Sökning: "mixed system"
Visar resultat 1 - 5 av 820 avhandlingar innehållade orden mixed system.
1. The Global Fashion System : On its social-ecological intertwinedness
Sammanfattning : The fashion industry contributes to shaping the state of the planet: impacts of production and consumption of textile fast-fashion are rising, and the growing number of sustainability-oriented actions have not slowed current trends. The industry’s (un)sustainability is mainly researched within two epistemic communities: fashion studies concerned with social sustainability, and circular economy focused on material biophysical and technological aspects of material cycles along the value chain. LÄS MER
2. Secure System Virtualization : End-to-End Verification of Memory Isolation
Sammanfattning : Over the last years, security-kernels have played a promising role in reshaping the landscape of platform security on embedded devices. Security-kernels, such as separation kernels, enable constructing high-assurance mixed-criticality execution platforms on a small TCB, which enforces isolation between components. LÄS MER
3. Design, analysis and integration of mixed-signal systems for signal and power integrity
Sammanfattning : .... LÄS MER
4. Nutrient cycling in agroecosystems: nitrogen cycling in southern Sweden in the 1850s and two Tanzanian villages in the 1990s
Sammanfattning : This study presents a general model for analysing nutrient cycling in agroecosystems. The focus is on food production intensity, human carrying capacity, sustainability and efficiency. The model can be used on systems including different kinds of land uses, which makes it applicable for studies on different scales. LÄS MER
5. Event-Driven Architectures for Heterogeneous Neuromorphic Computing Systems
Sammanfattning : Mixed-signal neuromorphic processors have brain-like organization and device physics optimized for emulation of spiking neural networks (SNNs), and offer an energy-efficient alternative for implementing artificial intelligence in applications where deep learning based on conventional digital computing is unfeasible or unsustainable. However, efficient use of such hardware requires appropriate configuration of its inhomogeneous, analog neurosynaptic circuits, with methods for sparse, spike-timing-based information encoding and processing. LÄS MER