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Dissertations / Theses on the topic 'Data driven performance'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Ramljak, Dusan. "Data Driven High Performance Data Access." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/530207.

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Computer and Information Science<br>Ph.D.<br>Low-latency, high throughput mechanisms to retrieve data become increasingly crucial as the cyber and cyber-physical systems pour out increasing amounts of data that often must be analyzed in an online manner. Generally, as the data volume increases, the marginal utility of an ``average'' data item tends to decline, which requires greater effort in identifying the most valuable data items and making them available with minimal overhead. We believe that data analytics driven mechanisms have a big role to play in solving this needle-in-the-haystack pr

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Barajas, Christopher. "DATA DRIVEN WORKFORCE PERFORMANCE PLANNING." CSUSB ScholarWorks, 2019. https://scholarworks.lib.csusb.edu/etd/945.

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The business of logistics and transportation is increasing in demand and complexity and will do so into the future. As with many businesses in the digital age, large amounts of data is being generated at increasing speeds leading us all into the era of big data. A common result is that organizations are left data rich and information poor. At ABC Logistics, and many other third party logistics and transportation companies, the question is how to harness the data and create centers of excellence through business intelligence methodologies. This research project goes through the steps taken to i

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Joyce, Sam. "Performance driven design systems in practice." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687303.

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This thesis is concerned with the application of computation in the context of professional architectural practice and specifically towards defining complex buildings that are highly integrated with respect to design and engineering performance. The thesis represents applied research undertaken whilst in practice at Foster + Partners. It reviews the current state of the art of computational design techniques to quickly but flexibly model and analyse building options. The application of parametric design tools to active design projects is discussed with respect to real examples as well as metho

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Wang, Weikun. "Data-driven software performance engineering : models and estimation algorithms." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/61828.

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The accurate performance measurement of computer applications is critical for service providers. For these providers, to ensure that the performance constraints signed by users can be respected, software performance models are used to provide quantitative predictions and evaluation of the applications such that timely adjustment of the architecture and fine tuning of the configurations can be achieved. For effective use of performance models in performance engineering, the fundamental problem is to assign realistic parameters to the models. In addition, the complexity of real-world application

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Cox, Jenny. "Data-driven performance assessments for river channel restoration schemes." Thesis, University of Portsmouth, 2018. https://researchportal.port.ac.uk/portal/en/theses/datadriven-performance-assessments-for-river-channel-restoration-schemes(8eea68b5-4230-451c-8557-75b9226a5e21).html.

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River restoration is a developing global industry and science working to improve river health. Monitoring river restoration projects is critical to confirm that this practice is benefitting river health. Data-led monitoring has often been neglected due to resource constraints. Technological advancements have recently presented opportunities to improve the uptake of data-driven performance assessments for river restoration schemes. However, there appear to be few examples of these technologies being applied outside of academia. Therefore, this research aims to explore and present guidance on ho

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BOURDEAUDUCQ, SÉBASTIEN. "A performance-driven SoC architecture for video synthesis." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-26151.

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Yanggratoke, Rerngvit. "Data-driven Performance Prediction and Resource Allocation for Cloud Services." Doctoral thesis, KTH, Kommunikationsnät, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-184601.

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Cloud services, which provide online entertainment, enterprise resource management, tax filing, etc., are becoming essential for consumers, businesses, and governments. The key functionalities of such services are provided by backend systems in data centers. This thesis focuses on three fundamental problems related to management of backend systems. We address these problems using data-driven approaches: triggering dynamic allocation by changes in the environment, obtaining configuration parameters from measurements, and learning from observations. The first problem relates to resource allocat

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Herrera-Restrepo, Oscar A. "Efficiency-Driven Enterprise Design." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/80481.

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This dissertation explores the use of the efficiency performance measurement paradigm (EM), in terms of its concepts and applications, as an ex-ante mechanism to evaluate enterprise performance and inform enterprise design. The design of an enterprise is driven by decisions that include, but not limit to, which strategies to implement, how to allocate resources, how to shift operating patterns, and how to boost coordination among enterprises, among others. Up to date, EM has been mainly used as a descriptive mechanism, but the fundamental reason for measuring performance in an ex-post fashion,

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Powell, Richard, and Jeff Kuhn. "HARDWARE- VS. SOFTWARE-DRIVEN REAL-TIME DATA ACQUISITION." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608291.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California<br>There are two basic approaches to developing data acquisition systems. The first is to buy or develop acquisition hardware and to then write software to input, identify, and distribute the data for processing, display, storage, and output to a network. The second is to design a system that handles some or all of these tasks in hardware instead of software. This paper describes the differences between software-driven and hardware-driven system architectu

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Hartmann, Lillian Ann. "An Examination of Mathematics Teachers’ Use of Student Data in Relationship to Student Academic Performance." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc407744/.

