Abstract: Disclosed is a graph convolution auto-encoder based method for computing road network similarity. The method includes: creating a dual graph of a road network, and giving road network space feature information to nodes of the dual graph from three aspects of global, local and connection characteristics on the basis of a relation principle between an entire structure and parts of the structure, such that a quantitative expression of a road network graph structure is obtained; aggregating and updating node feature information and structure information of a road network graph by the graph convolution auto-encoder, and forming a deep understanding of the road network, such that a coded expression of node information of the road network is obtained; and mapping a complex high-dimensional feature space to an easy-to-measure low-dimensional feature space through an average pooling operation, so as to obtain a set of feature vectors, and computing the similarity.

Abstract: The present disclosure relates to a method and an apparatus, an electronic device and a storage medium for web search. The method includes: acquiring a steady-state visual evoked potential in EEG information, where the steady-state visual evoked potential is generated when a user gazes at a key on a query inputting keyboard in a visual spelling page; sending the steady-state visual evoked potential to a server, such that the server, based on the steady-state visual evoked potential, determines a character string inputted by the user, and a landing page corresponding to the character string; and in response to receiving the landing page sent by the server, displaying the landing page.

Abstract: The present invention provides a virtual keyboard for inputting Chinese characters and a configuring method thereof, an input method, and a Chinese character input system. The configuring method includes the following steps: setting a geometric layout of the virtual keyboard; and setting initials and finals on available keys of the virtual keyboard respectively using a cost function-based search algorithm so as to obtain an optimal layout of initial keys and final keys, wherein the initial keys and the final keys in the optimal layout are set based on a minimum cost function value for spelling all Chinese syllables, and the minimum cost function value is a minimum sum of weighted distances of the initial keys and the final keys for all the Chinese syllables.

Abstract: The present invention provides a virtual keyboard for inputting Chinese characters and a configuring method thereof, an input method, and a Chinese character input system. The configuring method includes the following steps: setting a geometric layout of the virtual keyboard; and setting initials and finals on available keys of the virtual keyboard respectively using a cost function-based search algorithm so as to obtain an optimal layout of initial keys and final keys, wherein the initial keys and the final keys in the optimal layout are set based on a minimum cost function value for spelling all Chinese syllables, and the minimum cost function value is a minimum sum of weighted distances of the initial keys and the final keys for all the Chinese syllables.

Abstract: The present disclosure relates to a method and an apparatus, an electronic device and a storage medium for web search. The method includes: acquiring a steady-state visual evoked potential in EEG information, where the steady-state visual evoked potential is generated when a user gazes at a key on a query inputting keyboard in a visual spelling page; sending the steady-state visual evoked potential to a server, such that the server, based on the steady-state visual evoked potential, determines a character string inputted by the user, and a landing page corresponding to the character string; and in response to receiving the landing page sent by the server, displaying the landing page.

Abstract: A double-robot system for detecting a flaw of a rim or a spoke includes a movable cart, a lifting platform, a lifting rotating mechanism, and robots. The lifting platform is movably connected to the movable cart in a vertical direction. The lifting rotating mechanism is disposed on the lifting platform. A wheel lifting arm is disposed on each of the left side and the right side of the lifting rotating mechanism. The wheel lifting arms are used for lap joint on a rail where a wheel in detection is located. One robot is fixedly connected to each of the front side and the rear side of the lifting rotating mechanism. Each robot is provided with a tread carrier. The lifting rotating mechanism is also provided with two inner carriers.

Abstract: A touch interaction processing method, device, and system. The touch interaction processing method includes: receiving first information sent by an electromyographic signal collection device and second information sent by a location capturing device (101); if it is determined that a time gap between a first touch start time and a second touch start time is less than a preset threshold, and a quantity of touch points that is corresponding to a hand gesture is the same as a quantity of touch points that is included in the second information, generating a touch instruction, where the touch instruction includes a device identifier of the electromyographic signal collection device, the hand gesture, and coordinate information of each touch point (103); and performing an interaction operation corresponding to the touch instruction (105).

Abstract: A double-robot system for detecting a flaw of a rim or a spoke includes a movable cart, a lifting platform, a lifting rotating mechanism, and robots. The lifting platform is movably connected to the movable cart in a vertical direction. The lifting rotating mechanism is disposed on the lifting platform. A wheel lifting arm is disposed on each of the left side and the right side of the lifting rotating mechanism. The wheel lifting arms are used for lap joint on a rail where a wheel in detection is located. One robot is fixedly connected to each of the front side and the rear side of the lifting rotating mechanism. Each robot is provided with a tread carrier. The lifting rotating mechanism is also provided with two inner carriers.

Abstract: A touch interaction processing method, device, and system. The touch interaction processing method includes: receiving first information sent by an electromyographic signal collection device and second information sent by a location capturing device (101); if it is determined that a time gap between a first touch start time and a second touch start time is less than a preset threshold, and a quantity of touch points that is corresponding to a hand gesture is the same as a quantity of touch points that is included in the second information, generating a touch instruction, where the touch instruction includes a device identifier of the electromyographic signal collection device, the hand gesture, and coordinate information of each touch point (103); and performing an interaction operation corresponding to the touch instruction (105).

Abstract: An action recognition method based on a surface electromyography signal includes obtaining surface electromyography signals of multiple channels, determining a valid surface electromyography signal according to the surface electromyography signals of the multiple channels, determining a frequency of the valid surface electromyography signal, and determining, according to the frequency of the valid surface electromyography signal, a body action corresponding to the surface electromyography signals of the multiple channels. A frequency of a surface electromyography signal is irrelevant to a feature such as signal strength, therefore, the method can significantly improve accuracy of action recognition based on a surface electromyography signal. Moreover, with a frequency being used as a recognition feature, a user does not need to conduct an action with a large range, which brings better user experience.

Abstract: A control method and a sense organ testing method based on steady state brain evoked response include the steps of: generating one or multiple stimulus signal(s) varying in various frequencies that can be sensed by sense organs of human subject; detecting the brain electrical signal of stimulated human subject; analyzing the detected brain electrical signal to extract the characteristic physical quantity corresponding to the frequency of a stimulus signal; and, according to the characteristic physical quantity, controlling a specific device corresponding to the stimulus signal to perform a preprogrammed operation or objectively evaluating the condition of the sense organ of the subject.