239 results about "Software modules" patented technology

The invention relates to a reservoir dam operation safety sky-land project intelligent sensing system and an operation method, and relates to the technical field of hydraulic engineering safety monitoring. The system is composed of a sky-land water conservancy project integrated monitoring and sensing system, a self-adaptive sampling module, a layered distributed architecture and a software and hardware integrated module, and multi-source data such as deformation, seepage, stress strain, vibration and environmental quantity are cooperatively collected through five dimensions of sky domain, airspace, territory, water domain and work domain. The monitoring frequency is dynamically adjusted by using an adaptive sampling strategy, and data cleaning, standardization, space-time registration and fusion processing are completed through a distributed architecture to generate a high-quality comprehensive data set. The system can realize total-factor and whole-process refined monitoring, effectively eliminates data islands, improves data quality and monitoring efficiency, has high reliability, real-time performance and expandability, and provides powerful data support and decision basis for dam safety assessment and intelligent early warning.

The invention discloses a wearable plantar pressure and three-dimensional gait analysis system, and relates to the technical field of gait analysis, the system comprises a wearable in-shoe plantar pressure analysis subsystem and a three-dimensional gait analysis subsystem; the wearable in-shoe plantar pressure analysis subsystem comprises a pressure sensor module, a pressure integration module, an intelligent transmission module, a detection software module, a power supply module, an instantaneous pressure and balance detection module, a standing balance detection module, a balance and gait detection module and a cloud server; the three-dimensional gait analysis subsystem comprises a hardware unit and a software unit; according to the invention, a wearable plantar pressure and three-dimensional gait analysis collaborative system is constructed, bidirectional verification compensation is realized by means of data fusion of two subsystems, and traditional single-dimensional limitation is broken; pressure sensing and a double-view reconstruction technology are fused, data are dynamically captured, and bidirectional error correction is carried out; the limitation of traditional equipment is solved, the evaluation accuracy and robustness are improved, and a quantitative basis is provided for clinical diagnosis, rehabilitation and the like.

The invention discloses a real-time adjustment camera focusing method and system, and aims to solve the problem of poor anti-interference capability of an existing focusing mode. The method comprises the following steps: off-line construction of an optimization lookup table and on-line real-time focusing: in an off-line stage, constructing a fixed-focus platform, generating an original lookup table through light spot anti-interference preprocessing and centroid calculation, and then constructing an efficient retrieval data structure to obtain the optimization lookup table; in the online stage, images are collected in real time, the center of mass is obtained through anti-interference processing, compensation is conducted through a preset prediction algorithm during shielding, target reference points are matched through an efficient retrieval data structure, and focusing is triggered according to deviation of the center of mass. The system comprises a hardware module and a software module which cooperatively realize the method. The method improves the anti-interference capability of light spot processing and the matching efficiency of the lookup table, adapts to the interference of illumination fluctuation, shielding and the like of an industrial environment, meets the real-time focusing requirements of high-speed production, is compatible with existing hardware, and is convenient to deploy.

A construction process support system that enables diverse users to quickly and intuitively create construction model data according to their intentions using natural language input and grid-based positioning. The system comprises hardware processors, software modules, and databases configured to display user interface pages to terminals and control natural language input messages. When input messages contain grid labels that specify coordinates on pages with character codes regarding construction structures, the system requests a Large Language Model (LLM) to generate instruction codes describing construction model data including the grid labels as position information. The LLM generates the requested instruction codes. The system stores the construction model data as searchable data in the database, forwards input messages to chat areas, and renders each structure as three-dimensional data at grid label positions on page canvases.

Kernel-mode security software detects a trigger event indicative of a specific stage in the lifecycle of a target software entity executing in user mode. In response, the security software identifies a target object residing in memory (e.g., loaded library, chunk of code, etc.) according to a current content of the user-mode call stack, and determines whether the target object is malicious. Various methods described herein detect malicious modifications of a loaded module, such as overload, stomping, and unhooking, among others. Other methods described herein detect dynamically swapped libraries and malicious shellcode, among others.

