scholarly journals Performing Calibration of Transmittance by Single RGB-LED within the Visible Spectrum

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3492 ◽  
Author(s):  
Daniel Carreres-Prieto ◽  
Juan T. García ◽  
Fernando Cerdán-Cartagena ◽  
Juan Suardiaz-Muro
Keyword(s):  
Research Work ◽  
Visible Spectrum ◽  
Cost Effective ◽  
Calibration Procedure ◽  
Invasive Technique ◽  
Optical Elements ◽  
Simple Method ◽  
Non Invasive ◽  
Sewer Network ◽  
Incandescent Lamps

Spectrophotometry has proven to be an effective non-invasive technique for the characterization of the pollution load of sewer systems, enabling compliance with new environmental protection regulations. This type of equipment has costs and an energy consumption which make it difficult to place it inside a sewer network for real-time and massive monitoring. These shortcomings are mainly due to the use of incandescent lamps to generate the working spectrum as they often require the use of optical elements, such as diffraction gratings, to work. The search for viable alternatives to incandescent lamps is key to the development of portable equipment that is cheaper and with a lower consumption that can be used in different points of the sewer network. This research work achieved the following results in terms of the measured samples: First, the development a calibration procedure that enables the use of RGB-LED technology as a viable alternative to incandescent lamps, within the range of 510 to 645 nm, with high accuracy. Secondly, demonstration of a simple method to model the transmittance value of a specific wavelength without the need for optical elements, achieving a cost-effective equipment. Thirdly, it provides a simple method to obtain the transmittance based on the combination of RGB colors. Finally its viability is demonstrated for the spectral analysis of wastewater.

scholarly journals Spectroscopy Transmittance by LED Calibration

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2951 ◽  
Author(s):  
Daniel Carreres-Prieto ◽  
Juan T. García ◽  
Fernando Cerdán-Cartagena ◽  
Juan Suardiaz-Muro
Keyword(s):  
Real Time ◽  
Light Emitting Diode ◽  
Research Work ◽  
Cost Effective ◽  
Spectral Width ◽  
Calibration Procedure ◽  
Pollution Monitoring ◽  
Light Emitting ◽  
Wide Range ◽  
Incandescent Lamps

Local administrations demand real-time and continuous pollution monitoring in sewer networks. Spectroscopy is a non-destructive technique that can be used to continuously monitor quality in sewers. Covering a wide range of wavelengths can be useful for improving pollution characterization in wastewater. Cost-effective and in-sewer spectrophotometers would contribute to accomplishing discharge requirements. Nevertheless, most available spectrometers are based on incandescent lamps, which makes it unfeasible to place them in a sewerage network for real-time monitoring. This research work shows an innovative calibration procedure that allows (Light-Emitting Diode) LED technology to be used as a replacement for traditional incandescent lamps in the development of spectrophotometry equipment. This involves firstly obtaining transmittance values similar to those provided by incandescent lamps, without using any optical components. Secondly, this calibration process enables an increase in the range of wavelengths available (working range) through a better use of the LED’s spectral width, resulting in a significant reduction in the number of LEDs required. Thirdly, this method allows important reductions in costs, dimensions and consumptions to be achieved, making its implementation in a wide variety of environments possible.

scholarly journals Rapid identification of wood species using XRF and neural network machine learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Aaron N. Shugar ◽  
B. Lee Drake ◽  
Greg Kelley
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Convolutional Neural Network ◽  
Wood Species ◽  
Cost Effective ◽  
Rapid Identification ◽  
Invasive Technique ◽  
X Ray ◽  
Non Invasive ◽  
Cost Effective Alternative

AbstractAn innovative approach for the rapid identification of wood species is presented. By combining X-ray fluorescence spectrometry with convolutional neural network machine learning, 48 different wood specimens were clearly differentiated and identified with a 99% accuracy. Wood species identification is imperative to assess illegally logged and transported lumber. Alternative options for identification can be time consuming and require some level of sampling. This non-invasive technique offers a viable, cost-effective alternative to rapidly and accurately identify timber in efforts to support environmental protection laws and regulations.

scholarly journals Field gamma spectrometry, Monte Carlo simulations and potential of non-invasive measurements

2012 ◽  
Vol 39 (1) ◽  
pp. 40-47 ◽  
Author(s):  
Guillaume Guérin ◽  
Norbert Mercier
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Dose Rate ◽  
Gamma Dose ◽  
Luminescence Dating ◽  
Gamma Dose Rate ◽  
Invasive Technique ◽  
Simple Method ◽  
Dose Rates ◽  
Non Invasive

Abstract The determination of gamma dose rates is of prior importance in the field of luminescence dating methods. In situ measurements are usually performed by the insertion of dosimeters or a portable gamma spectrometer cell in sediments. In this paper, Monte-Carlo simulations using the Geant4 toolkit allow the development of a new technique of insitu gamma dose rate evaluations: a spectrometer cell is placed on the surface of sediments under excavation to acquire successive spectra as sediments are removed by excavations. The principle of this non-invasive technique is outlined and its potential is discussed, especially in the case of environments in which radioelements are heterogeneously distributed. For such cases, a simple method to reconstruct gamma dose rate values with surface measurements using an attenuator is discussed, and an estimation of errors is given for two simple cases. This technique appears to be applicable, but still needs experimental validation.

scholarly journals 24 Hours Urinary Hydroxyproline - A Noninvasive, Cost-Effective and Early Biochemical Marker Which May be Used to Screen the Osteoporotic Lesion in Postmenopausal Women

