ISSN (Print): 2352-0965
ISSN (Online): 2352-0973
Volume 14, 8 Issues, 2021
Download PDF Flyer
Open Access Funding
Promote Your Article
ISSN (Print): 2352-0965
ISSN (Online): 2352-0973
Aims & Scope
ChemWeb, CNKI Scholar, Dimensions, EBSCO, EI/Compendex, Emerging Sources Citation Index (ESCI) by Clarivate Analytics, Genamics JournalSeek, Google Scholar,
J-Gate, JournalTOCs, MediaFinder®-Standard Periodical Directory, PubsHub, QOAM,
Scopus, Suweco CZ and Ulrich's Periodicals Directory
Submit Abstracts / Manuscripts Online
Animated Abstract Submission
View Full Editorial Board
Fabricating and Stating False Information
Self Archiving Policies
Guest Editor Guidelines
Peer Review Workflow
Free Copies Online
Open Access Articles
Most Cited Articles
Advertise With Us
Most Accessed Articles
Most Popular Articles
Special Issue Submission
Emerging Trends and Innovations in ICT
Guest Editor(s): Altaf O. Mulani, Geetanjali Kale, Pradip Varade, Kavita Sultanpure
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.)
18 Articles Ahead of Print are available electronically
In the present era of research and technology, several emerging concepts, like Wireless Sensor Networks (WSN), Body
Wireless Sensor Networks (BWSN), Internet of Things (IoT), Cloud, Fog, Edge, SDN, and Big Data Analytics, can support IoT
for design and development of intelligent systems in diverse domains. This special issue aims to concentrate on all aspects and
future research directions related to this specific area of multimedia-based emerging technologies. We received 22 manuscripts
in total for this special issue across the globe, and after the rigorous review process, only 5 manuscripts have been accepted for
publication. The commitments for this Special Issue are reviewed as follows:
Wang et al. contribute an article titled “A Research on HMM-based Speech Recognition in Spoken English.” This article unveils
the technological perspective of an automated speech recognition system to realize the spoken English speech recognition
system based on MATLAB. A speech recognition technology has been designed and implemented in this work to collect the
speech signals of the spoken English learning system and then filter those speech signals. The method of feature extraction is
based on HMM model, codebook generation, and template training. The research results show that the recognition accuracy of
98% is achieved by the spoken English speech recognition system .
Chen et al. contribute an article titled “Graphic Design Method Based on 3D Virtual Vision Technology.” This paper is
based on the 3D virtual vision and interior design platform. The advancement in the traditional interior design platform has
been made and used for panoramic information combined with 3D virtual vision technology. The recorded data is analysed to
generate the corresponding image workflow for establishing a completely functional interior design platform. The study shows
that interior design platforms can accurately determine the interior landscape position and draw good 3D images .
Wang et al. contribute an article titled “Optimal Allocation and Scale Operation of Agricultural Machinery Based on Mathematical
Planning Method.” In this paper, the nonlinear programming method has been adopted to study the agricultural machinery
operation, optimal allocation, and scale management. This paper investigates the crop planting area, mechanization
level, production situation, and technological process of corn planting mode. The results show that 11.195 million yuan of
maize production value has been optimized in corn production .
Xiaoli Lu and Mohd Asif Shah contribute an article titled “Implementation of Embedded Unspecific Continuous English
Speech Recognition Based on HMM.” In this paper, the basic theoretical research of speech signals, HMM model, speech collection,
recognition, and other methods have been simulated on MATLAB. The research results show that the accuracy of
HMM model experimental recognition can reach 98%, and the speed of speech recognition simulation on an ARM is faster than
speech recognition .
