This paper presents a novel method for the estimation of beat interval from audio files. As a first step, a feature extracted from the waveform is used to identify note onsets. The estimated note onsets are used as input to a beat induction algorithm, where the most probable beat interval is found. Several enhancements over existing beat estimation systems are proposed in this work, including m...

Reverse engineering and software evolution are probably today among the most challenging research areas in software engineering. They are also very rich fields for applying model engineering techniques. However, in order to define a sound model-driven reverse engineering framework, we need to understand more clearly the conditions under which various abstract models may be extracted from legacy...

We are drowning under the 3 Vs (volume, velocity and variety) of big data. Real-time information extraction from big data, at global as well as local levels, is critical for making rapid decisions in many important DoD scenarios. However, such real-time information from big data is enormously complex and extremely challenging. We argue that data movement is of crucial importance in big data ana...

Previous research has identified a set of acoustical cues that are important in communicating different emotions in music performance. We have applied these findings in the development of a system that automatically predicts the expressive intention of the player. First, low-level cues of music performances are extracted from audio. Important cues include average and variability values of sound...

An Electrocardiogram signals change their statistical property over time and ECG signals are highly non-stationary signals. Growing of embedded technology has provided powerful tools to analysis of ECG. ECG is advanced recording method of bioelectric signal which is originated in the heart and it provides valuable information about the activity of human heart. Different types of features of the...

This paper investigates the contribution of document level processing of timeanchors for TimeLine event extraction. We developed and tested two different systems. The first one is a baseline system that captures explicit time-anchors. The second one extends the baseline system by also capturing implicit time relations. We have evaluated both approaches in the SemEval 2015 task 4 TimeLine: Cross...

microwave-assisted hydrodistillation (mahd) method has been compared with hydrodistillation (hd) conventional technique for extraction of essential oil from achillea millefolium. microwave-assisted hydrodistillation were examined at three levels of microwave powers (300, 500, and 700 w) .   obtained results show that   mahd offers important advantages over hd in terms of energy savings and extr...

ÐFor large time-varying data sets, memory and disk limitations can lower the performace of visualization applications. Algorithms and data structures must be explicitly designed to handle these data sets in order to achieve more interactive rates. The Temporal Branch-on-Need Octree (T-BON) extends the three-dimensional branch-on-need octree for time-varying isosurface extraction. This data stru...

In this paper a new GPS/INS/CCD integrated system for precise monitoring of highway center and edge lines is presented. The system has been developed at The Ohio State University (OSU) for the Ohio Department of Transportation (ODOT). The positioning component of the system is based on tightly integrated GPS/INS (dual frequency GPS receiver and a high-accuracy strapdown INS), and the imaging co...

We study the rate of true vacuum bubble nucleation numerically for a φ4 field system coupled to a source of thermal noise. We compare in detail the cases of additive and multiplicative noise. We pay special attention to the choice of initial field configuration, showing the advantages of a version of the quenching technique. We advocate a new method of extracting the nucleation time scale that ...