication network resources is carried out, and the channel equilibrium configuration of coastal wireless communication network is carried out to improve the resource allocation performance in coastal wireless communication network communication system. The simulation results show that the algorithm can effectively improve the resource allocation efficiency of coastal wireless communication network, improve the network equilibrium performance and resource utilization obviously, and the coastal wireless communication network resource allocation balance is good, save the communication overhead of the network system, and thus improve the communication performance of coastal wireless communication network.

Han, Y. and Li, Q., 2019. Detection method of Hg²⁺ impurity content in marine pollution based on intelligent image processing. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 229–235.

In order to improve the detection ability of Hg²⁺ impurity content in marine pollution, it is necessary to estimate the fractal dimension of Hg²⁺ impurity distribution image in marine pollution. A detection method of Hg²⁺ impurity content in marine pollution based on intelligent image processing is proposed. The super-resolution fusion method is used to extract the significant area features of the collected Hg²⁺ impurity distribution image, and the fractal edge profile extraction model of Hg²⁺ impurity distribution image in marine pollution is constructed. The edge profile feature detection method is used for texture segmentation of Hg²⁺ impurity distribution image in marine pollution. Combined with weighted variance estimation method, the texture feature recognition of information fusion of Hg²⁺ impurity distribution image in marine pollution is carried out. The fractal dimension statistical analysis model of Hg²⁺ impurity distribution image in marine pollution is established, and the association regular pixel points of Hg²⁺ impurity distribution image in marine pollution are extracted. According to the color characteristic components of Hg²⁺ impurity distribution image in marine pollution, the multi-level content detection is carried out. The simulation results show that the method has high accuracy and adaptability in the detection of Hg²⁺ impurity content in marine pollution, and improves the identification and detection ability of Hg²⁺ impurity content in marine pollution.

Chi, X. and Liu, X., 2019. Design of ship intelligent collision prevention system based on computer vision. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 242–247.

In order to improve the intelligent anti-collision ability of the ship, the design method of the intelligent anti-collision system of the ship based on the computer vision is proposed. A visual image reconstruction method is adopted to sample the intelligent anti-collision visual information of the ship, the edge blocking feature quantity of the intelligent anti-collision visual information of the ship is extracted, the segmentation and fusion characteristic matching processing is carried out according to the texture and the detail area of the intelligent anti-collision visual information of the ship, by using the sparse representation method to carry out the edge sharpening of the region characteristic of the ship intelligent anti-collision visual information, a multi-visual characteristic expression model of the ship intelligent anti-collision visual information is constructed, a collision avoidance system model of the ship intelligent anti-collision visual information is constructed by adopting a color space characteristic decomposition method, Based on the color space fusion technology, the intelligent anti-collision design of the ship's intelligent anti-collision visual information is carried out, and the intelligent anti-collision design of the ship is realized under the computer vision model. The simulation results show that the intelligent anti-collision design of the ship is of good stability, the design of the intelligent anti-collision visual information of the ship is strong, the design of the intelligent anti-collision system of the ship is high.

Liao, L., 2019. Design of optimal model for drainage capacity of marine peripheral building drainage system. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 248–253.

In order to improve the drainage ability of the water drainage system of the perimeter of the sea, an optimization model of the drainage capacity of the water drainage system of the marine surroundings based on the dynamic monitoring of the drainage capacity and the evaluation of the hysteretic behavior of the finite element is proposed. The dynamic load monitoring model of the marine peripheral building drainage system is constructed, a large amount of the strain mechanical monitoring data of the marine peripheral building drainage system is accumulated, the strain sensing mechanical characteristic reconstruction of the marine peripheral building drainage system is carried out based on the structural finite element model analysis method, and the statistic characteristic quantity of the drainage capacity optimization of the drainage structure is extracted. in that method, a column-hole expansion stress balance analysis method is adopted to analyze the distribution law of the strain field distribution in the water drainage of the marine peripheral building, the tensile strength of each unit of the drainage pipeline is obtained by adopting a column-hole expansion stress balance analysis method, and the concentrated force and the distributed force model of the water drainage system of the marine peripheral building are obtained, and the design of the drainage capacity optimization model of the water drainage system of the marine peripheral building drainage system is realized. The simulation results show that the method can effectively improve the drainage capacity of the water drainage system of the perimeter of the ocean, optimize the design and deployment of the drainage node, and improve the drainage capacity of the building on the periphery of the ocean.

Zhuang, L., 2019. Design of vibration signal data acquisition system for ship mechanical and electrical equipment. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 254–260.

