Previous studies investigating proximity and collaboration have not clarified personal elements, such as working or communication style. Here, we show that personal proximity-close similarity in terms of personal traits and behavioral patterns-substantially affects the whole life cycle of research collaborations. We conduct a multi-case study of Dutch nanotechnology researchers. We select our i...

A growing number of text-rich XML repositories are being made available. As a result, more efforts have been deployed to provide XML fulltext search that combines querying structure with complex conditions on text ranging from simple keyword search to sophisticated proximity search composed with stemming and thesaurus. However, one of the key challenges in full-text search is to match users’ ex...

For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a novel approach to model learning and real-time tracking. We extract multi-resolution 3D shape and texture representations from RGB-D images at high frame-rates. An efficient variant of the iterative closest points algo...

With few exceptions, proximity search algorithms in metric spaces based on the use of pivots select them at random among the objects of the metric space. However, it is well known that the way in which the pivots are selected can drastically affect the performance of the algorithm. Between two sets of pivots of the same size, better chosen pivots can largely reduce the search time. Alternativel...

For ℓ 2 , there exists the powerful dimension reduction transform of Johnson and Lindenstrauss [JL84], with a host of known applications. Here, we consider the problem of dimension reduction for all ℓ p spaces 1 ≤ p < ∞. Although strong lower bounds are known for dimension reduction in ℓ 1 , Ostrovsky and Rabani [OR02] successfully circumvented these by presenting an ℓ 1 embedding that maintain...

When we search from a huge amount of documents, we often specify several keywords to narrow the result of the search. Though the searched documents contain all keywords, positions of the keywords are usually not considered. As the result, the search result contains some meaningless documents. In this paper, we propose two algorithms for nding documents in which all given keywords appear in neig...

This paper discusses several practical use cases for deploying network proximity in mobile services. Our research presents here mobile services oriented for either discovering new data for mobile subscribers or for delivering some customized information to them. All applications share the same approach and use the common platform, based on the Wi-Fi proximity. The typical deployment areas for o...

This paper investigates the intertubular van der Waals interactions that produce the initial cross sectional distortion of single-walled carbon nanotubes during a bundle formation. By combining the analysis of molecular dynamics with the continuum mechanics, the distributions of the van der Waals forces were determined. The dependence of the load parameters, deformation variables and the lattic...

Modeling proximity searching problems in a metric space allows one to approach many problems in different areas, e.g. pattern recognition, multimedia search, or clustering. Recently there was proposed the permutation based approach, a novel technique that is unbeatable in practice but difficult to compress. In this article we introduce an improvement on that metric space search data structure. ...

Abstract During the ground operation of aircraft, the interaction between the propulsor-induced flow field and the ground may lead to the generation of ground vortices. Utilizing numerical approaches, the source of vorticity entering ground vortices is investigated. The results show that the production of wall-parallel components of vorticity has a strong contribution from the wall-parallel com...