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Network always suffers from the traffic anomaly such as router rate change, device restart or the worm attack. The early detection of unusual anomaly in the network is a key to fast recover and avoidance of future serious problem to provide a stable network transmission. In this paper we present a statistical approach to analysis the distribution of network(More)
The gear box fault occur can lead to the fatal breakdown of mechanical system. Back propagation neural network (BPNN) have been proved to be of widespread utility for identifying and classifying gear box faults to prevent serious damage in a mechanical system. Some researchers have used particle swarm optimization (PSO) to train BPNN. However, because the(More)
As the viewing range of the existing fire detection devices is normally short, and directional detection of the flame can not be achieved, it can not be used in many cases. An optical design and implementation based on flame pyroelectric sensor are present in this paper. Two types of directional flame detection are provided. One is to achieve plane-type(More)
In the field of modern national defense and civilian technology, we often need to precisely adjust a bearing platform. The platform with certain equipment to the horizontal position improves the system performance. Short time, high speed, high precision and well stability is required in the leveling system. However, the leveling system is a nonlinear(More)
From the microeconomic views, research on merger & acquisition is the basis on which entrepreneurs and supervisors set down plan with market for corporate control, which plays an important role in improving corporate governance of Chinese listed companies in theory. This dissertation devoted to a more sound interpretation to abnormal market response to(More)