ISSN (Print): 2352-0965
ISSN (Online): 2352-0973
Volume 13, 8 Issues, 2020
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ISSN (Print): 2352-0965
ISSN (Online): 2352-0973
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Special Issue Submission
Secure, Resilient and Green Computing in Wireless Sensor Networks
Guest Editor(s): Rajiv Kumar, Hemraj Saini
Tentative Publication Date: December, 2018
Submit Abstract via Email
ADVANCES IN ELECTRONICS AND COMMUNICATIONS
Guest Editor(s): Wei-Chiang Wu
Has contributed: Download Description
Multisource Data, Multimedia Content, Multimodal Interaction
Recent Advances in Electrical & Electronic Engineering, Volume 11, Number 2
Guest Editor(s): Zhihan Lv
The service quality of Bentham Science Publishers is very good, and we look forward to continuing to cooperate with it in the future.
Cheng Jiatang (Honghe University, China.)
5 Abstract Ahead of Print are available electronically
67 Articles Ahead of Print are available electronically
Welcome to the special issue on “Grid Integration of Renewable Energy Sources” in Recent Advances
in Electrical and Electronics Engineering (EENG). EENG is a peer-reviewed journal that
considers both Research and review based papers.
In most of the countries, renewable energy sources have touched grid parity. The key to increase
the penetration of renewables in the power mix is to have intelligent integration of the renewable
energy sources in the power system network. Integration of intermittent renewable energy sources to
the power system network depends on the scale of power generation. Higher capacity renewables are
connected to the high voltage network and lower capacity renewables are connected in the medium
and low voltage network. There are many technical challenges for integrating the renewables at
higher voltage levels as well as lower voltage levels. It necessitates many technical developments,
for example, in power conditioning devices, to fulfill the necessity for demand flexibility and controllable dispatching of the
The aims of this special issue are to explore the new strategies to overcome the technical challenges of grid integration of
renewable energy sources, such as interconnection (tie-line) capacity among different power system areas (zones), technoeconomic
hybrid system with several types of distributed energy resources, micro-grid and demand-side management capabilities.
IN THIS THEMATIC ISSUE
In the first article, the authors have addressed the problem related to a sudden change in irradiance and temperature, which
causes oscillations in the DC-link voltage, further influencing the dynamic of the system. Feed Forward Compensation (FFC) is
proposed by the authors to overcome the oscillations in the DC-link voltage. The current FFC improves the speed of current
reference estimation and the response of injected currents into the grid. As a consequence, rise time and settling time of the DClink
voltage are reduced. Authors have shared extensive MATLAB simulation results for different conditions to validate the
robustness of the controller under changing environmental conditions.
The second article has proposed a Refined Model Predictive Control (RMPC) strategy for controlling a back-to-back three-
Level (3L) Neutral-Point-Clamped (NPC) converter interfacing a PMSG based WECS with the electric grid. The algorithm
identifies the optimal switching state from the appropriate candidate set of SSs. The performance of RMPC is verified by simulation
The third article improves the quality of power using Photovoltaic based Distribution Static Compensator (PVDSTATCOM).
Authors have presented the complete simulation modelling and control of Photovoltaic based Distribution Static
Compensator in this article. The configuration proposed by authors has a DSTATCOM, which is fed by a solar photovoltaic
array and PV module to maintain the DC link voltage.
The next article presents the balance of power and voltage of a solid-state transformer for the grid side converter with the
help of the decoupled control technique. Authors of this article have observed that the crossed couple element eliminates by
using decoupling control. It is one of the voltage oriented control techniques. A decoupled control technique allows the bidirectional
power flow and controlling the active power, reactive power and maintaining the steady-state dc interface voltage.
The fifth article proposed the Wavelet Transform (WT) based General Regression Neural Network (GRNN) with statistical
time series input selection technique with an objective to improve the estimation accuracy of wind power. Authors have compared
the results of the proposed model with four different (Naive, Feed Forward Neural Networks, Recurrent Neural Networks
& GRNN) benchmark models on MEAN Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) accuracy scale.
The last article presented a concept of a PV system integrated with pumped storage for electrification/ implementation in rural
areas. The proposed system operates at Maximum Power Point Tracking (MPPT) without de-rating the PV capacity or any need for ESD. The control philosophy is simple, robust and ensures two modes of operation for pumped storage depending upon
the PV power being generated, load demand and available water level in the lower and upper reservoir. Further, authors
have concluded that to operate the PV system at night with heavy loads, additional ESD may require for better response and
Finally, we would like to thank all the reviewers for their excellent work and the authors for their contribution. We expect
that Recent Advances in Electrical and Electronics Engineering will provide the best platform for the authors and the readers,
with a comprehensive overview of the most recent developments in the area of engineering.
With the fast developing of information age, researchers in different fields have begun to make studies on some new ideas
and methods related to the advanced electronic science and technology. The goal of this issue is to introduce the currently
cutting-edge technologies in the fields of ELECTRICAL & ELECTRONIC ENGINEERING, including: Linear and
nonlinear circuits and systems, statistical signal processing, multimedia, computer aided design, neural systems, communication
circuits and systems, VLSI signal processing, industry 4.0 communications, hyperdense networks, mmwave communications,
optical wireless communications, datacenter networks, future internet architectures, big data & artificial intelligence in network
architectures, cloud computing.
