Advantages and limitations associated with each nondestructive evaluation (NDE) modality raises a tradeoff in which no single modality can be identified for a particular application. Techniques are presented here that can be used to enhance inspection process based on multi-spectral, multi-temporal, and multi-resolution image fusion. The necessary elements for building an intelligent NDE system...

The rapid growth of the elderly population in the world and the rising cost of healthcare impose big issues for healthcare and medical monitoring. A Wireless Body Sensor Network (WBSN) is comprised of small sensor nodes attached inside, on or around a human body, the main purpose of which is to monitor the functions and surroundings of the human body. However, the heat generated by the node's c...

We present the MT-NCD and MT-mNCD machine translation evaluation metrics as submission to the machine translation evaluation shared task (MetricsMATR 2010). The metrics are based on normalized compression distance (NCD), a general information theoretic measure of string similarity, and evaluated against human judgments from the WMT08 shared task. The experiments show that 1) our metric improves...

When evaluating a generation system, if a corpus of target outputs is available, a common and simple strategy is to compare the system output against the corpus contents. However, cross-validation metrics that test whether the system makes exactly the same choices as the corpus on each item have recently been shown not to correlate well with human judgements of quality. An alternative evaluatio...

A new method for estimating the software development effort, Component Reuse Metrics, CRM, developed in this study, combines the best means of object-oriented component technology and the analysis of human behaviour into simple calculation rules. CRM uses the component structure of the products, which can be obtained from a CASEtool or from a configuration management system as a base for the ef...

In this paper, we present an interactive exploration framework that puts the human-in-the-loop with the application of quality metrics and brushing techniques for an efficient visual analysis of high-dimensional data sets. Our approach makes use of the human ability to distinguish interesting structures even within very cluttered projections of the data and uses quality metrics to guide the use...

Automatic metrics are widely used in machine translation as a substitute for human assessment. With the introduction of any new metric comes the question of just how well that metric mimics human assessment of translation quality. This is often measured by correlation with human judgment. Significance tests are generally not used to establish whether improvements over existing methods such as B...

There are errors in the author affiliations. The affiliations should appear as shown here: Ana Wheelock, MSc; Anam Parand, PhD; Bruno Rigole, MSc; Angus Thomson, PhD; Marisa Miraldo, PhD; Charles Vincent, PhD; Nick Sevdalis, PhD Faculty of Medicine, Imperial College London, London, UK; Sanofi Pasteur, Lyon, France; Imperial College Business School, London, UK; Department of Experimental Psychol...

This paper presents a historical overview and current perspective of the Automated Neuropsychological Assessment Metrics (ANAM) test system. We discuss the history of its development along with a synopsis of the evolution of computerized testing that has occurred and led to ANAM over the past 30 years within the Department of Defense (DoD). We include a description of our current system and tes...