Relevant bibliographies by topics / Management of multiple sources

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Management of multiple sources'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Management of multiple sources"

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Feng, Zhixuan, Ad Reniers, Brian Haus, et al. "MODELING MICROBIAL WATER QUALITY AT A BEACH IMPACTED BY MULTIPLE NON-POINT SOURCES." Coastal Engineering Proceedings 1, no. 33 (2012): 74. http://dx.doi.org/10.9753/icce.v33.management.74.

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Monitoring microbial water quality is essential for recreational beaches in order to protect human health. To evaluate the relative importance and impacts of various types of non-point microbial sources at a subtropical beach (Hobie Beach, Miami, USA), we utilized a coastal ocean circulation model (Delft3D) with a microbe transport-fate model. Those non-point sources include beach sediment, dog feces, bather shedding, and rainfall runoff. The hydrodynamic model results agreed well with tidal elevations recorded by a nearby NOAA tidal station and also field data collected by pressure sensors, acoustic Doppler current profiler (ADCP). We modeled enterococci levels from four different types of non-point sources on the beach and Staphylococcus aureus levels from only the bather shedding. Model results suggest that dog feces are spotty sources of enterococci and can result in transient spikes of enterococci levels for hours. Beach sands are pervasive sources of enterococci and may explain observed persistent elevations of enterococci levels at this site. Runoff may also significantly increase enterococci levels during rainfall events while bather shedding contribution of enterococci is almost negligible. Bather is the only Staphylococcus aureus source considered in the study and simulated levels are in the same order as prior field measurements.
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Cashion, Daniel B. "Multiple Alpha Sources and Active Management." CFA Digest 34, no. 3 (2004): 66–67. http://dx.doi.org/10.2469/dig.v34.n3.1527.

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Sorensen, Eric H., Edward Qian, Robert Schoen, and Ronald Hua. "Multiple Alpha Sources and Active Management." Journal of Portfolio Management 30, no. 2 (2004): 39–45. http://dx.doi.org/10.3905/jpm.2004.319928.

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Kim, Mucheol, and Seungmin Rho. "Dynamic knowledge management from multiple sources in crowdsourcing environments." New Review of Hypermedia and Multimedia 21, no. 3-4 (2015): 199–211. http://dx.doi.org/10.1080/13614568.2015.1036133.

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McKendree, Melissa G. S., Glynn T. Tonsor, and Lee L. Schulz. "Management of Multiple Sources of Risk in Livestock Production." Journal of Agricultural and Applied Economics 53, no. 1 (2021): 75–93. http://dx.doi.org/10.1017/aae.2020.31.

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AbstractFirm operators continually manage multiple sources of risk. In an application to cattle feedlot operations, our objective is to determine if producers view output price and animal health risks separately or jointly. We conduct a survey with a choice experiment placing operators in forward looking, decision-making scenarios, and capture information on past risk management approaches. Evidence regarding a relationship between animal health and output price risk mitigation is mixed and depends on the decision being made. Combined, these results provide new insight into how managers approach multiple risks when facing resource constraints.
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Zhou, Qi, Jing Zhang, Yong Niu, and Jianjian Wang. "Environmental Risk Assessment and Regulatory Rating of Water Sources along the Yangtze River’s Nanjing Section under the Influence of Multiple Risk Sources." Sustainability 13, no. 3 (2021): 1484. http://dx.doi.org/10.3390/su13031484.

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To complement the current studies of risk assessment on water sources which seldom consider the distribution effects of multiple risk sources concentration, and improve the efficiency of water source supervision, this study establishes a method system for risk assessment of water sources and regulatory rating evaluation under the distribution effects of multiple risk sources concentration. The method system includes: (1) utilizing the single-risk source impact index to characterize the risk impact degree of the single-risk source on the water source, the index calculation method of single-risk source impact considers the risk degree and the distribution location of risk source; (2) using the multiple risk sources impact index to characterize the risk impact degree of the multiple risk sources on the water source, the index calculation method of multiple risk sources considers the impact index of single-risk source, the number of risk sources, and the distribution concentration of multiple risk sources; (3) the environmental risk assessment and regulatory rating evaluation method consider multiple risk sources impact index, anti-risk ability of water source, and the importance of water source. This method system has been applied to the environmental risk assessment and regulatory rating of eight water sources along the Nanjing Yangtze River, with excellent achievements. As the results reveal, eight water sources suffer 437 risk impacts from 175 risk sources, 69.04% of which are low-risk impacts and 13 are high-risk impacts. Longtan water source suffers the most risk impacts of 86, among which eight are high-risk impacts. The impacts of multiply-risk sources on the eight water sources are high-risk impacts. The impact index of multiple risk sources increases from the upstream water sources to the downstream water sources, reaching the maximum value of 5.267 at the most downstream Longtan water source. Though the environmental risk and supervision rating of Longtan water source is high, those of other water sources are rated as medium.
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Baumann, Nadine, and Martin Skutella. "Earliest Arrival Flows with Multiple Sources." Mathematics of Operations Research 34, no. 2 (2009): 499–512. http://dx.doi.org/10.1287/moor.1090.0382.

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McClellan Maaz, Tai, and Cliff Snyder. "The Identification of Management Strategies that Target Multiple Nitrogen Loss Pathways." Better Crops with Plant Food 102, no. 4 (2018): 16–19. http://dx.doi.org/10.24047/bc102416.

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Stabilized N sources are N fertilizers treated with urease inhibitors, nitrification inhibitors, or a combination of both. They can comprise “right source” in many situations in which 4R Nutrient Stewardship is implemented. Several meta-analyses demonstrate that nitrification inhibitors with and without urease inhibitors consistently reduce N2O emissions. Nitrification inhibitors are effective at decreasing NO3- leaching but can increase ammonia volatilization, while urease inhibitors are effective at preventing volatilization losses.
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Gaudet, Gérard, and Stephen W. Salant. "Modeling Nonrenewable Resources Use with Multiple Demands and Multiple Sources." Environmental and Resource Economics 70, no. 4 (2016): 737–55. http://dx.doi.org/10.1007/s10640-016-0003-9.

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Murphey, Yi L., ZhiHang Chen, Leonidas Kiliaris, and M. Abul Masrur. "Intelligent power management in a vehicular system with multiple power sources." Journal of Power Sources 196, no. 2 (2011): 835–46. http://dx.doi.org/10.1016/j.jpowsour.2010.07.052.

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Dissertations / Theses on the topic "Management of multiple sources"

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Roberson, Daniel Richard. "Application of multiple information sources to prediction of engine time on-wing." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99041.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015. In conjunction with the Leaders for Global Operations Program at MIT.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 85-88).<br>The maintenance and operation of commercial turbofan engines relies upon an understanding of the factors which contribute to engine degradation from the operational mission, environment and maintenance procedures. A multiple information source system is developed using the Pratt & Whitney engine to combine predictive engineering simulations with socio-technical effects and environmental factors for an improved predictive system for engine time on-wing. The system establishes an airport severity factor for all operating airports based upon mission parameters and environmental parameters. The final system involves three hierarchical layers: a 1-D engineering simulation; a parametric survival study; and a logistic regression study. Each of these layers is combined so that the output of the prior becomes the input of the next model. The combined system demonstrates an improvement in current practices at a fleet level from an R2 of 0.526 to 0.7966 and provides an indication of the relationship suspended particulate matter and engine degradation. The potential effects on the airline industry from city based severity in maintenance contracts are explored. Application of multiple information sources requires both knowledge of the system, and access to the data. The organizational structure of a data analytics organization is described; an architecture for integration of this team within an existing corporate environment is proposed.<br>by Daniel Richard Roberson.<br>M.B.A.<br>S.M.
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Kok, Theodorus Antonius Hendrik. "Development of a strategy for the management and control of multiple energy sources within series hybrid electric vehicles." Thesis, University of Sunderland, 2015. http://sure.sunderland.ac.uk/6580/.

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The battery in an EV is designed according to a power to energy ratio and is a trade-off in the design of the pack. It also suffers from effects such as rate capacity effect, ripple effects and inefficiency under charging. These effects result in losses through which the capacity and life span of the batteries are compromised affecting range and drivability. In this thesis a novel development path resulting in a novel Power and Energy Management Strategy (PEMS) is presented. The effects of (dis)charging a battery are researched and converted to an energy optimisation formula and result in reduced power demand for the converter which reduces weight. The resulting Power Management Strategy (PMS) aims to recover energy more efficiently into UC while responding fast to a change in demand. The effects of converters on the battery current ripple are researched and discussed, resulting in an optimal topology layout, improved battery life and reduced losses. Through the use of Markov Chain analysis and a newly derived Bias function a predictive Energy Management Strategy (EMS) is developed which is practical to use in EVs. This resulted in a PEMS which because of the fast PMS results in a fast response time. The use of Markov Chain results in predictive EMS and improves the efficiency of the energy sources and allows the design to be reduced in size. Through the design methodology used the parallel topology (the battery converter parallel to the UC Module) was rated preferred choice over battery only and battery with UC Module. The rating was based on capacity, ripple control, weight, 10 year cost, potential for motor controller efficiency improvement, range and efficiency. v The combination of method and PEMS resulted in an improved life expectancy of the pack to over 10 year (up from 7) while increasing range and without sacrificing drivability.
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Zhang, Ping. "Learning from Multiple Knowledge Sources." Diss., Temple University Libraries, 2013. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/214795.

