Готові списки джерел за темами / Variability analyzing

Добірка наукової літератури з теми "Variability analyzing"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "Variability analyzing"

Rajaram, Kumar, and Andreas Robotis. "Analyzing variability in continuous processes." European Journal of Operational Research 156, no. 2 (July 2004): 312–25. http://dx.doi.org/10.1016/s0377-2217(03)00044-4.

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Birdsong, David. "Analyzing variability in L2 ultimate attainment." Language, Interaction and Acquisition 12, no. 1 (July 27, 2021): 133–56. http://dx.doi.org/10.1075/lia.21001.bir.

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Abstract Ultimate attainment is typically more heterogeneous among second-language (L2) learners than among native speakers (e.g. Bley-Vroman, 1990). The present study offers a suite of simple analytical procedures aimed at exploring types and loci of variability in L2 attainment vis-à-vis those in the corresponding first language (L1), with special attention to certain learner-external factors that might condition such variabilities. To demonstrate the methods and their potential, we apply these procedures to learner and native acceptability judgment data published in Birdsong (1992). Under means analyses of item ratings and coefficients of variation (CV), a group of adult Anglophone learners of L2 French (ENS) are found to resemble native French controls (FNS). In contrast, under correlational analyses of ratings and CVs, ENS resemble FNS on grammatical items, but diverge on ungrammatical items. Correlational and means analyses of both CV and acceptability ratings reveal that ENS-FNS convergence is not predictable from the degree of FNS ratings variability, contra DeKeyser (2012). For both groups, we observe an interaction between FNS ratings variability and the grammatical status of items (ungrammatical vs. grammatical). Finally, for neither group do we find a relationship between the order of item presentation and ratings severity or CVs. We present our perspectives as a road map for future analyses of variabilities inherent in language learning outcomes.

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Jarrett, Jeffrey E., and Xia Pan. "Monitoring Variability and Analyzing Multivariate Autocorrelated Processes." Journal of Applied Statistics 34, no. 4 (May 2007): 459–69. http://dx.doi.org/10.1080/02664760701231849.

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De Palma, André, Cédric Fontan, and Asad J. Khattak. "Analyzing work departure time variability in Brussels." Reflets et perspectives de la vie économique XLIII, no. 4 (2004): 89. http://dx.doi.org/10.3917/rpve.434.0089.

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Brings, Jennifer, Marian Daun, Thorsten Weyer, and Klaus Pohl. "Analyzing goal variability in cyber-physical system networks." ACM SIGAPP Applied Computing Review 20, no. 2 (July 27, 2020): 19–35. http://dx.doi.org/10.1145/3412816.3412818.

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Choudhary, Tilendra, Mousumi Das, L. N. Sharma, and M. K. Bhuyan. "Analyzing seismocardiographic approach for heart rate variability measurement." Biomedical Signal Processing and Control 68 (July 2021): 102793. http://dx.doi.org/10.1016/j.bspc.2021.102793.

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Min, Chang-Gi. "Analyzing the Impact of Variability and Uncertainty on Power System Flexibility." Applied Sciences 9, no. 3 (February 8, 2019): 561. http://dx.doi.org/10.3390/app9030561.

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This study investigates the impact of variability and uncertainty on the flexibility of a power system. The variability and uncertainty make it harder to maintain the balance between load and generation. However, most existing studies on flexibility evaluation have not distinguished between the effects of variability and uncertainty. The countermeasures to address variability and uncertainty differ; thus, applying strategies individually tailored to variability and uncertainty is helpful for more efficient operation and planning of a power system. The first contribution of this study is in separating the variability and uncertainty, and determining which is more influential in terms of flexibility in specific system situations. A flexibility index, named the ramping capability shortage probability (RSP), is used to quantify the extent to which the variability and uncertainty affect the flexibility. The second contribution is to generate various scenarios for variability and uncertainty based on a modified IEEE-RTS-96, to evaluate the flexibility. The penetration level of renewable energy resources is kept the same in each scenario. The results of a sensitivity analysis show that variability is more effective than uncertainty for high and medium net loads.

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A. A. Rashid, Rabiatul, Puteri N. E. Nohuddin, and Zuraini Zainol. "Analyzing Climate Variability in Malaysia Using Association Rule Mining." International Journal of Engineering & Technology 7, no. 4.34 (December 13, 2018): 394. http://dx.doi.org/10.14419/ijet.v7i4.34.26881.

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Previous surveys proved that data mining is one of the methods that can be utilized for climate prediction, predominantly clustering and classification are the most applied methods in data mining to build a model to predict changes in the climate. Unlike the climate change, climate variability is a phenomenon where the occurrence of climate uncertainty is according to the changes year to year basis. This study is focusing to look at the effectiveness of the Association Rule Mining (ARM) techniques in predicting climate variability events in Malaysia. In this report, it explained how the patterns that exist within climate data is discovered using ARM and how the extracted pattern is used to predict climate variability. In this report also, a framework is developed to explain how ARM can generate rules and extract patterns from the data and how the extracted rules and patterns is used to develop a model for predicting climate variability event.

