This study aimed at validating the anatomical sites for the measurement of infrared (IR) body surface temperature as a tool to monitor the pigs’ response to handling and transport stress. The selected anatomical sites were the neck (infrared neck temperature—IRNT), rump (infrared rump temperature—IRRT), orbital (infrared orbital temperature—IROT) and behind ears (infrared behind ears temperature—IRBET) regions. A total of 120 pigs were handled from the finishing pen to the loading dock through a handling test course. Two handling types (gentle vs. rough) and number of laps (1 vs. 3) were applied according to a 2 × 2 factorial design. After loading, pigs were transported for 40 min and returned to their home pens. Animal behavior, heart rate, rectal temperature and salivary cortisol concentration were measured for validation. Increased IR body temperature, heart rate and salivary cortisol levels were observed in response to rough handling and longer distance walk (P < 0.05 for all). The greatest correlations were found between IROT and IRBET temperatures and salivary cortisol concentration at the end of the handling test (r = 0.49 and r = 0.50, respectively; P < 0.001 for both). Therefore, IR pig’s head surface temperature may be useful for a comprehensive assessment of the physiological response to handling and transport stress.
The presented approach addresses a review on the overheating which occurs during radiological examinations such as MRI and a series of thermal experiments to determine the thermal suitable fabric material which should be used for radiological gowns. Moreover, an automatic system for detecting and tracking of the thermal fluctuation is presented. It applies HSV based kernelled k-means clustering which initializes and controls the points which lie on the Region of Interest (ROI) boundary. Afterwards a particle filter tracks the targeted ROI during the video sequence independent to previous locations of the overheating spots. The proposed approach was tested during some experiments and under conditions very similar to those used during real radiology exams. Six subjects have voluntarily participated in these experiments. To simulate the hot spots occurring during the radiology, a controllable heat source was utilized near the subjects body. The results indicate promising accuracy for the proposed approach to track the hot spots. Some approximations were used regarding the * Bardia Yousefi, Xavier P.V. MaldagueEmail address: bardia.yousefi@ieee.org and Xavier.Maldague@gel.ulaval.ca. Tel: (+1)418-656-2962 (Bardia Yousefi, Julien Fleuret, Hai Zhang., Xavier P.V. Maldague )
Preprint submitted to Draft version of Applied OpticNovember 21, 2016 transmittance of the atmosphere and emissivity of the fabric could be neglected because of the independency of the proposed approach for these parameters.The approach can track the heating spots continuously and correctly, even for moving subjects, and provides considerable robustness against motion artifact, which usually occurs during most medical radiology procedures.
In this article, pulsed micro-laser line thermography (pulsed micro-LLT) was used to detect the submillimeter porosities in a 3D preformed carbon fiber reinforced polymer composite specimen. X-ray microcomputed tomography was used to verify the thermographic results. Then, finite element analysis was performed on the corresponding models on the basis of the experimental results. The same infrared image processing techniques were used for the experimental and simulation results for comparative purposes. Finally, a comparison of experimental and simulation postprocessing results was conducted. In addition, an analysis of probability of detection was performed to evaluate the detection capability of pulsed micro-LLT on submillimeter porosity.
Dimensional reduction methods have significantly improved the simplification of Pulsed Thermography (PT) data while improving the accuracy of the results. Such approaches reduce the quantity of data to analyze and improve the contrast of the main defects in the samples contributed to their popularity. Many works have been proposed in the literature mainly based on improving the Principal Component Thermography (PCT). Recently the Independent Component Analysis (ICA) has been a topic of attention. Many different approaches have been proposed in the literature to solve the ICA. In this paper, we investigated several recent ICA methods and evaluated their influence on PT data compared with the state-of-the-art methods. We conducted our evaluation on reference CFRP samples with known defects. We found that ICA outperform PCT for small and deep defects. For other defects ICA results are often not far from the results obtained by PCT. However, the frequency of acquisition and the ICA methods have a great influence on the results.
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