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101 results about "Sexual behavior" patented technology

Method for event synchronisation, especially for processors of fault-tolerant systems

Redundant systems are often provided with identically mounted processor boards which function according to a lockstep operation. The basic condition for the implementation of a lockstep system is the deterministic behaviour of all of the constituents contained in the board, such as CPUs, chip sets, main memory etc. According to the invention, deterministic behaviour signifies that said constituents supply identical results at identical times, in an error-free case, when the constituents receive identical stimuli at identical times. Deterministic behaviour also presupposes the use of interfaces in clock-controlled synchronism. Asynchronous interfaces cause a certain temporal indeterminacy in the system in many cases, whereby the entire synchronised behaviour of the system cannot be maintained. In order to thus be able to carry out a lockstep operation, the invention relates to a method for the synchronisation of external events which are supplied to a processor (CPU) and influence the same. The external events are intermediately stored accordingly and the processors are presented at identical points in the execution of commands. Problems which are created by the capacity of modern processors to execute commands in parallel are avoided by the fact that the parallel execution of the processors is stopped before the desired point in the command execution is reached and said point is then reached exactly in the single step mode.
Owner:SIEMENS AG

Double-flow network behavior recognition method based on space-time significant behavior attention

The invention discloses a double-flow network behavior recognition method based on space-time significant behavior attention, and belongs to the field of machine vision. The method adopts a network architecture based on a space-time double-flow network, and the network architecture is called as a space-time significant behavior attention network ST-SAMANet. For the problems of large memory consumption and excessive redundant information caused by directly inputting RGB frames and optical flow frames in a traditional double-flow network, a key frame mechanism is introduced to obtain the maximum difference between frames, and the memory consumption of a time network is remarkably reduced. Besides, in the network, a large number of feature redundancy and background disturbance exist on frames, and the performance of the network is greatly influenced. Mask R-CNN technology is introduced into a network, a human body and an object in each behavior category are highly concerned, and featureextraction is carried out on a salient region on each frame. Finally, the bidirectional LSTM and the C3D network are used to encode the space-time to obtain complete space-time information, and the robustness of the behavior recognition model is improved.
Owner:JIANGNAN UNIV
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