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Relevant bibliographies by topics / Non-destructive sensing

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Academic literature on the topic 'Non-destructive sensing'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Non-destructive sensing"

1

Dabas, Michel, and Harry B. Titus,. "Non-Destructive Sensing Projects beneath Auxerre Cathedral." Gesta 40, no. 2 (2001): 181–88. http://dx.doi.org/10.2307/767245.

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J. J. R. Feddes, D. Fraser, D. J. Buckley, and P. Poirier. "Electronic Sensing of Non-destructive Chewing by Growing Pigs." Transactions of the ASAE 36, no. 3 (1993): 955–58. http://dx.doi.org/10.13031/2013.28421.

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Mercklé, J., D. Sauter, J. Ragot, J. B. Lajournade, and J. M. Watrinet. "Intelligent sensing for non-destructive testing using eddy currents." NDT International 23, no. 6 (1990): 335–44. http://dx.doi.org/10.1016/0308-9126(90)90859-m.

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Taniguchi, Isao, Yukako Yonehara, Kazuhiro Masuda, Yoshihiro Hirakawa, and Mikio Uemura. "New approach for non-destructive sensing of fruit taste." Sensors and Actuators B: Chemical 13, no. 1-3 (1993): 447–50. http://dx.doi.org/10.1016/0925-4005(93)85423-8.

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Mercklé, J. "Intelligent sensing for non-destructive testing using eddy currents." NDT & E International 23, no. 6 (1990): 335–44. http://dx.doi.org/10.1016/0963-8695(90)90156-d.

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INOUE, Yoshio. "Remote and Non-Destructive Sensing for Precision Crop and Field Management. II. Prospect of remote and non-destructive sensing in precision crop management." Japanese journal of crop science 66, no. 3 (1997): 511–23. http://dx.doi.org/10.1626/jcs.66.511.

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Nagamine, Kuniaki. "Non-invasive and non-destructive chemical sensing using a wet-interfacing technique." Analytical Sciences 40, no. 4 (2024): 579–80. http://dx.doi.org/10.1007/s44211-024-00517-7.

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Ghozlen, Naïma Ben, Zoran G. Cerovic, Claire Germain, Sandrine Toutain, and Gwendal Latouche. "Non-Destructive Optical Monitoring of Grape Maturation by Proximal Sensing." Sensors 10, no. 11 (2010): 10040–68. http://dx.doi.org/10.3390/s101110040.

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Zhang, Yin, Junming Zhao, Jie Cao, and Bo Mao. "Microwave Metamaterial Absorber for Non-Destructive Sensing Applications of Grain." Sensors 18, no. 6 (2018): 1912. http://dx.doi.org/10.3390/s18061912.

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Arolkar, Neha M., Coral Ortiz, Nikita Dapurkar, Carlos Blanes, and Pablo Gonzalez-Planells. "Automated Tenderness Assessment of Okra Using Robotic Non-Destructive Sensing." Horticulturae 10, no. 9 (2024): 930. http://dx.doi.org/10.3390/horticulturae10090930.

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The quality of okra is crucial in satisfying consumer expectations, and the tenderness of okra is an essential parameter in estimating its condition. However, the current methods for assessing okra tenderness are slow and prone to errors, necessitating the development of a better, non-destructive method. The objective of the present study is to develop and test a non-destructive robotic sensor for assessing okra freshness and tenderness. A total of 120 pods were divided into two sets and stored under different conditions: 60 pods were kept in a cold chamber for 24 h (considered tender), while

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Dissertations / Theses on the topic "Non-destructive sensing"

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Rahimi, Mohammad Reza. "Distributed Stress Sensing And Non-Destructive Tests Using Mechanoluminescence Materials." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1430763721.

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Botha, Elizabeth Johanna. "Estimating nitrogen status of crops using non-destructive remote sensing techniques." Thesis, University of Limpopo, 2001. http://hdl.handle.net/10386/2562.

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Trujillo, San Martin Maite. "A general textural classification framework : non-destructive industrial inspection and remote sensing applications." Thesis, Brunel University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.483536.

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Baillie, Paul W. R. "Application of acoustic emission sensing for the non-destructive evaluation of advanced composite materials." Thesis, Brunel University, 1999. http://bura.brunel.ac.uk/handle/2438/7874.

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To evaluate the state of health of the composite, a real-time, in-situ acoustic emission (AE) damage detection system has been developed, where the monitoring of AE activity emitted from within a carbon/epoxy composite material (CFRP) is achieved using an all-fibre Mach-Zehnder interferometric sensor. The basic Mach-Zehnder configuration was modified to achieve the sensitivity needed to detect the low amplitude signals associated with AE. An active homo dyne feedback loop was employed to maintain quadrature, whereas polarisation controllers ensured that the state of polarisation of the guided

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Mushia, Mahlodi Nicacius. "Evaluating the effect of moisture stress on tomato using non-destructive remote sensing techniques." Thesis, University of Limpopo, 2009. http://hdl.handle.net/10386/498.

