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1

Pantling, Carey M. Active vibration control method for space truss using piezoelectric actuators and finite elements. Monterey, Calif: Naval Postgraduate School, 1999.

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2

Szabo, J. P. A forced vibration non-resonant method for the determination of complex modulus in the audio frequency range. Dartmouth, N.S: Defence Research Establishment Atlantic, 1992.

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3

Ontario. Ministry of Natural Resources. Regional flood frequency analysis for Ontario streams: Single station analysis and index method. Toronto: Queen's Printer for Ontario, 1985.

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4

International Meeting on Low Frequency Noise and Vibration and Its Control (11 2004 Maastricht, Netherlands). Proceedings Low Frequency 2004: 11th International Meeting on Low Frequency Noise and Vibration and its Control, Maastricht The Netherlands 30 August - 1st September 2004. Brentwood, Essex: Multi-Science, 2004.

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5

Dilsavor, Ronald Louis. Analysis of modified SMI method for adaptive array weight control. Washington, DC: National Aeronautics and Space Administration, 1989.

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6

Kaiser, W. Sound and vibration from heavy military vehicles: Investigations of frequency assignment and wave spreading with respect to monitoring under disarmanent treaties. Hagen: ISL-Verlag, 1998.

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7

Schuring, J. Design and experimental verification of a calculation method for frequency response analysis of digital control systems in a continuous environment. Amsterdam: National Aerospace Laboratory, 1985.

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8

Rudolf, Rabenstein, ed. Digital sound synthesis by physical modeling using the functional transformation method. New York: Kluwer Academic/Plenum Publishers, 2003.

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9

Phan, Minh Q. Stochastic prediction of vibration levels in the presence of modeling uncertainties: Final report, NASA grant NAG1-1698. [Princeton, N.J.]: Princeton University, Dept. of Mechanical and Aerospace Engineering, 1997.

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10

ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai Shi: Shanghai da xue chu ban she, 2010.

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11

Palazzolo, Alan. Vibration Theory and Applications with Finite Elements and Active Vibration Control. Wiley & Sons, Incorporated, John, 2016.

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12

Palazzolo, Alan. Vibration Theory and Applications with Finite Elements and Active Vibration Control. Wiley & Sons, Incorporated, John, 2016.

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13

Adaptive Feedforward Control Of Low Frequency Interior Noise. Springer, 2011.

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14

LQR control of shell vibration via piezoceramic actuators. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

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15

Kletschkowski, Thomas. Adaptive Feed-Forward Control of Low Frequency Interior Noise. Springer, 2016.

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16

Kletschkowski, Thomas. Adaptive Feed-Forward Control of Low Frequency Interior Noise. Springer, 2011.

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17

Minimum Vibration Maneuvers Using Input Shaping and Pulse-Width, Pulse- Frequency Modulated Thruster Control. Storming Media, 1996.

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18

Active Vibration Control Method for Space Truss Using Piezoelectric Actuators and Finite Elements. Storming Media, 1999.

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19

Suh, C. Steve, and Meng-Kun Liu. Control of Cutting Vibration and Machining Instability: A Time-Frequency Approach for Precision, Micro and Nano Machining. Wiley & Sons, Incorporated, John, 2013.

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20

Suh, C. Steve, and Meng-Kun Liu. Control of Cutting Vibration and Machining Instability: A Time-Frequency Approach for Precision, Micro and Nano Machining. Wiley & Sons, Incorporated, John, 2013.

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21

S, Orme John, Hreha Mark A, and United States. National Aeronautics and Space Administration., eds. Flight test validation of a frequency-based system identification method on an F-15 aircraft. [Washington, DC: National Aeronautics and Space Administration, 1995.

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22

Facility, Dryden Flight Research, ed. Higher harmonic control analysis for vibration reduction of helicopter rotor systems. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1994.

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23

Facility, Dryden Flight Research, ed. Higher harmonic control analysis for vibration reduction of helicopter rotor systems. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1994.

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24

Hybrid damping system for an electronic equipment mounting shelf: Final report for NASA-Ames university consortium, joint research interchange, February 1, 1995 - January 31, 1997. [Washington, DC: National Aeronautics and Space Administration, 1997.

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25

Process Modelling and Simulation With Finite Element Methods (Series on Stability, Vibration and Control of Systems, Series a). World Scientific Publishing Company, 2004.

