Time series shapelets are a recent promising concept in time series data mining. Shapelets are time series snippets that can be used to classify unlabeled time series. Shapelets not only provide interpretable results, which are useful for domain experts and developers alike, but shapelet-based classifiers have been shown by several independent research groups to have superior accuracy on many d...

This paper presents details of an open access web site that can be used by hydrologists and other scientists to evaluate time series models. There is at present a general lack of consistency in the way in which hydrological models are assessed that handicaps the comparison of reported studies and hinders the development of superior models. The HydroTest web site provides a wide range of objecti...

Ultra-wide bandwidth (UWB) technology is a viable candidate for enabling accurate localization through time of arrival (TOA) based ranging techniques. These ranging techniques exploit the high time resolution of the UWB signals to estimate the TOA of the first signal path. Nevertheless, these techniques are facing the problem of proper multipath mitigation especially in harsh propagation enviro...

In this paper we try to suggest a possible novel method to determine some selected even zonal harmonics Jl of the Earth’s geopotential. Time series some years long of suitably linearly combined residuals of some Keplerian orbital elements of certain existing geodetic SLR satellites would be examined and corrections ∆Jl for the even zonals which we are interested in would be obtained. A CHAMP/GR...

An understanding of customers’ perceptions of value is fundamental to the competitive nature of all industries. Using the timeshare resort sector as a context for our studies, we explore the ways in which consumers, grouped according to their timeshare ownership stage, perceive value. Data were collected from three samples: non-owners of timeshare, recent purchasers of timeshare, and longer-ter...

This case study chronicles the efforts of a small high school over a 2-year period as it designed an implemented a response to intervention (RTI) program for students at the school. Their efforts were largely successful, with improved achievement, attendance, and grade point averages and a decrease in special education referrals. Major themes include the need to focus on quality core instructio...

Flow Theory is a rich, effective theory introduced in order to study real-time network protocols. It is based on discrete mathematics in which a flow of data is represented by an infinite sequence of numbers and is characterized by its upper bounds. Unfortunately up to now Flow Theory has used a traffic characterization that in some cases can be too loose, thus causing an inefficient network ut...

Large industrial control and automation applications require reliable communication with strict timing constraints between distributed communication equipment. Packet-switched networks are widely used as a high-speed, deterministic, and low-cost solution to handle these types of distributed real-time systems. Although research on guaranteeing timing requirements in packet-switched networks has ...

Over the past decade, intuitionist models of morality have challenged the view that moral reasoning is the sole or even primary means by which moral judgments are made. Rather, intuitionist models posit that certain situations automatically elicit moral intuitions, which guide moral judgments. We present three experiments showing that evaluations are also susceptible to the influence of moral v...