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Among educational researchers, important questions are being asked about how to improve mathematics instruction for elementary students. This study, conducted in a north Texas public school with 294 third- through fifth-grade students, ten teachers and three coaches, examined the relationship between students’ achievement in mathematics and the mathematics teaching and coaching instruction they received. Student achievement was measured by the Computer Adaptive Instrument (CAT), which is administered three times a year in the district and is the main criterion for students’ performance/movemen

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11

Watson, Christopher. "An exploration of traditional and data driven predictors of programming performance." Thesis, Durham University, 2015. http://etheses.dur.ac.uk/11141/.

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This thesis investigates factors that can be used to predict the success or failure of students taking an introductory programming course. Four studies were performed to explore how aspects of the teaching context, static factors based upon traditional learning theories, and data-driven metrics derived from aspects of programming behaviour were related to programming performance. In the first study, a systematic review into the worldwide outcomes of programming courses revealed an average pass rate of 67.7\%. This was found to have not significantly changed over time, or to have differed based

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Hosseini, Rahilsadat. "Wastewater's total influent estimation and performance modeling: a data driven approach." Thesis, University of Iowa, 2011. https://ir.uiowa.edu/etd/2716.

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Wastewater treatment plants (WWTP) involve several complex physical, biological and chemical processes. Often these processes exhibit non-linear behavior that is difficult to describe by classical mathematical models. Safer operation and control of a WWTP can be achieved by developing a modeling tool for predicting the plant performance. In the last decade, many studies were realized in wastewater treatment based on intelligent methods which are related to modeling WWTP. These studies are about predictions of WWTP parameters, process control of WWTP, estimating WWTP output parameters character

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Remediani, Valerio. "Data-driven Job Scheduling in Constraint Programming for HPC Systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15236/.

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La presente tesi si colloca nell'ambito dei sistemi eterogenei High-Performance-Computing (da ora in poi denominati HPC), che hanno la peculiarità di utilizzare svariati tipi di risorse. In particolare, l’attenzione sarà concentrata sulle tecniche di scheduling che agiscono all’interno di questi sistemi, laddove per scheduling si intendono i metodi funzionali ad elaborare i vari jobs che vengono sottomessi dagli utenti ai sistemi stessi. La trattazione si aprirà con una prima parte di tipo teorico necessaria a delineare le premesse necessarie all’applicazione pratica ad un caso specifico che s

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Zheng, Jun, and 鄭軍. "Performance analysis and algorithm design for data-driven IP/ATM labelswitching systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B3124273X.

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Welcker, Laura Joana Maria. "The impact of domain knowledge-driven variable derivation on classifier performance for corporate data mining." Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/5009.

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The technological progress in terms of increasing computational power and growing virtual space to collect data offers great potential for businesses to benefit from data mining applications. Data mining can create a competitive advantage for corporations by discovering business relevant information, such as patterns, relationships, and rules. The role of the human user within the data mining process is crucial, which is why the research area of domain knowledge becomes increasingly important. This thesis investigates the impact of domain knowledge-driven variable derivation on classifier perf

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Tao, Li. "Understanding the performance of healthcare services: a data-driven complex systems modeling approach." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/89.

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Healthcare is of critical importance in maintaining people’s health and wellness. It has attracted policy makers, researchers, and practitioners around the world to .nd better ways to improve the performance of healthcare services. One of the key indicators for assessing that performance is to show how accessible and timely the services will be to speci.c groups of people in distinct geographic locations and in di.erent seasons, which is commonly re.ected in the so-called wait times of services. Wait times involve multiple related impact factors, called predictors, such as demographic characte

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Bishop, Sherese. "Using Data-Driven Decision-Making to Enhance Performance| A Practical Guide for Organizations." Thesis, University of Maryland University College, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13422441.

