Abstract: A device communication method applied to a field of communication technologies includes, in a process in which a user uses a mobile phone to assist a large-screen device with input, that another auxiliary device in a same distributed network as the large-screen device and the mobile phone preempts auxiliary input of the mobile phone and further assists, based on input content on the mobile phone, the large-screen device with input.

Abstract: A predictive maintenance system and method for intelligent manufacturing equipment is provided. The predictive maintenance system includes a first-stage predictive maintenance module, a second-stage predictive maintenance module, and a maintenance decision module. The first-stage predictive maintenance module includes an acquisition module, a human-computer interaction module, a calculation module, and a storage module. The second-stage predictive maintenance module includes a communication module, a setting module, and a prediction module. The maintenance decision module is configured to receive a first-stage remaining service life calculated by the first-stage predictive maintenance module and a second-stage remaining service life predicted by the second-stage predictive maintenance module, and determine a predictive maintenance strategy of the intelligent manufacturing equipment according to the first-stage remaining service life and the second-stage remaining service life.

Abstract: Disclosed are devices, systems and methods for providing efficient implementations for pattern recognition. Embodiments of the disclosed technology use local binary comparisons and random projection in place of conventional convolution operations. Some embodiments of the disclosed technology provide an important means to improve memory and speed efficiency that is particularly suited for small footprint devices and hardware accelerators. Other embodiments compare a binary pattern to one or more portions of an input image to determine a plurality of binary results, and generate an estimate of the feature based on the plurality of binary results. Yet other embodiments generate an final image, comprising a final estimate of the feature, by randomly selecting one or more portions from each of a plurality of initial images, wherein each of the plurality of initial images comprises an initial estimate of the feature.

Abstract: Disclosed are devices, systems and methods for providing efficient implementations for pattern recognition. Embodiments of the disclosed technology use local binary comparisons and random projection in place of conventional convolution operations. Some embodiments of the disclosed technology provide an important means to improve memory and speed efficiency that is particularly suited for small footprint devices and hardware accelerators. Other embodiments compare a binary pattern to one or more portions of an input image to determine a plurality of binary results, and generate an estimate of the feature based on the plurality of binary results. Yet other embodiments generate an final image, comprising a final estimate of the feature, by randomly selecting one or more portions from each of a plurality of initial images, wherein each of the plurality of initial images comprises an initial estimate of the feature.