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) is a forum for the presentation of innovative ideas, approaches, developments, and research projects in the area of advanced engineering and computation. It serves to facilitate the exchange of information between researchers and industry professionals. Multi-disciplinary topics that connect the core areas of advanced engineering and computation and its applications are also covered in this journal.

It also aims to promote and coordinate developments in the field of advanced engineering and computation. The international dimension is emphasized in order to foster international collaboration in advanced engineering and computation to meet the needs of broadening the applicability and scope of the current body of knowledge.

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
Nguyen Thi Phuong Loan , Ha Thanh Tung
Page(s): 175-183 in Vol 9, Iss 4 (2025)
Time cited: 0

The Na2GdMg2(VO4)3 (NGMV) has proved to be an exceptional substrate for the doping of trivalent europium ions to produce a novel red phosphor. The paper presents NEuGMV red phosphors, synthesized via the conventional solid-state method, with a focus on evaluating their photoluminescence performance. The obtained results emphasize the latent applications of NEuGMV red phosphors in the context of warm white light emitting diodes (WLEDs). To further investigating the use of NEuGMV red phosphors in developing WLED lighting, a color-converted film, NEuGMV@TiO2, is developed by incorporating TiO2 scattering particles and NEuGMV with silicone gel. The relationship between NEuGMV@TiO2 and the blue-LED-chip emitted light is explored, with particular attention to the impact of varying TiO2 doping concentrations. Introduction of the NEuGMV@TiO2 composite introduces a distinct 590-nm red emission peak in the produced light spectrum, effectively mitigating color variation. However, excessive TiO2 content is observed to diminish the total lumen output due to intense scattered light, thereby elevating the likelihood of light loss. Nonetheless, optimal TiO2 incorporation leads to the demonstration of NEuGMV@TiO2 potential as a tunable red-luminescent layer within the WLED system.

Research Article Open Access
Willy Stephen Tounsi Fokui , Rene Ebunle Akupan , Danube Kirt Ngongang Wandji
Page(s): 184-201 in Vol 9, Iss 4 (2025)
Time cited: 0

The high dependence of the transport sector on fossil fuels has raised serious concerns worldwide. It accounts for most greenhouse gas (GHG) emissions in many countries and is a major driver of climate change and air pollution, both of which affect health and the environment. Reducing carbon dioxide (CO2) emissions in this sector is urgently needed, along with measures to increase resilience to climate change. One promising solution is adopting electric vehicles (EVs), which produce no emissions. However, the benefits of EVs depend on installing enough EV charging stations (EVCSs) where people live, work, and play. Charging EVs from the electrical distribution network (DN) adds extra load, so optimal placement of EVCSs is essential to serve the EV population efficiently. Integrating distributed generation (DG) into the DN can help mitigate the negative impact of EVs, but it must be done carefully to avoid exceeding grid capacity. To address these challenges, the hybrid Bacterial Foraging Optimization - Particle Swarm Optimization (BFOA-PSO) technique is proposed for effectively allocating EVCSs alongside photovoltaic (PV) systems within the DN. This approach aims to reduce power loss and the average voltage deviation index while improving voltage profile and stability. The study utilizes the standard IEEE 69-node test distribution network (DN), modeled as a purely commercial network comprising retail shops, marketplaces, and offices. Simulation results show the effectiveness of the BFO-PSO in optimally integrating the EVCSs and the compensating PV systems into the distribution network.  For example, without EVCSs and PVs, the network’s power loss was 138.89 kW. This slightly increased to 142.99 kW with EVCSs but decreased significantly to 48.64 kW when PV systems were added. To verify the effectiveness of the hybrid BFO-PSO, results were compared with existing literature, confirming its superiority. The successful integration of EVCSs and PV systems in current distribution networks will depend on coordinated efforts between the transport sector and utility companies. 