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Raimondi, Gianfranko, Aleksander Martynenko, S. Ostropolets, and N. Marchitto. "Artificial intelligence for heart rate variability analyzing with arrhythmias." Klinical Informatics and Telemedicine 14, no. 15 (December 20, 2019): 46–52. http://dx.doi.org/10.31071/kit2019.15.03.

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Vieira, Sidney Rose, Célia Regina Grego, and George Clarke Topp. "Analyzing spatial and temporal variability of soil water content." Bragantia 67, no. 2 (2008): 463–69. http://dx.doi.org/10.1590/s0006-87052008000200022.

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During the last two decades geoestatistical methods have been intensively used for in-depth descriptions of spatial variability. The objective of this study was to assess the spatial and temporal variability of soil water content. The measurements were taken with a TDR equipment to a 20 cm depth, in a nearly flat 1.2 ha field at the Central Experimental Farm of the Agriculture Canada, Ottawa. The soil classified as a Rideau soil series, is a clay loam soil. A square grid with 10 m spacing was laid out, resulting in 164 sampling points at which two TDR rods were installed to measure the water content down to 20 cm depth. Measurements were taken on 33 dates during the frost free months in 1987, 1988 and 1989. The spatial variability was analyzed examining the scaled semivariograms, the statistical parameters and the parameters of the models fit to individual semivariograms as a function of time. It was concluded that spatial dependence decreases as the soil gets drier and that results from one year connect almost continuously to other years. The topography and structure of topsoil horizon was the primary cause for the repeating spatial pattern of soil water content in successive samplings. The places where the mean value occurred in the field were more stable in time when there was spatial dependence. As the soil gets dryer the temporal stability of the spatial distribution tends to disappear due to the hydraulic conductivity controlling the water evaporation over the field

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Дисертації з теми "Variability analyzing"

S, Alhalalmeh, A. Pecherska, and O. N. Velichko. "Main aspects of developing an information system for heart rate variability analyzing." Thesis, ХМУ, 2019. http://openarchive.nure.ua/handle/document/10027.

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All information about patient and his visits through the data input unit come to database. Information in a database is stored in the related tables. Principles of encapsulation and hiding data should be taken into account. This is necessary to maintain data integrity and consistency which processed in the program. The collection of data and methods of their description should have easy access to them and be structured according to the general algorithm.

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Bhandari, Ranjit. "ANALYZING STREAMFLOW VARIABILITY UNDER CMIP5 PROJECTIONS USING SWAT MODEL." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2363.

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For analyzing the effect of climate change on the streamflow at a regional scale, six General Circulation Models (GCMs) were selected from among eighteen GCMs from the Coupled Model Intercomparison Project (CMIP5) for the Pajaro River Watershed in central California. The 1/8° latitude-longitude resolution bias-corrected and downscaled CMIP5 projections were utilized for an ensemble of GCMs under four Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0 and RCP8.5). The twenty-first century is segregated into three time-periods (2016-2039, 2040-2069 and 2070-2099) for comparing the streamflow against changing precipitation and temperature according to the CMIP5 projections. The daily maximum and daily minimum temperature are projected to consistently rise through to the latter part of the century. Csiro-mk3-6 and canesm2 models project an increase of 3.1°C in annual average daily maximum temperature and 3.4°C in annual average daily minimum temperature respectively in 2070-2099 period under RCP8.5 scenarios. Future precipitation is projected to increase in January and February, which means the wet months in the Pajaro River Watershed are likely to get more rainfall. The dry months would continue to receive diminished precipitation throughout the century. The streamflow was increasing on future January, and sporadically, in February months but diminished during the dry months. The range of annual average streamflow for the future years stretched from 0.1 to 29.1 m3/s for the GCM ensemble, mostly close to the lower limit. The results suggest considering multiple climate change scenarios and evaluating alternative setups would provide a robust basis for hydrological assessment.

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Griesser, Thomas. "Reconstruction of global upper-level circulation 1880-1957 for analyzing decadal climate variability /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17962.

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Bhandari, Swastik. "ANALYZING THE RELATIONSHIP BETWEEN LARGE SCALE CLIMATE VARIABILITY AND STREAMFLOW OF THE CONTINENTAL UNITED STATES." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2362.

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Over the years there is an increasing evidence of climate change on the available water resources. The interaction of hydrological cycle with climate variability and change may provide information related with several water management issues. The current study analyzes streamflow variability of the United States due to large-scale ocean-atmospheric climate variability. In addition, forecast lead-time is also improved by coupling climate information in a data driven modeling framework. The spatial-temporal correlation between streamflow and oceanic-atmospheric variability represented by sea surface temperature (SST), 500-mbar geopotential height (Z500), 500-mbar specific humidity (SH500), and 500-mbar east-west wind (U500) of the Pacific and the Atlantic Ocean is obtained through singular value decomposition (SVD). For forecasting of streamflow, SVD significant regions are weighted using a non-parametric method and utilized as input in a support vector machine (SVM) framework. The Upper Rio Grande River Basin (URGRB) is selected to test the applicability of the proposed forecasting model for the period of 1965-2014. The April-August streamflow volume is forecasted using previous year climate variability, creating a lagged relationship of 1-13 months. To understand the effect of predefined indices such as El Nino Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO) on the regional streamflow, a wavelet analysis is also performed for regions developed by from 2014 National Climate Assessment (NCA). Moreover, different SVD approach is performed for streamflow of each of the six NCA regions named as Great Plains, Midwest, Northeast, Northwest, Southeast, and Southwest. In regional case, SVD is applied initially with streamflow and SST; and that spatial-temporal correlation is later correlated with Z500, SH500, and U500 separately to evaluate the interconnections between climate variables. SVD result showed that the streamflow variability of the URGRB was better explained by SST and U500 as compared to Z500 and SH500. The SVM model showed satisfactory forecasting ability as the observed and forecasted streamflow volume for different selected sites were well correlated. The best results were achieved using a 1-month lead to forecast the following 4-month period. Overall, the SVM results showed excellent predictive ability with average linear correlation coefficient of 0.89 and Nash-Sutcliffe efficiency of 0.79. Whereas regional SVD analysis showed that streamflow variability in the Great Plains, Midwest, and Southwest region is strongly associated with SST of ENSO-like region. However, for Northeast and Southeast region, U500 and SH500 were strongly correlated with streamflow as compared to the SST of the Pacific Ocean. The continuous wavelet analysis of ENSO/PDO/AMO and the regional streamflow patterns revealed different significant timescale bands that affected their variation over the study period. Identification of several teleconnected regions of the climate variables and the association with the streamflow can be helpful to improve long-term prediction of streamflow resulting in better management of water resources in the regional scale.

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Talanki, Nisha Priyanka. "Analyzing the Effect of Image Variability and Variable Lexical Representation on the Instruction of Biological Vocabulary." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/322075.

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Sikder, Abu Hena Mustafa Kamal. "Analyzing Spatial Variability of Social Preference for the Everglades Restoration in the Face of Climate Change." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2565.

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The South Florida Everglades is a unique ecosystem. Intensive water management in the system has facilitated agricultural, urban, and economic development. The Everglades offers a variety of ecosystem services (ES) to the people living in this region. Nevertheless, the ecosystem is under imminent threat of climate change, which would alter the way water is managed today and ultimately affect the ES offered by the system. On the other hand, substantial restoration is underway that aims to restore the Everglades closer to its historic condition. This research tried to map the public’s preference for Everglades restoration. Using a geocoded discrete-choice survey dataset, the study showed variation in the public’s preference by changing the levels of ES. Additionally, the general public’s attitude toward climate change risk to the Everglades and preference for mitigation were also assessed using the survey data.

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Naga, Pradeep. "Analyzing the Effect of Moving Resonance on Seismic Response of Structures using Wavelet Transforms." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/34646.

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Nonlinear structures, when subjected to multiple ground motion records that are scaled to consistent ground motion intensity show significant variation in their response. This effect of ground motion randomness on the variation of structural response is defined as Record-to-Record (RTR) Variability. Ground motion characteristics that contribute to this variability in response includes the variation of signal composition (frequency content) with time (spectral nonstationarity).The phenomenon of moving resonance which occurs when the frequency content of the ground motion shifts in a similar manner as the natural frequencies of the structural response, is likely a contributor to variability. This brings the need to further understand the sources of variability due to moving resonance. The present study was carried out to develop a method to analyze the time-frequency content of a ground motion to assess the occurrence of moving resonance and to quantify its potential in effecting the structural systems. Bilinear elastic and elastoplastic hysteretic behavior was considered. Detailed analysis is done to quantify the effect of moving resonance on structural systems due to 22 far field ground motion records. The wavelet coefficient plots gave very good detail of the characteristics of the ground motions that were not clear from the acceleration time histories and response spectra plots. Instances of moving resonance were found out to be significant. Amplification due to moving resonance was found to be quite large. One instance studied in detail (accelerogram of Northridge earthquake at Beverly Hills) had peak displacement amplified by 6 times compared to the amount of peak displacement expected if the system did not exhibit moving resonance. Based on the analyses results, the characteristics of the ground motion records that donâ t cause significant moving resonance effect on structural systems were observed. Similarly, the characteristics of the ground motions that do cause moving resonance effect on structural systems were examined.
Master of Science

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Tadepally, Harika. "Spatiotemporal Variation of Continuous PM2.5 In Cincinnati: Analyzing The Impacts of Local-Scale Emissions Versus Meteorological Variability." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504802386325803.

