Trepo - Selaus Tutkinto-ohjelman ja opintosuunnan mukaan
Viitteet 1-20 / 33
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3D city model validation using GNSS signals
(2020)
Diplomityö3D city models provide three-dimensional representation of city areas and are used in visualization, navigation, urban planning and many others. For example, they are employed in positioning algorithms such as shadow ... -
3D Semantic Mesh for Augmented Reality
(2020)
DiplomityöIn the augmented reality (AR) or robotics applications, it is important to enhance the perception of robots or users. In many AR applications, 3D spaces of both indoor and outdoor scenes are already available but usually ... -
An efficient system for online training of a seizure detection model-Epilepsy seizure detection
(2020)
DiplomityöThis thesis presents the advantages of a flexible, scalable machine learning system that can be merged into cloud systems. The ones capable of offering computer system resources over the internet. The main objective of the ... -
Analysis of User Exploration Patterns during Scene Cuts in Omnidirectional Videos
(2020)
DiplomityöVideo content is usually represented as a sequence of scenes joined together. Two adjacent scenes can share the same semantic content, similar to filming the scene from different angles, or they can describe semantically ... -
Camera System Characterization with Uniform Illuminate
(2020)
DiplomityöSmartphone camera performance is increasingly important to manufacturers and users, there are many camera technologies has progressed over the years, such as sensor innovation, novel lens design and powerful AI algorithm ... -
Cloud-Native Realization of Network Configuration Protocol
(2020)
DiplomityöMany of the telecommunication companies aim to support Network Configuration Protocol (NETCONF) to manage their large network in cloud-native environment. The NETCONF protocol provides automation and security using permanent ... -
Comparing clustering methods for mobile network root cause detection
(2020)
DiplomityöMobile networks represent a considerable industry globally and are known to rely on robust and highly reliable systems. As a consequence, faults in the system may induce a significant loss of credibility and revenues for ... -
Comparison between react native and native application development platform
(2020)
DiplomityöWith the increase in demand of smartphones globally, it is very important for the developers to know the development process of the mobile applications for different operating systems. One major problem for the development ... -
Deep Neural Networks for Image Denoising
(2020)
DiplomityöThis master thesis introduces non-local, learning based denoising methods and proposes a new method called FlashLight CNN for denoising gray-scale images corrupted by additive white Gaussian noise (AWGN). The proposed ... -
Design and development of an application to collect data from an Intelligent Information Management system
(2020)
Pro gradu -tutkielmaWhen software is released, it is common that the end-user will discover some issues while using the software. Issues can occur due to the software itself, data managed by the software, configurations, integrations, or the ... -
Design of an application for international students' participation in university development
(2020)
DiplomityöInternational students are the part and parcel of a University. Their participation for the develop-ment of a university is urgently required. Normally university provide different facilities to the stu-dents. How this ... -
Generating speech in different speaking styles using WaveNet
(2020)
Pro gradu -tutkielmaGenerating speech in different styles from any given style is a challenging research problem in speech technology. This topic has many applications, for example, in assistive devices and in human-computer speech interaction. ... -
Incremental Multi-Domain Learning with Domain-Specific Early Exits
(2020)
DiplomityöDeep learning architectures can achieve state-of-the-art results in several computer vision tasks. However, these methods are highly specialized, i.e., for every task from a new domain, an independent new model is required. ... -
Interactive Storytelling in the Context of Large Public Spaces
(2020)
DiplomityöStorytelling is a universal method to present information, which has been widely used throughout human history. It has been evolving into different forms, adapting to rapidly changing people’s needs and emerging visual ... -
Investigation of RF Fingerprinting approaches in GNSS
(2020)
DiplomityöWith the increase of emerging technologies, demand for location and positioning services is increasing in all domains of life. Currently there is an imperative need to protect and safeguard the authenticity and integrity ... -
Investigations of 5G localization with positioning reference signals
(2020)
DiplomityöTDOA is an user-assisted or network-assisted technique, in which the user equipment calculates the time of arrival of precise positioning reference signals conveyed by mobile base stations and provides information about ... -
IoT Network Performance
(2020)
DiplomityöThe scope of this thesis is to analyse the performance of an IoT Mesh network. This network is based on a wireless connectivity protocol called Wirepas Mesh. As a part of the Finnish national project called 5G-FORCE, a ... -
Joint image demosaicing, denoising and super-resolution
(2020)
Diplomityö -
Lightweight runtime and application interface for parallel job execution in AUTOSAR
(2020)
Pro gradu -tutkielmaIn recent years gains in processor performance have often been accomplished by increasing the number of processor cores. To benefit from this increase, software must be optimised to make use of the higher number of cores ...