Journal of Advanced Engineering and Computation

JAEC Annual Best Cited Paper Award — Open Now!


Announcement of JAEC annual Best Cited Paper Award

To acknowledge the authors’ continued support to the JAEC, we are pleased to announce the opening of JAEC Annual Best-Cited Paper Award for research and review articles of the JAEC. In introducing the JAEC best cited paper award, we are offering an alternative to journal award committee for selecting 'the best paper'. The only objective and transparent metric which is highly correlated with the quality of a paper is the quantity and quality of citations. We hope that the design of this annual best-cited paper award will assure fairness and equal opportunity for all authors published in JAEC. We hope that this award will stimulate the best minds to release their best work.
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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 papers, review papers, technical reports, case studies, conference reports, management reports, book reviews, notes, commentaries and news. 

Call for Papers
Issue December - 2018 (Sep 18, 2018) More...
Research Open Access
Quynh Ngo , Duc Ngoc Minh Dang , Khoa Anh Tran
Page(s): 216-223 in Vol 2, Iss 4 (2018)
Time cited: 0

In Flying Adhoc NETwork (FANET), the communications between Unmanned Aerial Vehicles (UAV), UAVs to infrastructure, and UAVs to wireless sensors are crucial design factors. With strict energy constrain during flying operation, the allocation of power and resources, the flying strategy, and the medium access mechanism shall be effectively used. When employing cellular network as backhaul for UAVs, the flying height of UAVs not only affects the communication between UAVs and end users on the ground, but also determines the reception between infrastructure (base stations from the cellular network) to UAVs. In this paper, we optimize the flying height of UAVs for better reception from the cellular network by using stochastic geometry analysis to model the aggregated interference at the UAV side. The network system performance is also examined under the effect of fading-less
channel and Rayleigh fading channel.

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 Open Access
Carlo Cattani
Page(s): 224-238 in Vol 2, Iss 4 (2018)
Time cited: 0

In this paper a review on harmonic wavelets and their fractional generalization, within the local fractional calculus, will be discussed. The main properties of harmonic wavelets and fractional harmonic wavelets will be given, by taking into account of their characteristic features in the Fourier domain. It will be shown that the local fractional derivatives of fractional wavelets have a very simple expression thus opening new frontiers in the solution of fractional differential problems

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 Open Access
Ha Che-Ngoc , Anh-Thy Pham-Chau , Dibya Jyoti Bora
Page(s): 239-250 in Vol 2, Iss 4 (2018)
Time cited: 0

The contrast is a major factor influencing the image quality; therefore, image contrast enhancement technique is more and more widely applied in the field of image processing.
In this paper, a new fuzzy rule-based contrast enhancement method using the two-steps automatic clustering algorithm is proposed. Specifically, based on the Automatic clustering algorithm, a state-of-art method in cluster analysis and data mining, this paper proposes a two-steps Automatic clustering method to determine the number of fuzzy sets and locate the critical point in membership functions so that they are suitable for the distribution of pixel intensity values. The experiments on the "Lena" image and other natural images demonstrate that the new method can effectively enhance the contrast of the images and meet the demands of human eyes perception at the same time.

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 Open Access
Manel Benaissa , Abdelhak Bennia
Page(s): 251-270 in Vol 2, Iss 4 (2018)
Time cited: 0

In this paper, we propose two novel approaches in the field of feature description and matching. The first approach concerns the feature description and matching part, where we proposed an orientation invariant feature descriptor without an additional step dedicated to this task. We exploited the information provided by two representations of the image (intensity and gradient) for a better understanding and representation of the feature point distribution. The provided information is summarized in two cumulative histograms and used in the feature description and matching process. In the context of object detection, we introduced an unsupervised learning method based on k-means clustering. Which we used as an outlier pre-elimination phase after the matching process to improve our descriptor precision. Experiments shown its robustness to image changes and a clear increase in terms of precision of the tested descriptors after the pre-elimination phase.

Research Open Access
Cuong Dinh Tran , Pavel Brandstetter , Bach Hoang Dinh , Sang Dang Ho , Minh Huu Chau Nguyen
Page(s): 281-280 in Vol 2, Iss 4 (2018)
Time cited: 0

This paper describes a new solution to control the induction motor drive system without current sensors based on improving the Hysteresis Pulse Width Modulation technique. It has proposed a control scheme which uses stator currents estimated from the differential equation of state variables to replace the feedback signal from current sensors applied in the hysteresis current controller. To verify the proposed method, simulations in MATLAB/Simulink have been implemented in various operating conditions of the motor where its speed has been changed under load as well as no load conditions. The simulation results have demonstrated the effectiveness of the proposed control method for inductive motor drives.

