scholarly journals The essence of thermovision research in the prevention of fires in underground workings

2021 ◽  
Vol 278 ◽  
pp. 01029
Author(s):  
Marta Stempniak
Keyword(s):  
Thermal Imaging ◽  
Diagnostic Method ◽  
Human Life ◽  
Temperature Measurements ◽  
Common Cause ◽  
Electrical Devices ◽  
Underground Workings ◽  
Critical Situations

Underground fires are phenomena that pose a possibly fatal threat to human life, and they are particulary dangerous in the environment of underground workings where the amount of space and number possible escape routes are limited. Therefore, it is important to carefully control changes in temperature and the condition of machinery and equipment used in mine in order to avoid critical situations. The most common cause of fires are defects in mechanical and electrical devices, in order to conduct an analysis of their condition thermal imaging is perfectly suitable. In this article approximed a problem of underground fires, thermal imaging diagnostic method, temperature measurements taken in the KWK ROW Ruch Chwałowice in Rybnik, made an analysis of publicly available data from the KGHM mines and methods of combating the factors leading to the fire emergency been proposed.

Component-wise Power Estimation of Electrical Devices Using Thermal Imaging

2021 ◽  
pp. 1-1
Author(s):  
Christian Herglotz ◽  
Simon Grosche ◽  
Akarsh Bharadwaj ◽  
Andre Kaup
Keyword(s):  
Thermal Imaging ◽  
Power Estimation ◽  
Electrical Devices

scholarly journals Practical bioinstrumentation developments for AC magnetic field-mediated magnetic nanoparticle heating applications

2018 ◽  
Author(s):  
Mahendran Subramanian ◽  
Arkadiusz Miaskowski ◽  
Ajit K. Mahapatro ◽  
Ondrej Hovorka ◽  
Jon Dobson
Keyword(s):  
Drug Release ◽  
Real Time ◽  
Thermal Imaging ◽  
Heat Dissipation ◽  
Temperature Measurements ◽  
Whole Body ◽  
Planar Coil ◽  
Release Analysis

AbstractHeat dissipation during magnetization reversal processes in magnetic nanoparticles (MNP), upon exposure to alternating magnetic fields (AMF), has been extensively studied in relation to applications in magnetic fluid hyperthermia (MFH). This current paper demonstrates the design, fabrication, and evaluation of an efficient instrument, operating on this principle, for use as (i) a non-contact, in vitro, real-time temperature monitor; (ii) a drug release analysis system (DRAS); (iii) a high flux density module for AMF-mediated MNP studies; and (iv) an in vivo coil setup for real-time, whole body thermal imaging. The proposed DRAS is demonstrated by an AMF-mediated drug release proof-of-principle experiment. Also, the technique described facilitates non-contact temperature measurements of specific absorption rate (SAR) as accurately as temperature measurements using a probe in contact with the sample. Numerical calculations estimating the absolute and root mean squared flux densities, and other MNP – AMF studies suggest that the proposed stacked planar coil module could be employed for calorimetry. Even though the proposed in vivo coil setup could be used for real-time, whole body thermal imaging (within the limitations due to issues of penetration depth), further design effort is required in order to enhance the energy transfer efficiency.

scholarly journals Medical thermography: capabilities and perspectives

2018 ◽  
Vol 99 (2) ◽  
pp. 264-270 ◽  
Author(s):  
A M Morozov ◽  
E M Mokhov ◽  
V A Kadykov ◽  
A V Panova
Keyword(s):  
Human Body ◽  
Thermal Imaging ◽  
Diagnostic Method ◽  
High Efficiency ◽  
Clinical Medicine ◽  
Modern Medicine ◽  
Wide Range ◽  
History Of ◽  
Further Development ◽  
Physical Principles

Medical thermography is a modern diagnostic method that is currently gaining popularity due to high informative value and non-invasiveness. The aim of the study was to review the capabilities and prospects of medical thermography in modern medicine. The analysis of domestic and foreign literature on the application of medical thermography methods for the period of 2012-2017 was performed. The article presents the capabilities of imaging in various fields of medicine, evaluates the prospects of further development of the method, advances and disadvantages of thermography were identified. It also provides the review of the application of medical infrared thermography in clinical medicine. The experience of thermography application in various medical fields was investigated: angiology, otolaryngology, surgery, neurology, obstetrics and gyenecology, etc. Apart from medical aspects of this topic, the article discusses the history of medical thermography as well as provides the physical principles of this method. At present, thermal imaging can solve a wide range of problems: determining the presence of changes in the human body, and, as a result, the probability of pathology development, monitoring the effectiveness of treatment and rehabilitation. Every year more and more studies are carried out, confirming the high efficiency, reliability and safety of thermography, thermographic screenings are suggested, that can be assumed as prediction of future method's popularity.

