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—Current system managers often have to process huge amounts of alerts per day, which may be produced by all kinds of security products, network management tools or system logs. This has made it extremely difficult for managers to analyze and react to threats and attacks. So an effective technique which can automatically filter and analyze alerts has become(More)
Interacting with explosively growing mobile devices is becoming imperative. This paper presents SoundWrite, a mobile acoustic sensing system that enables text input into commercial off-the-shelf devices without any accessories. SoundWrite leverages the embedded microphone to capture subtle audio signals emitted from writing text on common found surfaces(More)
a r t i c l e i n f o This paper presents a diagnostic Bayesian network (DBN) for fault detection and diagnosis (FDD) of variable air volume (VAV) terminals. The structure of the DBN illustrates qualitatively the casual relationships between faults and symptoms. The parameters of the DBN describe quantitatively the probabilistic dependences between faults(More)
WiFi signals have attracted extensive attention for context-aware due to its ubiquity. Traditional WiFi sensing methods mainly adopt Received Signal Strength Indication (RSSI), however the coarse features hamper its expansion. To achieve more finger-grained information, Channel State Information (CSI) is introduced for sensing, based on which, we design a(More)