99 results about "Scalable system" patented technology

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

The invention discloses an online monitoring system for partial discharge of a main transformer. The online monitoring system specifically comprises a series of modules including sensors, detection equipment, a data acquisition module, a data processing module, a data transmission module and an online monitoring platform, wherein the sensors are reasonably arranged outside the transformer by adopting multi-band combination of ultrahigh frequency, high-frequency current, ultrasonic waves and the like; the detection equipment realizes high efficiency and flexibility through a C language underlying driver and an assembly language data interface, and has various anti-interference and fault early warning technologies; the data acquisition module is used for conditioning an original signal and improving the data quality by adopting various filters; reliable and real-time data transmission is ensured by adopting a TCP / IP protocol; the data processing module comprises a time domain and frequency domain conversion sub-module and other sub-modules for auxiliary diagnosis; the online monitoring platform is based on Web, and is rich in function and extensible; the system monitors a plurality of main transformers in a transformer substation, collects signals through sensors, processes the signals through the modules and transmits the signals to a platform, meanwhile, the system is subjected to regular inspection, software and hardware upgrading optimization and the like to guarantee stable operation of the system, and support is provided for safety of an electric power system.

Systems and methods are provided for real-time, scalable, systematic, event-based, model-driven operational value optimization for resource sites, such as a data center. A system can receive a plethora of real-time information that impacts the optimization of operations at the resource site. The system can apply some or all of this real-time data to powerful decision-making logic which analyzes various factors gleaned from the real-time information in order to determine a dynamic value optimization for operating the resource site. Methods and systems also provide the ability to adaptively command operation of the resource site (e.g., full curtailment of power and / or compute load, partial curtailment of power and / or compute load, etc.) in a manner that dynamically and in real time optimizes operations. Furthermore, the methods and systems provide a solution that has modularly designed logic and a horizontally designed framework to efficiently support a plethora of applications, even at large-scale.

The invention discloses a multi-language data analysis-oriented extensible system, method, equipment and medium, and relates to the technical field of multi-language analysis, the multi-language data analysis-oriented extensible system comprises a grammar analysis module used for analyzing a query language and generating a language-specific syntax tree structure after analysis; the grammar adaptation module is used for converting a language-specific grammar tree structure into an abstract grammar tree AST in a uniform format; the abstract syntax tree processing module injects a permission control strategy, a field desensitization rule and an alarm exception expression into the AST; the business processing module is used for executing business-related rule check and label injection; the query plan generation module is used for constructing a logic query path and a corresponding distributed execution scheme; and the task scheduling module issues the distributed execution scheme to the corresponding execution node. According to the method, by constructing a unified multi-language grammar analysis framework and a standardized abstract syntax tree AST representation mechanism, compatibility and fusion of multiple query languages such as SQL, SPL and natural language are achieved.

The invention discloses a block chain transaction dynamic monitoring management method and system, a storage medium and a device, and the method comprises the steps: enabling a business service system to achieve the self-management and control of transactions through employing an annotation type transaction under default configuration, and setting an expansible system layering architecture; based on an extensible system hierarchical architecture, the method comprises the steps of setting a data access control smart contract, a block transaction data statistics smart contract, a dynamic monitoring smart contract and a network node monitoring smart contract; receiving a consumption payment transaction request initiated by an acquiring system according to the inquired network node information; receiving a consumption return transaction request initiated by an acquisition system; if the order receiving system does not receive the order response given by the business service system within the specified time, making a consumption reversal transaction request, sending a request again, and correcting the original order; and the acquiring system is linked with the wallet to obtain payment fees, and redeeming transaction is carried out according to an assignable strategy. According to the invention, a supervisor can dynamically supervise transaction ecology.

Systems and methods are described for creating and deploying immersive, interactive, and dynamic medical simulation training experiences within augmented reality (AR) and virtual reality (VR) environments. Embodiments include a creation framework that decomposes complex clinical scenarios into modular components, allowing users to construct simulations using an intuitive, block-based interface without requiring programming expertise. These components capture the medical, physiological, and psychological elements of the scenario, enabling the creation of detailed, multidimensional simulations. An integrated AI engine further enhances the system by leveraging a large language model (LLM) to automate and assist in the scenario creation process. The AI engine interprets high-level natural language inputs, predicting and generating detailed simulation instructions, thereby accelerating the development and deployment of custom training scenarios. Once created, the scenarios are processed by a scenario engine that controls various elements of the simulation, including virtual characters, environments, tools, physiological responses, and assessable actions within AR / VR settings.

Described herein is a computer-implemented method comprising: communicatively connecting a requester to a plurality of recommenders and a plurality of providers, at least a portion of the plurality of recommenders being clients of at least a portion of the plurality of providers; receiving from the requester a query including information relating to a type of service; identifying a provider based on the query; sending to the requester, a recommendation of the provider based on a recommender trust value and a recommender distrust value evaluating performance of the provider, both the recommender trust value and the recommender distrust value being independent such that the sum of the recommender trust value and the recommender distrust value is variable; receiving from the requester, an observed trust value and an observed distrust value evaluation of performance of the provider in a requester-provider interaction, both the observed trust value and the observed distrust value being independent such that the sum of the observed trust value and the observed distrust value is variable; revising a recommender reputation value by comparing the observed trust value and the observed distrust value to the recommender trust value and the recommender distrust value; revising a client trust value and client distrust value for the provider based on the observed trust value and observed distrust value. Systems and non-transitory computer readable media for executing the method are also described.

