Relevant bibliographies by topics / Individual differences scaling

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Individual differences scaling'

Author: Grafiati
Published: 30 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Individual differences scaling"

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Malkoc, G., P. Kay, and M. A. Webster. "Individual differences in hue scaling." Journal of Vision 3, no. 12 (March 28, 2010): 34. http://dx.doi.org/10.1167/3.12.34.

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Emery, Kara, David Peterzell, Vicki Volbrecht, and Michael Webster. "Factors underlying individual differences in hue scaling." Journal of Vision 16, no. 12 (September 1, 2016): 1148. http://dx.doi.org/10.1167/16.12.1148.

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Ruette, T., and D. Speelman. "Transparent aggregation of variables with Individual Differences Scaling." Literary and Linguistic Computing 29, no. 1 (February 23, 2013): 89–106. http://dx.doi.org/10.1093/llc/fqt011.

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Kreiman, Jody, Bruce R. Gerratt, Kristin Precoda, and Gerald S. Berke. "Individual Differences in Voice Quality Perception." Journal of Speech, Language, and Hearing Research 35, no. 3 (June 1992): 512–20. http://dx.doi.org/10.1044/jshr.3503.512.

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Sixteen listeners (10 expert, 6 naive) judged the dissimilarity of pairs of voices drawn from pathological and normal populations. Separate nonmetric multidimensional scaling solutions were calculated for each listener and voice set. The correlations between individual listeners’ dissimilarity ratings were low However, scaling solutions indicated that each subject judged the voices in a reliable, meaningful way. Listeners differed more from one another in their judgments of the pathological voices (which varied widely on a number of acoustic parameters) than they did for the normal voices (which formed a much more homogeneous set acoustically). The acoustic features listeners used to judge dissimilarity were predictable from the characteristics of the stimulus sets’ only parameters that showed substantial variability were perceptually salient across listeners. These results are consistent with prototype models of voice perception They suggest that traditional means of assessing listener reliability n voice perception tasks may not be appropriate, and highlight the importance of using explicit comparisons between stimuli when studying voice quality perception
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Adams, L., N. Chronos, R. Lane, and A. Guz. "The measurement of breathlessness induced in normal subjects: individual differences." Clinical Science 70, no. 2 (February 1, 1986): 131–40. http://dx.doi.org/10.1042/cs0700131.

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1. Normal subjects show wide variability in their sensory scaling of breathlessness for equivalent degrees of ventilatory stimulation and behave ‘characteristically’ irrespective of stimulus type. 2. Observed differences are not explained by physical characteristics, ventilatory sensitivity or pattern of breathing although there is a weak association with the degree of physical fitness. 3. Differences are seen when scaling is performed with reference to both rigidly defined extremes of breathlessness (visual analogue scaling) and a subject's own relative changes in the intensity of this sensation (magnitude estimation). 4. These findings may explain the common observation, in patients with respiratory disease, of dyspnoea out of proportion to the pathophysiological state.
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Köhn, Hans-Friedrich. "Combinatorial individual differences scaling within the city-block metric." Computational Statistics & Data Analysis 51, no. 2 (November 2006): 931–46. http://dx.doi.org/10.1016/j.csda.2005.09.013.

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Shrivastav, Rahul. "Multidimensional Scaling of Breathy Voice Quality: Individual Differences in Perception." Journal of Voice 20, no. 2 (June 2006): 211–22. http://dx.doi.org/10.1016/j.jvoice.2005.04.005.

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Winter, Edward M. "Scaling: Partitioning out Differences in Size." Pediatric Exercise Science 4, no. 4 (November 1992): 296–301. http://dx.doi.org/10.1123/pes.4.4.296.

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In his “Editor’s Notes,” Rowland (15) raised an issue that is fundamentally important but frequently appears to be misunderstood. The issue is scaling, that is, the means of partitioning out differences in size. Because physiological variables are often dependent on size, an adjustment has to be made to “normalize” for body dimensions and assess more precisely a particular characteristic. These adjustments have four main applications: (a) to an individual who is compared against standards for the purposes of assessment; (b) in comparisons between groups; (c) in longitudinal studies, especially with children, in which for instance the effects of training have to be disentangled from the effects of growth and development; and (d) in studies that explore the relationship between physiological variables and performance. The purpose of this review is to assess the most appropriate means of scaling and demonstrate how well-intentioned, but nevertheless incorrect, scaling techniques have probably produced misleading results and retarded progress in our understanding of the physiology of exercise.
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Nowicki, Julie R., and Bruce G. Coury. "Individual Differences in Processing Strategy for a Bargraph Display." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 19 (October 1993): 1315–19. http://dx.doi.org/10.1518/107118193784162317.

