One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus–Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR) algorithm are investigated as possible metho...

The National Oceanic and Atmospheric Administration National Climatic Data Center has served as the archive of the Defense Meteorological Satellite Program Special Sensor Microwave Imager (SSM/I) data from the F-8, F-10, F-11, F-13, F-14, and F-15 platforms covering the period from July 1987 to the present. Passive microwave satellite measurements from SSM/I have been used to generate climate p...

Microwave-frequency data acquired from the Special Sensor Microwave Imager (SSM/I) has been interpreted as snow-water equivalent (SWE) for the snowpack on the upper Mattagami river watershed for the winter of 1998–1999. The Mattagami watershed is in a forested region of Ontario, Canada. Less than 10% of the area is lake or unforested wetland. The algorithm applied to the SSM/I data uses the dif...

Wheel loaders are prone to lateral tilting accidents due to their complex working environment, variable structure frame and the large offset of the centroid position. The accidents may seriously threaten the driver’s safety. This paper proposes a steady-state margin (SSM) angle as a new instability threat indicator to analyse lateral stability of wheel loaders. Firstly, the structural character...

We use Metropolis Monte Carlo and umbrella sampling to calculate the free energies of interaction of two methane molecules and their charged derivatives in cylindrical water-filled pores. Confinement strongly alters the interactions between the nonpolar solutes and completely eliminates the solvent separated minimum (SSM) that is seen in bulk water. The free energy profiles show that the methan...

In this paper we propose two new methods for implementing the mutation operator in Genetic Programming called Semantic Aware Mutation (SAM) and Semantic Similarity based Mutation (SSM). SAM is inspired by our previous work on a semantics based crossover called Semantic Aware Crossover (SAC) [19] and SSM is an extension of SAM by adding more control on the change of semantics of the subtrees inv...

Business process analysis and modeling is a crucial step in formulating information systems user requirements. The practice of information technology (IT) development does not indicate a lack of problems in spite of the growing number of modeling techniques. This article gives an action research account of formulating and applying a new business process modeling framework to manufacturing proce...

In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn the skin color information from each test image in real-time and generate the specific skin model (SSM) for that image. Consequently, the SSM can adapt to a certain image, in which the skin colors may vary from one reg...

Real-time 3D navigation during minimally invasive procedures is an essential yet challenging task, especially when considerable tissue motion is involved. To balance image acquisition speed and resolution, only 2D images or low-resolution 3D volumes can be used clinically. In this paper, a real-time and registration-free framework for dynamic shape instantiation, generalizable to multiple anato...

This paper reports on some of the outcomes from a two-year Knowledge Transfer Programme (KTP) which included the development of an implementation process for the installation of customer relationship management (CRM) applications in small to medium-sized enterprises (SMEs) in the UK mail order sector. Soft systems methodology (SSM) was used to help appreciate the organizational structures and p...