Essays about: "HTTP based streaming"

Showing result 1 - 5 of 313 essays containing the words HTTP based streaming.

1. 1. Code Synthesis for Heterogeneous Platforms

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

   Author : Zhouxiang Fu; [2023]
   Keywords : Code Synthesis; Heterogeneous Platform; Zero-Overhead Topology Infrastructure; Kodsyntes; Heterogen plattform; Zero-Overhead Topologi Infrastruktur;

   Abstract : Heterogeneous platforms, systems with both general-purpose processors and task-specific hardware, are largely used in industry to increase efficiency, but the heterogeneity also increases the difficulty of design and verification. We often need to wait for the completion of all the modules to know whether the functionality of the design is correct or not, which can cause costly and tedious design iteration cycles. READ MORE

3. 2. Digital Front End Algorithms for Sub-Band Full Duplex

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

   Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
   Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

   Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE

4. 3. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

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

   Author : Niklas Barth; [2023]
   Keywords : Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

   Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE

5. 4. Performance of message brokers in event-driven architecture: Amazon SNS/SQS vs Apache Kafka

   University essay from KTH/Hälsoinformatik och logistik

   Author : Johan Edeland; Ivan Zivkovic; [2023]
   Keywords : event-based architecture; message broker; latency testing; load testing; data streaming; cloud; backend; Apache Kafka; Amazon Simple Queue Service; Amazon Simple Notification Service; händelsedriven arkitektur; meddelandebuss; latenstestning; lasttestning; data strömning; moln; backend; Apache Kafka; Amazon Simple Queue Service; Amazon Simple Notification Service;

   Abstract : Microservice architecture, which involves breaking down applications into smaller and loosely coupled components, is becoming increasingly common in the development of modern systems. Connections between these components can be established in various ways. READ MORE

6. 5. Recommender Systems Using Limited Dataset Sizes

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

   Author : Carl Bentzer; Harry Thulin; [2023]
   Keywords : ;

   Abstract : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. READ MORE