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Thesis (MSC.Agriculture)) --University of Limpopo, 2009.<br>The aim of this experiment was to evaluate the effect of moisture stress on tomato, using non-destructive remote sensing techniques and agronomic traits under field and greenhouse conditions. Two tomato cultivars Roma VF and Flora Dade were used for the trial. The soil was fertilized optimally for all nutrients to avoid other stresses except water stress; a 2x2 factorial experiment was conducted using two levels of water regimes (stressed vs. control (non-stressed)) having four replicates and two cultivars using a Completely Randomize

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Hasan, Md Anamul. "Non-destructive Strength Gain Monitoring of Young Masonry Mortars and Assemblage at Different Ambient Temperatures by Using Dielectric Sensing Technique." University of Manitoba, 2015. http://hdl.handle.net/1993/30307.

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The strength development of young masonry mortar and prism is studied through measuring the electrical properties of hydrating mortar by using TWIN-tape capacitance sensor. The dielectric properties over the frequency range of 10 kHz to10 MHz varies during hydration of mortar, providing a means for monitoring the strength development. This investigation confirms that the lower frequencies (less than 100 kHz) are very efficient in monitoring hydration of mortar. In addition, wireless sensing electronics is employed to monitor the strength gain process of young masonry prisms. Moreover, the fre

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Gibson, Gary Raymond. "Development of a high-speed sensing and detection system for automatic removal of packages with leaky seals from a high-speed food processing and packaging line." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/48797/1/Gary_Gibson_Thesis.pdf.

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Contamination of packaged foods due to micro-organisms entering through air leaks can cause serious public health issues and cost companies large amounts of money due to product recalls, consumer impact and subsequent loss of market share. The main source of contamination is leaks in packaging which allow air, moisture and microorganisms to enter the package. In the food processing and packaging industry worldwide, there is an increasing demand for cost effective state of the art inspection technologies that are capable of reliably detecting leaky seals and delivering products at six-sigma. Th

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Strever, Albert (Albert Erasmus). "Non-destructive assessment of leaf composition as related to growth of the grapevine (Vitis vinifera L. cv. Shiraz)." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/19963.

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Thesis (PhD(Agric))--Stellenbosch University, 2012<br>ENGLISH ABSTRACT: Field spectroscopy was used to study leaf composition and selected factors (including canopy growth manipulation and water status changes) that may impact on it in a Vitis vinifera cv. Shiraz vineyard, showing considerable variability in vigour. Temporal and spatial variability in leaf composition were incorporated into measurements by analysing leaves in different shoot positions and at different developmental stages during three different growing seasons. Irrigation and canopy manipulation treatments were also impo

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Gnyp, Martin Leon Verfasser], and Georg [Akademischer Betreuer] [Bareth. "Evaluating and Developing Methods for Non-Destructive Monitoring of Biomass and Nitrogen in Wheat and Rice Using Hyperspectral Remote Sensing / Martin Leon Gnyp. Gutachter: Georg Bareth." Köln : Universitäts- und Stadtbibliothek Köln, 2014. http://d-nb.info/1052307442/34.

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Gnyp, Martin Leon [Verfasser], and Georg [Akademischer Betreuer] Bareth. "Evaluating and Developing Methods for Non-Destructive Monitoring of Biomass and Nitrogen in Wheat and Rice Using Hyperspectral Remote Sensing / Martin Leon Gnyp. Gutachter: Georg Bareth." Köln : Universitäts- und Stadtbibliothek Köln, 2014. http://d-nb.info/1052307442/34.

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Books on the topic "Non-destructive sensing"

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International, Conference on Thermal Sensing and Imaging Diagnostic Applications (1995 Orlando Fla ). Thermosense XVII: An international conference on thermal sensing and imaging diagnostic applications : 19-21 April 1995, Orlando, Florida. SPIE, 1995.

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Čulíková, Lucie. Nedestruktivní výzkum polních systémů: Non-destructive research of field systems. Katedra archeologie Fakulty filozofické Západočeské univerzity v Plzni, 2013.

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International Conference on Thermal Sensing and Imaging Diagnostic Applications (1997 Orlando, Florida). Thermosense XIX: An international conference on thermal sensing and imaging diagnostic applications : 22-25 April, 1997, Orlando, Florida. Edited by Wurzbach Richard N, Burleigh Douglas D, and Society of Photo-optical Instrumentation Engineers. SPIE, 1997.