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Computer and Information Science<br>Ph.D.<br>In supervised learning, it is usually assumed that true labels are readily available from a single annotator or source. However, recent advances in corroborative technology have given rise to situations where the true label of the target is unknown. In such problems, multiple sources or annotators are often available that provide noisy labels of the targets. In these multi-annotator problems, building a classifier in the traditional single-annotator manner, without regard for the annotator properties may not be effective in general. In recent years, how to make the best use of the labeling information provided by multiple annotators to approximate the hidden true concept has drawn the attention of researchers in machine learning and data mining. In our previous work, a probabilistic method (i.e., MAP-ML algorithm) of iteratively evaluating the different annotators and giving an estimate of the hidden true labels is developed. However, the method assumes the error rate of each annotator is consistent across all the input data. This is an impractical assumption in many cases since annotator knowledge can fluctuate considerably depending on the groups of input instances. In this dissertation, one of our proposed methods, GMM-MAPML algorithm, follows MAP-ML but relaxes the data-independent assumption, i.e., we assume an annotator may not be consistently accurate across the entire feature space. GMM-MAPML uses a Gaussian mixture model (GMM) and Bayesian information criterion (BIC) to find the fittest model to approximate the distribution of the instances. Then the maximum a posterior (MAP) estimation of the hidden true labels and the maximum-likelihood (ML) estimation of quality of multiple annotators at each Gaussian component are provided alternately. Recent studies show that it is not the case that employing more annotators regardless of their expertise will result in improved highest aggregating performance. In this dissertation, we also propose a novel algorithm to integrate multiple annotators by Aggregating Experts and Filtering Novices, which we call AEFN. AEFN iteratively evaluates annotators, filters the low-quality annotators, and re-estimates the labels based only on information obtained from the good annotators. The noisy annotations we integrate are from any combination of human and previously existing machine-based classifiers, and thus AEFN can be applied to many real-world problems. Emotional speech classification, CASP9 protein disorder prediction, and biomedical text annotation experiments show a significant performance improvement of the proposed methods (i.e., GMM-MAPML and AEFN) as compared to the majority voting baseline and the previous data-independent MAP-ML method. Recent experiments include predicting novel drug indications (i.e., drug repositioning) for both approved drugs and new molecules by integrating multiple chemical, biological or phenotypic data sources.<br>Temple University--Theses
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Stevenson, Robert Mark. "Multiple knowledge sources for word sense disambiguation." Thesis, University of Sheffield, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310763.

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Dench, M. "Structural vibration control using multiple synchronous sources." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/349006/.

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The advantages of isolating vibrating machinery from its supporting structure are that the chances of vibration induced fatigue failure of structural components are reduced, the structure becomes more inhabitable for people due to less vibration exposure and the sound radiated by the structure into the environment is reduced. This last point is especially important for machinery operating in a marine environment because low frequency sound propagates very well underwater, and the machinery induced sound radiated from a ship or submarine is a primary detection and classification mechanism for passive sonar systems. This thesis investigates the control of vibration from an elastic support structure upon which multiple vibrating systems are passively mounted. The excitations are assumed to occur at discrete frequencies with a finite number of harmonic components and the machines are all assumed to be supplied with power from the same electrical supply. Active vibration control may be achieved by adjusting the phase of the voltage supplied to one or more of the machines, so that a minimum value of a measurable cost function is obtained. Adjusting the phase of a machine with respect to a reference machine is known as synchrophasing and is a well established technique for controlling the sound in aircraft cabins and in ducts containing axial fans. However, the use of the technique for reducing the vibration of machinery mounted on elastic structures seems to have received very little attention in the literature and would appear to be a gap in the current knowledge. This thesis aims to address that gap by investigating theoretically and experimentally how synchrophasing can be implemented as an active structural vibration control technique.
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MEDEIROS, Ícaro Rafael da Silva. "Tag suggestion using multiple sources of knowledge." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/2275.