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<p> Information technologies are experiencing rapid transformation which has increased the amount of data available to organizational leaders. This advancement in technology and data has generated the need for increased focus at every level of the organization making evidence-based decision-making overwhelming. The research paper studies the impact of data-driven decision-making on organizational performance from the scholar-practitioner point of view with the aim of helping practitioners in this process. Based on an evidence-based approach a systematic review was used to select studies that w

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Tarsa, Stephen J. "Machine Learning for Machines: Data-Driven Performance Tuning at Runtime Using Sparse Coding." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226074.

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We develop methods for adjusting device configurations to runtime conditions based on system-state predictions. Our approach statistically models performance data collected by either actively probing conditions such as wireless link quality, or leveraging existing infrastructure such as hardware performance counters. By predicting future runtime characteristics, we enable on-the-fly changes to wireless transmission schedule, voltage and frequency in circuits, and data placement in storage systems. In highly-variable everyday use-cases, we demonstrate large performance gains not by designing ne

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Zheng, Jun. "Performance analysis and algorithm design for data-driven IP/ATM label switching systems." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22370584.

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VERGERIO, GIULIA. "Data-driven building performance evaluation at different scales. Innovative metrics and methodological insights." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973092.

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Wang, Chi. "Narrative to Action in the Creation and Performance of Music with Data-driven Instruments." Thesis, University of Oregon, 2018. http://hdl.handle.net/1794/23277.

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The seven compositions that comprise this dissertation are represented by the following files: text file (pdf), seven video performances (mp4), and corresponding zipped files of custom software and affiliated files (various file types).<br>This Digital Portfolio Dissertation centers on a collection of seven digital videos of performances of original electroacoustic compositions that feature data-driven instruments. The dissertation also includes a copy of the original software and affiliated files used in performing the portfolio of music, and a text document that analyzes and describes the fo

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NOHRA, MARC. "Data-driven retrofitting strategy for buildings in Minneberg, Stockholm." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-283939.

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Complying with the Paris agreements requires substantial efforts in the building sector, and especially within the existing building stock which is responsible for a considerable amount of emissions and energy consumption. This master thesis focuses on the residential district of Minneberg, located in the west of Stockholm in Bromma. The urban building energy modelling (UBEM) approach is used to model the situation of the current district. This method uses real-life data provided by the district, as well as information found in energy performance certificates and in public databases. Based on

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23

Merikle, Elizabeth Paige 1965. "Facilitation of performance on a picture fragment completion test: Data-driven potentiation in perception." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/277941.

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A technique commonly used to study the structure of memory entails preceding a task by a brief masked presentation of a potentially relevant stimulus. In two experiments, I examined the type of facilitation obtained on a picture fragment completion task by prior presentation of either the name of the completed object, a complete picture of the object, or the fragment itself. In Experiment 1a significantly more ambiguous picture fragments (i.e. fragments supporting a number of interpretations) were identified after exposure to pictures than to picture names or picture fragments. Experiment 1b v

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Netti, Alessio. "Development of Data-Driven Dispatching Heuristics for Heterogeneous HPC Systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14541/.

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Nell’ambito dei sistemi High-Performance Computing, l'uso di euristiche di dispatching efficaci, per lo scheduling e l'allocazione dei jobs in arrivo, è fondamentale al fine di ottenere buoni livelli di Quality of Service. In questo elaborato ci concentreremo sul design e l’analisi di euristiche di allocazione delle risorse, che saranno progettate per sistemi HPC eterogenei, nei quali i nodi possono essere equipaggiati con diverse tipologie di unità di elaborazione. Impiegheremo poi euristiche data-driven per la predizione della durata dei jobs, e valuteremo il tutto dal punto di vista del thr

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Chan, Francis. "Knowledge management in Naval Sea Systems Command : a structure for performance driven knowledge management initiative." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FChan.pdf.

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Thesis (M.S. in Product Development)--Naval Postgraduate School, September 2002.<br>Thesis advisor(s): Mark E. Nissen, Donald H. Steinbrecher. Includes bibliographical references (p. 113-117). Also available online.

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Henclewood, Dwayne Anthony. "Real-time estimation of arterial performance measures using a data-driven microscopic traffic simulation technique." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44792.

