4551 results about "Communication interface" patented technology

A portable agent package apparatus for coupling to one or more environment, energy or water infrastructure or water body sensors produce timestamped or temporal process data, includes a physics surrogate world model trained to predict at least one hydraulic, chemical, or biological state variable of the sensed water system, a connection memory that stores metadata describing data source identifiers, units, and sampling cadence, pointers to available analytical tools or peer agent packages, or streams of operational experience or a hierarchical options library, an emotion tensor continuously encodes normalized metrics comprising at least one of model accuracy, computational load, data quality, latency, and uncertainty, or further including an exploration bonus channel, a value estimate error, an anomaly score, or an alignment divergence flag, and a bidirectional, authenticated communication interface that receives the temporal or timestamped process data from the one or more sensors, transmits Memo updates, and accepts goal directives.

The present disclosure includes computer-implemented methods of guardrails for securely using large language models (LLMs). The method comprises monitoring user data flow using an application programming interface (API) and receiving an administrative policy from an administration communication interface. The method involves dynamically applying a plurality of LLM input inspectors to LLM input data. The application of the plurality of LLM input inspectors is based on the administration policy. The dynamic application of the plurality of LLM input inspectors is in sequence for latency optimization. The plurality of LLM input inspectors serve as LLM input guardrails for a plurality of secure deployed large language models (LLMs). The plurality of LLM input inspectors are configured by the administrative policy and validate the LLM input data to validated LLM input data based on the administration policy. Additionally, the method comprises dynamically applying a plurality of LLM output inspectors to LLM output data.

A portable agent package apparatus for coupling to one or more environment, energy or water infrastructure or water body sensors produce timestamped or temporal process data, includes a physics surrogate world model trained to predict at least one hydraulic, chemical, or biological state variable of the sensed water system, a connection memory that stores metadata describing data source identifiers, units, and sampling cadence, pointers to available analytical tools or peer agent packages, or streams of operational experience or a hierarchical options library, an emotion tensor continuously encodes normalized metrics comprising at least one of model accuracy, computational load, data quality, latency, and uncertainty, or further including an exploration bonus channel, a value estimate error, an anomaly score, or an alignment divergence flag, and a bidirectional, authenticated communication interface that receives the temporal or timestamped process data from the one or more sensors, transmits Memo updates, and accepts goal directives.

The invention relates to the technical field of aviation communication, and discloses a true north calibration system and method for an aviation airborne laser communication equipment alignment system, and the method comprises the steps: synchronously collecting flight data through an IMU sensor and a double-antenna GPS at a preset sampling frequency, and outputting the real-time attitude angle information of an aircraft through an IMU; filtering and de-noising the synchronously acquired IMU and double-antenna GPS data, and carrying out noise suppression and deviation compensation on accelerometer and gyroscope data output by the IMU by adopting a Kalman filtering algorithm; based on the preprocessed sensor data, calculating an initial course angle by measuring relative position change and phase difference between antennas by using a double-antenna GPS (Global Positioning System); the calibration controller transmits the calculated true north direction information to an alignment system of the laser communication equipment in real time through a communication interface; and the attitude change and external environment disturbance of the aircraft are continuously monitored in the whole flight process. The method has the advantage that the alignment performance and the communication stability of the laser communication equipment are improved.

Methods, systems, and devices may assist in artificial intelligence (AI) or machine learning (ML) communications in 5G system, AI or ML traffic differentiation, AI or ML slice type, AI or ML triggering rules, AI or ML policy, AI or ML operations, or user equipment communication interface exposure.

