Sökning: "varför automatisera"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden varför automatisera.

  1. 1. Green Room : A climate controlling grow-box for growing mushrooms and greens.

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Bill Skullman; Gabriella Herlin; [2023]
    Nyckelord :Mechatronics; Aeroponic farming; Mushroom farming; Photosynthesizing plants - Greens; Ultrasonic atomizer; Mekatronik; Aeroponisk odling; Svampodling; Fotosyntetiserande växter; Ultraljudsluftfuktare;

    Sammanfattning : This report covers a project on a partially automated aeroponic and fungi growing system. The purpose is to evaluate if an enclosed space system can be automated to produce healthy crops of greens and fungi, and investigate how well the system can switch between these two growth modes. LÄS MER

  2. 2. Orbit-simulator for downstream processes

    Master-uppsats, Lunds universitet/Kemiteknik (CI)

    Författare :Andreas Malmström; [2022]
    Nyckelord :Chemical engineering; Process simulation; Downstream processes; Orbit; Preparative chromatography; Python; Lumped Rate Models; Technology and Engineering;

    Sammanfattning : In an ever more digitilized society, the transition is palpable also in the pharmaceutical industry. The control system Orbit was developed at the department of chemical engineering at Lund University, to be able to automate downstream processes based on the ÄKTA-system. LÄS MER

  3. 3. Automating the extraction of Financial data

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nicolas Rollino; Rakin Ali; [2022]
    Nyckelord :Web scraper; Financial data; Textract; AWS; Node.JS; Puppeteer;

    Sammanfattning : It is hard for retail investors and data providing companies to attain financial data of European companies. The work of extracting financial data of European companies is most likely done manually, which is a time-consuming process. This would explain why European companies’ data is supplied slower than American companies. LÄS MER

  4. 4. Explainable Artificial Intelligence for Reinforcement Learning Agents

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Linus Nilsson; [2021]
    Nyckelord :;

    Sammanfattning : Following the success that machine learning has enjoyed over the last decade, reinforcement learning has become a prime research area for automation and solving complex tasks. Ranging from playing video games at a professional level to robots collaborating in picking goods in warehouses, the applications of reinforcement learning are numerous. LÄS MER

  5. 5. Anomaly Detection for Root Cause Analysis in System Logs using Long Short-Term Memory

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Johan von Hacht; [2021]
    Nyckelord :Anomaly detection; Root cause analysis; System logs; Long Short-Term Memory; Machine learning; Anomalidetektion; Grundorsaksanalys; System loggar; Long Short-Term Memory; Maskininlärning;

    Sammanfattning : Many software systems are under test to ensure that they function as expected. Sometimes, a test can fail, and in that case, it is essential to understand the cause of the failure. However, as systems grow larger and become more complex, this task can become non-trivial and potentially take much time. LÄS MER