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Accurate estimation of noise level in digital images is of critical importance prior to application of denoising techniques in the areas of image processing and computer vision. In this paper, we propose a novel approach for estimation of noise level using: (i) Singular values of noisy image from rear end of Singular Value Decomposition (SVD) subspaces (in order to restrict the influence of image...
This keynote presentation will highlight the unique research issues and challenges in the emerging field of smart living and cyber-physical-social systems, and also discuss novel solutions to address some of these challenges. The proposed solutions will be based on a rich set of theoretical and practical design principles, such as situational-aware data collection and fusion algorithms, uncertainty...
The Quality of Information (QoI) in Participatory Sensing (PS) systems largely depends on the location accuracy of participating users. However, users could easily provide false information through Location Spoofing Attacks (LSA). Existing PS systems are not able to efficiently validate the position of users in large-scale outdoor environments, thus being prone to reduced QoI. In this paper we present...
The issue of content placement for video streaming over cellular networks is addressed in this study. Our method was verified using real video streaming data taken from traces of live content distribution networks. Simulation results show that replicating a relatively small number of video files can significantly reduce the incoming bandwidth from the Internet backbone, as well as the (time) latency...
Smartphones have become a pervasive technology as they are not only a powerful multimedia device but also offer a rich sensing platform with a plethora of built-in sensors, such as temperature, light, GPS, accelerometers, and so on. Smartphones also provide multiple wireless interfaces (e.g., Bluetooth, WiFi, cellular) to connect to the external sensors and the Internet. This has led to what is called...
In classical Q-learning, the Q-table is updated after each state-transition of the agent. This is not always economic. This paper provides an alternative approach to Q-learning, where the Q-value of a grid is updated until a Boolean variable Lock associated with the cell is set. Thus the proposed algorithm saves unnecessary updating in the Q-table. Complexity analysis reveals that there is a significant...
With the objective of addressing the need for reinforcing STEM (Science, Technology, Engineering and Mathematics) in the education system, authorities have encouraged the creation of partnerships between universities, school districts, and other entities to attract and develop science teachers. STARS, a National Science Foundation (NSF) funded GK-12 program, and The School District of Hillsborough...
Cooperative positioning is an emerging topic in wireless sensor networks and navigation. It can improve the positioning accuracy and coverage in GPS-challenged conditions such as inside tunnels, in urban canyons, and indoors. Different algorithms have been proposed relying on iteratively exchanging and updating positional information. For the purpose of computational complexity, network traffic, and...
Tremendous advancements in embedded systems, sensors and wireless communications technology have made it possible to build large-scale wireless sensor networks (WSNs). Due to their potential applications, WSNs have attracted significant attention to the industry, academic, and government organizations. In particular, by commanding a large number of distributed and coordinated sensor nodes, WSNs can...
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