The invention provides an information transmission device and implementation method based on multi-protocol dynamic conversion and data fusion, and belongs to the technical field of information transmission, and the device comprises a multi-protocol communication interface module, a data analysis unit, a dynamic protocol conversion engine, a data fusion unit, a data assembly reporting unit and a log storage module. According to the method, information transmission is realized by initializing an interface, analyzing multi-protocol original data, dynamically converting the multi-protocol original data into a uniform format, fusing de-duplicated data, packaging, reporting and recording logs. The device and the method solve information interaction obstacles of different protocol devices, support bidirectional conversion of multiple industrial protocols, realize cross-protocol device collaboration and centralized management, improve the system intelligence level, and are suitable for scenes requiring multi-device collaboration, such as electric power, intelligent transportation, intelligent buildings and the like.

The present application relates to the technical field of artificial intelligence, and in particular to a question answering method based on a large model, and an electronic device. The electronic device comprises a communication interface, a memory, and a processor, the memory is configured to store a computer instruction, and the processor is configured to execute a computer program to enable the electronic device to: determine, on the basis of each pre-stored text block, a target text block matched with a question to be answered; obtain, if non-text data including a picture and / or a table is pre-stored for the target text block in advance, stored summary text of the non-text data; and input the question to be answered, the target text block, and the summary text into a first large model on the basis of a preset format to obtain answer information. Since the summary text is text that summarizes all content in the non-text data, the first large model does not need to process the picture and / or the table and still can ensure that the content recorded in the picture and / or the table is taken into consideration during generation of the answer information, thereby improving the model-based question answering accuracy.

The invention discloses a VEM-Token beat capture and alignment model construction method, which is a deepening innovation that a vocal music file is segmented into VEM-Token lexical elements by adopting music beats based on a VEM-Token vocal music emotion multi-modal model method. The core of the method is to establish a rhythm model, a rhythm capture model and a rhythm alignment model of a vocal music file, the rhythm model separates singing sound, accompaniment sound and emotional fluctuation from a sample vocal music file through multiple filters and captures a start point and an end point of a rhythm in a frequency spectrum format file, and the rhythm alignment model performs rhythm alignment on the vocal music file through a start point fine tuning model and an end point fine tuning model. And the user imitation file and the sample file are enabled to complete beat alignment. Models including a rhythm basic model, harmonic impact, joint learning, harmonic frequency layering, dynamic time warping and the like are adopted to capture rhythms, and models including the basic model, starting point fine tuning, terminal point fine tuning, whole-course alignment verification, a rhythm editor, rhythm free playing, repeated alignment, a communication interface protocol and the like are adopted to construct. Therefore, the method is suitable for accessing an Agent music agent and an AI music application.

The present invention discloses a system and method for secure artificial intelligence-based financial technology governance and risk management, designed to provide real-time, autonomous, and verifiable compliance assurance within digital financial ecosystems. The invention integrates a secure artificial intelligence processing unit, a governance control processor, a cryptographically anchored storage unit, a federated learning coordination processor, and a quantum-resistant communication interface enclosed within a tamper-proof hardware structure. The system performs encrypted machine learning computations on financial transaction data using homomorphic encryption and trusted execution environments to preserve confidentiality during analysis. It computes a governance risk index based on probabilistic inference and anomaly detection to identify regulatory deviations, applies adaptive compliance reasoning across multi-jurisdictional frameworks, and automatically enforces governance actions through secure decision logic.

The invention discloses a river water level dynamic monitoring and flood overflow risk prediction method based on deep learning, and the method comprises the following steps: S1, collecting multi-source hydrological data, and constructing a time series data set; s2, performing interpolation, denoising and normalization processing on the data to generate a unified time sequence format; s3, constructing a water level prediction model comprising a bidirectional long short-term memory network and an attention mechanism; s4, inputting the preprocessed data into the water level prediction model, and outputting a multi-time-step predicted water level sequence; s5, a dynamic threshold value is set according to the historical extreme value and the real-time hydrological condition, and the flood overflow risk is judged; s6, generating and caching a risk tag, and recording an error; s7, outputting a prediction result and risk information through a communication interface; and S8, periodically updating the input data in a rolling manner, and repeatedly executing the prediction and monitoring process. According to the invention, depth prediction and a dynamic threshold control mechanism are fused, and water level monitoring and flood overflow risk intelligent early warning are realized.

