https://i-jmst.vimaru.edu.vn/index.php/i-jmst/issue/feed 2026-09-30T00:00:00+07:00 Open Journal Systems https://i-jmst.vimaru.edu.vn/index.php/i-jmst/article/view/57 2026-07-14T02:01:23+07:00 Dr. Tran Xuan The thetx.vck@vimaru.edu.vn Thomas Do thomas.do@uwa.edu.au Hoang Quoc Dong donghqvck@vimaru.edu.vn

The maritime industry is undergoing a profound digital transformation, with smart ports emerging as critical nodes in global supply chains. This comprehensive literature review synthesizes current research on key enabling technologies for smart ports, including Digital Twins, Blockchain, Artificial Intelligence, Internet of Things (IoT), Computer Vision, Unmanned Aerial Vehicles (UAVs), automation systems, and cybersecurity frameworks. This review identifies major technological trends, applications, benefits, challenges, and future research directions. The findings reveal that smart port technologies cluster around five core pillars: (1) Digital Twin, (2) Blockchain and Distributed Ledger, (3) Artificial Intelligence and Data Analytics, (4) IoT, 5G, and Connectivity Infrastructure, (5) Computer Vision, UAVs, and Sensing for Smart Ports, and (6) Automation, Robotics, and Autonomous Systems. Cross-cutting themes emphasize the need for interoperability standards, human-centric research, and empirical deployment evaluations. Research gaps include limited empirical studies of real-world implementations, insufficient attention to workforce impacts, and lack of standardized frameworks for technology integration. This review provides a comprehensive foundation for researchers, practitioners, and policymakers working toward the realization of fully autonomous, sustainable, and efficient smart ports

2026-09-30T00:00:00+07:00 Copyright (c) 2026 International Journal of Marine Science and Technology https://i-jmst.vimaru.edu.vn/index.php/i-jmst/article/view/56 2026-08-13T02:45:13+07:00 Nguyen Duc Hai Duong duong106976@st.vimaru.edu.vn Do Trung Kien kien108459@st.vimaru.edu.vn Bui Hai Dang dang107133@st.vimaru.edu.vn Pham Quang Ninh ninh109695@st.vimaru.edu.vn Nguyen Van Hung hung.ddt@vimaru.edu.vn

Maritime search and rescue requires target detection and tracking systems that are highly accurate and capable of achieving the shortest possible response time. Therefore, pan–tilt–zoom (PTZ) camera systems must satisfy these requirements. This study proposes an intelligent pan–tilt camera system for maritime search and rescue under conditions of fluctuating water surfaces, changing illumination, and targets that are easily obscured by waves. Previous methods mainly relied on PTZ tracking, You Only Look Once version 8 (YOLOv8) combined with tracking algorithms, and several image enhancement techniques; however, they remained limited in terms of real–time stability and adaptability to nonlinear noise in the marine environment. In this paper, YOLOv8 is integrated for human detection, while the ByteTrack algorithm is used to maintain object identity and estimate the image–centering error. An optimized Adaptive Neuro–Fuzzy Inference System (ANFIS) controller is designed for the two pan–tilt axes based on red–green–blue (RGB) and thermal imaging. Experimental results in four scenarios demonstrate that the target tracking system is stable, with the error gradually decreasing to acceptable limits. The YOLOv8 model achieved a precision above 0.8, a recall of approximately 0.7–0.75, and a mean Average Precision at an Intersection over Union threshold of 0.50 (mAP@50) of approximately 0.7. In real–world testing, the pan error was reduced from –674 pixels to 5 pixels.

2026-09-30T00:00:00+07:00 Copyright (c) 2026 International Journal of Marine Science and Technology https://i-jmst.vimaru.edu.vn/index.php/i-jmst/article/view/63 2026-08-27T00:28:08+07:00 Le Tuan Son sonlt.hh@vimaru.edu.vn Nguyen Dinh Hai nguyendinhhai@vimaru.edu.vn Pham Trung Duc phamtrungduc@vimaru.edu.vn

Deep bow immersion (bow–diving) during operation in severe cross seas poses significant survivability risks to surface vessels due to asymmetric waterplane variations that generate hazardous transverse hydrodynamic forces and heeling moments. This paper investigates the hydrodynamic performance of a novel axially symmetric bow design comprising a cylindrical main hull and a coaxial cylindrical bulbous bow. Numerical simulations combining Smoothed Particle Hydrodynamics for severe wave impact and RANS–VOF (ANSYS Fluent) for calm–water towing resistance were conducted. Grid convergence was established using the Grid Convergence Index , and the SPH formulation was independently validated against experimental benchmark data for dynamic water entry. Results under prescribed forced–immersion conditions demonstrate that the axially symmetric bow effectively suppresses asymmetric pressure distributions, reducing the maximum transverse force coefficient to (a 5.5 – fold reduction compared to conventional V–shaped bows under head seas). Parametric analysis reveals a strong passive restoring moment ( increasing the bulb length from to enhances by over 400% (from 0.20 to 0.85 at ), whereas doubling the bulb diameter from 0.25D to 0.5D yields a moderate 30% increase. While calm–water resistance increases by 21% at high speeds (22 knots) the resistance penalty is negligible) at operating speeds below 13 knots. These findings confirm a favorable localized geometry–driven self–stabilizing tendency, providing physical insights for the design of specialized offshore and arctic service vessels.

