1614 results about "Output device" patented technology

Utility locators for providing information about hidden or buried pipes or other cavities are disclosed. A locator may be configured to provide positional information associated with the buried utility based on signals received from a line trace signal and a sonde signal and present the positional information on a visual display or other output device.

The invention provides a multi-modal LLM-based building risk prediction management and control method and system, and relates to the technical field of building safety management, and the method comprises the steps: analyzing sensor data, a text report, an image video and a voice instruction of a building construction site through a multi-modal feature extraction module, and generating a structured feature vector set; performing cross-modal semantic fusion and risk coupling analysis by using a multi-modal LLM inference engine to generate a potential risk identification set and a risk level assessment result; dynamically matching a management and control rule of the building safety specification library based on the risk identifier, and outputting a strategy set consisting of an equipment regulation and control instruction, a personnel early warning notification and a regional management and control suggestion; driving a field execution device to implement a control action, and collecting a multi-modal feedback data stream; and calculating a strategy execution efficiency index through a closed-loop optimization module, dynamically updating LLM model parameters and rule weights, and forming a self-adaptive optimization link. The system correspondingly comprises a multi-modal feature extraction and fusion module, an LLM inference engine module, a dynamic strategy generation module, an execution feedback module and a closed-loop optimization module. According to the method, the problems of key feature omission and risk response lag in traditional single-mode analysis are solved, and the risk prediction accuracy and the management and control real-time performance are remarkably improved.

The invention relates to a hearing aid intelligent noise reduction and human voice enhancement system based on electroencephalogram signals, and belongs to the field of biomedical engineering and acoustic signal processing. The system comprises an electroencephalogram signal acquisition module, a multi-channel acoustic sensor array, an embedded neural signal processor, an adaptive beam forming module, a dynamic speech enhancement engine and a dual-mode output device, and constructs electroencephalogram-acoustics joint features by extracting an alpha / theta wave power ratio, a P300 component and auditory cortical Gamma phase synchronism. A deep network is driven to separate target voice, a wave beam direction and a frequency response curve are dynamically adjusted based on neural feedback, a closed-loop calibration unit is innovatively adopted, gain is reversely adjusted according to N1-P2 wave amplitude, heart rate variability and eye movement data are fused to optimize decisions, and when the signal-to-noise ratio is-5dB, the voice recognition rate reaches 89%, the auditory fatigue is reduced by 37%, and the decision conflict rate is smaller than 6%. The defects of attention blind area, noise separation failure and physiological adaptation of a traditional hearing aid are overcome. The system is suitable for the fields of hearing impairment rehabilitation, special communication and intelligent cabins.

The invention discloses an unattended substation autonomous operation and maintenance management platform based on multi-modal data fusion. Multi-source data such as equipment state, intrusion behavior, flood prevention safety and environmental parameters are acquired through a multi-modal data sensing module; the cross-modal space-time fusion module performs timestamp alignment, space coordinate mapping and feature level fusion on the data to generate a unified representation vector; the intelligent analysis module outputs analysis results such as equipment fault probability and intrusion threat level by using a multi-task parallel deep learning model; the autonomous decision-making module dynamically generates an operation and maintenance strategy set based on the rule base and the knowledge graph; the execution driving module converts the strategy into an executable instruction and issues the executable instruction to the edge computing node; the visual interaction module realizes strategy verification through a three-dimensional digital twinborn body; and the edge computing node drives an execution mechanism to complete specific operation and return a result. According to the invention, multi-source data fusion, intelligent analysis and autonomous decision making of the unattended substation are realized, and the operation and maintenance efficiency and reliability are improved.