The invention relates to the field of chip clamps, in particular to a hearing aid output limit adjusting method, which comprises an adjusting system, and the adjusting system comprises a hardware module and a software module. The hardware module comprises a DSP module, a collection module, a power amplifier module and a power supply module. The software module comprises a signal processing module, a user interface module and a system management module; the DSP module is used for realizing a complex signal processing algorithm and analyzing sound signals in real time through cooperation of an efficient digital signal processor and an artificial intelligence algorithm, and the method is used through modular connection, collects and analyzes user hearing signals in real time, dynamically adjusts output limitation in combination with hearing conditions and environmental factors of a user, and improves the user experience. In this way, comfort of the user in various hearing scenes can be guaranteed, hearing of the user can be effectively protected, perfect balance between the amplification effect and the comfort of the user is achieved, habits of the user are conveniently recorded in cooperation with the DSP module and the system management module, and user experience is improved.

The invention discloses an interactive story machine based on an ROS and a large model and a control method of the interactive story machine. The story machine comprises an input module, an ROS system, a large model module, an audio output unit and a color ink screen. According to the invention, through cooperative work of software and hardware modules, an ROS system is used as an intelligent scheduling center, and meanwhile, a large model module is introduced, so that user interaction input modes and personalized demands of different user types can be understood and responded, and personalized story contents are dynamically generated; for the hearing-impaired user type, based on a barrier-free interaction mode, generating image prompt information and a smooth sign language action sequence, and driving a color ink screen to perform visual presentation through an optimized rendering instruction; and for a non-hearing-impaired user type, synchronously generating a story text fragment, a matched image illustration and voice information based on a multi-mode interaction mode, and providing an immersive story reading environment for different types of child users.

The invention discloses an ultrasonic welding pseudo soldering detection system and method, and relates to the technical field of ultrasonic welding detection, the system comprises a hardware assembly and a visual software module, the hardware assembly comprises an upper camera, a lens, an annular light source, a PLC lower computer and the like, and the visual software module configures program instructions such as initialization, image acquisition, feature detection and the like; according to the detection method, images are collected through the upper camera, detection of the expanded material size, the grid edge width, the grid area and the peripheral overflow area is completed in sequence, and pseudo soldering is automatically judged in combination with a visual algorithm. Non-destructive online full detection is achieved, the detection precision reaches + / -0.01 mm, the single-station detection rhythm is smaller than or equal to 1 second, the problems that traditional detection products are large in waste and high in misjudgment risk are solved, the method is suitable for new energy power battery copper-aluminum bar metal ultrasonic welding products, and the detection efficiency and the quality control level are improved.

The invention relates to the technical field of battery capacity testing, and discloses a lead-acid battery capacity testing system, which comprises a hardware platform and a software module, and is characterized in that the hardware platform comprises a single chip microcomputer, an ADC detection circuit, a nixie tube display module, a discharge control circuit, a key input module, a cooling fan and a current expansion interface; the software module runs on the single chip microcomputer, is based on an embedded operating system, and is configured to acquire a voltage signal and a current signal of the lead-acid battery in real time through the ADC detection circuit; and calculating the battery capacity by adopting a current integration method based on the current signal, and judging a discharge cut-off point based on the voltage signal. Through deep cooperation of a hardware platform and a software module, accurate and automatic testing of the capacity of the lead-acid battery is achieved, a current integration method is adopted as a core calculation principle, discharging cut-off judgment is carried out in combination with a voltage signal, and the accuracy and reliability of a capacity testing result are ensured.

Provided is a design support device capable of identifying a control parameter to be changed in response to a request in a free description format and facilitating setting.　This design support device comprises: an input unit that receives a request related to the behavior of a vehicle and described in natural language; a module selection unit that, on the basis of a first processing result obtained by natural language processing, selects a software module related to the behavior of the vehicle included in the request as a target module, with respect to the request and module description information which describes, in natural language, functions of software modules obtained by dividing vehicle control software of the vehicle for each function; a reference parameter extraction unit that extracts a reference parameter, which is a control parameter of the vehicle referenced by the target module; a parameter selection unit that, on the basis of a second processing result obtained by the natural language processing, selects a target parameter related to the behavior of the vehicle included in the request, with respect to the request and parameter description information which describes the function of the reference parameter in natural language; and an output unit that outputs the target parameter.