Ke et al. contribute an article titled “An Automatic Instrument Recognition Approach Based on Deep Convolutional Neural
Network.” This paper presents an automatic instrument recognition method, highlighting the deep learning aspect of instrument
identification to advance the automatic process of remote video monitoring of substation equipment. This work utilizes the
Scale Invariant Feature Transform approach (SIFT) and the Gaussian difference model for instrument positioning while proposing
a design scheme of the instrument identification system. The proposed approach is applicable for musical instrument recognition,
and it provides a 92% accuracy rate, 87.5% precision value, and a recall rate of 91.2% .
I hope that the quality research work published in this special issue will serve the concerned science, environment, and
Power dissipation is an integral part of CMOS VLSI circuit design to optimize the battery and externally powered applications
in embedded computing. With advances in new capabilities in related domains, new design mechanisms have evolved for
ASIC, Semicustom, Custom and other classified design flows along with associated verification process targeting optimized
solution based on power, performance and area parameters. Also, the development in low power hardware modeling and design
techniques for high-performance low power applications has become an important area in VLSI and embedded system. The
reduced-swing signaling, clock-powered logic, and stepwise charging techniques are important to design an energy-efficient
system. This special issue on “Recent Trends in Low-Power VLSI and Embedded System” focuses primarily on the design
techniques and algorithms that are presently being developed to reduce power consumption. Though we received numerous
submissions for the thematic issue, we could finally select only seven of them after a rigorous review process. We are immensely
thankful to the reviewers for their timely reviews and also to the authors for their scholarly contributions.
Satnam Kaur contributed an article titled: “A Review on Software Refactoring Opportunity Identification and Sequencing
in Object-oriented Software”. In this article, author reviewed existing approaches which are related to software refactoring
opportunity identification and sequencing .
Simar Preet Singh submitted an article entitled: “Implementation and Performance Analysis of Cognitive Radio with Frequency
Updating Algorithm on Software-defined Radio Platform”. In this article, author discussed implementation of spectrum
sensing using GNU Radio tool for the realization of the concept of cognitive radio that works in a more intelligent way .
Anshu Singla submitted an article entitled: “A Brief Survey of Assessment Models to predict stress level of Heavy Metals
in Soil”. In this article, author provided a study review about the efficient assessment models to predict contamination of soil
due to heavy metal .
Gaurav Dhiman contributed an article entitled: “A Review on Machine-learning Based Code Smell Detection Techniques
in Object-oriented Software System(s). In this study, author identified several areas of open research like the need for code
smell detection techniques using hybrid approaches, the need for employing valid industrial datasets, etc. .
Uma Kumari submitted an article titled: “Fault Detection in Power Distribution”. In this paper, the author presented a novel
identification pattern-based energy fault detector, by leveraging the customers' normal and faulty line. The target of this paper
was to implement a system to monitor the readings and to find the fault in the power line in real time .
The issue will also explore and discuss emerging multi-disciplinary themes to provide a platform in the field of science
Resilient, scalable, and extensible mission-critical networks are used to interconnect data centers, clouds, enterprise, customer
sites, and mobile entities using emerging Information and Communication Technologies (ICT). This thematic special
issue of the Recent Advances in Electrical and Electronic Engineering incorporates nine (9) articles related to the field. A short
review of the commitments for this thematic special issue is as underneath.
1. Tao Xiang contributes an article titled “Sunrays Microcomputer FDDI Optical Fiber Computer Network Security
System Design”. In this article , the authors discussed the design and technology of network adapter,
bridge, network interface card, and a complete set of FDDI for the optical fiber. Using these technologies, authors
can achieve the source address tracking, frame forwarding, and frame format conversion using the proposed methodology.
The proposed methodology is also able to perform multi-input and output function with security to the
2. GE Weiqing and CUI Yanru contribute an article titled “Task-scheduling Algorithm based on Improved Genetic
Algorithm in Cloud Computing Environment.” In this article , the authors proposed a new cloud computing
task scheduling algorithm, which is useful to find task computation time, load balancing, searchability, and
convergence speed. The comparative results show that the proposed algorithm outperforms the existing traditional
Genetic algorithm. It also shows that although the proposed algorithm performs well, it still needs to be explored
for much more improvement in the future.
