Essays about: "traffic model"
Showing result 21 - 25 of 682 essays containing the words traffic model.
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21. Observability in Machine Learning based Intrusion Detection Systems for RPL-based IoT
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : As IoT devices become more and more present in our daily lives, security in IoT networks has become a major concern. A promising approach for detecting attacks is the use of machine learning based Intrusion Detection Systems (IDSs). The attack studied in this thesis is the blackhole attack, an attack causing parts of the network to disconnect. READ MORE
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22. Penetration testing of Sesame Smart door lock
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Internet of things (IoT) device has been widely used in various fields, and its market is expanding rapidly. However, the growing usage of IoT devices also brings more security concerns. The smart door lock is one of the smart home IoT devices that need to be designed securely. READ MORE
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23. 3D geospatial data requirements for simulating noise using the Nord2000 model: Case study of the impact of building façade types and roof configurations on simulated traffic noise levels
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : The European Union implements the Environmental Noise Directive (END), which offers a framework for evaluating and assessing environmental noise. All EU members are required to create strategic noise maps to inform the public about noise pollution and its effects. READ MORE
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24. Performance analysis of the communication system of a drone prototype used for maintenance and cleaning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Drones in today’s life are used in many sectors to automate various tasks. Delivering small items, capturing live events, and surveying dangerous areas are a few incredible operations of drones in today’s society. It can perform many tasks in human-restricted areas with less service time and cost. READ MORE
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25. Generation of Synthetic Traffic Sign Images using Diffusion Models
University essay from Linköpings universitet/DatorseendeAbstract : In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expensive. READ MORE