Abstract: A bolter miner includes a rack, a cutting device and a bolt support device. The cutting device is configured for a cutting operation and is arranged on the rack to swing up and down. The bolt support device includes a lifting assembly, a work platform, a first drilling frame assembly and a stabilization assembly. The lifting assembly is arranged between the rack and the work platform and is configured to lift the work platform. The first drilling frame assembly and the stabilization assembly are arranged on the work platform. The first drilling frame assembly has a bolt support position and an avoidance position. The work platform can extend and retract to switch the bolt support position and the avoidance position of the first drilling frame assembly. The stabilization assembly can be supported between the cutting device and a tunnel roof, so as to enhance the stability of the first drilling frame assembly during a bolt support operation.

Abstract: A robot includes a housing including a first shell and a second shell and having a first configuration and a second configuration, a rack disposed in an inner cavity of the housing, a telescopic assembly disposed on the rack and connected between the first shell and the second shell, and a rotary wing assembly disposed on the rack and having a folded configuration and a flight configuration. The rotary wing assembly includes: a folding arm with one end rotatably connected to the rack, a rotary wing, and a tilting arm connected between the rotary wing and the folding arm, the tilting arm and the rotary wing are extended to an outside of the housing to be adapted to drive the robot to fly in the flight configuration, and the tilting arm is rotatable relative to the folding arm to adjust a rotation direction of the rotary wing.

Abstract: A method for measuring drop time of a control rod cluster integrated with a rod position measurement device is provided, wherein the method is used to measure the drop time of each control rod cluster, and includes: Si, monitoring a voltage Ua of coils in Group A to capture a rod cluster drop signal; S2, searching a point (tmax, Vmax) with a maximum drop speed or with a local maximum drop speed; S3, retroactively calculating, from tmax, an end of a time period T4 when the control rod cluster starts to drop; S4, retroactively searching, from a minimum value point of a drop reference signal DROPref, a start of the time period T4 when the drop reference signal DROPref drops from a maximum value to 33% thereof; and S5, determining, from tmax forward, a time point t6 when a drop speed of the control rod cluster is lower than 0.

Abstract: An amphibious robot includes a housing including a first shell and a second shell and having a first configuration and a second configuration, a rack disposed in an inner cavity of the housing, a telescopic assembly disposed on the rack and connected between the first shell and the second shell, and a rotary wing assembly disposed on the rack and having a folded configuration and a flight configuration. The rotary wing assembly includes: a folding arm with one end rotatably connected to the rack, a rotary wing, and a tilting arm connected between the rotary wing and the folding arm, the tilting arm and the rotary wing are extended to an outside of the housing to be adapted to drive the robot to fly in the flight configuration, and the tilting arm is rotatable relative to the folding arm to adjust a rotation direction of the rotary wing.

Abstract: Embodiments of the present disclosure provide an effect display method, apparatus and device, a storage medium, and a product. The method includes: acquiring an effect trigger instruction, the effect trigger instruction corresponding to a first image frame in a streaming media content of a live stream room, and the effect trigger instruction also corresponding to first effect information; in response to the effect trigger instruction, determining target effect information according to the first effect information and a target object in the first image frame; and sending the target effect information to a first client device associated with the live stream room, so that the first client device displays an effect corresponding to the target effect information.

Abstract: Provided are a video generation method, an electronic device, and a non-transitory computer-readable storage medium. The implementation scheme is as follows: a place path of at least two target events is planned in an electronic map according to occurrence places of the at least two target events and occurrence time of the at least two target events, where the at least two target events have a same theme; video sub-segments of the at least two target events are respectively determined to obtain at least two video sub-segments; and a target video is generated according to the at least two video sub-segments and the place path.

Abstract: A method of training an image generation model, and a method of generating an image. A specific implementation solution includes: acquiring a first image sample and a first text sample matched with the first image sample; performing an enhancement on at least one type of sample in the first image sample and the first text sample according to a predetermined knowledge graph, so as to obtain at least one type of sample in a second image sample obtained by the enhancement and a second text sample obtained by the enhancement; and training the image generation model according to a training set selected from a first training set, a second training set or a third training set, until the image generation model converges.

Abstract: A method for processing video data includes: acquiring a target segment of video data to be extracted; acquiring theme information to be extracted; and determining an association degree between the target segment and the theme information based on segment information of the video data and a relationship between the target segment and the video data.

Abstract: A method of data query based on an evaluation and a device. The method includes: obtaining evaluation data of entities and basic information of the entities from multiple websites; extracting labels of the entities according to the evaluation data of the entities and the basic information of the entities; filtering the evaluation data of the entities; aggregating to obtain evaluation data of the same type of entities having the same label according to the basic information of the entities, the labels of the entities and the filtered evaluation data of the entities; and making a query to obtain information on a target entity according to a retrieval statement and the aggregated evaluation data of the same type of entities for each label. The method can make a query for information on a type of entities for a user, so that the user can compare the entities.

Abstract: A method, apparatus and device for quality control and storage media relate to the field of artificial intelligence technology, particularly to the field of natural language understanding and knowledge graphs, which may be applied in the medical field. The method includes: acquiring text information to be detected and domain of the text information; acquiring preset questions and machine reading comprehension model according to the domain; inputting the questions and the text information into the machine reading comprehension model to obtain extracted answers; outputting quality control information in response to the answers being not empty.

Abstract: A method of data query based on an evaluation and a device. The method includes: obtaining evaluation data of entities and basic information of the entities from multiple websites; extracting labels of the entities according to the evaluation data of the entities and the basic information of the entities; filtering the evaluation data of the entities; aggregating to obtain evaluation data of the same type of entities having the same label according to the basic information of the entities, the labels of the entities and the filtered evaluation data of the entities; and making a query to obtain information on a target entity according to a retrieval statement and the aggregated evaluation data of the same type of entities for each label. The method can make a query for information on a type of entities for a user, so that the user can compare the entities.

Abstract: An input method editor (IME) described herein couples scenarios of the input of the user with specific network services to offer more relevant and richer candidates for higher input productivity. Data relating to a computer application in which the input candidates are to be input and/or context relating to a user-submitted query is collected and analyzed to determine a scenario. The input candidates may include text candidates and rich candidates. The IME may select a scenario-tuned and type specific engine to identify the text candidates and/or rich candidates. The scenario-tuned text candidate engines leverage scenario-tuned language models and lexicons, and the scenario-tuned rich candidate engines leverage scenario-relevant web services, such as image, mapping, and video search, when available and appropriate.