3. Shaoyu Liang contributes an article titled “Research on the Method and Application of MapReduce in Mobile
Track Big Data Mining.” In this article , the authors proposed a novel approach to enumerate a parallel path
based on map-reduce compression method using two types of mutual crisscross. One is the classified method of
trajectory, and the other is a segment trajectory. The performances of both techniques have been compared and results
show that the parallel method improves the compression with accuracy and eliminates errors completely.
4. Canhui Li contributes an article titled “Research on Enhanced Web Information Processing Technology based
on AIS Text Mining.” The objective of this paper  is to increase the efficiency of web text mining, and therefore
augmented information support (AIS) has been proposed. The performance of the proposed method has been
computed over the Xiangshan science conference website. The results show that the AIS technology can effectively
extract information from a large number of web texts. The proposed system improves information retrieval efficiently
and can provide valuable information to users.
5. Chunyu Liu, Fengrui Mu, and Weilong Zhang contribute an article titled “Cloud Computing Demand Elasticity
Algorithm based on Ant Colony Algorithm.” This article  proposed the improved ant colony algorithm,
which considers the price factor based on the theory of elasticity of demand. The improved algorithm can balance
the network load, extension in life, and reduction in risk of the network. Also, results show that the proposed algorithm
improved network efficiency and network operating profit.
6. Fengrui Mu and Chunyu Liu contribute an article titled “Design and Research of Intelligent Logistics Robot
based on STM32”. In this paper , the mechanical structure has been designed for the logistic robot with hardware
and software. The experimental results show that the transportation and storage of materials in specific sites are wellrealized.
The grasping and releasing accuracy and the positioning accuracy of the robot are relatively reliable.
7. Kuang Yuejuan, Luo Zhuojun, and Ouyang Weihao contribute an article titled “Task Scheduling Algorithm
Based on Reliability Perception in Cloud Computing”. In this article , the authors proposed a scheduling
model based on reliability for the reduction in fault time of the application. The model incorporates the two -
parameter Weibull distribution and analysis of the relation between parallel tasks. This model also incorporates the
particle swarm optimization (PSO). The simulation results show that the proposed model reliability has been
increased with little increase in computation time.
8. Qin Qin contributes an article titled “Development and Realization of a Computer Monitoring System Based
on a Power Network”. This article  presents data acquisition technology based on the multi-thread mechanism
of data collection technology. The online real-time diagnosis of the current operating state for the power system is
realized, and its importance is highlighted.
9. Zheng Xiao contributes an article titled “Design of Automatic Recharging System of Robot Based on RFID
Radio Frequency Technology”. The present paper  proposed a mobile robot attitude calculation and debugging
system based on radio frequency (RF) technology to study the interference. Microcontroller STM32 is used as the
control core for the attitude information of the robot using wireless transmission. The comparative results show
that the proposed method exhibits better positioning accuracy than±5mm. It is also concluded that using RF technology,
the reliability and real-time performance are increased over the wired transmission.
We hope that the quality research work published in this special issue will be able to serve the concerned humanity, science,
A computer information processor processes data to create clear and predictable results. The processing may include the acquisition,
recording, assembly, retrieval, or dissemination of information. For example, in printing a text file, an information
processor assigns to translate and present the digital information for a printed form.
The businesses and governments seek to be able to process a large amount of information since decades ago. Those data
were obtained from the statistical or calculated information. The desire to travel into space further fueled the need to process
massive data and the information processing revolution gained more momentum. The 21st century has seen an explosion of
data and the amount of information processed every day has been rocketing. in ascending order of numbers and millions of
software applications. Trillions of information bytes are processed every minute by hundreds of satellites, millions of software
applications, and billions of devices.. Information processing is still rapidly evolving since growing systems and diversified
ownerships are creating an increasing amount of globally processed information.
