Academic literature on the topic 'Non-invasive characterization'
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Journal articles on the topic "Non-invasive characterization"
Strieth, D., J. Kollmen, and N. Erdmann. "Phototrophic biofilms: Invasive and non‐invasive tools for characterization." Chemie Ingenieur Technik 94, no. 9 (August 25, 2022): 1250. http://dx.doi.org/10.1002/cite.202255257.
Full textVanderhaghen, Regis, Samir Kasouit, João Pedro Conde, Hyun Mo Cho, Virginia Chu, Yun Woo Lee, Hyun Jong Kim, Sang Youl Kim, and Jean Paul Kleider. "Non-invasive electrical characterization of semiconductor interfaces." Materials Science and Engineering: B 102, no. 1-3 (September 2003): 156–60. http://dx.doi.org/10.1016/s0921-5107(02)00638-4.
Full textSanchis-Jurado, V., Cristian Talens-Estarelles, J. J. Esteve-Taboada, Á. M. Pons, and S. García-Lázaro. "Non-invasive high-speed blinking kinematics characterization." Graefe's Archive for Clinical and Experimental Ophthalmology 258, no. 12 (June 10, 2020): 2701–14. http://dx.doi.org/10.1007/s00417-020-04782-w.
Full textGupta, Sharad, Martin Hunter, Peggy Cebe, Jonathan M. Levitt, David L. Kaplan, and Irene Georgakoudi. "Non-invasive optical characterization of biomaterial mineralization." Biomaterials 29, no. 15 (May 2008): 2359–69. http://dx.doi.org/10.1016/j.biomaterials.2008.01.034.
Full textBARNES, R. "Non-invasive characterization of arterial system function." American Journal of Hypertension 17, no. 5 (May 2004): S56. http://dx.doi.org/10.1016/j.amjhyper.2004.03.142.
Full textGlorieux, Christ. "Perspective on non-invasive and non-destructive photoacoustic and photothermal applications." Journal of Applied Physics 131, no. 17 (May 7, 2022): 170903. http://dx.doi.org/10.1063/5.0091261.
Full textPaulus, Andreas, Petronella A. van Ewijk, Emmani B. M. Nascimento, Marijke De Saint-Hubert, Geert Hendrikx, Andrea Vogg, Ivo Pooters, et al. "Characterization of BAT activity in rats using invasive and non-invasive techniques." PLOS ONE 14, no. 5 (May 15, 2019): e0215852. http://dx.doi.org/10.1371/journal.pone.0215852.
Full textLuca-Harari, Bogdan, Monica Straut, Silvia Cretoiu, Maria Surdeanu, Vasilica Ungureanu, Mark van der Linden, and Aftab Jasir. "Molecular characterization of invasive and non-invasive Streptococcus pyogenes isolates from Romania." Journal of Medical Microbiology 57, no. 11 (November 1, 2008): 1354–63. http://dx.doi.org/10.1099/jmm.0.2008/001875-0.
Full textFonseca, J., C. O’Sullivan, M. R. Coop, and P. D. Lee. "Non-invasive characterization of particle morphology of natural sands." Soils and Foundations 52, no. 4 (August 2012): 712–22. http://dx.doi.org/10.1016/j.sandf.2012.07.011.
Full textKunst, M., and P. Grunow. "Characterization of multicrystalline silicon wafers by non-invasive measurements." Solar Energy Materials and Solar Cells 83, no. 4 (July 2004): 409–19. http://dx.doi.org/10.1016/j.solmat.2004.01.034.
Full textDissertations / Theses on the topic "Non-invasive characterization"
Rossi, Matteo. "Non invasive hydrogeophysical techniques for vadose zone hydrological characterization." Doctoral thesis, Università degli studi di Padova, 2010. http://hdl.handle.net/11577/3427485.
Full textL’idrogeofisica è una disciplina che è emersa ed ha avuto un importante sviluppo nelle ultime due decadi. Lo scopo di questa disciplina è la caratterizzazione idrologica ed idrogeologica del sottosuolo attraverso tecniche geofisiche non invasive. Le tecniche di campionamento convenzionali sono di norma spazialmente distribuite ed acquisite ad una scala impropria. Le tecniche geofisiche invece permettono indagini spazialmente più fitte in 2D o 3D. Il presente lavoro si focalizza sulla caratterizzazione idrologica della zona vadosa. I dati ottenuti dalle tecniche geofisiche possono essere utilizzati per calibrare modelli fisico matematici del flusso nella zona del non-saturo. Tale approccio idrogeofisico è basato su relazioni petrofisiche che legano le quantità geofisiche con le variabili idrologiche. Il classico approccio idrogeofisico parte dalle misure geofisiche per ottenere una stima di parametri idrologici, che a loro volta vengono impiegati in modelli idraulici in grado di fornire ulteriori proprietà del sistema idraulico del sottosuolo. I modelli idrologici vengono successivamente validati e calibrati con i risultati delle inversioni geofisiche in time-lapse. Questo approccio prevede l’inversione del dato geofisico, metodo che può portare ad immagini del sottosuolo che contengono artefatti e che non tengono conto della risoluzione della tecnica applicata. Un approccio differente prevede che ai parametri stimati dai modelli idraulici siano applicate le relazioni petrofisiche, al fine di tradurre le quantità idrologiche in quantità geofisiche. A questo punto la simulazione di modelli geofisici diretti permette un confronto immediato con i dati misurati, senza l’ausilio dell’inversione geofisica. Il presente lavoro è suddiviso in due parti. La prima parte è centrata sulla caratterizzazione idrologica dello stato stazionario iniziale attraverso misure radar (GPR). Lo scopo principale del lavoro è quello di quantificare quanto le misure GPR a zero offset profiling (ZOP) siano informative delle geometrie del sottosuolo e delle relative condizioni di contenuto idraulico dei materiali. Questo lavoro è essenziale per ottenere una stima del contenuto idrico del sottosuolo e della relativa incertezza che ne deriva, poiché tali stime sono il punto di partenza delle simulazioni idrauliche. La seconda parte del lavoro è focalizzata sulla inversione idrogeofisica di un test con tracciante salino condotto ad Hatfield (UK). L’approccio idrogeofisico adottato è quello di simulare misure geofisiche direttamente dalla distribuzione dei parametri idrologici calcolati, per ottenere una calibrazione di quelle quantità idrologiche scopo della metodologia applicata. La ricostruzione dell’evoluzione di un plume iniettato nella zona vadosa è interessante ai fini di identificare i possibili percorsi di un contaminante nel sottosuolo. A tale scopo un codice di particle tracking è stato applicato ai risultati dell’inversione idrologica. Il codice di partcle tracking è in grado di distinguere i percorsi dell’acqua iniettata dall’acqua già presente nel sistema e movimentata del cambiamento di pressione in atto, ‘effetto pistone’. Le inversioni delle misure geofisiche non permettono di distinguere il fluido tracciante dai cambiamenti del contenuto idrico dei materiali adiacenti al plume iniettato.
Agnoletto, Federica Claudia <1995>. "Setting up of a non-invasive methodology for painting surfaces characterization." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/16955.
Full textLinssen, Franciscus Maria Joannes. "Non-invasive arterial wall tissue characterization development and evaluation of narrowband ultrasound techniques /." [Maastricht : Maastricht : Rijksuniversiteit Limburg] ; University Library, Maastricht University [Host], 1992. http://arno.unimaas.nl/show.cgi?fid=6208.
Full textKuska, Matheus [Verfasser]. "Hyperspectral Imaging for Non-Invasive Characterization of Barley Resistances to Powdery Mildew / Matheus Kuska." Bonn : Universitäts- und Landesbibliothek Bonn, 2017. http://d-nb.info/1172813019/34.
Full textBassani, Molinas Maria de los Milagros. "Transient transfection of HEK293 cells in suspension process characterization and optimization by applying invasive nucleotide and non-invasive electronic nose technology /." [S.l. : s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=976524295.
Full textCoursey, Derya Calhan. "Respiratory mechanics of flow limitation and characterization of resistance measurements with a non-invasive device." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9272.