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Castiñeira-Ibáñez, Sergio, Daniel Tarrazó-Serrano, and Constanza Rubio Michavila, eds. Acoustic and Ultrasonic Sensing Technology in Non-Destructive Testing. MDPI, 2025. https://doi.org/10.3390/books978-3-7258-4488-3.

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(Editor), Richard N. Winzbach, and Douglas D. Burleigh (Editor), eds. Thermosense XIX: An International Conference on Thermal Sensing & Imaging Diagnostic Applications (Proceedings / Spie--The International Society for Optical En). SPIE-International Society for Optical Engine, 1997.

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Book chapters on the topic "Non-destructive sensing"

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Benedetto, Andrea, Imad L. Al-Qadi, Amir M. Alani, Luca Bianchini Ciampoli, Andreas Loizos, and Fabio Tosti. "Systematic use of transport infrastructure non-destructive assessment and remote sensing." In Eleventh International Conference on the Bearing Capacity of Roads, Railways and Airfields, Volume 2. CRC Press, 2022. http://dx.doi.org/10.1201/9781003222897-22.

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Klich, Jiří, Dagmar Klichová, and Kamil Souček. "Comparison of Non-destructive Sensing Methods on Surface Created by Waterjet Technology." In Advances in Manufacturing Engineering and Materials. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99353-9_13.

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Menesatti, Paolo, Federico Pallottino, Francesca Antonucci, Giancarlo Roccuzzo, Francesco Intrigliolo, and Corrado Costa. "Non-destructive Proximal Sensing for Early Detection of Citrus Nutrient and Water Stress." In Advances in Citrus Nutrition. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4171-3_9.

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Vinothkumar, M., and R. Malathy. "Non-destructive Intrinsic Self-sensing Method for Health Monitoring of Sub- and Superstructures." In Lecture Notes in Civil Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6713-7_6.

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Gore, Ranjana, Abhilasha Mishra, Ratnadeep Deshmukh, and Dipa Dharmadhikari. "Unearthing the Lonar Crater Using Hyperspectral Remote Sensing and Validating Through Non-destructive Approach." In Advances in Computer Science Research. Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-136-4_66.

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Lee, Yung-Chun, Shi Hoa Kuo, and Cheng-Hsien Chung. "Measurement of Surface and Lamb Waves with Application on Acoustic Sensing and Non-Destructive Evaluation." In IUTAM Symposium on Recent Advances of Acoustic Waves in Solids. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9893-1_9.

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Andersen, Kristian Gjerrestad, Gbanaibolou Jombo, Sikiru Oluwarotimi Ismail, Yong Kang Chen, Hom Nath Dhakal, and Yu Zhang. "Damage Characterisation in Composite Laminates Using Vibro-Acoustic Technique." In Springer Proceedings in Energy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_34.

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AbstractThe need to characterise in-service damage in composite structures is increasingly becoming important as composites find higher utilisation in wind turbines, aerospace, automotive, marine, among others. This paper investigates the feasibility of simplifying the conventional acousto-ultrasonic technique set-up for quick and economic one-sided in-service inspection of composite structures. Acousto-ultrasonic technique refers to the approach of using ultrasonic transducer for local excitation while sensing the material response with an acoustic emission sensor. However, this involves tran

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Yang, Yang, Thomas Vervust, Frederick Bossuyt, et al. "Non-destructive evaluation of an infusion process using capacitive sensing technique." In Emerging Technologies in Non-Destructive Testing VI. CRC Press, 2015. http://dx.doi.org/10.1201/b19381-49.

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Pandis, C., G. Georgoussis, V. Peoglos, et al. "Strain and damage sensing in carbon fiber polymer-matrix composite by electrical resistance measurement." In Emerging Technologies in Non-Destructive Testing V. CRC Press, 2012. http://dx.doi.org/10.1201/b11837-66.

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Lee, S., J. Yi, S. Lee, J. Byun, E. Thostenson, and T. Chu. "Damage sensing of carbon nanotubes embedded glass fiber composites based on electrical resistance change." In Emerging Technologies in Non-Destructive Testing V. CRC Press, 2012. http://dx.doi.org/10.1201/b11837-67.

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Conference papers on the topic "Non-destructive sensing"

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Bi, Siwen, Bo Zhang, Cheng Long, Siyuan Jiang, and Bingpeng Hao. "A terahertz detector for non-destructive testing of wood." In Infrared Remote Sensing and Instrumentation XXXII, edited by Marija Strojnik and Jörn Helbert. SPIE, 2024. http://dx.doi.org/10.1117/12.3029809.