In this special issue, we present 10 papers to bridge the gap between measurement and optimization technologies and complex
electronic systems. The objective of this special issue is to bring together novel research on 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, “An UHF Compact Complex Impedance-Transforming Balun with High Isolation” by
K. Nithiporndecha and C. Pakasir, presents coupled-line structure that provides all ports matched with high isolation at the output
ports. The lumped component transformation is given for minimizing the circuit size .
The second paper of this special issue, “Rigid motion artifact reduction in CT using phase correlation method” by Y. Zhang,
L. Zhang, and Y. Sun presents a method based on phase correlation that was proposed and it can be used for rigid motion artifact
reduction in fan CT. This method can estimate the rigid motion through the phase correlation of projection data in Radon
domain and compensate this motion in reconstruction .
The third paper of this special issue, “A High Performance of Three-motor Drive System” by C. Shen, and H. Yang aims at
the characteristics of multi-variable, nonlinear and strong-coupling of three-motor drive system, a new strategy of first order
auto disturbance rejection control is applied in three-motor drive system  .
The fourth paper of this special issue, “Water Boundary Line Detection for Unmanned Surface Vehicles” by Y. Liu, L. Ma,
W. Xie, X. Zhang and Y. Zhang, proposes a method that can effectively eliminate the influence of the highlighted area in the
image by preprocessing. Second, the detection result of the proposed method is better in accuracy than the existing methods,
and it has good real-time performance .
The fifth paper of this special issue, “SVM Ensemble Based Noise Detection Method for Image Denoising” by X. Jia, C.
Wang, Y. Guo, B. Zhao and Y. Huang, proposes a noise detection scheme for image denoising that uses SVM ensemble to distinguish
between noise and signal points. Extracting the local binary feature and the weighted difference feature of the central pixel in the
3×3 window can represent the image information very well, and use it as the input eigenvector of the sample, corresponding to the 0
or 1 classification flag as the output to form the training sample set .
The sixth paper of this special issue, “Fast and accurate hop-based Positioning based on anchor-skeleton for anisotropic
networks” is submitted by R. Dou, and W. Shi. The hop-based positioning problem is framed as a regression prediction problem,
and the AF-HP algorithm is proposed. The basic idea of this algorithm is to train a skeleton model through the hopsdistance
mapping relationship between the anchor nodes, so that the algorithm can be robust in the presence of network anisotropy
The seventh paper of this special issue,” An Effective Congestion Control Algorithm based on Traffic Assignment and Reassignment
in Wireless Sensor Network” submitted by C. Wang explains that ICTA & ECDM algorithms are proposed for
congestion in the network, which can realize congestion avoidance, detection and mitigation in the network .
The eight paper of this special issue, “Joint Local Voting for Accurate Linear Object Feature Extraction” by H. Xu, L. Li, F.
Zhang and F. Fu, presents a method combined with sliding window to detect the target image also has many advantages which
parameters are easy to adjust and optimize, and the efficiency is higher in local detection .
The ninth paper of this special issue, “A Novel Two-Phase Soft Starter Used in Three-Phase” by J. Chen, and H. Dang, proposes
a novel soft starter structure using fully-controlled IGBTs. It only needs two phases as the input, and each phase only has
one IGBT and four diodes, forming a power module .
The tenth paper of this special issue, “Cross-provincial cross-region power trading optimization modeling” by J. Chen, Y.
Xiao, H. Dang, and R. Zhan dedicates to optimize the electrical power allocation across provinces or regions, which can maximize
social benefits. A power trading model, including load forecasting, data reporting and path optimization for transaction is proposed
I would like to dedicate this special issue to the hard work and continuous dedication of all academics and researchers
around the world in the respective area of research.
Wireless Sensor networks (WSNs) can connect the physical world and the cyberspace, which create an environment for
growing new smart applications. However, WSNs need better resilience as they may be deployed in failure-prone environments,
and WSN nodes easily fail due to unreliable wireless connections, malicious attacks and resource-constrained features.
