Abstract: Various embodiments are directed to an elevator positioning system, comprising: a transceiver disposed within an elevator shaft; a first positioning element; a second positioning element; and a controller communicably coupled to the transceiver, wherein the controller is configured to: determine a first distance between the transceiver and the first positioning element; determine a calibration distance between the transceiver and the second positioning element based at least in part on a second reflection detected by the transceiver from the second positioning element at a first instance; based at least in part on the first distance and the calibration distance, calculate an adjusted elevator car position defined at least in part by a shaft displacement compensation distance; and cause an elevator car to move about a vertical axis of the elevator shaft to a vertical position within the elevator shaft that corresponds at least in part to the adjusted elevator car position.

Abstract: Methods, apparatuses and systems for providing a switching component are disclosed herein. An example switching component may comprise: A switching component comprising: a housing; a carrier body disposed within the housing; a first pair of contact pads disposed on a first surface of the carrier body; and a second pair of contact pads disposed on a second surface of the carrier body, wherein each pair of contact pads is configured to independently make contact with adjacent bridge contact pads in order to actuate an electrical bridge in response to movement of the carrier body.

Abstract: Methods, apparatuses and systems for a sensing deformation in a surface are disclosed herein. An example device may include a support unit including a first frame and a second frame. A first end of the first frame and a first end of the second frame are mechanically coupled to the surface. The sensing device includes a pin joint that mechanically couples the first frame to the second frame, such that a first relative movement between the first end of the first frame and the first end of the second frame is amplified to a second relative movement between a second end of the first frame and a second end of the second frame. The sensing device includes a sensor that senses the second relative movement between the second end of the first frame and the second end of the second frame.

Abstract: Methods, systems, and computer storage media for providing domain-integrated contextual response management using a domain-integrated contextual response engine in an artificial intelligence (AI) system are described. Domain-integrated contextual response management is a systematic approach that combines specific industry knowledge with contextual understanding to generate accurate, relevant, and specific industry-tailored responses to user queries. Domain-integrated contextual response management further includes fine-tuning models for Retrieval-Augmented Generation (RAG) tasks using customer-specific data based on a two-fold approach involving skill distillation and knowledge distillation (i.e., skill distillation from a more powerful model like Large Language Model “LLM” and knowledge distillation from domain-specific data). Domain-integrated contextual response management also includes creating a synthetic dataset that enables smaller models (e.g.

Abstract: A calibration system and a method for a gas detector are provided. The calibration system includes a diffusion chamber having a first side coupled to the gas detector and a second side coupled to a filter. A container is coupled to the diffusion chamber via a valve and includes an absorbent retaining a gas and a heating element to heat the absorbent to release the gas from the absorbent to the diffusion chamber through the valve. At least one processor is configured to regulate the valve to release the gas, determine a change in a signal reading of the gas detector associated with a diffusion of gas from the filter, determine a sensitivity drift factor based on the change in the signal reading, determine a change in concentration of the gas based on the sensitivity drift factor, and calibrate the gas detector based on the change in concentration.

Abstract: An electrolyte composition that includes a solvent component, the solvent including ethyl acetate and a lithium salt component including one or more lithium salts, and where the concentration of the lithium salt component in the electrolyte composition is greater than 1.0 mol·dm?3 but less than 3.0 mol·dm?3. The electrolyte composition is as useful as an electrolyte in an alkali metal secondary cell, for example a lithium-ion cell or lithium metal cell.

Abstract: The automatic generation of synthetic training data that can be used to train a language model to generate code examples following a code language based on a natural language input. Thus, new language models may be created, or existing language models may be fine-tuned, to adapt to automatically generate code without having to manually generate bulk quantities of training data. Rather, a many-to-many grammar mapping is navigated to generate training data. Specifically, the many-to-many grammar mapping maps code grammar to natural grammar. Then, each training data is generated by navigating the many-to-many grammar mapping definition to generate a mapping of a respective code expression to a respective natural language expression.

Abstract: Embodiments of this application relate to the field of terminal technologies and disclose a method for automatically enabling an access point function and a relay function, and an electronic device. After an electronic device is powered on, if the electronic device is connected to a wired network and does not use the network within preset duration, an AP mode is enabled; or if the electronic device is connected to a wireless network and does not use the network within preset duration, a repeater mode is enabled. The AP function and the relay function can be automatically enabled on the electronic device such as a personal computer or a smart screen, and an existing device of a consumer can be set as an AP or a repeater. The consumer does not need to buy a dedicated AP or repeater. This improves Wi-Fi use experience of the consumer.

Abstract: This application relates to the field of electronic device technologies, and discloses a projection method and apparatus, and an electronic device, to implement simultaneous multi-screen viewing during different-source projection. The method is applied to a projection system, and includes: A first electronic device creates a first virtual display in response to a projection operation performed by a user on an application, and generates a user interface of the application on the first virtual display; and when projecting the user interface that is of the application and that is generated on the first virtual display onto a second electronic device.

