Search for dissertations about: "Jerker Delsing"
Showing result 16 - 20 of 27 swedish dissertations containing the words Jerker Delsing.
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16. Autonomic Management of System of Systems Security
Abstract : The digitalization of manufacturing industry and the profound reliance on interconnected System of Systems (SoS) is demanding for innovative solutions that can handle production processes, while making use of the new data that is being generated by various connected devices. Innovations based on collecting, evaluating, and using this data can improve existing processes and create new business models. READ MORE
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17. Machine Learning Concepts for Service Data Interoperability
Abstract : Industrial automation is transforming by ongoing digitalization efforts to create a flexible industrial internet of things, turning manufacturing facilities into large-scale systems of cyber-physical systems. This development requires addressing the challenging issue of making heterogeneous systems, data models, and standards interoperable, a core problem in designing sustainable service-oriented automation frameworks. READ MORE
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18. Event-Driven Architectures for Heterogeneous Neuromorphic Computing Systems
Abstract : 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. READ MORE
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19. Using Inhomogeneous Neuronal–Synaptic Dynamics for Spatiotemporal Pattern Recognition in Neuromorphic Processors
Abstract : Mixed-signal neuromorphic processors emulate the electrochemical dynamics of neurons and synapses using conventional analog CMOS-transistor technology and have potential for ultra-low-power machine learning and inference. However, the energy-efficiency of such systems is dependent on sparse, time-based information encoding and processing, and they are, furthermore, subject to imprecision from “device mismatch” in the analog circuitry. READ MORE
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20. New Methods for Metering Quality Assurance in Natural Gas Grids
Abstract : .... READ MORE