Sökning: "Högskolan Dalarna"

Visar resultat 1 - 5 av 218 avhandlingar innehållade orden Högskolan Dalarna.

1. 1. Human factors and wireless network applications : more bits and better bits

   Författare :Greger Wikstrand; Lars-Erik Janlert; Jerry Eriksson; Mark Högskolan Dalarna Ekonomi och samhälle Dougherty; Angela Sasse; Umeå universitet; []
   Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Human factors; Mobile multimedia; Access protocols; Computer network performance; Quality of service; Video conferencing; Computer games; Streaming video; Medium access control; Collision detection; Reliable multicast; Computer science; Datavetenskap;

   Sammanfattning : I avhandlingen beskrivs ett hypotetiskt system som kan användas av mobila användare, bland andra taxichaufförer, som exempelvis vill följa en viktig fotbollsmatch. Flera faktorer ställer till problem: Ibland står bilen still och föraren har inget annat att tänka på än matchen. LÄS MER

3. 2. 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 :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; 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

4. 3. Smartphone-based Parkinson’s disease symptom assessment

   Författare :Somayeh Aghanavesi; Mark Dougherty; Jerker Westin; Hasan Fleyeh; Mevludin Memedi; Högskolan Dalarna; []
   Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parkinson’s disease; symptom assessment; spiral; tapping; smartphone; temporal irregularity; timing variability; approximate entropy; ; FLOAT - Flexibel levodopa-optimerings och individanpassningsteknik; FLOAT - Flexible Levodopa Optimizing Assistive Technology;

   Sammanfattning : This thesis consists of four research papers presenting a microdata analysis approach to assess and evaluate the Parkinson’s disease (PD) motor symptoms using smartphone-based systems. PD is a progressive neurological disorder that is characterized by motor symptoms. LÄS MER

5. 4. The physical classroom environment : roles, conceptions, and preferences

   Författare :Magnus Fahlström; Högskolan Dalarna; []
   Nyckelord :SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Sammanfattning : The problem addressed in this thesis is that a considerable proportion of students around the world attend school in inadequate facilities, which is detrimental for the students’ learning outcome. The overall objective in this thesis is to develop a methodology, with a novel approach to involve teachers, to generate a valuable basis for decisions regarding design and improvement of physical school environment, based on the expressed needs for a specific school, municipality, or district as well as evidence from existing research. LÄS MER

7. 5. Nonresponse issues when analysing business survey data

   Författare :Åsa Grek; Mark Dougherty; Martin Johanson; Fredrik Hartwig; Lars Hultkrantz; Högskolan Dalarna; []
   Nyckelord :SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Sammanfattning : Data issues due to nonresponse or missing data arises often in company surveys or in firm data. Missing data and nonresponse causes bias. Another problem that causes bias is omitted variables. Accordingly, it will lead to wrong conclusions. LÄS MER