Abstract: An inflatable folding tunnel reinforcement structure and a construction method thereof are provided. The inflatable folding tunnel reinforcement structure includes an inflation port, an airbag, a water blocking net, a steel plate, a scissor folding mechanism, a vertical support plate, an arc-shaped support plate, drainage channels, an upper support rod, a lower support rod, a locking pin, a threaded steel rod, a rolling connection pin, and an induction motor, where the upper support rod and the lower support rod are unfolded in opposite directions to a preset position through the steel rod; and the drainage channels are configured to perform water guidance and resistance for a leakage-proofing purpose. The construction method includes: preparation before construction, device fixation, on-site construction, structural inspection, and site cleaning. The present disclosure can treat various tunnel defects efficiently and conveniently and achieve a desired leakage-proofing effect.

Abstract: Techniques for automatically switching between chatbot skills in the same domain. In one particular aspect, a method is provided that includes receiving an utterance from a user within a chatbot session, where a current skill context is a first skill and a current group context is a first group, inputting the utterance into a candidate skills model for the first group, obtaining, using the candidate skills model, a ranking of skills within the first group, determining, based on the ranking of skills, a second skill is a highest ranked skill, changing the current skill context of the chatbot session to the second skill, inputting the utterance into a candidate flows model for the second skill, obtaining, using the candidate flows model, a ranking of intents within the second skill that match the utterance, and determining, based on the ranking of intents, an intent that is a highest ranked intent.

Abstract: Disclosed is an open earphone, comprising a sound production component and an ear hook. The ear hook may include a first portion and a second portion connected in sequence. The first portion may be hung between the auricle of a user and the head of the user, the second portion may extend toward a front outer side of the auricle and connect the sound production component, and the sound production component may be located close to the ear canal but not block the opening of the ear canal; wherein the sound production component and the auricle may have a first projection and a second projection on a sagittal plane, respectively, a centroid of the first projection may have a first distance from a highest point of the second projection in a vertical axis direction, a ratio of the first distance to a height of the second projection in the vertical axis direction may be within a range of 0.25-0.

Abstract: The present disclosure relates to a user equipment, a network side device, a wireless communication method and a storage medium. The user equipment of the present disclosure comprises a processing circuit, the processing circuit being configured to: generate channel occupancy time (COT) sharing indication information, wherein the COT sharing indication information comprises time frequency resources used by other user equipments when the user equipment shares a COT with the other user equipments; and send the COT sharing indication information to the other user equipments. By using the user equipment, the network side device, the wireless communication method and the storage medium of the present disclosure, COT sharing can be supported in a D2D communication mode, thereby enabling a channel to be utilized more reasonably, and simplifying a usage process of an unauthorized frequency band in D2D communication.

Abstract: The present disclosure relates to a method and system for evaluating the macro resilience of offshore oil well control equipment. The method for evaluating the macro resilience of offshore oil well control equipment comprises six steps: determining the type and strength of external disaster; calculating the failure rate of components; calculating the recovery rate of the components; modeling the BN for a degradation process; modeling the BN for a maintenance process; and calculating the resilience of the offshore oil well control equipment. A system for evaluating the macro resilience of offshore oil well control equipment comprises an external disaster evaluation module, a component failure rate calculation subsystem, a reliability degradation process simulation module, a fault identification module, a component recovery rate calculation module, a reliability recovery process simulation module, a reliability change curve derivation unit and an resilience calculation unit.

Abstract: A patch antenna includes a plurality of patch units, a first feeding branch, and a second feeding branch. The plurality of patch units is symmetric relative to a virtual symmetry axis. The plurality of patch units is arranged at intervals. A gap is formed between adjacent patch units, and the adjacent patch units are coupled through the gap. The first feeding branch and the second feeding branch are symmetric relative to the symmetry axis, and each of the first feeding branch and the second feeding branch is electrically connected to at least one patch unit of the plurality of patch units. The first feeding branch is configured for a first polarization of the patch antenna, and the second feeding branch is configured for a second polarization of the patch antenna.

Abstract: The present disclosure describes techniques of performing machine unlearning in a recommendation model. An unlearning process of the recommendation model may be initiated in response to receiving a request for deleting a fraction of user data from any particular user. The recommendation model may be pre-trained to recommend content to users based at least in part on user data. Values of entries in a matrix corresponding to the fraction of user data may be configured as zero. The matrix may comprise entries denoting preferences of users with respect to content items. Confidence values associated with the fraction of user data may be configured as zero to block influence of the fraction of user data on performance of the recommendation model. The unlearning process may be implemented by performing a number of iterations until the recommendation model has converged.

Abstract: A clamping triaxial seepage and acoustic coupling rock tensile testing machine includes a sample and a scaffold-type tensile testing device. The scaffold-type tensile testing device has an upper chuck and a lower chuck. The upper chuck has an acoustic transmitting channel, one end of which communicating with the outside, and the other end of which having an acoustic transmitting probe. The lower chuck has an acoustic receiving channel, one end of which communicating with the outside, and the other end having acoustic receiving probe. An upper end face of the sample has with a seepage outflow hole while the upper chuck has a seepage outflow channel connected with the seepage outflow hole. A lower end face of the sample has a seepage inflow hole while the lower chuck has a seepage entry channel is connected with the seepage inflow hole.