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Made available in DSpace on 2014-06-12T15:56:06Z (GMT). No. of bitstreams: 2 arquivo2739_1.pdf: 2586871 bytes, checksum: 3a0e10a22b131714039f0e8ffe875d80 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2010<br>Nos sistemas de tagging social usuários atribuem tags (palavras-chave) a recursos (páginas Web, fotos, publicações, etc), criando uma estrutura conhecida como folksonomia, que possibilita uma melhora na navegação, organização e recuperação de informação. Atualmente, esses sistemas são muito populares na Web, portanto, melhorar sua qualidade e automatizar o processo de atribuição de tags é uma tarefa importante. Neste trabalho é proposto um sistema que automaticamente atribui tags a páginas, baseando-se em múltiplas fontes de conhecimento como o conteúdo textual, estrutura de hiperlinks e bases de conhecimento. A partir dessas fontes, vários atributos são extraídos para construir um classificador que decide que termos devem ser sugeridos como tag. Experimentos usando um dataset com tags e páginas extraídas do Delicious, um importante sistema de tagging social, mostram que nossos métodos obtém bons resultados de precisão e cobertura, quando comparado com tags sugeridas por usuários. Além disso, uma comparação com trabalhos relacionados mostra que nosso sistema tem uma qualidade de sugestão comparável a abordagens estado da arte na área. Finalmente, uma avaliação com usuários foi feita para simular um ambiente real, o que também produziu bons resultados
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Rice, Michael, and Erik Perrins. "Maximum Likelihood Detection from Multiple Bit Sources." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596443.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV<br>This paper deals with the problem of producing the best bit stream from a number of input bit streams with varying degrees of reliability. The best source selector and smart source selector are recast as detectors, and the maximum likelihood bit detector (MLBD) is derived from basic principles under the assumption that each bit value is accompanied by a quality measure proportional to its probability of error. We show that both the majority voter and the best source selector are special cases of the MLBD and define the conditions under which these special cases occur. We give a mathematical proof that the MLBD is the same as or better than the best source selector.
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Kabzinska, Ewa Joanna. "Empirical likelihood approach for estimation from multiple sources." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/422166/.

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Empirical likelihood is a non-parametric, likelihood-based inference approach. In the design-based empirical likelihood approach introduced by Berger and De La Riva Torres (2016), the parameter of interest is expressed as a solution to an estimating equation. The maximum empirical likelihood point estimator is obtained by maximising the empirical likelihood function under a system of constraints. A single vector of weights, which can be used to estimate various parameters, is created. Design-based empirical likelihood confidence intervals are based on the χ<sup>2</sup> approximation of the empirical likelihood ratio function. The confidence intervals are range-preserving and asymmetric, with the shape driven by the distribution of the data. In this thesis we focus on the extension and application of design-based empirical likelihood methods to various problems occurring in survey inference. First, a design-based empirical likelihood methodology for parameter estimation in two surveys context, in presence of alignment and benchmark constraints, is developed. Second, a design-based empirical likelihood multiplicity adjusted estimator for multiple frame surveys is proposed. Third, design-based empirical likelihood is applied to a practical problem of census coverage estimation. The main contribution of this thesis is defining the empirical likelihood methodology for the studied problems and showing that the aligned and multiplicity adjusted empirical likelihood estimators are √n-design-consistent. We also discuss how the original proofs presented by Berger and De La Riva Torres (2016) can be adjusted to show that the empirical likelihood ratio statistic is pivotal and follows a χ<sup>2</sup> distribution under alignment constraints and when the multiplicity adjustments are used. We evaluate the asymptotic performance of the empirical likelihood estimators in a series of simulations on real and artificial data. We also discuss the computational aspects of the calculations necessary to obtain empirical likelihood point estimates and confidence intervals and propose a practical way to obtain empirical likelihood confidence intervals in situations when they might be difficult to obtain using standard approaches.
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Brizzi, Francesco. "Estimating HIV incidence from multiple sources of data." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/273803.

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This thesis develops novel statistical methodology for estimating the incidence and the prevalence of Human Immunodeficiency Virus (HIV) using routinely collected surveillance data. The robust estimation of HIV incidence and prevalence is crucial to correctly evaluate the effectiveness of targeted public health interventions and to accurately predict the HIV- related burden imposed on healthcare services. Bayesian CD4-based multi-state back-calculation methods are a key tool for monitoring the HIV epidemic, providing estimates of HIV incidence and diagnosis rates by disentangling their competing contribution to the observed surveillance data. Improving the effectiveness of public health interventions, requires targeting specific age-groups at high risk of infection; however, existing methods are limited in that they do not allow for such subgroups to be identified. Therefore the methodological focus of this thesis lies in developing a rigorous statistical framework for age-dependent back-calculation in order to achieve the joint estimation of age-and-time dependent HIV incidence and diagnosis rates. Key challenges we specifically addressed include ensuring the computational feasibility of proposed methods, an issue that has previously hindered extensions of back-calculation, and achieving the joint modelling of time-and-age specific incidence. The suitability of non-parametric bivariate smoothing methods for modelling the age-and-time specific incidence has been investigated in detail within comprehensive simulation studies. Furthermore, in order to enhance the generalisability of the proposed model, we developed back-calculation that can admit surveillance data less rich in detail; these handle surveillance data collected from an intermediate point of the epidemic, or only available on a coarse scale, and concern both age-dependent and age-independent back-calculation. The applicability of the proposed methods is illustrated using routinely collected surveillance data from England and Wales, for the HIV epidemic among men who have sex with men (MSM).
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Farooq, Umar. "Product Reputation Evaluation based on Multiple Web Sources." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE2013.