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26

Trautmann, Lutz, and Rudolf Rabenstein. Digital Sound Synthesis by Physical Modeling Using the Functional Transformation Method. Springer, 2003.

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27

Trautmann, Lutz. Digital Sound Synthesis by Physical Modeling Using the Functional Transformation Method. Springer, 2012.

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28

G, Horta Lucas, and Langley Research Center, eds. On-orbit application of H-infinity to the middeck active controls experiment: Overview of results. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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29

G, Horta Lucas, and Langley Research Center, eds. On-orbit application of H-infinity to the middeck active controls experiment: Overview of results. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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30

G, Horta Lucas, and Langley Research Center, eds. On-orbit application of H-infinity to the middeck active controls experiment: Overview of results. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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31

G, Horta Lucas, and Langley Research Center, eds. On-orbit application of H-infinity to the middeck active controls experiment: Overview of results. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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32

Application of higher harmonic control to hingeless rotor systems. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1991.

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33

Paeglīte, Ilze. Kustīgās slodzes dinamiskās iedarbes uz autoceļu tiltiem eksperimentāla izpēte un novērtējums. RTU Press, 2021. http://dx.doi.org/10.7250/9789934227028.

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Using data obtained from the dynamic load testing of bridges a method was developed to evaluate level of the dynamic performance without performing a dynamic load test. In this method a dynamic index of the bridge is calculated. Dynamic index allows to evaluate the dynamic performance level of existing and new structures taking into account such bridge parameters as span length / height ratio, natural frequency, vibration damping coefficient, relative deflection and international roughness index IRI. Dynamic index method can be used by bridge owners and maintainers to determine the dynamic potential of a particular bridge. The maximum allowable values of the dynamic amplification factor for standard prestressed concrete beam bridges were determined. These values were calculated for maximum allowed traffic load in Latvia. The obtained results can be used for the safety assessment of existing and reconstructed reinforced concrete beam bridges.
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34

Vaez-Zadeh, Sadegh. Rotor Position and Speed Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0006.

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The ultimate importance of rotor position and speed information in permanent magnet synchronous (PMS) machines control, and the industry interest to the rotor and speed sensorless systems as a cost-saving and practical alternative to the motor control with mechanical sensors are emphasized. Major position and speed estimation schemes are then presented in detail. These are the: back electromotive force (EMF)-based method; flux linkage method; hypothesis rotor position method; saliency-based method, including high frequency signal injection and inverter switching harmonics schemes; and finally, the observer-based method, including state observer and extended Kalman filter-based schemes. Each scheme was discussed by presenting the corresponding fundamental principles, followed by the appropriate motor model, estimation procedure, and the implementation. Demanding criteria such as accuracy, robustness, swiftness, and capability of working over the entire range of motor operation are discussed with each method.
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35

Araújo, Ana Cláudia Vaz de. Síntese de nanopartículas de óxido de ferro e nanocompósitos com polianilina. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-120-2.

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In this work magnetic Fe3O4 nanoparticles were synthesized through the precipitation method from an aqueous ferrous sulfate solution under ultrasound. A 23 factorial design in duplicate was carried out to determine the best synthesis conditions and to obtain the smallest crystallite sizes. Selected conditions were ultrasound frequency of 593 kHz for 40 min in 1.0 mol L-1 NaOH medium. Average crystallite sizes were of the order of 25 nm. The phase obtained was identified by X-ray diffractometry (XRD) as magnetite. Scanning electron microscopy (SEM) showed polydisperse particles with dimensions around 57 nm, while transmission electron microscopy (TEM) revealed average particle diameters around 29 nm, in the same order of magnitude of the crystallite size determined with Scherrer’s equation. These magnetic nanoparticles were used to obtain nanocomposites with polyaniline (PAni). The material was prepared under exposure to ultraviolet light (UV) or under heating, from dispersions of the nanoparticles in an acidic solution of aniline. Unlike other synthetic routes reported elsewhere, this new route does not utilize any additional oxidizing agent. XRD analysis showed the appearance of a second crystalline phase in all the PAni-Fe3O4 composites, which was indexed as goethite. Furthermore, the crystallite size decreases nearly 50 % with the increase in the synthesis time. This size decrease suggests that the nanoparticles are consumed during the synthesis. Thermogravimetric analysis showed that the amount of polyaniline increases with synthesis time. The nanocomposite electric conductivity was around 10-5 S cm-1, nearly one order of magnitude higher than for pure magnetite. Conductivity varied with the amount of PAni in the system, suggesting that the electric properties of the nanocomposites can be tuned according to their composition. Under an external magnetic field the nanocomposites showed hysteresis behavior at room temperature, characteristic of ferromagnetic materials. Saturation magnetization (MS) for pure magnetite was ~ 74 emu g-1. For the PAni-Fe3O4 nanocomposites, MS ranged from ~ 2 to 70 emu g-1, depending on the synthesis conditions. This suggests that composition can also be used to control the magnetic properties of the material.
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36

Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network (GESUT) and in database of topographic objects (BDOT500) were analyzed. The results of the research concerned selected aspects of activities in terms of the spatial data quality. These activities include: the assessment of the accuracy of data collected in official spatial databases; determination of the uncertainty of the area of registry parcels, analysis of the risk of damage to the underground infrastructure network due to the quality of spatial data, construction of the quality model of data collected in official databases and visualization of the phenomenon of uncertainty in spatial data. The evaluation of the accuracy of data collected in official, large-scale spatial databases was based on a representative sample of data. The test sample was a set of deviations of coordinates with three variables dX, dY and Dl – deviations from the X and Y coordinates and the length of the point offset vector of the test sample in relation to its position recognized as a faultless. The compatibility of empirical data accuracy distributions with models (theoretical distributions of random variables) was investigated and also the accuracy of the spatial data has been assessed by means of the methods resistant to the outliers. In the process of determination of the accuracy of spatial data collected in public registers, the author’s solution was used – resistant method of the relative frequency. Weight functions, which modify (to varying degree) the sizes of the vectors Dl – the lengths of the points offset vector of the test sample in relation to their position recognized as a faultless were proposed. From the scope of the uncertainty of estimation of the area of registry parcels the impact of the errors of the geodetic network points was determined (points of reference and of the higher class networks) and the effect of the correlation between the coordinates of the same point on the accuracy of the determined plot area. The scope of the correction was determined (in EGiB database) of the plots area, calculated on the basis of re-measurements, performed using equivalent techniques (in terms of accuracy). The analysis of the risk of damage to the underground infrastructure network due to the low quality of spatial data is another research topic presented in the paper. Three main factors have been identified that influence the value of this risk: incompleteness of spatial data sets and insufficient accuracy of determination of the horizontal and vertical position of underground infrastructure. A method for estimation of the project risk has been developed (quantitative and qualitative) and the author’s risk estimation technique, based on the idea of fuzzy logic was proposed. Maps (2D and 3D) of the risk of damage to the underground infrastructure network were developed in the form of large-scale thematic maps, presenting the design risk in qualitative and quantitative form. The data quality model is a set of rules used to describe the quality of these data sets. The model that has been proposed defines a standardized approach for assessing and reporting the quality of EGiB, GESUT and BDOT500 spatial data bases. Quantitative and qualitative rules (automatic, office and field) of data sets control were defined. The minimum sample size and the number of eligible nonconformities in random samples were determined. The data quality elements were described using the following descriptors: range, measure, result, and type and unit of value. Data quality studies were performed according to the users needs. The values of impact weights were determined by the hierarchical analytical process method (AHP). The harmonization of conceptual models of EGiB, GESUT and BDOT500 databases with BDOT10k database was analysed too. It was found that the downloading and supplying of the information in BDOT10k creation and update processes from the analyzed registers are limited. An effective approach to providing spatial data sets users with information concerning data uncertainty are cartographic visualization techniques. Based on the author’s own experience and research works on the quality of official spatial database data examination, the set of methods for visualization of the uncertainty of data bases EGiB, GESUT and BDOT500 was defined. This set includes visualization techniques designed to present three types of uncertainty: location, attribute values and time. Uncertainty of the position was defined (for surface, line, and point objects) using several (three to five) visual variables. Uncertainty of attribute values and time uncertainty, describing (for example) completeness or timeliness of sets, are presented by means of three graphical variables. The research problems presented in the paper are of cognitive and application importance. They indicate on the possibility of effective evaluation of the quality of spatial data collected in public registers and may be an important element of the expert system.
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