Abstract: A data processing method includes: when detecting that a first storage file in an ith layer of a target storage system meets a preset data merging condition, determining in an (i+1)-th layer a second storage position having a data merging relationship with a first storage position of the first storage file, and determining a second storage file located at the second storage position in the (i+1)-th layer; on the basis of a data comparison result between first data in the first storage file and second data in the second storage file, determining target write-in data configured to be written into a third storage file corresponding to the second storage file, and writing the target write-in data into the third storage file; and determining a target storage virtual file corresponding to the second storage file, and establishing, in the target storage virtual file, index information corresponding to the third storage file.

Abstract: Systems, apparatuses, and method for gas detections are disclosed. An exemplary system is a device that includes gas detector and a pump housing coupled to the gas detector. The gas detector comprises a first plurality of terminal electrodes, a plurality of switches, and a first infrared (IR) sensor. The pump housing comprises a pump, a second plurality of terminal electrodes, a plurality of magnets, and a second infrared (IR) sensor. The second plurality of electrodes are configured to align with the first plurality of terminal electrodes. The plurality of magnets are configured to control the plurality of switches to enable or disable flow of electricity from the first plurality of terminal electrodes to the second plurality of terminal electrodes to operate the pump for detecting a presence of gas. The second IR sensor is configured to communicate with the first IR sensor of the gas detector.

Abstract: An industrial controller implements a closed-loop control technique referred to as generic PID control, or GPID, which makes explicit the basic principles and methods of quantitatively combining the past, present and future in controller design and tuning. Generic PID control is backward compatible in design and in tuning with current industrial control software interfaces, and as such can be easily adopted onto existing control systems. Generic PID is also widely applicable to artificial intelligence (AI) and data analytics, such as machine learning, where error-correction is core to all algorithms.

Abstract: A fluxgate current sensor. A fluxgate signal corresponding to a primary current may be received. The fluxgate signal may include at least two plateau periods. Each plateau period may define a plurality of candidate calculation windows. An operation condition classification may be generated based on a signal characteristics set by applying the signal characteristics set to a classification model. The operation condition may be one of an AC operation condition or DC operation condition. A calculation window may be selected based on the operation condition classification. The plurality of calculation windows may include a first calculation window and a second calculation window. A predicted current value may be generated for the primary current by applying sampled current values within the selected calculation window for each of the at least two plateau periods to a prediction model.

Abstract: A data query method, a computer device, and a storage medium are provided. Virtual data tables corresponding to a physical data table are generated by means of attribute information of the physical data table, then a plurality of target virtual data tables among the virtual data tables are associated to obtain a wide virtual data table, and data querying is performed by using the wide virtual data table.

Abstract: A data processing method includes: when detecting that a first storage file in an ith layer of a target storage system meets a preset data merging condition, determining in an (i+1)-th layer a second storage position having a data merging relationship with a first storage position of the first storage file, and determining a second storage file located at the second storage position in the (i+1)-th layer; on the basis of a data comparison result between first data in the first storage file and second data in the second storage file, determining target write-in data configured to be written into a third storage file corresponding to the second storage file, and writing the target write-in data into the third storage file; and determining a target storage virtual file corresponding to the second storage file, and establishing, in the target storage virtual file, index information corresponding to the third storage file.

Abstract: This disclosure provides function conflict processing methods and apparatuses. In an implementation, a method includes: receiving, from a first device and by a second device, projection data and first status information of a first function of the first device, wherein the first status information indicates a working status of the first function of the first device, and in response to determining that: (1) the first status information indicates that the first function of the first device is in a working state and (2) a first function of the second device is in a working state, processing, by the second device, a conflict of the first function.

Abstract: The automatic generation of synthetic training data that can be used to train a language model to generate code examples following a code language based on a natural language input. Thus, new language models may be created, or existing language models may be fine-tuned, to adapt to automatically generate code without having to manually generate bulk quantities of training data. Rather, a many-to-many grammar mapping is navigated to generate training data. Specifically, the many-to-many grammar mapping maps code grammar to natural grammar. Then, each training data is generated by navigating the many-to-many grammar mapping definition to generate a mapping of a respective code expression to a respective natural language expression.

Abstract: A method for objectively evaluating content output by a retrieval augmented generation (RAG) system includes obtaining question-answer information for one or more data chunks residing in a source index and prompting a large language model (LLM) to generate one or more answer construct conditions for a first test question included in the question-answer information. Each of the answer construct conditions identifies a condition that is satisfied by a ground truth answer to the first test question. The method further includes generating a question-specific evaluation metric for the first test question based on the answer construct conditions and prompting multiple differently configured retrieval augmented generation (RAG) systems to answer the first test question based on information within the source index.

Abstract: Methods, systems, and computer storage media for providing domain-integrated contextual response management using a domain-integrated contextual response engine in an artificial intelligence (AI) system are described. Domain-integrated contextual response management is a systematic approach that combines specific industry knowledge with contextual understanding to generate accurate, relevant, and specific industry-tailored responses to user queries. Domain-integrated contextual response management further includes fine-tuning models for Retrieval-Augmented Generation (RAG) tasks using customer-specific data based on a two-fold approach involving skill distillation and knowledge distillation (i.e., skill distillation from a more powerful model like Large Language Model “LLM” and knowledge distillation from domain-specific data). Domain-integrated contextual response management also includes creating a synthetic dataset that enables smaller models (e.g.