Research Article Open Access
Kelechi K Amamba , Olufemi S Oloniluyi , Olayinka H Sikiru
Page(s): 202-225 in Vol 9, Iss 4 (2025)
Time cited: 0

This paper presents a comprehensive study on credit card fraud detection, addressing the escalating issue of fraudulent activities that significantly impact both financial institutions and consumers. We introduce a novel framework for evaluating the collective performance of diverse machine learning (ML) models—including Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, and Neural Networks—using a synthetic dataset carefully constructed to mirror real-world transaction features and behavioral patterns. By applying various sampling strategies to this highly imbalanced dataset and leveraging domain knowledge for feature selection, this study aims to enhance both the accuracy and stability of fraud detection models, while identifying the minimum feature set required for optimal detection speed and efficiency. Our results reveal that algorithms such as Gaussian Naive Bayes, Kernel Naive Bayes, Cubic SVM, and Trilayered Neural Networks each provide strong, balanced performance. Building on these findings, we propose that ensembling these top-performing models could further improve detection rates and reliablity, harnessing their complementary strengths to achieve superior overall performance. This paper underscores the necessity of advanced and integrated ML techniques for robust, timely fraud detection, offering valuable insights for real-time implementation and presenting a comprehensive solution to a pressing financial security challenge.

Research Article Open Access
Md Shariful Islam
Page(s): 226-234 in Vol 9, Iss 4 (2025)
Time cited: 0

Seismic vulnerability assessment of existing reinforced concrete structures remains a critical challenge in earthquake-prone regions, where uncertainties in material properties, structural capacity and seismic demand significantly influence decision-making processes. This study introduces a robust Bayesian framework for the probabilistic seismic assessment and retrofitting of reinforced concrete (RC) building and bridge foundations. The methodology synthesizes prior information from design codes, historical evidence and expert insight with in-situ measurement data to iteratively refine the probabilistic characterization of vital structural parameters. Utilizing Markov Chain Monte Carlo (MCMC) sampling techniques, this study elucidates the derivation of posterior distributions for foundational geotechnical parameters, notably soil bearing capacity, fragility curve parameters and peak ground acceleration can inform risk-based retrofitting strategies. A case study reveals that Bayesian updating reduced the failure probability from 23.2% to 4.3% post-retrofit, with a benefit-cost ratio of 7.58, validating the economic efficiency of the proposed approach. The framework provides engineers with a rational, probabilistic tool for continuously updating structural safety assessments as new data becomes available, ultimately enhancing resilience in earthquake-prone communities. This research advances the broader discourse in performance-based earthquake engineering (PBEE) by proposing an applicable framework that systematically incorporates both epistemic and aleatory uncertainty into seismic risk quantification.

Research Article Open Access
Nguyen Thi Phuong Loan , Hsin-Yi Ma , Hsiao Yi Lee
Page(s): 235-245 in Vol 9, Iss 4 (2025)
Time cited: 0

The present article a simple and controllable method for synthesizing cobalt oxide nanoparticles (CoO and Co₃O₄) with adjustable particle dimensions and morphologies. Cobalt glycerolate was first obtained by refluxing cobalt nitrate and glycerol for four hours, then thermally decomposed at 450–650oC under a mixed oxygen/nitrogen atmosphere for one hour to produce cobalt oxide nanoparticles. The structural phases and crystallite sizes were investigated using X-ray diffraction (XRD) and calculated via the Scherrer equation, while investigated and scanning electron microscopic examination (TEM and SEM) confirmed particle shape, size distribution, and surface uniformity. By varying the decomposition temperature, both particle size and phase composition were effectively controlled—lower temperatures favoring smaller CoO nanoparticles and higher temperatures producing larger, well-crystallized Co₃O₄ particles. The resulting nanoparticles exhibit uniform morphology, high crystallinity, and controllable dimensions, making them suitable for diverse applications in lithium-ion batteries, chemical sensors, and nanoelectronic devices. This straightforward synthesis strategy offers an efficient and scalable route for tailoring cobalt oxide nanomaterials with desirable structural and functional properties.

Research Article Open Access (6981 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 (4008 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 (3906 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 (3805 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 (3726 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 (3639 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.