The acquisition and transmission of vibration signal data of ship electromechanical equipment is affected by the multi-path interference factors, which leads to the limited bandwidth of data acquisition and the poor continuous readout performance of data. In order to improve the stability of ship electromechanical equipment operating conditions, a design method of ship electromechanical equipment vibration signal data acquisition system based on wireless sensor network is proposed. The sensor distributed array design of remote data monitoring for ship electromechanical equipment is carried out by using wireless sensor network information acquisition technology, and the vibration signal data of ship electromechanical equipment collected by sensors are quantitatively integrated and processed. The vibration signal data acquisition of ship electromechanical equipment is carried out by using vibration sensor, the interface of vibration signal data acquisition channel of ship electromechanical equipment is designed with PCI global bus control technology, the human-computer interactive control of data acquisition is carried out by using SCSI bus controller, and the hardware integration design of vibration signal data acquisition system of ship electromechanical equipment is carried out. The test results show that the system can collect multi-channel monitoring data in real time and accurately, the fidelity of data output is high, the balance of acquisition and output channel is good, and the accurate detection and analysis ability of vibration signal data of ship electromechanical equipment is improved.

Zhang, J., 2019. Application analysis of electronic wheel mechanical crane in shore container dispatching. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 261–266.

In order to improve the intelligent control ability of electronic wheeled mechanical crane in quayside container dispatching, a calculation method of quayside container dispatching control of electronic wheeled mechanical crane based on fuzzy PID is proposed. The identification model of quayside container dispatching control of electronic wheeled mechanical crane is constructed, and the dynamic model of electronic wheeled mechanical crane is constructed. According to the damping moment pose correction method, the mechanical structure parameters of electronic wheeled mechanical crane are merged, and the quayside container dispatching parameters and error adjustment are carried out according to the structural distribution mechanical correlation of electronic wheeled mechanical crane. Fuzzy PID control method is used to control the dispatching of electronic wheeled mechanical cranes on shore containers. Kalman filter method is used to optimize the identification model of quayside container scheduling parameters of electronic wheeled mechanical cranes, and the robustness control and onshore container scheduling control calculation of electronic wheeled mechanical cranes are realized. The simulation results show that the method has high accuracy in calculating the structural parameters of electronic wheeled mechanical cranes, and the sensitivity of container dispatching control on shore is better.

Sun, H.; Li, Y., and Paik, J., 2019. Application of VR technology in the optimization modeling of port wave-proof building. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 267–272.

The design method of port anti-wave building optimization model based on VR technology is proposed, which can be divided into three-dimensional port anti-wave building body-sensing interaction information reconstruction and digital interaction information processing. The system mainly comprises a port anti-wave building information acquisition module, a port wave-proof building geographic information base model and a 3D image analysis module, The VR virtual reality reconstruction module, the VR program loading module, the human-computer interaction module and the like are constructed by adopting the 3-dimensional solid model of the port anti-wave building optimization model by using the 3DStudio MAX software, According to the self-adaptive virtual simulation design method, the intelligent design and three-dimensional simulation of the port anti-wave building body-sensing interaction are carried out, and the software development design of the port anti-wave building optimization model of the VR virtual simulation is realized under the embedded ARM environment. The simulation results show that the designed system has good port anti-wave building body-sensing interaction capability, and has good application value in the design of the harbor wave-proof building.

Xu, G.; Li, H., and Wang, S., 2019. Numerical study on the vertical-axis tidal current turbine with coupled motions (Part I). In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 273–288.

With the floating platforms, the vertical-axis tidal current turbine has a multi-degree of freedom motion in the sea. The hydrodynamic performance of the rotated turbine with two (i.e. surge and sway) degrees of freedom in unbounded uniform flow is studied with the dynamic mesh in this work and the turbine for another surge and yaw motion has been published on Ocean Engineering. The effects of the hydrodynamic loads have been studied and illustrated considering the 3-DOF coupled motion (Rotation of turbine, surge and sway motion). Numerical results show that the surge motion mainly causes the effects of the hydrodynamic loads, but the effects of the sway motion will be come out when its frequency is greater than that of the surge. There are fluctuations in the envelope curves of the hydrodynamic loads of the turbine, and the fluctuation amplitudes have a positive relation with the surge and sway motion frequencies. Then the mathematical model of the turbine with 3-DOF coupled motion is established. The results of the hydrodynamic loads calculated by the above model and the numerical simulation executed by CFD (Computational Fluid Dynamics) show good agreements, which verifies the mathematical model. The results of this study can provide reference for the hydrodynamic analysis of turbines with multi-degree of freedom motion.