This paper presents a review of city logistics (also known as urban freight transportation) modelling efforts reported in the literature for urban freight analysis. The review is based on an extensive search of the academic literature. We position the contributions in a framework that takes into account the diversity and complexity found in the present-day city logistics practice. The framework covers the fundamental aspects in the modelling selection process, including: (1) the stakeholders involved in the model, (2) the defining criteria, that is the descriptor for modelling purpose, (3) the objective of the model and (4) the solution approach implemented for achieving the objective. In our discussion and overview, we take these situational factors as the starting point for categorizing and evaluating the city logistics modelling literature. The review analyses the trends of city logistics modelling research in terms of its relevance to city logistics problems and attempts to identify missing links in modelling the urban freight domain.
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In a real-world environment a face detector can be applied to extract multiple face images from multiple video streams without constraints on pose and illumination. The extracted face images will have varying image quality and resolution. Moreover, also the detected faces will not be precisely aligned. This paper presents a new approach to on-line face identification from multiple still images obtained under such unconstrained conditions. Our method learns a sparse representation of the most discriminative descriptors of the detected face images according to their classification accuracies. On-line face recognition is supported using a single descriptor of a face image as a query. We apply our method to our newly introduced BHG descriptor, the SIFT descriptor, and the LBP descriptor, which obtain limited robustness against illumination, pose and alignment errors. Our experimental results using a video face database of pairs of unconstrained low resolution video clips of ten subjects, show that our method achieves a recognition rate of 94% with a sparse representation containing 10% of all available data, at a false acceptance rate of 4%.
This resource establishes European standards for sign languages for professional purposes in line with the Common European Framework of Reference for Languages (CEFR) and provides an overview of assessment descriptors and approaches. Drawing on preliminary work undertaken in adapting the CEFR to sign languages, the project Signed languages for professional purposes (PRO-Sign) is the first to specify proficiency levels for sign languages establishing European standards for use in Deaf Studies and interpreting programmes offered at tertiary level across Europe and beyond. This website seeks to act as a point of reference for teachers, teacher trainers and curriculum developers of sign languages in tertiary educational environments. It may also support the work of international non-governmental organisations such as the European Union of the Deaf (EUD), the World Federation of the Deaf (WFD), the European Forum of Sign Language Interpreters (efsli) and other relevant international organisations. This website provides ‘Can Do’ descriptors for reception, interaction and production from A1 all the way up to C2 level. The descriptions also include ‘plus levels’ (e.g. A2+).
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