Essays about: "dataströmmar"
Showing result 1 - 5 of 7 essays containing the word dataströmmar.
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1. Mapping DNNs onto the NoC Platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis uses an existing NoC simulation platform to construct a Network on Chip-based many-core system. The network is an 8_8 mesh topology. This thesis chooses LeNet5, ResNet, VGGNet, and AlexNet as the computing load, and tries to obtain a deep neural network mapping algorithm based on a NoC design method that can be widely used. READ MORE
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2. Occupancy detection and prediction with sensors and online machine learning : Case study of the Elmia exhibition building in Jönköping
University essay from KTH/ByggvetenskapAbstract : Buildings account for approximately 40% of energy consumption in the EU, and despite drastic increasing measures for energy efficient operation, the net value of energy consumption is expected to continue increasing because ofincreasing urbanization.While there has been increasing work done on managing external loads such as adapting to unpredictable climates, the research on internal loading, such as occupants, is still nascent. READ MORE
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3. Deep Multiple Description Coding for Semantic Communication : Theory and Practice
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the era of wirelessly connected Internet of Things (IoT) devices on the horizon, eective data processing algorithms for IoT devices are of increasing importance. IoT devices often have limited power and computational resources, making data processing on the device unfeasible. READ MORE
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4. Detecting anomalies in data streams driven by ajump-diffusion process
University essay from Umeå universitet/Institutionen för fysikAbstract : Jump-diffusion processes often model financial time series as they can simulate the random jumps that they frequently exhibit. These jumps can be seen as anomalies and are essential for financial analysis and model building, making them vital to detect. READ MORE
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5. Experimental Study on Machine Learning with Approximation to Data Streams
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Realtime transferring of data streams enables many data analytics and machine learning applications in the areas of e.g. massive IoT and industrial automation. Big data volume of those streams is a significant burden or overhead not only to the transportation network, but also to the corresponding application servers. READ MORE