Essays about: "Smart Environment"

Showing result 6 - 10 of 362 essays containing the words Smart Environment.

  1. 6. Designing a Novel RPL Objective Function & Testing RPL Objective Functions Performance

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Khalil Mardini; Emad Abdulsamad; [2023]
    Keywords : Routing protocol for low-power and lossy networks RPL ; Wireless Sensor Networks WSN ; The Internet of Things IoT ; Objective Function OF ; Low-Power and Lossy Networks LLNs ; Expected Transmission Count ETX ; Min- imum Rank with Hysteresis Objective Function MRHOF ; Packet Delivery Ratio PDR ; Directed Acyclic Graph DODAG ;

    Abstract : The use of Internet of Things systems has increased to meet the need for smart systems in various fields, such as smart homes, intelligent industries, medical systems, agriculture, and the military. IoT networks are expanding daily to include hundreds and thousands of IoT devices, which transmit information through other linked devices to reach the network sink or gateway. READ MORE

  3. 7. Performance Evaluation of LoRa networks for Air-to-Ground Communications

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Kiana Khorsandi; Sareh Jalalizad; [2023]
    Keywords : IoT; LPWAN; LoRaWan; UAV; LAP; Bit error rate; Line of sight;

    Abstract : The current focus on the Internet of Things (IoT) has led to the emergence of many network scenarios with unlimited use cases, including smart homes, smart cities, smart agriculture, and more. Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly popular due to their versatility and ability to collect and transmit data through various sensors and cameras. READ MORE

  4. 8. Evaluation of FMCW Radar Jamming Sensitivity

    University essay from Uppsala universitet/Signaler och system

    Author : Ludvig Snihs; [2023]
    Keywords : FMCW; FMCW radar; radar; frequency-modulated radar; noise jamming; frequency-modulated continuous wave radar; FMCW Jamming; Jamming; Pulse Train; Pulse Jamming; Spoofing Attack; Spoofing; Deception; Repeater Jamming; Repeater; Automotive Radar; CFAR; sensor jamming; constant false alarm rate; electronic warfare; EW; FMCW; FMCW radar; frekvensmodulerad dopplerradar; dopplerradar; radar; brusstörning; radarstörning; pulsstörning; pulståg; falskmål; vilseledning; repeterstörning; bilradar; sensorstörning; CFAR;

    Abstract : In this work, the interference sensitivity of an FMCW radar has been evaluated by studying the impact on a simulated detection chain. A commercially available FMCW radar was first characterized and its properties then laid the foundation for a simulation model implemented in Matlab. READ MORE

  5. 9. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shihang Zhou; [2023]
    Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

  6. 10. Towards more efficient industrial lighting : Literature review on energy efficiency improvement of industrial lighting

    University essay from Linköpings universitet/Energisystem

    Author : Xabier Aiastui; [2023]
    Keywords : Industrial lighitng; Energy efficiency; LED;

    Abstract : This master thesis work is aimed to investigate the possibilities of achieving more efficient industrial lighting. The study is divided in four parts: 1) Industrial lighting energy efficiency measures, 2) Added value of lighting, 3) Drivers and barriers for adopting lighting efficiency measures, and 4) Applications of AI in industrial lighting. READ MORE