Detecting sequence disruptions within events is not automatic

A two-valued recurrent double sequence that is not automatic

A recurrent 2-dimensional (double) sequence t(m,n) is given by fixing particular sequences t(m, 0), t(0, n) as initial conditions and a rule of recurrence t(m,n) = t(a(m,n − 1), t(m − 1, n − 1), t(m − 1, n)) for m,n ≥ 1. We display such a sequence with values in the set {0, 1} and show that all rows are periodic and that the minimal period of the n-th row has length 2. We conclude that this 2-d...

Automatic classification of seismic events within a regional seismograph network

Success is not necessarily automatic

There are a number of factors (planning, process optimization, organizational structure, people development and the need to see the total picture) that must be in place for automation to be as effective as possible. This paper discusses these factors and their relationship with automation. It evaluates less obvious areas associated with automation, as well as the more established ones, and disc...

Detecting Priming News Events

We study a problem of detecting priming events based on a time series index and an evolving document stream. We define a priming event as an event which triggers abnormal movements of the time series index, i.e., the Iraq war with respect to the president approval index of President Bush. Existing solutions either focus on organizing coherent keywords from a document stream into events or ident...

Detecting Strong Prosodic Events

This work presents an approach for detecting strong prosodic events (i.e. emphasized words) in speech signals. The detection of emphasis is useful in speech-to-speech translation. It helps to ensure that post-translation prosody reflects speakers’ original intentions, i.e. translated words corresponding to emphasized words in the input signal are also emphasized in the translated signal. The st...