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We present a parameter estimation method of stochastic differential equations with time-varying coefficients, where data can be observed at discrete points of time. Our objective is to develop the uniform mathematical technique to solve the parameter estimation problem for stochastic differential equations with both ordinary and fractional Brownian motions. This estimation principle is based on the...
This paper presents a camera-laser projector based system for the real-time estimation of distance to obstacles designed to assist wheelchair users with cognitive impairment. Upon falling under the specified safe distance to an obstacle an alarm alerts that it can be used by the control system to act immediately to avert a possible collision even before the user stops the wheelchair. This system consists...
This paper presents a novel sensing methodology for hand pose estimation, using low cost micro-machined 9-axis inertial and magnetic sensors consisted of gyroscopes, accelerometers and magnetometers. The distributed design that sixteen sensor-boards and one processor-board are respectively deployed on the sections of the hand is proposed, so that the orientations of the palm and each knuckle can be...
An estimation method is presented for the S-parameters of both a multiport connection and a multiport device. The multiport device is connected to the output end of the multiport connection and a network analyzer is connected to its input end. Here, the multiport device and the input end of the connection are assumed to have different ground levels. Only measurements of reflection and transmission...
Passive source localization is an important area of research. In this paper, a received signal strength difference (RSSD) based localization technique is presented for wireless sensor networks. The advantage of this solution is that the transmit power does not have to be known. It is an effective low complexity technique as it eliminates the transmit power estimation required with other approaches...
Image dehazing algorithm based on dark channel prior has been proved to be effective, but it cannot still guarantee accurate transmission. To solve this problem, we firstly propose a more reasonable estimation of atmospheric light, because bias in the atmospheric light estimation will cause an inaccurate transmission. Secondly, we improve the estimation of transmission in bright area so as to alleviate...
The paper presents a speed sensorless finite state predictive torque control (FS-PTC) for voltage source inverter-fed induction motor drive. The simple model reference adaptive system (MRAS) based flux vector observer enabling speed sensor elimination is also presented. The novelty of the presented system lays in combination of the FS-PTC structure with simple observer for both torque/flux and speed...
Passive source location determination is a very active research area. In this paper, we present a received signal strength difference (RSSD) source localization method based on a total least square (TLS) estimator. Due to errors in the data vector and system matrix, the least squares (LS) and weighted least squares (WLS) methods are not applicable as they produce large bias in the location estimation...
The paper presents method for parametric identification of a fractional order noise. The fractional order colored noise is a generalization of the traditional colored noise (noise with dynamic dependency) in the case when the dynamics of noise is a fractional order dynamics. Proposed identification algorithms are designed for two cases: when order of noise is known and when order of the noise have...
With high penetration of residential, roof-top photovoltaic (PV) systems, it has become important for the electric utilities to conduct various impact analyses to ensure proper operation and control of power distribution systems. A key requirement for these studies is the data on PV power output at fine time resolution, often in the order of minutes, and for some transient studies, even in the order...
This paper proposes a transmission power management algorithm based on link quality parameter to obtain savings in node energy consumption. The radio operation is the most power consuming task in a wireless node network; therefore the proposed algorithm tries to determine the optimum transmission power level to use only the required energy. A new decision index is defined based on link quality information...
The author has previously proposed a hopping mechanism using permanent magnets for small-scale exploration rovers. The main part of the proposed mechanism consists of one movable magnet and two stationary magnets. The mechanism uses for hopping the impact force generated when the movable magnet sticks to the stationary magnet. The features of the mechanism are that the large impact force can be generated...
This paper documents improvements in the method for offline estimation of iceberg geometry as presented by Kimball and Rock [1]. The method removes the AUV's inertial position from the equations, allowing the mission to be completed without ship-based navigation aids. This is a substantial operational advantage. Additionally, it differs from [1] in that it treats each sonar return individually, instead...
In this paper, we propose two new information criteria to select the desired model order for probability density function (PDF) estimation using the maximum entropy method (MEM). These two proposed information criteria are based on Akaike information criterion (AIC) and Bayesian information criterion (BIC), respectively. The PDF estimation using MEM can be presented using integer and fractional moments...
Blind channel estimation for dereverberation is noticed in most applications such as, blind source separation, communication and etc. The important challenge in this application is convolutive mixtures in a reverberant acoustic environment. In this paper, a MIMO system that has 2 input signals will be converted into 2 SIMO systems and their spatial interference will be separated. A tree structure...
In this paper we propose an adaptive estimation algorithm for in-network processing of complex signals. The proposed algorithm, which will be referred as the incremental augmented complex least mean square (IAC-LMS) algorithm, relies on the incremental collaboration among the nodes, and the LMS adaptive filtering. Spatial data mining is archived by the incremental collaboration; while with LMS learning...
This article is about a state of charge (SOC) and the state of health (SOH) estimator designed for a battery management system (BMS). It was applied on a 48V lead-acid battery pack of an electrical scooter. A software Kalman based SOC sensor has been developed using a PIC microcontroller, by using a relatively simple battery model, combined with Kalman filter algorithm. The SOC has been estimated...
A pixel-wise method for absolute and local aortic pressures estimation using 3D velocities in MRI and carotid pressure curves to set-up reference pressure values is presented. This method is based on the Navier-Stokes equation and a fast iterative algorithm. Its reliability was demonstrated: 1) in a synthetic phantom by comparison against simplified Bernoulli equation applied at peak velocities, and...
Electric transportation is the development tendency of the transportation systems in future world. Energy storage systems are the key components of the electric transportation systems. Accuracy state of charge (SOC) estimation of energy storage system is crucial not only for improve energy used efficiency, but also for electric transportation drive safety. This paper choose LiFePO4 Li-ion battery...
Inverted pendulum is a nonlinear, multivariable and instability system. In the past, without considering the effects of measurement noise and output noise of the sensor in the processing of inverted pendulum control, the strong random jitter occur, and the control accuracy and stable of the inverted pendulum is reduced. Because the Kalman filter can estimate the signal is corrupted by the noise, the...
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