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The pervasiveness of mobile devices and short-range wireless networks deployed in urban areas have brought Weiser's vision of ubiquitous or pervasive computing into reality. The mobile devices weave themselves into urban dwellers' lives as an undetachable part. In urban places, there are not only people but also their devices' presence. Interestingly, devices can communicate wirelessly with each other in order to improve people's interactions. We call this phenomenon Place-based Virtual Community (PBVC), which includes people, devices, and their activities/interactions at the place in time. This paper introduces the PlaceAware application that can be used to enhance people's social interactions in urban areas. PlaceAware was built on top of the PBVC Architecture.

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The automatic number-plate recognition (ANPR) has become more important nowadays, especially for security management, parking management and law enforcement. There are many ANPR systems introduced but almost of them worked under restricted conditions, such as fixed location of ANPR cameras, processing speed and hardware resources. In this paper, we build the Mobile International Number Plate Recognition (MINPR) system which is exploited and implemented on the Android mobile phone platform to solve these problems. The MINPR includes three main steps: using AdaBoots classification with Haar-like features to locate the area which contains the number plate, applying morphology method to separate characters within the number plate, and using neural network for characters recognition.