Search results for "luokitus"
showing 10 items of 48 documents
Kuntoutuslaitosten moniammatillisten työryhmien käsityksiä ICF-luokituksesta : fenomenografinen tutkimus
2014
Pro gradu -tutkielman tarkoituksena oli selvittää, miten ICF-luokitus on juurtunut kuntoutuslaitosten moniammatillisten työryhmien käyttöön. Aihe on ajankohtainen, koska ICF-luokitus on ollut pitkään kuntoutuslaitosten työntekijöiden tietoisuudessa, mutta se ei ole siirtynyt käytännön työelämään. Myöskään ICF-luokituksen käyttöönottoa ja ICF-koulutusta ei ole juuri tutkittu. Kuntoutusprosessiin sidoksissa olevien käsitteiden yhtenäistäminen ICF-luokituksen avulla voisi edistää tiedon välittymistä helpottaen sekä ammattiryhmien välistä kommunikointia että asiakkaan ymmärrystä tilanteestaan. Tutkimuksen kohteena olivat kuntoutuslaitosten moniammatillisten työryhmien jäsenten käsi-tykset ICF-l…
HRM models of online labor platforms : Strategies of market and corporate logics
2023
Studies on online labor platforms (OLPs) have revealed that OLPs can have extensive managerial control over independent workers, which affects their autonomy and precariousness. The permeability of the management makes some OLPs' roles as neutral intermediaries in labor exchanges questionable. While there are several platform work studies on the effects of human resource management (HRM) activities, earlier studies have focused more on certain types of OLP companies. Earlier OLP classifications did not make systematic distinctions between HRM activities either. This paper offers a classification to view how HRM activities manifest in OLPs. The study utilizes terms of service and webpage dat…
Multilayer perceptron training with multiobjective memetic optimization
2016
Machine learning tasks usually come with several mutually conflicting objectives. One example is the simplicity of the learning device contrasted with the accuracy of its performance after learning. Another common example is the trade-off that must often be made between the rate of false positive and false negative predictions in diagnostic applications. For computer programs that learn from data, these objectives are formulated as mathematical functions, each of which describes one facet of the desired learning outcome. Even functions that intend to optimize the same facet may behave in a subtly different and mutually conflicting way, depending on the task and the dataset being examined. Mul…
Spectral imaging from UAVs under varying illumination conditions
2013
Abstract. Rapidly developing unmanned aerial vehicles (UAV) have provided the remote sensing community with a new rapidly deployable tool for small area monitoring. The progress of small payload UAVs has introduced greater demand for light weight aerial payloads. For applications requiring aerial images, a simple consumer camera provides acceptable data. For applications requiring more detailed spectral information about the surface, a new Fabry-Perot interferometer based spectral imaging technology has been developed. This new technology produces tens of successive images of the scene at different wavelength bands in very short time. These images can be assembled in spectral data cubes wit…
Feature selection for classification of music according to expressed emotion
2009
Luontoarvojen ennustaminen ja huomiointi maankäytön suunnittelussa päiväperhosten (Hesperioidea, Papilionoidea) avulla
2011
What makes segmentation good? A case study in boreal forest habitat mapping
2013
Segmentation goodness evaluation is a set of approaches meant for deciding which segmentation is good. In this study, we tested different supervised segmentation evaluation measures and visual interpretation in the case of boreal forest habitat mapping in Southern Finland. The data used were WorldView-2 satellite imagery, a lidar digital elevation model (DEM), and a canopy height model (CHM) in 2 m resolution. The segmentation methods tested were the fractal net evolution approach (FNEA) and IDRISI watershed segmentation. Overall, 252 different segmentation methods, layers, and parameter combinations were tested. We also used eight different habitat delineations as reference polygons agains…
Semantics of Voids within Data: Ignorance-Aware Machine Learning
2021
Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, known, and understood) samples of data aiming to build a model (e.g., a classifier) to handle data samples that are not yet observed, known, or understood. These tools traditionally take semantically labeled samples of the available data (known facts) as an input for learning. We want to challenge the indispensability of this approach, and we suggest considering the things the other way around. What if the task would be as follows: how to buil…
Osallistavaan ohjaukseen osallistuminen : oppilaiden ja huoltajien toiveet ohjaukselle
2016
Pro gradu –tutkielmassani selvitän Tervareitti –hankkeeseen osallistuvien oppilaiden ja heidän huoltajien toiveita hankkeesta saatavalle ohjaukselle. Tervareitti –hanke toimii Valteri -koulu Tervaväylän alaisuudessa ja sen tavoitteena on kehittää osallistava toimintamalli yläkouluikäisten ohjaukseen peruskoulun siirtymävaiheeseen. Tutkimukseni taustateoria muodostuu Tervareitti –hankkeessa käytettävän ICF-toimintakykyluokituksen pohjalta muodostetuista f-sanoista. Nämä f-sanat ovat 1) function eli toiminta, 2) family eli perhe, 3) fitness eli kunto, 4) fun eli hauskanpito, 5) friends eli ystävät ja 6) future eli tulevaisuus. Tutkimukseni aineistonkeruu tapahtui teemahaastattelujen avulla. H…