The Tsaoling Landslide in Taiwan has captured attentions of researchers worldwide due to its frequent catastrophic failure and distinctive features. Thanks to the launch of TerraSAR-X/TanDEM-X (TSX/TDX) constellation, retrieval of global DEM with high spatial resolution and accuracy becomes possible, which is extremely useful for the study of natural hazards (e.g., landslides) globally. We atte...

The sporadic behavior of wind currently hampers electrical companies from fully utilizing wind energy as a viable resource. Observations of reported wind generation data suggest that there may be diurnal patterns in wind generation. Predicting the magnitude and graphical shape of wind generation at different times during the day would help control room operators to better direct the assignment ...

We propose a method for filling gaps and removing interferences in time series for applications involving continuous monitoring of environmental variables. The approach is non-parametric and based on an iterative pattern-matching between the affected and the valid parts of the time series. It considers several variables jointly in the pattern matching process and allows preserving linear or non...

A financial decision supporting system based on the fuzzy candlestick pattern is proposed and developed. We model Japanese candlestick patterns by using fuzzy linguistic variables. Japanese candlestick theory is an empirical model of investment decision. The theory assumes that the trend of financial time series could be predicted by identifying specific candlestick patterns in the candlestick ...

Bodymovement synchrony (i.e. rhythmic synchronization between the body movements of interacting partners) has been described by subjective impressions of skilled counselors and has been considered to reflect the depth of the client-counselor relationship. This study analyzed temporal changes in body movement synchrony through a video analysis of client-counselor dialogues in counseling sessions...

In this paper, two local approximation techniques for prediction are explored. First, a pattern recognition technique called Pattern Modelling and Recognition System (PMRS) is explored for making multiple forecasts. We then describe a single nearest neighbour based prediction system for multiple forecasting. Both models are based on using local neighbourhoods in data for making prediction. Mult...

Virtual Learning Environments (VLE), such as Moodle, are purpose-built platforms in which teachers and students interact to exchange, review, and submit learning material and information. In this paper, we examine a complex VLE dataset from a large Irish university in an attempt to characterize student behavior with respect to deadlines and grades. We demonstrate that, by clustering activity pr...

While firms have frequently been conceptualized as configurations of choices, the evolution of configurations has not received much attention. We start to develop a typology of evolutionary patterns by describing two developmental paths. Patch-by-patch development is characterized by managers’ sequential creation and elaboration of strategic themes, whereas thin-to-thick development consists of...

Classifying multivariate time series is often dealt with by transforming the numeric series into labelled intervals, because many pattern representations exist to deal with labelled intervals. Finding the right preprocessing is not only time consuming but also critical for the success of the learning algorithms. In this paper we show how pattern graphs, a powerful pattern language for temporal ...

Diierent instances of a handwritten word consist of the same basic features (humps, cusps, crossings, etc.) arranged in a deformable spatial pattern. Thus, keywords in cursive text can be detected by looking for the appropriate features in the \correct" spatial conng-uration. A keyword can be modeled hierarchically as a set of word fragments, each of which consists of lower-level features. To a...