965 resultados para Urban Heat Island, thermal imaging, emissivity, urban canyon, painted materials
Resumo:
In this paper, we will present an overview of the smart grid defining the three main systems that compose it: smart infrastructure system, smart management system and smart protection system. We will conceptualize a functionality of smart management system, the conservative voltage reduction, citing its benefits and its history of application. And, finally, we'll cover a test in which we reduce the nominal voltages on incandescent bulbs, CFL and LED, in the context of residential lighting, and on LED and HPS, in the context of public lighting. The test aims to check whether the voltage reduction adversely affects sources of lighting by measuring the temperature manually with a thermal imaging camera FLIR and illuminance with a LUX meter. The set of power factor, total harmonic distortion, and input power values will be collected automatically through the power quality Analyzer Fluke 345 with a probe Fluke Hall Effect Current. For residential lighting, it was found that both CFL and LED had good performance with the smallest variations in illuminance. Between both, the LED source had the lowest harmonics and the lowest power consumption, on the other hand incandescent bulbs had a bad performance as expected. Public light sources also had a good performance and obtained power factors within the standards, as opposed to the CFL and LED residential sources. The data collected clearly shows the feasibility for nominal voltage reductions. Even with small reductions, there are possibilities of savings which can be passed on to the utilities and consumers
Resumo:
In this paper, we will present an overview of the smart grid defining the three main systems that compose it: smart infrastructure system, smart management system and smart protection system. We will conceptualize a functionality of smart management system, the conservative voltage reduction, citing its benefits and its history of application. And, finally, we'll cover a test in which we reduce the nominal voltages on incandescent bulbs, CFL and LED, in the context of residential lighting, and on LED and HPS, in the context of public lighting. The test aims to check whether the voltage reduction adversely affects sources of lighting by measuring the temperature manually with a thermal imaging camera FLIR and illuminance with a LUX meter. The set of power factor, total harmonic distortion, and input power values will be collected automatically through the power quality Analyzer Fluke 345 with a probe Fluke Hall Effect Current. For residential lighting, it was found that both CFL and LED had good performance with the smallest variations in illuminance. Between both, the LED source had the lowest harmonics and the lowest power consumption, on the other hand incandescent bulbs had a bad performance as expected. Public light sources also had a good performance and obtained power factors within the standards, as opposed to the CFL and LED residential sources. The data collected clearly shows the feasibility for nominal voltage reductions. Even with small reductions, there are possibilities of savings which can be passed on to the utilities and consumers
Resumo:
The widespread mortality of hibernating bats is associated with the emerging infectious disease white-nose syndrome (WNS), and has provoked a strong interest in understanding which bats will survive, and why? The ability of infected bats to resist WNS may depend upon variation in the expression of different characteristics. In a captive colony of big brown bats, I sought to characterize the phenotypic variability, repeatability, and survivability for several key ¿survival¿ traits, including: torpor patterns, microclimate preferences, and wound healing capacity. Torpor patterns were profiled using temperature sensitive dataloggers throughout the hibernation season, while microclimate preferences were quantified by using temperature-graded boxes and thermal imaging. In order to assess wound healing capacity, small wing biopsies were obtained from each bat and healing progress was tracked for one month. Individuals exhibited a wide range of phenotypes that were significantly influenced by sex and body condition. Repeatability estimates suggest that there is not a strong genetic basis for the observed variation in torpor patterns or microclimate preferences. Certain phenotypes (e.g., BMI) were associated with an increased probability of overwinter survivorship, which suggests a basis for intra-species differences in WNS susceptibility. The results from this project provide novel insight into what we know about ¿who will survive,¿ and will influence the direction and implementation of future conservation and mitigation strategies.
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OBJECT: The aim of our study was to demonstrate the image quality of the new device using human cadavers, extending the horizon of available imaging modalities in forensic medicine. MATERIALS AND METHODS: Six human cadavers were examined, revealing C-arm data sets of the head, neck thorax, abdomen and pelvis. High-resolution mode was performed with 500 fluoroscopy shots during a 190 degrees orbital movement with a constant tube voltage of 100 kV and a current of 4.6 mA. Based on these data sets subsequent three-dimensional reconstructions were generated. RESULTS: Reconstructed data sets revealed high-resolution images of all skeletal structures in a near-CT quality. The same image quality was available in all reconstruction planes. Artefacts caused by restorative dental materials are less accentuated in CBCT data sets. The system configuration was not powerful enough to generate sufficient images of intracranial structures. CONCLUSION: After the here-demonstrated encouraging preliminary results, the forensic indications that would be suitable for imaging with a 3D C-arm have to be defined. Promising seems the visualization local limited region of interest as the cervical spine or the facial skeleton.