Full textThesis research directed by: Dept. of Biological Resources Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
FELIGIOTTI, MARA. "Damage characterization in artworks: finite element method simulation and experimental validation by non invasive techniques." Doctoral thesis, Università Politecnica delle Marche, 2008. http://hdl.handle.net/11566/242580.
Full textWillis, Richard Lance. "Non-invasive characterization of microvoided polymers under controlled static pressure and temperature using laser doppler vibrometry." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/17248.
Full textKempe, Sabine [Verfasser], K. [Akademischer Betreuer] Mäder, J. [Akademischer Betreuer] Siepmann, and J. [Akademischer Betreuer] Kreßler. "Non-invasive characterization of in situ forming implants / Sabine Kempe. Betreuer: K. Mäder ; J. Siepmann ; J. Kreßler." Halle, Saale : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2012. http://d-nb.info/1025303407/34.
Full textMuchingami, Innocent I. "NON-INVASIVE CHARACTERIZATION OF UNSATURATED ZONE TRANSPORT IN DRY COAL ASH DUMPS: A CASE STUDY OF TUTUKA, SOUTH AFRICA." University of the Western Cape, 2013. http://hdl.handle.net/11394/4268.
Full textThe management of the large volumes of solid wastes produced as coal combustion residue is of particular concern due to the presence of leachable metals and salts which may constitute a long term environmental risk and potential contamination of both surface and groundwater systems of the surrounding environment. In order to implement an efficient monitoring scheme and to assess the impact of the ash dump on the hydrologic system, a thorough knowledge on the migration of solutes fluxes in dry ash dumps as well as the controls on the transport of these solutes to the underlying groundwater system is required. The conventional methods which have been widely used for such applications are centred on extracting and analysing several samples from observation wells are drilled on the dump. This has however created a potentially hazardous situation as the installation of monitoring wells may result in the creation of new fluid pathways and results in further migration of leachates. Nevertheless, non–invasive characterization has often been useful in the determination of subsurface hydraulic properties and is a key step towards the solution of real-life problems in hydrology, hydrogeology and soil science. In contaminant transport non-invasive methods have often proved to be an efficient tool as compared to traditional drilling and sampling techniques which in most cases results in the creation of preferential flow paths and do not allow for the space and time resolution needed for the monitoring of hydrological and environmental processes. In this context, this study seeks to develop a generic conceptual model for the ash dump through the use of non-invasive geophysical techniques and numerical modelling techniques at the Tutuka Ash dump, Mpumalanga South Africa. Changes in electrical resistivity were used correlate changes in moisture contents during moisture and salt leachate ingression in ash dumps with a sufficient accuracy. A determination of the suitability of Archie‘s law to describe the relationship between electrical resistivity and solute transport ash medium was achieved through empirical laboratory experiments. Electrical resistivity tomography was then used as an appropriate tool for the elucidation of potential flow paths and brine dispersion in the ash dump. The flow rates through the ash dump were estimated by considering the rate of brine injection and the distance travelled by the brine plume over the time spanned in time lapse infiltration experiments. Additional geophysical profiles managed to show the lithostratigraphy of underlying hydro-geology, thereby ensuring that the knowledge of the geology can be established without the application of any intrusive methods. To ensure that development of the conceptual model of the unsaturated zone transport of the ash dump was developed with sufficient accuracy, numerical models were also used to describe solute transport in the vadose zone. The HYDRUS2D numerical package was used simulate the flux dynamics within the unsaturated zone of the coal ash medium, so as to develop a conceptual understanding of water flow and salt transport through the unsaturated zone of the coal ash medium. The results from the study suggested a conceptual solute transport model that consists of a two layers. The upper layer represented the unsaturated zone of the ash dump which was the source of any potential contaminant transport that could be of concern. The lower layer describe the underlying the subsurface environment to the ash dump which include the soil zone, the shallow aquifer and the deep fractured rock aquifer. To enable this conceptualisation, results from the numerical simulations and geophysical interpretations of the electrical resistivity profiles were the critical components for optimising the site-specific subsurface water flow and solute transport processes, as well as producing the most acceptable conceptualisation of the ash dump system that could be used in hazard assessment and mitigation against potential groundwater pollution. The conceptual models developed in this study proposed an explanation on impact of the ash dump to the hydro-geologic and the eco-hydrologic environment by proposing a scenario of contamination of the underling ash dump and the existing. In this regard, the study managed to provide important scenarios that may be necessary during mitigation procedures for both the ash dump and the wetland. Key words: non-invasive, coal ash, time lapse, electrical resistivity tomography, numerical models, HYDRUS2D, conceptual model.