Abstract: An online meeting system begins the process of connecting a user to an online meeting when a request is received from a user to start or join the online meeting. In response to the request, a pre-meeting user interface (UI) is displayed having a user interface control which, when activated, enables transmission of audio and/or video data for the online meeting, and prior to activation of the control, connection parameters are shared with an online meeting service to preheat the meeting. In response to activation of the control, transmission of audio and/or video data for the online meeting is enabled.

Abstract: Systems and methods are described for disambiguating user input based on a physical location of items in a vicinity of a user. The system determines that a query received from a user contains an ambiguity. In response, the system identifies several items in the physical vicinity of the user. Then, the system analyzes the identified plurality of items to determine whether the plurality of items forms a first ensemble of items or a second ensemble of items. If the plurality of items forms a first ensemble of items, the system performs a search using the search query and a first keyword related to the first ensemble of items. If the plurality of items forms a second ensemble of items, the system performs a search using the search query and a second keyword related to the second ensemble of items. The system then outputs results of the performed search.

Abstract: A data management system includes a storage device storing a data relating to a target as an original data, and at least one node storing a blockchain. The at least one node includes a processor and a memory. The memory stores a computer readable instruction. When executed by the processor, the instruction causes the processor, when storing the original data, to select a hash function from a hash function list, acquire a hash value of the original data as an original hash value, and store the original hash value and a hash function identification information on the blockchain.

Abstract: An augmentation and feature caching subsystem is described for training AI/ML models. In one particular aspect, a method is provided that includes receiving data comprising training examples, one or more augmentation configuration hyperparameters and one or more feature extraction configuration hyperparameters; generating a first key based on one of the training examples and the one or more augmentation configuration hyperparameters; searching a first key-value storage based on the first key; obtaining one or more augmentations based on the search of the first key-value storage; applying the obtained one or more augmentations to the training examples to result in augmented training examples; generating a second key based on one of the augmented training examples and the one or more feature extraction configuration hyperparameters; searching a second key-value storage based on the second key; obtaining one or more features based on the search of the second key-value storage.

Abstract: A distributed ledger system comprises participating nodes and a verification node selection device. The verification node selection device is configured to calculate a score for at least processing speed or reliability of a transaction for each of the participating nodes, and determine the verification nodes. Each of the selected verification nodes verifies the transaction to build a consensus.

Abstract: Provided are a computer-implemented method, a computing system and a non-transitory storage medium. In the method, available Wireless Local Area Networks (WLANs) accessible on a User Equipment (UE) are determined. The available WLANs on the UE are prioritized based on degree of wireless connectivity. The UE is connected to a first WLAN with the highest degree of wireless connectivity. A registration request is sent, over the first WLAN, to an Internet Protocol Multimedia Subsystem (IMS) for the UE. A status of the IMS registration for the UE is received from the IMS, where the status includes a successful registration status or an unsuccessful registration status. Upon receiving the successful registration status of the IMS registration, data packets are transmitted to the IMS.

Abstract: Novel techniques are described for data augmentation using a two-stage entity-aware augmentation to improve model robustness to entity value changes for intent prediction.

Abstract: Novel techniques are described for positive entity-aware augmentation using a two-stage augmentation to improve the stability of the model to entity value changes for intent prediction. In one particular aspect, a method is provided that includes accessing a first set of training data for an intent prediction model, the first set of training data comprising utterances and intent labels; applying one or more positive data augmentation techniques to the first set of training data, depending on the tuning requirements for hyper-parameters, to result in a second set of training data, where the positive data augmentation techniques comprise Entity-Aware (“EA”) technique and a two-stage augmentation technique; combining the first set of training data and the second set of training data to generate expanded training data; and training the intent prediction model using the expanded training data.

Abstract: Novel techniques are described for negative entity-aware augmentation using a two-stage augmentation to improve the stability of the model to entity value changes for intent prediction. In some embodiments, a method comprises accessing a first set of training data for an intent prediction model, the first set of training data comprising utterances and intent labels; applying one or more negative entity-aware data augmentation techniques to the first set of training data, depending on the tuning requirements for hyper-parameters, to result in a second set of training data, where the one or more negative entity-aware data augmentation techniques comprise Keyword Augmentation Technique (“KAT”) plus entity without context technique and KAT plus entity in random context as OOD technique; combining the first set of training data and the second set of training data to generate expanded training data; and training the intent prediction model using the expanded training data.

Abstract: The present disclosure provides a multifunctional hand controller for height-adjustable furniture, and belongs to the technical field of control equipment for electric furniture. The multifunctional hand controller includes a shell. The shell is fixed on the furniture. Switches for controlling the furniture are installed on the shell. The switches include a first switch and a second switch. The first switch is a rotary switch. The rotary switch rotates relative to the shell to generate a first control instruction for controlling the furniture.

Abstract: A data storage system includes a node configured to store a blockchain and a data storage server. The node is further configured to, upon receiving the data from a data source, separate the data into confidential data and public data, obtain a tamper proof of the confidential data, send the separated confidential data to the data storage server, and store the public data and the tamper proof on the blockchain. The data storage server is configured to store the confidential data upon receiving the confidential data from the node.

Abstract: An asset transfer recording system includes a node and a data storage server. The node includes a node processor programmed to generate a data processing rule according to a request by a transferor of an asset. The node processor is further programmed to store the data processing rule on the blockchain; generate a data processing command according to the data processing rule; and send the data processing command to the data storage server. The data storage server includes a server processor programmed to process the plurality of data items according to the data processing command and generate and send a processing result to the node processor. The node processor is further programmed to store the processing result on the blockchain.