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—This work addresses the impact of sensing decision fusion rules and operative constraints on the performance of hard decision cooperative spectrum sensing schemes for cognitive radio networks. The work focuses on cooperative spectrum sensing under two sensing operating modes: the Constant False Alarm Rate (CFAR) and the Constant Detection Rate (CDR) mode.(More)
Out of the plethora of approaches for indoor localization, WiFi-based fingerprinting offers attractive trade-off between deployment overheads and accuracy. This has motivated intense research interest resulting in many proposed algorithms which are typically evaluated only in a single or small number of discrete environments. When the end-user's environment(More)
The weighted k-nearest neighbors (WkNN) algorithm is by far the most popular choice in the design of fingerprinting indoor positioning systems based on WiFi received signal strength (RSS). WkNN estimates the position of a target device by selecting k reference points (RPs) based on the similarity of their fingerprints with the measured RSS values. The(More)
—Cooperative Spectrum Sensing (CSS) has been proposed as a solution to increase accuracy of spectrum sensing in a Cognitive Radio Network (CRN), but with a few exceptions the design and performance evaluation of CSS schemes has focused so far on static networks, neglecting the role and potential impact of terminals mobility, in conjunction with channel(More)
BACKGROUND Early growth response-1 (Egr-1) is an immediate-early transcription factor inducible in the vasculature in response to injury, shear stress, and other stimuli. Mice lacking Egr-1 have a profound deficit in the ability to recover from femoral artery ligation, suggesting a role in neovascularization. Previous studies have shown that manipulating(More)
The loss of body protein that frequently accompanies illness occurs through changes in protein synthesis and degradation. In human tissues, rates of protein synthesis can be assessed with stable isotopic tracer techniques and mass spec-trometry. The basic principles of these methods are explained, and the advantages and drawbacks of the two main approaches,(More)
The interest for RF-based indoor localization, and in particular for WiFi RSSI-based fingerprinting, is growing at a rapid pace. This is despite the existence of a trade-off between the accuracy of location estimation and the density of a laborious and time consuming survey for collecting training fingerprints. A generally accepted concept of increasing the(More)
—Widespread adoption of indoor positioning systems based on WiFi fingerprinting is at present hindered by the large efforts required for measurements collection during the offline phase. Two approaches were recently proposed to address such issue: crowdsourcing and RSS radiomap prediction based on either interpolation or propagation channel model fitting(More)