The invention relates to a reconfigurable battery energy storage system grid-connected and off-grid seamless switching control method and device. The method comprises the following steps of: sensing a real-time power grid state, pre-judging a system operation mode, and acquiring a millisecond-level panoramic information flow of the power grid state through a high-speed sampling voltage sensor, a high-speed sampling frequency sensor, a high-speed sampling phase sensor and a high-speed sampling communication interface. And pre-judging the stability and disturbance trend of the power grid through a deep learning algorithm, executing a power distribution and voltage support algorithm in grid-connected and off-grid modes, and calculating an optimal switching opportunity point and a system reconstruction target topology scheme. Meanwhile, the harmonic distortion rate and the voltage sag depth are calculated in real time through discrete Fourier transform, so that a mode pre-judgment mechanism is automatically triggered. After switching, key parameters such as voltage, frequency and power are automatically corrected through real-time sampling and observation, and zero-sensing switching is achieved. The method can effectively improve the response speed and stability of the battery energy storage system when the power grid fails, and guarantees the safe operation of the power grid.

A node-enabled logistics receptacle system with a deployable storage element for receiving and temporarily maintaining a delivery item. The system includes a storage receptacle with an entrance opening for receiving the delivery item and a deployable autonomous mobile container as the deployable storage element. A first node is mounted to the storage receptacle and includes a first node processor, a first node memory, a communication interface, and a plurality of sensors including an interaction sensor and a storage sensor. The first node detects a change in the state of the entrance opening, determines a current condition of what is presently maintained within the deployable autonomous mobile container, generates a deploy activation signal, and transmits the deploy activation signal to the deployable autonomous mobile container to initiate movement by the deployable autonomous mobile container from the host position within the storage receptacle to a position external to the storage receptacle.

A simulation system may comprise a headset and an equipment. A wireless communication interface of the headset may receive position information from the equipment. The headset may detect a passively-instrumented object represented in a captured image. The headset may detect a wearable device coupled to the passively-instrumented object. The headset may determine position information for the passively-instrumented object. The headset may present an image of virtual equipment corresponding to the equipment in accordance with the position information from the equipment and the position information detected for the passively-instrumented object.

The invention discloses a ship propulsion control system and method, and relates to the technical field of ship engineering.The ship propulsion control system comprises an acquisition module used for acquiring analog quantity signals during ship propulsion, and a main controller module used for receiving the analog quantity signals and generating a propulsion control instruction; according to the ship propulsion control system, two acquisition channels are arranged for analog quantity signals, a fault channel is rapidly detected and switched in combination with a self-checking mechanism, the fault channel can be rapidly detected, the fault channel can be rapidly switched, the fault channel can be rapidly detected, the fault channel can be rapidly switched, and the reliability of the ship propulsion control system can be improved. A digital quantity output channel fault is found in time and switched to a standby channel, a power supply and communication interface backup strategy is perfected, fault priorities are accurately divided, corresponding measures are taken, the strict requirements of modern ships for high reliability and high safety of propulsion control are met, and powerful technical support is provided for stable navigation of the ships.

The invention discloses an inference task collaborative scheduling system and method oriented to multiple terminals of a swan gap. The inference task collaborative scheduling system comprises a communication module Broker, a system monitoring module SystemProfilter, a scheduling module Scheduler and an inference task execution module Worker. According to the method, a structured resource state vector is constructed based on an NDK native interface so as to comprehensively represent the real-time availability of equipment; a lightweight MQTT protocol is adopted to support low-overhead and high-robustness cross-terminal state synchronization and task distribution; a comprehensive load scoring mechanism fusing task priorities and dynamic weights is designed, a multi-objective optimization problem based on a non-dominated sorting genetic algorithm (NSGA-II) is introduced, task delay is minimized in a combined mode, terminal loads are balanced, and energy consumption is controlled; meanwhile, the execution time delay is efficiently estimated in combination with a proxy model based on linear regression, and the scheduling overhead caused by real reasoning and calling is avoided; the whole architecture is deeply adaptive to a swan-mong system, and is compatible with an Android platform through modular packaging and unified communication interface design, and efficient, self-adaptive and cross-platform collaborative scheduling oriented to a swan-mong multi-terminal reasoning task is realized for the first time.

