Essays about: "elastic"

Showing result 21 - 25 of 490 essays containing the word elastic.

  1. 21. Beyond the Big Five Factors: Using Facets and Nuances for Enhanced Prediction in Life Outcomes

    University essay from Lunds universitet/Institutionen för psykologi

    Author : Maiken Due Nielsen; [2023]
    Keywords : Personality traits; IPIP-NEO; facets; nuances; items; life outcomes; predictive validity; Social Sciences;

    Abstract : Objective: Previous research using personality traits to predict life outcomes has typically utilized the Big Five factors and, occasionally, their facets. However, recent research suggests that using items (reflecting personality nuances) can account for greater predictive variance. READ MORE

  3. 22. Cross region cloud redundancy : A comparison of a single-region and a multi-region approach

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Oskar Lindén; [2023]
    Keywords : Cloud computing; Cross-region replication; Performance evaluation;

    Abstract : In order to increase the resiliency and redundancy of a distributed system, it is common to keep standby systems and backups of data in different locations than the primary site, separated by a meaningful distance in order to tolerate local outages. Nasdaq has accomplished this by maintaining primary-standby pairs or primary-standby-disaster triplets with at least one system residing in a different site. READ MORE

  4. 23. Multi-Scale Topology Optimization of Lattice Structures Using Machine Learning

    University essay from Uppsala universitet/Tillämpad mekanik

    Author : Julia Ibstedt; [2023]
    Keywords : Topology optimization; Multi-scale topology optimization; Machine learning; Gaussian process; Homogenization; Inverse homogenization; Anisotropic materials; Symmetry groups; Material property space; Topologioptimering; Flerskalig topologioptimering; Maskininlärning; Gaussian process; Homogenisering; Anisotropa material; Symmetrigrupper; Materialegenskapsrymd;

    Abstract : This thesis explores using multi-scale topology optimization (TO) by utilizing inverse homogenization to automate the adjustment of each unit-cell's geometry and placement in a lattice structure within a pressure vessel (the design domain) to achieve desired structural properties. The aim is to find the optimal material distribution within the design domain as well as desired material properties at each discretized element and use machine learning (ML) to map microstructures with corresponding prescribed effective properties. READ MORE

  5. 24. Soil Improvement method by Mass Stabilization : Settlement analysis in stabilized sulfide soil

    University essay from Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurser

    Author : Albin Åkerlund; [2023]
    Keywords : Mass stabilization; Sulfide soil; settlement.;

    Abstract : Mass stabilization is not a common soil improvement method in Sweden, and even less so in sulfide soils. Previous research indicates that a linear elastic material model is suitable for settlements in stabilized sulfide soil. A construction project in the northern part of Sweden applied mass stabilization in sulfide soil. READ MORE

  6. 25. Auto-Tuning Apache Spark Parameters for Processing Large Datasets

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shidi Zhou; [2023]
    Keywords : Apache Spark; Cloud Environment; Spark Configuration Parameter; Resource Utilization; Ridge Regression; Elastic Net; Random Forest; Deep Neural Network; Bayesian Optimization; Particle Swarm Optimization.; Apache Spark; Molnmiljö; Apache Spark konfigurationsparameter; Resursutnyttjande; Ridge-regression; Elastisk nät; Slumpskog; Djupt neuralt nätverk; Bayesiansk optimering; Partikelsvärmsoptimering.;

    Abstract : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. READ MORE