A Theoretical Framework for Core Material Properties Identification in Cellular Solids using Novelty Detection

Abstract:  This paper presents a novelty detection-based technique to identify core material properties of honeycombs and cellular structures. A numerical model (finite element) representing full scale and/or reduced size of the cellular solid is used to generate transmissibilities between topological homologous points at cells in different locations. In order to make the procedure robust against noise, these transmissibilities are artificially corrupted. This step is representative of a series of experimentally obtained measurements which automatically return information relating to the size and shape of data noise along with the mean measurement. The next stage, both in this paper and in the proposal for the experimental approach, is to generate several further sets of transmissibilities from the finite element model; the only difference being that the core material properties are altered from the original values. A novelty detection framework is then adopted to find a similarity measure between each of these 'test' transmissibilities and the original set thereby identifying the material properties. Although this work is concerned with identifying only one material property, the methodology extends to identifying several properties.     

High performance injectorless quantum-cascade lasers

Injectorless quantum-cascade (QC) lasers, for the first time comparable to conventional QC lasers, are presented. The samples are based on InP and the active region is designed as a four-level staircase, realised in the strain-compensated material system Ga/sub 0.4/In/sub 0.6/As/Al/sub 0.56/In/sub 0.44/As. Low threshold current densities and a maximum operating temperature of 350 K have been achieved, due to an optimised design. At 77 K the wavelength is about 10 /spl mu/m, while threshold current densities of 0.9 kA/cm/sup 2/ have been observed, which compare well with those of conventional QC lasers in this wavelength region.     

Language disturbances following vascular lesions restricted to the left basal ganglia, thalamus, and white matter.

Examined the relationship between aphasia type and lesion site in 80 subcortical stroke patients. Ss were classified as affected by aphasia, dysarthria, and nonaphasia, nondysarthria. Sites of lesions were identified by means of computerized tomography (CT) scan. No correlation between site of lesions and category group was found. Lesions of the same subcortical structures yielded different neurolinguistic impairment, whereas comparable linguistic patterns were observed with lesions of different deep areas. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A representation method for performance specifications in UML domain

Performance related problems play a key role in the Software Development Process (SDP). In particular an early integration of performance specifications in the SDP has been recognized during last years as an effective approach to speed up the production of high quality and reliable software. In this context we defined and implemented a technique for automatically evaluating performance aspects of UML software architectures. To achieve this goal the starting UML model of the software architecture under exam has been mapped into a performance domain afterwards analyzed. The performance indices are inserted in the UML model exploiting the OMG Profile for Schedulability, Performance and Time Specification standard. However, to really automate the process, it was mandatory to specify the UML software representation by fixing semantic rules. The goal of this paper is the formalization of the model representation, characterizing the syntax and the semantics through which specifying performance requirements and behaviors into UML models in order to be compliant with the technique we implemented.