The invention relates to the technical field of data processing, in particular to an FPGA (Field Programmable Gate Array) and CPU (Central Processing Unit) cooperative network data processing system, which comprises a network interface module for receiving and forwarding an external data flow, and a protocol analysis module for distinguishing a service message and a protocol message based on a message header characteristic and a load mode; the service processing module executes protocol format conversion, security encryption and data extraction in the FPGA; the protocol stack interaction module transmits a protocol message to the CPU through the MAC layer communication interface; the protocol stack module activates necessary protocol services in the CPU and generates a resource allocation instruction; and the data integration module receives the service data flow and the protocol processing result, and dynamically adjusts the encryption rule. According to the invention, FPGA business data closed-loop processing and CPU protocol service physical isolation are realized, a double-processing-unit architecture supports financial signature and industrial filtering cascade operation, the MAC layer interface is additionally provided with cyclic redundancy check to guarantee transmission reliability, and equipment processing efficiency and anti-attack capability under a fusion scene are improved.

The invention discloses a cross-platform communication method based on multiple embedded platforms, relates to the technical field of cross-platform communication, and aims to solve the problem that the data communication quality between the platforms is reduced. According to the method, communication interface types supported by the platform are automatically identified, adaptation is performed according to interface parameters, various different types of communication interfaces can be compatible, the system is endowed with strong expansibility by contrasting and matching with an abstract model and adopting a mode of intelligent inference or human assistance to generate an adaptation template for a new platform, and the system has high expansibility. By abstractly integrating the functional attributes, the communication attributes and the protocol parameters of different platform devices, management obstacles of the devices caused by platform differences are eliminated, unified management and operation of cross-platform devices are realized, the management complexity is reduced, and the management efficiency is improved.

An apparatus includes a communication interface and at least one processor. The processor is configured to obtain a size of a lumen in each of a plurality of aortic zones and first information for each of the plurality of aortic zones based on segmentation results of an aorta and the plurality of aortic zones within the aorta; and visualize the size of the true lumen, the first information, and a ratio between the size of the true lumen and the first information in each of the plurality of aortic zones by using a visualization segment corresponding to each of the plurality of aortic zones.

This disclosure is generally directed to wireless communication systems and methods and relates particularly to a mechanism for implementing an artificial intelligence framework for adaptively configure the over-the-air communication interfaces of the wireless communication systems. AI network configuration functions may be provided as services for AI-assisted network configuration (AI configuration services, or AICS). Such AICS may be requested and configured via various messaging and signaling mechanisms. The AI model life cycle management including training, delivery, activation, inference, deactivation, switching, performance evaluation, and the like may be configured, triggered, and otherwise provisioned via control and data messages and signaling communicated between the various network elements in the wireless communication system.

The invention provides an FPGA parallel Isin model optimization method and system based on a GHMC simulated annealing algorithm, relates to the field of power system combination optimization, and solves the technical problem that an existing FPGA-based Isin model solver adopts a traditional Monte Carlo method and is low in convergence precision and solution quality. The method comprises the following steps: receiving a question input by a user through an upper computer, and mapping the received question into a Hamiltonian parameter of an Isin model; the Hamiltonian parameter is transmitted to an FPGA through a communication interface, and a mixed GHMC sampler and a temperature scheduling module are arranged in the FPGA; the hybrid GHMC sampler carries out parallel solution on Hamiltonian parameters; and the temperature scheduling module gradually reduces the system temperature according to a preset annealing curve, and drives the Isin model to converge to a global optimal solution. The method is used in the power system combination optimization process.

