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Recent years have seen a confluence of two major trends -- the increase of mobile devices such as smart phones as the primary access point to networked information and the rise of social media platforms that connect people. Their convergence supports the emergence of a new class of context-aware geosocial networking applications. While existing systems(More)
We present our ongoing work on user data and contextual privacy preservation in mobile devices through semantic reasoning. Recent advances in context modeling, tracking and collaborative localization have led to the emergence of a new class of smart phone applications that can access and share embedded sensor data. Unfortunately, this also means significant(More)
We describe work on representing and using a rich notion of context that goes beyond current networking applications fo-cusing mostly on location. Our context model includes location and surroundings, the presence of people and devices, inferred activities and the roles people fill in them. A key element of our work is the use of collaborative information(More)
The balance between privacy and security concerns is a hotly debated topic, especially as government (and private) entities are able to gather and analyze data from several disparate sources with ease. This ability to do large scale analytics of publicly accessible data leads to significant privacy concerns. In particular, for the government, there is the(More)
A Cyber-Physical System (CPS) involves a tight coupling between the physical and computational elements. Security is a key challenge for the deployment of CPS. Therefore, it is highly desirable to extract correct information from a large volume of noisy data and properly evaluate the reputation of reporting devices in CPS. In this paper, we propose a(More)
Recent years have seen a confluence of two major trends – the increase of mobile devices such as smart phones as the primary access point to networked information and the rise of social media platforms that connect people. Their convergence supports the emergence of a new class of context-aware geosocial networking applications. While existing systems focus(More)
Bloodstream bacterial infections are a serious threat to global public health and economy. The recent figures released by National Center for Health Statistics indicate that more than a million Americans get affected by it each year and the sepsis mortality alone is about 28%-50% Hall et al. (2011).1 Robust and affordable point-of-care medical technologies(More)
In this paper, we are presenting a tri-band Planar Inverted F Antenna (PIFA) for mobile application. PIFA basically consist of ground plate, patch, feed and shortening pin connected to ground plate. Antenna is designed to tune at 916MHz, 1800MHz and 6.2GHz frequencies. Designed antenna has been simulated in CST 2012 software and various parameters of(More)
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