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The bargraph has been described in several ways: as a separable display, as an integral display, and as a configural display with emergent features. The versatility of the bargraph may be in part due to the support it provides for different individual processing strategies. This research identifies two general types of strategies - holistic and analytic - which are developed by individuals to solve a classification problem on the bargraph. Multidimensional scaling (MDS), response times, and verbal reports are used to analyze individual strategies. Individuals who developed holistic strategies produced significantly faster reaction times, and reported simple, efficient strategies, with the emergent feature of bargraph shape as an important dimension. The results indicate that the bargraph provides perceptual features which can support several general types of processing strategy.
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Kim, Kyung-Sun, Eun-Young Yoo, Nahyun Kwon, and Sei-Ching Joanna Sin. "Individual differences in source selection behavior: Profile analyses via multidimensional scaling." Proceedings of the American Society for Information Science and Technology 46, no. 1 (2009): 1–5. http://dx.doi.org/10.1002/meet.2009.14504603119.

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Dissertations / Theses on the topic "Individual differences scaling"

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Kapnoula, Efthymia Evangelia. "Individual differences in speech perception: sources, functions, and consequences of phoneme categorization gradiency." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/3115.

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During spoken language comprehension, listeners transform continuous acoustic cues into categories (e.g. /b/ and /p/). While longstanding research suggests that phoneme categories are activated in a gradient way, there are also clear individual differences, with more gradient categorization being linked to various communication impairment like dyslexia and specific language impairments (Joanisse, Manis, Keating, & Seidenberg, 2000; López-Zamora, Luque, Álvarez, & Cobos, 2012; Serniclaes, Van Heghe, Mousty, Carré, & Sprenger-Charolles, 2004; Werker & Tees, 1987). Crucially, most studies have used two-alternative forced choice (2AFC) tasks to measure the sharpness of between-category boundaries. Here we propose an alternative paradigm that allows us to measure categorization gradiency in a more direct way. We then use this measure in an individual differences paradigm to: (a) examine the nature of categorization gradiency, (b) explore its links to different aspects of speech perception and other cognitive processes, (c) test different hypotheses about its sources, (d) evaluate its (positive/negative) role in spoken language comprehension, and (e) assess whether it can be modified via training. Our results provide validation for this new method of assessing phoneme categorization gradiency and offer valuable insights into the mechanisms that underlie speech perception.
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Frank, Erika. "A STATISTICAL APPROACH FOR IDENTIFICATION OF CHEMICAL GROUPINGS OF ELEMENTS IN SWEDISH ROCKS WITH SPECIAL FOCUS ON ARSENIC AND SULPHUR." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447527.

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Groundwater analyses have revealed high concentrations of the toxic element arsenic around Stockholm and Mälardalen, a problem that often is linked to high levels of arsenic in the bedrock and which could be escalated by the many construction projects in the same region. However, it is unknown what part of the bedrock is causing the contamination. The aim of this thesis is to identify the chemical elements that associate with arsenic and study how the rock types differ in their content of elements and compounds. The highest median concentration of arsenic is found in quartz-feltspar-rich sedimentary rock, while intrusive rock types reveal the lowest levels. Using cluster analysis, arsenic is placed in a group including nine other elements, to which the strongest correlations are found with antimony, bismuth and silver. A moderate correlation with sulphur is also observed. The associations between groupings of elements are analysed using measures of dependence, which reveal relatively strong associations. Dimension reduction and ordination techniques provide further insight to the typical appearances of elements and reveal two groups of similar rock types.
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Sousa, Samuel Anderson Alves de 1983. "Novas metodologias para a análise de dados em ciências ômicas e para o controle de qualidade de amostras de biodiesel-diesel." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/248548.

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Orientadores: Márcia Miguel Castro Ferreira, Alvicler Magalhães
Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Química
Made available in DSpace on 2018-08-25T12:46:59Z (GMT). No. of bitstreams: 1 Sousa_SamuelAndersonAlvesde_D.pdf: 6563141 bytes, checksum: df96f3f360351f7d74d92a5834369ecf (MD5) Previous issue date: 2013
Resumo: Neste trabalho são apresentadas duas novas metodologias multivariadas. Na primeira, é desenvolvida uma ferramenta denominada bucketing otimizado para a correção dos desalinhamentos dos espectros de RMN 1H. A análise de componentes principais em intervalos (iPCA) é utilizada para explorar espectros de RMN 1H e 13C. Para a diminuição de ruído destes últimos é utilizada a análise de componentes principais em múltiplas escalas (MSPCA). Os modelos iPCA são construídos para as classes de amostras, metropolitanas e não metropolitanas, em conjunto e separadas, atuando complementarmente na detecção de amostras não conformes. Neste contexto, os padrões espectrais apontaram amostras, previamente reprovadas pelos parâmetros físico-químicos próprios do campo de biocombustíveis. Adicionalmente, os modelos reprovaram amostras com padrões espectrais distintos, não reprovadas pelos parâmetros citados. De modo geral, o desempenho dos modelos utilizando os espectros de RMN 1H foi satisfatório. Uma exceção foi a detecção de amostras fora da especificação para o teor de biodiesel, onde as distinções nos espectros não permitiram a discriminação de amostras com teores próximo ao limite. Contudo, ao se estender um pouco a faixa sugerida na legislação, os modelos mostraram boa melhoria. Os modelos a partir dos espectros de RMN 13C obtiveram desempenho inferior àqueles citados acima. No segundo estudo é apresentado um novo método denominado escalamento de diferenças individuais multinível (ML-INDSCAL), para analisar a variação intra-individual em dados das ciências ômicas, focando em mudanças nas covariâncias dentro dos grupos experimentais e evidenciando as relações entre as variáveis (BVRs). Como somente a variação intra-individual é usada para revelar as BVRs associadas às mudanças dinâmicas, as interpretações sobre o fenômeno no qual os efeitos se baseiam são melhoradas. Um conjunto de dados simulado é explorado para demonstrar a força do método. O método é também aplicado a um conjunto real de dados de um estudo de expressões genéticas em células expressando a proteína viral R (Vpr) na forma nativa e com as mutações R80A e F72A/R73A. O procedimento jack-knife é explorado na validação dos modelos ML-INDSCAL. O método ML-INDSCAL é o primeiro da literatura que combina a exploração da estrutura multinível do conjunto de dados e a investigação de BVRs e pode fornecer valiosas contribuições no campo de seleção de características
Abstract: In this work, two new multivariate methodologies are presented. In the first approach, a tool named optimized bucketing is developed to correct 1H NMR spectra misalignments. The interval principal component analysis (iPCA) is used in order to explore 1H and 13C NMR spectra. The multiscale principal component analysis (MSPCA) is used for denoising of 13C NMR spectra. The iPCA models are built for two classes of samples, metropolitan and non-metropolitan, together and isolated, complementarily providing out-of-specification samples detections. In this context, the spectral profiles pointed out samples out of specification, in accordance to their previously known physical-chemical parameters from the field of biofuels. Additionally, the models were able to identify samples with distinct spectral profiles, but not rejected by the cited parameters. In general, the iPCA models using 1H NMR spectra presented good performances. An exception involves the detection of out-of-specification samples for biodiesel content, where the distinction on spectra profiles did not allow discrimination of samples when the biodiesel content was close to the allowed limit. Nevertheless, a small extension in the range, adopted by the Brazilian legislation, was enough to produce an improvement. The models from the 13C NMR spectra achieved worse performance than those cited above. In the second study is presented a novel method named multilevel individual differences scaling (ML-INDSCAL) to analyze within-individual variation in omic data, focusing on the changing covariances within groups and evidencing the between variables relationships (BVRs). Since only the within-individual variation is used to reveal the BVRs associated to dynamic changes, the interpretations about the real phenomena underlying the treatment are improved. A simulated data set is explored to demonstrate the strength of the method. Also, the method is applied to a real data set from a study of expression profiles in cell lines expressing wild-type and two mutated (R80A and F72A/R73A strains) Vpr. A version of the jack-knife procedure is explored in order to validate the ML-INDSCAL models. The ML-INDSCAL is the first method in literature that combines the exploration of the multilevel structure and the BVRs investigation and it can provide valuable insights on the feature selection field
Doutorado
Físico-Química
Doutor em Ciências
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Dwyer, Theodore James. "An Assessment of Paired Similarities and Card Sorting." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000158.

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Book chapters on the topic "Individual differences scaling"

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Cieciuch, Jan. "Multidimensional Scaling (MDS)." In Encyclopedia of Personality and Individual Differences, 3015–18. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1329.

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Cieciuch, Jan. "Multidimensional Scaling (MDS)." In Encyclopedia of Personality and Individual Differences, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_1329-1.

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Ding, Cody S. "Individual Differences MDS Model." In Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research, 97–108. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78172-3_7.

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Oksanen, Jari, and Pertti Huttunen. "Finding a common ordination for several data sets by individual differences scaling." In Progress in theoretical vegetation science, 137–45. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-1934-1_11.

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Liu, Daniel. "Scaling from Weather to Climate." In Cultural Inquiry, 93–117. Berlin: ICI Berlin Press, 2020. http://dx.doi.org/10.37050/ci-17_05.

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One of the theoretical tensions that has arisen from Anthropocene studies is what Dipesh Chakrabarty has called the ‘two figures of the human’, and the question of which of these two figures of the human inheres in the concept of the Anthropocene more. On the one hand, the Human is conceived as the universal reasoning subject upon whom political rights and equality are based, and on the other hand, humankind is the collection of all individuals of our species, with all of the inequalities, differences, and variability inherent in any species category. This chapter takes up Deborah Coen’s argument that Chakrabarty’s claim of the ‘incommensurability’ of these two figures of the human ignores the way both were constructed within debates over how to relate local geophysical specificities to theoretical generalities. This chapter examines two cases in the history of science. The first is Martin Rudwick’s historical exploration of how geologists slowly gained the ability to use fossils and highly local stratigraphic surveys to reconstruct the history of the Earth in deep time, rather than resort to speculative cosmological theory. The second is Coen’s own history of imperial, Austrian climate science, a case where early nineteenth-century assumptions about the capriciousness of the weather gave way to theories of climate informed by thermodynamics and large-scale data collection.
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Dunn-Rankin, Peter, Gerald A. Knezek, Susan Wallace, and Shuqiang Zhang. "Individual Differences Scaling." In Scaling Methods, 185–97. 2nd ed. Psychology Press, 2014. http://dx.doi.org/10.1201/9781410611048-19.

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"Individual differences models." In Multidimensional Scaling, Second Edition. Chapman and Hall/CRC, 2000. http://dx.doi.org/10.1201/9781420036121.ch10.

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"Multidimensional Scaling of Individual Differences: Individual Distortions of a Mean Structure." In The Quantitative Analysis of Social Representations, 97–114. Routledge, 2014. http://dx.doi.org/10.4324/9781315040998-14.

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Teremko, Vasyl. "PRINT AS THE CONTEXTUAL FACTOR OF MODERN AGE." In Integration of traditional and innovation processes of development of modern science. Publishing House “Baltija Publishing”, 2020. http://dx.doi.org/10.30525/978-9934-26-021-6-10.

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This article traces the transformations of individual, caused by informational interventions in his\her mental world, intensified by the development of print as a technological centre of the Industrial Era media system, followed the explosion of consumer psychology, replacing individuality by the “mass person” perplexed by “fashion epoch”. A humanistic ideal, self-sufficient, self-sustained individual appears in such worldview systems as a consumer. A set of individuals selected by specific criteria appears as the target audience, the mass consumer, chosen to buy everything from tastes and goods to ideologies, political doctrines, ways of life, fashion, government, friends, enemies and even war or peace. The production of such consumers started with the phenomena of scaling and unification, intensified by the books-bestsellers, mass media, tabloids, glossy and glamorous magazines, entertainment television, pop music, blockbusters and TV series. Based on the investigation of individual and mass subconscious psychological mechanisms and impact techniques, taste and critical thinking was consistently destroyed, which drove to imposing absolute consumerism as continuously stimulated insatiability of needs, leading to the consumption loop, where requirements are impossible to satisfy. Intellectually simplified, spiritually exhausted media signals, aimed at the instinctively emotional spheres of individuals, steadily lowered the horizon of personal expectations and the thresholds of information accessibility, weakened critical thinking, blurred ethical filters, levelled tastes and transformed the audience into a mass. Furthermore, despite the specific differences, this trend has penetrated all social and individual spheres. Under the pressure of aggressive reality and communication campaigns, a holistic, harmonious, self-aware, intentional personality lost its value for itself. The process, begun in the New Age, was a kind of denial of its foundations and prepared an individual for the transition to the information age.
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Osorio, Roberto, and Lisa Borland. "Distributions of High-Frequency Stock-Market Observables." In Nonextensive Entropy. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195159769.003.0023.

