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Increasing environmental pollutions, lack of power in remote places and demand for more energy makes us to seek new energy sources. Wind and solar hybrid energy have being popular ones owing to abundant, complement nature, ease of availability and convertibility to the electric energy. For hybridizing solar-wind system DC-AC or separate DC-DC converters are used one for each source. They will be connected...
In order to estimate the attitude angle accurately, improve the accuracy of attitude and heading reference system(AHRS), aiming at larger errors of extended Kalman filter(EKF) in estimating attitude angle, a method based on iterative LM-CDKF algorithm has been proposed to estimate the attitude angle. In the paper, iterative filtering theory and Levenberg-Marquardt method is introduced into the central...
In order to estimate the accurate and real-time dynamic battery state of charge (SOC), owing to greater errors of extended Kalman filter (EKF) in estimating SOC, a method has been proposed to estimate the battery SOC based on LM-ICDKF algorithm. By using the two order RC equivalent circuit model, the MATLAB simulation tools are used to simulate the algorithm, this paper compares LM-ICDKF algorithm...
Flapping Wings MAV (FWMAV) is the result of UAV technology development with the mechanism of flapping wings and with the dimensions of the object as small as possible. Modeling of FWMAV dynamics is needed to predict future conditions based on information from current conditions and designed control actions. Modeling of the FWMAV system is done by system identification, based on measurable data from...
The article proposes a method for estimating the shaft position of a synchronous motor with permanent magnets for the zero and very low speed range. Presented method involves a comparison of obtained shape of current hodograph to the reference pattern using the principal component analysis. The method is based on an analyzing of the high frequency currents, which are excited by high frequency additional...
Inference and Estimation in Missing Information (MI) scenarios are important topics in Statistical Learning Theory and Machine Learning (ML). In ML literature, attempts have been made to enhance prediction through precise feature selection methods. In sparse linear models, LASSO is well-known in extracting the desired support of the signal and resisting against noisy systems. When sparse models are...
Accurately and fast detection of weight of objects has an important place for lots of academic and industrial application at the present time. In this work, it was aimed to estimate weight of eggs in a distance independent manner using image processing and artificial neural networks (ANN). The constituted system consists of a camera, artificial lighting system, reflector and reference image. Object...
In this paper, we first form a sensor using low power and low cost components, that is, MSP430G2553 microcontroller, nRF24L01+ communication unit, and a Light Dependent Resistor (LDR). Then, by communicating such sensors with a Fusion Center (FC), we form a Wireless Sensor Network (WSN). Sensors measure the light intensities at their locations and send their measurements to the FC. Then, FC forwards...
In this study, it is aimed to find the position of a signal emitter by the means of a mini unmanned aerial vehicle (mUAV) with a sensor node that can record the received signal strength (RSS) and the global positioning system (GPS) data. The RSS and GPS data are instantaneously transferred to the central node in order to establish a real-time positioning and tracking system. A cumulative maximum likelihood...
Low sucrose concentrations in solutions is estimated by means of localized surface plasmon resonance of immobilized gold nanoparticles. The ultraviolet-visible spectra (UV-Vis) of samples with different sucrose concentrations were prepared and used to train artificial neural networks. In our study, MATLAB Neural Networks Toolbox was used and effect of different input sizes and network structures on...
In this paper a new technique with 4 switches inverter for BLDC motor control in constant torque region is proposed. Using this method, prices and losses is reduced. The proposed direct power control has fast dynamic response and easy implementation. The feasibility of the proposed control method is developed and analyzed using MATLAB/SIMULINK. The results verify the effectiveness of the proposed...
This paper presents the implementation and deployment of a compute/memory intensive non-parametric Bayesian machine learning algorithm on a microcontroller unit (MCU) to estimate room occupancy in a Smart Room using a single analogue PIR sensor. We envisage an IoT device consisting of a resource-constrained MCU, PIR sensor and a battery running the occupancy estimation algorithm and operating over...
An adequate drug dosage is often difficult to be achieved in personalized medicine. Especially for critical application, such as anesthesia. To reach the right dose adjustment, electrochemical biosensors can be used to measure the actual concentration of the drug in the patient's blood. Normally, since many drugs have to be measured simultaneously, Cyclic Voltammetry (CV) is the most convenient electrochemical...
Wireless Capsule Endoscopy (WCE) has emerged as a popular non-invasive imaging tool for inspection of human Gastrointestinal (GI) tract. In order to identify the location of an anomaly or intestinal disease, the physicians need to know the exact location of the endoscopic capsule which influences the treatment plan. In this paper, we present a displacement estimation technique based on feature point...
This paper defines a method of determining the direction of arrival of signals using RBFNN (Radial Basis Function Neural Network), based on data obtained by the automated acquisition, optimization and processing of received signals from the linear antenna array composed of two elements, implemented in Matlab.
The methodology of computer simulation of volt-ampere and volt-watt characteristics of solar modules at several panel elements shading is considered in the paper. The model developed in program complex Matlab/Simulink provides estimating of decrease of the useful power generated by a solar module at shading an element or a group of elements in a module. The graphs of power decrease in a module against...
An objective blur measure is crucial for a variety of image processing applications. Traditional researches concentrate on a model estimating the amount of spatial high frequency. However, human vision detects blurriness might be influenced by the texture of image contents. To address the important issue, this paper presents a new objective metric designed as both measuring the inherent smooth texture...
We investigate power dissipation/performance trade-off in a 28nm ASIC implementation of a parallel dynamic equalizer. Over 50% dissipation improvement is possible by sample pruning during filter updates, with only minor tracking-performance reduction.
Visual analysis of fetal heart rate (FHR) during labor is subject to inter- and intra-observer variability that is particularly troublesome for anomalous recordings. Automatic FHR analysis has been proposed as a promising way to reduce this variability. The major difficulty with automatic analysis is to determine the baseline from which accelerations and decelerations will be detected. Eleven methods...
This paper analyses the effectiveness of voltage estimations used as a new control logic for a traditional 110/20kV Medium Voltage (MV) On-Load Tap Changing (OLTC) transformer in order to regulate over-voltages in a residential Low Voltage (LV) network. This study is carried out on a radial distribution feeder modelled in MATLAB and simulations are run for 24 hour periods. A number of cases were tested...
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