Search for dissertations about: "Artificial and natural light"

Showing result 1 - 5 of 110 swedish dissertations containing the words Artificial and natural light.

2. 1. Light Rhythms : Exploring the Perceptual and Behavioural Effects of Daylight and Artificial Light Conditions in a Scandinavian Context

   Author : Federico Favero; Roberto Bresin; Arne Lowden; Ute Besenecker; Sergio Altomonte; KTH; []
   Keywords : HUMANIORA; HUMANITIES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; Lighting design; Context; Light; Behaviour; Perception of light; Perception of time; Associative aspects; Architecture; Daylight; Media Technology; Medieteknik;

   Abstract : This compilation thesis collects multidisciplinary work on the study of the impact of light rhythms on perception and behaviour. The thesis was structured to answer and discuss the questions: “How does a person feel and behave inan illuminated space?” and “Do variable light conditions influence perception, appraisal and motion?”. READ MORE

4. 2. Sound, Light and Electricity : as applications and analysis techniques to study metabolic effect and biofilm characterization of Geobacter sulfurreducens

   Author : Adolf Krige; Paul Christakopoulos; Ulrika Rova; Ashley Franks; Luleå tekniska universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MFC; Microbial fuel cell; Raman microscopy; BES; Geobacter sulfurreducens; Biokemisk processteknik; Biochemical Process Engineering;

   Abstract : ElectricityBio-electrochemical systems such as microbial fuel cells (MFCs) and microbial electrolysis cells have shown promise in wastewater treatment, bioremediation, desalination, carbon sequestration and as an alternative, renewable energy source. MFCs produces electricity via anaerobic oxidation of substrates with the subsequent extracellular electron transfer to an electrode. READ MORE

5. 3. Light for a brighter morrow : paving the way for sustainable light-emitting devices

   Author : Petter Lundberg; Ludvig Edman; Thomas Wågberg; Magnus Jonsson; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Artificial Light; Organic Electronics; Photophysics; Light-emitting Electrochemical Cells; Thermally Activated Delayed Fluorescence; Host-Guest; Sustainability; Solution Processing; fysik; Physics;

   Abstract : We live in an artificially lit world, where light enhances our productivity and improves our quality of life. Today our appetite for light is stronger than ever, and emerging light-emitting technologies do not just replace the classical incandescent light bulb, they also open up for a new world of applications. READ MORE

6. 4. Modeling glioblastoma growth patterns and their mechanistic origins

   Author : Emil Rosén; Sven Nelander; Rebecka Jörnsten; Philip Gerlee; Kristin Swanson; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; glioblastoma; invasion; image analysis; neural networks; Mathematics with specialization in Applied Mathematics; Matematik med inriktning mot tillämpad matematik; Oncology; Onkologi; Molekylär medicin; Molecular Medicine;

   Abstract : Glioblastoma (GBM) is the most common and aggressive primary brain cancer. GBM cells migrate away from the primary lesion and invade healthy brain tissue. The invading cells escape surgical resection, radiotherapy and develop resistance to chemotherapy. Consequently, despite treatment, recurrence is inevitable, and survival is only 14 months. READ MORE

7. 5. Word Representations for Emergent Communication and Natural Language Processing

   Author : Mikael Kågebäck; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Extractive summarisation; Emergent communication; Deep reinforcement learning; Natural language processing; Word Representations; Deep learning; Machine learning; Artificial neural networks;

   Abstract : The task of listing all semantic properties of a single word might seem manageable at first but as you unravel all the context dependent subtle variations in meaning that a word can encompass, you soon realize that precise mathematical definition of a word’s semantics is extremely difficult. In analogy, humans have no problem identifying their favorite pet in an image but the task of precisely defining how, is still beyond our capabilities. READ MORE