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Perez, Raphaël. "Analyzing and modelling the genetic variability of aerial architecture and light interception of oil palm (Elaeis guineensis Jacq)." Thesis, Montpellier, SupAgro, 2017. http://www.theses.fr/2017NSAM0001/document.

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Cette étude propose d’analyser l’influence de l’architecture du palmier à huile sur sa capacité à intercepter la lumière, en se basant sur des reconstructions 3D de palmiers et en établissant un bilan radiatif sur ses structures végétales reconstruites in silico. Le premier objectif de l’étude était de caractériser et modéliser la variabilité génétique de l’architecture du palmier à huile et de son interception lumineuse. Dans un deuxième objectif l’amélioration potentielle de l’interception de la lumière et de l’assimilation carbonée a été évaluée en modifiant les traits morphologiques et géométriques des feuilles et des idéotypes architecturaux de palmiers à huile ont été proposés.Des relations allométriques ont été utilisées pour modéliser les traits architecturaux en fonction de gradients ontogénétique et de topologie des feuilles dans la couronne. La méthode permet de reconstruire des palmiers à huile virtuels à différents âges au cours du développement. De plus, l’approche allométrique a été couplée à des modèles à effets mixtes pour intégrer au travers de paramètres la variabilité entre et au sein des cinq progénies. Le modèle permet ainsi de simuler les spécificités architecturales des cinq progenies en incluant les variabilités entre individus observés. Le modèle architectural, paramétré pour les différentes progénies, a ensuite été implémenté dans AMAPstudio pour générer des maquettes 3D de palmiers et ainsi estimer leur interception lumineuse, de l’individu à la parcelle entière.Les résultats de ces analyses ont révélé des différences significatives entre et au sein des progenies, dans la géométrie des feuilles (longueur du pétiole, densité de folioles sur le rachis, et courbure du rachis) et dans la morphologie des folioles (gradients de longueurs et largeurs le long du rachis). La comparaison virtuelle des différentes progénies ont aussi montré des efficacités distinctes de l’interception lumineuse.Des analyses de sensibilité ont ensuite été réalisées pour identifier les traits architecturaux influençant l’interception lumineuse et l’assimilation potentielle à différents âges de la plante. Les paramètres les plus sensibles au cours du développement furent ceux reliés à la surface totale foliaire (longueur des rachis, nombre de folioles, morphologie des folioles), mais les attributs géométriques plus fins de la feuille ont montré un effet croissant avec la fermeture de la canopée. Sur un couvert adulte, l’optimum en assimilation carbonée est atteint pour des indices de surfaces foliaires (LAI) entre 3,2 et 5,5 m2.m−2, avec des feuilles érigées, de courts pétioles et rachis et un nombre important de folioles sur le rachis. Quatre idéotypes architecturaux pour l’assimilation carbonée ont été proposés et présentent des combinaisons spécifiques de traits géométriques, limitant l’ombrage mutuel des plantes et optimisant la distribution de la lumière dans la couronne.En conclusion, le modèle 3D de palmiers à huile, dans sa conception et son application, a permis de détecter les traits architecturaux génétiquement déterminés et influençant l’interception lumineuse. Ainsi, le nombre limité de traits dégagés par l’analyse de sensibilité ainsi que les combinaisons de traits révélées au travers des idéotypes pourraient être pris en compte dans de futurs programmes de sélection. En perspective, des travaux dédiés à intégrer dans ce modèle d’autres processus physiologiques, tels que la régulation de la conductance stomatique et le partitionnement du carbone dans la plante, sont à envisager. Ce nouvel FSPM pourrait alors être utilisé pour tester différents scénarii, comme par exemple dans un contexte de changement climatique avec de faibles radiations et des périodes de sécheresse fréquentes. De même, ce modèle pourrait être utilisé pour étudier différentes configurations de plantation et des systèmes de cultures intercalaires, et ainsi proposer de nouveaux idéotypes multicritères
In this study we proposed to investigate the influence of oil palm architecture on the capacity of the plant to intercept light, by using 3D reconstructions and model-assisted evaluation of radiation-use efficiency. The first objective of this study was to analyse and model oil palm architecture and light interception taking into account genetic variability. A second objective was to explore the potential improvements in light capture and carbon assimilation by manipulating oil palm leaf traits and propose architectural ideotypes.Allometric relationships were applied to model these traits according to ontogenetic gradients and leaf position within the crown. The methodology allowed reconstructing virtual oil palms at different stages over plant development. Additionally, the allometric-based approach was coupled to mixed-effect models in order to integrate inter and intra progeny variability through progeny-specific parameters. The model thus allowed simulating the specificity of plant architecture for a given progeny while including observed inter-individual variability. The architectural model, parameterized for the different progenies, was then implemented in AMAPstudio to generate 3D mock-ups and estimate light interception efficiency, from individual to stand scales.Significant differences in leaf geometry (petiole length, density of leaflets and rachis curvature) and leaflets morphology (gradients of leaflets length and width) were detected between and within progenies, and were accurately simulated by the modelling approach. Besides, light interception estimated from the validated 3D mock-ups showed significant variations among the five progenies.Sensitivity analyses were then performed on a subset of architectural parameters to identify the architectural traits impacting on light interception efficiency and potential carbon assimilation over plant development. The most sensitive parameters over plant development were those related to leaf area (rachis length, number of leaflets, leaflets morphology), but fine attribute related to leaf geometry showed increasing influence when canopy got closed. In adult stand, optimized carbon assimilation was estimated on plants presenting a leaf area index (LAI) between 3.2 and 5.5 m2.m−2, with erected leaves, short rachis and petiole and high number of leaflet on rachis. Four architectural ideotypes for carbon assimilation were proposed based on specific combinations of organs geometry, limiting mutual shading and optimizing light distribution within plant crown.In conclusion, this study highlighted how a functional-structural plant model (FSPM) can be used to virtually explore plant biology. In our case of study, the 3D model of oil palm, in its conception and its application, permitted to detect the architectural traits genetically determined and influencing light interception. The limited number of traits revealed in the sensitivity analysis and the combination of traits proposed through ideotypes could guide further breeding programs. Forthcoming work will be dedicated to integrate in the modeling approach other physiological processes such as stomatal conductance and carbon partitioning. The improved FSPM could then be used to test different scenarios, for instance in climate change context with low radiations or frequent drought events. Similarly, the model could be used to investigate different planting patterns and intercropping systems, and proposed new multi-criteria ideotypes of oil palm

