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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 ...
Markkinointidatan tutkiminen muuttujanvalintamenetelmää ja luokittelualgoritmia käyttäen
(2019)
Tämän kandidaatintyön tavoitteena oli tehdä markkinointidatasta ennustemalli, jolla voidaan ennustaa, kannattaako tietylle kohderyhmälle lähteä markkinoimaan. Oleellista oli myös löytää aineistosta ongelman kannalta ...
Characterization and testing of novel single core phosphate fibers
(2019)
This work is devoted to the study of novel optical fibers doped with Er3+ ions. Fibers were drawn from the phosphate glasses with different compositions. One of the optical fibers was drawn from a heat-treated preform in ...
CFD-based optimization for wind turbine locations in a wind park
(Lappeenranta-Lahti University of Technology LUT, 2019-05-10)
Searching for the optimal positions of wind turbines in a wind farm for their maximal power generation has an important and difficult role in the wind energy industry. Several factors have to be considered while designing ...
Modeling of magnetic field distribution and optimization of a magnetron for magnetron sputtering technology
(2019)
Current work focuses on applications of computer simulations for design optimization of a magnetron sputtering source. In order to perform the optimization, a program was written that allows to model all stages of magnetron ...
Sähkön säätöhinnan ennustaminen
(2019)
Kandidaatintyön tavoitteena oli luoda algoritmi, jolla voidaan mallintaa ja ennustaa pohjoismaisilla sähkömarkkinoilla säätöhinnan suuntaa. Säätöhinnan suuntaa ennustamalla sähkömarkkinoista voidaan saada vakaampia sekä ...
The linguistic approximation of fuzzy models outputs
(Lappeenranta-Lahti University of Technology LUT, 2019-11-29)
Linguistic approximation is a process of assigning linguistic labels to various mathematical objects, frequently ones that are obtained as outputs of fuzzy models. Such an assignment cannot be arbitrary – the usual requirement ...
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. ...
Structural and interparticle interactions in the model systems of natural brines
(2019)
This study is dedicated to dynamics and structures of the water-based multicomponent solutions studied at wide temperature and concentration ranges. Since the scientific interest towards aqueous solutions has been shared ...
Time series clustering by extracted features
(2019)
Clustering electricity consumers can give insight into how a particular consumption profile is related to other attributes of the customer, for example the residence size or whether a sauna is in use or not. Furthermore, ...