Journal of Advanced Engineering and Computation

Issued quarterly (4 issues per year)

JAEC Annual Best Cited Paper Award


Announcement: 2019 JAEC Best Cited Paper Award

Journal of Advanced Engineering and Computation (JAEC) has announced JAEC Annual Best Cited Paper Award for research and review articles of the JAEC. The purpose of this award is to recognize the best-cited paper published in the past three (03) years that attracts the most citations. The quantity and quality of citations of papers are based on data from ISI and/or Scopus and/or Google Scholar that tracks the paper since its first publication.

From 2017 to 2019, JAEC has published 64 research/review papers in 3 volumes and 10 issues. Top five papers with high quantity and quality of citations have been evaluated by the Award Selection Committee.

Now, it is our pleasure to announce that Winner of 2019 Best Cited Paper Award is the paper entitled "Computational cardiovascular flow analysis with the variational multiscale methods" which is published in Volume 3, issue 2, pp. 366-405, 2019 by the authors K Takizawa*, Y Bazilevs, TE Tezduyar, MC Hsu.

Congratulation on the 2019 Award Winner.

The 2020 Award will be announced in early April 2021

Award Certificate

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AIMS & SCOPE
Journal of Advanced Engineering and Computation (JAEC) provides an international platform for the dissemination of innovative theories, methodologies, applications, and research advances in the fields of intelligent systems, computational sciences, and modern engineering technologies. The journal encourages the exchange of scientific knowledge among researchers, academics, and industry professionals working in interdisciplinary areas related to artificial intelligence and advanced computation.

The journal welcomes high-quality contributions in, but not limited to, the following areas: Algorithms, Applicable Neural Networks Theory, Artificial Intelligence, Benchmarks, Fuzzy Logic, Applied Mathematics, Hardware Implementations, Hybrid Intelligent Systems, Intelligent Control Systems, Machine Learning, Deep Learning, Neural Networks, Neuro-Fuzzy Systems, Performance Measures, Software Simulations, Supervised and Unsupervised Learning Methods, and System Engineering and Integration.

JAEC also aims to promote research and technological developments in energy-related engineering fields, including Renewable Energies, Power Systems, Transmission Power Networks, Distribution Power Networks, Smart Grids, and Microgrids. The journal emphasizes interdisciplinary and international collaboration to support sustainable technological innovation and broaden the practical applicability of modern engineering and computational research.

READERSHIP
The journal provides a vehicle to help professionals, academics, researchers and policy makers working in fields relevant to advanced engineering and computation to disseminate information and to learn from each other's work.

CONTENTS
JAEC publishes original research papers, review papers, case reports, technical notes and short communications. 

OPEN ACCESS
JAEC is a fully open access, single-blind peer reviewed, electronic and print, and a quarter-annual publication. Currently, Ton Duc Thang University is pleased to cover all publishing fees for the journal; as a result, authors do not have to pay any fees although their published papers are open to the reader.

TERM AND CONDITIONS 
JAEC publishes Open Access articles under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution, and reproduction in any medium provided the original work is properly cited.

Call for Papers
Research Article Open Access
Ameze Big-Alabo
Page(s): 84-106 in Vol 10, Iss 2 (2026)
Time cited: 0

The present study reviews Deep Reinforcement Learning (DRL) algorithms as applied to Photovoltaic (PV) systems. A literature survey was conducted on various DRL techniques for Maximum Power Point Tracking (MPPT) and Partial Shading Conditions. The survey shows Deep Deterministic Policy Gradient (DDPG) to be the most implemented technique because of its fast convergence speed. Deep Q-Network (DQN) was considered to achieve faster response than DDPG. Twin Delayed Deep Deterministic Policy Gradient (TD3) was considered preferable, while Soft Actor-Critic (SAC), approach better eliminates power oscillations, under partially shaded conditions. The implementation of DRL-based MPPT for critical and effective learning requires defining the state variable, action variable and reward function of the PV module. It is therefore important to observe the voltage, current, irradiance, and temperature data that can allow for easy adaptation to changing environmental conditions. DRL requires higher computational effort compared to conventional methods due to its training phase. However, the trained models can operate with relatively low computational effort, thus making it a promising approach for real-time applications. The literature survey also showed that the exploration–exploitation trade-off is a fundamental challenge in DRL-based MPPT control. Therefore, effective management of this trade-off, as well as bridging the gap between simulation and real-world hardware implementation, will enable DRL to become a practical solution for MPPT in PV systems.

Research Article Open Access
Jiang Jian-zhong
Page(s): 107-120 in Vol 10, Iss 2 (2026)
Time cited: 0
Due to the absence of rigorous mathematical modeling and extensive experimental validation, the applications of torsion fields—such as zero-point energy extraction and therapeutic functionalities—remain in the hypothetical stage. Currently, the mainstream physics community has not recognized torsion field as a fundamental force, and research in this domain continues to reside within the realm of fringe science. Building upon the precise modeling of the vacuum scalar wave equations and particle propagation mode, we derived a theoretical framework for the generation of artificial torsion fields and gravitational field via vacuum scalar wave vortex electromagnetic fields, thereby elucidating the intrinsic correlation between these two field phenomena. Additionally, we conducted preliminary experiments to qualitatively verify the directional characteristics of artificial torsion and gravitational fields induced by vortex electromagnetic fields. Our study further provides profound insights into the fundamental nature of torsion and gravitational fields: the torsion field is an acceleration field associated with the tangential rotational motion of local space, whereas the gravitational field is an acceleration field corresponding to the radial curvilinear motion of local space.
Research Article Open Access
Duy Anh Bui , Bon Nhan Nguyen , Partha Kayal
Page(s): 121-138 in Vol 10, Iss 2 (2026)
Time cited: 0

Accurate classification of power quality disturbances (PQDs) is critical for maintaining grid stability amidst the increasing integration of renewable energy sources. However, traditional feature extraction methods and standard Convolutional Neural Networks (CNNs) struggle with non-stationary signals due to fixed-size convolutional kernels that cannot simultaneously capture features at multiple temporal and spectral scales. To address this limitation, this paper proposes a hybrid framework integrating Continuous Wavelet Transform (CWT) with the GoogLeNet (Inception v1) architecture. The method converts one-dimensional voltage waveforms into two-dimensional time-frequency scalograms, which are then processed by GoogLeNet's Inception modules—featuring parallel 1 × 1, 3 × 3, and 5 × 5 convolutional pathways—to extract multi-scale features simultaneously. Extensive experimental validation on a balanced dataset of 2,100 simulated samples across seven disturbance types demonstrates robust performance, achieving a mean classification accuracy of 90.95% ± 1.60% over 10 independent trials, with best-case performance at 93.29%. Notably, frequency-domain disturbances (Harmonics and Oscillatory Transients) attain perfect classification (100%, σ = 0%) across all trials. These results demonstrate that the proposed CWT–GoogLeNet framework effectively addresses the multi-scale feature extraction challenge, demonstrating reliable statistical performance for automated power quality monitoring in modern smart grid applications.

Research Article Open Access
Vojtech Sotola , Marek Kubatko , Quang Thanh Nguyen , Huy Duc Bui , Phung Hai Nguyen
Page(s): 139-153 in Vol 10, Iss 2 (2026)
Time cited: 0

This study examines how two rotor flux estimators, the voltage model and the current model, behave when used within the same field-oriented control (FOC) structure for a three-phase induction motor drive. Particular attention is given to the effect of stator and rotor resistance variations, since these parameters directly enter the voltage and current model calculations and may change during operation due to heating. In the simulation study, both estimators are tested under low-, medium-, and high-speed conditions. A 30\% increase in stator and rotor resistance is introduced while the drive is operating, and the resulting speed response and flux estimation behavior are then compared. The assessment is based on four time-domain error criteria: Integral of Absolute Error (IAE), Integral of Time multiplied Absolute Error (ITAE), Integral of Squared Error (ISE), and Integral of Time multiplied Squared Error (ITSE). The results show that the voltage model depends on the accuracy of the stator resistance, while the current model depends on the rotor resistance. This effect is most severe in the low-speed region, where the resistive voltage drop becomes significant relative to the applied stator voltage. At higher speeds, the voltage model error decreases, and the difference between the two estimators becomes smaller. These results indicate that the current model is a more reliable option when the drive is expected to operate under uncertainty in stator and rotor resistance, particularly at low speed.

Research Article Open Access
Jasmier Quitain Ocampo , Great Christian Galing , Shawn Bhryle Mendioro , Chris Ervee Tiozon , Federico Roy Jr. , Alexander Montero
Page(s): 154-174 in Vol 10, Iss 2 (2026)
Time cited: 0

Electronic devices and wireless systems have been on the rise increasing the demand of effective electromagnetic interference (EMI) and magnetic shielding solutions. Despite its effectiveness, traditional metallic shields possess drawbacks in terms of size, rigidity, prone to corrosion and incapable of being fitted with other systems in the modern compact system. Composites made of polymer and carbon have become promising alternatives, with lightweight, flexible and tunable shielding properties. This review discusses the growing demand for shielding and the shortcomings of traditional materials, followed by the fundamental principles of EMI and magnetic shielding. Standardized characterization and measurement techniques are then discussed, with an overview of conventional metallic shields. Also, it determines the structural designs, fabrication techniques, and performances of polymer- and carbon-based composite materials across low- and high-frequency regimes. The practical uses of composites in aerospace, electronics, wearable, and biomedical systems are also highlighted. Lastly, current limitations and gaps in the research, such as broadband performance, mechanical flexibility, environmental stability, and standardization are defined to inform the creation of the next-generation composite shielding solutions. Ultimately, this review aims to provide insights to researchers and engineers to further develop and implement next-generation composite shielding solutions.

Research Article Open Access (7295 views since : Nov 30, 2017)
Filip Zatloukal , Jiri Znoj
Page(s): 153-161 in Vol 1, Iss 2 (2017)
Time cited: 0

This paper follows our previous research in which we made a basic experiment to find out if it is possible to detect malware by multiple PE header detection. The previous results show us that there is a considerable amount of malwares that connect themselves to another file. This paper summarizes our previous results, updates the results and also expands them by adding an optimization method and also by including the scan of another (specific) types of data.

 

Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Research Article Open Access (4272 views since : Sep 30, 2019)
Du Dinh-Cong , Linh Vo-Van , Dung Nguyen-Quoc , Trung Nguyen-Thoi
Page(s): 452-463 in Vol 3, Iss 3 (2019)
Time cited: 0

Modal kinetic energy (MKE) feature has been mostly employed for optimal sensor layout strategies; nevertheless, little attention is paid to use the feature to the field of structural damage detection. The article presents the extensive applicability of MKE change ratio (MKECR), a good damage sensitive parameter, to damage localization and quantification of laminated composite beams. The formulation of the parameter is based on the closed-form of element MKE sensitivity. The performance of the offered damage detection method is numerically verified by a clamped-clamped composite beam and a two-span continuous composite beam with different hypothetical damage scenarios. The influence of incomplete mode shapes, various noise levels as well as damage magnitudes on damage prediction results are also investigated. The obtained results from these numerical examples indicate that the offered method reliably localize the actually damaged elements and approximately estimate their severities, even under incomplete measurements at a high noise level.


Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

 

Research Article Open Access (4206 views since : Nov 30, 2017)
Thao Nguyen-Trang , Long Vu-Hoang , Trieu Nguyen-Thi , Ha Che-Ngoc
Page(s): 123-133 in Vol 1, Iss 2 (2017)
Time cited: 0

Tax consulting service is one of various professional consulting services and is interested to study by many researchers. Nevertheless, this issue has not been interested to research in Vietnam. This paper performs confirmatory factors analysis (CFA) and structural equation modeling (SEM) to identify the factors influencing the intentions of using tax consulting services of firms in Ho Chi Minh city, Vietnam. Specifically, this paper finds that the intentions depend on the “attitude toward the behavior” and “replacement”. In addition, through Chi-square test, it can be proven that the intentions also depend on type of firms and whether they have ever used tax consulting service or not. Based on the obtained results, the discussion and recommendation are also proposed.


Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Research Article Open Access (4069 views since : Jun 8, 2017)
Jaroslav Pokorny
Page(s): 04-17 in Vol 1, Iss 1 (2017)
Time cited: 0

Comparing graph databases with traditional,e.g., relational databases, some important database features are often missing there. Particularly, a graph database schema including integrity constraints is mostly not explicitly defined, also a conceptual modelling is not used. It is hard to check a consistency of the graph database, because almost no integrity constraints are defined or only their very simple representatives can be specified. In the paper, we discuss these issues and present current possibilities and challenges in graph database modelling. We focus also on integrity constraints modelling and propose functional dependencies between entity types, which reminds modelling functional dependencies known from relational databases. We show a number of examples of often cited GDBMSs and their approach to database schemas and ICs specification. Also a conceptual level of a graph database design is considered. We propose a sufficient conceptual model based on a binary variant of the ER model and show its relationship to a graph database model, i.e. a mapping conceptual schemas to database schemas. An alternative based on the conceptual functions called attributes is presented.

 

Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Research Article Open Access (3984 views since : Dec 31, 2019)
Ravi Teja Velpula , Barsha Jain , Ha Quoc Thang Bui , Hieu Pham Trung Nguyen
Page(s): 551-588 in Vol 3, Iss 4 (2019)
Time cited: 0

III-nitride nanowire-based light-emitting diodes (LEDs) have been intensively studied as promising candidates for future lighting technologies. Compared to conventional GaN-based planar LEDs, III-nitride nanowire LEDs exhibit numerous advantages including greatly reduced dislocation densities, polarization fields, and quantum-conned Stark effect due to the effective lateral stress relaxation, promising high-efficiency full-color LEDs. Beside these advantages, however, several issues have been identified as the limiting factors for further enhancing the nanowire LED quantum efficiency and light output power. Some of the most probable causes have been identified as due to the lack of carrier confinement in the active region, non-uniform carrier distribution, electron overflow, and the nonradiative recombination along the nanowire lateral surfaces. Moreover, the presence of large surface states and defects contribute significantly to the carrier loss in nanowire LEDs. Consequently, reported nanowire LEDs show relatively low output power. Recently, III-nitride core-shell nanowire LED structures have been reported as the most efficient nanowire white LEDs with a record-high output power which is more than 500 times stronger than that of nanowire white LEDs without using core-shell structure. In this context, we will review the current status, challenges, and approaches for the high-performance IIInitride nanowire LEDs. More specifically, we will describe the current methods for the fabrication of nanowire structures including top-down and bottom-up approaches, followed by characteristics of III-nitride nanowire LEDs. We will then discuss the carrier dynamics and loss mechanism in nanowire LEDs. The typical designs for the enhanced performance of III-nitride nanowire LEDs will be presented next. The color-tunable nanowire LEDs with emission wavelengths in the visible spectrum and phosphor-free nanowire white LEDs will be finally discussed.


Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

Research Article Open Access (3979 views since : Dec 31, 2019)
Faiza Zaamoune , Tidjani Menacer , René Lozi , Guanrong Chen
Page(s): 511-522 in Vol 3, Iss 4 (2019)
Time cited: 0

In this paper, hidden bifurcation routes to multiscroll chaotic attractors generated by saturated function series are explored. The method to nd such hidden bifurcation routes (HBR) depending upon two parameters is similar to the method introduced by Menacer, et al. (2016) for Chua multiscroll attractors. These HBR are characterized by the maximal range extension (MARE) of their attractors and coding the appearance order of the scrolls under the control of the two parameters. Moreover, these HDR have interesting symmetries with respect to the two parameters. The novelty that this article introduces, is firstly the paradigm of MARE and the formula giving their approximate value depending upon parameters p and q, which is linked to the size of the scrolls; secondly the coding of the HBR which is dened for the first time including the basic cell; and thirdly unearthing the symmetries of these routes, allowing to obtain their coding without any numerical computation.

Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.