This thematic special issue of the Recent Advances in Electrical and Electronic Engineering incorporates thirteen (13) articles.
A short review about the commitments for this thematic special issue is as follows:
1. Abdul Quadir Md and Vijayakumar V contributed an article titled “Combined Preference Ranking Algorithm for Comparing
and Initial Ranking of Cloud Services”. In this article, the authors proposed an efficient Combined Preference Ranking
Algorithm (CPRA). CPRA ranks and retrieves the list of best cloud service providers and their services amidst 1000 CSPs
with minimal execution time. CPRA accuracy list of retrieved CSPs is extended because it takes into account CCs preferences
while ranking the CSPs.
2. Vandana Mohindru, Yashwant Singh and Ravindara Bhatt contributed an article titled “Hybrid Cryptography Algorithm
for Securing Wireless Sensor Networks from Node Clone Attack”. In this article, the authors proposed enhanced security
measures for securing sensor nodes as well as ensuring secure transmission of information. The proposed algorithm uses a
combination of symmetric (AES) and asymmetric (ECC) cryptography techniques along with the hash function. Furthermore,
the proposed algorithm checks the integrity of messages during communication in the sensor network and provides
a secure and efficient solution to the energy inhibiting sensor networks.
3. Gaurav Khanna, Sanjay Kumar Chaturvedi and SieTeng Soh contributed an article titled “Two-terminal Reliability Analysis
for Time-evolving and Predictable Delay-tolerant Networks”. In this article, the authors proposed a novel approach to
enumerate both TS-MPS and TS-MCS of a dynamic network, thereby computing the 2TR of such networks. The proposed
technique converts the time aggregated graph model of a dynamic network into a Line Graph (LG) while maintaining the
time-varying graph’s node reachability information. This LG is used thereafter to generate TS-MCS as well as TS-MPS to
compute 2TR of the network.
4. Hradesh Kumar and Pradeep Kumar Singh contributed an article titled “Network Lifetime and Throughput Analysis in
Wireless Sensor Networks Using Fuzzy Logic”. The objective of this paper was to increase the network lifetime and
throughput of the wireless sensor network. The fuzzy logic approach was used to improve the network lifetime and
throughput. Proposed approaches gave better results as compared to existing approaches such as Low Energy Fuzzy Based
Unequal Clustering Multi-hop Architecture (LEFUCMA) and Low Energy Adaptive Unequal Clustering Using Fuzzy CMeans
5. Pardeep Kaur, Preeti Singh and B.S. Sohi contributed an article titled “Traffic Models for Energy Harvesting Based Wireless
Sensor Networks”. This article dealt with the traffic analysis and modeling in Wireless Sensor Networks (WSN). In
this paper, traffic models appropriate for the energy harvesting based system were analyzed and their performance was
evaluated for a solar-based MAC protocol known as HM-RIMAC. Poisson, Pareto, Weibull and ON/Off model were used
in this work to enhance the network performance. The proposed work was found to be perfectly fit for protocols with
fixed listen and sleep period.
6. Kabo Onesmo Mabusha and Pradeep Kumar contributed an article titled “A Rectangular Microstrip Patch Antenna for
Dual Band Wireless Applications”. In this paper, the design of a dual-band microstrip patch antenna with operating
frequencies of 2.16 GHz and 2.79 GHz was proposed. The proposed antenna design is based on the defected ground
structure and rectangular patch with corner cuts. The presented antenna structure was simulated and optimized using the
CST microwave studio software. The antenna resonated at 2.16 GHz and 2.79 GHz. The bandwidth of the proposed
antenna was 2.08 GHz-2.25 GHz at center frequency 2.16 GHz and 2.7 GHz-2.87 GHz at center frequency 2.79 GHz. The
optimized antenna model was fabricated and measured which was found suitable for dual-band wireless applications.
