In seeking to better understand strategic entrepreneurship in the 21 st Century, this paper develops an agent-based simulation model that allows researchers to study different opportunity recognition strategies in a globalized knowledge economy. The simulation takes account of international knowledge spillovers and shows the comparative payoffs of each entrepreneurial strategy, with distinctive...

Sinhala, which the main spoken language of the majority of Sri Lanka, is an under-resourced language. Sinhala language is new to the speech recognition research field and faces the problem of not having suitable speech corpora available. For a language like Sinhala, it is essential to find out ways of developing good recognition models using a fewer sample of data. Speaker Adaptive methods prov...

The investigation surrounding the Boston Marathon bombings was a missed opportunity for automated facial recognition to assist law enforcement in identifying suspects. We simulate the identification scenario presented by the investigation using two state-of-the-art commercial face recognition systems, and gauge the maturity of face recognition technology in matching low quality face images of u...

In this article, we propose a novel multimodal data analytics scheme for human activity recognition. Traditional data analysis schemes for activity recognition using heterogeneous sensor network setups for eHealth application scenarios are usually a heuristic process, involving underlying domain knowledge. Relying on such explicit knowledge is problematic when aiming to create automatic, unsupe...

Image processing, specifically Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) imagery, is an application area that can require tremendous processing throughput. In this application, data comes from high bandwidth sensors, where the processing is time-critical. There is limited space and power for processing the data in the sensor platforms or in battlefield groundstations....

This paper presents a method for the visual quantification of cerebral arteries, known as the Circle of Willis (CoW). It is an arterial structure with the responsibility of supplying the brain with blood, however, dysfunctions can lead to strokes. The diagnosis of such a time-critical/urgent event depends on the expertise of radiologists and the applied software tools. They use basic display me...

Risk analysis has recently emerged as a structured and precise methodology to help modern companies understand their risks and plan the relative countermeasures well in advance. It is based on a number of indicators: parameters that quantify the key concepts on which an enterprise designs its security and safety investments. A modificator is a function that further modifies an existing indicato...

In this paper we present BurstProbe, a new technique to accurately measure link burstiness in a wireless sensor network employed for time-critical data delivery. Measurement relies on shared probing slots that are embedded in the transmission schedule and used by nodes to assess link burstiness over time. The acquired link burstiness information can be stored in the node's ash memory and relied...

Physiotherapy practice is changing rapidly, with greater leadership opportunities and recognition of physiotherapy across healthcare sectors. For example, physiotherapists increasingly hold leadership roles in management of chronic disease and other inter-professional teams, engage in extended scope of practice duties, perform triage roles in tertiary centre clinics and emergency departments, h...