Essays about: "Edge-computing"

Showing result 11 - 15 of 78 essays containing the word Edge-computing.

1. 11. Integration of Attribute-Based Encryption and IoT: An IoT Security Architecture

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Ziyad Elbanna; [2023]
   Keywords : Internet of things; Attribute based encryption; Fine-grained access control; Key revocation; Proxy re-encryption;

   Abstract : Services relying on internet of things (IoTs) are increasing day by day. IoT makes use of internet services like network connectivity and computing capability to transform everyday objects into smart things that can interact with users, and the environment to achieve a purpose they are designed for. READ MORE

3. 12. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Kristoffer Westring; Linus Svensson; [2023]
   Keywords : FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

   Abstract : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. READ MORE

4. 13. Real Time Vehicle Detection for Intelligent Transportation Systems

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Elda Shurdhaj; Ulehla Christián; [2023]
   Keywords : Unmanned aerial vehicles UAVs ; vehicle detection; CNN architecture; snow cover; NVD; Yolov5s; Yolov8s; Faster R-CNN; real-time processing; edge devices;

   Abstract : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. READ MORE

5. 14. Edge Computing Security for IoT : A Systematic Literature Review

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

   Author : Albin Johnsson; Adam Nordling; [2023]
   Keywords : ;

   Abstract : This study conducts a systematic literature review (SLR) to explore the security threats, their mitigation strategies, and the roles of blockchain and 5G technologies in enhancing the security of IoT devices in edge computing environments. Utilizing digital libraries as resources, the review examines three research questions that delve into the common security threats for IoT devices in edge computing, the unique security issues for sensors, gateways, and actuators, and the advantages of integrating blockchain and 5G technologies into edge computing security for IoT systems. READ MORE

6. 15. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

   Author : Isabella Luppi; [2023]
   Keywords : Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

   Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE