The present volume collects the selected papers of the First International
Conference on Electrical Engineering (Tehran, Iran, 2017). The proceedings are
aimed at addressing problems and topics of concern in all the subbranches of
Electrical Engineering by bringing the recent advancements in the field to the
attention of the experts; such a general conference in the field can also make the
possibility of developing multidisciplinary collaborations and approaches. It is a
suitable platform to share the recent findings without making any restriction on the
topics. Hope that this proceeding can benefit graduate students, and also researchers
in the field.
The first part of the present proceedings volume collects the selected papers on
Biomedical Engineering. Topics like contrast enhancement of ultrasound images,
mammography, wireless sensor networks, speech recognition, and disease diagnosis have been covered in the first part. The second part is on Control Engineering that presents topics like vibration control, circuit design for controlling automatic gain, nonlinear predictive control, and manipulators controlling in robots. The third
part of this volume has been devoted to Electronics Engineering—this section
covers optofluidic materials, time series prediction, robot speech control, ionization
vacuum gauges with COMSOL, acetone sensing, LUT design, etc. The fourth part
is about Power Engineering, and includes the papers that cover topics like photovoltaic solar cells, pumped-storage power stations, optimal capacitors in distribution networks, wind turbines, phase balancing in distribution networks,
microelectromechanical switches in smart grids, axial-flux permanent-magnet
machines, voltage stability enhancement, etc. Then the present volume ends with
the selected papers on Telecommunication that covers topics like cloud environment, node clustering in wireless systems, electrostatics MEMS switches, microstrip antenna, distribution network reconfiguration, machine learning algorithms, security of Internet of Things, data reduction, q-learning, networks’ deadlock
detection methods, etc.