ISSN (Print): 2352-0965
ISSN (Online): 2352-0973
Volume 11, 3 Issues, 2018
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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.)
18 Abstract Ahead of Print are available electronically
66 Articles Ahead of Print are available electronically
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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