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Internet est une immense source de données non structurées dont l'extraction et l'analyse devient un enjeu majeur. Ces informations peuvent être plus qu'utiles à des consommateurs et des fabricants dans leur processus de prise de décision quant à un produit. Dans ce contexte, l'exploitation de telles information se révèle être une tâche très difficile. De nombreuses méthodes d'évaluation de produits existent à l'heure actuelle, utilisant principalement les notes et les commentaires disponibles sur Internet. Cependant, ces méthodes rencontrent vite des limites et ne sont donc pas en mesure de répondre aux besoins et aux exigences des clients ou des fabricants. Par exemple, les méthodes existantes d'analyse de sentiments, qui classent les opinions des clients sur un produit à l’aide de leur polarité, ne sont pas en mesure de déterminer le contexte du mot dans une phrase avec précision, ce qui biaise fortement leurs résultats. De plus, les méthodes de traitement des négations utilisées, qui déterminent les sentiments exprimées par les clients dans leur commentaires, ne sont pas en mesure de traiter tous les types de négation, ne considèrent pas non plus toutes les exceptions où les négations se comportent différemment. De même, les modèles existants d'estimation de réputation de produits sont basés sur une source unique, et donc peu robuste aux fausses évaluations ou aux évaluations biaisées, ne sont pas en mesure de refléter les opinions récentes. Ils ne permettent pas aux utilisateurs d'évaluer le produit au regard de critères spécifiques, et ainsi ne fournissent pas une estimation précise. D'autre part, les systèmes de réputation évaluant des produits fonctionnent de manière centralisée, entraînant des problèmes de robustesse et des facilités de manipulation, voire de falsification, d'informations, ces approches ne convenant pas à résoudre un problème aussi complexe. Cette thèse propose des modèles et des méthodes d'évaluation de la réputation dédiées aux produits, fonctionnant à partir des données disponibles sur Internet, et visant à fournir des informations précises aux consommateurs et aux fabricants, les appuyant dans leur prise de décision. Ces méthodes concernent i) l'extraction des données d'évaluation des produits à partir de plusieurs sources; ii) une analyse sémantique des évaluations des clients pour déterminer si les opinions exprimées sur chacune des caractéristiques d'un produit sont positives ou négatives; iii) le calcul des différentes valeurs de réputation d'un produit, tout en considérant différents critères d'évaluation, et iv) enfin, le retour des résultats aux consommateurs ou aux fabricants afin de les aider dans leur prise de décisions. Cette thèse contribue à trois principaux domaines de recherche à savoir i) l'analyse des sentiments exprimées quant aux caractéristiques d'un produit, comprenant une méthode de désambiguïsation du sens des mots ainsi qu'une prise en compte plus fine des négations pour améliorer la performance de l'analyse de sentiments selon différents niveaux; ii) les modèles d'évaluation de la réputation d'un produit, basé sur un modèlemathématique calculant plusieurs valeurs de réputation pour une évaluation d'un produit selon différents critères et enfin iii) une architecture multi-agents robuste, facilitant le déploiement et la parallélisation des tâches. Sur Internet, la plupart des opinions sur des produits sont de nature textuelle, comme par exemple les avis des consommateurs. Afin d'analyser de tels commentaires, une méthode d'analyse de sentiments exprimés ciblant spécifiquement les caractéristiques d'un produit a été développée. Une méthode de désambiguïsation identifiant le sens des mots selon leur contexte tout en déterminant leur polarité a enrichi le processus, qui fût complété par une méthode d'analyse fine des négations, déterminant les séquences de mots affectées par chaque type de négation<br>The extraction of unstructured data from the Web and to analyzing them in order to determine useful information which can be used by customers and manufacturers to make decisions about product is a challengeable task. There are some existing techniques to evaluate products based on the ratings and product reviews posted on the Web. However, all these techniques have some inherent issues and limitations and therefore not able to fulfill the needs and requirements of both customer and manufacturer. For instance, the existing sentiment analysis methods (which classify the opinions in customer reviewsabout a product as positive or negative) are not able to determine the context of word in a sentence accurately. In addition, negation handling methods adopted while determining the sentiment are not able to deal with all types of negations and they also do not consider all exceptions where negations behave differently. Similarly, the existing product reputation models are based on single source, not robust to false and biased ratings, not able to reflect the recent opinions, do not allow users to evaluate product on different criteria, and also do not provide a good estimation accuracy. On the other hand, the existingproduct reputation systems are centralized which has issues such as single point of failure, easy to falsify evaluation information and not suitable approach to solve a complex problem. This thesis proposes methods and techniques for evaluating product reputation based on data available on the Web and to provide valuable information to customers and manufacturers for decision making. These methods perform the following tasks: 1) extract product evaluation data from multiple Web sources 2) analyze product reviews in order to determine that whether opinions about product features in customer reviews are positive or negative, 3) computes different product reputation values while considering different evaluation criteria, and 4) finally the results are provided to customers and manufacturers in order to make decisions. This thesis contributes in three main research areas i.e. 1) feature level sentiment analysis, 2) product reputation model and 3) multiagent architecture. First, a word sense disambiguation and negation handling methods are proposed in order to improve the performance of feature level sentiment analysis. Second, a novel mathematical model is proposed which computes several reputation values in order to evaluate product based on different criteria. Finally, multiagent architecture for review analysis and product evaluation is proposed. Huge amount of the product evaluation data on the Web is in textual form (i.e. product reviews). In order to analyze product reviews to evaluate product we propose a feature level sentiment analysis method which determines the opinions about different features of a product. A word sense disambiguation method is introduced which identify the sense of words according to the context while determining the polarity. Inaddition, a negation handling method is proposed which determine the sequence of words affected by different types of negations. The results show that both word sense disambiguation and negation handling methods improve the overall accuracy of feature level sentiment analysis. A multi-source product reputation model is proposed where informative, robust and strategy proof aggregation methods are introduced to compute different reputation values. Sources from which reviews are extracted may not be creditable hence a source credibility measuring method is proposed in order to avoid malicious web sources. In addition, suitable decay principles for product reputation are also introduced in order to reflect the newest opinions about product quickly. The model also considers several parameters such as reviewer expertise, rating trustworthiness, time span of ratings, reviewer age, sex and location in order to evaluate product in different ways
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Books on the topic "Management of multiple sources"

