Abstract: Disclosed are a power demand side speech interaction method and system. The method includes: obtaining original demand information, the original demand information including user's basic information, user demand information, and a user demand time; converting the original demand information into first information in text format; performing text statistical analysis based on an industry term on the first information in text format, to obtain second information; searching for corresponding user's actual information from a database according to the second information; outputting the user's actual information; searching for a corresponding forecasting model from the database, according to the second information and the user's basic information; calculating, according to a policy limit value of latest policy information in the database, a time for which the model corresponding to the user's basic information reaches the policy limit value; and transmitting an early warning message.

Abstract: The present invention provides an artificial intelligence-assisted printed electronics self-guided optimization method, which integrates machine learning technology with printed electronics. According to variables that impact printing quality of a microelectronic printer, a user sets up experimental groups, prints samples with the microelectronic printer according to parameters in the experiment groups, characterizes printing effects, and evaluates the printing quality. The characterization result is analyzed by machine learning, and printing parameters that correspond to a best printing effect are obtained; then, the parameters are fed back to the user, and the user configures the printer according to the fed-back parameters, thereby improving printing quality.

Abstract: A two-channel burner includes a pulverized coal supply mechanism, a transition channel, an inner secondary air guide tube, an outer secondary air guide tube, a combustion stabilizing chamber, and a flow smoothing chamber. The outer secondary air guide tube, the combustion stabilizing chamber, and the flow smoothing chamber are sequentially connected to form a burner body. The pulverized coal supply mechanism passes through an interior of the burner body. The transition channel is fitted over the pulverized coal supply mechanism. The inner secondary air guide tube is disposed between the transition channel and the outer secondary air guide tube and forms an inner secondary air passage together with the transition channel, and forms an outer secondary air passage together with the outer secondary air guide tube. An outlet end of the inner secondary air guide tube is formed to have a flared opening.

Abstract: The present invention provides an artificial intelligence-assisted printed electronics self-guided optimization method, which integrates machine learning technology with printed electronics. According to variables that impact printing quality of a microelectronic printer, a user sets up experimental groups, prints samples with the microelectronic printer according to parameters in the experiment groups, characterizes printing effects, and evaluates the printing quality. The characterization result is analyzed by machine learning, and printing parameters that correspond to a best printing effect are obtained; then, the parameters are fed back to the user, and the user configures the printer according to the fed-back parameters, thereby improving printing quality.

Abstract: The present application provides a video frame interpolation method. The method includes the steps of: 1) successively determining a current frame, a frame prior to the current frame and a frame after the current frame of a video to which a frame to be interpolated; 2) inputting the current frame, the frame prior to the current frame and the frame after the current frame of the video to which the frames to be interpolated into a pre-configured video frame interpolation model, wherein the video frame interpolation model is configured by training a pre-set convolutional neural network model with current frames, frames prior to the current frames and frames after the current frames in a training set; and 3) performing frame interpolation on the video to which the frames to be interpolated via the video frame interpolation model, and obtaining frame interpolated video.

Abstract: The invention provides a piezoresistive electronic skin, a preparation method and a use thereof. The piezoresistive electronic skin uses carbon nanotube film as the conductive layer and uses materials provided with micro-nano patterns, such as polydimethylsiloxane, polyethylene terephthalate, polyvinyl alcohol, polyvinyl formal, polyethylene, and so on, as the substrate, enabling the substrate has advantages of high flexibility and being pliable, and it needs low operating voltage and little power consumption, but has high sensitivity and short response time. More importantly, the invention uses the patterned flexible substrate as the basis, greatly improving the sensitivity of electronic skin reacting to tiny applied force from outside. The invention also provides a capacitive electronic skin and a preparation method thereof. Further, the invention also provides a use of the piezoresistive electronic skin or the capacitive electronic skin on speech recognition, pulse detection, medical robot, etc.

Abstract: Methods, software, systems, and apparatuses that can identify bivalent reaction mechanisms using surface plasmon resonance (SPR) are provided. Methods, software, systems, and apparatuses that can identify SPR sensorgrams that fit a bivalent analyte model are also provided. A method can include recording multiple SPR sensorgrams with an analyte at different concentrations, fitting each sensorgram with a single exponential function with exponents, determining the exponents for each sensorgram and R2 values for each sensorgram, and plotting R2 versus analyte concentration and determining if an optimal concentration exists.

Abstract: The invention provides a piezoresistive electronic skin, a preparation method and a use thereof. The piezoresistive electronic skin uses carbon nanotube film as the conductive layer and uses materials provided with micro-nano patterns, such as polydimethylsiloxane, polyethylene terephthalate, polyvinyl alcohol, polyvinyl formal, polyethylene, and so on, as the substrate, enabling the substrate has advantages of high flexibility and being pliable, and it needs low operating voltage and little power consumption, but has high sensitivity and short response time. More importantly, the invention uses the patterned flexible substrate as the basis, greatly improving the sensitivity of electronic skin reacting to tiny applied force from outside. The invention also provides a capacitive electronic skin and a preparation method thereof. Further, the invention also provides a use of the piezoresistive electronic skin or the capacitive electronic skin on speech recognition, pulse detection, medical robot, etc.

Abstract: In a method for character recognition based on Gabor filter group the Gabor filter's joint spatial/spatial-frequency localization and capability to efficiently extract characters' local structural features are employed to extract, from the character image, information of the stroke direction of characters as the recognition information of characters, so as to improve the capability to resist the noises, backgrounds, brightness variances in images and the deformation of characters. Using this information, a simple and effective parameter design method is put forward to optimally design the Gabor filter, ensuring a preferable recognition performance; a corrected Sigmoid function is used to non-linearly adaptively process the stroke direction information output from the Gabor filter group. When extracting the feature from blocks, Gaussian filter array is used to process the positive and negative values output from Gabor filter group to enhance the discrimination ability of the extracted features.

Abstract: In a method for character recognition based on Gabor filter group the Gabor filter's joint spatial/spatial-frequency localization and capability to efficiently extract characters' local structural features are employed to extract, from the character image, information of the stroke direction of characters as the recognition information of characters, so as to improve the capability to resist the noises, backgrounds, brightness variances in images and the deformation of characters. Using this information, a simple and effective parameter design method is put forward to. optimally design the Gabor filter, ensuring a preferable recognition performance; a corrected Sigmoid function is used to non-linearly adaptively process the stroke direction information output from the Gabor filter group. When extracting the feature from blocks, Gaussian filter array is used to process the positive and negative values output from Gabor filter group to. enhance the discrimination ability of the extracted features.