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This report provides an analysis of the thermal performance and emissions characteristics of improved biomass stoves constructed using earthen materials. Commonly referred to as mud stoves, this type of improved stove incorporates high clay content soil with an organic binder in the construction of its combustion chamber and body. When large quantities of the mud material are used to construct the stove body, the stove does not offer significant improvements in fuel economy or air quality relative to traditional open fire cooking. This is partly because a significant amount of heat is absorbed by the mass of the stove reducing combustion efficiency and heat transfer to the cook pot. An analysis of the thermal and mechanical properties of stove materials was also performed. A material mixture containing a one‐to‐one ratio by volume of high content clay soil and straw was found to have thermal properties comparable to fired ceramics used in more advanced improved stove designs. Feedback from mud stove users in Mauritania and Mali, West Africa was also collected during implementation. Suggestions for stove design improvements were developed based on this information and the data collected in the performance, emissions, and material properties analysis. Design suggestions include reducing stove height to accommodate user cooking preferences and limiting overall stove mass to reduce heat loss to the stove body.
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The work described in this thesis had two objectives. The first objective was to develop a physically based computational model that could be used to predict the electronic conductivity, Seebeck coefficient, and thermal conductivity of Pb1-xSnxTe alloys over the 400 K to 700 K temperature as a function of Sn content and doping level. The second objective was to determine how the secondary phase inclusions observed in Pb1-xSnxTe alloys made by consolidating mechanically alloyed elemental powders impact the ability of the material to harvest waste heat and generate electricity in the 400 K to 700 K temperature range. The motivation for this work was that though the promise of this alloy as an unusually efficient thermoelectric power generator material in the 400 K to 700 K range had been demonstrated in the literature, methods to reproducibly control and subsequently optimize the materials thermoelectric figure of merit remain elusive. Mechanical alloying, though not typically used to fabricate these alloys, is a potential method for cost-effectively engineering these properties. Given that there are deviations from crystalline perfection in mechanically alloyed material such as secondary phase inclusions, the question arises as to whether these defects are detrimental to thermoelectric function or alternatively, whether they enhance thermoelectric function of the alloy. The hypothesis formed at the onset of this work was that the small secondary phase SnO2 inclusions observed to be present in the mechanically alloyed Pb1-xSnxTe would increase the thermoelectric figure of merit of the material over the temperature range of interest. It was proposed that the increase in the figure of merit would arise because the inclusions in the material would not reduce the electrical conductivity to as great an extent as the thermal conductivity. If this were to be true, then the experimentally measured electronic conductivity in mechanically alloyed Pb1-xSnxTe alloys that have these inclusions would not be less than that expected in alloys without these inclusions while the portion of the thermal conductivity that is not due to charge carriers (the lattice thermal conductivity) would be less than what would be expected from alloys that do not have these inclusions. Furthermore, it would be possible to approximate the observed changes in the electrical and thermal transport properties using existing physical models for the scattering of electrons and phonons by small inclusions. The approach taken to investigate this hypothesis was to first experimentally characterize the mobile carrier concentration at room temperature along with the extent and type of secondary phase inclusions present in a series of three mechanically alloyed Pb1-xSnxTe alloys with different Sn content. Second, the physically based computational model was developed. This model was used to determine what the electronic conductivity, Seebeck coefficient, total thermal conductivity, and the portion of the thermal conductivity not due to mobile charge carriers would be in these particular Pb1-xSnxTe alloys if there were to be no secondary phase inclusions. Third, the electronic conductivity, Seebeck coefficient and total thermal conductivity was experimentally measured for these three alloys with inclusions present at elevated temperatures. The model predictions for electrical conductivity and Seebeck coefficient