The issue publishes review and research articles that covers the most recent research field in fast emerging applications of
communication, signal processing, circuit systems, power transmission, electromagnetism, motor control process and
technologies involved and related to electrical and electronic engineering. After a careful peer review process, only 14 papers
are accepted by editorial team of this issue. Each paper has a specialized technical interest. All accepted papers have been peer
reviewed by at least 2-3 experts and each paper is requested to be revised according to the review comments from all experts.
The paper of W. Li, M. Hsu and L. Huang presents state-of-the-art technique of linear and nonlinear circuits design . D.
Zhang, J. Yang and other co-authors contribute a paper presents computer aided design of a communication circuits . H. Yu and
Z. Liu have explored the analog and digital circuits design . Y. He, H. Wang and Z. Feng designed a Wide-Band and Wide-
Beam Dielectric Resonator Antenna and analyzed its performance . The work of R. Yuwono and F. Krisnanda analyzes the
performance of an array micro-strip antennas circuits system . N. Ahmad, K. Nishioka and Y. Ota analyzed the performance of
an advanced signal processing system . X. Chen and J. Chen presented a novel networking system and proposed a state-oftheart
technique of VLSI signal processing . Y. He, Y. Meng, G. Tang, W. Deng and H. Zhong presented statistical signal
processing in circuits and systems . C. Faria, D. Baptista, J. C. Marques and F. Morgado-Dias designed a state-of-the-art control
system . L. Fang, W. Hao and other co-authors developed state-of-the-art data reduction method . X. Zhang, R. Zhang, J.
Wang and L. Wang presented a novel adaptive signal processing algorithm . Y. Zhang, W. Huang, T. Zhang and T. Zhang
proposed a novel and excellent algorithm of Cloud Computing . N. Qiao, K. Xiao and C. Wei presented a novel Photoelectric
circuits design . Jie Dong proposed a temperature control model and investigate the performance of this system . Y. Zhang,
H. Deng, W. Zhuo and G. Zhong presented state-of-the-art technique of a control system .
The advances of electronic technologies have opened new opportunities to analyze, manage, and
optimize complex electronic systems dynamically and intelligently. Lots of emerging paradigms have
fundamentally changed the design landscape of complex electronic systems, and have been spurring a
scientific and engineering revolution in the electronic academia and industry. To significantly improve
productivity and performance of conventional electronic hardware and utilities, technology advances in
various areas, such as those in intelligent computing, need to be reexamined and jointly utilized under a
coherent optimization framework to reach an innovative and efficient solution. New models, metrics, and
methodologies in decision theory, evolutionary computing, machine learning, and statistical signal
analysis are needed to intelligently adapt the electronic system innovations to suit user preferences, meet
environment constraints, and achieve better system capacity and utilization.
In this special issue, we present eight papers to bridge the gap existing between measurement and
optimization technologies and complex electronic systems. The objective of this special issue is to bring
together research contributions on the design, specification, and implementation of measurement and
optimization in complex electronic systems. This special issue covers a variety of recent research articles
and comprehensive materials.
The first paper of this special issue, “Research on Equipment Abnormal Decision and Maintenance
Strategy Based on Performance Degradation Data” by S.S. Wang et al., presents an abnormal failure
judgment method of the device based on the performance degradation data. An abnormal observation is
decided by classifying it into the abnormal class.
The second paper of this special issue, “An Evolutionary Approach to the Maximum Edge Weight
Clique Problem” by D.B.M.M. Fontes et al., addresses the maximum edge weight clique problem
(MEWC). A random key genetic algorithm is proposed to find good quality solutions for this problem.
The MEWC problem can be used to model applications in many fields including broadband network
design, computer vision, pattern recognition, and robotics.
The third paper of this special issue, “Study on the Temperature Control Method for Piecewise
Microwave Heating” by R. Zhao et al., discusses the temperature control problem for piecewise
microwave heating. A microwave source power control method based on piecewise fussy PID is
proposed. This method uses the k-means clustering to divide temperature change of the heated material
into low-temperature (LT) stage and high-temperature (HT) stage, and adopts fuzzy PID control strategies
of different levels and rules based on different temperature change characteristics.
The fourth paper of this special issue, “A stage-wise stationary monocular visual control method for
assembly robot” by X. Hu and D. Xiao, a novel stage-wise visual control method is proposed, which
adopts different control strategies at different stages. The location-based visual control strategy is used for
the vertical plane, and the image-based visual control strategy is used for the horizontal plane.
In the area of electronics, the paper “Residual life prediction of RF oscillator under accelerated stress
failure condition” proposes and discusses the advantages of a method for predicting residual useful life of
RF oscillators. The status evaluation of the device and prediction of its residual life are based on
measuring its acceleration sensitivity and the related degradation law; the peculiarity of the paper is that
the acceleration sensitivity is analyzed when the device is subject to particular vibration patterns,
providing a way for making practical tests.
