25 results about "IMT Advanced" patented technology

Disclosed herein is a Voice-Enabled AI Chat Agent, optimized for use within web browsers. This advanced AI system facilitates natural, voice-driven interactions, allowing users to engage in conversations through speech instead of traditional text input. It features a sophisticated voice recognition module, a dynamic natural language processing engine, and a versatile role adaptation mechanism, enabling it to assume various user-defined roles such as a tutor, doctor, or counsellor. Designed with an emphasis on accessibility and user-friendliness, this AI chat agent represents a significant advancement in human-computer interaction, making digital communication more intuitive and accessible for a wide range of users.

Methods, systems, and computer storage media for providing a cross-domain secure authentication engine in an item listing system are described. The cross-domain secure authentication engine is an advanced, modular system designed to handle user authentication seamlessly across different service domains, while ensuring security features and an adaptive user experience. In an item listing system, the cross-domain secure authentication engine operates based on a security-focused framework that streamlines user authentication across multiple domains without sacrificing user experience. It integrates a modal containing an iframe-based sign-in interface associated with a separate authentication domain and employs a postMessage API for cross-origin communication. Key features include dynamic modal resizing—adjusting the sign-in window to different authentication steps (like email, password, or OTP)—and parameterized iframes that remove unnecessary UI elements for a cleaner user experience. The cross-domain secure authentication engine also supports security measures and supports incremental, multi-step authentication flows to reduce user friction.

A safety monitoring AI system comprising interconnected safety AI wearable devices and a remote monitoring AI server to handle real-time data prioritizing urgent safety signals to optimize response time, wherein the safety wearable devices comprise multiple sensors (GPS, temperature, heart rate, humidity, VOC etc), advanced communication capabilities (LTE 4G, NB-IoT, LTE-M, NTN) and can be worn in various versatile configurations without any modification (belt, armband, ankle, helmet, etc); and wherein the AI devices form a peer-to-peer mesh network architecture exchanging relay signals to eliminate single points of failure, share safety-critical data through neighboring devices and preprocess data at device level. The invention allows to enhance workplace safety across various industries by offering a scalable, integrated solution that can adapt to different wearing configurations and operational requirements while maintaining robust communication and monitoring capabilities.

Embodiments of the present disclosure relate to a system, software application, and methods for providing an improved electronic written communication that sounds like the user, as well as being tailor-fit to the writing style of the recipient in order to avoid miscommunication caused by personality, clarity, cultural, or generational writing differences. Systems and methods of the present disclosure may enhance written electronic communication through the integration of personalized profiles for both senders and recipients. By leveraging advanced stylometry and behavioral psychology profiling, the system tailors communications to fit individual needs. Additionally, this solution ensures that system-generated content matches the sender's natural writing style, saving time and maintaining authenticity. The system also provides real-time feedback and adjustments to avoid potential communication frictions. Moreover, embodiments of the present disclosure bridge miscommunication gaps caused by cultural and generational differences by interpreting these nuances and incorporating them into the improved electronic written communication.

Methods and devices for advanced spectroscopy are described herein. In one aspect, a method for determining levels of a biomarker of a user by a mobile device can include: generating a first light having a first wavelength; collecting emission signals resulting from the first light interacting with the user; measuring emission counts of the emission signals over a period of time; causing to be determined at least one of (i) a level of the biomarker of the user and (ii) a change in the levels of the biomarker of the user over the period of time based on the measured emission counts; and generating a notification indicative of the at least one of (i) a level of the biomarker of the user and (ii) a change in the levels of the biomarker of the user.

A scalable, automated timed text workflow system designed to optimize the generation and refinement of time-synchronized textual content for video is disclosed. Integrated Machine Translation (MT) models and advanced AI-driven tools such as Computer Vision, Generative AI, and Traditional AI automatically generate and refine timed text, including subtitles, closed captions (CC), and SDH (Subtitles for the Deaf and Hard of Hearing). Human review is coordinated through a workflow orchestration system when needed, offering flexibility and scalability for handling high-volume media processing across various platforms and formats.

The present disclosure relates to an active-passive antenna system for wireless telecommunication networks. The system integrates active and passive antenna elements into a single unit, with the active portion capable of selecting between different frequency bands and adjusting transmission power to mitigate thermal noise. Advanced components enable dynamic beamforming and MIMO functionality, while the passive portion provides consistent coverage at lower frequencies. The unitary radome design simplifies installation, reduces tower lease costs, and improves aesthetic integration. Computer processing components determine trigger events and modify the active portion's transmission profile, ensuring optimal performance and reliable connectivity across various deployment scenarios.

