Innovations in Biomedical Engineering: Advancing Healthcare Devices on Recent Technology
Flood Detection and Monitoring using Arduino Based Sensor Technology
Automatic Lower Limb Rehabilitation Device
Heart Rate Variability-Based Detection of Driver Drowsiness and its Validation using EEG
IoT-Enabled Smart Shoes for the Blind
Biosensors for Early Diagnosis and Automated Drug Delivery in Pancreatic Cancer
Verilog Based UART System Design
IoT based Smart Agriculture Monitoring Framework with Automation
Intel ® Processor Architectural and Integrated Development Environment Exploration
An Integrated Model of Digital Fuel Indicator and GPS Tracking System for Vehicles
Designing of an Embedded system for Wireless Sensor Network for Hazardous Gas leakage control for industrial Application
Hardware Implementation of Artificial Neural Networks
Fault Analysis on Grid Connected MPPT BasedPhotovoltaic System
High Efficiency Hybrid Intelligent Street Lighting Using A Zigbee Network And Sensors
Design of Dual-Band Bandpass Filter Using Interdigital Embedded Open Loop Triangular Resonator Loaded with Stubs
License Plate Localization Using Novel Recursive Algorithm And Pixel Count Method
This paper investigates the application of Unscented Kalman Filter (UKF) for Induction Motor (IM) sensorless drives. UKF's use nonlinear Unscented Transforms (UT) in the prediction step in order to preserve the stochastic characteristics of a nonlinear system. The advantage of using Uts is their ability to capture the nonlinear behavior of the system, unlike extended Kalman filters that use linearized models. Four original variants of the UKF for IM state estimation, based on different UTs are described, analyzed, and compared. The four transforms are basic, general, simplex, and spherical UTs. This paper discusses the theoretical aspects and implementation details of the four UKFs. It is concluded that the UKF is a viable and powerful tool for IM state estimation and that basic and general UTs give more accurate results than simplex and spherical UTs.
Small wind turbines have been installed in urban and turbulent locations with surprisingly poor performance and this has been backed up by data from a trial at the Dublin Institute of Technology. In order to develop the small wind turbine industry, a careful examination of assessment methods for the wind resource is required. Small wind turbines are connected in parallel with the grid use inverters. As the wind turbine is not always at max output, a Weighted Average Efficiency for wind inverters is proposed. Pitfalls associated with developing an accurate weighted average efficiency for an inverter are identified and this will enable a more accurate sizing of the inverter for the turbine. The methodology for determining the performance of inverters and small wind turbines can be applied to any location.
In this paper, a method is proposed to identify the dynamic behavior of a power system using Genetic algorithm. The various coefficients obtained from GA global optimization problem are given as an input to the controller block. Optimal supplementary damping controller design for Thyristor Controlled Series Compensator (TCSC) is presented in this paper. The parameters are obtained through the genetic algorithm. The effectiveness and robustness of the proposed approach over a wide range of loading is tested under various conditions and disturbances. Frequency stability and power flow are major concerns in any power system. In this paper the authors designed and simulated an PSS using TCSC with the time constants optimized by Genetic algorithm. The general system is composed of a three phase utility source, step up and step down transformers, a transmission line and some linear, non-linear, motor loading. In general, the voltages, currents and power are measured in order to analyze the voltage stability and power flow.
This paper presents the experimental results of a low cost inverter for solar systems based on embedded EZ-source concept. Compared to the traditional Z-Source Inverter (ZSI), embedded EZ-Source Inverter (EZSI) provides implicit source current or voltage filtering. EZSI can also produce the same gain as ZSI but with smoother and smaller current or voltage maintained across the input and within the impedance network. These additional features are obtained without requiring additional second order filters and therefore reducing the system cost and capacitor voltage rating. These advantages are significant for applications like photovoltaic and wind electric systems. Operational analysis of EZSI in shoot-through and non-shoot-through mode are described. A design example of EZSI module for 300 W PV panel with output voltage range of 30V-60V is also presented .A prototype is built to verify the proposed system. Simulation and experimental results prove the validity of the analytical model.
This paper explain the basic idea to build a human machine interface which can be used to control mouse using headtilt [8,7] and eye-blink [1]. This mouse-emulating device can be found to be most useful for physically handicapped people who can no longer control the computers using their hands [5]. Since the device relies on user's head and eye movement, it can be used even by patient who are paralyzed from shoulder downward. Simple head movement doesn't require too much energy and neither does eye blinking [3]. Therefore user won't get tired from using this device. In this device or goggle the author used 2D-accelerometer [6] for detecting the movement of the head according to which, the movement of the cursor has been done [2]. A photo sensor detects eye blinking [4]. The Infrared transceiver consists of a 935nm IR transmitter and a phototransistor is mounted on the same unit. This detects a strong increase in the reflected signal upon intentional long blink as compared to normal eye blink.