The invention discloses a multi-mode self-learning diagnosis and early warning method and system for a power distribution system, and relates to the technical field of intelligent operation and maintenance of power systems. According to the method, a visible light image, an infrared thermal image, a sound signal, an environmental parameter and an electrical parameter of the power distribution equipment are collected through a multi-mode sensor, and time synchronization and feature extraction are carried out; multi-modal features are constructed into a hypergraph structure, and cross-modal feature fusion is realized by using a graph attention mechanism; adopting a strategy of combining self-supervised pre-training and supervised fine tuning to carry out multi-objective joint optimization on the fused features to obtain a self-learning diagnosis model; the system inputs multi-modal data in real time during operation, outputs an equipment operation state and a health degree index, and realizes early warning and fault alarm through threshold comparison. According to the method, deep fusion and adaptive learning of multi-source information can be realized, high-precision diagnosis, real-time early warning and online updating capabilities are realized, and the intelligence and safety of a power distribution system are remarkably improved.

The invention discloses a fusion multiply-add operation circuit compatible with multiple floating-point number formats, and the circuit comprises an input device which is used for obtaining three floating-point numbers and control information in a fusion multiply-add operation instruction; the input decoding device is used for analyzing the control information and extracting the symbol, the index and the mantissa of each floating-point number; the multiplication correlation device is used for calculating an initial index, a mantissa product and an initial symbol; the addend aligning and shifting device is used for completing addend mantissa aligning and shifting; the additive operation correlation device is used for calculating an addition result, a symbol, a normalized shift bit number and a direction flag bit according to the mantissa product sum; the original result processing device is used for generating an initial rounding bit, a normalized shift pasting bit and intermediate result data; and the final result output device is used for outputting a final operation result compatible with the IEEE-754 or Point floating-point number according to the rounding information. The circuit area and power consumption are remarkably reduced through hardware integration, and meanwhile the calculation efficiency is improved.

The invention belongs to the technical field of data analysis and processing, and particularly relates to an equipment state monitoring method based on a time sequence synchronous compression mechanism, and the method comprises the steps: 1, a monitoring terminal collects vibration type, acoustic type and acceleration type signals on a unified time baseline of Beidou time service signals, and registers a second sequence number and a frame sequence number in a unified fragment index table; 2, inputting an original time sequence data packet, constructing a phase grid frame by a phase locking ring according to a reference phase rail, extracting road-level flag event bits frame by frame, and fusing the road-level flag event bits into frame-level flag event bits; and step 3, outputting an equipment state label according to a mutual exclusion priority rule only on the basis of the synchronous compression time sequence packet and the coupling mark, the mode instruction and the abnormal fragment mark in the unified fragment index table in the identification window. The method is obviously superior to the prior art in the aspects of time sequence alignment precision, pattern recognition certainty, data compression efficiency and health state judgment reliability.

A method of maintaining the security of an authentication session comprises operating a camera device to continuously capture a view of an environment of a computing device, performing face detection to detect all faces in the environment, performing comparisons between faces detected in the environment and faces of a set of authorized users, at a first time, detecting a first face of an authorized user of the set in the view of the environment and, in response, allowing the authorized user to operate the computing device, and at a second time after the first time, one of failing to detect the first face or detecting a second face that is not of an authorized user of the set in the view of the environment, and, in response, at least partially blocking operator access to input and output devices including blocking a display of the computing device.

The invention provides an ore particle granularity detection device and method based on a flexible vibration disk, and the device comprises the flexible vibration disk which is used for vibrating an ore material at a certain frequency and amplitude, so that the ore material is uniformly distributed and is in a proper posture; the image acquisition device is used for continuously shooting the ore materials on the flexible vibration disc to obtain ore images; the image processing device is used for carrying out preprocessing, segmentation, feature extraction and particle size analysis on the ore image and outputting the ore particle size distribution condition and an accumulative distribution curve; and the result output device is used for displaying the ore image and the granularity analysis result. According to the invention, while material accumulation is prevented, real-time, accurate and efficient detection of attitude distribution of ore materials is realized, and the method has the advantages of low cost of detection equipment, easy maintenance, strong interference resistance, high accuracy and stability of detection results, and the like.

Systems, methods, and storage media for manifesting a virtual object in a virtual environment are disclosed. Exemplary embodiments may: receive, at a first physical object detector, a first signal, from a first physical object-associated element in a first physical environment; identify, at a first value identification module, based on the first signal, a first value associated with the first signal; identify, at a first virtual object identification module, based on the first value, a first virtual object; and manifest, at a first virtual environment output device, a first manifestation of the first virtual object in a first manifestation of the first virtual environment.

An example may provide at least one first generative machine learning model (GMLM) instruction and an intent to a GMLM. The at least one first GMLM instruction is to cause the GMLM to use the intent to generate first GMLM output. The first GMLM output includes GMLM-generated output sections. A device may provide the first GMLM output including the GMLM-generated output sections and at least one second GMLM instruction to the GMLM. The at least one second GMLM instruction is to cause the GMLM to use the intent, the GMLM-generated output sections, and a first data set to generate second GMLM output including at least one first digital element. A device may validate the second GMLM output by comparing the at least one first digital element to at least one second digital element. The at least one second digital element is accessible via a second data set.

The embodiment of the invention discloses a display device and a screen projection display method, and the method comprises the steps: after receiving a screen projection connection instruction sent by a terminal device, sending a starting notice to a player through a screen projection service, and enabling the player to build a data pipeline based on the starting notice. And controlling the player to receive the code stream data sent by the terminal equipment after the data pipeline is established, and processing the code stream data by using the data pipeline when the player receives the code stream data to obtain a video picture and an audio. The display displays a video picture, and the audio output device plays audio. According to the embodiment of the invention, data transmission is directly carried out through the terminal equipment and the player, so that communication delay caused by inter-process communication is reduced, the received code stream data is directly processed after the player establishes the data pipeline, cache is reduced, and the delay time of screen projection display is shortened.

The invention relates to the technical field of intelligent interface generation, in particular to an interactive interface generation method and system, computer equipment and a medium. The method comprises the following steps: receiving a multi-protocol interaction request, and extracting natural language context information carried in the multi-protocol interaction request through a protocol processing layer; according to the natural language context information, executing cue word processing to generate interface generation trigger judgment; when the interface generation trigger judgment indicates that an interface needs to be generated, generating an interface mode definition instance based on the natural language context information and a preset cue word template; and according to the interface mode definition instance, generating an interactive interface through a rendering output device. In this way, the technical problem that in an existing interface generation technology based on natural languages, it is difficult to collaboratively optimize the interface dynamic adaptation capacity and the system expansibility is solved, and the intelligent level, cross-platform compatibility and service response agility of interface generation are improved.

The invention discloses an equipment invariance enhanced multi-modal deep learning model and application thereof, and the model comprises an input module, a coding module, a modal fusion module, a classification module, an equipment adversarial branch module, an output module and a final total loss function. Extracting features through a coding module to obtain audio features and text features; after the audio features and the text features are processed by the modal fusion module to obtain final joint representation, the classification module processes the final joint representation to obtain classification results and corresponding probabilities, and the classification results and the corresponding probabilities are output by the output module; the equipment confrontation branch module enables an audio encoder to confront an equipment classification head in a training stage; and finally, introducing the total loss function in a training stage to optimize the model. The model provided by the invention has the capability of realizing high-accuracy identification on various respiratory system diseases on the premise of not depending on acquisition equipment of a specific brand, and shows excellent generalization performance and robustness in multi-equipment and multi-center data.

A shovel includes a lower traveling structure, an upper swing structure, a non-volatile storage device, an information obtaining device that obtains information related to construction, and a controller that controls a sound output device. The controller is configured to determine a dangerous situation based on information obtained by the information obtaining device. The shovel may be configured to display information on a display device related to the dangerous situation determined to occur.