A smart irrigation system is disclosed, integrating advanced components to optimize water management. The system comprises a central controller interfacing with remote terminal units, environmental sensors, and a hybrid communication network supporting Thread, Bluetooth Mesh, Wi-Fi, and PLC protocols. Utilizing real-time and historical data, the controller dynamically adjusts irrigation schedules to conserve water and maximize efficiency. Localization technologies such as ToF, AoA, and RSSI provide precise zoning and component tracking. Energy efficiency is achieved through RTC-based scheduling, complemented by a battery management system that integrates solar panels and a water-driven generator for reliable, off-grid operation. The system incorporates AI-driven fault detection and blockchain encryption to enhance operational reliability and security. This comprehensive solution addresses energy consumption, precision irrigation, and secure communication for sustainable agricultural practices.

Devices, systems, methods, and processes for tackling the problem of sticky clients in wireless networks using machine learning processes are described herein. Thresholds related to data rates and / or Received Signal Strength Indicators (RSSI), for Access Points (APs) in a network are identified. These thresholds are configured to dynamically adjust, either based on the time of day or real-time roaming patterns, with the aim of mitigating sticky clients and enhancing overall network performance. Advanced machine learning techniques such as Graph Neural Networks are implemented within the domain of deep learning to significantly alleviate sticky client concerns and promote seamless connectivity for all users.

A body area network architecture is described that establishes a communication standard using the body as the physical medium. By leveraging vascular conductivity and bone resonance, the system enables the autonomous monitoring and correction of physiological states in a closed-loop artificial homeostasis. The invention integrates metabolic energy harvesting mechanisms to power biocompatible micro-nodes and a security protocol based on the unique biological identity of the data stream. The system employs digital modulation processes to transmit biosignals through fluids and skeletal structures, eliminating reliance on external radio frequencies.This technology is applicable in precision medicine, industrial safety and advanced human-machine interface systems, providing a redundant, encrypted and ultra-low power communication infrastructure for continuous monitoring of vital parameters without external electromagnetic interference.

This describes the methods, systems, and computer storage media used to provide a cross-domain secure authentication engine in a project listing system. The cross-domain secure authentication engine is an advanced modular system designed to seamlessly handle user authentication across different service domains while ensuring security features and an adaptive user experience. In the project listing system, the cross-domain secure authentication engine operates based on a security-centric framework that simplifies user authentication across multiple domains without sacrificing user experience. It integrates a modal window containing an iframe-based login interface associated with a separate authentication domain and uses the postMessage API for cross-origin communication. Key features include dynamic modal window resizing (adjusting the login window based on different authentication steps, such as email, password, or OTP) and parameterized iframes that remove unnecessary UI elements for a cleaner user experience. The cross-domain secure authentication engine also supports security measures and incremental, multi-step authentication processes to reduce user friction.

Disclosed are a method and a device for PDSCH transmission or reception in a wireless communication system. According to an embodiment of the present disclosure, a method for transmitting hybrid-automatic repeat and request (HARQ)-acknowledgement (ACK) information may comprise the steps of: receiving, from a base station, downlink control information (DCI) for scheduling of a physical downlink shared channel (PDSCH) in a physical downlink control channel (PDCCH); receiving the PDSCH from the base station; and transmitting an HARQ-ACK codebook including HARQ-ACK information for the PDSCH to the base station. The PDCCH may be repeatedly transmitted in a plurality of monitoring occasions (MOs), and a parameter related to the HARQ-ACK codebook may be determined on the basis of the most advanced MO among the plurality of MOs.

The present invention relates to a method and apparatus for automatically capturing voice signals without separate user operation in various voice communication environments, such as conferences, calls, and general conversations, and for performing integrated tasks including real-time or post-hoc transcription (STT), hybrid summarization, identification of key remarks, comparative verification with pre-uploaded data, and synchronous storage on a remote server. The key steps consist of voice capture, STT, summarization, remark identification, verification of missing items, and synchronous storage, and each step ensures accuracy and reliability by including advanced preprocessing and analysis techniques such as multi-language support, speaker separation, noise removal, and OCR processing. The present invention significantly reduces the burden of communication recording and analysis tasks through an automated workflow, and resolves issues of missing information and work delays by providing real-time feedback and notification of missing items. In addition, it supports consistent data management among multiple terminals through central server synchronization and a permission-based security module, and simultaneously improves organizational collaboration efficiency and information reliability by enabling the secure storage and sharing of sensitive information.