were directly compared to the experimental elevated temperature electrical transport measurements. The computational model was then used to extract the lattice thermal conductivity from the experimentally measured total thermal conductivity. This lattice thermal conductivity was then compared to what would be expected from the alloys in the absence of secondary phase inclusions. Secondary phase inclusions were determined by X-ray diffraction analysis to be present in all three alloys to a varying extent. The inclusions were found not to significantly degrade electrical conductivity at temperatures above ~ 400 K in these alloys, though they do dramatically impact electronic mobility at room temperature. It is shown that, at temperatures above ~ 400 K, electrons are scattered predominantly by optical and acoustical phonons rather than by an alloy scattering mechanism or the inclusions. The experimental electrical conductivity and Seebeck coefficient data at elevated temperatures were found to be within ~ 10 % of what would be expected for material without inclusions. The inclusions were not found to reduce the lattice thermal conductivity at elevated temperatures. The experimentally measured thermal conductivity data was found to be consistent with the lattice thermal conductivity that would arise due to two scattering processes: Phonon phonon scattering (Umklapp scattering) and the scattering of phonons by the disorder induced by the formation of a PbTe-SnTe solid solution (alloy scattering). As opposed to the case in electrical transport, the alloy scattering mechanism in thermal transport is shown to be a significant contributor to the total thermal resistance. An estimation of the extent to which the mean free time between phonon scattering events would be reduced due to the presence of the inclusions is consistent with the above analysis of the experimental data. The first important result of this work was the development of an experimentally validated, physically based computational model that can be used to predict the electronic conductivity, Seebeck coefficient, and thermal conductivity of Pb1-xSnxTe alloys over the 400 K to 700 K temperature as a function of Sn content and doping level. This model will be critical in future work as a tool to first determine what the highest thermoelectric figure of merit one can expect from this alloy system at a given temperature and, second, as a tool to determine the optimum Sn content and doping level to achieve this figure of merit. The second important result of this work is the determination that the secondary phase inclusions that were observed to be present in the Pb1-xSnxTe made by mechanical alloying do not keep the material from having the same electrical and thermal transport that would be expected from “perfect" single crystal material at elevated temperatures. The analytical approach described in this work will be critical in future investigations to predict how changing the size, type, and volume fraction of secondary phase inclusions can be used to impact thermal and electrical transport in this materials system.
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Beim Laser-Sintern wird das Pulverbett durch Heizstrahler vorgeheizt, um an der Pulveroberfläche eine Temperatur knapp unterhalb des Materialschmelzpunktes zu erzielen. Dabei soll die Temperaturverteilung auf der Oberfläche möglichst homogen sein, um gleiche Bauteileigenschaften im gesamten Bauraum zu erzielen und den Bauteilverzug gering zu halten. Erfahrungen zeigen jedoch sehr inhomogene Temperaturverteilungen, weshalb oftmals die Integration von neuen oder optimierten Prozessüberwachungssystemen in die Anlagen gefordert wird. Ein potentiell einsetzbares System sind Thermographiekameras, welche die flächige Aufnahme von Oberflächentemperaturen und somit Aussagen über die Temperaturen an der Pulverbettoberfläche erlauben. Dadurch lassen sich kalte Bereiche auf der Oberfläche identifizieren und bei der Prozessvorbereitung berücksichtigen. Gleichzeitig ermöglicht die Thermografie eine Beobachtung der Temperaturen beim Lasereingriff und somit das Ableiten von Zusammenhängen zwischen Prozessparametern und Schmelzetemperaturen. Im Rahmen der durchgeführten Untersuchungen wurde ein IR-Kamerasystem erfolgreich als Festeinbau in eine Laser-Sinteranlage integriert und Lösungen für die hierbei auftretenden Probleme erarbeitet. Anschließend wurden Untersuchungen zur Temperaturverteilung auf der Pulverbettoberfläche sowie zu den Einflussfaktoren auf deren Homogenität durchgeführt. In weiteren Untersuchungen wurden die Schmelzetemperaturen in Abhängigkeit verschiedener Prozessparameter ermittelt. Auf Basis dieser Messergebnisse wurden Aussagen über erforderliche Optimierungen getroffen und die Nutzbarkeit der Thermografie beim Laser-Sintern zur Prozessüberwachung, -regelung sowie zur Anlagenwartung als erster Zwischenstand der Untersuchungen bewertet.