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Karlson, Martin. "Assessing GIS-based indicator methodology for analyzing the physical vulnerability of water and sanitation infrastructure." Thesis, Linköpings universitet, Tema vatten i natur och samhälle, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84670.

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Climate related problems such as droughts, heat waves, increased levels of precipitation and storms threaten the functionality of several infrastructural systems. This thesis focus on infrastructure that provides for water and sanitation services because it has been identified as being particular at risk when the climate is changing. The identification and mapping of the vulnerability of a system can improve the prerequisites to choose more appropriate measures to facilitate the situation at hand. In this study a set of GIS based methodologies using indicators (simple and composite) of vulnerability are proposed and assessed. “Physical” vulnerability is used as a measure combining the intrinsic characteristics of a system and the climate related hazard resulting in a measure for physical vulnerability. GIS software is used to manage the spatial data sets and to combine the indicators into indexes of physical vulnerability. The assessed systems and related climate hazards are: - Water and sewage pipe network and an increased risk of pipe breakage due to increased frequencies of landslides and – An increased risk for ground and surface water supplies related to pollution from the point sources sewage infiltration and polluted ground”. The resulting GIS applications are tested on pilot areas located in the Stockholm region and GIS based sensitivity analyses are performed. The availability and accessibility of relevant digital spatial data is also assessed and discussed.

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Книги з теми "Variability analyzing"

Analyzing long time series of hydrological data with respect to climate variability: Project description. Geneva: World Meteorological Organization, 1988.

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Allen, Jennifer D., Rachel C. Shelton, Karen M. Emmons, and Laura A. Linnan. Fidelity and Its Relationship to Implementation Effectiveness, Adaptation, and Dissemination. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190683214.003.0016.

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There is substantial variability in the implementation of evidence-based interventions across the United States, which leads to inconsistent access to evidence-based prevention and treatment strategies at a population level. Increased dissemination and implementation of evidence-based interventions could result in significant public health gains. While the availability of evidence-based interventions is increasing, study of implementation, adaptation, and dissemination has only recently gained attention in public health. To date, insufficient attention has been given to the issue of fidelity. Consideration of fidelity is necessary to balance the need for internal and external validity across the research continuum. There is also a need for a more robust literature to increase knowledge about factors that influence fidelity, strategies for maximizing fidelity, methods for measuring and analyzing fidelity, and examining sources of variability in implementation fidelity.

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Congendo, Marco, and Fernando H. Lopes da Silva. Event-Related Potentials. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0039.

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Event-related potentials (ERPs) can be elicited by a variety of stimuli and events in diverse conditions. This chapter covers the methodology of analyzing and quantifying ERPs in general. Basic models (additive, phase modulation and resetting, potential asymmetry) that account for the generation of ERPs are discussed. The principles and requirements of ensemble time averaging are presented, along with several univariate and multivariate methods that have been proposed to improve the averaging procedure: wavelet decomposition and denoising, spatial, temporal and spatio-temporal filtering. We emphasize basic concepts of principal component analysis, common spatial pattern, and blind source separation, including independent component analysis. We cover practical questions related to the averaging procedure: overlapping ERPs, correcting inter-sweep latency and amplitude variability, alternative averaging methods (e.g., median), and estimation of ERP onset. Some specific aspects of ERP analysis in the frequency domain are surveyed, along with topographic analysis, statistical testing, and classification methods.

