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Auflistung nach Schlagwort "Energy Consumption"

1 - 4 von 4
  • Konferenzbeitrag
    Conception and test of a measuring station for the analysisof the resource and energy consumption of material floworiented environmental management information systems (EMIS)
    (EnviroInfo 2022, 2022) Junger, Dennis; Wohlgemuth, Volker; Kammer, Eike
    The aim of this work is to design a measurement setting that enables the analysis of the resource and energy consumption of material flow oriented corporate environmental information systems (BUIS). For this purpose, the focus is put on the Life Cycle Assessment (LCA) software. LCA software supports LCA mainly in Life Cycle Inventory (LCI) and in Life Cycle Impact Analysis (LCIA). For the impact assessments, through which potential impacts on the environment are calculated, the LCA software requires many substance-specific life cycle impact data sets, which are stored in databases. In this work, we mainly refer to LCA software that runs in the form of desktop applications. In order to create a measurement configuration suitable for LCA software, the software to be tested and the necessary methodology for desktop solutions are searched. The found solution for sustainable evaluation of software products is adapted to the goal of comparing the efficiency LCA software. The determined measurement standard will be applied, modified and extended. The measurement configuration will be built and tested. Problems of a theoretical nature and problems in setting up the tests are addressed. Any problems of the comparability basis that may arise when performing tests on the selected LCA in the software in the future will be addressed, and a possible solution path will be shown. An outlook on the further course of the measurements is given.
  • Konferenzbeitrag
    Energy and resource comparison of current applications with a focus on statistical analyses and evaluations using the example of MATLAB and R
    (EnviroInfo 2023, 2023) Seegert, Tim; Bergmann, Malina; Brömme, Josephine; Junger, Dennis; Wohlgemuth, Volker
    This paper compares the energy and resource efficiency between MATLAB and R, two widely used programming languages in scientific computing and data analysis. A load driver and automation software, Power Automate, were utilized as a system under test to measure and evaluate the performance of both languages. Before the experiment, specific mathematical operations and execution methods were developed in MATLAB and R scripts. The measurement and evaluation were conducted using the Oscar framework. The results indicate that R outperforms MATLAB in baseline and statistical operations, while MATLAB excels in matrix calculations. These findings provide valuable insights for selecting the most suitable programming language based on specific computational requirements, optimizing energy consumption and resource utilization.
  • Konferenzbeitrag
    HollerithEnergyML: A Prototype of a Machine Learning Energy Consumption Recommender System
    (INFORMATIK 2024, 2024) Zanger, Michael; Schulz, Alexander; Grodmeier, Lukas; Agaj, Dion; Schindler, Rafael; Weiss, Lukas; Möhring, Michael
    Energy consumption aspects of machine learning classifiers are important for research and practice as well. Due to sparse research in this area, a prototype of a recommender system was developed to provide energy consumption recommendations of different possible classifiers. The prototype is demonstrated as well as discussed and future research points are derived.
  • Konferenzbeitrag
    Is Performance a Reliable Proxy for Energy Consumption?
    (Software Engineering 2024 (SE 2024), 2024) Weber, Max; Kaltenecker, Christian; Sattler, Florian; Apel, Sven; Siegmund, Norbert