Search for dissertations about: "Information Engineering Computer Systems"

Showing result 16 - 20 of 1516 swedish dissertations containing the words Information Engineering Computer Systems.

2. 16. Cyber-Physical Engineering of Distributed Automation Systems in Energy Domain

   Author : Chen-Wei Yang; Valeriy Vyatkin; Evgeny Osipov; Nirmal Nair; Luleå tekniska universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Dependable Communication and Computation Systems; Kommunikations- och beräkningssystem;

   Abstract : The main focus of this thesis is in the domain of Energy Systems, specifically in the engi-neering of modern Smart Grid (SG) automation systems. The SG has been categorizedas a Cyber-Physical System (CPS), a complex system which exhibits tight integration between the cyber and the physical processes and their interactions in a networked envi-ronment. READ MORE

4. 17. Design of Energy-Efficient High-Performance ASIP-DSP Platforms

   Author : Andréas Karlsson; Dake Liu; Andreas Ehliar; Jarmo Takala; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Abstract : In the last ten years, limited clock frequency scaling and increasing power density has shifted IC design focus towards parallelism, heterogeneity and energy efficiency. Improving energy efficiency is by no means simple and it calls for a reevaluation of old design choices in processor architecture, and perhaps more importantly, development of new programming methodologies that exploit the features of modern architectures. READ MORE

5. 18. Introducing Continuous Experimentation on Resource-Constrained Cyber-Physical Systems

   Author : Federico Giaimo; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cyber-Physical Systems; Continuous Experimentation; Software Engineering;

   Abstract : Software is ubiquitous and shapes our world, but at the same time it can be viewed as a plastic resource offering the possibility to be improved even after its deployment to better serve its purpose. Exploiting this possibility, the Continuous Experimentation practice is gaining momentum on connected software-intensive web-based systems, allowing the product owners to deploy "experiments" on their software systems, i. READ MORE

6. 19. Sampling Based Motion Planning for Heavy Duty Autonomous Vehicles

   Author : Niclas Evestedt; Daniel Axehill; Fredrik Gustafsson; Svante Gunnarsson; Linköpings universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Abstract : The automotive industry is undergoing a revolution where the more traditional mechanical values are replaced by an ever increasing number of Advanced Driver Assistance Systems (ADAS) where advanced algorithms and software development are taking a bigger role. Increased safety, reduced emissions and the possibility of completely new business models are driving the development and most automotive companies have started projects that aim towards fully autonomous vehicles. READ MORE

7. 20. Multi-LSTM Acceleration and CNN Fault Tolerance

   Author : Stefano Ribes; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Compression; SVD; LSTMs; CNNs; Fault Tolerance; Machine Learning; FPGA; Roofline Model; HLS; Caffe;

   Abstract : This thesis addresses the following two problems related to the field of Machine Learning: the acceleration of multiple Long Short Term Memory (LSTM) models on FPGAs and the fault tolerance of compressed Convolutional Neural Networks (CNN). LSTMs represent an effective solution to capture long-term dependencies in sequential data, like sentences in Natural Language Processing applications, video frames in Scene Labeling tasks or temporal series in Time Series Forecasting. READ MORE