The invention discloses a software integration method and device, equipment, a storage medium and a program product, and belongs to the technical field of software. The software integration method comprises the steps that a first configuration file and a second configuration file are generated, the first configuration file and the second configuration file comprise various kinds of configuration information needed by M software modules in a currently constructed software package, and M is an integer larger than 1; generating M sub-assembly line tasks according to the first configuration file, wherein the M sub-assembly line tasks are used for constructing the M software modules in a one-to-one correspondence manner; and according to the second configuration file and the trigger assembly line corresponding to the M software modules, coordinating the calling sequence of the M sub assembly line tasks, running the M sub assembly line tasks through the assembly line, and running the M sub assembly line tasks through the assembly line to complete construction of the M software modules. According to the invention, the technical problem that the iteration speed of the intelligent driving system is seriously restricted by the existing continuous integration technology is solved.

An orientation fault detection system is configured to detect improper installation of the dynamic active control system (DACS) controller / software module by receiving data output from a plurality of sensors to determine whether an orientation fault is detected corresponding to an improper installation of the controller / software module. Such determination is made based upon sensor data when corresponding environmental and operational conditions are met, so the orientation fault detection system is further configured to determine whether the requisite conditions are met for orientation fault detection based upon the sensor data. If an orientation fault is detected, the orientation fault detection system initiates a safe state protocol that renders the vessel safe to operate.

The invention discloses an intelligent automatic test system and a test method, and belongs to the technical field of software testing, the system comprises a hardware layer and six software modules, namely a demand analysis module, a large model processing module, a test execution module, a self-healing optimization module, a result analysis module and a knowledge base management module, which are deployed on the hardware layer. The method comprises the following steps: extracting structured data through a demand analysis module, and intelligently generating test assets by a large model core processing module; the test execution module adopts a fusion positioning technology to carry out multi-terminal automatic test; the self-healing optimization module monitors the interface change in real time and automatically corrects the script; the result analysis module identifies defects and generates a report; and the knowledge base module continuously iterates to provide support. According to the invention, full-process automatic closed loop from demand to report is realized, the problems of low efficiency, poor compatibility and high maintenance cost of the traditional test technology are solved, and the test intelligence level and the adaptive capability are obviously improved.

The present invention relates to a smart snap hook device (100) comprising a 'D'- shaped hook body (101) having a primary side and a secondary side; an activation gate (107) disposed on the primary side of the 'D'-shaped hook body (101) having a spring action, and a conductive metal post (104) fitted to the both ends of the gate (107). The primary side of the hook body (101) is integrated with a PCB (110), comprising an alarming unit, that comprises a sensor unit, a buzzer (114), and at least a LED (113). The sensor unit is connected to the cellular device through a software module. The hook (100) sends an alarm signal to the cellular device of the supervisor upon disconnecting state of the hook, thereby ensuring safety of the workers while performing work at height.

The invention discloses a service simulation analysis method and system for a service-oriented architecture, and relates to the technical field of automobile SOA architecture development and test.The method comprises the steps that S1, a full-dimension model containing requirements, functions, software modules, services, interface interaction and network communication links is constructed, and the model can accurately map architecture design logic; s2, screening key service links based on the model, carrying out secondary development automatic simulation and configuring scene parameters, and reducing manual intervention errors; s3, starting simulation, monitoring service execution, data interaction and communication processes, and recording key information; s4, generating a report containing a topological graph from dimension analysis of link integrity, data rationality and the like; s5, optimizing the link and updating the model; and S6, circulating the steps S2-S5 until the link reaches the standard. According to the method, service, data and communication relation operation paths are uniformly displayed, so that the service link integrity problem is effectively improved.

This invention discloses an intelligent decision-making system for precise water allocation in agricultural irrigation districts based on crop water requirement coefficients. The system comprises three main modules: hardware acquisition and execution, software algorithms and modeling, and digital twin simulation and decision-making. These modules operate in a closed-loop logic of acquisition, processing, simulation, decision-making, execution, and feedback. The hardware module employs a four-dimensional collaborative acquisition, dual-mode transmission, and edge computing scheme. The software module incorporates algorithms and adaptation rules such as dual-factor coupling and dynamic water requirement coefficient correction. The digital twin module completes instruction issuance and parameter correction through full-element modeling, LOD optimization, and multi-objective decision-making. This invention, through dual-path feedback, digital twin collaboration, and multi-algorithm coordination, combined with dynamic water requirement coefficient correction, terraced field spatial adaptation, and soil water-salt coupling modeling, accurately matches plot requirements, balancing water conservation, crop adaptation, and energy consumption, thereby reducing irrigation district management costs and adapting to complex irrigation district operations.

The invention discloses a radiodermatitis dermatoscope imageomics prediction method and system and an application program, the system comprises a hardware module and a software module, the hardware module comprises a dermatoscope image acquisition device, and the dermatoscope image acquisition device is used for acquiring a high-resolution dermatoscope image of a radiotherapy treatment area of a patient; the software module is integrated in an application program of a mobile terminal and comprises a radiomics feature extraction module used for extracting quantitative features from dermatoscope images; the parameter calculation module is used for calculating radiomics parameters associated with the skin microstructure change; and the risk prediction module is used for constructing an interpretable machine learning risk prediction model and inputting the patient feature data and the radiomics parameters into the risk prediction model to generate a personalized radiodermatitis risk score for the patient. According to the invention, accurate prediction of acute radiodermatitis is realized.

The invention provides a mine underground electric locomotive trajectory optimization system and method based on multi-sensor fusion, and the system is characterized in that the system comprises a hardware module composed of a multi-sensor collection module, an execution module, a communication module and a control module; and the software module consists of a data preprocessing module, a track optimization algorithm module, a multi-vehicle cooperative control module and an emergency processing module. The underground environment and electric locomotive state data are comprehensively collected through the multi-sensor collection module, fusion and optimization are carried out through the data preprocessing module, the accuracy and reliability of the data are improved, the trajectory optimization algorithm module is combined with multiple optimization targets, and the optimization efficiency is improved. Particularly, the problem of multi-locomotive operation track conflict is effectively solved through the multi-locomotive cooperative control module, a communication and cooperation mechanism between the electric locomotives is established, the safety of operation of the electric locomotives is improved through the emergency processing module, track conflict is avoided, and the operation efficiency, safety and economical efficiency of the mine underground electric locomotives are comprehensively improved.

Disclosed in the embodiments of the present disclosure is a payment service processing method in an Android scenario. The method is applied to a system comprising a point of sale device and a payment capability extension device, and comprises: on a point of sale device, by means of an external software module provided by a service provider of a payment capability extension device, testing position data of a user's interaction in a service page of a native software module of the point of sale device, and on the basis of the position data, determining whether a user has triggered a target service in the service page; if so, interacting with the payment capability extension device by means of the external software module, such that the payment capability extension device obtains capability requirement data adapted to the service provider thereof; and on the payment capability extension device, executing a corresponding target service on the basis of the capability requirement data, and returning execution result data to the point of sale device.

An information handling system comprising a hardware processor to execute computer-readable program code instructions of a first unprivileged artificial intelligence (AI) productivity-tool software process for operations of an AI productivity tool software module to detect receipt of audio / video user query input data and generate a first encryption key for transmission to an audio / video encryption driver and a second unprivileged AI productivity-tool software process. The hardware processor to execute computer-readable program code of the audio / video encryption filter driver to encrypt the audio / video user query input data with the first encryption key for storage in an allocated encrypted storage buffer portion of the kernel system memory and the for second unprivileged AI productivity-tool software process to access the audio / video user query input data from the allocated encrypted storage buffer portion of the kernel system memory with the first encryption key to determine a capability intent action responsive to a user query input.

Encryption system with an application-specific integrated circuit (ASIC) which has a permanent memory for the non-volatile storage of the operating system (OS) of a processor and software modules for encrypting the data memory of the processor and which has a hardware-implemented encryption algorithm, characterized in that a security module (SM) is integrated in the ASIC for autonomous booting of the operating system (OS), consisting of: - a symmetric cryptosystem (SK) for processing symmetric keys, - an asymmetric cryptosystem (AK) for the use of public and private keys, - a module for generating cryptographic hash functions (KH), - a module for the secure exchange of keys using hardware-implemented key exchange protocols (SP), - a key storage (SS) for the secure storage of root keys (WS), which are protected by appropriate measures in the physical structures of the ASIC and - a key management system (SMS) for the secure introduction of authenticated-encrypted key packets, and that the security module (SM) communicates with a central processing unit (CPU) via a communication interface (CS1), and that the central processing unit (CPU) communicates with at least one internal storage (IS) and one external storage (ES), as well as with at least one internal persistent storage (IP) and one external persistent storage (EP), such that the operating system (OS) is loaded by a second-stage bootloader (SSB) stored in the external persistent storage (EP), and then the operating system (OS) loads the applications, the second-stage bootloader (SSB) itself being decrypted and loaded by a first-stage bootloader (FSB) stored in the internal persistent storage (IP), and a public key (PUBOS) to verify the operating system (OS).and a symmetric key (KOS) to decrypt the operating system (OS), and that the contents of the internal memory (IS) and the external memory (ES) are decrypted by the security module (SM) during read accesses by the central management unit (CMU) or other modules integrated on the ASIC, and re-encrypted during write accesses by the same.

A system comprising: a skills data store; an employee action data store; at least one hardware processor; and one or more software modules that are configured to, when executed by the at least one hardware processor, retrieve skills data and employee action data from the skills data store and employee action data store, train a classification model, wherein training a classification model comprises performing feature preprocessing, generating an LDA topic vector and TF / IDF Word2Vec similarity scoring, and use AutoML to train ML models, and infer employee skills and levels based on the classification model and employee action data.

The invention relates to the field of computer vision and medical images, in particular to a placental lesion tissue detection method and system based on artificial intelligence, and the method comprises the following steps: collecting and fusing multi-modal data, and obtaining the multi-modal data of placental lesion tissues by adopting an imaging technology; after the multi-modal data are aligned, lesion tissue labeling is carried out on the visible light image, and a reference label is obtained; and based on a cross-modal space mapping relationship, migrating the reference label to other modals to support multi-modal cooperative training. A software module of the system receives encrypted original data from a hardware module, a containerization technology is adopted to package a model and an operation environment thereof into independent units for deployment and operation, the detection method is realized, and the system is integrated with an external medical information system. According to the method, the detection rate of lesions is remarkably increased, the false detection rate is reduced, the detection performance is remarkably improved, and the detection environment deployment cost of a hospital is greatly reduced.

A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. The compute fabric includes an application layer that includes configured containers or containerized software modules that perform various control, monitoring and configuration activities with respect to one or more devices, control strategies and control loops, sites, plants, or facilities at which control is performed, and includes a physical layer including computer processing and data storage equipment that can be located at any desired location, including at or near a site, plant, or facility at which control is being performed, at a dedicated location away from the location at which control is being performed, in re-assignable computer equipment provided in the cloud, or any combination thereof. This control architecture enables significant amounts of both computer processing and IT infrastructure that is used to support a process plant, an industrial control facility or other automation facility to be implemented in a shared, in an offsite and / or in a virtualized manner that alleviates many of the communications and security issues present in current process and industrial control systems that attempt to implement control with shared or virtualized computing resources set up according to the well-known Purdue model.The industrial control system architecture is protected via more secure and customizable techniques as compared to those used in Purdue model-based control systems. For example, communications between any (and in some cases, all) endpoints of the system may be protected via one or more virtual private networks to which authenticated endpoints must be authorized to access. Endpoints may include, for example, containerized components, physical components, devices, sites or locations, the compute fabric, and the like, and the VPNs may include mutually-exclusive and / or nested VPNs. External applications and services, whether automated or executing under the purview of a person, may access information and services provided by the system via only APIs, and different sets of APIs may be exposed to different users that have been authenticated and authorized to access respective sets of APIs.A configuration system operates within the compute fabric to enable a user to easily make configuration changes to the compute fabric as the user does not generally need to specify the computer hardware within the compute fabric to use to make the configuration changes, making it possible for the user to deploy new configuration elements with simple programming steps, and in some cases with the push of a button.

