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Predictive maintenance for Valmet's breast roll shaker
(2019)
Digitalization and the Industrial Internet of Things (IIoT) enables the collection and analysis of vast amounts of data. Big data is often not utilized optimally, especially when regarding the condition and maintenance of ...
Data analytics for predictive maintenance in a pulp mill : case electric motors
(2018)
Industry is going through the fourth industrial revolution, as sensors and devices in industrial
sites are being connected to the Internet. The collected data can be refined with
machine learning and data analytics to ...
Detection of cracks: Acoustic experiments on multilayer ceramic capacitors
(2018)
In this thesis, it is shown that damaged Multilayer Ceramic Capacitors (MLCCs) can be acoustically identified in a non-destructive manner. This is done by utilizing the piezoelectric behavior of the ceramic dielectric, ...
Truck dock assignment with sequential stops in continuous demand process
(2019)
The purpose of this study is to develop a practical solution to a truck dock assignment problem specific to manufacturing industry inbound articles reception. In this article a variant of Branch-and-Bound algorithm was ...
Utilization of robotic process automation in enterprise resource planning
(2019)
Organizations have started to utilize robotic process automation more on their business and many processes in enterprise resource planning systems have been or will be automatized. Since some companies do not have any ...
Energy management optimization with battery and solar panels in Finnish electricity market
(2019)
Energy management is an important topic in modern smart grids. Energy management strategies allow to reduce the electrical consumption of microgrid from macrogrid and smooth the graphic of electricity consumption and thus ...
Data center energy efficiency assessment based on real data analysis
(2019)
This work covers energy efficiency analysis of Data Center (DC) operations. DCs empower a wide variety of applications and enhance decision making processes. Having such a crucial role in the modern life, DCs remain large ...
Improving content marketing performance measurement
(2019)
The aim of this thesis is to examine how current practices of content marketing performance measurement are done at the case company and how reporting process could be improved. New reporting dashboard is created as part ...
Weakly supervised learning for retinal lesion detection
(2019)
Diabetic retinopathy (DR), a complication of long-term diabetes, is a common cause of visual impairment. Accurate detection of the lesions in retinal images is crucial for its opportune prevention in clinical practice. ...
Avoimen lähdekoodin Business Intelligence -ratkaisun toimivuus valmistusalan pk-yrityksessä
(2018)
Tapaustutkimusyritys halusi ymmärtää Business Intelligence (BI) järjestelmänsä käyttöä ja sen mahdollisia tulevaisuuden kehityssuuntia. Tutkimus toteutettiin haastattelemalla järjestelmän käyttäjiä. Käyttäjien mielestä ...