Books on the topic "Non-invasive characterization"
Chandraratna. Tissue Characterization by Non Invasive Methods. Chapman & Hall, 1997.
Find full textGlockner, James F., Kazuhiro Kitajima, and Akira Kawashima. Magnetic resonance imaging. Edited by Christopher G. Winearls. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0015_update_001.
Full textBook chapters on the topic "Non-invasive characterization"
Iyer, Brijesh, and Nagendra Prasad Pathak. "Design and Characterization of the Radiating Elements." In Multiband Non-Invasive Microwave Sensor, 27–48. First edition. | Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780203732946-3.
Full textIyer, Brijesh, and Nagendra Prasad Pathak. "Characterization of a Concurrent Dualband NIVSD Sensor." In Multiband Non-Invasive Microwave Sensor, 79–104. First edition. | Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780203732946-5.
Full textNeidrauer, Michael, and Elisabeth S. Papazoglou. "Optical Non-invasive Characterization of Chronic Wounds." In Bioengineering Research of Chronic Wounds, 381–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00534-3_17.
Full textDas, Debanjan, and Soumen Das. "Non-invasive Cellular Characterization Using Bioimpedance Sensing." In BioSensing, Theranostics, and Medical Devices, 133–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2782-8_6.
Full textPalero, J. A., H. S. de Bruijn, A. van der Ploeg van den Heuvel, H. J. C. M. Sterenborg, and H. C. Gerritsen. "Non-invasive skin tissue characterization using non-linear spectral imaging microscopy." In EMC 2008 14th European Microscopy Congress 1–5 September 2008, Aachen, Germany, 213–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85228-5_107.
Full textMacknelly, David, Josh Mullins, Heather Wiest, David Mascarenas, and Gyuhae Park. "Dynamic Characterization of Satellite Components through Non-Invasive Methods." In Advanced Aerospace Applications, Volume 1, 321–38. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9302-1_27.
Full textCollins, R. W., Ilsin An, Yue Cong, A. R. Heyd, H. S. Witham, R. Messier, and K. Vedam. "Real Time Spectroscopic Ellipsometry for Non-Invasive Characterization of Thin Film Growth and Etching." In Nondestructive Characterization of Materials IV, 33–40. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0670-0_5.
Full textJohnson, S. A., T. Abbott, R. Bell, M. Berggren, D. Borup, D. Robinson, J. Wiskin, S. Olsen, and B. Hanover. "Non-Invasive Breast Tissue Characterization Using Ultrasound Speed and Attenuation." In Acoustical Imaging, 147–54. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/1-4020-5721-0_17.
Full textMaddah, Mahnaz, and Kevin Loewke. "Automated, Non-Invasive Characterization of Stem Cell-Derived Cardiomyocytes from Phase-Contrast Microscopy." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 57–64. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10404-1_8.
Full textHossmann, Konstantin-A. "Non-invasive imaging methods for the characterization of the pathophysiology of brain ischemia." In Brain Edema XII, 21–27. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-0651-8_5.
Full textConference papers on the topic "Non-invasive characterization"
Carline, R. T., J. Russell, C. Pickering, and D. A. O. Hope. "Rapid non-invasive temperature measurement of complex Si structures using." In CHARACTERIZATION AND METROLOGY FOR ULSI TECHNOLOGY. ASCE, 1998. http://dx.doi.org/10.1063/1.56902.
Full textDal Moro, G., M. Pipan, E. Forte, M. Sugan, and I. Finetti. "Integrated non-invasive characterization of waste disposal sites." In 9th EAGE/EEGS Meeting. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609.201414560.
