Abstract: An automated guided vehicle (AGV) includes an image capturing device, a storage device, a fetching device, a driving device and a processor. The processor is configured to execute: controlling the AGV to move from a starting position to a target position according to a navigation coordinate system, the target position corresponding to the object to be fetched; capturing a depth image from the object to be fetched through the image capturing device; performing image recognition on the depth image to obtain reference pixel information; converting the reference pixel information to the navigation coordinate system according to a coordinate mapping algorithm to obtain a calibrated position; and determining an object-fetching route according to the target position and the calibrated position, and controlling the AGV to move according to the object-fetching route to fetch the object to be fetched.

Abstract: An embodiment for automatically controlling peripheral devices based on online meeting participant information. The embodiment may detect participants of an online meeting and generate a participant information table. The embodiment may generate a participant group table including one or more preliminary participant groups based on the participant information. The embodiment may generate and send audio through peripheral devices associated with at least one participant in each of the one or more preliminary participant groups to identify the participants in physically shared meeting spaces. The embodiment may update the participant group table to include confirmed participant groups based on the identified participants in the physically shared meeting spaces. The embodiment may determine a presenter for each of the confirmed participant groups and update the participant information.

Abstract: A method for constructing a sentiment classification model based on metaphor identification is disclosed, including: constructing a metaphor training corpus, and training a first pre-trained language model using the metaphor training corpus to obtain a metaphor recognition model; constructing and inputting a sentiment classification corpus into a second pre-trained language model and the metaphor recognition model to extract an explicit characteristic value and a metaphor information characteristic value of a text in the sentiment classification corpus; combining the explicit characteristic value and the metaphor information characteristic value to obtain a comprehensive characteristic value which is input to a feedforward neural network and a binary classification softmax layer to obtain a sentiment classification result; and performing optimization training based on the sentiment classification result using BP algorithm to obtain an optimal sentiment classification model.

Abstract: Disclosed herein are a cannabidiol (CBD)-containing bio-based polyurethane composite material and a preparation thereof. The composite material is prepared from a component A and a component B in a weight ratio of 100:(20-50), where the component A includes 40-60 parts by weight of a vegetable oil-based polyol, 35-50 parts by weight of polyether polyol I, 0-10 parts by weight of polyether polyol II, 0.5-5 parts by weight of CBD, 0-5 parts by weight of a natural pigment, 0.5-3 parts by weight of silicon oil, 0-5 parts by weight of a cross-linking agent, 0.2-1 part by weight of a catalyst and 0.8-4 parts by weight of water, and the component B includes 20-50 parts by weight of modified methylene diphenyl diisocyanate (MDI).

Abstract: Disclosed herein are a cannabidiol (CBD)-containing bio-based polyurethane composite material and a preparation thereof. The composite material is prepared from a component A and a component B in a weight ratio of 100:(20-50), where the component A includes 40-60 parts by weight of a vegetable oil-based polyol, 35-50 parts by weight of polyether polyol I, 0-10 parts by weight of polyether polyol II, 0.5-5 parts by weight of CBD, 0-5 parts by weight of a natural pigment, 0.5-3 parts by weight of silicon oil, 0-5 parts by weight of a cross-linking agent, 0.2-1 part by weight of a catalyst and 0.8-4 parts by weight of water, and the component B includes 20-50 parts by weight of modified methylene diphenyl diisocyanate (MDI).

Abstract: An artificial intelligence voice interaction method and a near-end electronic device thereof are disclosed. The method includes the following steps: receiving a voice input by a user; transmitting the voice to a remote artificial intelligence server; determining whether the voice has ended; when determining that the voice has ended and has not received a stop recording signal transmitted by the remote artificial intelligence server, it stops transmitting the voice to the remote artificial intelligence server; before determining that the voice has ended, and has received the stop recording signal from the remote artificial intelligence server, it stops transmitting the voice to the remote artificial intelligence server; and receiving a response signal send back from the remote artificial intelligence server.

Abstract: A method of detecting audio input mode applied to an electronic device is disclosed. According to how the user presses the start button of the electronic device, the audio input mode is determined to be a short-press mode or a long-press mode. The method of detecting an audio input mode includes: detecting if a pressing time of the start button is less than a threshold time; if so, determining that the audio input mode is the short-press mode; if not, detecting if an audio time of the receiving audio of the microphone exceeds an audio threshold time during the pressing time; if so, determining that the audio input mode is the long-press mode; if not, determining that the audio input mode is the short-press mode.