2026-09-30T00:00:00+07:00 Copyright (c) 2026 International Journal of Marine Science and Technology https://i-jmst.vimaru.edu.vn/index.php/i-jmst/article/view/65 2026-06-16T08:46:41+07:00 Master Nguyen Minh Tan nguyenminhtan.ktqs@gmail.com Vuong Duc Phuc phucvd.ddt@vimaru.edu.vn Nguyen Quang Trung nguyenquangtrung27041976@gmail.com

This paper presents a reduced–order mathematical model and an energy–optimal neuro–fuzzy control method for a cylindrical autonomous underwater vehicle (AUV). The standard six DOFs formulation is simplified to translational motions under the assumption that rotational motions are stabilized near a nominal operating point. To address the concern that a diagonal reduction may become three independent single DOF systems, cross–axis coupling terms are retained in the reduced inertia and damping matrices. The vehicle is represented with four thrusters acting on three translational degrees of freedom; therefore, the control–effectiveness matrix is rectangular and the actuator–force vector is not unique for a given virtual control force. The proposed controller combines adaptive neuro–fuzzy uncertainty compensation with a quadratic actuator–allocation layer that penalizes force mismatch, propulsion effort and command variation. Illustrative MATLAB/Simulink–style simulations compare the method with PID, fuzzy–PID and sliding mode control using tracking error, energy index and actuator–saturation metrics

2026-09-30T00:00:00+07:00 Copyright (c) 2026 International Journal of Marine Science and Technology https://i-jmst.vimaru.edu.vn/index.php/i-jmst/article/view/61 2026-07-27T02:06:12+07:00 Vu Thai Son sonvt@vimaru.edu.vn Nguyen Binh Nguyen nguyen.nb181910@sis.hust.edu.vn Chu Hoang Quan chu.h-quan.fas@lqdtu.edu.vn Associate Professor Dinh Cong Truong truong.dinhcong@hust.edu.vn

Electric ducted propulsion fans (EDPFs) have become a key propulsion technology for next–generation electric aircraft, urban air mobility (UAM) vehicles, and unmanned aerial systems, offering high propulsive efficiency, a compact configuration, and reduced noise emissions. This study presents both numerical and experimental performance evaluations of an EDPF with a rotational speed range from 2,000 to 7,000 rpm. The aerodynamic thrust and torque performance of an EDPF were evaluated using 3D Reynolds–Averaged Navier–Stokes (RANS) simulations with the SST k–ω turbulence model and subsequently validated against experiment. The results showed that the maximum difference between the numerical and experimental thrust at 6,000 rpm was very small with only 0.86%. The peak efficiency of the EDPF reaches 93% at 7,000 rpm. These numerical and experimental results confirm the accuracy of the computational model with RANS and demonstrate its applicability in the performance analysis and optimization of EDPF. With this design, it could be used as a propulsion system for unmanned surface vehicles (USVs) if the rotating drive mechanism is driven by a drive shaft or the electric motor can operate in a water environment.

2026-09-30T00:00:00+07:00 Copyright (c) 2026 International Journal of Marine Science and Technology https://i-jmst.vimaru.edu.vn/index.php/i-jmst/article/view/34 2025-12-31T09:34:01+07:00 MSc Nguyen Ngoc Hiep hiepnn@dainam.edu.vn PhD June Raymond Leonen Mariano juneraymond_mariano@tup.edu.ph MSc Hoang Minh Tuan tuanhm@dainam.edu.vn

The market for courier and delivery services is changing favorably as a result of the most recent and continuous technical developments in logistics. Thanks to real–time monitoring technology, which provides transparency and peace of mind, customers can now effortlessly keep a watch on their deliveries at every stage. This study aims to assess the efficiency of nine significant delivery and courier services. The EBM model was applied to assess efficiency from 2021 to 2024.According to the empirical data, Meituan's LO–05, Aramex PJSC's LO–08, and C.H. Robinson Worldwide's LO–09 all achieve high efficiency and maintain a steady efficiency score over the course of the term. Showing the rising and decreasing trends in each period for LO–03 (JD Logistics), LO–04 (SF Express), and LO–07 (PostNL N.V). Customers will be assisted in choosing the best organizations by the rising and falling variance index of the 09 courier & delivery service providers.

2026-09-30T00:00:00+07:00 Copyright (c) 2026 International Journal of Marine Science and Technology https://i-jmst.vimaru.edu.vn/index.php/i-jmst/article/view/25 2026-04-09T13:19:35+07:00 Nguyen Dinh Thuy Huong huongndt.hh@vimaru.edu.vn Do Thi KhanhNgoc ngocdtk@vimaru.edu.vn Nguyen Thanh Le nguyenthanhle@vimaru.edu.vn Hoang Thi Ngoc Quynh quynh.hoang@vuw.ac.nz

The maritime industry must face to a big challenge focused on the compulsory green energy in 2050. In case of Vietnam, the government has promulgated the national master plan, national strategy climate change and action plan on green energy transition in the transport sector, vision toward 2050, according strictly to Vietnam ‘s commitment to cut the carbon dioxide emissions to 0% under the engagement at the 26th United Nations climate change conference. At the period of warm–up, the non greenhouse gas (GHG) fuel has still been accepted. Nevertheless, under the pressure of the International Maritime Organization (IMO) and Vietnam Register regulation, especially the energy efficiency existing ship index (EEXI) and carbon intensity indicator (CII), different solutions have been taken to cut temporarily the GHG emissions by many shipping companies in Vietnam such as buying new vessels; using offshore electricity, decrease significantly the speed and cut down the number of operating machine. This articles aims to analyse advantages and weaknesses of these measures in a perspective of alternative energy at warm–up phase for green marine energy.

2026-06-30T00:00:00+07:00 Copyright (c) 2026 International Journal of Marine Science and Technology