The present production study shows that information structure is prosodically expressed in several parallel ways in Finnish. In addition to producing words in narrow focus with (1) a larger duration, (2) higher f0 peaks and greater falls, and (3) an earlier and more consistent peak alignment, participants frequently marked these words using also (4) pauses and (5) non-modal voice quality. Furth...

Modal parameters obtained from modal testing (such as modal vectors, natural frequencies, and damping ratios) have been used extensively in system identi"cation, "nite element model updating, and structural health monitoring. As an alternative to modal vectors, load-dependent Ritz vectors have been shown useful in various areas of structural dynamics such as model reduction and damage detection...

We discuss and analyze two subject agreement markers in Logooli (Bantu, Kenya). We show that e(class 9 subject agreement) and ga(class 6 subject agreement) give rise to a variety of apparently evidential or modal meanings when they occur in constructions translated with “expletive” subjects. We propose a treatment of the Logooli data following Matthewson, Rullmann & Davis’s (2007) and Rullmann,...

this study contains the identification of modal dynamic properties of a 3-story large-scale steel test frame structure through shaking table measurements. shaking table test is carried out to estimate the modal properties of the test frame such as natural frequencies, damping ratios and mode shapes. among many different model structures, arx (auto recursive exogenous) model structure is used fo...

The generation of a finite element based structural model of a small, flexible unmanned aircraft is presented. The paper focuses on obtaining a simple model suitable for control design based on a two step procedure. In an initial step, static and dynamic tests of the wings are conducted. These experiments give first estimates of the material properties (e.g., stiffness) of the aircraft. A finit...

Management of multi-modal data is a classical problem in data mining and exploration. Geographic Information Systems usually store multi-modal data and employ them in spatial and image analysis. This paper proposes a fusion of multi-modal data in the context of line detection with Fuzzy Hough Transform (FHT). The goal of this work is to simulate the Roman streets according to periods from parti...

I consider two semantic issues concerning will-sentences: Stalnaker’s Asymmetry and modal subordination in Karttunen-type discourses. The former prima facie points to drawing a distinction between will and modal verbs, as it seems to show that will does not license non-specific indefinites. The latter points in the opposite direction, suggesting that will-sentences involve some kind of modality...

A better similarity mapping function across heterogeneous high-dimensional features is very desirable for many applications involving multi-modal data. In this paper, we introduce coupled dictionary learning (DL) into supervised sparse coding for multi-modal (crossmedia) retrieval. We call this Supervised coupleddictionary learning with group structures for MultiModal retrieval (SliM). SliM for...

The objective is to develop a non-invasive automatic method for detection of epileptic seizures with motor manifestations. Ten healthy subjects who simulated seizures and one patient participated in the study. Surface electromyography (sEMG) and motion sensor features were extracted as energy measures of reconstructed sub-bands from the discrete wavelet transformation (DWT) and the wavelet pack...

Recent advances in neural variational inference have facilitated efficient training of powerful directed graphical models with continuous latent variables, such as variational autoencoders. However, these models usually assume simple, unimodal priors — such as the multivariate Gaussian distribution — yet many realworld data distributions are highly complex and multi-modal. Examples of complex a...