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Cognitive Radio (CR) technology enables secondary users (SUs) to opportunistically access unused licensed spectrum owned by the primary users (PUs). Therefore, it can potentially significantly enhance communication capacity, and hence is very encouraging in aerospace communications and deserve thorough study. One of the key problems in cognitive aerospace communications is to determine spectrum availability...
Cardiac arrhythmia is one of the most popular heart diseases that could lead to serious consequences. However, it is difficult for traditional electrocardiography (ECG) devices to capture arrhythmia symptoms during patients' hospital visits due to their intermittent occurrence nature. A few researchers recently propose continuous monitoring systems to address this problem. However, there are some...
With the rapid growth of the smart device market, associated security issues become more threatening and diverse than ever before. Due to the limitations of the traditional explicit authentication mechanisms (e.g., Password-based, biometrics), researchers and the industry have been promoting implicit authentication (IA) that does not require explicit user action and potentially enhances user experience...
Feature selection in Fingerprint-based localization systems is of great importance, because of its capability to reduce the overhead in handling high- dimensional data while ensuring positioning accuracy. Several methods for such a task have been proposed, but they either do not consider the correlation between features, or propose an inefficient method to deal with the correlation. The study in this...
Connection Manager Intelligence Agent's (CMIA) an attractive feature is use the network traffic and behavior with multi-attributes to find the best network devices and connection devices meet user habits that it possible to access various network contents everywhere at any time. In this agent, information process is thoroughly integrated into embedded system for connection manager of MeeGo or Android...
In the actual data there are a lot of missing values which can be properly remedied by other relevant factors in order to bring down the amount of missing information. In this paper Support Vector Regression (SVR) is applied to predict the values of abdominal circumference, body mass index and high density lipoproteins. After predicted by SVR, the average relative errors of abdominal circumference,...
We propose a new decision model for sub-health in this paper. Unlike traditional statistical analysis method, the model is built with rough sets and BP neural network with 18743 items of data owning 155 dimensions of attributes, we divide sub-health state into three different grade at first in order to reflect the precision of the model. The results of experiments show that the precision of judgment...
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