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Ein auf Basis von Prozessdaten kalibriertes Viskositätsmodell wird vorgeschlagen und zur Vorhersage der Viskosität einer Polyamid 12 (PA12) Kunststoffschmelze als Funktion von Zeit, Temperatur und Schergeschwindigkeit angewandt. Im ersten Schritt wurde das Viskositätsmodell aus experimentellen Daten abgeleitet. Es beruht hauptsächlich auf dem drei-parametrigen Ansatz von Carreau, wobei zwei zusätzliche Verschiebungsfaktoren eingesetzt werden. Die Temperaturabhängigkeit der Viskosität wird mithilfe des Verschiebungsfaktors aT von Arrhenius berücksichtigt. Ein weiterer Verschiebungsfaktor aSC (Structural Change) wird eingeführt, der die Strukturänderung von PA12 als Folge der Prozessbedingungen beim Lasersintern beschreibt. Beobachtet wurde die Strukturänderung in Form einer signifikanten Viskositätserhöhung. Es wurde geschlussfolgert, dass diese Viskositätserhöhung auf einen Molmassenaufbau zurückzuführen ist und als Nachkondensation verstanden werden kann. Abhängig von den Zeit- und Temperaturbedingungen wurde festgestellt, dass die Viskosität als Folge des Molmassenaufbaus exponentiell gegen eine irreversible Grenze strebt. Die Geschwindigkeit dieser Nachkondensation ist zeit- und temperaturabhängig. Es wird angenommen, dass die Pulverbetttemperatur einen Molmassenaufbau verursacht und es damit zur Kettenverlängerung kommt. Dieser fortschreitende Prozess der zunehmenden Kettenlängen setzt molekulare Beweglichkeit herab und unterbindet die weitere Nachkondensation. Der Verschiebungsfaktor aSC drückt diese physikalisch-chemische Modellvorstellung aus und beinhaltet zwei zusätzliche Parameter. Der Parameter aSC,UL entspricht der oberen Viskositätsgrenze, wohingegen k0 die Strukturänderungsrate angibt. Es wurde weiterhin festgestellt, dass es folglich nützlich ist zwischen einer Fließaktivierungsenergie und einer Strukturänderungsaktivierungsenergie für die Berechnung von aT und aSC zu unterscheiden. Die Optimierung der Modellparameter erfolgte mithilfe eines genetischen Algorithmus. Zwischen berechneten und gemessenen Viskositäten wurde eine gute Übereinstimmung gefunden, so dass das Viskositätsmodell in der Lage ist die Viskosität einer PA12 Kunststoffschmelze als Folge eines kombinierten Lasersinter Zeit- und Temperatureinflusses vorherzusagen. Das Modell wurde im zweiten Schritt angewandt, um die Viskosität während des Lasersinter-Prozesses in Abhängigkeit von der Energiedichte zu berechnen. Hierzu wurden Prozessdaten, wie Schmelzetemperatur und Belichtungszeit benutzt, die mithilfe einer High-Speed Thermografiekamera on-line gemessen wurden. Abschließend wurde der Einfluss der Strukturänderung auf das Viskositätsniveau im Prozess aufgezeigt.
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Das Laser-Sintern hat sich in den letzten Jahren zunehmend als Kleinserienfertigungsverfahren für Kunststoffbauteile etabliert. Dennoch entspricht die Bauteilqualität aufgrund von Verzug oder mangelnder Reproduzierbarkeit der Eigenschaften oftmals nicht den Anforderungen. Ein Grund hierfür ist die inhomogene Temperaturführung während des Prozesses. So ergeben sich aufgrund einer inhomogenen Temperaturverteilung auf der Pulverbettoberfläche sowie durch unterschiedliche Abkühlgeschwindigkeiten im Pulverbett zum Teil deutliche lokale Unterschiede im Temperatur-Zeit-Verhalten. Grundlegende Untersuchungen zu diesen Effekten fehlen jedoch bislang. Im Rahmen der dargestellten Untersuchungen gilt es daher zum einen die Reproduzierbarkeit verschiedener Laser-Sinter-Anlagen in Bezug auf die mechanischen Eigenschaften, die Maßhaltigkeit und die Bauteildichte zu analysieren und zum anderen diese Ergebnisse mit den lokalen Temperatur- und Abkühlbedingungen im Pulverbett zu korrelieren. Dabei werden durch thermografische Untersuchungen die Temperaturverteilung an der Pulverbett-oberfläche charakterisiert sowie durch Einsatz entsprechender Funk-Temperatur-messsensorik die lokalen Abkühlbedingungen von Bauteilen innerhalb des Pulverbettes analysiert. Diese lokalen Temperatur- und Abkühlbedingungen sollen anschließend mit positionsabhängigen Analysen zum Bauteilschrumpf korreliert werden. Abschließend werden Optimierungspotentiale für ein neuentwickeltes Temperaturführungssystem mit homogeneren Temperatur- und Abkühlbedingungen abgeleitet.
