Essays about: "indoor"
Showing result 16 - 20 of 933 essays containing the word indoor.
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16. LIKU - Building through motions
University essay from Göteborgs universitet/HDK-Valand - Högskolan för konst och designAbstract : LIKU: Building Through Motions project explores the method of designing that is born through children’s performative body movements. It is an attempt to combine child culture design with elements of bodily movements found in the performance art field. This project addresses the lack of movement-based play done by children in indoor environments. READ MORE
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17. Machine Learning Model for Localization in an Urban Environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The indoor localization problem has seen great improvements during the last tenyears and today it is possible to determine the location of electronic devices, such assmartphones, with centimeter precision. The aim of this project is to apply similar localizationmethods on multichannel antenna data gathered outdoors in an urban environment andanalyze the viability of this approach. READ MORE
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18. IMPACT OF GREEN WALLS ON INDOOR AIR HUMIDITY
University essay from Lunds universitet/Institutionen för arkitektur och byggd miljö; Lunds universitet/Avdelningen för Energi och byggnadsdesignAbstract : This thesis presents a case study of an indoor Green Wall (GW) installed in an office building in Malmö, Sweden. The study analyzed the effect of the GW on air humidity during low temperature and dry moisture outdoor conditions. READ MORE
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19. Analysis of the impacts of climate change on the energy use and indoor environmental quality in an office
University essay from KTH/Hållbara byggnaderAbstract : As the climate continues to change in upcoming years, the building sector will face serious and challenging problems where buildings will need to be adapted to withstand the changes. This study examined the impact of climate change on the energy need and indoor thermal comfort of an office building in Stockholm, Sweden. READ MORE
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20. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). READ MORE