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Traffic congestion is a one hundred billion dollar problem in the US. The cost of congestion has been trending upward over the last few decades, but has experienced slight decreases in recent years partly due to the impact of congestion reduction strategies. The impact of these strategies is however largely experienced on freeways and not arterials. This discrepancy in impact is partially linked to the lack of real-time, arterial traffic information. Toward this end, this research effort seeks to address the lack of arterial traffic information. To address this dearth of information, thi

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Kullenda, Kuben. "Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/79594.

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Maintenance management is seen as a “necessary evil”, rather than a profit contributing resource that could intensify competitive advantage for the organisation. With the world facing the fourth industrial revolution, a radical increase in the reshaping of companies and competition within asset intensive industries is being observed. Organisations in these industries are being forced to rethink traditional ways of working and gearing the workforce with higher and more diversified competency profiles. This suggests that the traditional way of executing maintenance management, being predominantl

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Kromanis, Rolands. "Structural performance evaluation of bridges : characterizing and integrating thermal response." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/17440.

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Bridge monitoring studies indicate that the quasi-static response of a bridge, while dependent on various input forces, is affected predominantly by variations in temperature. In many structures, the quasi-static response can even be approximated as equal to its thermal response. Consequently, interpretation of measurements from quasi-static monitoring requires accounting for the thermal response in measurements. Developing solutions to this challenge, which is critical to relate measurements to decision-making and thereby realize the full potential of SHM for bridge management, is the main fo

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Allevato, Anthony James. "From Intuition to Evidence: A Data-Driven Approach to Transforming CS Education." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28352.

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Educators in many disciplines are too often forced to rely on intuition about how students learn and the effectiveness of teaching to guide changes and improvements to their curricula. In computer science, systems that perform automated collection and assessment of programming assignments are seeing increased adoption, and these systems generate a great deal of meaningful intermediate data and statistics during the grading process. Continuous collection of these data and long-term retention of collected data present educators with a new resource to assess both learning (how well students under

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Haggren, Hugo, and Patrik Amethier. "Data-Driven Predictions of Outcome for an Internet-Delivered Treatment Against Anxiety Disorders : A Comparison of Clinician and Algorithm Performance." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230705.

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This paper analyzes a data set obtained from a recent study per ormed at The Karolinska Institute. The data set is comprised of 131 children with anxiety disorders, aged 8 - 12, who all underwent a novel treatment against their disorder called internet-delivered cognitive behavior therapy (ICBT). The data set contains standardized clinical severity ratings (CSR) of the patients before and and after the treatment, as well as 233 features for each patient (demographicinformation, symptom reports, information on other diagnoses etc). Before thetreatment, the clinicians also made a "guess", scored

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Sitruk, Yohann. "Pilotage de la performance des projets de science citoyenne dans un contexte de transformation du rapport aux données scientifiques : systématisation et perte de production." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEM035/document.

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De plus en plus d’organisations scientifiques contemporaines intègrent dans leur processus des foules de participants assignés à des tâches variées, souvent appelés projets de science citoyenne. Ces foules sont une opportunité dans un contexte lié à une avalanche de données massives qui met les structures scientifiques face à leurs limites en terme de ressources et en capacités. Mais ces nouvelles formes de coopération sont déstabilisées par leur nature même dès lors que les tâches déléguées à la foule demandent une certaine inventivité - résoudre des problèmes, formuler des hypothèses scienti

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Rafique, Muhammad T. "Monitoring, diagnostics and improvement of process performance." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/1333.

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The data generated in a chemical industry is a reflection of the process. With the modern computer control systems and data logging facilities, there is an increasing ability to collect large amounts of data. As there are many underlying aspects of the process in that data, with its proper utilization, it is possible to obtain useful information for process monitoring and fault diagnosis in addition to many other decision making activities. The purpose of this research is to utilize the data driven multivariate techniques of Principal Component Analysis (PCA) and Independent Component Analysis

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Cioaca, Alexandru George. "A Computational Framework for Assessing and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/51795.

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A deep scientific understanding of complex physical systems, such as the atmosphere, can be achieved neither by direct measurements nor by numerical simulations alone. Data assimilation is a rigorous procedure to fuse information from a priori knowledge of the system state, the physical laws governing the evolution of the system, and real measurements, all with associated error statistics. Data assimilation produces best (a posteriori) estimates of model states and parameter values, and results in considerably improved computer simulations. The acquisition and use of observations in data ass

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Roig-Watnik, Steven M. "A Retrospective-Longitudinal Examination of the Relationship between Apportionment of Seat Time in Community-College Algebra Courses and Student Academic Performance." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/826.

