Essays about: "avdelningar"

Showing result 1 - 5 of 170 essays containing the word avdelningar.

  1. 1. Ventilation for reduced indoor spread of Covid 19 and similar diseases : A literature review focusing on hospital environments

    University essay from Högskolan i Gävle/Energisystem och byggnadsteknik

    Author : Cyrus Ourak Pour; [2023]
    Keywords : COVID-19; SARS-CoV-2; Ventilation system; Mixing ventilation MV ; Displacement ventilation DV ; Under floor air distribution UFAD ; Ultraviolet light UV ; HEPA filter; COVID-19; SARS-CoV-2; Ventilationssystem; Blandningsventilation; Deplacementventilation; Luftfördelning under golv; Ultraviolett ljus; HEPA-filter;

    Abstract : Today, a significant portion of individuals’ time is spent indoors, estimated at approximately 90% of their total time. This raises concerns about the transmission of Coronavirus Disease 2019 (COVID-19) instigating Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and similar viruses and highlights the critical role of ventilation systems in indoor environments, which this study aims to investigate. READ MORE

  3. 2. Methods for local energy and climate planning : A Case stuudy on the Urban Community of Dunkirk

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Sacha Thibault; [2023]
    Keywords : Energy transition - Climate and energy policy - Renewable energy - Decision-Support Tools - Local authorities; Energiomställning - Klimat- och energipolitik - Förnybar energi - Verktyg för beslutsstöd - Lokala myndigheter;

    Abstract : Energy management concerns were raised in France after the oil crisis in the 1970s. From then, the local actors developed policies to better control the energy production and consumption on the territories. Climate considerations and the need to limit greenhouse gases (GHG) emissions were then added to these energy issues in the early 2000s. READ MORE

  4. 3. Developing a User Interface Knowledge Management System to Support Provision of Clean Water and Sewers in the Buenos Aires Province : A Minor Field Study Based on Interaction Design

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

    Author : Jonathan Schiött; William Ivergren; [2023]
    Keywords : Knowledge Management System; Data management; User Experience Design; AySA;

    Abstract : This study aimed to develop a proof of concept Knowledge Management System (KMS) for Agua y Saneamientos Argentinos (AySA), an Argentinean water and sanitation firm. Key areas of investigation encompassed data management, knowledge sharing, talent retention, and operational efficacy challenges faced by AySA. READ MORE

  5. 4. Unlocking the Potential of Business Intelligence in HR: Assessment of how maturity is to be developed : A case study

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Berken Celik; O'bryan Gaete; [2023]
    Keywords : Business intelligence; human resources; BI maturity; predictive analysis; data-drive decision-making; BI factors; Business Intelligence; HR; BI-mognad; prediktiv analys; datadrivet beslutsfattande; BI-faktorer;

    Abstract : The rise of technology and digitalization has greatly impacted organizations, particularly in the field ofHuman Resources (HR). To stay competitive in this evolving landscape, HR departments are increasingly adopting Business Intelligence (BI) as a useful umbrella concept to collect, store, access, and analyze data for data-driven decision-making. READ MORE

  6. 5. Exploratory Assessment of Machine Learning, Geospatial Methods, and Data Evaluation Techniques for Modelling Cooking Fuels in Colombia

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Federico Naranjo Hernandez; [2023]
    Keywords : ;

    Abstract : This thesis evaluates the application of machine learning and Geographic Information System (GIS) methods to analyze Colombia's cooking fuels landscape. The study aims to identify socio-economic and geographical factors affecting cooking fuel choices and assess the predictive power of various machine learning algorithms using associative data. READ MORE