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We propose a Particle Filter framework to perform online estimation for an unsaturated buffer of the stations in the Machine to Machine (M2M) WiFi network. The dynamical variation of the traffic affects the performance severely in the M2M WiFi network. The exist researches for analyzing the unsaturated condition in the network is based on the steady-state model, whereas this proposed method is devoted...
Surface electromyographic (EMG) signals have often been used in estimating upper and lower limb dynamics and kinematics for the purpose of controlling robotic devices such as robot prosthesis and finger exoskeletons. However, in estimating multiple and a high number of degrees-of-freedom (DOF) kinematics from EMG, output DOFs are usually estimated independently. In this study, we estimate finger joint...
The main purpose of the presented study is to examine the usability of a Wavelet Neural Network (WNN) model for soil moisture estimation. In this study, the wavelet transformations and neural networks have been employed to estimate the daily soil moisture. Collected data have been decomposed into wavelet sub-time series using Discrete Wavelet Transformation (DWT) with Haar mother wavelets. The sub-time...
To know in advance the value of solar radiation is an advantage in order to obtain solar energy. This paper proposes the design and implementation of solar radiation modelling for the estimation of the solar energy generation, based on different series of data collected from meteorological stations in Gran Canaria and Tenerife (Canary Islands, Spain), helping to generate green energy from sun by the...
This paper details an improved method in the 2014 PHM Data Challenge which was organized by the IEEE Reliability Society. The task is to estimate the State of Health (SoH) of a proton exchange membrane fuel cell (PEMFC) system using performance data. The estimation of SoH is a key technique to improve fuel cell system's life span and reliability. This method bases on the similarity relationship in...
In this research, we propose a methodology for getting joint angles by Kinect sensor for rehabilitation evaluation support. We measure the motion of the arm of a patient with hemiplegia before and after the rehabilitation, and estimate the range of the motion by using genetic algorithm and neural network. The range after the rehabilitation is bigger than before the rehabilitation. Based on this result,...
This paper discusses robot partner interaction based on Frankl's psychology to encourage a person act voluntarily. Recently, elderly people who live alone in a room is increased. But, it is hoped that the elderly people keep good health. To keep good health for elderly people, a person should act voluntarily and get involved in community events. In Frankl's psychology insists that the meaning of life...
This paper proposes the design and implementation of wind speed modelling for the estimation of the wind energy generation, based on different series of data collected from meteorological stations at the Gran Canaria Airport and Tenerife Sur Airport (Canary Islands, Spain), that helps to generate green energy from wind by the estimation of wind speed. The classification method applied, in order to...
A robust sliding mode observer (SMO) based on a radial basis function (RBF) neural network (NN) is presented for battery state of charge (SOC) estimation. Comparing with an ordinary SMO for the SOC estimation, the robust SMO employs the RBF NN to learn the upper bound of system uncertainties caused by the discrepancy between a battery equivalent circuit model (BECM) and a battery. The output of the...
Building Energy Management Systems (BEMSs) are responsible for maintaining indoor environment by controlling Heating Ventilation and Air Conditioning (HVAC) and lighting systems in buildings. Buildings worldwide account for a significant portion of world energy consumption. Thus, increasing building energy efficiency through BEMSs can result in substantial financial savings. In addition, BEMSs can...
Oscillometry is the most common measurement method used in automated electronic blood pressure (BP) monitors. A variety of oscillometric BP algorithms exist in the literature. However, most of these algorithms are without physiological and theoretical foundation. Moreover, most of the existing oscillometric algorithms estimate the BP from the envelope of the oscillometric pulses and ignore the wealth...
In this paper, a Particle Swarm Optimization based PI controller (PSO-PI) is used for control the speed and the torque of a Permanent Magnet Synchronous Motor (PMSM) while a Model Reference Adaptive System (MRAS) based on an Artificial Neural Network (ANN) estimation mechanism is applied to estimate sensorless the speed. In order to show the capability of the proposed PSO-PI controller, it is compared...
A multi-modal spectroscopy IC combining the impedance spectroscopy (IMPS) and the multi-wavelength near-infrared spectroscopy (mNIRS) is proposed for high precision non-invasive glucose level estimation. A frequency sweep (10kHz – 76kHz) sinusoidal oscillator (FSSO) is proposed for high resolution (500 steps) for IMPS. The output voltage swing of the FSSO is stabilized by an adaptive gain control...
The performance of ground penetrating radar (GPR) for subsurface target depth measurement can be directly related to the ability to accurately measure the signal time-of-flight. For impulse GPR systems that utilize the successive sampling technique to acquire radar data, the presence of deterministic timing jitter in the sampling electronics will warp traces along the time axis in a nonlinear manner...
This paper presents a motion recognition based step length estimation algorithm using smartphone. Motion of a user is identified based on the hybrid model of Decision Tree (DT), Artificial Neural Network (ANN) and Support Vector Machine (SVM). The parameters of linear combination based step length model are adapted based on the result motion recognition. In order to verify the proposed algorithm,...
Accurate estimation of the state-of-charge (SoC) and state-of-health (SoH) for an operating battery, as a critical task for battery health management, greatly depends on the validity and generalizability of battery models. Due to the variability and uncertainties involved in battery design, manufacturing, and operation, developing a generally applicable battery physical model is a big challenge. To...
Cold rolled non-oriented (CRNO) electrical steel sheets are soft ferromagnetic materials which are commonly used for electromagnetic core design for AC rotating electrical machines. When these materials are exposed to time-varying magnetic fields, the iron losses occur. These losses represent the power dissipated in the ferromagnetic material and they are dependent upon the frequency and magnetic...
In the paper indoor localization system based on GSM using fingerprinting framework will be described and studied. Firstly fingerprinting framework will be described. Deterministic localization algorithms based on Nearest Neighbor approach will be described in detail. Described algorithms will be implemented in the simulation model. Simulations performed in Matlab environment will be aimed to investigate...
An LTE-Advanced Radio Access Network (RAN) would be able to activate an additional component carrier in a Licensed Spectrum Access (LSA) channel, allowing the mobile network operator (MNO) to boost capacity and data rates. But such a dynamic spectrum access strategy requires an effective method for estimating the impact of the LTA-Advanced RAN operation on the primary user and minimizing it. LTE-Advanced...
Microgrid systems, electric vehicles and portable devices need batteries as storage devices and power sources. Therefore, battery management system (BMS) is critical for maintaining optimum battery performance. In this paper, a BMS designed for a battery system of a small microgrid system in Taiwan is described. To validiate the concept, a scale-down experimental battery system is tested by the proposed...
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