scholarly journals Detection of Sepsis Patients Using Biomarkers Based on Machine Learning

2021 ◽  
Author(s):  
Mahsa Amin Eskandari ◽  
Mohammad Karimi Moridani ◽  
Salar Mohammadi
Keyword(s):  
Machine Learning ◽  
Analytical Study ◽  
Diagnostic Method ◽  
Blood Parameters ◽  
Measured Data ◽  
P Value ◽  
Complement Protein ◽  
Common Cause ◽  
Normal Individuals ◽  
Patients At Risk

Abstract Objective: Sepsis is the second most common cause of death in patients with non-cardiovascular diseases admitted to the ICU. It is one of the top ten reasons for death among all hospitalized patients. This study aimed to compare the value of some blood parameters in the diagnosis of sepsis and investigate their relationship to select a more practical diagnostic method.Method: In this descriptive-analytical study, 208 patients with sepsis admitted to the ICU were selected. Then the physiological parameters of patients and normal individuals were measured. Data analysis was performed using the P-value and effect size methods and MATLAB software. To classify the disease, the MLP, RBF, and KNN methods were used.Result: The values of the HR, O­2Sat, and SBP in patients with sepsis have changed significantly compared to normal conditions. The classification results using different classifications showed that the values of specificity, sensitivity, and accuracy in the classifier are more than MLP and RBF and are equal to 98%,100%, and 99%, respectively.Conclusion: Clinically, accurate detection of sepsis and the prediction of the patients at risk of developing sepsis is useful for improving treatment. Given the significant differences between HR, O­2Sat, and SBP between normal and sepsis patients in this study, it may be possible to use these tests as simple tests instead of the complement protein 3 (C3) and Procalcitonin (PCT) tests to diagnose sepsis in the ICU.

Favouring a Dignified End to Human Life: Common Cause v. Union of India

2018 ◽  
Vol 5 (1) ◽  
pp. 109-115
Author(s):  
Niraj Kumar ◽  
Akhilendra Pratap Singh
Keyword(s):  
Human Life ◽  
Common Cause

scholarly journals Assessing the Performance of a Low-Cost Thermal Camera in Proximal and Aerial Conditions

2020 ◽  
Vol 12 (21) ◽  
pp. 3591
Author(s):  
Matheus Gabriel Acorsi ◽  
Leandro Maria Gimenez ◽  
Maurício Martello
Keyword(s):  
Thermal Imaging ◽  
Low Cost ◽  
Temperature Measurements ◽  
Aerial Images ◽  
Thermal Camera ◽  
Calibration Models ◽  
Accurate Temperature ◽  
Thermal Cameras ◽  
Accuracy Indices ◽  
Better Than

The development of low-cost miniaturized thermal cameras has expanded the use of remotely sensed surface temperature and promoted advances in applications involving proximal and aerial data acquisition. However, deriving accurate temperature readings from these cameras is often challenging due to the sensitivity of the sensor, which changes according to the internal temperature. Moreover, the photogrammetry processing required to produce orthomosaics from aerial images can also be problematic and introduce errors to the temperature readings. In this study, we assessed the performance of the FLIR Lepton 3.5 camera in both proximal and aerial conditions based on precision and accuracy indices derived from reference temperature measurements. The aerial analysis was conducted using three flight altitudes replicated along the day, exploring the effect of the distance between the camera and the target, and the blending mode configuration used to create orthomosaics. During the tests, the camera was able to deliver results within the accuracy reported by the manufacturer when using factory calibration, with a root mean square error (RMSE) of 1.08 °C for proximal condition and ≤3.18 °C during aerial missions. Results among different flight altitudes revealed that the overall precision remained stable (R² = 0.94–0.96), contrasting with the accuracy results, decreasing towards higher flight altitudes due to atmospheric attenuation, which is not accounted by factory calibration (RMSE = 2.63–3.18 °C). The blending modes tested also influenced the final accuracy, with the best results obtained with the average (RMSE = 3.14 °C) and disabled mode (RMSE = 3.08 °C). Furthermore, empirical line calibration models using ground reference targets were tested, reducing the errors on temperature measurements by up to 1.83 °C, with a final accuracy better than 2 °C. Other important results include a simplified co-registering method developed to overcome alignment issues encountered during orthomosaic creation using non-geotagged thermal images, and a set of insights and recommendations to reduce errors when deriving temperature readings from aerial thermal imaging.

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