Sökning: "online computation"
Visar resultat 6 - 10 av 34 avhandlingar innehållade orden online computation.
6. Computation of Autonomous Safety Maneuvers Using Segmentation and Optimization
Sammanfattning : This thesis studies motion planning for future autonomous vehicles with main focus on passenger cars. By having automatic steering and braking together with information about the environment, such as other participants in the traffic or obstacles, it would be possible to perform autonomous maneuvers while taking limitations of the vehicle and road–tire interaction into account. LÄS MER
7. Computationally Efficient and Adaptive Energy Management Strategies for Parallel Hybrid Electric Vehicles
Sammanfattning : Hybrid electric vehicles (HEVs) are irreplaceable in attaining sustainable development in contemporary society. Owing to the extra degree of freedom in supplying traction power, HEVs resort to appropriate energy management strategies (EMSs) to present their superiority over conventional internal combustion engine vehicles and pure electric vehicles. LÄS MER
8. Scalable Machine Learning through Approximation and Distributed Computing
Sammanfattning : Machine learning algorithms are now being deployed in practically all areas of our lives. Part of this success can be attributed to the ability to learn complex representations from massive datasets. LÄS MER
9. A High-end Reconfigurable Computation Platform for Particle Physics Experiments
Sammanfattning : Modern nuclear and particle physics experiments run at a very high reaction rate and are able to deliver a data rate of up to hundred GBytes/s. This data rate is far beyond the storage and on-line analysis capability. Fortunately physicists have only interest in a very small proportion among the huge amounts of data. LÄS MER
10. Performance Optimization Techniques and Tools for Data-Intensive Computation Platforms : An Overview of Performance Limitations in Big Data Systems and Proposed Optimizations
Sammanfattning : Big data processing has recently gained a lot of attention both from academia and industry. The term refers to tools, methods, techniques and frameworks built to collect, store, process and analyze massive amounts of data. Big data can be structured, unstructured or semi-structured. LÄS MER