Recently, the term “fake news” has been broadly and extensively utilized for disinformation, misinformation, hoaxes, propaganda, satire, rumors, click-bait, junk news. It become a serious problem around world. We present new system, FaNDS, that detects fake news efficiently. The system is based on several concepts used in some previous works but different context. There are two main concepts: a...

Significant energy savings can be realised from buildings if deviations the usual operating conditions are detected early, and appropriate measures taken. Building anomaly detection techniques automate identifying such instances by leveraging high dimensional data collected installed smart meters. Autoencoders allow for dimensionality reduction also model underlying distribution. However, these...

In view of the shortage of the single threshold energy detection in spectrum sensing, the double threshold energy detection is studied. Combined with the characteristics of OFDM spectrum efficiency, the double threshold energy detection and OFDM system are combined. The method is on the basis of OFDM with the sub-channel as the user to be perceived. According to the available subcarrier number,...

In this paper, a new fast and accurate method for fault detection, location, and classification on multi-terminal DC (MTDC) distribution networks connected to renewable energy and energy storages presented. MTDC networks develop due to some issues such as DC resources and loads expanding, and try to the power quality increasing. It is important to recognize the fault type and location in order ...

Energy detection is widely used in cognitive radio due to its low complexity. One fundamental challenge is that its performance degrades in the presence of noise uncertainty, which inevitably occurs in practical implementations. In this work, three novel detectors based on uniformly distributed noise uncertainty as the worst-case scenario are proposed. Numerical results show that the new detect...

The change of crowd energy is a fundamental measurement for describing a crowd behavior. In this paper, we present a crowd abnormal detection method based on the change of energy-level distribution. The method can not only reduce the camera perspective effect, but also detect crowd abnormal behavior in time. Pixels in the image are treated as particles, and the optical flow method is adopted to...