Sökning: "computation overheads"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden computation overheads.
1. IoT as Fog Nodes: An Evaluation on Performance and Scalability
Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : I takt med den exponentiella tillväxten av Internet of Things (IoT) har utmaningen att hantera den enorma mängden genererade data blivit allt större. Denna studie undersöker paradigmen med distribuerade dimdatorer, där kostnadseffektiva IoT-enheter används som dimnoder, som en potentiell lösning på de utmaningarna som det centraliserade molnet står inför. LÄS MER
2. Utilizing machine learning in wildlife camera traps for automatic classification of animal species : An application of machine learning on edge devices
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : A rapid global decline in biodiversity has been observed in the past few decades, especially in large vertebrates and the habitats supporting these animal populations. This widely accepted fact has made it very important to understand how animals respond to modern ecological threats and to understand the ecosystems functions. LÄS MER
3. Identifying the role of remote display Protocol in behavioral biometric systems based on free-text keystroke dynamics, an experiment
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : The ubiquity and speed of Internet access led over the past decade to an exponential increase in the use of thin clients and cloud computing, both taking advantage of the ability to remotely provide computing resources. The work investigates the role of remote display Protocol in behavioral biometric systems based on free-text keystroke dynamics. LÄS MER
4. Analysis and Comparison of Distributed Training Techniques for Deep Neural Networks in a Dynamic Environment
Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep learning models' prediction accuracy tends to improve with the size of the model. The implications being that the amount of computational power needed to train models is continuously increasing. Distributed deep learning training tries to address this issue by spreading the computational load onto several devices. LÄS MER
5. Financing Costs and Overhead Deduction in Cross-Border Transaction - A Requirement of EU Law?
Magister-uppsats, Lunds universitet/Institutionen för handelsrättSammanfattning : This Master thesis explores the EU law requirements for the taxation of the provision of cross-border services by the source state. As often the field of direct taxation, this is a delicate area where tension exists between the tax sovereignty of the Member States and the EU’s aim of the realization of an internal market. LÄS MER