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Power laws and scaling are two features that have been known for some time in the distribution of returns (i.e., price fluctuations), and, more recently, in the distribution of volumes (i.e., numbers of shares traded) of financial assets. As in numerous examples in physics, these power laws can be understood as the asymptotic behavior of distributions that derive from nonextensive thermostatistics. Recent applications of the (Q-Gaussian distribution to returns of exchange rates and stock indices are extended here for individual U.S. stocks over very small time intervals and explained in terms of a feedback mechanism in the dynamics of price formation. In addition, we discuss some new empirical findings for the probability density of low volumes and show how the overall volume distribution is described by a function derived from q-exponentials. In March 1900 at the Sorbonne, a 30-year-old student—who had studied under Poincaré—submitted a doctoral thesis [2] that demonstrated an intimate knowledge of trading operations in the Paris Bourse. He proposed a probabilistic method to value some options on rentes, which were then the standard French government bonds. His work was based on the idea that rente prices evolved according to a random-walk process that resulted in a Gaussian distribution of price differences with a dispersion proportional to the square root of time. Although the importance of Louis Bachelier's accomplishment was not recognized by his contemporaries [24], it preceded by five years Einstein's famous independent, but mathematically equivalent, description of diffusion under Brownian motion. The idea of a Gaussian random-walk process (later preferably applied to logarithmic prices) eventually became one of the basic tenets of most twentieth-century quantitative works in finance, including the Black-Scholes [3] complete solution to the option-valuation problem—of which a special case had been solved by Bachelier in his thesis. In the times of the celebrated Black-Scholes solution, however, a change in perspective was already under way. Starting with the groundbreaking works of Mandelbrot [18] and Fama [11], it gradually became apparent that probability distribution functions of price changes of assets (including commodities, stocks, and bonds), indices, and exchange rates do not follow Bachelier's principle of Gaussian (or "normal") behavior.
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Conference papers on the topic "Individual differences scaling"

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Zou, Shangyin, Yuki Ban, and Shin'ichi Warisawa. "Investigating Individual Differences in Olfactory Adaptation to Pulse Ejection Odor Display by Scaling Olfaction Sensitivity of Intensity." In 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2021. http://dx.doi.org/10.1109/vrw52623.2021.00127.

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Masui, Hideki, Makoto Kashiwagi, Wolfgang Mu¨ller, and Bertrand Lante`s. "Suggestion to Waste Classification for Scaling Factor Method." In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-5007.

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Scaling factors (SF) are widely used to determine the nuclide specific radioactivity concentration of a waste package. In this paper, an appropriate waste classification for applying the same SF value is considered through a study of differences in physicochemical behavior of nuclides and a comparison of nuclide data obtained by a radiochemical analysis of actual wastes from several waste streams. Corrosion product (CP) nuclides show only minor differences in production/transportation behavior through all waste streams because they are generated by the activation of reactor materials and have low solubility in common. Therefore a unified SF for all waste streams is considered applicable, though the SF can at best be determined for each individual waste stream. Fission product (FP) nuclides and alpha-emitters are generated by neutron capture and nuclear fission and their solubility varies. If Cs-137 is selected as the key nuclide, distinct differences in nuclides ratios are recognized between homogeneous waste (e.g. resins, concentrates) and heterogeneous waste (e.g. filter cartridges, dry active waste). This is mainly because the release behavior and the solubility of alpha emitters and FP nuclides differ from those of Cs-137. Our study suggests that all waste streams can be divided into those two categories. On the other hand, some countries selected Co-60 as key nuclide for alpha-emitters and some FP nuclides. If Co-60 is selected as the key nuclide, it may be helpful to categorize power plants according to their fuel failure history. This is because the generation mechanism of the key nuclide differs from that of the difficult to measure (DTM) nuclides. Within each categorization, insignificant differences are recognized in terms of ratios of DTM nuclides to Co-60, for both nuclides have rather low solubility. Therefore a unified SF can be applicable, though further categorization of SF is possible for more accurate estimate.
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Li, Y. G., M. F. Abdul Ghafir, L. Wang, R. Singh, K. Huang, and X. Feng. "Non-Linear Multiple Points Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22285.