7. Swati Bhalaik, Ashutosh Sharma, Rajiv Kumar and Neeru Sharma contributed an article titled “Performance Modeling
and Analysis of WDM Optical Networks under Wavelength Continuity Constraint using MILP”. In this article, the authors
found an optimal path between two end-users and allocated an available wavelength to the chosen path for the successful
data transmission. The comparative results of the proposed and existing mathematical models showed that the proposed
algorithm outperformed in terms of various performance parameters. Finally, it was concluded that network congestion
was reduced marginally in the overall performance of the network.
8. Amit Sharma and Pradeep Kumar Singh contributed an article titled “Taxonomy on Localization Issues and Challenges in
Wireless Sensor Networks”. This article presented the classification of various localization algorithms and comparison of
different localization algorithms aiming to know their limitations, benefits, network lifetime and their cost. Additionally,
this paper also focused on problems occuring in these localization techniques.
9. Ekbal Rashid and Mohd Dilshad Ansari contributed an article titled “Fixing the bugs in software projects from Software
Repositories for Improvisation of Quality”. The present paper discussed the relationship between bugs being reported and
bugs being closed by introducing a new parameter bug closing rate for the improvement of quality; and this was the novelty
of the paper. The research mainly dealt with the problem of finding the relationship of collaborative growth with the
quality of software.
10. Amit Prakash, Dilip Kumar Yadav and Arvind Choubey contributed an article titled “A Survey of Multistage Interconnection
Networks”. This paper was an an extensive survey of multistage interconnection networks. A broad classification of
multistage interconnection networks based on network functionality, reliability and fault tolerance was presented in order
to emphasize the important principles which differentiate between the network architectures. The various multistage interconnection
network designs provided high performance, availability, throughput, lower latency, less power consumption
along with improved fault-tolerance and reliability. However, there is a rising demand for new fault-tolerant and reliable
multistage interconnection networks.
11. Ramanpreet Kaur, Bikrampal Kaur and Ruchi Pasricha contributed an article titled “A Study of Wireless Body Area Networks
and its Routing Protocols for Healthcare Environment”. The aim of this paper was to present an essential depiction
of WBAN development in medical and non- medical applications. It was found that QoS aware protocols were employed
specifically for critical applications. While if we consider radiation imparted from the sensors and tissue protection of the
human body, the thermal aware routing protocol was found to be the solution. Another important conclusion of this paper
is that the various protocols do not provide an optimal solution for selecting the forward node during routing and this solution
primarily depends on residual energy of the nodes and distance of the node from the sink.
12. Dinesh Kumar, Ashutosh Sharma, Rajiv Kumar and Neeru Sharma contributed an article titled “A Holistic Survey on Disaster
and Disruption in Optical Communication Network”. This paper provided a review of optical fiber communications
and also showed the different types of disasters and different protection schemes, and how to combat these disasters. Significant
improvement in optical communication network survivability was achieved using proposed protection scheme in
the event of major earthquake, cloud burst and landslides. A large amount of data could be lost even if there is a very short
disruption in the optical backbone network.
13. Narina Thakur, Deepti Mehrotra, Abhay Bansal and Manju Bala contributed an article titled “Simulation and Performance
Analysis of Tilted Time Window and Support Vector Machine based Learning Object Ranking Method”. This paper proposed
and implemented the Learning Objectives (LO) ranking and retrieval algorithm based on the Tilted Time window
and the Support Vector Machine utilizing both the methods. The proposed model was implemented for the NCBI data-set
and MAT Lab. The experiments were carried out on the NCBI dataset, and LO weights were assigned to be relevant and
non - relevant for a given user query according to the Tilted Time series and the Cosine similarity score. Results showed
that the proposed model has much better accuracy.
We hope that the quality research work published in this special issue will be able to serve the concerned humanity, science
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.
No Text Found