In this paper, we present a new image indexing and retrieval method for image database applications. We introduce a novel image content description feature termed Scene Structural Matrix (SSM). The SSM captures the overall structural information of the scene by indexing the geometric features of the image. In this work, we also introduce a constraint adaptive image segmentation method termed Mi...

The Active Shape Model (ASM) is a segmentation algorithm which uses a Statistical Shape Model (SSM) to constrain segmentations to 'plausible' shapes. This makes it possible to robustly segment organs with low contrast to adjacent structures. The standard SSM assumes that shapes are Gaussian distributed, which implies that unseen shapes can be expressed by linear combinations of the training sha...

Adsorption and desorption by indoor surface materials can have significant impacts on the level of volatile organic compounds (VOCs) indoors. The surface sink model (SSM) was developed to account for these interactions in an indoor air quality model. Two types of scale-up experiments were conducted to validate the SSM that was developed based on small-scale chamber experiments. Conflicting resu...

e-Government have emerged in several countries. Because of many aspects that must be considered, and because of there are exist some soft components in e-Government, then the Soft Systems Methodology (SSM) can be considered to use in eGovernment systems development process. On the other hand, business process modeling is essential in many fields nowadays, as well as in e-Government. Some resear...

This is the third paper in a series of four papers which introduce cybersusy, which is a new mechanism for supersymmetry breaking in the supersymmetric standard model (SSM). In this paper we display some solutions to the constraint equations of BRS cohomology in the SSM. In particular we discuss the leptonic dotspinor pseudosupermultiplets that were used in Cybersusy I to calculate leptonic sup...

We propose an evolutionary state space model (E-SSM) for analyzing high dimensional brain signals (in particular, local field potentials in rats) whose statistical properties evolve over the course of a non-spatial memory experiment. Under E-SSM, brain signals are modeled as mixtures of components with oscillatory activity at defined frequency bands. One unique feature of E-SSM is that the comp...

Chloroplast genomes (cpDNA) are highly valuable resources for evolutionary studies of angiosperms, since they are highly conserved, are small in size, and play critical roles in plants. Slipped-strand mispairing (SSM) was assumed to be a mechanism for generating repeat units in cpDNA. However, research on the employment of different small repeated sequences through SSM events, which may induce ...

Perceptions of the Same Site Model (SSM) of fieldwork, where students complete a Level I and Level II fieldwork requirement in the same setting, were examined by survey. The benefits, drawbacks, and implications of the SSM are discussed. Fieldwork educators and students identified gaining familiarity with the setting, increased comfort and decreased anxiety, and preparation for Level II fieldwo...

A new SSM/I algorithm is described that is based on near real-time data fusion with portions of operational ice charts derived from RADARSAT, OLS or AVHRR data. The aim of this is to enable parts of the ice chart where there is no cloud-free imagery or SAR data to be completed using an SSM/I algorithm that is tuned to the region and time associated with the ice chart. The algorithm is a linear ...

I define the Standard Supersymmetric Model (SSM) as the minimal supersymmetric extension of the Standard Model with gauge coupling unification and universal soft supersymmetry breaking at the unification scale. This well-defined model has a five-dimensional space of unknown parameters (m t , tan β, m 1/2 , m 0 , A). I outline the top-down and bottom-up methods of solving this model. Thresholds ...