International Journal of Electrical & Electronics Research (IJEER)

FP-IJEER is an open access peer-reviewed journal devoted to publishing cutting-edge research which provides an international forum for the dissemination of the latest original research, achievements and developments in all areas of electrical and electronic engineering.

The International Journal of Electrical & Electronics Research (IJEER) is a Scopus indexed open access, peer reviwed journal which publishes original research papers, review papers, short communications, technical notes, case reports, book reviews and conference reports. Electrical and Electronic systems is the branch of engineering and technology dealing with electrical circuits that involve active electrical components such as vacuum tubes, transistors, diodes and integrated circuits, and associated passive interconnection technologies. The scope of journal encompasses Electrical engineering, Wireless communication systems, Biosensors & actuators, Non-linear microscopy & ultrafast spectroscopy, Microelectronics & nanoelectronics, Computational electromagnetics, Power electronics and Electric drives, Network theory, Protection devices, Electrical machines and many more.

Under the norms of open access, the contents of the Journal of Electrical & Electronics Research can be transmitted and shared through the online medium to facilitate quick dissemination of research. The journal reports about the latest findings in the domain in the form of articles submitted by research authors. A comprehensive peer review process ensures the published articles are in line with open access publishing standards and comprised of genuine research article or case reports. The respective tracking system helps editors and reviewers through the handling process.

It is an online manuscript submission, review systems. Review processing is performed by the editorial board members of Journal of Electrical & Electronics Research (IJEER) or outside experts; at least two independent reviewers approval followed by editor approval is required for acceptance of any citable manuscript. Authors may submit manuscripts and track their progress through the system, hopefully to publication. Reviewers can download manuscripts and submit their opinions to the editor. Editors can manage the whole submission/review/revise/publish process.

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Direct digital control scheme for controlling hybrid dynamic systems using ANN state estimator and inverse dynamics controller

Xiao Laui, Rui-Lain Chua

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Adjustable Spectral Characteristics to Design FIR Filter Using Two-Variable Window Function

Juhi Khan Afridi, Awadhesh Gupta and Vandana Vikas Thakre

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Development of an Improved Model for Assessment of Hot Spot Temperature of Current Transformers

Ajeeta Singh Bhadoria, Vandana Vikas Thakre

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Call for research papers - IJEER

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Special issues on

This special issue will provide a common platform for academicians, researchers and professional experts to discuss major issues and novel research in the sensors. Real time embedded systems are quickly achieving ubiquity, both in people’s everyday life and in industrial environments. Real time sensing interfaces, processing, specific operating system support. Real time sensors, sensing techniques, real time low power and low cost sensing. Areas of application include factory, automation, structural health monitoring, pipeline behavior, wind generation operation, environment monitoring, power management and assets monitoring. Although wireless sensors networks have been proposed, studied and developed for more than a decade, many challenging issues remain especially in various industrial scenarios. Recent technology advances in micro-electromechanical systems (MEMS), embedded, processors and wireless communication have led to the development of wireless sensor networks.

5G has introduced many techniques to support very large variability of communication needs (from enhanced mobile broadband, to mission-critical control, to massive Internet of Things). Yet, VR/AR/XR are still challenging to 5G because VR/AR/XR require strict end-to-end low latency, however, ultra-low latency as low as 1 millisecond in 5G air interface cannot guarantee the end-2-end delay sensitive service requirement, and it will make the user feel dizzy in the VR/AR/XR experience. Solutions and techniques to reduce the end-2-end latency is strongly needed, e.g. mobile edge content caching/delivery at RAN (mobile CDN), transport network optimization. For the mobile edge content delivery, security issue and mobility issue need to be further studies. Moreover, 5G QoS provisioning is semi-static and is constant along lifetime of the session. However, the data burst of the most promising service such as VR/AR/XR is very high and traffic throughput demand may variant very dramatically. The dynamic can be caused by user interaction, e.g. video refresh, VR helmet or handle interactions. More real-time service prioritization in RAN is required to adapt more quickly to the application layer traffic to avoid a stalling of video, e.g application service type and traffic model can be aware by RAN with some cross-layer optimization or machine learning method. On the other hand, if app layer is aware of radio signal situation and transport network status, app layer can also make some adaption to the fast-changing radio network, e.g by throughput predication via machine learning.
Microgrids have emerged as a promising solution to accommodate the integration of renewable energy resources. However, the fluctuating outputs from renewable energy resources and variable power demand have posed many challenges such as voltage/frequency fluctuations. Meanwhile, with the increasing penetration of renewable energy resources and the associated electronic interfaces, the development of high-performance control strategies has attracted much attention in global academic and industry communities. So far, conventional control methods such as linear feedback control still lack sufficient control flexibility and intelligence to handle these fluctuations, resulting in stability problems and power quality issues. On the other hand, the advanced control strategies, i.e., predictive control and sliding mode control, have been very successful in power electronic converters and complex systems, such as electric machines. For predictive control, due to its fast-transient response and flexibility in considering different constraints, it shows huge potentials in microgrid applications. For sliding mode control, based on the mature theoretical framework, practical designs of sliding mode control are particularly suitable for the purpose of controlling power converters under various operating conditions of varied, nonlinear, and unpredictable renewable energy systems in microgrids.