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31results about How to "Fast attack" patented technology

Compressor augmented array processing

The present invention relates generally to the use of compressors, with an optional noise extractor, to improve audio sensing performance of one or more microphones. The audio sensing performance of a single element microphone array with dynamic range compression can be improved by the use of a noise extractor, to modify the operation of the compressor, typically to avoid noise floor amplification. Dynamic range compression can be applied to the output of two or more element microphone array processing with the optional use of a noise extractor. Dynamic range compression can precede the microphone array processing with the optional use of a noise extractor. Syllabic dynamic range compression may be used in one or more element microphone arrays, with the optional use of a noise extractor, which increases speech recognition accuracy.
Owner:BIZJAK KARL M

Aqueous liquid detergent formulation comprising enzyme particles

The present invention relates to an aqueous liquid laundry formulation comprising an ester based laundry ingredient; an effective cleaning amount of protease enzyme; an effective cleaning amount of lipase enzyme; and from 5 to 60 wt % surfactant; wherein at least 70 wt % of the effective cleaning amount of lipase enzyme is encapsulated and separated from the ester based laundry ingredient and the liquid by a coating which is insoluble in the formulation but which dissolves on dilution with the wash; and wherein the laundry formulation comprises at least 20 wt % water.
Owner:CONOPCO INC D B A UNILEVER

Laser dazzling electric shock fighting shield

InactiveCN104121823AFast attackFast defenseShieldsElectricityShortest distance
The invention discloses a laser dazzling electric shock fighting shield and belongs to the technical field of security and photoelectricity. A metal net is arranged inside the shield, an electric shock head is fixedly installed on the outer side face of the shield and makes contact with the metal net, the face, provided with a groove, of a shock absorption pad is fixedly connected with the inner side face of the shield, a power source, a high-voltage electric shock circuit and a laser source are fixedly installed in the groove of the shock absorption pad, the emitting end of the laser source corresponds to a laser emitting hole in the shield, the power source is connected with the high-voltage electric shock circuit and the laser source, the high-voltage electric shock circuit is connected with the metal net, the power source, the high-voltage electric shock circuit and the metal net form a discharge loop, and the power source and the laser source form a power supply loop; an arm band and a handle are fixedly installed on the surface of the shock absorption pad; a control switch is installed on one side of the handle and used for controlling on and off of the discharge loop and the power supply loop. The laser source is turned on to dazzle thugs from a long distance, and the high-voltage electric shock circuit is switched on to discharge electricity to cutters used by the thugs to strike the cutters off within a short distance.
Owner:大连淡宁实业发展有限公司

Industrial control system intrusion attack and clue discovery method based on deep learning

The invention provides an industrial control system intrusion attack and clue discovery method based on deep learning. Intrusion detection is part of the initial phase of an industrial control system security system. Due to the importance of an industrial control system, the decision of the professional of the security system is still the most important. Therefore, the role of simple intrusion alarms in the security system is very limited. An intrusion detection model based on deep learning is difficult to provide more information due to unexplained reasons thereof, which limits the application of a deep learning method in the field of industrial control network intrusion detection. Aiming at the limitation, the invention analyzes the distribution of classification related information and irrelevant information in each layer of a deep learning model from the perspective of information, so as to find the possibility that the hidden layer of a deep learning classification model can be analyzed. Finally, a hierarchical propagation method maps relevant information from the hidden layer to an input layer. Difficult-to-understand information is transformed into understandable information, which helps the professional to lock and process intrusion threats faster.
Owner:BEIJING UNIV OF TECH
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