2015 ◽  
Vol 6 (4) ◽  
pp. 21-24
Author(s):  
Mousumi Das ◽  
Utpal Kumar Biswas ◽  
Arun Kumar
Keyword(s):  
Bone Turnover ◽  
Postmenopausal Women ◽  
Biochemical Marker ◽  
Premenopausal Women ◽  
Cost Effective ◽  
Invasive Technique ◽  
Biochemical Bone Marker ◽  
Medical Sciences ◽  
Urinary Hydroxyproline ◽  
Non Invasive

Introduction: Osteoporosis results due increased rate of bone turnover. It has multifactorial etiology and most common in women after menopause. Objective: The current study was aimed to assess the rate of bone turnover towards detection of osteoporotic changes by measuring 24 hours urinary hydroxyproline which is an early as well as non- invasive biochemical bone marker. Methods: Urinary hydroxyproline was measured in 40 postmenopausal women and compared with similar number of premenopausal women as controls. Results: 24 hours urinary hydroxyproline levels were significantly higher (p<0.001) in postmenopausal women than premenopausal groups. This indicates a higher rate of bone turnover suggesting osteoporotic changes. 24 hour urinary hydroxyproline is also positively correlated (r= 0.934) with age. Conclusion: The present study suggests that measurement of 24 hours urinary hydroxyproline which is a cost-effective and non- invasive technique, may be used for screening and early detection of osteoporotic changes in women of postmenopausal age group.DOI: http://dx.doi.org/10.3126/ajms.v6i4.11853 Asian Journal of Medical Sciences Vol.6(4) 2015 21-24   

scholarly journals Autofluorescence Imaging of the Skin Is an Objective Non-Invasive Technique for Diagnosing Pseudoxanthoma Elasticum

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 260
Author(s):  
Klára Farkas ◽  
Szabolcs Bozsányi ◽  
Dóra Plázár ◽  
András Bánvölgyi ◽  
Luca Fésűs ◽  
...  
Keyword(s):  
Cost Effective ◽  
Pseudoxanthoma Elasticum ◽  
Skin Lesions ◽  
Cardiovascular Complications ◽  
Invasive Technique ◽  
The Novel ◽  
Autofluorescence Imaging ◽  
Non Invasive ◽  
In Vivo Diagnostics

Pseudoxanthoma elasticum (PXE) is a rare multisystemic autosomal recessive connective tissue disease. In most cases, skin manifestations of PXE are the first to develop, followed later by severe ocular and cardiovascular complications. In our present study, in addition to dermoscopy, we introduced novel techniques, autofluorescence (AF) and diffuse reflectance (DR) imaging for the assessment of affected skin sites of five PXE patients. PXE-affected skin areas in most skin sites showed a previously observed pattern upon dermoscopic examination. With the novel imaging, PXE-affected skin lesions displayed high AF intensity. During our measurements, significantly higher mean, minimum and maximum AF intensity values were found in areas of PXE-affected skin when compared to uninvolved skin. Conversely, images acquired with the use of 660 and 940 nm illumination showed no mentionable difference. Our results demonstrate that AF imaging may be used in the in vivo diagnostics and quantification of the severity of the skin lesions of PXE patients. In addition, it is a safe, fast and cost-effective diagnostic method. AF imaging may be also used to objectively monitor the efficacy of the possible novel therapeutic approaches of PXE in the future.

Evaluation of Diagnostic Performance of Machine Learning Algorithms to Classify the Fetal Heart Rate Baseline from Cardiotocograph

2022 ◽  
Vol 9 (3) ◽  
pp. 0-0
Keyword(s):  
Machine Learning ◽  
Fetal Heart ◽  
Learning Algorithms ◽  
Cost Effective ◽  
Machine Learning Algorithms ◽  
Invasive Technique ◽  
Visual Estimation ◽  
Altman Plot ◽  
Non Invasive

Cardiotocography (CTG) is the widely used cost-effective, non-invasive technique to monitor the fetal heart and mother’s uterine contraction pressure to assess the wellbeing of the fetus. The most important parameters of fetal heart is the baseline upon which the other parameters viz. acceleration, deceleration and variability depend. Accurate classification of the baseline into either normal, bradycardia or tachycardia is thus important to assess the fetal-health. Since visual estimation has its limitations, the authors use various Machine Learning Algorithms to classify the baseline. 110 CTG traces from CTU-UHB dataset, were divided into three subsets using stratified sampling to ensure that the sample is the accurate depiction of the population. The results were analyzed using various statistical methods and compared with the visual estimation by three obstetricians. FURIA provided greatest accuracy of 98.11%. From the analysis of Bland-Altman Plot FURIA was also found to have best agreement with physicians’ estimation.

A novel use of contrast-enhanced ultrasound in uterine artery embolization

2020 ◽  
Vol 4 ◽  
pp. 8
Author(s):  
Jemianne Bautista Jia ◽  
Eric Mastrolonardo ◽  
Mateen Soleman ◽  
Ilya Lekht
Keyword(s):  
Uterine Artery Embolization ◽  
Uterine Artery ◽  
Imaging Modality ◽  
Cost Effective ◽  
Contrast Enhanced Ultrasound ◽  
Artery Embolization ◽  
Non Invasive ◽  
Contrast Enhanced

Contrast-enhanced ultrasound (CEUS) is a cost-effective, quick, and non-invasive imaging modality that has yet to be incorporated in uterine artery embolization (UAE). We present two cases that demonstrate the utility of CEUS in UAE for the identification of uterine-ovarian collaterals which otherwise can result in ineffective fibroid treatment and non-target embolization.

Sign in / Sign up

Export Citation Format

Share Document