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Amaral, Mateus Carvalho, Flávio Silva Machado, Luiz Antônio de Oliveira Chaves, Maria Helena Teixeira da Silva, and Vanessa End de Oliveira. https://aeditora.com.br/produto/engenharia-na-pratica-ensino-pesquisa-e-aplicacoes/. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-151-6.

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This book gathers 10 articles written conjointly by students and alumni in the Production Engineering program at Universidade Federal Fluminense (UFF) and also by professors from the UFF, Rio de Janeiro State University, Federal Institute of Rio de Janeiro, State University of Northern Rio de Janeiro, Estácio de Sá University and Cândido Mendes University. This publication is an iniciative of the Materials Engineering, Maintenance and Environment Laboratory (L3MA). By offering it to the public, the objective was to disseminate the scientific research we are conducting and to encourage our students and alumni to enter the world of research and its dissemination. In this book we bring together articles on different subjects in the field of engineering, in particular, Production Engineering. In the contemporary world, technology and science are present in almost all fields of life and the present set of articles portrays a part of this reality. The subjects covered in this book cover topics such as active teaching methodologies, experimental analysis of corrosion processes, assessing the integrity of pipelines, reducing material waste in an industrial environment, analyzing the impacts of a the chemical process industry, alternatives to the use of methanol in the biodiesel manufacturing process, variability in a coffee packaging process, mathematical model to assist the routing process of public transports, solid waste management and viability of incorporating ash residues from sugarcane bagasse into a soil-cement mixture.

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Szewczyk, Janusz. Rola zaburzeń w kształtowaniu struktury i dynamiki naturalnych lasów bukowo-jodłowo-świerkowych w Karpatach Zachodnich. Publishing House of the University of Agriculture in Krakow, 2018. http://dx.doi.org/10.15576/978-83-66602-35-9.

