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A Distributed IoT Microservice using a Custom Ethereum Based Security Protocol
(2021)
With the mass expansion of Internet of Things (IoT) in industry and consumer life, IoT security has become a focal point of research and development. New technologies are enabling unprecedented methods of developing and ...
Predict patient deterioration in hospital's general ward
(2020)
Increasing amount of patient monitoring data is available in hospitals in an electronic format. Patient data is mostly available from hospital departments which provide intensive treatment, but wireless and wearable sensors ...
Topic Modeling of StormFront Forum Posts
(2021)
The research of radical communities is crucial for preventing violent actions and affecting the community to avoid further radicalisation. In this thesis, we propose a way to analyse semantic topics which were assessed on ...
Scheduling of preventive maintenance using prognostic models - A case study on elevator doors
(2020)
Aim of this thesis is to research how maintenance process of elevator doors can be optimised. To this end, a business goal is set. It is to decrease the amount of unplanned maintenance visits caused by door malfunctions. ...
Bid Shading In First-Price Real-Time Bidding Auctions
(2019)
Online advertisements can be bought through a mechanism called real-time bidding (RTB). In RTB the ads are auctioned in real time on every page load. The ad auctions can be second-price or first-price auctions. In ...
Operational State Recognition of a Rotating Machine Based on Measured Mechanical Vibration Data
(2021)
Digital twin is a relatively new concept. Also, it lacks a formal definition and can be applied in virtually any field of technology. Considering digital twins of rotating machines, and especially the in-service phase of ...
Prediktering av kryptovalutor med återkommande neuronnät
(2020)
Inom de senaste åren har det utvecklats en massa tillämpningar, ramverk och verktyg för att lösa olika problem inom djupinlärning. Nya tekniker i maskininlärning och speciellt algoritmer inom djupinlärning introducerar ...
Designing a Data Platform Consolidation: A Case Study
(2020)
This thesis focuses on gathering the necessary information to be able to design a consolidation of data use cases between the different data platforms, and also proposes a possible future solution for the data platforms. ...
IoT i Gör Det Själv utrymmen
(2020)
Den växande populariteten i IoT, har resulterat i en stor mängd diverse verktyg, som kan utnyttjas för att få maskiner att kommunicera och utbyta information över internet. Den växande mängden av höghus betyder att allt ...
Planering och implementering av rapporter till programvaran Granlund Manager
(2019)
Arbetet beskriver planeringen och utvecklingen av ett nytt rapporteringssystem till pro-gramvaran Granlund Manager. Planeringen består av en kravanalys där man samlar in företagets och kunders krav. Detta görs för att få ...