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During the past decade, there has been a dramatic increase by postsecondary institutions in providing academic programs and course offerings in a multitude of formats and venues (Biemiller, 2009; Kucsera & Zimmaro, 2010; Lang, 2009; Mangan, 2008). Strategies pertaining to reapportionment of course-delivery seat time have been a major facet of these institutional initiatives; most notably, within many open-door 2-year colleges. Often, these enrollment-management decisions are driven by the desire to increase market-share, optimize the usage of finite facility capacity, and contain costs, especi

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Warnimont, Chad. "The Relationship Between Students’ Performance On The Cognitive Abilities Test (Cogat) And The Fourth And Fifth Grade Reading And Math Achievement Tests In Ohio." Bowling Green State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1276715905.

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RICCI, RICCARDO. "Making digitalization effective: an exploration of the complementarity between digital technologies and organizational practices in the Italian Automotive Component Industry." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2907022.

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Geneves, Sylvain. "Etude de performances sur processeurs multicoeur : environnement d'exécution événementiel efficace et étude comparative de modèles de programmation." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00842012.

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Cette thèse traite des performances des serveurs de données en multi-cœur. Plus précisément nous nous intéressons au passage à l'échelle avec le nombre de cœurs. Dans un premier temps, nous étudions le fonctionnement interne d'un support d'exécution événementiel multi-cœur. Nous montrons tout d'abord que le faux-partage ainsi que les mécanismes de communications inter-cœurs dégradent fortement les performances et empêchent le passage à l'échelle des applications. Nous proposons alors plusieurs optimisations pour pallier ces comportements. Dans un second temps, nous comparons les performances e

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Kang, Yong Suk. "Development of Predictive Vehicle Control System using Driving Environment Data for Autonomous Vehicles and Advanced Driver Assistance Systems." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85106.

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In the field of modern automotive engineering, many researchers are focusing on the development of advanced vehicle control systems such as autonomous vehicle systems and Advanced Driver Assistance Systems (ADAS). Furthermore, Driver Assistance Systems (DAS) such as cruise control, Anti-Lock Braking Systems (ABS), and Electronic Stability Control (ESC) have become widely popular in the automotive industry. Therefore, vehicle control research attracts attention from both academia and industry, and has been an active area of vehicle research for over 30 years, resulting in impressive DAS contrib

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Loy, James Michael. "RELATING NATURALISTIC GLOBAL POSITIONING SYSTEM (GPS) DRIVING DATA WITH LONG-TERM SAFETY PERFORMANCE OF ROADWAYS." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1078.

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This thesis describes a research study relating naturalistic Global Positioning System (GPS) driving data with long-term traffic safety performance for two classes of roadways. These two classes are multilane arterial streets and limited access highways. GPS driving data used for this study was collected from 33 volunteer drivers from July 2012 to March 2013. The GPS devices used were custom GPS data loggers capable of recording speed, position, and other attributes at an average rate of 2.5 hertz. Linear Referencing in ESRI ArcMAP was performed to assign spatial and other roadway attributes t

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Neyens, David Michael. "Driver distraction: implications for individuals with traumatic brain injuries." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/862.

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Traumatic brain injuries (TBIs) are injuries to the brain associated with the transfer of energy from some external source. There are an estimated 1.4 million TBIs each year, and about half are due to transportation crashes (NINDS, 2007). Driver distraction is defined as a process or condition that draws a driver's attention away from driving activities toward a competing activity (Sheridan, 2004) and has been identified as an under-examined issue for TBI populations (Cyr, et al., 2008). The interaction between the cognitive impairments related to TBIs and the competing demands from driver dis

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Yasuda, Takeo. "Circuit Technologies for High Performance Hard Disk Drive Data Channel LSI." 京都大学 (Kyoto University), 2001. http://hdl.handle.net/2433/150621.

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Jaziri, Faouzi. "Conception et analyse des biopuces à ADN en environnements parallèles et distribués." Thesis, Clermont-Ferrand 2, 2014. http://www.theses.fr/2014CLF22465/document.

