Abstract: This application provides a bulk acoustic wave resonator and a bulk acoustic wave filter, and relates to the technical field of filters. The bulk acoustic wave resonator includes a substrate, and a bottom electrode, a piezoelectric layer, a top electrode which are sequentially stacked on the substrate, and an outline of an orthographic projection of the top electrode on the substrate is formed by four curves which are end-to-end connected. Arc transition is set at a joint of every two adjacent curves, and every two curves arranged in a spaced manner are not parallel. Accordingly, reliability of devices can be effectively improved, meanwhile, parasitic resonance amplitude can be effectively restrained, a Q value is increased, and thus device properties are improved.

Abstract: A hierarchical health index evaluation method for an intelligent substation includes: obtaining a basic health index of a device based on static information and dynamic information of the device; obtaining a device correlation based on a communication connection relationship between the device and another device, and correcting the basic health index of the device based on the device correlation to obtain a health index of the device; obtaining a layer-based health index of a layer based on a device health index and a device importance weight of the layer; obtaining a whole-station health index of an intelligent substation based on a layer-based health index of each layer and a sum of device importance weights of each layer; and regulating the intelligent substation based on a health index of each device in the intelligent substation, the layer-based health index of each layer, and the whole-station health index.

Abstract: An intelligent power distribution device is provided, which includes a power distribution diagnosis module and a power distribution monitoring module. The power distribution monitoring module includes a power measuring and controlling instrument. The power measuring and controlling instrument is configured to connect to a power supply line to be protected, and measure power data of the power supply line. The power distribution diagnosis module is connected to the power measuring and controlling instrument, and is configured to analyze the power data uploaded by the power measuring and controlling instrument, and protect the power supply line when it is determined based on an analysis result that the power supply line requires protection. Based on the analysis result of the power data of the power supply line, the intelligent power distribution device can protect the power supply line precisely and accurately, thereby improving protection effect of the power supply line.

Abstract: A system and method of creating the natural language understanding component of a speech/text dialog system. The method involves a first step of defining user intent in the form of an intent flow graph. Next, (context, intent) pairs are created from each of the plurality of intent flow graphs and stored in a training database. A paraphrase task is then generated from each (context, intent) pair and also stored in the training database. A zero-shot intent recognition model is trained using the plurality of (context, intent) pairs in the training database to recognize user intents from the plurality of paraphrase tasks in the training database. Once trained, the zero-shot intent recognition model is applied to user queries to generate semantic outputs.

Abstract: Techniques for dialog data collection are disclosed. In an embodiment, a method comprises providing a first graphical user interface (10) configured to receive first user input data, providing a second graphical user interface (20) configured to receive second user input data, asynchronously transmitting the first user input data to the second graphical user interface (20) or the second user input data to the first graphical user interface (10), and generating training data for a natural language processing system model (60) based on the first user input data and the second user input data.

Abstract: Systems and methods involving SPARTA (Sparse Transformer Matching) are disclosed. Embodiments may relate to scalable and transferable retrieval methods for question answering.

Abstract: Techniques for dialog data collection are disclosed. In an embodiment, a method comprises providing a first graphical user interface (10) configured to receive first user input data, providing a second graphical user interface (20) configured to receive second user input data, asynchronously transmitting the first user input data to the second graphical user interface (20) or the second user input data to the first graphical user interface (10), and generating training data for a natural language processing system model (60) based on the first user input data and the second user input data.

Abstract: A system and method of creating the natural language understanding component of a speech/text dialog system. The method involves a first step of defining user intent in the form of an intent flow graph. Next, (context, intent) pairs are created from each of the plurality of intent flow graphs and stored in a training database. A paraphrase task is then generated from each (context, intent) pair and also stored in the training database. A zero-shot intent recognition model is trained using the plurality of (context, intent) pairs in the training database to recognize user intents from the plurality of paraphrase tasks in the training database. Once trained, the zero-shot intent recognition model is applied to user queries to generate semantic outputs.