The present invention relates to a system and method for generating lighting effects based on contextual data. The system includes one or more sources, including microphones, cameras, biometric sensors, environmental sensors, and digital feeds providing information including time, date, season, geolocation, weather, calendar events, or current events. A processor analyzes the contextual data to determine a contextual state associated with an ongoing event or user condition. The processor further identifies secondary trigger conditions through computer vision analysis of screen content, developer-scripted events, generative AI-derived cues, optical character recognition, gameplay events, or transformation of on-screen 2D or 3D visual regions. Based on the contextual or composite contextual state, the processor determines one or more lighting effects, which are then triggered on one or more output devices. This enables dynamic and contextually adaptive lighting responses to both real-world and digital stimuli.

To provide a more suitable response output technique.SOLUTION: A response output apparatus that outputs a response related to AI (AI) collectively transmits a prompt, which is the same question sentence created based on information input by a user, to a first group of a plurality of large-scale language models (LLMs) that are candidates for an answer source, and receives and acquires a plurality of answers including an answer of each LLM from the plurality of LLMs in the first group.SELECTED DRAWING: Figure 4

The system and techniques disclosed herein perform advanced and automatic age verification. The age verification system (AVS) is designed for automated and accurate age-restricted access control and age verification for the sale of age-controlled products. For example, the AVS can be employed to perform age-verification to permit the legal sale / purchase of age-controlled products such as alcohol, tobacco, cannabis, and the like, and Also, the AVS can be used to control legal access to age-restricted areas such as casinos, movie theaters, bars, and the like. The AVS can include a scanner for scanning a barcode printed on an identification (ID) card, an application, and a computer unit having output devices for generating visual, audible, and electronic signals to view, alert, and control age-restricted entry and control the sale of age-controlled products. The AVS can include automatic door lock functionality that supports age-restricted access control.

A system for monitoring a subject in a physical space, the system including: a plurality of sensors for detecting movements of the subject in the physical space; a data processing system configured to: receive from the sensors signals representing detected movements of the subject in the physical space, process the received signals to determine corresponding movements of the subject in the physical space, and select an action from a plurality of predefined actions, based on the detected movement; and one or more output devices for outputting a prompt based on the selected predefined action for the subject.

A system and method for managing queries pertaining to a product are provided. The method includes receiving, by a processing unit, a user query from a user device. Further, one or more contexts are identified from a plurality of contexts by comparing the user query with each context among the plurality of contexts. Each of the contexts includes values of one or more attributes characteristic to at least a part of the product. Further, a prompt is generated by updating the user query based on the one or more contexts identified. The prompt is provided as input to a Large Language Model to generate a natural language output, on an output device.

An information processing apparatus includes an acquisition device that acquires input information, and an output device that generates content using a first element and a second element different from the first element, from the input information such that the content is acquired based on different elements.

To provide more suitable artificial intelligence response output technique which contributes to the Sustainable Development Goals (SDGs): "9 Build resilient industries, promote innovation, and strengthen industrial capacity" and "11 Make cities and human settlements inclusive, safe, resilient, and sustainable".SOLUTION: A response output device comprises an input part and a control part that generates a response request on the basis of user input from the input part, transmits the response request to a large-scale language model, and outputs a response from the large-scale language model in response to the response request. The control part performs a search process based on search conditions specified by a user, extracts candidate content files to be registered in the response request, and registers the content file selected by the user from the extracted candidates in the response request.SELECTED DRAWING: Figure 8

An electronic device, a method, and a computer program product assist users in accessing password protected documents by automating password hint generation. The electronic device includes a controller communicatively coupled to input device(s), output device(s) including a display, and memory that stores user information. In response to detecting a password prompt to enter a password to perform one of password-encrypt or password-decrypt the computer-readable file, the controller is configured to cause the device to identify password instruction(s) associated with the password. The controller analyzes the user information for candidate segment(s) that comply with the password instruction(s). The controller assembles password hint(s) mapping the candidate segment(s) according to the password instruction(s). The controller renders a prompt containing the password hint(s) and modifies the output device(s) to present the password prompt containing the password hint(s), wherein the password prompt is associated with the computer-readable file and presented via the output device(s).

