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Trend Analysis in AI Research over time Using NLP Techniques
(2019)
Kandidaatintyö
Kandidaatintyö
The dramatic rise in the number of publications in machine learning related studies poses a challenge for companies and new researchers when they want to focus their resources effectively. This thesis aims to provide an ...
Automated clustering of perturbation-induced quantum scars
(2018)
Kandidaatintyö
Kandidaatintyö
Some of high-energy eigenstates of a highly disordered quantum system are strongly scarred by periodic orbits of the unperturbed classical counterpart. Detecting these scars has thus far relied on a researcher to go through ...
Indoor positioning and ZigBee - A study of ZigBee technology and it’s feasibility in indoor positioning
(2019)
Kandidaatintyö
Kandidaatintyö
Sisätilapaikannus, kotiautomaatio ja sensoriverkot yleistyvät nykyajan yhteiskunnassa. ZigBee on lyhyen matkan langaton verkkoteknologia, jota yleisesti käytetään juuri langattomissa sensori- ja kotiautomaatioverkoissa. ...
Cross-Platform Mobile Application Development with React Native
(2019)
Kandidaatintyö
Kandidaatintyö
Developing and maintaining mobile applications for multiple platforms at the same time can be time consuming. Since the applications have to be developed with each platform’s native development technologies, the software ...
Comparison of RSA and Elliptic Curve Cryptosystems
(2018)
Kandidaatintyö
Kandidaatintyö
The thesis was a literary review of two public key cryptosystems, RSA and elliptic curve cryptosystem (ECC). Its main focus was on their key generation as well as their use in key exchange and digital signatures, looking ...
Property systems in graphics frameworks
(2019)
Kandidaatintyö
Kandidaatintyö
A property system is a concept about having special class members, properties, in an object oriented programming language. Properties can be classified to partially implement reflection, which represents the program’s ...
Scaled Agile Frameword from The Perspective of Security Engineering
(2018)
Kandidaatintyö
Kandidaatintyö
Shared world illusion in networked videogames
(2018)
Kandidaatintyö
Kandidaatintyö
This thesis aims to discover pivotal points of maintaining shared world illusion in networked videogames. The paper was inspired by huge amount of games that include multiplayer components, even if it does not fit thematically. ...
Deep learning-based object detection with point cloud data
(2018)
Kandidaatintyö
Kandidaatintyö
Deep convolutional neural networks (CNNs) are used in various tasks, especially in classification and object detection in two-dimensional images. In this work, two deep convolutional neural networks were experimented for ...