Abstract: The invention discloses an antibacterial mildewproof polyurethane composite material containing natural plant and a preparing method thereof. The composite material comprises component A and component B with a ratio of component A and component B being 100:(20-50) by weight. The component A by weight comprises: 30-60 parts plant oil polyether polyols; 20-50 parts polyether polyols I; 5-20 parts polyether polyols II; 5-20 parts composite plant extract; 0-0.5 parts catalyst; 0.5-2 parts surfactant; 0-2 parts cross-linking agent; 1.5-3 parts foaming agents. The component B by weight comprising 20-50 parts modified MDI. The composite material made according to the preparation method of the invention shows a good stability and the polyurethane products made according to the preparation method is degradable. The antibacterial mildewproof natural plant adopted by the composite material in the invention enables the composite material to prevent the bacteria breeding effectively and provides environmental protection.

Abstract: The invention discloses an antibacterial mildewproof polyurethane composite material containing natural plant and a preparing method thereof. The composite material comprises component A and component B with a ratio of component A and component B being 100:(20-50) by weight. The component A by weight comprises: 30-60 parts plant oil polyether polyols; 20-50 parts polyether polyols I; 5-20 parts polyether polyols II; 5-20 parts composite plant extract; 0-0.5 parts catalyst; 0.5-2 parts surfactant; 0-2 parts cross-linking agent; 1.5-3 parts foaming agents. The component B by weight comprising 20-50 parts modified MDI. The composite material made according to the preparation method of the invention shows a good stability and the polyurethane products made according to the preparation method is degradable. The antibacterial mildewproof natural plant adopted by the composite material in the invention enables the composite material to prevent the bacteria breeding effectively and provides environmental protection.

Abstract: An artificial intelligence voice interaction method and a near-end electronic device thereof are disclosed. The method includes the following steps: receiving a voice input by a user; transmitting the voice to a remote artificial intelligence server; determining whether the voice has ended; when determining that the voice has ended and has not received a stop recording signal transmitted by the remote artificial intelligence server, it stops transmitting the voice to the remote artificial intelligence server; before determining that the voice has ended, and has received the stop recording signal from the remote artificial intelligence server, it stops transmitting the voice to the remote artificial intelligence server; and receiving a response signal send back from the remote artificial intelligence server.

Abstract: A method of detecting audio input mode applied to an electronic device is disclosed. According to how the user presses the start button of the electronic device, the audio input mode is determined to be a short-press mode or a long-press mode. The method of detecting an audio input mode includes: detecting if a pressing time of the start button is less than a threshold time; if so, determining that the audio input mode is the short-press mode; if not, detecting if an audio time of the receiving audio of the microphone exceeds an audio threshold time during the pressing time; if so, determining that the audio input mode is the long-press mode; if not, determining that the audio input mode is the short-press mode.

Abstract: An electronic device includes an image capture module and a processing unit. The image capture module is used for capturing a user's face image. The processing unit includes an image analysis module and an inquiry module. The image analysis module is signally connected to the image capture module for analyzing the face image and obtaining age data according to a face recognition result. The inquiry module is signally connected to the image analysis module for obtaining a user's hearing data according to the age data, wherein the hearing data is the minimum volume data audible to the user for different frequencies of sound.

Abstract: An electronic device includes an image capture module and a processing unit. The image capture module is used for capturing a user's face image. The processing unit includes an image analysis module and an inquiry module. The image analysis module is signally connected to the image capture module for analyzing the face image and obtaining age data according to a face recognition result. The inquiry module is signally connected to the image analysis module for obtaining a user's hearing data according to the age data, wherein the hearing data is the minimum volume data audible to the user for different frequencies of sound.

Abstract: A method for recording a playback setting of sound is disclosed. The method is applied to an electronic device having an equalizer and includes the following steps of: acquiring an archival data of a sound file played by the electronic device; receiving a set record command; acquiring a gain setting data of the equalizer according to the set record command; pairing the archival data with the gain setting data to generate a pairing data; and saving the pairing data.

Abstract: An electronic device includes an audio player and a processing unit. The processing unit includes a detection module, a timer module, and a control module. The detection module is used to detect an output volume produced currently when the audio player produces sound and to determine whether the output volume conforms to a volume control standard. The timer module is signally connected with the detection module and used to calculate the cumulative time during which the output volume produced by the audio player conforms to the volume control standard when the output volume conforms to the volume control standard and to determine whether the cumulative time equals the control time. The control module is signally connected with the timer module and used to control the audio player to decrease the volume of an output sound or to stop outputting sound when the cumulative time equals the control time.

Abstract: A method for recording a playback setting of sound is disclosed. The method is applied to an electronic device having an equalizer and includes the following steps of: acquiring an archival data of a sound file played by the electronic device; receiving a set record command; acquiring a gain setting data of the equalizer according to the set record command; pairing the archival data with the gain setting data to generate a pairing data; and saving the pairing data.

Abstract: A method of choosing a software button is applied on a computer with a touch screen. A plurality of software buttons are displayed on the touch screen. The groups of software buttons/software buttons will be set by turns as one target group of software buttons/target software button. A user touches any place on the touch screen to choose the target group of software buttons/target software button.