This disclosure relates to systems and methods for improving routing of an audio output signal from an electronic device to an audio output device. Such a system can include at least one inertial measurement unit (IMU) arranged in the audio output device; and at least one processor configured to: receive data from the at least one IMU, determine a current status of the audio output device from the received data as either worn or unworn, route an audio output signal from the electronic device to the audio output device if the current status of the audio output device is worn, and route the audio output signal to an audio output of the electronic device if the current status of the audio output device is unworn.

The invention relates to a building energy management and optimization design method, system and device and a medium. The method comprises the following steps: based on an original data set of a target building, performing calculation through a preset gating circulation unit network to obtain a dynamic environmental protection weight factor; performing feature extraction processing on the equipment operation parameters, the environmental sensor readings and the user comfort feedback data in the original data set to obtain corresponding features, and performing fusion processing on the features and the dynamic environmental protection weight factors through a cross-modal attention mechanism to generate a unified state vector; and inputting the unified state vector into a preset strategy network for decision reasoning processing, and outputting an equipment control action set. According to the method, through a strategy network of dynamic environmental protection weight factor and cross-modal data fusion, the low-carbon, economic and comfortable target collaborative optimization precision of building energy management is improved, and the intelligent level of building energy management and the adaptability to energy use scene changes are enhanced.

A game controller includes gameplaying controls, at least one input device for providing information to a virtual assistant (artificial intelligence assistant), and at least one output device for providing output from the virtual assistant. The virtual assistant may use artificial intelligence to provide information to a user of the game controller, for example information relating to the game being played, such as gameplaying hints, game information, or background information regarding persons, events, and / or objects in the game. Example input devices include a camera and a microphone, and an example output device includes a speaker for providing verbal information or nonverbal sounds to the user.

An acoustic signal output device includes a driver unit and a housing that internally accommodates the driver unit. Here, an acoustic signal emitted from the driver unit to one side is set as a first acoustic signal, and an acoustic signal emitted from the driver unit to another side is set as a second acoustic signal. A wall portion of the housing includes a single or plurality of first sound openings for leading out the first acoustic signal to an outside and a single or plurality of second sound openings for leading out the second acoustic signal to an outside. An attenuation rate of the first acoustic signal at a second point with reference to a predetermined first point where the first acoustic signal arrives, the second point being farther from the acoustic signal output device than the first point, is equal to or less than a predetermined value smaller than an attenuation rate due to air propagation. Alternatively, an attenuation amount of the first acoustic signal at the second point with reference to the first point is equal to or more than a predetermined value larger than an attenuation amount due to air propagation.

Disclosed are systems, apparatuses, processes, and computer-readable media to. According to some aspects, a method of processing audio data may include obtaining, at a computing device, sensing information from an audio device outputting a spatial audio stream for a user, wherein the audio device includes a first audio output device and a second audio output device; determining, based on the sensing information, that the second audio output device is not in use; modifying the spatial audio stream based on determining that the second audio output device is not in use and a head pose of the user to create a modified spatial audio stream; and providing the modified spatial audio stream to the first audio output device.

An electronic device may include first and second modular components removably coupled to one another along a hinge axis. The first component may include a display and may be configured to operate as a stand-alone electronic device when decoupled from the second component. The display may be movable between a first orientation facing toward the second component and a second orientation facing away from the second component. The second component may have one or more input-output devices and / or other components that are not present in the first component to enhance the functionality of the first component. For example, a photography-focused second component may include a visible light camera aligned with an interchangeable lens. An outdoor-focused second component may include a weather-resistant enclosure that receives the first component and that has a replaceable battery and global positioning system receiver circuitry.

Aspects of the disclosure relate to an audio hub that may be connected to a computing device. The audio hub may comprise multiple wired and wireless communication interfaces that may be used to interface multiple peripheral audio devices with the computing device. The audio hub may comprise a built-in reference microphone that may be used for noise cancelation, automatic gain control, and / or acoustic echo cancelation. The audio hub may additionally be configured for audio dosimetry measurements based on output audio signals as sent to an audio output device connected to the audio hub.