Sökning: "Testbäddar"
Visar resultat 1 - 5 av 9 uppsatser innehållade ordet Testbäddar.
1. Optimization of the Cloud-Native Infrastructure using Artificial Intelligence
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : To test Cloud RAN applications, such as the virtual distributed unit (vDU) and centralized virtual unit (vCU), a test environment is required, commonly known as a “test bed” or “test channel”. This test bed comprises various cloudnative infrastructures, including different hardware and software components. LÄS MER
2. Controller Design for a Gearbox Oil ConditioningTestbed Through Data-Driven Modeling
Master-uppsats, KTH/Maskinkonstruktion (Inst.)Sammanfattning : With the exponential development of more sustainable automotive powertrains, new gearbox technologies must also be created and tested extensively. Scania employs dynamometer testbeds to conduct such tests, but this plethora of new and rapidly developed gearboxes pose many problems for testbed technicians. LÄS MER
3. Kartläggning av bioproduktion i Sverige : Behov, hinder och drivkrafter
Kandidat-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : The market for drugs and treatments using biological products is rapidly growing. This is mainly due to the great potential that biological products have in comparison to traditional drugs. Biological products are composed of bigger molecules such as proteins and antibodies, and therefore allow a much more specific treatment. LÄS MER
4. A scalable web-based system handling sensor data from smart homes
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A smart home is a building equipped with sensors collecting data about its environment. Data collected from smart home buildings can be used for research to improve home automation and develop smart cities. A scalable web-based system can be used to handle the large quantities of data generated from smart homes. LÄS MER
5. Explainable AI - Visualization of Neuron Functionality in Recurrent Neural Networks for Text Prediction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Artificial Neural Networks are successfully solving a wide range of problems with impressive performance. Nevertheless, often very little or nothing is understood in the workings behind these black-box solutions as they are hard to interpret, let alone to explain. LÄS MER