Relevant bibliographies by topics / Resistance heating – Data processing

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  2. Dissertations / Theses
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  5. Conference papers

Academic literature on the topic 'Resistance heating – Data processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Resistance heating – Data processing"

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Huertas, Juan-Pablo, María Ros-Chumillas, Alberto Garre, Pablo S. Fernández, Arantxa Aznar, Asunción Iguaz, Arturo Esnoz, and Alfredo Palop. "Impact of Heating Rates on Alicyclobacillus acidoterrestris Heat Resistance under Non-Isothermal Treatments and Use of Mathematical Modelling to Optimize Orange Juice Processing." Foods 10, no. 7 (June 28, 2021): 1496. http://dx.doi.org/10.3390/foods10071496.

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Alicyclobacillus acidoterrestris is a spoilage microorganism responsible for relevant product and economic losses in the beverage and juice industry. Spores of this microorganism can survive industrial heat treatments and cause spoilage during posterior storage. Therefore, an effective design of processing treatments requires an accurate understanding of the heat resistance of this microorganism. Considering that industrial treatments are dynamic; this understanding must include how the heat resistance of the microorganism is affected by the heating rate during the heating and cooling phases. The main objective of this study was to establish the effect of heating rates and complex thermal treatments on the inactivation kinetics of A. acidoterrestris. Isothermal experiments between 90 and 105 °C were carried out in a Mastia thermoresistometer, as well as four different dynamic treatments. Although most of the inactivation takes place during the holding phase, our results indicate the relevance of the heating phase for the effectiveness of the treatment. The thermal resistance of A. acidoterrestris is affected by the heating rate during the heating phase. Specifically, higher heating rates resulted in an increased microbial inactivation with respect to the one predicted based on isothermal experiments. These results provide novel information regarding the heat response of this microorganism, which can be valuable for the design of effective heat treatments to improve product safety and stability. Moreover, it highlights the need to incorporate experimental data based on dynamic treatments in process design, as heating rates can have a very significant effect on the thermal resistance of microorganisms.
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ARCHER, JULIE, EMMA T. JERVIS, JON BIRD, and JOY E. GAZE. "Heat Resistance of Salmonella weltevreden in Low-Moisture Environments." Journal of Food Protection 61, no. 8 (August 1, 1998): 969–73. http://dx.doi.org/10.4315/0362-028x-61.8.969.

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The heat resistance of Salmonella weltevreden inoculated into flour and heated in hot air was determined for (a) an initial water activity (aw) range of 0.20 to 0.60 prior to heating, (b) a range of storage relative humidities of 6.0 to 35.5% prior to heating, and (c) temperatures of 57 to 77°C. The death curves obtained were biphasic, demonstrating an initial rapid decline in the numbers of survivors (1.0- to 1.5-log reductions) during the first 5 to 10 min of heating for all the temperature-water activity combinations tested. Following this initial rapid decline in the number of cells, a linear survivor curve was obtained where inactivation occurred at a slower rate. The initial decline in survivors coincided with a rapid decrease in the water activity of all the samples tested. Irrespective of the initial water activity level in the samples prior to heating, the aw decreased to <0.2 during the first 5 to 10 min of heating. The D values obtained for these experimental parameters ranged from a D60–62 of 875 min at an initial aw of 0.4 to a D63–65 of 29 min at an initial aw of 0.5. The results demonstrated that, for any temperature, as the initial water activity of the sample prior to heating decreased, the heat resistance of the cells increased. The z values obtained from these data ranged from 15.2 to 53.9°C. The relative humidity during storage prior to heating did not appear to have a significant effect on the heat resistance of S. weltevreden in flour. These results demonstrate that the amount of available water in foods that are considered to be “dry” (i.e., with a water activity less than 0.60) will significantly influence the effectiveness of the heat processing of foods and, in addition to the temperature, the aw prior to heating is a critical controlling factor during these processes.
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Lehotová, Veronika, Karla Miháliková, Alžbeta Medveďová, and Ľubomír Valík. "Modelling the inactivation of Staphylococcus aureusat moderate heating temperatures." Czech Journal of Food Sciences 39, No. 1 (February 26, 2021): 42–48. http://dx.doi.org/10.17221/201/2020-cjfs.

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The survival of bacterial contaminants at moderate processing temperatures is of interest to many food producers, especially in terms of the safety and quality of the final products. That is why the heat resistance of Staphylococcus aureus 2064, an isolate from artisanal Slovakian cheese, was studied in the moderate temperature range (57–61 °C) by the capillary method. The fourth decimal reduction time t<sub>4D</sub>- and z-values were estimated in two steps by traditional log-linear Bigelow and non-linear Weibull models. In addition, a one-step fitting procedure using the Weibull model was also applied. All the approaches provided comparable t<sub>4D</sub>-values resulting in the following z-values of 11.8 °C, 12.3 °C and 11.3 °C, respectively. Moreover, the one-step approach takes all the primary data into z-value calculation at once, thus providing a more representative output at the reasonable high coefficient of determination R<sub>2</sub> = 0.961
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Donskoy, Igor, and Aleksandr Kozlov. "Thermogravimetric Study of the Kinetics of the Reaction C + CO2 under Pore-Diffusion Control." Energies 14, no. 7 (March 29, 2021): 1886. http://dx.doi.org/10.3390/en14071886.

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This study presents experimental studies of charcoal gasification with CO2 at different heating rates (1, 5, 10, 20, and 50 K min−1). The kinetics of the reaction C + CO2 under pore-diffusion control is studied. We propose a new method for the proper determination of activation energy during the processing of thermogravimetric curves of porous carbon gasification under conditions of pore-diffusion resistance. The results of the inverse kinetic problem solution are compared with different hypotheses about the regime of the investigated heterogeneous reaction process (kinetic, diffusion, pore-diffusion). The change of reaction regimes from kinetic to diffusion is detected during charcoal gasification at different heating rates. At heating rates of 5–20 K min−1, the values of activation energy of carbon gasification reaction in the carbon dioxide atmosphere, obtained by the proposed method, closely match the data found in the previous studies. The use of diffusion models in the processing of thermogravimetric curves determines the conditions under which conventional kinetic models fail to provide adequate information about the temperature dependence of the heterogeneous reaction rate.
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JUNEJA, VIJAY K., and BRIAN S. EBLEN. "Influence of Sodium Chloride on Thermal Inactivation and Recovery of Nonproteolytic Clostridium botulinum Type B Strain KAP B5 Spores†." Journal of Food Protection 58, no. 7 (July 1, 1995): 813–16. http://dx.doi.org/10.4315/0362-028x-58.7.813.

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Demand for minimally processed refrigerated foods with reduced salt levels has stimulated renewed interest in the potential for survival and growth of psychrotrophic, nonproteolytic Clostridium botulinum type B spores. As part of a project to better define food-processing requirements, the heat resistance (75 to 90°C) of nonproteolytic C. botulinum type B spores was assessed in turkey containing 1 to 3% (wt/vol) salt (sodium chloride). Heated spores were recovered both on reinforced clostridial medium (RCM) with lysozyme and on RCM having the same salt levels as the heating menstruum. When the recovery medium contained no salt, D-values in turkey slurry containing 1% salt were 42.1, 17.1, 7.8, and 1.1 min at 75, 80, 85, and 90°C, respectively. Increasing levels (2 and 3%, wt/vol) of salt in the turkey slurry reduced the heat resistance as evidenced by reduced spore D-values. Also, apparent or measured heat resistance was decreased with increasing salt concentration in the heating menstruum and the recovery medium. The z-values in turkey slurry for all treatments were similar, ranging from 8.47 10 10.08°C.These data will assist food processors to design thermal processes that ensure safety against nonproteolytic C. botulinum type B spores in cook/chill foods while minimizing quality losses.
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Febraldo, David, Wayan Nata Septiadi, and Ketut Astawa. "Kinerja Termal Pipa Kalor Tembaga pada Fluida Kerja Air." Jurnal METTEK 5, no. 1 (April 30, 2019): 52. http://dx.doi.org/10.24843/mettek.2019.v05.i01.p07.

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Pipa kalor (Heat pipe) merupakan salah satu teknologi penukar kalor dua fase sistem pasif, pipa kalor itu sendiri memiliki struktur dengan konduktivitas termal tinggi, hal ini memungkinkan transportasi panas dengan mempertahankan perbedaan suhu sehingga seragam di sepanjang bagian yang dipanaskan dan didinginkan. Kinerja termal pipa kalor dapat ditentukan dari nilai hambatan panas. Ketika hambatan panas bernilai kecil, maka laju perpindahan kalor meningkat begitu pula sebaliknya. Pengujian kinerja termal pipa kalor tembaga pada fluida kerja air telah dilakukan. Kinerja termal dapat diamati dari hasil pengambilan data temperatur dan pengolahan data. Hasil dari penelitian ini menunjukkan perbedaan temperatur antara temperatur pemanas dan dan temperatur fluida terus meningkat dengan kenaikan laju perpindahan panas dari variasi beban pemanasan 70 volt, 90 volt, 110 vot, 130 volt, dan 150 volt. Heat pipe is a passive two-phase heat exchanger technology, heat pipe itself has a structure with high thermal conductivity, this allows heat transportation by maintaining a uniform temperature difference along the heated and cooled part. Thermal performance of heat pipes can be determined from the value of heat resistance. When heat resistance is small, the heat transfer rate increases and vice versa. Testing the thermal performance of copper heat pipes on the working fluid of water has been carried out. Thermal performance can be observed from the results of temperature data collection and data processing. The results of this study indicate the temperature difference between heating temperature and fluid temperature continues to increase with increasing heat transfer rates from variations in heating loads of 70 volts, 90 volts, 110 vot, 130 volts, and 150 volts.
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Sinitsyn, N. N., and N. V. Telin. "Mathematical Modeling of the Bark Drying Process." Lesnoy Zhurnal (Forestry Journal), no. 6 (December 10, 2020): 159–71. http://dx.doi.org/10.37482/0536-1036-2020-6-159-171.

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Currently, a large amount of wood bark waste is generated at the timber processing enterprises of the Russian Federation, which is not widely used in industry and has a negative impact on the environment. One of the feasible directions for the processing of such waste is its burning in layered furnaces. However, tree bark, due to its high moisture content and extremely heterogeneous fractional composition, belongs to a low-energy, difficult-to-burn fuel. High humidity reduces the energy density of the bark. The extremely heterogeneous fractional composition of tree bark (linear dimensions of random bark chips can vary from millimeters to tens of centimeters) complicates the organization of the burning process. Effective utilization of tree bark is ensured when it is pre-dried to a moisture content of 55–60 % and the size of bark chips not exceeding 100 mm. The purpose of the presented work is to study the temperature field in a dense blown layer of high-moisture bark when drying it with high-temperature flue gases from boiler units. A mathematical model for heating the dense layer of high moisture tree bark has been developed based on the physics analysis. It was done taking into account the assessment of the bark dense layer thickness, which uses the method of calculating the aerodynamic resistance of a transversely blown layer to a gas flow. Numerical experiments were carried out in order to calculate the temperature fields during the heating of a single chip of high moisture tree bark located in the front part of the dense blown layer. The calculation data were compared with the results obtained using the developed model. A procedure that allows calculating the total duration of heating the wet material until the layer is completely dry, the time spent on heating the blown dense layer until the complete release of volatile substances, and the temperature fields in the bark layer and gas flow has been developed on the basis of mathematical modeling of the process of the dense layer heating and thermal preparation of high moisture tree bark for burning. A scheme for preparing high moisture tree bark for burning and a method for determining the characteristic parameters of a two-stage scheme of energy use of high moisture tree bark in layered furnaces of boilers and heat generators are proposed.
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SAMAPUNDO, S., M. HEYNDRICKX, R. XHAFERI, and F. DEVLIEGHERE. "Validated Empirical Models Describing the Combined Effect of Water Activity and pH on the Heat Resistance of Spores of a Psychrotolerant Bacillus cereus Strain in Broth and Béchamel Sauce." Journal of Food Protection 74, no. 10 (October 1, 2011): 1662–69. http://dx.doi.org/10.4315/0362-028x.jfp-11-041.

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The major objective of this study was to evaluate and model the combined effect of the water activity (aw) and pH of the heating menstrum on the heat resistance of spores of a psychrotolerant Bacillus cereus strain isolated from béchamel sauce. Two models, a quadratic polynomial equation and a reparameterized function, were assessed for their ability to describe the combined influence of aw and pH on the D85°C-values of the B. cereus isolate in tryptone soy broth. The performance of the models was validated by challenging the models with data independently collected in broth and béchamel sauce. Both models were found to adequately describe the validation data obtained in broth. However, it was determined that in béchamel sauce the predictions of the polynomial function not only showed bias (bias factor = 1.156) but were also fail-dangerous, as they deviated from the validation data by 17.2%. The reparameterized function was determined to be a good predictor of the D85°C-values in béchamel sauce as it showed no bias (bias factor = 1.033) and its predictions differed by only 7.9% from the validation data. The reparameterized function can be used to provide estimates of the minimum processing conditions required to achieve desired levels of spore inactivation within the aw and pH ranges studied and to determine the potential changes in heat resistance of B. cereus spores when aw and pH are changed, for example, during product reformulation. As validation of heat resistance models is rarely performed, let alone in actual food products, the models evaluated and validated in this study (in particular the reparameterized function) are of immediate relevance to the food industry.
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Achiţei, Dragoş Cristian, Petrică Vizureanu, Mirabela Georgiana Minciună, Mohd Mustafa Al Bakri Abdullah, and Ioan Gabriel Sandu. "Study on Al-Si Alloys Properties Enhancement." Applied Mechanics and Materials 754-755 (April 2015): 634–38. http://dx.doi.org/10.4028/www.scientific.net/amm.754-755.634.

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The paper presents a study about aluminum alloy, allied with Si, Cu, Mn, Mg. The Al-Si-Cu-Mg alloys for foundry are used for parts strongly required and which work at high temperatures, due to their good wear resistance. The industrial Al-Cu alloys contain 12 % cooper, are hipo-eutectic and may be for foundry or deformable. By alloying with magnesium, the Al-Cu alloys become with remarkable properties of resistance and plastic deformation processing. The improvement of mechanical characteristics for Al-Si alloys is realized with metals which forms the intermediate phases with silicon or aluminum, with variable solubility in solid state and which permits the structural hardening by heat treatments (quenching and ageing). From the analysis of dilatogramms, grouped for each sample, with the specific initial length, subjected to successive heating, from ambiance temperature up to 500°C, it is found that, with the appearance of ageing phenomena, on the samples aren’t significant modifications for elongation (few microns), only different may be the form of elongation-temperature curve. This analysis permits the determination of experimental data, regarding the behavior of Al-Si alloy subjected to heat treatments and repeated warming. Therefore, the Al-Si-Cu-Mg alloys, for foundry, are used for manufacture the parts strong required and which work at high temperatures, like pistons for engines with internal burn, parts for machines and reinforcements construction, due to their high usage resistance.
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Metzger, Stefan, George Burba, Sean P. Burns, Peter D. Blanken, Jiahong Li, Hongyan Luo, and Rommel C. Zulueta. "Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H<sub>2</sub>O and CO<sub>2</sub>." Atmospheric Measurement Techniques 9, no. 3 (March 31, 2016): 1341–59. http://dx.doi.org/10.5194/amt-9-1341-2016.

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Abstract. Several initiatives are currently emerging to observe the exchange of energy and matter between the earth's surface and atmosphere standardized over larger space and time domains. For example, the National Ecological Observatory Network (NEON) and the Integrated Carbon Observing System (ICOS) are set to provide the ability of unbiased ecological inference across ecoclimatic zones and decades by deploying highly scalable and robust instruments and data processing. In the construction of these observatories, enclosed infrared gas analyzers are widely employed for eddy covariance applications. While these sensors represent a substantial improvement compared to their open- and closed-path predecessors, remaining high-frequency attenuation varies with site properties and gas sampling systems, and requires correction. Here, we show that components of the gas sampling system can substantially contribute to such high-frequency attenuation, but their effects can be significantly reduced by careful system design. From laboratory tests we determine the frequency at which signal attenuation reaches 50 % for individual parts of the gas sampling system. For different models of rain caps and particulate filters, this frequency falls into ranges of 2.5–16.5 Hz for CO2, 2.4–14.3 Hz for H2O, and 8.3–21.8 Hz for CO2, 1.4–19.9 Hz for H2O, respectively. A short and thin stainless steel intake tube was found to not limit frequency response, with 50 % attenuation occurring at frequencies well above 10 Hz for both H2O and CO2. From field tests we found that heating the intake tube and particulate filter continuously with 4 W was effective, and reduced the occurrence of problematic relative humidity levels (RH > 60 %) by 50 % in the infrared gas analyzer cell. No further improvement of H2O frequency response was found for heating in excess of 4 W. These laboratory and field tests were reconciled using resistor–capacitor theory, and NEON's final gas sampling system was developed on this basis. The design consists of the stainless steel intake tube, a pleated mesh particulate filter and a low-volume rain cap in combination with 4 W of heating and insulation. In comparison to the original design, this reduced the high-frequency attenuation for H2O by ≈ 3∕4, and the remaining cospectral correction did not exceed 3 %, even at high relative humidity (95 %). The standardized design can be used across a wide range of ecoclimates and site layouts, and maximizes practicability due to minimal flow resistance and maintenance needs. Furthermore, due to minimal high-frequency spectral loss, it supports the routine application of adaptive correction procedures, and enables largely automated data processing across sites.
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Dissertations / Theses on the topic "Resistance heating – Data processing"

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黎浩然 and Ho-yin Albert Lai. "Artificial intelligence based thermal comfort control with CFD modelling." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B3122278X.

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Moody, Robert D. "Preliminary power prediction during early design stages of a ship." Thesis, Cape Technikon, 1996. http://hdl.handle.net/20.500.11838/1261.

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Thesis (Masters Diploma (Mechanical Engineering)) -- Cape Technikon, Cape Town,1996
A need exists whereby the preliminary power requirement of a ship can be rapidly estimated. Because the majority of methods available for this purpose are manual and consist of a number of independent components, they are tedious and time consuming to use. With the advent of the personal computer and its widespread acceptance, it was logical to examine the various components involved to determine their suitability for computerisation and general accuracy. In total eleven hull resistance prediction methods were examined, eight of which were computerised. Model test data of four vessels were used to evaluate these eight programs. The methodproviding the best results was selected to form the core of an integrated Power Prediction program. Factors such as appendage resistance, fouling and hull roughness were examined and appropriate methods selected for inclusion into the integrated program. Various propeller series were examined and evaluated against a variety of examples and model data. Two propeller optimisation programs were written and a general method for determining the optimum characteristics from Kr-KQ polynomials is described. Methods for determining propulsion coefficients were examined and their results compared with those obtained from model tests. The method providing the best overall results was incorporated into the Power Prediction program Added resistance due to sea state was broken down into two components, namely wind and wave resistance. Only the head sea and wind conditions were considered. Various methods for estimating wind resistance were examined and a program developed capable of providing resistance estimates regardless of wind direction. The problem of added resistance due to waves was examined and two programs written around the methods examined. To facilitate prediction estimates, sea state was chosen as the prime function. Wave height is estimated for the appropriate sea state and wind speed in turn from the wave height Actual sea trial data ofa twin screw channel ship is used to determine the overall accuracy ofthe Power Prediction Program
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Rashotte, Angela L. "Resistance to technology integration in elementary teaching by the technologically proficient classroom teacher." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=83144.

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The Quebec Ministry of Education has implemented curriculum reforms that emphasize the integration of information technology into classroom teaching practices. Despite these efforts, however, many teachers appear to resist using computers in their classrooms. Some of these resistors are technologically literate! The purpose of this qualitative study is to better understand the reluctance of the technologically-literate teachers (with two to three years of experience) to integrate technology into their teaching practices.
The six teachers participating in this study completed questionnaires and were individually interviewed using an open-ended approach. The data were then analyzed using the Constant Comparative Method. The results showed that although the participants were using computers in their classrooms, they were not actually integrating technology as stipulated by the curriculum reforms. This was attributed to a number of factors, including personal limitations, job stability, lack of resources and funds, time, training, and curriculum issues.
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Sarma, Bandita. "Towards Resistance Detection in Health Behavior Change Dialogue Systems." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804981/.

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One of the challenges fairly common in motivational interviewing is patient resistance to health behavior change. Hence, automated dialog systems aimed at counseling patients need to be capable of detecting resistance and appropriately altering dialog. This thesis focusses primarily on the development of such a system for automatic identification of patient resistance to behavioral change. This enables the dialogue system to direct the discourse towards a more agreeable ground and helping the patient overcome the obstacles in his or her way to change. This thesis also proposes a dialogue system framework for health behavior change via natural language analysis and generation. The proposed framework facilitates automated motivational interviewing from clinical psychology and involves three broad stages: rapport building and health topic identification, assessment of the patient’s opinion about making a change, and developing a plan. Using this framework patients can be encouraged to reflect on the options available and choose the best for a healthier life.
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Shaw, Paul David. "Visualizing genetic transmission patterns in plant pedigrees." Thesis, Edinburgh Napier University, 2016. http://researchrepository.napier.ac.uk/Output/463271.

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Ensuring food security in a world with an increasing population and demand on natural resources is becoming ever more pertinent. Plant breeders are using an increasingly diverse range of data types such as phenotypic and genotypic data to identify plant lines with desirable characteristics suitable to be taken forward in plant breeding programmes. These characteristics include a number of key morphological and physiological traits, such as disease resistance and yield that need to be maintained and improved upon if a commercial plant variety is to be successful. The ability to predict and understand the inheritance of alleles that facilitate resistance to pathogens or any other commercially important characteristic is crucially important to experimental plant genetics and commercial plant breeding programmes. However, derivation of the inheritance of such traits by traditional molecular techniques is expensive and time consuming, even with recent developments in high-throughput technologies. This is especially true in industrial settings where, due to time constraints relating to growing seasons, many thousands of plant lines may need to be screened quickly, efficiently and economically every year. Thus, computational tools that provide the ability to integrate and visualize diverse data types with an associated plant pedigree structure will enable breeders to make more informed and subsequently better decisions on the plant lines that are used in crossings. This will help meet both the demands for increased yield and production and adaptation to climate change. Traditional family tree style layouts are commonly used and simple to understand but are unsuitable for the data densities that are now commonplace in large breeding programmes. The size and complexity of plant pedigrees means that there is a cognitive limitation in conceptualising large plant pedigree structures, therefore novel techniques and tools are required by geneticists and plant breeders to improve pedigree comprehension. Taking a user-centred, iterative approach to design, a pedigree visualization system was developed for exploring a large and unique set of experimental barley (H. vulgare) data. This work progressed from the development of a static pedigree visualization to interactive prototypes and finally the Helium pedigree visualization software. At each stage of the development process, user feedback in the form of informal and more structured user evaluation from domain experts guided the development lifecycle with users' concerns addressed and additional functionality added. Plant pedigrees are very different to those from humans and farmed animals and consequently the development of the pedigree visualizations described in this work focussed on implementing currently accepted techniques used in pedigree visualization and adapting them to meet the specific demands of plant pedigrees. Helium includes techniques to aid problems with user understanding identified through user testing; examples of these include difficulties where crosses between varieties are situated in different regions of the pedigree layout. There are good biological reasons why this happens but it has been shown, through testing, that it leads to problems with users' comprehension of the relatedness of individuals in the pedigree. The inclusion of visual cues and the use of localised layouts have allowed complications like these to be reduced. Other examples include the use of sizing of nodes to show the frequency of usage of specific plant lines which have been shown to act as positional reference points to users, and subsequently bringing a secondary level of structure to the pedigree layout. The use of these novel techniques has allowed the classification of three main types of plant line, which have been coined: principal, flanking and terminal plant lines. This technique has also shown visually the most frequently used plant lines, which while previously known in text records, were never quantified. Helium's main contributions are two-fold. Firstly it has applied visualization techniques used in traditional pedigrees and applied them to the domain of plant pedigrees; this has addressed problems with handling large experimental plant pedigrees. The scale, complexity and diversity of data and the number of plant lines that Helium can handle exceed other currently available plant pedigree visualization tools. These techniques (including layout, phenotypic and genotypic encoding) have been improved to deal with the differences that exist between human/mammalian pedigrees which take account of problems such as the complexity of crosses and routine inbreeding. Secondly, the verification of the effectiveness of the visualizations has been demonstrated by performing user testing on a group of 28 domain experts. The improvements have advanced both user understanding of pedigrees and allowed a much greater density and scale of data to be visualized. User testing has shown that the implementation and extensions to visualization techniques has improved user comprehension of plant pedigrees when asked to perform real-life tasks with barley datasets. Results have shown an increase in correct responses between the prototype interface and Helium. A SUS analysis has sown a high acceptance rate for Helium.
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Smith, Carol Elaine. "A method for determining the installed capacity of an underfloor electrical resistance heating and energy storage system." 1985. http://hdl.handle.net/2097/27546.

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黃書培. "A gradation data processing and heating control for thermal printer." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/52519319982785490602.

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Santiago, Ana Rita Antunes. "Predictive maintenance mechanisms for heating equipment." Master's thesis, 2019. http://hdl.handle.net/10773/29723.

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Heating appliances such as HVAC systems are susceptible to failures that may result in disruption of important operations. With this in mind, it is relevant to increase the efficiency of those solutions and diminish the number of detected faults. Moreover, understand why these failures occur that be relevant for future devices. Thus, there is a need to develop methods that allow the identification of eventual failures before they occur. This is only achievable when solutions capable of analyzing data, interpret it and obtaining knowledge from it, are created. This dissertation presents an infrastructure that supports the inspection of failure detection in boilers, making viable to forecast faults and errors. A major part of the work is data analysis and the creation of procedures that can process it. The main goal is creating an efficient system able to identify, predict and notify the occurrence of failure events.
Equipamentos de Climatização, como caldeiras e ar-condicionado, são suscetíveis a falhas que podem resultar na interrupção de operações importantes. Assim, é relevante aumentar a eficiência dessas soluções e diminuir o número de falhas detectadas. Além disso, entender o porquê da ocorrências dessas falhas torna-se importante para a criação de equipamentos futuros. Existe, assim, a necessidade de desenvolver métodos que permitam a identificação de eventuais falhas antes que elas ocorram. Isso só é possível quando são criadas soluções capazes de analisar dados, interpretá-los e obter conhecimento a partir deles. Esta dissertação apresenta uma infraestrutura que suporta a inspeção de detecção de falhas em caldeiras, viabilizando a previsão de falhas e erros. Uma parte importante do trabalho é a análise de dados e a criação de procedimentos que possam processá-los. O objetivo principal é criar um sistema eficiente capaz de identificar, prever e notificar a ocorrência de eventos de falha.
Mestrado em Engenharia de Computadores e Telemática
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Mourato, Manuel Duarte Vilarinho. "Analytics Application for Time Series Stream Data Processing from Connected Heating Systems." Dissertação, 2016. https://hdl.handle.net/10216/96715.

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Every machine, be it for industrial or domestic uses, is prone to suffer failures or defects that need to be detected and addressed as soon as possible, domestic water boilers not being the exception. This dissertation comes as a way to tackle this problem, by designing an analytics application that not only detects these failures in real time, but does so for multiple water boilers.
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Mourato, Manuel Duarte Vilarinho. "Analytics Application for Time Series Stream Data Processing from Connected Heating Systems." Master's thesis, 2016. https://hdl.handle.net/10216/96715.

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Every machine, be it for industrial or domestic uses, is prone to suffer failures or defects that need to be detected and addressed as soon as possible, domestic water boilers not being the exception. This dissertation comes as a way to tackle this problem, by designing an analytics application that not only detects these failures in real time, but does so for multiple water boilers.
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Books on the topic "Resistance heating – Data processing"

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1929-, Gehry Frank O., ed. Digital Gehry: Material resistance, digital construction. Basel: Birkhäuser, 2001.

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Albers, John. A collection of computer programs two-probe resistance (spreading resistance) and four-probe resistance calculations, RESPAC. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1993.

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Robertson, Jacqueline L. Computer prediction of insecticide efficacy for western spruce budworm and Douglas-fir Tussock moth. Berkeley, Calif: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1986.

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Thermal guidelines for data processing environments. 3rd ed. Atlanta, GA: ASHRAE, 2012.

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American Society of Heating, Refrigerating and Air-Conditioning Engineers. Thermal guidelines for data processing environments. Atlanta: ASHRAE, 2015.

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Liu, Stanley T. Experimental and analytical investigation of solar radiant flux distribution on interior surfaces of a sunspace. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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Liu, Stanley T. Experimental and analytical investigation of solar radiant flux distribution on interior surfaces of a sunspace. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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Stepanova, T. A. Avtomatizirovannoe proektirovanie sistem otoplenii͡a︡. Moskva: Stroĭizdat, Leningradskoe otd-nie, 1986.