Described herein are techniques and mechanisms for geographic routing. A database system may store data records corresponding with user accounts and including historical routing information characterizing geographic routes determined in association with the user accounts. A communication interface may receive a request from a remote computing device authenticated to a user account and identifying an initial geographic location and a terminal geographic location. A geographic routing engine may determine a route including turn-by-turn instructions for moving from the initial geographic location to the terminal geographic location. A generative language model interface may complete a navigation prompt to include novel text identifying supplemental route information. A user interface generation interface may transmit an instruction to the remote computing device to present a user interface that includes the turn-by-turn instructions and some or all of the supplemental route information.

The invention provides a chip aging test system and method based on a field programmable gate array, and the system is characterized in that a drive control panel comprises a processor module, a communication interface module, and an external connector module; the external connector module comprises a first connector and a second connector; the processor module is used for receiving a test instruction sent by the upper computer through the communication interface module, generating a test signal and a control signal, and receiving a test result acquisition instruction sent by the upper computer after the communication interface module sends response information to the upper computer; the first end of the processor module is also used for sending the interrupt information to an upper computer through the communication interface module and displaying the interrupt information; and the third end of the processor module is connected with the second connector and is used for outputting the control signal to the test board. Test signals are output to multiple groups of tested chips of the test board in parallel through the first connector, the second connector controls the test sequence of the to-be-tested chips on the test board, and hundreds of chips are driven by a single drive board and used for aging test.

The invention discloses a communication system for realizing bidirectional protocol compatibility of an upper computer and a main control module, which comprises a protocol bridging module, an upper computer communication interface module and an inter-module communication interface module, and is characterized in that the protocol bridging module is used for realizing bidirectional analysis and packaging of an upper computer protocol and an internal standard protocol; the protocol bridging module adopts an independent MCU (Microprogrammed Control Unit) processing unit, integrates a protocol analysis unit, a mapping conversion unit and a data encapsulation unit, and is internally provided with a protocol mapping table for the mapping conversion unit and the data encapsulation unit to call; the upper computer communication interface module is used for realizing communication connection between the protocol bridging module and an upper computer, integrates various physical interfaces, and adopts a level and protocol adaptive design to realize seamless butt joint with different types of upper computers; and the inter-module communication interface module is used for realizing communication connection between the protocol bridging module and the main control module, integrates various standard interfaces, and adopts an interface automatic adaptation design to be compatible with interface specifications of different main control modules.

A cooperative autonomous vehicle (CAV) system and associated methods improve object detection performance through decentralized alignment and aggregation of sensor-derived feature-maps. The system utilizes a Translation Mod Alignment (TMA) procedure to spatially normalize sensor inputs, such as two-dimensional bird's-eye view (BEV) images or three-dimensional point clouds, into a shared coordinate frame. Feature-maps generated from these aligned inputs are then aggregated across vehicles via wireless communication interfaces to form combined feature-maps. These combined feature-maps enable enhanced cooperative object detection without the need for raw sensor data transmission, significantly reducing network bandwidth requirements. Further disclosed are specialized neural network architectures and training methods optimized for cooperative perception, ensuring minimal information loss and robust object identification across decentralized, cooperative environments.

The present invention relates to a bearing ball inspection system configured for automated non-destructive testing of spherical components. In an exemplary embodiment, a bearing ball is delivered to an inspection point by a rail guide and supported by a positioning wheel configured to rotate the bearing ball during imaging. Cameras capture images of different surface regions under controlled illumination provided by ultraviolet or white-light sources. A control system comprising a microprocessor and memory executes a machine learning model to analyze the images and detect surface defects without requiring manual interpretation. Based on the analysis, a sorting mechanism directs the bearing ball to a pass or fail location. The system further includes communication interfaces configured to transmit inspection results to a remote computing device and receive control instructions. This integrated architecture enhances inspection reliability, improves throughput, reduces inspection variability, and supports centralized management of inspection systems across distributed production sites.

