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White Space (WS) Networking crucially relies on the active monitoring of spatio-temporal spectrum usage (to identify WS opportunities). To achieve this, one way is to gather spectrum data via wide-area sensor deployment and construct better Radio Environment Maps (REMs) with spatial models such as Kriging and Gaussian Process (GP). An economically viable alternative is via incentivized crowdsourcing,...
Inferring activities on smartphones is a challenging task. Prior works have elaborated on using sensory data from built-in hardware sensors in smartphones or taking advantage of location information to understand human activities. In this paper, we explore two types of data on smartphones to conduct activity inference: 1) Spatial-Temporal: reflecting daily routines from the combination of spatial...
Enterprise architecture modeling and model maintenance are time- consuming and error-prone activities that are typically performed manually. This position paper presents new and innovative ideas on how to automate the modeling of enterprise architectures. We propose to view the problem of modeling as a probabilistic state estimation problem, which is addressed using Dynamic Bayesian Networks (DBN)...
This paper presents a model-based fault management (FM) system designed to provide off-nominal state detection and isolation capabilities that are key components to assessing spacecraft state awareness. The ability to autonomously isolate spacecraft failures to component levels will enable faster and more targeted responses and recovery thereby reducing down time. The use of model-based systems and...
Sensor nodes are inherently unreliable and prone to hardware or software faults. Thus, they may report untrustworthy or inconsistent data. Assessing the trustworthiness of sensor data items can allow reliable sensing or monitoring of physical phenomena. A provenance-based trust framework can evaluate the trustworthiness of data items and sensor nodes based on the intuition that two data items with...
The development of new software applications in mobile robotics is very challenging due to the complexity oftasks and the multitude of involved components. The hybridtestbed idea, combining the advantages of virtual and realtestbeds, shortens the development cycle with little effort.Hybrid testbeds provide the possibility to exchange real andsimulated components at any time without influencing thefurther...
The use of unmanned aerial vehicles (UAVs) has the potential to significantly improve the situation awareness of emergency first responders working at urban disaster sites. Having the characteristics of being small, light-weight and quickly deployable, UAVs offer the ability to fly over an urban disaster and provide intelligence to Urban Search and Rescue (USAR) task force efforts before precious...
One of the banes of modern software development is needing to make design decisions before enough information is available to do so with adequate justification. In this paper, we describe a novel system engineering technique that helps alleviate the problem by allowing many such decisions to be delayed until they can be made with sufficient supporting information. We expect this approach will substantially...
Due to the increasing advance on wireless communication and sensors, Wireless Sensor Networks (WSN) have been widely used in several fields, such as medicine, science, industrial automation and security. A possible solution is to use CMOS System on Chip (SoC) sensor nodes as hardware platforms due to its extremely low power, sensing, computation and communication capabilities. This work presents the...
We present a novel context acquisition and management middleware for mobile phones based on Qt (C++ based cross-plattform API) for S60 called mSense. In our middleware, sensor nodes encapsulate platform level APIs for seamlessly accessing hardware sensors, simulated sensors or web services. Aggregators (channels) combine information from other nodes to generate new knowledge. For example, GPS, accelerometer...
This paper investigates an universal algorithm and hardware architecture for context-based statistical lossless compression of multiple types of data using FPGA (field programmable gate array) devices which support partial and dynamic reconfiguration. The proposed system enables optimal modeling strategies for each source type whilst entropy coding of the modeling output is performed using a statically...
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