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Image Processing Using Dataflow Techniques
(2017)
Diplomityö
Diplomityö
Corner detection is an important task in digital image processing. Corner detection algorithms are widely used in pattern recognition, image mosaicing, motion detection, etc. The implementations of such algorithm in ...
Reliability Testing on Wearable Textile-Based UHF RFID Tags
(2017)
Diplomityö
Diplomityö
Due to their huge future potential in identification, monitoring, and sensor applications, textile-integrated radio-frequency identification (RFID) tags have been an active topic of research during the recent years. A ...
Analysis and Comparison of Modern Video Compression Standards for Random-access Light-field Compression
(2017)
Diplomityö
Diplomityö
Light-field (LF) 3D displays are anticipated to be the next-generation 3D displays by providing smooth motion parallax, wide field of view (FOV), and higher depth range than the current autostereoscopic displays. The ...
Optimization criteria for joint communication and positioning networks
(2017)
Diplomityö
Diplomityö
The current mobile system, namely 4G, has limitations in applications where low latency and high data rates are needed. In addition, new applications require a very precise user positioning, which 4G is not able to provide ...
Bookmarking and Seeking Tool for Online Videos
(2017)
Diplomityö
Diplomityö
At 2014, 66% of internet traffic was related to video content [1]. This number and everyday experience shows that by improving handheld device capabilities, social networks and internet speed, the video content which has ...
Recurrent Neural Networks for Modeling Motion Capture Data
(2017)
Diplomityö
Diplomityö
This thesis introduces a Recurrent Neural Network (RNN) framework as a generative model for synthesizing human motion capture data. The skeleton model of the data used is a complex human skeleton model with 64 joints, ...
Predictive model for breast cancer sub-stage classification
(2017)
Diplomityö
Diplomityö
Prediction accuracy of sub-stage classification varies with different staging methods of breast-cancer. In this Master’s thesis we investigate whether there are differences in the performance of machine learning models ...
Dynamic Resource allocation in Millimeter wave technology
(2017)
Diplomityö
Diplomityö
In this project, dynamic resource allocation in millimeter wave system that holds the effect of millimeter-wave. It also gives the understanding of directivity of antennas as transmitter and receiver side. In addition to ...
Investigations of outdoor mobility patterns of taxicabs in urban scenarios
(2017)
Diplomityö
Diplomityö
This thesis investigates various outdoor mobility patterns of taxicabs in urban environments based on open-data real traces and it proposes a suitable outdoor mobility model to fit the provided measurement data. This thesis ...
Autoregressive model based on a deep convolutional neural network for audio generation
(2017)
Diplomityö
Diplomityö
The main objective of this work is to investigate how a deep convolutional neural network (CNN) performs in audio generation tasks. We study a final architecture based on an autoregressive model of deep CNN that operates ...