161,210 research outputs found
Enhanced Kalman Filter-Based Identification of a Fuel Cell Circuit Model in Impedance Spectroscopy Tests
No full textModel parameters identification plays an important role in enhancing the currently available diagnosis techniques for fuel cells (e.g. electrochemical impedance spectroscopy). In this work, the dual Kalman filter (DKF) has been used for the parametric identification of a Randles circuit model. The fuel cell has been stimulated with typical EIS input signals, and the results of the identification have been validated by using the impedance spectra produced by the Fouquet impedance model. The obtained results allow to infer a functional relation between the filter settings and the input signal, thus enabling the possibility of detecting faults by inspecting the deviation of model parameters
Zamboni Rule.
No full text1<p>data missing for one subject test of Zamboni Rule using exact conditional logistic regression: p-value = 0.991 OR and 95% CI not estimable.</p
ELECTRIMACS 2019 Selected papers - Volume 1
No full textThis book collects a selection of papers presented at ELECTRIMACS 2019, the 13th international conference of the IMACS TC1 Committee, held in Salerno, Italy, on 21st-23rd May 2019. The conference papers deal with modelling, simulation, analysis, control, power management, design optimization, identification and diagnostics in electrical power engineering. The main application fields include electric machines and electromagnetic devices, power electronics, transportation systems, smart grids, electric and hybrid vehicles, renewable energy systems, energy storage, batteries, supercapacitors and fuel cells, and wireless power transfer. The contributions included in Volume 1 are particularly focused on electrical engineering simulation aspects and innovative applications
NanoMagnet Logic: an Architectural Viewpoint
No full textAmong the possible implementation of Field- Coupled devices NanoMagnet Logic is attractive for its low power consumption and the possibility to combine memory and logic in the same device. However, the nature of these technologies is so different from CMOS transistors that the implications on the circuit architecture must be taken carefully into account. In this work we analyze the most important issues related to the design of complex circuits using this technology. We discuss how they influence the architectural level. We propose detailed solutions to solve these problems and to improve the overall performance. As a result of this analysis the type of circuits and applications that constitute the best target for this technology are identified. The analysis is performed on NanoMagnet Logic but the results can be applied to any QCA technolog
Broad band modeling of a superconducting magnetic energy storage (SMES) coil
No full textIn this paper, we compute with accuracy the impedance parameters of a superconducting magnetic energy storage (SMES) system. We do this by using a three-dimensional integral formulation of the full set of frequency domain Maxwell's equations in the quasistatic limit. The impedance parameter allows the construction of a time domain equivalent circuit to be used for the simulation of the overall SMES system. The numerical model is based on a volume integral formulation where the unknown is the total current density J, expressed as the sum of its solenoidal and non-solenoidal components. This separation allows to avoid the ill-conditioning of the relevant stiffness matrix at low frequencies, being essential for developing a numerical model accurately working where the SMES resonances are located. The model is applied to the case of an ideal model coil consisting of an 18-layers solenoid
Analysis of plasmon oscillations in metallic nanoparticles
No full textThe metallic nanoparticle is modeled as a dielectric body dispersive in frequency with assigned dielectric constant. The electric field is expressed as function of the charge distribution through an integral formulation. By imposing the boundary conditions on the nanoparticle surface, the equations for the induced charge in the nanoparticle is obtained. The numerical solution of such equations allows to treat arbitrary geometries and to estimate the effects of deviations from ideality on the resonance values
Realizzazione di un DNA-Array di varianti genetiche nelle lesioni croniche di origine vascolare
No full textObjective Wound healing in venous leg ulcer (VLU) is a multi-step process involving complex
pathways. Scanty knowledge at molecular level hinders clinical assessment and treatment.
Anomalous handling of local iron overload, as well as unbalancing in MMPs and transglutaminase,
has a recognized role in VLU establishment. We selected a number of single nucleotide
polymorphisms (SNPs) in candidate genes (HFE, FPN1, MMP12, FXIII) involved in VLU to
identify potentially prognostic markers by means of DNA-array technology.
Methods and Results DNA-array-genotyping was assessed in 638 subjects for the following SNPs:
HFE [C282Y, H63D], FPN1 [-8CG], MMP12 [-82AG] and FXIII [V34L]. Of the subjects, 221
were affected by VLU (171 primary and 50 post-thrombosis), 112 by severe chronic venous
insufficiency (CVI) (CEAP, C3-C4), while 305 were matched healthy controls. HFE and FXIII
SNPs had been previously genotyped by conventional PCR-methods on the same group of subjects
(J Vasc Surg 2005;42:309; J Vasc Surg 2006;44:554; J Vasc Surg 2006;44:815). For the purpose
of DNA-array, they were re-genotyped by means of array-techniques resulting in a 100% matching.
Inter-group statistical comparisons were performed. In the risk computation, the FPN1 -8GG
genotype had an overall CVI risk of 4.3 (CI95%, 1.6-12) and a VLU risk of 5.2 (CI95%, 1.9-15)
virtually the same among primary VLU (4.98; CI95%, 1.82-14.9). The MMP12 -82AA genotype
had a VLU risk of 1.96 (CI95%, 1.18-3.2) only in primary VLU (P=.01). In the genotype-ulcer size
association studies, from a sub-group of 167 cases, we observed a smaller mean ulcer size in the
MMP12 GG-genotype compared with the other genotypes (P=.001). Combining the present results
with our previous published data on the same population, we suggest them to apply as tentative
prognostic indicators in primary CVI.
Conclusion By analyzing simultaneously selected SNPs it might be possible to glean precious
information in predicting VLU onset or in stratifying patients according to their potential to heal.
Our findings must be considered preliminary and the proposed prognostic indicators considered
with caution, before ulterior, more extensive studies in different populations can eventually confirm
the present findings.
Clinical Relevance DNA-array evaluation could be added to clinical CVI assessment. By analyzing
simultaneously selected SNPs it is possible to have in advance precious information about several
VLU clinical findings to perform prevention program in the initial patient assessment. Our results
must be handled with extreme caution before consider them as prognostic indicators and further
larger studies in different populations are mandatory
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