An innovative system for integrating generative artificial intelligence (AI) capabilities within Software as a Service (SaaS) platforms. By leveraging advanced AI techniques, seamless data synchronization, intelligent task management, and predictive workflow optimization across multiple SaaS platforms are described. Key components include an AI-driven data synchronization system, an intelligent cross-platform task manager, and an adaptive user interface. The system also features a cross-departmental health monitoring and notification mechanism, alongside an intent-based interaction system. This solution enhances organizational efficiency, improves decision-making, and provides unprecedented levels of automation and insight in managing complex SaaS ecosystems.

This invention provides an advanced road traffic system and method for improving road safety. [Solution] The present invention relates to an electronic device and a computer program. It is provided that events detected by road users and / or road infrastructure are broadcast to the environment via a direct communication signal that includes cloud upload information indicating whether or not the event is being uploaded to a backend server. Based on the cloud upload information, surrounding road users receiving the direct communication signal know whether or not it is necessary to upload the detected event to the backend server. Thus, redundant uploads of detected events to the backend server by other road users who are connected to or can connect to the backend server may be prevented.

The invention provides a comprehensive system and method for managing and mitigating damage to public and private facilities caused by vehicular accidents. It integrates with existing police and government systems through open API programming, utilizing mobile and desktop applications for efficient data collection and report generation. The system employs advanced geofencing, timestamping, and analytics capabilities to streamline accident documentation, cost estimation, and insurance claim processing. A layered architecture enables secure data management while facilitating real-time information exchange with external platforms. Key features include automatic file creation upon first photograph capture, comprehensive repair tracking with location validation, and sophisticated analytics for cost estimation and financial impact analysis. The system maintains exclusive data control while enabling secure access through controlled APIs, implements multi-channel notifications, and provides public-facing transparency tools. By automating and optimizing the entire process from accident reporting to cost recovery, the invention enhances efficiency, reduces administrative burden, and improves public infrastructure management.

Real-time makeup virtual try-on (VTO) on resource-constrained platforms like mobile devices and web browsers demands a delicate balance: models must be accurate enough for realistic results yet lightweight and fast enough for smooth performance. Existing approaches often rely on separate models for facial landmark detection and occlusion-aware segmentation, increasing complexity and hindering real-time performance. There is proposed, in accordance with embodiments, a unified model that performs both tasks within a single, highly efficient architecture. Specifically designed for VTO, the model offers enhanced accuracy around critical areas like the eyes and lips. Operations can be further optimized for real-time performance by leveraging temporal information: predictions from previous video frames guide current predictions, increasing parallelism and reducing inference time. Trained with a simplified pipeline, the unified model achieves accuracy comparable to state-of-the-art lightweight alignment models while maintaining a small footprint.

The application discloses a kind of network connection unmanned plane control method and system, including the following steps: step S1, communication connection establishment: unmanned plane is connected with ground control station by encrypted wireless communication protocol, and information exchange is carried out with surrounding other network connection equipment;Step S2, flight task planning: ground control station generates flight task planning according to user demand and environmental information, and unmanned plane receives and carries out localization processing;The network connection unmanned plane control method of the application realizes the accurate control and efficient management of network connection unmanned plane by introducing advanced communication protocol and intelligent decision algorithm, improves the accuracy and safety of unmanned plane operation;The network connection unmanned plane control system of the application adopts modular design concept, each module is independent and cooperates with each other, improves the flexibility and scalability of system, can satisfy the demand of diversified application scene, realizes the promotion and breakthrough to network connection unmanned plane control technology.

Real-time makeup virtual try-on (VTO) on resource-constrained platforms like mobile devices and web browsers demands a delicate balance: models must be accurate enough for realistic results yet lightweight and fast enough for smooth performance. Existing approaches often rely on separate models for facial landmark detection and occlusion-aware segmentation, increasing complexity and hindering real-time performance. There is proposed, in accordance with embodiments, a unified model that performs both tasks within a single, highly efficient architecture. Specifically designed for VTO, the model offers enhanced accuracy around critical areas like the eyes and lips. Operations can be further optimized for real-time performance by leveraging temporal information: predictions from previous video frames guide current predictions, increasing parallelism and reducing inference time. Trained with a simplified pipeline, the unified model achieves accuracy comparable to state-of-the-art lightweight alignment models while maintaining a small footprint.