Full textNi, Qingwen, and Daniel P. Nicolella. "Non-Invasive NMR Characterization of Cortical Bone Microdamage." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/bed-23028.
Full textHasna, A., S. Lye, E. Siores, A. Taube, and R. Morrison. "Non invasive moisture content measurement in paper web using microwaves." In The ninth international symposium on nondestructive characterization of materials. AIP, 1999. http://dx.doi.org/10.1063/1.1301985.
Full textGaborit, G., F. Lecoche, J. Dahdah, E. Duraz, L. Duvillaret, and J. L. Lasserre. "Non-invasive vectorial electric field characterization with optical probes." In 2013 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2013. http://dx.doi.org/10.1109/iceaa.2013.6632395.
Full textPanahi, A., E. Ghafar-Zadeh, S. Magierowski, and M. Sabour. "A Non-Invasive Characterization Method for MEMS Based Devices." In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2018. http://dx.doi.org/10.1109/mwscas.2018.8623975.
Full textJondahl, Morten Hansen, Hakon Viumdal, Kenneth Nonso Mozie, and Saba Mylvaganam. "Rheological characterization of non-newtonian drilling fluids with non-invasive ultrasonic interrogation." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092480.
Full textJondahl, Morten Hansen, Hakon Viumdal, Kenneth Nonso Mozie, and Saba Mylvaganam. "Rheological characterization of non-Newtonian drilling fluids with non-invasive ultrasonic interrogation." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092555.
Full textGupta, Sharad, Martin Hunter, David L. Kaplan, and Irene Georgakoudi. "Non-invasive characterization of mineralized silk films using light scattering." In Biomedical Optics. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/biomed.2008.btuf9.
Full textSugumar, Sathya Priya, C. V. Krishnamurthy, and Kavitha Arunachalam. "Characterization of Microwave Dicke Radiometer for Non-Invasive Tissue Thermometry." In 2018 IEEE International Microwave Biomedical Conference (IMBioC). IEEE, 2018. http://dx.doi.org/10.1109/imbioc.2018.8428912.
Full textReports on the topic "Non-invasive characterization"
Morgan, F. Dale, William Rodi, and David Lesmes. 3-D Spectral IP Imaging: Non-Invasive Characterization of Contaminant Plumes. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/828179.
Full textMorgan, F. Dale, William Rodi, and David Lesmes. 3-D Spectral IP Imaging: Non-Invasive Characterization DE FG02 96ER 14714. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/828181.
Full textMorgan, Dale F., Lesmes, David P., William Rodi, Weiqun Shi, Frye, Kevin, M., and John Sturrock. 3-D Spectral Induced Polarization (IP) Imaging: Non-Invasive Characterization Of Contaminant Plumes. Office of Scientific and Technical Information (OSTI), June 1997. http://dx.doi.org/10.2172/828173.
Full textChaudhuri, Anirban. Development of non-invasive acoustic characterization techniques for the oil and gas industry. Office of Scientific and Technical Information (OSTI), December 2012. http://dx.doi.org/10.2172/1057143.
Full textMorgan, F. D., W. Rodi, and D. Lesmes. 3-D spectral IP imaging: Non-invasive characterization of contaminant plumes. 1998 annual progress report. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/13567.
Full textFrye, K. M., D. P. Lesmes, F. D. Morgan, W. Rodi, W. Shi, and J. Sturrock. 3-D spectral IP imaging: Non-invasive characterization of contaminant plumes. Annual progress report, September 15, 1996--September 14, 1997. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/13566.
Full textWebb, Donald G., and Candace A. Oviatt. Non-invasive Characterization of Small-scale Patterns of Benthic Biogenic Structure by Ultrasound: Infaunal Dynamics and Sediment Structure, and Effect of Sediment Disturbance. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada634894.
Full textBunger, Andrew, Mark Kelley, and Delal Gunaydin. TASK 3 REPORT LABORATORY CHARACTERIZATION OF STRESS DEPENDENT WAVESPEED: A Non-Invasive Approach for Elucidating the Spatial Distribution of In-Situ Stress in Deep Subsurface Geologic Formations Considered for CO2 Storage. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1890651.
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