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Planning under motion and observation uncertainties requires the solution of a stochastic control problem in the space of feedback policies. In this paper, by restricting the policy class to the linear feedback polices, we reduce the general (n2 + n)-dimensional belief space planning problem to an (n)-dimensional problem. As opposed to the previous literature that search in the space of open-loop...
In cyber-physical systems, state estimation errors can be caused not just by process noise or measurement noise in sensors, but also by errors in the communication network. Jitter in packet delivery over a communication network carrying sensor measurements can result in timing errors which result in large outlier type state estimation errors, such as, for example, velocity estimation errors in vehicular...
This paper poses the problem of modeling price responsive demand as one of identifying the transfer function between the price and power consumption. This is motivated by the team's earlier work of econometric estimation of the self- and cross-elasticity of demand response. It is discovered that electricity consumption has several unique features that may render the traditional approach ineffective...
There is 67.04% dynamic power reduction with LVCMOS12 when we migrate from 90-nm Spartan-3 FPGA to 40-nm Virtex-6 FPGA. There is 81.19%, 92.05% dynamic power reduction when using LVCMOS12 in place of HSTL_II_18 and SSTL2_I_DCI respectively. We achieved 65.56%, 72.59% and 73.41% dynamic power reduction in ALU with LVDCI IO standard in place of LVDCI_DV2, HSTL_I, and LVCMOS12 respectively. There is...
The Systems using Orthogonal Frequency Division Multiplexing (OFDM) suffer with carrier frequency offset (CFO) results in inter carrier interference (ICI) due to which there will be large performance degradation. The impairment like CFO is caused due to mismatch of carrier frequency at the transmitter to local oscillator frequency at the receiver, multipath and Doppler shift. This paper presents a...
The speed and position estimation from Back EMF has been a problem under speed reversal response due to change of sign of speed. In this paper, an algorithm using fuzzy logic is proposed to estimate the speed and position of BLDC motor from back EMF for sensorless brushless DC (BLDC) motor drives to improve the performance of conventional sensorless drives. Most existing sensorless methods of the...
The Fourth generation (4G) wireless networks are expected to afford high data rate transmission of multimedia services such as wireless video, wireless Internet access and mobile computing. Orthogonal frequency division multiplexing (OFDM) is an effective technique for the future 4G communications because of its great immunity to impulse noise and intersymbol interference. Ultra wide band (UWB) wireless...
In an library based waveform (WF) development for software defined radios, high-level performance estimation models of implementations are beneficial for converging quickly to an optimal mapping of a WF-description to a hardware platform. A model that estimates the changes in performance, e.g. bit error rate (BER), due to the configuration-parameters, e.g. input data-width, in implementations is helpful...
In this work we have examined the effect of functional electrical stimulation (FES) in the management of drop foot in stroke subjects with surface electromyographic (sEMG) analysis from the tibialis anterior (TA) muscle. Ten subjects were assigned to FES therapy combined with conventional stroke rehabilitation program 5 days a week, 60 min a day, for 12-weeks in clinical settings. Baseline and post-treatment...
Filtering algorithms have found numerous application in various fields. One of the main factors that affect the performance of filtering algorithms is when the instrument recording the observations is faulty and yields observations which are outliers, that subsequently degrade the performance of the filter. A standard procedures to deal with this issue is to reject any measurement that is at least...
Advanced Traveler Information Systems provide real-time transit information concerning location of vehicles and the predicted arrival times. Such information is based on estimates of the state of the vehicles from on-board sensors, and models of vehicle motion through traffic. In this paper, we propose new models and algorithms to track public transit in urban environment. The new models incorporate...
This paper has been designed to identify the Web metrics for evaluating the reliability and maintainability of hypermedia applications. In the age of information and communication technology (ICT), Web and the Internet, have brought significant changes in information technology (IT) and their related scenarios. Therefore in this paper an attempt has been made to trace out the Web-based measurements...
In this paper, we study how to build a vision-based system for global localization with accuracies within 10 cm. for robots and humans operating both indoors and outdoors over wide areas covering many square kilometers. In particular, we study the parameters of building a landmark database rapidly and utilizing that database online for real-time accurate global localization. Although the accuracy...
This paper presents a sensorless scheme for rotor position estimation of permanent magnet brushless dc motor using artificial neural networks with the formulation and comprehensive analysis of vector control PMBLDC drive. The PMBLDC motors are widely used as they possess high power density and are simple to control. However the operation of PMBLDC motor, demands the knowledge of rotor position as...
We consider the Probably Approximately Correct (PAC) model of "learning," introduced in [1]. Given data that consists of labeled samples, the problem is to select a "hypothesis" (a function) that will accurately label new samples. We investigate an approach, different from the usual one, that first estimates the error of each candidate hypothesis and then selects the hypothesis...
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