Abstract: A reactive power-voltage control method for integrated transmission and distribution networks is provided. The reactive power-voltage control method includes: establishing a reactive power-voltage control model for a power system consisting of a transmission network and a plurality of distribution networks; performing a second order cone relaxation on a non-convex constraint of the plurality of distribution network constraints to obtain the convex-relaxed reactive power-voltage control model; solving the convex-relaxed reactive power-voltage control model to acquire control variables of the transmission network and control variables of each distribution network; and controlling the transmission network based on the control variables of the transmission network and controlling each distribution network based on the control variables of the distribution network, so as to realize coordinated control of the power system.

Abstract: Provided are a classification method and apparatus, an electronic device and a storage medium, which relate to the field of artificial intelligence and in particular, to the fields of natural language processing and deep learning. The classification method comprises: performing coding processing on to-be-classified data to obtain a to-be-classified coding feature; determining reference coding features of reference classification data similar to the to-be-classified data according to the to-be-classified coding feature; and determining a target category of the to-be-classified data according to the reference coding features and reference categories of the reference classification data.

Abstract: A blade for use in a gas turbine engine, the blade comprising a blade portion and a fir tree root portion, the blade portion and the root portion having a connected passage for allowing cooling air to flow within the blade, the fir tree root portion having an air intake on its leading edge, the air intake allowing cooling air to enter the cooling passage and wherein the fir tree root portion comprises a plurality of projections, including at least a base projection and a top projection; and wherein the air inlet located in the base projection of the fir tree root portion and wherein the air inlet comprises at least 50% of the face of the base projection of the fir tree root portion.

Abstract: A method of recognizing an address, an electronic device, and a storage medium, which relate to fields of artificial intelligence and computer technologies, fields of knowledge graph, deep learning and cloud computing. The method includes: performing a location entity recognition on a content to be recognized, so as to obtain a target location entity, the target location entity including at least one of a standardized location entity, an alias location entity, or a landmark location entity; determining a standardized address corresponding to each type of the location entity in the target location entity according to an address graph to obtain at least one standardized address, the address graph including a standardized location entity, an alias location entity, a landmark location entity, and a corresponding relationship between location entities; and determining, from the at least one standardized address, a first target standardized address corresponding to the content to be recognized.

Abstract: A blade for use in a gas turbine engine, the blade comprising a blade portion and a fir tree root portion, the blade portion and the root portion having a connected passage for allowing cooling air to flow within the blade, the fir tree root portion having an air intake on its leading edge, the air intake allowing cooling air to enter the cooling passage and wherein the fir tree root portion comprises a plurality of projections, including at least a base projection and a top projection; and wherein the air inlet located in the base projection of the fir tree root portion and wherein the air inlet comprises at least 50% of the face of the base projection of the fir tree root portion.

Abstract: A method of processing event data, a device, and a medium are provided, which relate to fields of deep learning, natural language processing, cloud services, etc. The method of processing event data includes: determining target feature data corresponding to target event data, in response to receiving a query request containing the target event data; selecting correlated feature data from candidate feature data based on the target feature data, wherein a similarity between the correlated feature data and the target feature data meets a preset similarity condition; determining operation data associated with the correlated feature data, wherein the operation data represents a level of attention to correlated event data corresponding to the correlated feature data; and determining a level of attention to the target event data based on the operation data.

Abstract: A method of determining a location information, an electronic device, and a storage medium, which relate to a field of an artificial intelligence technology, and in particular, to fields of NLP and knowledge graph. The method includes: determining at least one location chain corresponding to a location information in a text to be recognized, wherein each of the at least one location chain includes a plurality of chain nodes cascaded according to a subordination relationship, and each level of chain node represents a current level name corresponding to the location information; and determining, from the at least one location chain, a target location chain having a greatest degree of relevance to the text to be recognized, according to a feature word indicating a location attribute in the text to be recognized.

Abstract: The present disclosure provides a method and apparatus for constructing an event library, which relate to the technical fields of deep learning, natural language processing, big data, and the like. An implementation includes: acquiring at least one event text data, the at least one event text data being to be assigned to a text library; obtaining an extraction event name based on the event text data; performing a match between the extraction event name and event information in the text library, to obtain a recalled event in the text library; detecting, based on the recalled event, whether the extraction event name meets a unifying condition; and in response to detecting that the extraction event name does not meet the unifying condition, obtaining a new event name in the event library based on the extraction event name, and adding the event text data as a new event into the text library.

Abstract: A sleeper train carriage and a sleeper train, a compartment (100) and an aisle (101) is provided within the sleeper train carriage, and a partition wall is provided between the compartment (100) and the aisle (101). The partition wall includes a compartment-side partition wall (1) and an aisle-side partition wall (2). The aisle-side partition wall (2) includes a fixed plate (21) and a movable plate (22) which are arranged in a vertical direction, the movable plate (22) is located above the fixed plate (21), an upper end of the movable plate (22) is fixedly connected to one end of a top plate of the aisle (3), the other end of the top plate of the aisle (3) is detachably connected to the side wall (4) of the train body, and a lower end of the movable plate (22) is hinged to the train body.