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PURPOSE To investigate the feasibility of MR diffusion tensor imaging (DTI) of the median nerve using simultaneous multi-slice echo planar imaging (EPI) with blipped CAIPIRINHA. MATERIALS AND METHODS After federal ethics board approval, MR imaging of the median nerves of eight healthy volunteers (mean age, 29.4 years; range, 25-32) was performed at 3 T using a 16-channel hand/wrist coil. An EPI sequence (b-value, 1,000 s/mm(2); 20 gradient directions) was acquired without acceleration as well as with twofold and threefold slice acceleration. Fractional anisotropy (FA), mean diffusivity (MD) and quality of nerve tractography (number of tracks, average track length, track homogeneity, anatomical accuracy) were compared between the acquisitions using multivariate ANOVA and the Kruskal-Wallis test. RESULTS Acquisition time was 6:08 min for standard DTI, 3:38 min for twofold and 2:31 min for threefold acceleration. No differences were found regarding FA (standard DTI: 0.620 ± 0.058; twofold acceleration: 0.642 ± 0.058; threefold acceleration: 0.644 ± 0.061; p ≥ 0.217) and MD (standard DTI: 1.076 ± 0.080 mm(2)/s; twofold acceleration: 1.016 ± 0.123 mm(2)/s; threefold acceleration: 0.979 ± 0.153 mm(2)/s; p ≥ 0.074). Twofold acceleration yielded similar tractography quality compared to standard DTI (p > 0.05). With threefold acceleration, however, average track length and track homogeneity decreased (p = 0.004-0.021). CONCLUSION Accelerated DTI of the median nerve is feasible. Twofold acceleration yields similar results to standard DTI. KEY POINTS • Standard DTI of the median nerve is limited by its long acquisition time. • Simultaneous multi-slice acquisition is a new technique for accelerated DTI. • Accelerated DTI of the median nerve yields similar results to standard DTI.
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Uno de los mayores problemas que enfrentan las urbes modernas es su crecimiento horizontal en base a cemento y asfalto, cubriendo grandes extensiones. Su resultado es un importante incremento de la temperatura llamado efecto "isla de calor", aspecto de particular importancia en años venideros por el creciente calentamiento global, a lo cual se añade la contaminación por gases y partículas. Las áreas destinadas a mitigar parcialmente estos efectos son los denominados espacios verdes, los cuales representan una mancha en el mapa. Sin embargo, su impacto termodinámico a nivel ambiental desde el punto de vista del confort y calidad de vida humanos puede ser muy variable según como esté diseñado. Este trabajo pretende establecer una metodología de aplicación en cualquier región, para calificar cuantitativamente el valor de los diferentes tipos de espacios verdes como modificadores ambientales, ya sean ejecutados o a nivel de proyecto. A través de esta metodología se determinan índices o coeficientes regionales objetivos y de sencilla aplicación. Para desarrollar estos índices, a los espacios verdes se aplican, adaptados, principios de la termodinámica de superficies húmedas y de la ecofisiología. A través de procedimientos matemáticos y conceptos fisiológicos se concluye en fórmulas para calcular índices regionales de aplicación directa en la evaluación de proyectos. A modo de comprobación de la metodología se determina el valor ambiental comparativo de diferentes tipos de espacios verdes correspondientes al sistema integrado de espacios verdes de la ciudad de Mendoza
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The ground surface temperature is one of the key parameters that determine the thermal regime of permafrost soils in arctic regions. Due to remoteness of most permafrost areas, monitoring of the land surface temperature (LST) through remote sensing is desirable. However, suitable satellite platforms such as MODIS provide spatial resolutions, that cannot resolve the considerable small-scale heterogeneity of the surface conditions characteristic for many permafrost areas. This study investigates the spatial variability of summer surface temperatures of high-arctic tundra on Svalbard, Norway. A thermal imaging system mounted on a mast facilitates continuous monitoring of approximately 100 x 100 m of tundra with a wide variability of different surface covers and soil moisture conditions over the entire summer season from the snow melt until fall. The net radiation is found to be a control parameter for the differences in surface temperature between wet and dry areas. Under clear-sky conditions in July, the differences in surface temperature between wet and dry areas reach up to 10K. The spatial differences reduce strongly in weekly averages of the surface temperature, which are relevant for the soil temperature evolution of deeper layers. Nevertheless, a considerable variability remains, with maximum differences between wet and dry areas of 3 to 4K. Furthermore, the pattern of snow patches and snow-free areas during snow melt in July causes even greater differences of more than 10K in the weekly averages. Towards the end of the summer season, the differences in surface temperature gradually diminish. Due to the pronounced spatial variability in July, the accumulated degree-day totals of the snow-free period can differ by more than 60% throughout the study area. The terrestrial observations from the thermal imaging system are compared to measurements of the land surface temperature from the MODIS sensor. During periods with frequent clear-sky conditions and thus a high density of satellite data, weekly averages calculated from the thermal imaging system and from MODIS LST agree within less than 2K. Larger deviations occur when prolonged cloudy periods prevent satellite measurements. Futhermore, the employed MODIS L2 LST data set contains a number of strongly biased measurements, which suggest an admixing of cloud top temperatures. We conclude that a reliable gap filling procedure to moderate the impact of prolonged cloudy periods would be of high value for a future LST-based permafrost monitoring scheme. The occurrence of sustained subpixel variability of the summer surface temperature is a complicating factor, whose impact needs to be assessed further in conjunction with other spatially variable parameters such as the snow cover and soil properties.
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Measuring skin temperature (TSK) provides important information about the complex thermal control system and could be interesting when carrying out studies about thermoregulation. The most common method to record TSK involves thermocouples at specific locations; however, the use of infrared thermal imaging (IRT) has increased. The two methods use different physical processes to measure TSK, and each has advantages and disadvantages. Therefore, the objective of this study was to compare the mean skin temperature (MTSK) measurements using thermocouples and IRT in three different situations: pre-exercise, exercise and post-exercise. Analysis of the residual scores in Bland-Altman plots showed poor agreement between the MTSK obtained using thermocouples and those using IRT. The averaged error was -0.75 °C during pre-exercise, 1.22 °C during exercise and -1.16 °C during post-exercise, and the reliability between the methods was low in the pre- (ICC = 0.75 [0.12 to 0.93]), during (ICC = 0.49 [-0.80 to 0.85]) and post-exercise (ICC = 0.35 [-1.22 to 0.81] conditions. Thus, there is poor correlation between the values of MTSK measured by thermocouples and IRT pre-exercise, exercise and post-exercise, and low reliability between the two forms of measurement.
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From the last decades, infrared thermography is quite often associated with things other than clinical medicine. For example, the chemical, automobile, aeronautic industries and civil engineering. However, thermography is where infrared images of the breast are analyzed by board certified thermographers and an abnormal thermogram is reported as the significant risk for the existence of breast tumor (Ng, 2009). Thermography is a painless, noninvasive, no radiation, as well as being cheaper and faster, easier access. The aim of this review was to identify the views of clinicians on the use of thermography for quantifying the risk of breast cancer. We used articles published recently in a reliable database. Thermography has been convicted over the years; it has been labeled by subjective interpretation. Most of the reviewed articles agree that mammography is currently the main examination chosen by doctors for the screening of breast cancer (Acharya et al., 2010; Kennedy et al., 2009). However, several studies have reported promising results for the technique (Wang et al., 2010). Additionally, some authors suggest that thermography is complementary to other diagnostic methods, and that the best strategy for the early detection of breast cancer would be to use them together (Kennedy et al., 2009; Hersh, 2004). The combination of thermal imaging with other tests would increase accuracy, sensitivity and specificity of the evaluation and allow a better quantification of the risk of breast cancer.
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This paper presents different test alternatives which can be used on-site in a PV installation to detect potential induced degradation (PID) in modules. The testing procedures proposed are: thermal imaging; electroluminescence imaging; open circuit voltage measurements; operating voltage measurements; IV curve measurements; and dark IV curve measurements. Advantages and disadvantages of each test are reported.