This application relates to software distribution in wireless AD HOC networks for AD-HOC data processing on source nodes, a method of acquiring software by a source node in a wireless ad hoc network is disclosed. The method includes the source node executing an application software, identifying from the application software a need to process a particular data modality, and determining that the source node is unable to process the particular data modality. In response to the determination, the source node searches a local module repository (MR) of the source node for a software module usable to process the particular data modality, and in response to the source node failing to locate the software module in the local MR, broadcasts a request for the software module to a neighbor node of a plurality of nodes within radio range of the source node. The source node receives the software module from the neighbor node and processes the particular data modality using the software module.

Embodiments allow a mock-enabled software module to access a store of mock output data. Sets of mock output values (“SMOVs”), stored within the mock output store, are mapped to one or more key input values. When input sent to a mock-enabled software module includes one or more key input values that map to a given SMOV, the SMOV is included in a mock response from a target module of the given SMOV. When a set of input values, sent to a mock-enabled software module, does not include key input values that map to a SMOV, the mock-enabled module produces output without triggering any mock response. The mock output store may contain one or more replacement templates that are used to replace one or more mock output values, in a mock response, with one or more corresponding input values from the set of input values received by the triggering module.

Provided are a dynamic analysis method and an apparatus for verifying use of open source software, in which a computer-implemented method for verifying whether open source software is used includes inputting input data from a fuzzer to one or more software modules, collecting data sets generated during a process in which the software module processes the input data, vectorizing the collected data sets, measuring a similarity between the vectorized data sets, and generating a verification result based on the similarity.

The present invention provides a system for monitoring and improving toothbrushing effectiveness. The system comprises a camera device comprising a camera or similar visual sensor configured to capture real-time footage of a user brushing their teeth an AI-powered software module is designed to analyse the footage using object recognition, pose estimation, and motion tracking algorithms to detect the user's hand, toothbrush, and face, a feedback device that comprises a feedback interface that provides real-time visual, auditory, or haptic feedback based on brushing technique, including parameters such as angle, coverage, and movement speed and movement patterns. Wherein the feedback provided comprises instructions to the user to alter their toothbrushing technique to bring the parameters closer to a predetermined set of ideal values. Thereby providing a system operates independently of sensors, accelerometers, or physical markers embedded in or attached to the toothbrush.

An embodiment includes detecting, when a headset device is in a sensor lock engaged state, using a trusted software module of the headset device, a user presence event. An embodiment includes transitioning, using the trusted software module of the headset device, the headset device from the sensor lock engaged state to a sensor lock disengaged state, the transitioning comprising providing power to a privacy sensitive sensor of the headset device and powering on an indicator light of the headset device. An embodiment includes transitioning, using the trusted software module of the headset device, the headset device from the sensor lock disengaged state to the sensor lock engaged state, the transitioning comprising removing power from the privacy sensitive sensor of the headset device and powering off the indicator light of the headset device.

A method and system for classifying a device accessing a computer network. The method including: determining fields of interest that are indicators for classifying the device; reviewing a network traffic flow associated with the device; extracting field / parameter values from a packet associated with the network traffic flow; comparing the extracted field / parameter values with values of the fields of interest to determine at least one device attribute; and classifying the device associated with the network traffic flow based on the comparison. The header fields / parameters may include application name and / or fields / parameters available in a TLS header. The system includes a processor, memory, and software modules and engines that implement the method above.