This invention discloses a segmented precision production allocation string and method for horizontal wells. The string includes a segmented production allocation string for sand control and a completion production allocation control string. The segmented production allocation string contains at least two wireless production allocation and sand control units, each containing a wireless production allocater. The completion production allocation control string includes a pump and a wired controller. The number of wired controllers and wireless production allocaters are identical and correspond one-to-one. The wired controllers and wireless production allocaters can wirelessly transmit signals to each other. This invention pre-installs the wireless production allocaters on the sand control string, applying multiple wireless production allocaters within the sand control string, reducing construction steps and lowering construction difficulty. This invention significantly improves the balanced production allocation capability of horizontal wells, providing an advanced technical means for the long-term development of horizontal wells.

This invention discloses a device management method and system based on multi-level navigation and visualization chart integration. It utilizes a modular B / S architecture for real-time device monitoring, acquires real-time monitoring data, and constructs a configurable multi-level navigation tree to divide the navigation hierarchy and dimensions of the managed devices. Through the multi-level navigation tree, it locates the path of the navigation target and constructs a visualization chart for the device and data points corresponding to each terminal node of the navigation tree. Visual monitoring and early warning are then performed through these visualization charts. By introducing advanced technical architecture and data analysis methods, this invention achieves refined and efficient collaborative management of aluminum production equipment, significantly improves the intuitiveness and analytical depth of process parameter monitoring, strengthens multi-dimensional data analysis and intelligent decision support capabilities, and enhances the system's universal adaptability and deployment flexibility in the aluminum industry, possessing high industry promotion value and reusability.

The application discloses a new energy station overhead transmission line lightning trip-out evaluation method, comprising the following steps: S1, collecting tower grounding characteristic parameters, line basic information parameters, tower structure and insulation, and corridor topographic data and preprocessing; S2, constructing a shielding trip-out rate calculation model by using a striking distance method; S3, taking the preprocessed data in S1 as input, and calculating the shielding trip-out rate of each level tower by using the shielding trip-out rate calculation model established in S2; S4, constructing an equivalent model corresponding to each part of the tower; S5, taking the preprocessed data in S1 as input, and performing electromagnetic transient simulation on the equivalent model corresponding to each part of the tower established in S4 to calculate the back striking trip-out rate of each level tower; and S6, integrating the shielding trip-out rate of each level tower calculated in S3 and the back striking trip-out rate of each level tower calculated in S5, and performing data integration, analysis and result output. An advanced data preprocessing process is introduced, and the outlier identification and elimination are performed by using the Relyada criterion.

The application discloses a kind of based on edge cloud cooperation's deep-sea deep ground high-end drilling equipment virtual-real fusion intelligent operation and maintenance system, the system is aimed at the operation and maintenance needs of high-end drilling equipment under complex environment, integrates edge terminal module, cloud platform module, virtual-real fusion interface module and demonstration verification module.The edge terminal module is responsible for real-time acquisition of multi-source heterogeneous data, and preliminary fault identification is carried out through edge computing for near-source pretreatment, to reduce data transmission burden;The cloud platform module receives edge upload data, realizes global data fusion, advanced machine learning model training and operation and maintenance decision optimization;The demonstration verification module carries out adaptive system deployment, performance evaluation and optimization.The application improves data transmission delay significantly through edge cloud efficient cooperation mechanism, improves overall operation and maintenance reliability, reduces unplanned downtime loss.It is suitable for intelligent operation scene such as offshore oil platform, deep geological exploration.

Systems, apparatus and methods are described for purposes of initiating a response to detection of an adverse operational condition involving a system including a drill rig and an inground tool. The response can be based on an uphole sensed parameter in combination with a downhole sensed parameter. The adverse operational condition can involve cross-bore detection, frac-out detection, excessive downhole pressure, a plugged jet indication and drill string key-holing detection. A communication system includes an inground communication link that allows bidirectional communication between a walkover detector and the drill rig via the inground tool. Monitoring of inground tool depth and / or lateral movement can be performed using techniques that approach integrated values. Bit force based auto-carving is described in the context of an automated procedure.