In the area of fiber laser technology, the paper “Chaos-Control and Locking in a Dual-Ring Er-Doped
Fiber Laser by Adjusting Loss” presents a study on the possibility of controlling the chaotic states of a dual ring Er-doped laser by means of a single parameter, with advantages in terms of flexibility and
feasibility. The study is expected to have further implications when modulation will be included in the
system and experiments.
A novel estimation method for chirp signals parameters is presented in the paper “Parameter Estimation
Method for Chirp Signals under Stable Noise”. Chirp signals are widely applied in many fields and, in
some conditions, they turn out to be affected not by Gaussian noise but by -stable noise, whose model
includes a larger range of possible scenarios. The proposed method estimates frequency and chirp rate of
the signal providing performance and computational advantages w.r.t. methods based on Fractional
Finally, the paper “Bipartite matching with incomplete ordinal relations considering matching
aspirations” presents a novel path for solving a particular bipartite matching problem. It is known that
bipartite matching has different applications in several areas, including object recognition and resource
allocation, and the paper contribution applies to the challenging case of incomplete preferences provided
by the agents from the two sides.
Our special thanks go to the editorial board members of this journal for their valuable supports
throughout the preparation and publication of this special issue. We would like to thank all authors for
their contributions to this special issue.
Recently, multimedia content is used everywhere because of the variety of applications. So the analysis
of multimedia content becomes a highlight today. In one side, multimedia content is based on invisible
multisource data, in another side, multimedia content is expressed as multimodal interaction. Though there
are lots of studies in this field, more remaining issues are waiting for solving, for example, visualization,
computer vision, information processing and recognition, virtual/augmented reality and so on. In
particular, the uses of sophisticated and robust researches and applications are important.
So, this special issue aims to provide an opportunity for researchers to publish their gifted theoretical
and technological studies with theory and practical engineering applications in multimedia. This special
issue will be focus on the state-of-the-art research and application as well as review in the studies of all
areas regarding multimedia.
‘Design of security monitoring platform for intelligent irrigation system based on cloud services’ designs
and implements a remote visualization intelligent irrigation system based on cloud services, which is the
ultimate goal of intelligent irrigation system. Through the realization of remote visualization system of
intelligent watering irrigation system based on cloud service simulation, real-time remote visual monitoring.
To water the flowers for instance of irrigation, detailing the remote visualization intelligent watering system,
around the system each function module detailed design. Finally, a remote visualization intelligent irrigation
system based on cloud service is realized. The system integrates the function of remote irrigation and
visualization, realizes the intelligent irrigation of crops through the Internet of things sensor technology, and
realizes remote visualization using video monitoring technology. Compared with the existing remote
irrigation system, the system has a unique visual advantage, which has a great market prospect.
With the advent of internet times, the combination of the basketball teaching and multimedia becomes
more and more closely, and the use of computer multimedia technology to effectively test the tactical
awareness has been widely concerned. In ‘Research on basketball tactical consciousness aided training
system based on Multimedia Technology’, Based on the analysis of the current development trend of
basketball, we can conclude that basketball tactical awareness training is more and more important.
However, the multimedia technology is still insufficient to the basketball tactical consciousness training.
Aiming at the deficiency, this paper designs a multimedia aided training system of basketball tactical
consciousness based on the professional theory and technology. The system test method can objectively
reflect students' basketball tactics consciousness level, using training methods can improve the students on
field situation observation, analysis and decision making ability, and promote the formation of students'
consciousness of basketball tactics in this system. Finally, by using the method of fuzzy comprehensive
evaluation on the system after the training of students A score test is carried out to verify the effectiveness
of the system.
Harris corner detection based on the characteristic value of the second order matrix to extract corner
features is regarded as one of the most successful algorithms in corner detection. In ‘Harris Corner
Detection Algorithm Optimization.
Based on OTSU’, OTSU algorithm shorted for the maximum variance between clusters can calculates
the maximum variance between the background area and the target area based on the image gray
histograms, and then obtain the adaptive threshold. Because Harris needs to artificially select threshold
and threshold estimation is very difficult, to solve these problems, the OHO algorithm is proposed in this
paper,which aims to optimize the Harris algorithm based on OTSU. The OHO algorithm combines the
characteristics of the high accuracy of Harris algorithm and the adaptive threshold selection of OTSU.
Experiments show that the OHO algorithm can detect more small and authentic corners than traditional
Harris, and it has better adaptability and robustness.
The switched reluctance motor has strong nonlinear feature due to its structure and operation mode, and
the performances and control methods of this new kind of motors are significantly different from those
traditional ones. As a result, the accurate modeling and high performance control of the switched
reluctance motor proves to be very important and has gained widely research. In ‘Switched Reluctance
Motor Control based on Improved Neural network’, a kind of switched reluctance motor based on PID
neural network control method is proposed, which combines artificial fish swarm and particle swarm
optimization to optimize weights and thresholds of BP neural network. Speed response of the improved
BP algorithm has no overshoot, has a smooth transition to the steady state and eliminates the oscillation
phenomena that exists in the PID control. Besides, it reduces the time of transient process to improve the
response speed. Anti-interference ability and robustness is obviously superior to the PID control.
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