Haku
Viitteet 11-20 / 27
Comparing clustering methods for mobile network root cause detection
(2020)
Diplomityö
Diplomityö
Mobile 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 ...
3D Semantic Mesh for Augmented Reality
(2020)
Diplomityö
Diplomityö
In 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 ...
Time- and frequency-asynchronous aloha for ultra narrowband communications
(2020)
Diplomityö
Diplomityö
A low-power wide-area network (LPWAN) is a family of wireless access technologies which consume low power and cover wide areas. They are designed to operate in both licensed and unlicensed frequency bands. Among different ...
Optimizing the Efficiency of the Data Analytics Framework Using Microservice Architecture
(2020)
Diplomityö
Diplomityö
This thesis describes the backend of the new data analytics framework that has been designed and developed for the new reporting feature of Cloubi. Cloubi is a web application used for creating and distributing learning ...
Cloud-Native Realization of Network Configuration Protocol
(2020)
Diplomityö
Diplomityö
Many 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 ...
Persuasive Design for Near Home Tourism
(2020)
Pro gradu -tutkielma
Pro gradu -tutkielma
Secure Lifecycle Management of BLE Nodes
(2020)
Diplomityö
Diplomityö
Aiming the novel applications in the healthcare, fitness, beacons, security, and home entertainment industries Bluetooth Special Interest Group (Bluetooth SIG) has designed and marketed a low power personal area ...
Unsupervised Domain Adaptation for Audio Classification
(2020)
Pro gradu -tutkielma
Pro gradu -tutkielma
Machine learning algorithms have achieved the state-of-the-art results by utilizing deep neural networks (DNNs) across different tasks in recent years. However, the performance of DNNs suffers from mismatched conditions ...
Camera System Characterization with Uniform Illuminate
(2020)
Diplomityö
Diplomityö
Smartphone 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 ...