Search results for "Erk"
showing 10 items of 2599 documents
Kouluyritysyhteistyön verkostotyöskentelyn periaatteita
2001
Tilaus-toimitusverkoston kehittämismahdollisuudet : staattisista tilaus-toimitusketjuista kohti dynaamisia virtuaaliorganisaatioita
2004
Prosessuaalisen toiminnan teoria : puitteistuneen toimijuuden pragmatistinen kuvaus
2006
PACKET SCHEDULING AND PRICING BASED ON INFLICTED DELAY
2006
An adaptive packet scheduling method is presented in this paper. The adaptive weights of a scheduler are chosen based on maximizing the revenue of the network service provider. The pricing scenario is based on the delay that a connection will inflict to other connections. The features of the adaptive weight updating algorithm are simulated, analyzed and compared to a constant weight algorithm. peerReviewed
Kielen oppimisen virtauksia
2015
Ongelmista oppimiseen : toisen aloittamat korjausjaksot kakkoskielisessä keskustelussa
2010
Sananselittäminen historian valmistavan kurssin oppitunneilla
2006
Dialogical view on learner agency of immigrant pupils : a case study of the learners of Finnish as L2
2022
This study explores the dialogical nature of agency when two immigrant pupils, who are learning Finnish as their new target language, are authoring their selves. Bakhtin’s dialogism was the inspiration for this examination of the discourses that surround the L2 pupils’ agency and how they respond to discourses through their agency. Ethnographically oriented data collection included classroom observations, the pupils’ portfolios, and interviews with the pupils (as main participants) and meaningful adults. These data yielded a set of narratives from multiple voices. The results show that the pupils negotiate more subjective meanings of their selves, and re-color them with their internal goals…
Anonymization as homeomorphic data space transformation for privacy-preserving deep learning
2021
Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…