Sökning: "occupancy model"
Visar resultat 1 - 5 av 55 uppsatser innehållade orden occupancy model.
1. Wi-Fi fingerprinting as a mean to measure building occupancy : A case study in an office environment
Master-uppsats, KTH/TransportplaneringSammanfattning : The task of collecting visitor data in an indoor environment and therein determining the occupancy of a building is an extensive task. Conventional methods are expensive, time-consuming, and often lack the ability to produce data in longer time series. Further, they often require disruption of the studied area as equipment must be deployed. LÄS MER
2. Understanding User Behaviour in a Circular Transport System : From personal choices to societal patterns
Master-uppsats, Stockholms universitet/Stockholm Resilience CentreSammanfattning : The Circular Economy is a growing research field and policy agenda. Yet, integrating the social dimensions of sustainability into the Circular Economy remains a challenge. The significance of reactions to an implemented Circular Economy is poorly understood. LÄS MER
3. Predicting room occupancy based on carbon dioxide concentration levels : And potential energy-saving use cases in HVAC (heating, ventilation and air conditioning) control systems.
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis aims to explore the possibilities of recording room occupancy based on measured CO2 (carbon dioxide) concentration levels, and potential energy-saving uses in HVAC (heating, ventilation and air conditioning) - control systems. Furthermore, this thesis specifically aims to use unsupervised machine learning methods, which removes the need for generating correct occupancy labels and training the models before deploying them. LÄS MER
4. Claws and Effect : how Small Carnivore Richness Responds to Habitat Diversity and Ecological Productivity
Master-uppsats, SLU/Dept. of Wildlife, Fish and Environmental StudiesSammanfattning : Species distribution and composition research has gained significance in light of global warming and its impact on biodiversity. Understanding the factors shaping species richness is crucial for wildlife ecology and conservation. LÄS MER
5. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER