Sökning: "data collection methodology"

Visar resultat 1 - 5 av 114 avhandlingar innehållade orden data collection methodology.

  1. 1. Information Needs for Water Resource and Risk Management : Hydro-Meteorological Data Value and Non-Traditional Information

    Författare :Marc Girons Lopez; Jan Seibert; Sven Halldin; Thomas Grabs; Giuliano Di Baldassarre; Elena Toth; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; water management; data resolution; non-traditional data; floods; modelling; social memory; precipitation; runoff; social media; interpolation; data value; gestió de l’aigua; resolució de les dades; dades no tradicionals; inundacions; modelització; memòria social; precipitació; escorrentia; xarxes socials; interpolació; valor de les dades; avrinning; befolkningars minne; dataupplösning; datavärde; interpolering; mjuk information; modellering; nederbörd; sociala medier; vattenförvaltning; översvämning; gestión del agua; resolución de los datos; datos no tradicionales; inundaciones; modelización; memoria social; precipitación; escorrentía; redes sociales; interpolación; valor de los datos; Hydrology; Hydrologi;

    Sammanfattning : Data availability is extremely important for water management. Without data it would not be possible to know how much water is available or how often extreme events are likely to occur. The usually available hydro-meteorological data often have a limited representativeness and are affected by errors and uncertainties. LÄS MER

  3. 2. MEILI : Multiple Day Travel Behaviour Data Collection, Automation and Analysis

    Författare :Adrian Corneliu Prelipcean; Yusak Octavius Susilo; Gyözö Gidofalvi; Zachary Pattersson; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; multiple day travel diary collection; trajectory segmentation; travel mode destination and purpose inference; travel diary collection system comparison; travel pattern stability and variability over time; Transportvetenskap; Transport Science; Computer Science; Datalogi; Geodesy and Geoinformatics; Geodesi och geoinformatik;

    Sammanfattning : Researchers' pursuit for the better understanding of the dynamics of travel and travel behaviour led to a constant advance in data collection methods. One such data collection method, the travel diary, is a common proxy for travel behaviour and its use has a long history in the transportation research community. LÄS MER

  4. 3. Using Observers for Model Based Data Collection in Distributed Tactical Operations

    Författare :Mirko Thorstensson; Henrik Eriksson; Johan Jenvald; Henric Stenmark; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Observers; model-based data collection; distributed tactical operations; taskforce training; communication analysis; reconstruction exploration; extended link analysis; timed checkpoints; network based observer tool; Computer science; Datavetenskap;

    Sammanfattning : Modern information technology increases the use of computers in training systems as well as in command-and-control systems in military services and public-safety organizations. This computerization combined with new threats present a challenging complexity. LÄS MER

  5. 4. Human mobility behavior : Transport mode detection by GPS data

    Författare :Paria Sadeghian; Johan Håkansson; Xiaoyun Zhao; Kenneth Carling; Gyözö Gidofalvi; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Transport mode detection; Machine learning; Statistical learning; Rule-based method; Data labeling;

    Sammanfattning : GPS tracking data are widely used to understand human travel behavior and to evaluate the impact of travel. A major advantage with the usage of GPS tracking devices for collecting data is that it enables the researcher to collect large amounts of highly accurate and detailed human mobility data. LÄS MER

  7. 5. Sensor-based knowledge- and data-driven methods : A case of Parkinson’s disease motor symptoms quantification

    Författare :Somayeh Aghanavesi; Mark Dougherty; Mobyen Uddin Ahmed; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Parkinson’s disease; motion sensors; motor symptoms; smartphone; microdata; multivariate analysis; data-driven; knowledge-driven; support vector machine stepwise regression; predictive models; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : The overall aim of this thesis was to develop and evaluate new knowledge- and data-driven methods for supporting treatment and providing information for better assessment of Parkinson’s disease (PD).PD is complex and progressive. There is a large amount of inter- and intravariability in motor symptoms of patients with PD (PwPD). LÄS MER