The problem of dipole localization and its parameter estimation has been widely investigated. In the literature, various approaches have been proposed, including iterative methods and resolution schemes based on inver...
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The problem of dipole localization and its parameter estimation has been widely investigated. In the literature, various approaches have been proposed, including iterative methods and resolution schemes based on inverse formulas. This paper introduces the Closed-form Formula-based Method (CFM), which addresses the dipole localization problem when the source is placed in the Earth’s magnetic field, assumed to be constant within the region of interest. The CFM is based on a modified version of the Yin formula that is a closed-form expression originally developed to estimate the position of a dipole in the absence of a constant magnetic field. The proposed method utilizes this modified Yin formula in combination with a specific magnetometer array configuration designed to measure both gradients and magnetic field values, along with a selection algorithm. The concept was tested by simulations in which different dipole parameters and different positions are tested to verify all possible configurations. Both the Yin formula and the CFM were simulated in MATLAB by developing scenarios in which infinitesimal gradient schemes were considered. Additionally, the CFM was tested by taking into account a finite gradient scheme, the effect of white noise, different trajectories in space, and different strengths of the dipole. Results show that the CFM can be used in all configurations in which the Yin formula does not work, and that it localizes a 100 Am 2 dipole at a distance of 3 m, with a white noise of 0.01 nT as a standard deviation, providing a mean and maximum absolute error of 0.01 m and 0.03 m, respectively.
The article deals with the economic evaluation of investment and optimization of the renewable energy sources for family houses. For example, from the point of view of solar systems, the optimal solution is based on t...
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The paper presents the concept of using a Protégé environment to extract knowledge about the properties and features of discrete problems described by ALMM technology. The concept of an Intelligent ALMM syst...
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MENAHIA (Middle East and North African Health informatics Association) is the International Medical informatics Association chapter dedicated to the Middle East and North Africa region. This region is rapidly growing ...
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A novel control strategy is proposed to enable uncertainty minimization through knowledge infusion into the closed loop. The developed methodology aims the application of predictive control to regulate the complex ane...
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ISBN:
(数字)9781665467612
ISBN:
(纸本)9781665467629
A novel control strategy is proposed to enable uncertainty minimization through knowledge infusion into the closed loop. The developed methodology aims the application of predictive control to regulate the complex anesthetic- hemodynamic (AH) interaction in a set of patients during general anesthesia. A special focus is given to solutions for minimizing the risk of instability arising from large uncertainty in the patient model dynamics. The paper explores the concept of digitalizing surgical actions as part of the natural mimicking strategy of actual anesthesiologists’ real-life decision-making process. The simulations supporting the claims use an AH simulator. A feasibility study for solutions in an actual constrained input-output variable set is performed. Results confirm that the feasibility is enhanced when minimizing uncertainty conditions, having important clinical relevance in multi-drug optimization.
Bioimpedance is a commonly used method for various conditions monitoring. In this paper, the authors carried out some research where they implemented various smoothing filters to enable identification of the bioimpeda...
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Bioimpedance is a commonly used method for various conditions monitoring. In this paper, the authors carried out some research where they implemented various smoothing filters to enable identification of the bioimpedance spectroscopy parameters. The proposed filtering methods may also be used for application on embedded systems, which have smaller computing power but have become recently very popular. The obtained results with the implementation of smoothing filters were promising, however, some of the obtained results were unsatisfactory. This work also contains a brief introduction to bioimpedance spectroscopy and smoothing filters.
This paper presents a novel approach for head tracking in augmented reality (AR) flight simulators using an adaptive fusion of Kalman and particle filters. This fusion dynamically balances the strengths of both algori...
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In recent years, a lot of attention is paid to deep learning methods in the context of vision-based construction site safety systems. However, still there is no reliable way to establish the relationship between super...
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This article aims to calculate the net income achieved by a prosumer for an existing On-Grid system of photovoltaic panels consisting of a set of 12 poly crystalline panels with a nominal power of 250 Wand 60 cells an...
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ISBN:
(数字)9781728175065
ISBN:
(纸本)9781728175072
This article aims to calculate the net income achieved by a prosumer for an existing On-Grid system of photovoltaic panels consisting of a set of 12 poly crystalline panels with a nominal power of 250 Wand 60 cells and an On-Grid inverter (StecaGrid model) with a maximum power of 3000 W. The prosumer is located in southern Romania, Ilfov County. Modeling of the photovoltaic panel in Matlab / SIMULINK was performed using a mathematical model, and it was compared with a real data set. Next, an analysis was made of the energy produced by the photovoltaic system, and the energy consumed by the prosumer, the excess energy being introduced in the national energy system. We have achieved a net income saving for March, so the analyzed photovoltaic system has energy efficiency that can significantly reduce electricity costs over time. Thus, using the Matlab / Simulink model, photovoltaic systems can be designed to satisfy the needs of prosumers.
Machine learning algorithms are applied for measuring the performance of robot-assisted cerebral palsy rehabilitation training system. Such approach allows an analysis and predictions about the system reaction to be d...
Machine learning algorithms are applied for measuring the performance of robot-assisted cerebral palsy rehabilitation training system. Such approach allows an analysis and predictions about the system reaction to be done with high accuracy. The rehabilitation training actions of children with cerebral palsy are focused on imagination and conscious control of the face, such as left or right exercises. The aim of the designed interface interaction module is to motivate and to improve the training enthusiasm of the children with cerebral palsy to continue with the rehabilitation therapy avoiding the thoughts about the pain, tiredness and discomfort. The robot is simulated in the platform CopeliaSim.
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