Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

Submission Deadline ( Vol 49 , Issue 04 )

11 Jan 2023
Day
Hour
Min
Sec

Publish On ( Vol 64 , Issue 02 )

08 Dec 2023
Scopus Indexed (2024) scope

Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University (ISSN:1006-7736) is a monthly peer-reviewed scopus indexed journal originally from 2007 to Present. The publisher of the journal is Editorial Office of Journal of Dalian Maritime University.The journal welcomes all kind of research/review/abstract papers regarding Engineering subjects.

AIM AND SCOPE

Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

1. Agricultural Science/Agricultural Engineering

2. Electrical Engineering and Telecommunication Section
Electrical Engineering, Telecommunication Engineering, Electro-mechanical System Engineering, Biological Biosystem Engineering, Integrated Engineering, Electronic Engineering, Hardware-software co-design and interfacing, Semiconductor chip, Peripheral equipments, Nanotechnology, Advanced control theories and applications, Machine design and optimization , Turbines micro-turbines, FACTS devices , Insulation systems , Power quality , High voltage engineering, Electrical actuators , Energy optimization , Electric drives , Electrical machines, HVDC transmission, Power electronics.
3. Computer Science Section
Software Engineering, Data Security , Computer Vision , Image Processing, Cryptography, Computer Networking, Database system and Management, Data mining, Big Data, Robotics , Parallel and distributed processing , Artificial Intelligence , Natural language processing , Neural Networking, Distributed Systems , Fuzzy logic, Advance programming, Machine learning, Internet & the Web, Information Technology , Computer architecture, Virtual vision and virtual simulations, Operating systems, Cryptosystems and data compression, Security and privacy, Algorithms, Sensors and ad-hoc networks, Graph theory, Pattern/image recognition, Neural networks.
4. Civil and Architectural Engineering Section
Architectural Drawing, Architectural Style, Architectural Theory, Biomechanics, Building Materials, Coastal Engineering, Construction Engineering, Control Engineering, Earthquake Engineering, Environmental Engineering, Geotechnical Engineering, Materials Engineering, Municipal Or Urban Engineering, Organic Architecture, Sociology of Architecture, Structural Engineering, Surveying, Transportation Engineering.
5. Mechanical and Materials Engineering Section
kinematics and dynamics of rigid bodies, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, mechanics of continuum, strength of materials, fatigue of materials, hydromechanics, aerodynamics, thermodynamics, heat transfer, thermo fluids, nanofluids, energy systems, renewable and alternative energy, engine, fuels, nanomaterial, material synthesis and characterization, principles of the micro-macro transition, elastic behavior, plastic behavior, high-temperature creep, fatigue, fracture, metals, polymers, ceramics, intermetallics.
6. Chemical Engineering Section
Chemical engineering fundamentals, Physical, Theoretical and Computational Chemistry, Chemical engineering educational challenges and development, Chemical reaction engineering, Chemical engineering equipment design and process design, Thermodynamics, Catalysis & reaction engineering, Particulate systems, Rheology, Multifase flows, Interfacial & colloidal phenomena, Transport phenomena in porous/granular media, Membranes and membrane science, Crystallization, distillation, absorption and extraction, Ionic liquids/electrolyte solutions.
7. Food Engineering Section
Food science, Food engineering, Food microbiology, Food packaging, Food preservation, Food technology, Aseptic processing, Food fortification, Food rheology, Dietary supplement, Food safety, Food chemistry.
8. Physics Section
Astrophysics, Atomic and molecular physics, Biophysics, Chemical physics, Civil engineering, Cluster physics, Computational physics, Condensed matter, Cosmology, Device physics, Fluid dynamics, Geophysics, High energy particle physics, Laser, Mechanical engineering, Medical physics, Nanotechnology, Nonlinear science, Nuclear physics, Optics, Photonics, Plasma and fluid physics, Quantum physics, Robotics, Soft matter and polymers.
9. Mathematics Section
Actuarial science, Algebra, Algebraic geometry, Analysis and advanced calculus, Approximation theory, Boundry layer theory, Calculus of variations, Combinatorics, Complex analysis, Continuum mechanics, Cryptography, Demography, Differential equations, Differential geometry, Dynamical systems, Econometrics, Fluid mechanics, Functional analysis, Game theory, General topology, Geometry, Graph theory, Group theory, Industrial mathematics, Information theory, Integral transforms and integral equations, Lie algebras, Logic, Magnetohydrodynamics, Mathematical analysis.
ALL PUBLISH JOURNAL HERE

Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

JDMU-11-01-2024-40155
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Causal analysis of water traffic accidents based on complex network theory

In order to understand the relationship between the influencing factors of water traffic accidents and prevent the occurrence of water traffic accidents. Based on the collected water traffic accident investigation reports, four main influencing factors were classified: human factors, management factors, ship factors, environmental factors, and 78 sub-influencing factors. Secondly, on the basis of co-occurrence analysis, the adjacency matrix is constructed and the Jaccard index is calculated to establish the network model of water traffic accidents. The key factors affecting water traffic sa

JDMU-10-01-2024-40154
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Ship traffic status in South China Sea waters based on satellite AIS data

The loading of Automatic Identification System equipment on low-orbiting satellites can adapt to the demand of exchanging data and information with greater “capacity” brought by the AIS data information of ships in deep waters that cannot be covered by land-based stations. The information in the satellite AIS data contains a large number of potential features of ship activities, and by selecting the ship satellite AIS data of typical months in the South China Sea in 2020. Data Mining, Geographic Information System and traffic flow theory are used to visualize and analyze the shi

JDMU-10-01-2024-40153
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Quota design and no-show countermeasures for port truck reservation system

Aiming at the design issues of reservation quota methods and no-show vehicle reservice strategies in truck reservation systems, the decision-making method combining data-driven and mathematical modeling was proposed. This method revealed the causal relationship between the arrival distribution of external trucks and their total turnover time in the port by analyzing historical data at the port gate, and established an optimization model aimed at minimizing the total turnover time in the external truck port. On this basis, the optimized truck reservation quota scheme was utilized to evaluate

JDMU-10-01-2024-40152
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Location-allocation optimization of emergency material distribution center considering demand and time uncertainty in the initial stage of post-disaster

Aiming at the uncertainty of the demand for emergency materials at the disaster-stricken areas in the initial stage of post-disaster, and considering the uncertainty of transportation time caused by the interruption of the passage, a multi-objective optimization model of emergency material distribution center location-allocation, in the state that emergency materials are in short supply, was established with the minimum total cost of emergency material distribution and the maximum comprehensive satisfaction of the disaster-stricken areas as the goals. Among them, comprehensive satisfaction

JDMU-10-01-2024-40151
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Short-term ship traffic flow prediction based on EEMD-PE-LSTM and visualization of channel traffic state

A novel short-time ship traffic flow prediction model was proposed to meet the needs of accurate and rapid prediction of short-time ship traffic flow. The proposed model optimizes Long Short Term Memory (LSTM) neural network based on Ensemble Empirical Mode Decomposition (EEMD) and Permutation Entropy (PE). The prediction process was divided into three stages. Firstly, EEMD was used to reduce the non-stationarity effect of short-term ship traffic flow. Secondly, PE was used to reconstruct the phase space of the time series components decomposed by EEMD to greatly shorten the operation time

JDMU-10-01-2024-40150
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Real-time prediction and analysis of jacket platform dynamic response based on one-dimensional convolution and GRU network

In order to effectively achieve a real-time prediction of jacket platforms dynamic response under wave load, the dynamic response prediction method combining one-dimensional convolutional neural network and gated recurrent composite neural network(1DCNN+GRU) was proposed. Based on the SACS program platform, the numerical calculation model of single deck four-legged jacket was established. The dynamic dynamic response state of the jecket under wave action was analyzed by using a nonlinear numerical model to obtain the structural dynamic response time course sample data, and then input into a

JDMU-10-01-2024-40149
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Optimization design and verification of ship-propeller-rudder using twisted rudder

Due to its multi-working characteristics, multi-condition ship type usually has several speeds. In order to take into account the good resistance performance and cavitation characteristics under different working conditions, this paper optimizes the design of the ship-propeller-rudder propulsion system combination of the mother ship. For the tail flow field area, the stern hull line of the mother ship is matched for the ship-propeller-rudder, the main section, propeller, and high-performance rudder are selected. The open water, self-propelled and cavitation tests of the optimized model show