Abstract: A method for incrementally training a model is provided. The method includes: obtaining a first soft tag of each raw sample in a raw sample set based on a basic target model trained using the raw sample set; selecting a plurality of raw samples from the raw sample set as first samples based on the first soft tag of each raw sample; obtaining second samples and a second soft tag of each second sample; determining the first samples, the respective first soft tags, the second samples and the respective second soft tags as training samples; and generating a final target model by inputting the training samples into the basic target model for model training.

Abstract: A method, an apparatus, a device and a storage medium for embedding user app interest are provided. The method includes: acquiring a user existing app installation list and a user app installation list within a predetermined time window, where the app includes app ID information and app category information; inputting the existing app installation list and the app installation list within the predetermined time window into a pre-trained user app interest embedding model to obtain a user app interest embedding vector. By combining the user existing app installation list information and the user recent app installation list information, the user app interest embedding vector may simultaneously reflect the user long-term interest and the user short-term interest.

Abstract: A sleeper train carriage and a sleeper train, a compartment (100) and an aisle (101) is provided within the sleeper train carriage, and a partition wall is provided between the compartment (100) and the aisle (101). The partition wall includes a compartment-side partition wall (1) and an aisle-side partition wall (2). The aisle-side partition wall (2) includes a fixed plate (21) and a movable plate (22) which are arranged in a vertical direction, the movable plate (22) is located above the fixed plate (21), an upper end of the movable plate (22) is fixedly connected to one end of a top plate of the aisle (3), the other end of the top plate of the aisle (3) is detachably connected to the side wall (4) of the train body, and a lower end of the movable plate (22) is hinged to the train body.

Abstract: In one example, performance of a method facilitates an improvement in a wireless communication service provided to a user of a mobile wireless communication device, and includes receiving a user input signal indicating a perception by the user that performance of a mobile wireless communication device is unsatisfactory, retrieving, in response to receipt of the user input signal, device configuration information, and information concerning the location of a mobile wireless communication device at about the time that the user input signal was received, presenting the user with a list of user-selectable problem descriptions, and receiving a user input signal indicating user selection of one of the listed problem descriptions, transmitting, to a server, a request for assistance concerning the user-identified problem, and uploading, to the server, cached analytics stored at a mobile wireless communication device and corresponding to the selected problem description.

Abstract: A system communicatively couples a server to a plurality of mobile wireless device clients to receive and track customer care related information which has been captured on any one of the clients. The server uses information sent by a client to initiate a customer care request ticket and responds to the client request with a ticket number and request description compiled using the information from the client. A system receives from a mobile device user a request to tuneup, a devstate extracted from a cache stored in the mobile device, and proposes at least one delta devstate operation to resolve the perception; making an adjustment or guiding the user to make an adjustment to execute the proposed delta operation; and at the end of an evaluation period, offers to revert to the stored prior state; to accept the delta state; or to continue the tuneup process.

Abstract: In one example, performance of a method facilitates an improvement in a wireless communication service provided to a user of a mobile wireless communication device, and includes receiving a user input signal indicating a perception by the user that performance of a mobile wireless communication device is unsatisfactory, retrieving, in response to receipt of the user input signal, device configuration information, and information concerning the location of a mobile wireless communication device at about the time that the user input signal was received, presenting the user with a list of user-selectable problem descriptions, and receiving a user input signal indicating user selection of one of the listed problem descriptions, transmitting, to a server, a request for assistance concerning the user-identified problem, and uploading, to the server, cached analytics stored at a mobile wireless communication device and corresponding to the selected problem description.

Abstract: Disclosed is a system and method for controlling handheld devices without contact by interacting with their wireless charging coils or other inductive coil antennae. The present disclosure utilizes the interaction between human body and the coil wherein the coil is used to send alternating magnetic field to interact with a control signal, such as a hand, instead of simply using the coil in the smart phone as a power receiver. The hand movement in front of the wireless charging coil changes the coil's conductivity distribution, which creates effective coil impedance also known as reflected impedance.

Abstract: A system communicatively couples a server to a plurality of mobile wireless device clients to receive and track customer care related information which has been captured on any one of the clients. The server uses information sent by a client to initiate a customer care request ticket and responds to the client request with a ticket number and request description compiled using the information from the client. A system receives from a mobile device user a request to tuneup, a devstate extracted from a cache stored in the mobile device, and proposes at least one delta devstate operation to resolve the perception; making an adjustment or guiding the user to make an adjustment to execute the proposed delta operation; and at the end of an evaluation period, offers to revert to the stored prior state; to accept the delta state; or to continue the tuneup process.

Abstract: A system communicatively couples a server to a plurality of mobile wireless device clients to receive and track customer care related information which has been captured on any one of the clients. The server uses information sent by a client to initiate a customer care request ticket and responds to the client request with a ticket number and request description compiled using the information from the client.