International Conference and Exposition on Electrical and Power Engineering 

About: International Conference and Exposition on Electrical and Power Engineering is an academic conference. The conference publishes majorly in the area(s): Electric power system & Photovoltaic system. Over the lifetime, 899 publications have been published by the conference receiving 3340 citations.

Adopting the Internet of Things technologies in health care systems

Abstract: Internet of Things based health care systems play a significant role in Information and Communication Technologies and has contribution in development of medical information systems. The developing of IoT-based health care systems must ensure and increase the safety of patients, the quality of life and other health care activities. The tracking, tracing and monitoring of patients and health care actors activities are challenging research directions. In this paper we propose a general architecture of a health care system for monitoring of patients at risk in smart Intensive Care Units. The system advices and alerts in real time the doctors/medical assistants about the changing of vital parameters or the movement of the patients and also about important changes in environmental parameters, in order to take preventive measures.

Multiphase electrical machines and drives: A viable solution for energy generation and transportation electrification

Abstract: Multiphase drives are convenient for high power/high current applications as they allow the reduction of the phase current for given rated power and phase voltage. In addition, they possess inherent fault-tolerant capability due to their redundant structure. Therefore, the multiphase drives represent a promising solution for safety-critical applications, such electrical ship propulsion, railway traction, Hybrid/Electrical Vehicles (HEV/EV), wind power generation, More Electric Engine (MEE) and More Electric Aircraft (MEA) applications. Moreover, the additional “degrees of freedom” can be exploited for integrated battery chargers. Although the literature reports many machine design solutions and control techniques for multiphase drives, the penetration of the multiphase solutions in transportation electrification and energy production is still too limited. For this reason, the paper contains a brief overview of the multiphase solutions for transportation electrification and energy production. In addition, the paper includes a generic modeling approach of multi-three-phase machines that can be used when the multiphase drive is treated as modular independent three-phase units. Experimental results are provided for a reduced scale prototype of a twelve-phase multiphase induction motor drive using a control scheme based on the multi-three phase approach.

Mental stress detection using heart rate variability and morphologic variability of EeG signals

Abstract: Mental stress is one of the major risk factors for many diseases such as hypertension, coronary artery disease, heart attack, stroke, even sudden death. Conventionally, interviews, questionnaires or behavior observation are used to detect mental stress in an individual. In our study, we have investigated objective characteristics, like various short term heart rate variability (HRV) measures and morphologic variability (MV) of ECG signals for detecting mental stress. A number of HRV measures were investigated, both in time domain and frequency domain. Experiments involved 16 recordings of ECG signals during mental stress state and normal state, included in a multi-parameter data base on physionet.org portal. Results revealed that the HRV measures named mHR, mRR, normalized VLF/LF/HF, difference between normalized LF and normalized HF, and SVI are effective metrics for mental stress detection. Better results were obtained by using MV analysis and a decision-support module based on both methods, HRV and MV.

Optimal tuning and placement of Power System Stabilizer using Particle Swarm Optimization algorithm

Abstract: The main objective of this paper is the enhancement of power system stability by optimal tuning and placement of Power System Stabilizer (PSS) using evolutionary algorithms (Particle Swarm Optimization — PSO). In this approach, Matlab and DigSILENT are employed and linked together in a genuine automatic data exchange procedure. Consequently, the test system and the controllers are modeled in DigSILENT and the PSO algorithm is implemented in Matlab. For evaluating the particles evolution throughout the searching process, an eigenvalue-based multi-objective function is used. The performance of the proposed PSO based PSS test system in damping power system oscillations is proved through eigenvalue analysis and time-domain simulations.

Faster R-CNN:an Approach to Real-Time Object Detection

Abstract: The objective of the paper is to present an example on how to use the latest image processing algorithms to detect traffic indicators safely enough to be used while driving a car. The conclusion of the paper is that the Faster Regional based Convolutional Neural Network (Faster R-CNN) algorithm has qualities in terms of accuracy and speed that make it suitable to be used in such applications. Faster R-CNN is a result of merging Region Proposal Network (RPN) and Fast-RCNN algorithms into a single network. For increasing the video processing power, a Graphics Processing Unit (GPU) was employed for training and testing at a speed of 15 fps on a dataset containing 3000 images for 4 classes. The dataset is composed of images containing the three phases of a traffic light and the STOP indicator.