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Wells A.,Charnwood Technical Consulting Ltd | Meyer H.-P.,University of Applied Sciences and Arts Western Switzerland
ChemCatChem | Year: 2014

Green thumbs...up? We look at the current state-of-the-art use of biocatalysis and biotechnology to deliver more sustainable manufacturing across a range of industries that use applied chemistry. This is the output from a series of presentations and a workshop held at EcoChem 2013 with contributors from pharmaceuticals, bulk chemicals, and flavor and fragrances industries, biocatalyst suppliers, synthetic biology innovator companies, and leading academics. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


Depeursinge A.,University of Applied Sciences and Arts Western Switzerland
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention | Year: 2012

Texture-based computerized analysis of high-resolution computed tomography images from patients with interstitial lung diseases is introduced to assist radiologists in image interpretation. The cornerstone of our approach is to learn lung texture signatures using a linear combination of N-th order Riesz templates at multiple scales. The weights of the linear combination are derived from one-versus-all support vector machines. Steerability and multiscale properties of Riesz wavelets allow for scale and rotation covariance of the texture descriptors with infinitesimal precision. Orientations are normalized among texture instances by locally aligning the Riesz templates, which is carried out analytically. The proposed approach is compared with state-of-the-art texture attributes and shows significant improvement in classification performance with an average area under receiver operating characteristic curves of 0.94 for five lung tissue classes. The derived lung texture signatures illustrate optimal class wise discriminative properties.


Sun Y.,Beijing Normal University | Jara A.J.,University of Applied Sciences and Arts Western Switzerland
Personal and Ubiquitous Computing | Year: 2014

Data management and information processing play the key roles in developing the Internet of Things (IoT). The requirements of a well-defined data model for IoT involve in six aspects: semantic supporting, active data extracting and explaining, flexibility and extensibility, enabling to manage massive and heterogeneous data, supporting formal organization, and solid mathematic-based theory. This paper aims to exploring an extensible and active semantic information organization model for IoT to meet the above requirements, and the primary idea is “Object-cored organizing data, event-based explaining data, and knowledge-based using data.” The proposed model involves two layers: the object layer and the event layer, and both of them are discussed in detail including conceptions, schema definitions, and the rule-based knowledge representation. Semantic reasoning can be supported by the knowledge base which involves in a set of reasoning rules on semantic relations among objects or among events correspondingly. © 2014, Springer-Verlag London.


Crettaz E.,University of Applied Sciences and Arts Western Switzerland
Journal of European Social Policy | Year: 2013

While there is a growing awareness of the 're-emergence' of working poverty, this topic remains relatively under-researched. This article provides an encompassing review of the literature dealing with the situation in Europe, North America and the Antipodes, with a focus on the theoretical models found in this literature, the definitions used and the risk groups identified. The main conclusion is that most publications were not based on a specific theoretical model, which has led to a flurry of definitions; moreover, conclusions on certain risk groups are divergent. The end of the article focuses on what remains to be done, because there are good reasons to think that working poverty might become a more pressing problem in the near future, and social policy researchers will have to have good theoretical frameworks and robust evaluation strategies in the years to come. © The Author(s) 2013.


Depeursinge A.,University of Applied Sciences and Arts Western Switzerland
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention | Year: 2011

We develop a texture analysis framework to assist radiologists in interpreting high-resolution computed tomography (HRCT) images of the lungs of patients affected with interstitial lung diseases (ILD). Novel texture descriptors based on the Riesz transform are proposed to analyze lung texture without any assumption on prevailing scales and orientations. A global classification accuracy of 78.3% among five lung tissue types is achieved using locally-oriented Riesz components. Comparative performance analysis with features derived from optimized grey-level co-occurrence matrices showed an absolute gain of 6.1% in classification accuracy. The adaptability of the Riesz features is demonstrated by reconstructing templates according to the first principal components of the lung textures. The balanced performance achieved among the various lung textures suggest that the proposed methods can complement human observers in HRCT interpretation, and opens interesting perspectives for future research.

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