Search results for "Shape analysi"

showing 4 items of 64 documents

Crystal structure and Hirshfeld surface analysis of poly[[bis[μ4-N,N′-(1,3,5-oxadiazinane-3,5-diyl)bis(carbamoylmethanoato)]nickel(II)tetrapotassium]…

2021

The complex nickel(II) anion comprises a pseudomacrocyclic hydrazide-based ligand with an L shape. In the crystal, such anions are connected with the potassium cations and the water solvent mol­ecules, forming a three-dimensional polymeric framework, which is stabilized by an extensive system of hydrogen bonds.

crystal structureCyclohexane conformationshape analysischemistry.chemical_elementCrystal structure010402 general chemistryRing (chemistry)01 natural sciencesResearch Communicationspseudomacrocyclic ligandchemistry.chemical_compoundtemplate reactionSHAPE analysisAmidehirshfeld surface analysisHirshfeld surface analysisGeneral Materials ScienceCrystallography010405 organic chemistryHydrogen bondnickel(ii) complexGeneral ChemistryCondensed Matter Physicsnickel(II) complex3. Good health0104 chemical sciencesTemplate reactionNickelCrystallographychemistryQD901-999Hydratehydrazide-based ligand
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A second solvatomorph of poly[[μ4-N,N′-(1,3,5-oxadiazinane-3,5-diyl)bis(carbamoylmethanoato)]nickel(II)dipotassium] : crystal structure, Hirshfeld su…

2021

The title compound, poly[triaquabis[μ4-N,N′-(1,3,5-oxadiazinane-3,5-diyl)bis(carbamoylmethanoato)]dinickel(II)tetrapotassium], [K4Ni2(C7H6N4O7)2(H2O)3] n , is a second solvatomorph of poly[(μ4-N,N′-(1,3,5-oxadiazinane-3,5-diyl)bis(carbamoylmethanoato)nickel(II)dipotassium] reported previously [Plutenko et al. (2021). Acta Cryst. E77, 298–304]. The asymmetric unit of the title compound includes two structurally independent complex anions [Ni(C7H6N4O7)]2−, which exhibit an L-shaped geometry and consist of two almost flat fragments perpendicular to one another: the 1,3,5-oxadiazinane fragment and the fragment including other atoms of the anion. The central Ni atom is in a square-planar N2O2 co…

crystal structureshape analysischemistry.chemical_elementCrystal structureEnergy minimizationIonpseudomacrocyclic ligandCrystalchemistry.chemical_compoundtemplate reactionSHAPE analysisAmidehirshfeld surface analysisAtomHirshfeld surface analysisGeneral Materials Sciencesemi-empirical geometry optimizationCrystallographynickel(ii) complexGeneral ChemistrykompleksiyhdisteetCondensed Matter Physicsnickel(II) complexkiteetTemplate reactionNickelCrystallographychemistryQD901-999nikkelihydrazide-based ligand
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An EEMD Aided Comparison of Time Histories and Its Application in Vehicle Safety

2017

In the context of signal processing, the comparison of time histories is required for different purposes, especially for the model validation of vehicle safety. Most of the existing metrics focus on the mathematical value only. Therefore, they suffer the measuring errors, disturbance, and uncertainties and can hardly achieve a stable result with a clear physical interpretation. This paper proposes a novel scheme of time histories comparison to be used in vehicle safety analysis. More specifically, each signal for comparison is decomposed into a trend signal and several intrinsic mode functions (IMFs) by ensemble empirical mode decomposition. The trend signals reflect the general variation a…

model validationDynamic time warpingGeneral Computer ScienceComputer science02 engineering and technologyHilbert–Huang transformEngineering (all)0203 mechanical engineeringVehicle safety0202 electrical engineering electronic engineering information engineeringIn vehicledynamic time warping (DTW)General Materials Sciencevehicle crashSimulationSignal processingdynamic time warping (DTW); Ensemble Empirical Mode Decomposition (EEMD); model validation; Time-history; vehicle crash; Computer Science (all); Materials Science (all); Engineering (all)Computer Science (all)General Engineering020302 automobile design & engineeringEnsemble Empirical Mode Decomposition (EEMD)Measurement uncertainty020201 artificial intelligence & image processingMaterials Science (all)lcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971AlgorithmTime-historyShape analysis (digital geometry)Motor vehicle crash
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Complex objects classified by morphological shape analysis and elliptical Fourier descriptors

2005

This chapter deals with the classification of complex objects by morphological shape analysis and elliptical Fourier descriptors. An unsupervised method has been proposed to identify components with specific shapes by a simple edge detector and to classify them via the description of their contours. A particular application has been arranged in order to evaluate the goodness of this approach when discriminating between normal and pathological human megakaryocytes. Alterations in these cells can occur in many pathological processes and in such cases the pattern, size and shape of the cytoplasm and/or of the nucleus are extremely varied.

symbols.namesakeFourier transformSettore INF/01 - InformaticaComputer sciencebusiness.industrysymbolsComputer visionArtificial intelligenceComplex objects classified by morphological shape analysis and elliptical Fourier descriptorsbusinessShape analysis (digital geometry)
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