The invention relates to the technical field of intelligent control of chemical reactors, and discloses an intelligent temperature control system for a step-by-step catalytic cracking reactor, which comprises a temperature field modeling module, a sensor configuration module, an index definition module, a control execution module, an analysis and diagnosis module and the like. The temperature field modeling module constructs a standard temperature field distribution model through infrared thermal imaging and generates virtual temperature points; the sensor configuration module is used for arranging a real temperature point and acquiring a temperature gradient and a temperature point missing rate; the index definition module sets a preset temperature index based on the thermodynamic parameters; the control execution module realizes steady state, dynamic response, heat balance and composite regulation and control; and the analysis and diagnosis module carries out fault tracing on the target which does not pass regulation and control and adjusts a strategy. The system further comprises a data acquisition module and a communication interface module, so that data storage and external communication are realized. The method improves the temperature control precision and the system self-adaption capability, and is suitable for the complex temperature control scene of the catalytic cracking reaction.

An apparatus and method for recommending a defect-causing process are disclosed. The apparatus for recommending a defect-causing process includes a communication interface configured to receive a user's inquiry including identification information related to a defect phenomenon occurring in a target process, and a neural network model configured to search for a similar case related to the defect phenomenon by encoding information related to the defect phenomenon based on the identification information and generate a response to the user's inquiry by using a prompt generated based on the user's inquiry and the similar case.

The invention provides a multifunctional network protocol converter, which comprises a main control module, a switch chip, a communication module and a storage module, and is characterized in that the switch chip comprises a plurality of network ports, each network port belongs to the same intranet, and each network port can be independently provided with a communication mode, supports various different protocols and data forwarding configurations, can realize various forwarding modes, and is provided with a plurality of communication interfaces; the data exchange module provides a physical layer data exchange function; the main control module identifies, analyzes, stores, converts and encapsulates the data of different protocol types received by the network port and the communication module through the data storage protocol stack, forwards the encapsulated data of different protocols through the network port and the communication module, and integrates a switch, a protocol converter and a data processing function into one device; the system architecture is simplified, the problems of high network protocol conversion cost and complexity caused by the prior art are effectively solved, and the network protocol conversion cost and complexity are effectively reduced.

The invention relates to the technical field of unmanned aerial vehicle data processing, and discloses an unmanned aerial vehicle data analysis method and system based on 4GMQTT communication. The system comprises a communication interface, an integrity verification module, a delay monitoring module, an analysis reconstruction module and a transmission compensation module. The communication interface module receives an unmanned aerial vehicle data flow through a 4GMQTT protocol; the integrity verification module extracts protocol header information and judges whether the integrity of the protocol header information is lower than a threshold value or not; the delay monitoring module activates the first timing window or the second timing window according to the protocol head integrity, the former obtains transmission delay and triggers the analysis and reconstruction module, the latter obtains the protocol load integrity change rate, and the transmission compensation module is triggered if the protocol load integrity change rate exceeds a threshold value. The analysis reconstruction module generates a recombination strategy according to the transmission delay and reconstructs effective data units, and the transmission compensation module generates a compensation strategy according to the change rate to repair missing data units. The system can cope with the problems of protocol head damage, delay and load integrity fluctuation in data transmission.

An integrated circuit formed on (i) a single semiconductor die or (ii) a plurality semiconductor dies that are integrated into a single package. The integrated circuit may include a communication interface including a serializer / deserializer (SerDes) interface; a fabric adapter communicatively coupled to the communication interface; a plurality of inference engine clusters, each inference engine cluster including a respective memory element and / or memory interface; and a data interconnect communicatively coupling each respective memory element and / or memory interfaces of the plurality of inference engine clusters to the fabric adapter. The fabric adapter may be configured to facilitate remote direct memory access (RDMA) read and write services and / or datagram communication over a cell-based switch fabric to and from the respective memory elements and / or memory interfaces of the plurality of inference engine clusters via the data interconnect.