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The aim of the study was to determine the influence of different disturbances (both natural and anthropogenic) on species composition and stand structure of old-growth mixed mountain forests in the Western Carpathians. These stands are usually dominated by beech, fir and spruce, mixed in different proportions. The tree main species represent different growth strategies, and they compete against each other. The longevity of trees makes the factors influencing the stand structure difficult to identify, even during longitudinal studies conducted on permanent research plots. That is why dendroecological techniques, based upon the annual variability of tree rings, are commonly used to analyze the disturbance histories of old-growth stands. Dendroecological methods make it possible to reconstruct the stand history over several centuries in the past by analyzing the frequency, intensity, duration and spatial scale of disturbances causing the death of trees. Combining the dendroecological techniques with the detailed measurements of stand structure, snag volume, CWD volume, and the analyses of regeneration species composition and structure allows us to identify the factors responsible for the changes in dynamics of mixed mountain forests. Various disturbance agents affect some species selectively, while some disturbances promote the establishment of tree seedlings of specific species by modifying environmental conditions. Describing the disturbance regime requires a broad scope of data on stand structure, on dead wood and tree regeneration, while various factors affecting all the stages of tree growth should be taken into consideration. On the basis of the already published data from permanent sample plots, combined with the available disturbance history analyses from the Western Carpathians, three research hypotheses were formulated. 1. The species composition of mixed mountain forests has been changing for at least several decades. These directional changes are the consequence of simultaneous conifer species decline and expansion of beech. 2. The observed changes in species composition of mixed mountain forests are the effect of indirect anthropogenic influences, significantly changing tree growth conditions also in the forests that are usually considered natural or near-natural. Cumulative impact of these indirect influences leads to the decrease of fir share in the tree layer (spruce decline has also been observed recently),and it limits the representation of this species among seedlings and saplings. The final effect is the decrease of fir and spruce share in the forest stands. 3. Small disturbances, killing single trees or small groups of trees, and infrequent disturbances of medium size and intensity dominate the disturbance regime in mixed mountain forests. The present structure of beech-fir-spruce forests is shaped both by complex disturbance regime and indirect anthropogenic influences. The data were gathered in permanent sample plots in strictly protected areas of Babia Góra, Gorce, and Tatra National Parks, situated in the Western Carpathians. All plots were located in the old-growth forest stands representing Carpathian beech forest community. The results of the measurements of trees, snags, coarse woody debris (CWD) and tree regeneration were used for detailed description of changes in the species composition and structure of tree stands. Tree ring widths derived from increment cores were used to reconstruct the historical changes in tree growth trends of all main tree species, as well as the stand disturbance history within the past two to three hundred years. The analyses revealed complex disturbance history in all of the three forest stands. Intermediate disturbances of variable intensity occurred, frequently separated by the periods of low tree mortality lasting from several decades up to over one hundred years. The intervals between the disturbances were significantly shorter than the expected length of forest developmental cycle, in commonly used theories describing the dynamics of old-growth stands. During intermediate disturbances up to several dozen percent of canopy trees were killed. There were no signs of stand-replacing disturbances, killing all or nearly all of canopy trees. The periods of intense tree mortality were followed by subsequent periods of increased sapling recruitment. Variability in disturbance intensity is one of the mechanisms promoting the coexistence of beech and conifer species in mixed forests. The recruitment of conifer saplings depended on the presence of larger gaps, resulting from intermediate disturbances, while beech was more successful in the periods of low mortality. However, in the last few decades, beech seems to benefit from the period of intense fir mortality. This change results from the influence of long-term anthropogenic disturbances, affecting natural mechanisms that maintain the coexistence of different tree species and change natural disturbance regimes. Indirect anthropogenic influence on tree growth was clearly visible in the gradual decrease of fir increments in the twentieth century, resulting from the high level of air pollution in Europe. Synchronous decreases of fir tree rings’ widths were observed in all three of the sample plots, but the final outcomes depended on the fir age. In most cases, the damage to the foliage limited the competitive abilities of fir, but it did not cause a widespread increase in tree mortality, except for the oldest firs in the BGNP (Babia Góra National Park) plot. BGNP is located in the proximity of industrial agglomeration of Upper Silesia, and it could be exposed to higher level of air pollution than the other two plots. High level of fir regeneration browsing due to the deer overabundance and insufficient number of predators is the second clear indication of the indirect anthropogenic influence on mixed mountain forests. Game impact on fir regeneration is the most pronounced in Babia Góra forests, where fir was almost completely eliminated from the saplings. Deer browsing seems to be the main factor responsible for limiting the number of fir saplings and young fir trees, while the representation of fir among seedlings is high. The experiments conducted in fenced plots located in the mixed forests in BGNP proved that fir and sycamore were the most preferred by deer species among seedlings and saplings. In GNP (Gorce National Park) and TNP (Tatra National Park), the changes in species composition of tree regeneration are similar, but single firs or even small groups of firs are present among saplings. It seems that all of the analysed mixed beech-fir-spruce forests undergo directional changes, causing a systematic decrease in fir representation, and the expansion of beech. This tendency results from the indirect anthropogenic impact, past and present. Fir regeneration decline, alongside with the high level of spruce trees’ mortality in recent years, may lead to a significant decrease in conifers representation in the near future, and to the expansion of beech forests at the cost of mixed ones.

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Частини книг з теми "Variability analyzing"

Jones, Erick C. "Analyzing Variability." In Supply Chain Engineering and Logistics Handbook, 219–71. Boca Raton : CRC Press, an imprint of Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9781315159096-8.

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Kirchner, Kathrin, and Ralf Laue. "Variability Patterns for Analyzing Flexible Processes." In Business Process Management Workshops, 623–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74030-0_49.

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Svendsen, Andreas, Øystein Haugen, and Birger Møller-Pedersen. "Analyzing Variability: Capturing Semantic Ripple Effects." In Modelling Foundations and Applications, 253–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21470-7_18.

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Erker, Daniel Gerard, and and Madeline Reffel. "Describing and analyzing variability in Spanish /s/." In Sociolinguistic Approaches to Sibilant Variation in Spanish, 131–63. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series:: Routledge, 2021. http://dx.doi.org/10.4324/9781003153948-7.

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Pottschmidt, Katja, and Michael König. "Analyzing X-Ray Variability of Cygnus X-1." In Astronomical Time Series, 187–90. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8941-3_20.

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König, Michael, Rüdiger Staubert, and Jens Timmer. "Analyzing X-Ray Variability by State Space Models." In Astronomical Time Series, 265–68. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8941-3_39.

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König, Michael, and Jens Timmer. "Analyzing X-ray Variability by Linear State Space Models." In Statistical Challenges in Modern Astronomy II, 393–94. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1968-2_24.

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Belategi, Lorea, Goiuria Sagardui, and Leire Etxeberria. "MARTE Mechanisms to Model Variability When Analyzing Embedded Software Product Lines." In Software Product Lines: Going Beyond, 466–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15579-6_38.

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Reinhartz-Berger, Iris, Nili Itzik, and Yair Wand. "Analyzing Variability of Software Product Lines Using Semantic and Ontological Considerations." In Advanced Information Systems Engineering, 150–64. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07881-6_11.

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Duszynski, Slawomir. "Visualizing and Analyzing Software Variability with Bar Diagrams and Occurrence Matrices." In Software Product Lines: Going Beyond, 481–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15579-6_41.

