As the complexity of production processes increases, diversity data types drives development network monitoring technology. This paper mainly focuses on an online algorithm to detect serially correlated directed networks robustly and sensitively. First, we consider a transition probability matrix resolve double correlation primary data. Further, since sum each row is one, it standardizes data, ...

In 3 experiments the author investigated the relationship between the online visual representation of natural scenes and long-term visual memory. In a change detection task, a target object either changed or remained the same from an initial image of a natural scene to a test image. Two types of changes were possible: rotation in depth, or replacement by another object from the same basic-level...

The goal of intrusion detection is to identify attempted or ongoing attacks on a computer system or network. Many attacks aim to compromise computer networks in an online manner. Traffic anomalies have been an important indication of such attacks. Challenges in the detections lie in modeling of the large continuous streams of data and performing anomaly detection in an online manner. This paper...

Traveling by high-speed rail and railway transportation have become an important part of people’s life social production. Track is the basic equipment transportation, its performance directly affects service lifetime lines vehicles. The anomaly detection fasteners in a priority, while traditional manual method extremely inefficient dangerous to workers. Therefore, this paper introduces efficien...