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Accurate gas turbine performance models are crucial in many gas turbine performance analysis and gas path diagnostic applications. With current thermodynamic performance modelling techniques, the accuracy of gas turbine performance models at off-design conditions is determined by engine component characteristic maps obtained in rig tests and these maps may not be available to gas turbine users or may not be accurate for individual engines. In this paper, a non-linear multiple point performance adaptation approach using a Genetic Algorithm is introduced with the aim to improve the performance prediction accuracy of gas turbine engines at different off-design conditions by calibrating the engine performance models against available test data. Such calibration is carried out with introduced non-linear map scaling factor functions by ‘modifying’ initially implemented component characteristic maps in the gas turbine thermodynamic performance models. A Genetic Algorithm is used to search for an optimal set of non-linear scaling factor functions for the maps via an objective function that measures the difference between the simulated and actual gas path measurements. The developed off-design performance adaptation approach has been applied to a model single spool turboshaft aero gas turbine engine and demonstrated a significant improvement in the performance model accuracy at off-design operating conditions.
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Geekiyanage, Suranga C. H., Adrian Ambrus, and Dan Sui. "Feature Selection for Kick Detection With Machine Learning Using Laboratory Data." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-95496.

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Abstract Conventional kick detection methods mainly include monitoring pit gains, surface flow data (flow in and flow out), surface and down-hole pressure variations, and outputs from physics-based models. Kick detection times depend on a driller’s individual ability to interpret these drilling measurements, symptoms and model predictions. Furthermore, testing a novel data-driven solution in a full-scale operation may induce non-productive time, safety risks and crew fatigue adding to false alarms that inevitably occur during testing. Therefore, the development of better, faster and less human intervention-dependent kick detection on a laboratory scale system is a valuable step before full-scale testing. We have generated a dataset containing seven typical drilling measurements and a sequence of gas kicks from experiments conducted in the laboratory scale. First, we employ data analysis tools following data pre-processing steps, data scaling, outlier detection, and natural feature selection. Next, we consider additional “engineered features” and apply different feature combinations to logistic regression with an ensemble method (boosting) for developing kick detection algorithms. In our data analysis, ‘Delta flow’ (difference between flow in and flow out of the well) and ‘Rate of change of delta flow’ designed features, combined with logistic regression and boosting, give promising results in detecting kicks. Finally, we propose an intelligent algorithm and alarm architecture for a complete kick alarm system, which draws from both data analysis and machine learning models developed in this work.
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Casey, Ross D., Michael J. Brandemuehl, Tim Merrigan, and Jay Burch. "Performance Modeling of an Air-Based Photovoltaic/Thermal (PV/T) Collector." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90474.

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This paper studies a collector design that utilizes unglazed photovoltaic/thermal (PV/T) collectors preheating air for glazed air heating modules. The performance modeling of these collectors is examined both individually and in series. For each collector type, a dynamic, finite difference, first-law model has been created using literature correlations for friction. The models were compared to performance data, calibrating the models by scaling of friction terms for best fit. The calibrated models generally agree well with the experimental data; even during sudden changes to ambient conditions. The root mean square error between the unglazed PV/T model and experiment results for the useful thermal energy gain and the outlet air temperature are 7.12 W/m2 and 1.07°C, respectively. The annual source energy performance of the building-integrated PV/T (BIPV/T) array is then simulated for residential applications in seven climate zones of the United States of America. The performance of the BIPV/T array is characterized by the amount of net electrical energy and useful thermal energy produced. The useful thermal energy is defined as the amount of energy offset by the BIPV/T system for water heating and space conditioning. A BIPV/T system composed 87.5% of PV modules, and 12.5% of glazed air heating modules, offsets the same amount of source energy as a roof-mounted PV system of the same area. This array composition increases the thermal energy gain by 47% over a BIPV/T array composed solely of PV modules.
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