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Тези доповідей конференцій з теми "Variability analyzing"

Schlie, Alexander, Kamil Rosiak, Oliver Urbaniak, Ina Schaefer, and Birgit Vogel-Heuser. "Analyzing variability in automation software with the variability analysis toolkit." In the 23rd International Systems and Software Product Line Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3307630.3342408.

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Vityazeva, T., S. Vityazev, and A. Mikheev. "Optimal design of heart rate variability analyzing filter." In 2015 4th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2015. http://dx.doi.org/10.1109/meco.2015.7181954.

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Carbonnel, Jessie, Marianne Huchard, and Clémentine Nebut. "Analyzing Variability in Product Families through Canonical Feature Diagrams." In The 29th International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2017. http://dx.doi.org/10.18293/seke2017-087.

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Seidl, Christoph, and Uwe Aßmann. "Towards modeling and analyzing variability in evolving software ecosystems." In the Seventh International Workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2430502.2430507.

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Rosiak, Kamil, Oliver Urbaniak, Alexander Schlie, Christoph Seidl, and Ina Schaefer. "Analyzing variability in 25 years of industrial legacy software." In the 23rd International Systems and Software Product Line Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3307630.3342410.

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Ellis, R. J., L. Citi, and R. Barbieri. "A point process approach for analyzing gait variability dynamics." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090475.

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Nguyen, Thi Bich Phuong, Yuan-Kang Wu, Manh-Hai Pham, and Ba Long Dong. "Analyzing Solar Resource Variability: A Case Study in Taiwan." In 2020 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2020. http://dx.doi.org/10.1109/is3c50286.2020.00114.

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Bah, Abdou Rachid, Christal Jean-Soverall, Patty Arunyavikul, Ryan Chen, Hamid Norouzi, and Reginald Blake. "Analyzing Lakes Surface Temperature Variability at the Global Scale." In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9555113.

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Chen, Yi-Feng, Jiann-Shing Shieh, Shou-Zen Fan, Wan-Ting Chiang, Maysam F. Abbod, and Quan Liu. "Analyzing heart rate variability using a photoplethysmographic signal measuring system." In 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). IEEE, 2016. http://dx.doi.org/10.1109/mesa.2016.7587195.

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Ye, Pengyao, Zhuqing Chen, and Ling Xu. "Analyzing Travel Time Variability on Transit Route Using GPS Data." In Fifth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479384.058.

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Звіти організацій з теми "Variability analyzing"

Price, Philip. Methods for Analyzing Electric Load Shape and its Variability. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/985909.

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Workman, Austin, and Jay Clausen. Meteorological property and temporal variable effect on spatial semivariance of infrared thermography of soil surfaces for detection of foreign objects. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41024.

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The environmental phenomenological properties responsible for the thermal variability evident in the use of thermal infrared (IR) sensor systems is not well understood. The research objective of this work is to understand the environmental and climatological properties contributing to the temporal and spatial thermal variance of soils. We recorded thermal images of surface temperature of soil as well as several meteorological properties such as weather condition and solar irradiance of loamy soil located at the Cold Regions Research and Engineering Lab (CRREL) facility. We assessed sensor performance by analyzing how recorded meteorological properties affected the spatial structure by observing statistical differences in spatial autocorrelation and dependence parameter estimates.

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Schaffer, Arthur A., and Jocelyn Rose. Understanding Cuticle Development in Tomato through the Study of Novel Germplasm with Malformed Cuticles. United States Department of Agriculture, June 2013. http://dx.doi.org/10.32747/2013.7593401.bard.

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Plant cuticle development and metabolism are still poorly understood, partly due to the chemical complexity of the cuticular layer. The overall research objective was to broaden and deepen our understanding of tomato fruit cuticle development by analyzing novel germplasm with cuticular malformations and by studying the transcriptome and proteome of the fruit epidermal tissues, as strategies to overcome the challenges posed by the recalcitrance of the biological system. During the project we succeeded in identifying two genes with major impact on cuticle development. One of these encoded the first cutin synthase to be identified in plants, a metabolic step that had been a black box in cutin synthesis. In addition genes controlling the triterpenoid components of the cuticle were identified and, most interestingly, genetic variability for this component was identified among the wild tomato species germplasm. Additional germplasm was developed based on interspecific crosses that will allow for the future characterization of modifier genes that interact with the microfissuring gene (CWP) to promote or inhibit fruit cracking. One of the major accomplishments of the joint project was the integrated transcriptomic and proteomic analysis of the fruit cuticle and underlying tissues which allows for the identification of the pericarp cell layers responsible for the extracellular, cuticle-localized protein component. The results of the project have expanded our understanding of tomato fruit cuticle development and its genetic control. In addition, germplasm developed will be useful in developing tomato varieties resistant to cracking, on the one hand, and varieties useful for the dehydration industry on the other.

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