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American, Society of Heating Refrigerating and Air-Conditioning Engineers Inc. Thermal guidelines for data processing environments. Atlanta, GA: ASHRAE, 2004.

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American Society of Heating, Refrigerating and Air-Conditioning Engineers. Green tips for data centers. Atlanta, GA: American Society of Heating, Refrigerating, and Air-Conditioning Engineers Inc., 2011.

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Book chapters on the topic "Resistance heating – Data processing"

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Viazovychenko, Yuliia, and Oleksiy Larin. "Stochastic Optimization Algorithms for Data Processing in Experimental Self-heating Process." In Lecture Notes in Networks and Systems, 644–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66717-7_55.

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Zhang, Fuyou, Saiyu Qi, Haoran Yuan, and Meng Zhang. "Secure Data Deduplication with Resistance to Side-Channel Attacks via Fog Computing." In Algorithms and Architectures for Parallel Processing, 440–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38961-1_39.

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"Scaling of Resistance Heating Elements in a Through-Type Annealing Furnace." In ASM Failure Analysis Case Histories: Steelmaking and Thermal Processing Equipment. ASM International, 2019. http://dx.doi.org/10.31399/asm.fach.steel.c9001238.

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Unissa, Ameeruddin Nusrath, and Luke Elizabeth Hanna. "Dissection of HIV-1 Protease Subtype B Inhibitors Resistance Through Molecular Modeling Approaches." In Big Data Analytics in HIV/AIDS Research, 149–70. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3203-3.ch007.

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Protease (PR) is an important enzyme required for the posttranslational processing of the viral gene products of type-1 human immunodeficiency virus (HIV-1). Protease inhibitors (PI) act as competitive inhibitors that bind to the active site of PR. The I84V mutation contributes resistance to multiple PIs, and structurally, this mutation affects both sides of the enzyme active site. In order to get insights about this major resistance site to PR inhibitors using in silico approaches, in this chapter, the wild-type (WT) and mutant (MT) I84V of PR were modeled and docked with all PR inhibitors: Atazanavir, Darunavir, Indinavir, Lopinavir, Nelfinavir, Saquinavir, and Tipranavir. Docking results revealed that in comparison to the WT, the binding score was higher for the MT-I84V. Thus, it can be suggested that the high affinity towards inhibitors in the MT could be due to the presence of energetically favorable interactions, which may lead to tight binding of inhibitors with the MT protein, leading to the development of PR resistance against PIs in HIV-1 eventually.
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Fairhurst, Michael. "4. Enhancing biometric processing." In Biometrics: A Very Short Introduction, 74–89. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780198809104.003.0004.

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‘Enhancing biometric processing’ explores how the field of biometrics is developing, and the main ideas promoting the improvement of the accuracy, reliability, and effectiveness of biometric systems. It is unlikely that any individual biometric modality operating alone will completely meet all the desirable criteria for a given task, especially when the variety of issues that are needed are considered in any practical situation. To improve system performance different systems can be used such as adding extra power using a multiclassifier configuration, increasing flexibility using multimodal systems, and using soft biometrics as additional identity evidence. Resistance to ‘spoofing’ attacks, biometric data integrity, and extending the application domains for biometrics-based processing are also considered.
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Suslov, A. A. "Metallic Coatings for Brazing Aluminum Alloys." In Encyclopedia of Aluminum and Its Alloys. Boca Raton: CRC Press, 2019. http://dx.doi.org/10.1201/9781351045636-140000447.

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Because of their high specific strength and satisfactory corrosion resistance, aluminum alloys belong to the group of fundamental structural materials in modern engineering. Their wide use has been made possible as a result of developing advanced methods of processing and producing permanent joints by welding or brazing. However, the application of brazing aluminum alloys is limited because of the problems in removing the strong and chemically resistant oxide film. These problems can be overcome by using metallic coatings which themselves do not oxidize during heating in vacuum and, when deposited, the oxide film is broken up and can be removed from the surface of the parent material. The most promising method is to use metallic coatings in the form of individual components of the brazing alloy which forms in contact melting of the deposited coatings with aluminum in heating for brazing. This brazing method is referred to as contact-reactive brazing and is used widely for brazing aluminum alloys. This article provides an overview of the contact-reactive brazing process.
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N., Kapilan, and Vidhya P. "Challenges and Issues of IoT Application in Heating Ventilating Air Conditioning Systems." In Role of IoT in Green Energy Systems, 171–93. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6709-8.ch008.

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The internet of things (IoT) is a system consisting of computing, mechanical, and electronic devices, which are having ability to transfer data in network without human interaction. The sensors used in IoT collect and transfer the data to the cloud, which is further processed using software to perform an action. The IoT is one of the fastest growing industries, and in recent years, it is most widely used in HVAC systems in residential and commercial applications to reduce the energy consumption as building consumes by approximately 40% of total energy. The IoT reduces the energy consumption of the building by optimizing the process variables of HVAC system components, increases life of system components, enhances the comfort of the occupants, and provides remote control of the system. However, there are challenges in data security and privacy, and also there is a lack of IoT platforms specifically oriented towards the proper processing, management, and analysis of such large and diverse data.
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Butuzov, Vitaliy A., Vitaly V. Butuzov, Elena Bryantceva, and Ilya Gnatyuk. "Experience and Prospects of Using Solar Energy for Heating Supply in Russia." In Handbook of Research on Renewable Energy and Electric Resources for Sustainable Rural Development, 26–60. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3867-7.ch002.

