Random Decrement Technique (RDT) based decentralized computing approaches implemented in wireless sensor networks (WSNs) have shown advantages for modal parameters and data aggregation identification. However, previous studies of RDT-based approaches from ambient vibration data have usually assumed that the input excitation is a broad-band stochastic process modeled by stationary white or filte...

In this paper, the modal properties of the Alamosa Canyon Bridge obtained using ambient data are compared to those obtained from impact hammer vibration tests. Using ambient sources of excitation to determine the modal characteristics of large civil engineering structures is desirable for several reasons. The forced vibration testing of such structures generally requires a large amount of speci...

The goal of the current study is to suggest a novel paradigm of epistemic modal operator originated from the disjunction. Our main data is Korean disjunction operator nka which forms a non-factual question. Examining how the modal effect in question is induced by nka, I propose that the prerequisite of nka brings about non-homogenous nonveridical (i.e. modal) spaces partitioned in equipoised ep...

This paper presents a recursive method of modal parameters identification based on operational measurements, dedicated for non-stationary systems. Decoupling signal components procedure allowed to reduce the signal model and simplified the process of modal parameters estimation. Adaptive method of filtering simplified the process of wavelet function selection. Presented method utilize Continuou...

conclusions according to the results, male students preferred to use the kinesthetic learning style more than females, while, female students preferred the aural learning style. knowledge about the learning styles of students at educational institutes is valuable and helps solve learning problems among students, and allows students to become better learners. results out of 184 participants who ...

Short Description: We have implemented a model which is ment for extracting coherent representations from multi-modal data. The model consists of a hierarchy of interconnected units. Initial experiments which verify that the model works in principle were reported in D5.3. This deliverable reports experiments with more realistic multi-modal data and discusses the background and motivation of the...

In this paper, a multi-modal data collection tool called MICoT is described. We highlight the various design and implementation aspects that we consider to be important for MICoT. An example is given to illustrate the application of the tool to collect data for our research in multi-modal dialog system.

Despite the large amount of theoretical work done on non-constituent coordination during the last two decades, many computational systems still treat coordination using adapted parsing strategies, in a similar fashion to the SYSCONJ system developed for ATNs. This paper reviews the theoretical literature, and shows why many of the theoretical accounts actually have worse coverage than accounts ...

First, the equations for calculating the full mass, stiffness and damping matrices from modal data are derived. This deviation was first presented in [1]. However, these equations are difficult to solve because the first step of their solution requires matrix inversion of the flexibility matrix to obtain the stiffness matrix. Not only does matrix inversion amplify errors, but the number of line...