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Lioy, Paul J. A guide to the use of factor analysis and multiple regression (FA/MR) techniques in source apportionment. U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1985.

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Schapiro, Randall T. Symptom management in multiple sclerosis. 3rd ed. Demos, 1998.

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Schapiro, Randall T. Symptom management in multiple sclerosis. Demos Publications, 1987.

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Managing Multiple Projects. McGraw-Hill, 2002.

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Irene, Tobis, ed. Managing multiple projects. McGraw-Hill, 2002.

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Computerized management of multiple small projects. M. Dekker, 1992.

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Gillespie, Stephen H., ed. Management of Multiple Drug-Resistant Infections. Humana Press, 2004. http://dx.doi.org/10.1007/978-1-59259-738-3.

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Berenson, James R., ed. Biology and Management of Multiple Myeloma. Humana Press, 2004. http://dx.doi.org/10.1007/978-1-59259-817-5.

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Gupta, Rajesh. Multiple Choice Questions in Pain Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56917-8.

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Office, General Accounting. Air pollution: Emission sources regulated by multiple Clean Air Act provisions : report to the Chairman, Subcommittee on Clean Air, Wetlands, Private Property, and Nuclear Safety, Commmittee on Environment and Public Works, U.S. Senate. U.S. General Accounting Office, 2000.

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Book chapters on the topic "Management of multiple sources"

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Dong, Xin Luna, Laure Berti-Equille, and Divesh Srivastava. "Data Fusion: Resolving Conflicts from Multiple Sources." In Web-Age Information Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38562-9_7.

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Jia, Li, Hongzhi Wang, Jianzhong Li, and Hong Gao. "Incremental Truth Discovery for Information from Multiple Data Sources." In Web-Age Information Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39527-7_8.

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Liang, Weifa, Chris Johnson, and Jeffrey X. Yu. "Maintaining Materialized Views for Data Warehouses with Multiple Remote Sources." In Web-Age Information Management. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45151-x_29.

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Tibiletti, Luisa. "Proper Risk Aversion in Presence of Multiple Sources of Risk." In Contributions to Management Science. Physica-Verlag HD, 1996. http://dx.doi.org/10.1007/978-3-642-51730-3_17.

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Huang, Hanyan, Yuntao Chen, Mingshan Shao, and Hua Zhang. "Integrative Optimal Design of Experiments with Multiple Sources." In Emerging Technologies for Information Systems, Computing, and Management. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7010-6_36.

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Pintér, János D. "Multiple Source River Pollution Management." In Nonconvex Optimization and Its Applications. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2502-5_26.

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Morik, Katharina, Christian Hüppej, and Klaus Unterstein. "End-User Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management." In Practical Aspects of Knowledge Management. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36277-0_22.

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Naamane, Aziz, and Nacer Msirdi. "Improving Multiple Source Power Management Using State Flow Approach." In Sustainability in Energy and Buildings. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36645-1_69.

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Arif-Uz-Zaman, Kazi, Michael E. Cholette, Fengfeng Li, Lin Ma, and Azharul Karim. "A Data Fusion Approach of Multiple Maintenance Data Sources for Real-World Reliability Modelling." In Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27064-7_7.

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Zayrit, Karima, Eric Desjardin, and Herman Akdag. "Management of Multiple and Imperfect Sources in the Context of a Territorial Community Environmental System." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39637-3_17.

