Search results for "mallintaminen"
showing 10 items of 128 documents
Dynaamisen jakeluketjun ja komponenttipohjaisen liiketoimintamallinnuksen soveltuvuuden vertailu verkostossa toimivan yrityksen organisaation kehittä…
2008
Testing a spectral-based feature set for audio genre classification
2011
Automatic musical genre classification is an important information retrieval task since it can be applied for practical purposes such as the organization of data collections in the digital music industry. However, this task remains an open question because the current state of the art shows far from satisfactory outcomes in terms of classification performance. Moreover, the most common algorithms that are used for this task are not designed for modelling music perception. This study suggests a framework for testing different musical features for use in music genre classification and evaluates the performance of this task based on two musical descriptors. The focus of this study is on automa…
Sovellusaluekeskeinen ohjelmistokehitys ja visuaalinen sovellusaluekieli rahaston arvonlaskentaprosessin mallintamiseksi
2008
Yritysontologioiden mallintaminen ja vertailu
2007
Best Practices in Constant pH MD Simulations: Accuracy and Sampling
2022
Various approaches have been proposed to include the effect of pH in molecular dynamics (MD) simulations. Among these, the λ-dynamics approach proposed by Brooks and co-workers [Kong, X.; Brooks III, C. L. J. Chem. Phys.1996, 105, 2414−2423] can be performed with little computational overhead and hfor each typeence be used to routinely perform MD simulations at microsecond time scales, as shown in the accompanying paper [Aho, N. et al. J. Chem. Theory Comput.2022, DOI: 10.1021/acs.jctc.2c00516]. At such time scales, however, the accuracy of the molecular mechanics force field and the parametrization becomes critical. Here, we address these issues and provide the community with guidelines on…
Bayesian semiparametric long memory models for discretized event data
2020
We introduce a new class of semiparametric latent variable models for long memory discretized event data. The proposed methodology is motivated by a study of bird vocalizations in the Amazon rain forest; the timings of vocalizations exhibit self-similarity and long range dependence. This rules out Poisson process based models where the rate function itself is not long range dependent. The proposed class of FRActional Probit (FRAP) models is based on thresholding, a latent process. This latent process is modeled by a smooth Gaussian process and a fractional Brownian motion by assuming an additive structure. We develop a Bayesian approach to inference using Markov chain Monte Carlo and show g…
Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values
2022
Missing data are unavoidable in the real-world application of unsupervised machine learning, and their nonoptimal processing may decrease the quality of data-driven models. Imputation is a common remedy for missing values, but directly estimating expected distances have also emerged. Because treatment of missing values is rarely considered in clustering related tasks and distance metrics have a central role both in clustering and cluster validation, we developed a new toolbox that provides a wide range of algorithms for data preprocessing, distance estimation, clustering, and cluster validation in the presence of missing values. All these are core elements in any comprehensive cluster analy…
Context-aware web service composition
2006
Verkkopalvelun muodostaminen on merkittävä ongelma nykyisten hajautettujen laskentajärjestelmien ja teknologioiden evoluutiossa, erityisesti WWW-ympäristöissä. Ongelman ratkaiseminen mahdollistaisi sähköisten palvelujen laadun, käytettävyyden ja joustavuuden kasvun. Tästä hyötyisivät sekä palvelun tarjoajat että käyttäjät.Dmytro Zhovtobryukh luo väitöskirjassaan kattavan ratkaisun verkkopalveluiden muodostamisongelmaan. Hän keskittyy erityisesti ongelmanratkaisun menetelmälliseen näkökulmaan yrittäen rakentaa yleisen tavan palveluiden muodostamiseen sitomatta ratkaisua pelkästään tiettyyn konkreettiseen joukkoon väliohjelmistoja ja tiedonesitysstandardeja. Zhovtobryukhin työ on palveluorien…
Modeling optical constants from the absorption of organic thin films using a modified Lorentz oscillator model
2022
Optical constants of organic thin films can be evaluated using the Lorentz oscillator model (LOM) which fails to fit inhomogeneously broadened absorption of highly concentrated molecular films. In modified LOM (MLOM), the inhomogeneous broadening is implemented through a frequency-dependent adjustable broadening function. In this work, we evaluate the optical constants of rhodamine 6G doped poly-vinyl alcohol thin films with varying doping concentration (including also extensively high concentrations) using MLOM, which outperforms LOM by showing a better agreement with the experimental results. Our proposed method provides a way to accurately determine optical constants of isotropic organic…