Sökning: "Objective possibility"
Visar resultat 1 - 5 av 236 avhandlingar innehållade orden Objective possibility.
- Detta är en avhandling från Uppsala University, Uppsala
Sammanfattning : Max-Weber's methodological essays, published-posthumously as Gesammelte Aufsätze zur Wissenschaftslehre, continue to attract scholarly attention. They also continue to pose formidable problems to a modern reader. LÄS MER
- Detta är en avhandling från Jönköping : Jönköping University, School of Engineering
Sammanfattning : As a result of the increase in accessibility of computational resources and the increase in the power of the computers during the last two decades, designers are able to create computer models to simulate the behavior of a complex products. To address global competitiveness, companies are forced to optimize their designs and products. LÄS MER
- Detta är en avhandling från Stockholm : KTH
Sammanfattning : When driving a vehicle on the road, the driver has to compensate continuously for small directional deviations from the desired course due to disturbances such as crosswinds, road irregularities and unintended driver inputs. These types of deviations have a tiring effect on the driver and should therefore be minimised. LÄS MER
- Detta är en avhandling från Stockholm : KTH Royal Institute of Technology
Sammanfattning : Sports engineering can be considered as the bridge between the knowledge of sports science and the principles of engineering and has an important role not only in improving the athletic performance, but also in increasing the safety of the athletes. Testing and optimization of sports equipment and athletic performance are essential for supporting athletes in their quest to reach the podium. LÄS MER
- Detta är en avhandling från Luleå : Luleå University of Technology
Sammanfattning : Artificial intelligence (AI) is one of the fields in science and engineering and encompasses a wide variety of subfields, ranging from general areas (learning and perception) to specific topics, such as mathematical theorems. AI and, specifically, multi-objective genetic algorithms (MOGAs) for risk-based life cycle cost (LCC) analysis should be performed to estimate the optimal replacement time of tunnel fan systems, with a view towards reducing the ownership cost and the risk cost and increasing company profitability from an economic point of view. LÄS MER