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Approaches to the organization of solar heat supply in Russia have a number of differences in comparison with the global experience, in particular, in the field of processing solar radiation data, designing solar collector designs, design techniques, construction and testing of solar heating systems, and the practice of creating and using solar plants. Examples of implementation of projects for creating heat supply systems in different regions of Russia are presented, from the southern (Krasnodar Territory) to the northern (Yakutia). A methodology for converting data for direct and diffuse solar radiation of NASA by taking into account the results of measurements of weather stations, which provides the possibility of their practical use, is presented. Data on the number, types, annual volumes of supplies, and names of producers of solar collectors in Russia are presented. Methodical approaches to the development of solar collectors structures based on the results of comparing the energy consumption for their production with the amount of energy produced by them during their lifetime are considered. A comparative analysis of solar design methodology in Russia and in Europe has been performed. Prospects for the construction of solar heat installations in Russia up to 2030 are considered.
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Ayele Haile, Abebe. "Important Medicinal Plants in Ethiopia: A Review in Years 2015–2020." In Herbs and Spices - New Processing Technologies [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97937.

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Many studies on medicinal plants have been taking place in different parts of Ethiopia and the people use them for the preparation of traditional herbal medicine. The purpose of the current study is to review the assessment of the medicinal plants used in Ethiopia, to compile the components used, the method of preparation, the medical uses, and the compilation of the number of medicinal plants in 2015–2020. This review paper took place in the years 2015 to 2020 from the published papers. Various databases, such as Science Direct, PubMed, and Google Scholar, have been searched. The data were analyzed using frequency, percentages, charts, and numbers using the Microsoft Excel spreadsheet 2010. In Ethiopia, a total of 4,007 medicinal plants were identified from different areas by different authors in the years 2015–2020. But, from this total number of identified medicinal plants, there was a similarity between types of plant species. Therefore, this total result has present similarities in plant species and types found in different areas. In 2015, a total of 1,062 medicinal plants were identified from different areas by different authors. Similarly, 315, 613, 944, 341, 732 medicinal plants were identified by different authors in different study areas in the years 2016, 2017, 2018, 2019, and 2020 respectively. The years 2015 and 2018 were the years many plants of medicinal value were documented. The growth forms of medicinal plants were analyzed from 2015 to 2020 in the different study areas with different authors but with the same year and valued for each year and put the average one. To calculate the 2015 growth form of medicinal plants for example to calculate herbs, add all herbs identified by different authors in the same year, and take the average one. This method applied to all growth forms of medicinal plants each year. In all years (2015–2020) the dominant growth forms were herbs. The highest average of growth form was herb in the year 2020 which is 44.2%. In all years the least growth form was a climber. In all growth forms, the parts used for medicine were identified. Add each medicinal plant’s parts in the same year and then take the average for all years. In 2020 year, the traditional healers mostly used leaves (56.3%) for the preparation of remedy. In general, in all year leaves was dominant for the preparation of remedy. Oral and dermal ways of the route of administration were the most important in medicinal plants to treat directly different ailments. The route of administration was varying in percentage from year to year and also, a place to place according to the potential of traditional healers and type of diseases. But, different study areas and years showed that oral administration was the dominant one. In 2019, most of the prepared remedy was taken orally. Crushing was the most important and more cited in the preparation of remedy in the year 2015–2020. Also, powdering, boiling, chewing, concoction, grinding, direct and immediate, chopping, squeezing, decoction, boiling/unprocessed use, liquid form, Homogenizing in water, heating, cooking, smoking, and fumigation are common methods of preparation of remedy. In general, this review highlights the situation of Ethiopian traditional medicinal plants associated with their knowledge from years to years. In addition, this review paper plays an important role in the extraction of potential medicinal plants to discover new drugs through detailed researches in the future.
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Lima de Aguiar, Martim, Pedro Dinis Gaspar, and Pedro Dinho da Silva. "Frost Measuring and Prediction Systems for Demand Defrost Control." In Novel Technologies and Systems for Food Preservation, 24–50. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7894-9.ch002.

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It is widely known that the defrosting operation of evaporators of commercial refrigeration equipment is one of the main causes of inefficiency on these systems. Several defrosting methods are used nowadays, but the most commonly used are still time-controlled defrosting systems, usually by either electric resistive heating or reverse cycle. This happens because most demand defrost methods are still considered complex, expensive, or unreliable. Demand defrost can work by either predicting frost formation by processing measured conditions (fin surface temperature, air humidity, and air velocity), operative symptoms of frost accumulation (pressure drop and refrigerant properties), or directly measuring the frost formation using sensors (photoelectric, piezoelectric, capacitive, resistive, etc.). The data measured by the sensors can be directly used by the system but can also be processed either by simple algorithms or more complex systems that use artificial intelligence and predictive methods. This chapter approaches frost sensing and prediction for command of demand defrost systems.
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Conference papers on the topic "Resistance heating – Data processing"

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Nwulu, Nnamdi I. "An artificial neural network model for predicting building heating and cooling loads." In 2017 International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2017. http://dx.doi.org/10.1109/idap.2017.8090314.

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Altuve, Miguel, Erika Severeyn, and Sara Wong. "Unsupervised subjects classification using insulin and glucose data for insulin resistance assessment." In 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA). IEEE, 2015. http://dx.doi.org/10.1109/stsiva.2015.7330444.

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Alshatshati, Salahaldin F., Kevin P. Hallinan, Abdulrahman Arlobaian, Badr Altarhuni, and Adel Naji. "Data Mining Approach for Estimating Residential Attic Thermal Resistance From Aerial Thermal Imagery, Utility Data, and Housing Data." In ASME 2017 11th International Conference on Energy Sustainability collocated with the ASME 2017 Power Conference Joint With ICOPE-17, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/es2017-3092.

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Conventional residential building energy auditing needed to identify opportunities for energy savings is expensive and time consuming. On-site energy audits require quantification of envelope R-values, air and duct leakage, and heating and cooling system efficiencies. There is a need to advance lower cost automated approaches, which could include aerial and drive-by thermal imaging at-scale in an effort to measure the building R-value. However, single-point in time thermal images are generally qualitative, subject to errors stemming from building dynamics, background radiation, wind speed variation, night sky thermal radiation, and error in extracting temperature estimates from thermal images from surfaces with generally unknown emissivity. This work proposes two alternative approaches for estimating roof R-values from thermal imaging, one a physics based approach and the other a data-mining based approach. Both approaches employ aerial visual imagery to estimate the roof emissivity based on the color and type of roofing material, from which the temperature of the envelope can be estimated. The physics-based approach employs a dynamic energy model of the envelope with unknown R-value and thermal capacitance. These are tuned in order to predict the measured surface temperature at the time of the imaging, given the transient weather conditions prior to the imaging. The data-mining approach integrates the inferred temperature measurement, historical utility data, and easily accessible or potentially easily accessible housing data. A data mining regression model, trained from this data using residences with known R-values, is used to predict the roof R-value in the unknown houses. The data mining approach was shown to be a far superior approach, demonstrating an ability to estimate attic/roof R-value with an r-squared value of greater than 0.88 using as few as nine training houses. The implication of this research is significant, offering the possibility of auditing residences remotely at-scale via aerial and drive-by thermal imaging coupled with utility analysis.
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Niska, H. "Extracting controllable heating loads from aggregated smart meter data using clustering and predictive modelling." In 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2013. http://dx.doi.org/10.1109/issnip.2013.6529818.

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Rahman, Tahsinur, Yasin Ahmed, Tawsiful Alam, Md Hasibur Rahman Shakil, Md Tanjidul Hossain, Fiaruz Nawer Khan, Shakib Mahmud Dipto, Mostafijur Rahman Akhond, and Md Ashraful Alam. "Evaluation of Earthquake Resistance of Urban Buildings using Image Processing and Machine Learning Techniques." In 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). IEEE, 2020. http://dx.doi.org/10.1109/csde50874.2020.9411582.

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Cheng, Lei, and Haibo Dang. "Development research of data processing system about mine ventilation resistance determination based on eclipse RCP." In Environment (ICMREE). IEEE, 2011. http://dx.doi.org/10.1109/icmree.2011.5930714.

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Jeong, Suk-Yong, Sung-Hoon Ahn, Dae-Sung Lee, Won-Hyeog Jin, Sung-Soo Jang, Il-Joo Cho, Young-Sik Kim, Hyo-Jin Nam, and Caroline Sunyong Lee. "Fabrication and Simulation of Silicon Nitride Cantilever for Low Power Nano-Data-Storage." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42630.

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An AFM tip silicon nitride cantilever was fabricated to observe thermal characteristics in order to increase data writing speed and lower power consumption. By using time dependent resistance and temperature dependent resistance curves of heating tip in experimental results, the changes of temperature on the tip were compared with simulated data. It was found that the thermal time constant of silicon nitride cantilever was 48 μs at 4 V input for 20 μs and 37 μs at 5 V input for 25 μs. Throughout the design modification, the model which has 0.5 μm, 2:1, 1000 Ω/□ shows the lowest power consumption. By changing the heating time, the power consumption of 0.158 mW and thermal time constant of 75 ns were finally observed.
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Sakagami, Takahide, Shiro Kubo, Takeshi Endo, and Yoshifumi Asakura. "Development of a new processing technique of sequential temperature data after pulse heating for quantitative nondestructive testing." In Defense and Security, edited by Douglas D. Burleigh, K. Elliott Cramer, and G. Raymond Peacock. SPIE, 2004. http://dx.doi.org/10.1117/12.546477.

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Billah, Kazi Md Masum, Ahmed Arabi Hassen, Aslan Nasirov, Gregory Haye, Jesse Heineman, Vlastimil Kunc, and Seokpum Kim. "Thermal Analysis of Large Area Additive Manufacturing Resistance Heating Composites for Out of Oven/Autoclave Applications." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23730.

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Abstract Additive Manufacturing (AM) of carbon fiber (CF) reinforced composite has received growing attention because of the design flexibility, superior mechanical properties, improved thermal properties, and weight reduction. Autoclave tooling was proven to be a successful application for large scale AM technology. The capital cost, and cost associated with heating, and cycle time in a conventional autoclave process is relatively high. Thus, an innovative design of AM mold with an efficient heating scheme is essential. This study represents an innovative method of the resistive heating of composite molds which does not require a room size oven for heating during the curing processing. Therefore, it has the potential to reduce the operating cost drastically. For the design validation and feasibility study, we performed a numerical analysis of the wire embedded and AM mold parts. The goal of this study is to determine and optimize the thermal behavior of the printed mold with embedded wire technology. It is anticipated that the larger distance between the embedded wires along the printing direction (z-direction) increase the cold spot, on the other hand, a close distance of the wire can create the unwanted localize heating, thus melting. Constant thermal properties of the 20 wt.% short CF reinforced acrylonitrile butadiene styrene (ABS) was used for the simulation purpose. Thermal characterization was set to 100°C to avoid the thermal deformation or bulging on the part surface.
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Ezzahri, Y., and A. Shakouri. "Analysing Transient Thermoreflectance Data Using Network Identification by Deconvolution." In ASME 2009 InterPACK Conference collocated with the ASME 2009 Summer Heat Transfer Conference and the ASME 2009 3rd International Conference on Energy Sustainability. ASMEDC, 2009. http://dx.doi.org/10.1115/interpack2009-89200.

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Network Identification by Deconvolution (NID) method is applied to the analysis of the thermal transient pulsed laser heating. This is the excitation used in many optical experiments such as the Pump-Probe Transient Thermoreflectance experiment. NID method is based on linear RC network theory using Fourier’s law of heat conduction. This approach is used to extract the thermal time constant spectrum of the sample after excitation by either a step or pulsed heat source at one surface. Furthermore, using network theory mathematical transformations, the details of the heat flux path through the sample can be analyzed. This is done by introducing the cumulative and differential structure functions. We show that the conventional NID method can be modified to analyze transient laser heating experiments. The advantage is that the thermal resistance of the top material layers and the major interface thermal resistances can be extracted without the need of assuming a specific multilayer structure. Some of the limitations due to the finite thermal penetration depth of the transient heat pulse will be discussed.
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