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Conference papers on the topic "Management of multiple sources"

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Nguyen, Hung T., Preetam Ghosh, Michael L. Mayo, and Thang N. Dinh. "Multiple Infection Sources Identification with Provable Guarantees." In CIKM'16: ACM Conference on Information and Knowledge Management. ACM, 2016. http://dx.doi.org/10.1145/2983323.2983817.

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Pappas, Nikolaos, Johan Gunnarsson, Ludvig Kratz, Marios Kountouris, and Vangelis Angelakis. "Age of information of multiple sources with queue management." In 2015 IEEE International Conference on Signal Processing for Communications (ICC). IEEE, 2015. http://dx.doi.org/10.1109/icc.2015.7249268.

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Zheng, Jing, Fuzhen Zhuang, and Chuan Shi. "Local Ensemble across Multiple Sources for Collaborative Filtering." In CIKM '17: ACM Conference on Information and Knowledge Management. ACM, 2017. http://dx.doi.org/10.1145/3132847.3133099.

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Kiziltas, Semiha, Anu Pradhan, and Burcu Akinci. "Fusing Data from Multiple Sources to Support Project Management Tasks." In International Workshop on Computing in Civil Engineering 2007. American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40937(261)50.

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Manguinhas, Hugo, Bruno Martins, and Jose Borbinha. "A geo-temporal Web gazetteer integrating data from multiple sources." In 2008 Third International Conference on Digital Information Management (ICDIM). IEEE, 2008. http://dx.doi.org/10.1109/icdim.2008.4746788.

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Tounsi, Patrick, Jean-Baptiste Sauveplane, Jerzy Piotr Nowakowski, Francesc Madrid, and Jean-Marie Dorkel. "Adaptive multiple cooling surfaces Compact Thermal Model (CTM), and boundary condition independent multiple heat sources CTM." In 2009 25th Annual IEEE Semiconductor Thermal Measurement and Management Symposium. IEEE, 2009. http://dx.doi.org/10.1109/stherm.2009.4810769.

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Kim, Sang-Chul, and KeeHyun Shin. "A Performance Analysis of MANET Multicast Routing Algorithms with Multiple Sources." In 5th ACIS International Conference on Software Engineering Research, Management & Applications (SERA 2007). IEEE, 2007. http://dx.doi.org/10.1109/sera.2007.24.

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Zhang, Junqi, Yiqun Liu, Shaoping Ma, and Qi Tian. "Relevance Estimation with Multiple Information Sources on Search Engine Result Pages." In CIKM '18: The 27th ACM International Conference on Information and Knowledge Management. ACM, 2018. http://dx.doi.org/10.1145/3269206.3271673.

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Tsai, Chi-Sheng, and Ching-Hua Ting. "Development of a Power Management System for Electric Vehicles with Multiple Power Sources." In 2010 International Conference on Optoelectronics and Image Processing (ICOIP). IEEE, 2010. http://dx.doi.org/10.1109/icoip.2010.324.

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Hussain, Omar Khadeer, Elizabeth Chang, Vish Ramakonar, and Tharam S. Dillon. "A Customer Relationship Management ecosystem that utilizes multiple sources and types of information conjointly." In 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST) - Complex Environment Engineering. IEEE, 2012. http://dx.doi.org/10.1109/dest.2012.6227911.

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Reports on the topic "Management of multiple sources"

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Nehrir, M. Hashem. Making the Grid "Smart" Through "Smart" Microgrids: Real-Time Power Management of Microgrids with Multiple Distributed Generation Sources Using Intelligent Control. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1345519.

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Penning de Vries, F., and S. Ruaysoongnern. Multiple sources of water for multiple purposes in north east Thailand. International Water Management Institute (IWMI), 2010. http://dx.doi.org/10.5337/2010.208.

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Schwartz, Richard, and John Makhoul. Combining Multiple Knowledge Sources for Speech Recognition. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada198928.

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Carney, Nancy, Tamara Cheney, Annette M. Totten, et al. Prehospital Airway Management: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer243.