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Narayan, Subrahmanya Keremane, Dhruvam Pandey, and Rajshekhar Gannavarpu. "Non-destructive surface defect metrology using deep learning and diffraction phase microscopy." In Computational Optical Sensing and Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cosi.2024.cth4b.7.

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We present an approach that utilizes a deep learning network to compute phase gradient for defect identification. The efficacy of this method is showcased through the analysis of experimentally acquired noisy interferograms.

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Budiakivska, Daryna, Dr Nan Tao, Adam Styk, Małgorzata Kujawińska, and Andrei G. Anisimov. "Multimodal optical non-destructive evaluation of impact damage in composite materials." In Multimodal Sensing and Artificial Intelligence for Sustainable Future, edited by Claas Falldorf, Francesco Soldovieri, Vittorio Bianco, and Pascal Picart. SPIE, 2025. https://doi.org/10.1117/12.3066629.

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Chegoonian, Amir M., Keshav Singh, Charles Geddes, Christian Hansen, and Hongquan Wang. "Multispectral Drone Imaging for Non-Destructive Estimation of Nitrogen Content in Canola and Wheat." In 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2024. https://doi.org/10.1109/whispers65427.2024.10876484.

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Ohodnicki, Paul R., Khurram Naeem, Pengdi Zhang, et al. "Recent Developments in Fiber Optic Sensing for Energy Infrastructure Applications." In Bragg Gratings, Photosensitivity, and Poling in Glass Waveguides. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/bgpp.2024.bm4a.6.

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Fiber optic sensing technologies show unique relevance for energy infrastructure sensing. Prevalence for such a broad set of applications results in part from inherent advantages of fiber optic-based sensing modalities as compared to traditional electrical sensor platforms, as well as flexibility of the platform to be tailored towards unique attributes and requirements of different applications. A non-exhaustive overview of several emerging trends within the field of optical fiber sensing technology and energy infrastructure monitoring is presented, including both recent results as well as fut

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Puebla Hellmann, G., B. Josteinsson, S. Josephy, and A. Morales. "Nitrogen Vacancy Quantum Sensing for Current Density Imaging with Sub 30 nm Resolution." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0217.

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Abstract Non-destructive failure analysis is often limited by the sensitivity or the resolution of the method utilized, making state-of-the-art integrated circuits difficult to analyze. Here, we present a powerful method for surface failure analysis, based on scanning a single Nitrogen Vacancy center over the sample. This results in quantitative current density maps with high sensitivity and sub-30 nm resolution, detecting for example, open and short circuits and visualizing the current flow. We demonstrate the technology by mapping current flow through device structures separated by gaps as l

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Quinn, Meghan C. L., Anna M. Wagner, Adrian Doran, Constantine Coclin, and Katherine E. Winters. "Non-Destructive Distributed Fiber Optic Sensing Considerations." In Geotechnical Frontiers 2025. American Society of Civil Engineers, 2025. https://doi.org/10.1061/9780784485989.037.

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Bekhtin, Yuri S., Andrey A. Bryantsev, Damião P. Malebo, and Alexey A. Lupachev. "Non-destructive wavelet-based despeckling in SAR images." In SPIE Remote Sensing, edited by Claudia Notarnicola, Simonetta Paloscia, and Nazzareno Pierdicca. SPIE, 2014. http://dx.doi.org/10.1117/12.2066972.

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Cancio, P., S. Bartalini, L. Consolino, et al. "THz technologies for sensing and non-destructive testing." In Optical Instrumentation for Energy and Environmental Applications. OSA, 2014. http://dx.doi.org/10.1364/e2.2014.jw6a.2.

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Graziano, Fabiana, Ciro Tortora, Veronica Vespini, et al. "Multimodal non-destructive techniques for composite inspection." In Multimodal Sensing and Artificial Intelligence: Technologies and Applications III, edited by Ettore Stella, Dariusz Ceglarek, Qian Kemao, and Francesco Soldovieri. SPIE, 2023. http://dx.doi.org/10.1117/12.2673953.

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Reports on the topic "Non-destructive sensing"

1

Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj

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Agassi, Menahem, Michael J. Singer, Eyal Ben-Dor, et al. Developing Remote Sensing Based-Techniques for the Evaluation of Soil Infiltration Rate and Surface Roughness. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7586479.bard.

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The objective of this one-year project was to show whether a significant correlation can be established between the decreasing infiltration rate of the soil, during simulated rainstorm, and a following increase in the reflectance of the crusting soil. The project was supposed to be conducted under laboratory conditions, using at least three types of soils from each country. The general goal of this work was to develop a method for measuring the soil infiltration rate in-situ, solely from the reflectance readings, using a spectrometer. Loss of rain and irrigation water from cultivated fields is

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti

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