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Les microorganismes constituent la plus grande diversité du monde vivant. Ils jouent un rôle clef dans tous les processus biologiques grâce à leurs capacités d’adaptation et à la diversité de leurs capacités métaboliques. Le développement de nouvelles approches de génomique permet de mieux explorer les populations microbiennes. Dans ce contexte, les biopuces à ADN représentent un outil à haut débit de choix pour l'étude de plusieurs milliers d’espèces en une seule expérience. Cependant, la conception et l’analyse des biopuces à ADN, avec leurs formats de haute densité actuels ainsi que l’immen

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Carpatorea, Iulian. "Methods to quantify and qualify truck driver performance." Licentiate thesis, Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33229.

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Fuel consumption is a major economical component of vehicles, particularly for heavy-duty vehicles. It is dependent on many factors, such as driver and environment, and control over some factors is present, e.g. route, and we can try to optimize others, e.g. driver. The driver is responsible for around 30% of the operational cost for the fleet operator and is therefore important to have efficient drivers as they also inuence fuel consumption which is another major cost, amounting to around 40% of vehicle operation. The difference between good and bad drivers can be substantial, depending on th

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Lin, Canchu. "Exploring Big Data Capability: Drivers and Impact on Supply Chain Performance." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1460732261.

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Aich, Sudipto. "Evaluation of Driver Performance While Making Unprotected Intersection Turns Utilizing Naturalistic Data Integration Methods." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/76892.

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Within the set of all vehicle crashes that occur annually, of intersection-related crashes are over-represented. The research conducted here uses an empirical approach to study driver behavior at intersections, in a naturalistic paradigm. A data-mining algorithm was used to aggregate the data from two different naturalistic databases to obtain instances of unprotected turns at the same intersection. Several dependent variables were analyzed which included visual entropy, mean-duration of glances to locations in the driver's view, gap-acceptance/rejection time. Kinematic dependent variables inc

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Wu, Guanying. "Performance and Reliability Study and Exploration of NAND Flash-based Solid State Drives." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3159.

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The research that stems from my doctoral dissertation focuses on addressing essential challenges in developing techniques that utilize solid-state memory technologies (with emphasis on NAND flash memory) from device, circuit, architecture, and system perspectives in order to exploit their true potential for improving I/O performance in high-performance computing systems. These challenges include not only the performance quirks arising from the physical nature of NAND flash memory, e.g., the inability to modify data in-place, read/write performance asymmetry, and slow and constrained erase func

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Ait, Habouche Manele. "Une infrastructure performante de services distribués pour la collecte et la visualisation de séries temporelles issues de drones marins." Electronic Thesis or Diss., Brest, 2024. http://www.theses.fr/2024BRES0126.

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Les drones sont aujourd’hui largement utilisés pour l’exploration et la surveillance des environnements marins. Ces plateformes permettent aux scientifiques de mener des missions d’observation et de recueillir des données, souvent sous forme de séries temporelles, en vue de les traiter et de les analyser. Néanmoins, leur utilisation efficace soulève des défis techniques, notamment en ce qui concerne la gestion des grandes quantités de données produites par les capteurs lors des missions. Ces défis incluent la nécessité d’optimiser la communication pour éviter de solliciter de manière excessive

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Usman, Khalid M. Eng Massachusetts Institute of Technology. "Determination of drivers of stock-out performance of retail stores using data mining techniques." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45246.

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Includes bibliographical references (leaves 66-67).<br>Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.<br>This research applies data mining techniques to give a picture of the interaction of performance variables such as between stock-outs and store attributes, and stock-outs and other variables including store sales, income and demographic data, as well as various aspects of inventory management data. This research uses three data mining techniques: multiple ordinary-least-squares (OLS) regression, logistic regression and data clusteri

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Slade, Christopher Ryan. "On-Disk Sequence Cache (ODSC): Using Excess Disk Capacity to Increase Performance." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1020.pdf.

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Ben, Jeddou Roukaya. "Football Selection Optimization through the Integration of Management Theories, AI and Multi-criteria Decision Making." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCG009.

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Le travail de recherche décrit dans cette thèse s'inscrit dans le contexte de la gestion d'un club de football professionnel, où l'établissement d'un équilibre humain et financier est essentiel pour assurer la pérennité des organisations sportives. Dans le management du football, les méthodes traditionnelles de sélection des joueurs ont historiquement guidé le processus de prise de décision au niveau des clubs. Ce processus de décision stratégique, souvent subjectif et incertain, peut avoir un impact significatif sur les performances financières, économiques et sportives de l’équipe.Alors que

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