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Objective. To assess the comparative benefits and harms across three airway management approaches (bag valve mask [BVM], supraglottic airway [SGA], and endotracheal intubation [ETI]) by emergency medical services in the prehospital setting, and how the benefits and harms differ based on patient characteristics, techniques, and devices. Data sources. We searched electronic citation databases (Ovid® MEDLINE®, CINAHL®, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Scopus®) from 1990 to September 2020 and reference lists, and posted a Federal Register notice request for data. Review methods. Review methods followed Agency for Healthcare Research and Quality Evidence-based Practice Center Program methods guidance. Using pre-established criteria, studies were selected and dual reviewed, data were abstracted, and studies were evaluated for risk of bias. Meta-analyses using profile-likelihood random effects models were conducted when data were available from studies reporting on similar outcomes, with analyses stratified by study design, emergency type, and age. We qualitatively synthesized results when meta-analysis was not indicated. Strength of evidence (SOE) was assessed for primary outcomes (survival, neurological function, return of spontaneous circulation [ROSC], and successful advanced airway insertion [for SGA and ETI only]). Results. We included 99 studies (22 randomized controlled trials and 77 observational studies) involving 630,397 patients. Overall, we found few differences in primary outcomes when airway management approaches were compared. • For survival, there was moderate SOE for findings of no difference for BVM versus ETI in adult and mixed-age cardiac arrest patients. There was low SOE for no difference in these patients for BVM versus SGA and SGA versus ETI. There was low SOE for all three comparisons in pediatric cardiac arrest patients, and low SOE in adult trauma patients when BVM was compared with ETI. • For neurological function, there was moderate SOE for no difference for BVM compared with ETI in adults with cardiac arrest. There was low SOE for no difference in pediatric cardiac arrest for BVM versus ETI and SGA versus ETI. In adults with cardiac arrest, neurological function was better for BVM and ETI compared with SGA (both low SOE). • ROSC was applicable only in cardiac arrest. For adults, there was low SOE that ROSC was more frequent with SGA compared with ETI, and no difference for BVM versus SGA or BVM versus ETI. In pediatric patients there was low SOE of no difference for BVM versus ETI and SGA versus ETI. • For successful advanced airway insertion, low SOE supported better first-pass success with SGA in adult and pediatric cardiac arrest patients and adult patients in studies that mixed emergency types. Low SOE also supported no difference for first-pass success in adult medical patients. For overall success, there was moderate SOE of no difference for adults with cardiac arrest, medical, and mixed emergency types. • While harms were not always measured or reported, moderate SOE supported all available findings. There were no differences in harms for BVM versus SGA or ETI. When SGA was compared with ETI, there were no differences for aspiration, oral/airway trauma, and regurgitation; SGA was better for multiple insertion attempts; and ETI was better for inadequate ventilation. Conclusions. The most common findings, across emergency types and age groups, were of no differences in primary outcomes when prehospital airway management approaches were compared. As most of the included studies were observational, these findings may reflect study design and methodological limitations. Due to the dynamic nature of the prehospital environment, the results are susceptible to indication and survival biases as well as confounding; however, the current evidence does not favor more invasive airway approaches. No conclusion was supported by high SOE for any comparison and patient group. This supports the need for high-quality randomized controlled trials designed to account for the variability and dynamic nature of prehospital airway management to advance and inform clinical practice as well as emergency medical services education and policy, and to improve patient-centered outcomes.
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Shelton, Christian R. Balancing Multiple Sources of Reward in Reinforcement Learning. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada454702.

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Coupey, Eloise, Mark T. Jones, and Haiyuan Wang. TEAMDEC: Integrative Decision Solutions with Multiple Information Sources. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada386716.

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Arens, Yigal, Chin Y. Chee, Chun-Nan Hsu, and Craig A. Knoblock. Retrieving and Integrating Data from Multiple Information Sources. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada269588.

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Berkowitz, Jacob, Christine VanZomeren, Nia Hurst, and Kristina Sebastian. An evaluation of soil phosphorus storage capacity (SPSC) at proposed wetland restoration locations in the western Lake Erie Basin. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42108.

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Historical loss of wetlands coupled with excess phosphorus (P) loading at watershed scales have degraded water quality in portions of the western Lake Erie Basin (WLEB). In response, efforts are underway to restore wetlands and decrease P loading to surface waters. Because wetlands have a finite capacity to retain P, researchers have developed techniques to determine whether wetlands function as P sources or sinks. The following technical report evaluates the soil P storage capacity (SPSC) at locations under consideration for wetland restoration in collaboration with the Great Lakes Restoration Initiative (GLRI) and the H2Ohio initiative. Results indicate that the examined soils display a range of P retention capacities, reflecting historic land-use patterns and management regimes. However, the majority of study locations exhibited some capacity to sequester additional P. The analysis supports development of rankings and comparative analyses of areas within a specific land parcel, informing management through design, avoidance, removal, or remediation of potential legacy P sources. Additionally, the approaches described herein support relative comparisons between multiple potential wetland development properties. These results, in conjunction with other data sources, can be used to target, prioritize, justify, and improve decision-making for wetland management activities in the WLEB.
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Kanugovi, S., F. Baboescu, J. Zhu, and S. Seo. Multiple Access Management Services Multi-Access Management Services (MAMS). RFC Editor, 2020. http://dx.doi.org/10.17487/rfc8743.

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Acharya, Viral, and Arvind Krishnamurthy. Capital Flow Management with Multiple Instruments. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24443.

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