 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 Open Access
Kim-Hung Pho , Vu-Thanh Nguyen
Page(s): 281-292 in Vol 2, Iss 4 (2018)
Time cited: 0

Our main objective is in antagonizing the performance of two approaches: the Newton-Raphson (N-R) algorithm and maxLik function in the statistical software R to obtain optimization roots of estimating functions. We present the approach of algorithms, examples
and discussing about two approaches in detail. Besides, we prove that the N-R algorithm can
perform if our data set contain missing values, while maxLik function cannot execute in this situation. In addition, we also compare the results, as well as, the time to run code to output the result of two approaches through an example is introduced in [
1].

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 Open Access (1025 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 Open Access (835 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 Open Access (801 views since : Nov 30, 2017)
Thi Phuong Thao Nguyen , Doan Quoc Anh Nguyen , Miroslav Voznak , Van Tho Le
Page(s): 87-94 in Vol 1, Iss 2 (2017)
Time cited: 3

Enhancement of the color uniformity, the lumen output of the multi-chip white LED lamps (MCW-LEDs) at high color correlated temperature is a big challenge for researchers. However, an innovative LED lamp designed with a phosphor compounding, which combines (La,Ce,Tb) PO4:Ce:Tb (LaTb) green phosphor with YAG: CE yellow phosphor, is proposed as an optimal solution to this requirement. Index, using LaTb green phosphor into MCWLEDs could bring a superior optical performance for MCW-LEDs. It is found that the lumen output of this new MCW-LED at a high color temperature of 8500 K significantly improves up to 1600 lm compared to MCW-LEDs without LaTb phosphor. The simulation results demonstrated that the CCT deviation sharply decreases from 9000 to 1000 at the LaTb concentration range from 0 to 1.8 %, while the Color Rendering Index ability (CRI) and the Color Quality Scale (CQS) slightly decrease. To obtain the highest lumen output and the best color uniformity, the particle size range within 6 - 8 µm should be suggested.

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 Open Access (749 views since : Jun 8, 2017)
Dung Quang Nguyen
Page(s): 39-47 in Vol 1, Iss 1 (2017)
Time cited: 2

Fractional-order controllers are recognized to guarantee better closed-loop performance and robustness than conventional integer-order controllers. However, fractional-order transfer functions make time, frequency domain analysis and simulation significantly difficult. In practice, the popular way to overcome these difficulties is linearization of the fractional-order system. Here, a systematic approach is proposed for linearizing the transfer function of fractional-order systems. This approach is based on the real interpolation method (RIM) to approximate fractional-order transfer function (FOTF) by rational-order transfer function. The proposed method is implemented and compared to CFE high-frequency method; Carlson’s method; Matsuda’s method; Chare ’s method; Oustaloup’s method; least-squares, frequency interpolation method (FIM). The results of comparison show that, the method is simple, computationally efficient, flexible, and more accurate in time domain than the above considered methods.

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 Open Access (741 views since : Jun 8, 2017)
Thien Bao Tat Nguyen
Page(s): 80-86 in Vol 1, Iss 1 (2017)
Time cited: 0

In this paper, we have discussed the synchronization between coupled Josephson Junctions which experience different chaotic oscillations. Due to potential high-frequency applications, the shunted nonlinear resistive-capacitive-inductance junction (RCLSJ) model of Josephson junction was considered in this paper. In order to obtain the synchronization, an adaptive MIMO controller is developed to drive the states of the slave chaotic junction to follow the states of the master chaotic junction. The developed controller has two parts: the fuzzy neural controller and the sliding mode controller. The fuzzy neural controller employs a fuzzy neural network to simulate the behavior of the ideal feedback linearization controller, while the sliding mode controller is used to ensure the robustness of the controlled system and reduce the undesired effects of the estimate errors. In addition, the Lyapunov candidate function is also given for further stability analysis. The numerical simulations are carried out to verify the validity of the proposed control approach.

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 Open Access (730 views since : May 8, 2017)
Tuan Le Anh
Page(s): 18-28 in Vol 1, Iss 1 (2017)
Time cited: 0

This paper presents an extended Kalman filtering (EKF) algorithm for estimating immeasurable state variables of a vehicle stability control system. Initially, the steering angle and vertical forces on the tires were considered inputs of the estimator. The measured process outputs were the sensor signals egarding longitudinal and lateral accelerations, steering angle, yaw rate, and wheel speed. Subsequently, by using Euler discretization for a seven-degree-of-freedom nonlinear vehicle model, difficult-to-measure state variables such as lateral velocity, vehicle side-slip angle, and lateral tire forces were identified separately by using the EKF algorithm. The estimation results of the proposed control system evidenced high performance.

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.