The method provides an automated and scalable system for the generation, distribution, management of symmetric pre-shared keys (PSKs) to applications executing on headless and mobile devices. It helps achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud communications. It helps Transport Layer Security (TLS) enabled applications dynamically acquire and renew PSKs and use identity hints for PSK based authentication ceremony during a TLS handshake. It helps manage and distribute API shared secrets and API access tokens required for authenticated API requests and API security. It helps applications (producers, brokers, and consumers of content) with PSKs for supply chain tamper resistance. It helps real-time low-latency applications with selective encryption of partial messages.

An addition of one or more storage memory devices including a compute express link (CXL) is detected by two or more storage controllers of a storage system. The CXL is configured to provide access to the one or more storage memory devices for the two or more storage controllers. The two or more storage controllers store at least one of data or metadata in the one or more storage memory devices. The two or more storage controllers one or more storage system operations using the at least one of data or metadata.

The invention relates to a system and method for implementing a scalable system. A multi-chip system (100) and structure for modular extension is described. In some embodiments, bonding strips (150) are used to couple adjacent chips (102, 104). For example, a communication bar (150) may be used to couple a logic chip (104), and a memory bar (150) may be used to couple a plurality of memory chips (102) to the logic chip (104).

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

A test and measurement device is described, comprising one or more detection devices configured to receive an event from a corresponding event generator. The test and measurement device also includes a transmitter configured to receive the event from the one or more detection devices and transmit the event. The test and measurement device also includes one or more comparators configured to receive the event from the batch transmitter and forward the event to a corresponding event detector based on a comparison of an event identifier and a detector identifier.

The present disclosure relates to systems and methods for implementing scalable systems. The present invention describes a multi-chip system (100) and architecture for modular expansion. In some embodiments, bonding bars (150) are used to couple adjacent chips (102, 104). For example, a communication bar (150) can be used to couple logic chips (104), and a memory bar (150) can be used to couple multiple memory chips (102) to a logic chip (104).

PROVIDING VIDEO QUALITY WITH IMPROVED IMAGE FIDELITY SOLUTION: Some embodiments of scalable image processing systems and methods are disclosed herein in which the color management processing of source image data to be displayed on a target display (236) is varied according to different levels of metadata (204).SELECTED DRAWING: Figure 2A

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

The present disclosure proposes a bus-based fully automatic three-dimensional reconstruction system for non-cooperative ship targets, which belongs to the field of image processing technology. The system includes: a system bus layer and a functional module layer, wherein the functional module layer contains multiple functional modules for realizing data processing at different stages of the three-dimensional reconstruction process of non-cooperative ship targets; the system bus layer is connected to each module in the functional module layer via a data I / O interface, which is used to call the selected module from the functional module layer to obtain the corresponding data for processing and store the corresponding processing results. The present disclosure introduces the design concept of bus technology. Through the design of modular plug-ins, it can expand the universality of the system, improve the flexibility of the system, and effectively realize the fully automatic three-dimensional reconstruction of reconnaissance images of non-cooperative ship targets on the sea surface.

An operationally unintrusive and scalable system for measurement and transfer of pressure and temperature data from inside a fluid flow tubular such as a subsea pipeline to an existing remote site such as an infrastructure or a subsea vehicle that does not need to penetrate the fluid flow tubular's wall.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

The application discloses a self-evolution multi-agent event semantic understanding system and method based on a dynamic scalable model, which comprises a multi-agent cooperation framework modeling module, a demand understanding and task planning module, a capability verification module, a model dynamic expansion module, a task execution module and a completion module connected in sequence, wherein the multi-agent cooperation framework modeling module comprises a central control type multi-agent, a task execution type multi-agent and a model expansion type multi-agent. The method focuses on a news event semantic understanding scene, constructs a dynamic scalable system architecture through a multi-agent cooperation mechanism, introduces a capability verification link to optimize a task execution process, and realizes on-demand iteration of model capability by using an active learning framework, so that adaptive evolution of agent capability is realized, thereby solving the problems of model rigidity and poor adaptability of a traditional event semantic understanding system in a complex news event scene, and significantly improving the dynamic adaptability and accuracy of news event semantic understanding.

A system including a plurality of processor cores, a plurality of graphics processing units, a plurality of peripheral circuits, and a plurality of memory controllers is configured to support scaling of the system using a unified memory architecture.

This invention discloses a flexible control method for digital twin manufacturing systems addressing uncertainties in the production process, belonging to the field of intelligent manufacturing system technology. The method includes: statistically analyzing the time of the four stages of perception, analysis, decision-making, and execution; determining the advance prediction time by combining system complexity and simulation speed; constructing an scalable system state transition matrix; performing accelerated simulation based on real-time states and injecting uncertain events according to trigger probabilities to obtain multiple future states; selecting the top n high-probability states in descending order of occurrence probability for parallel decision-making; binding decision instructions with corresponding states and issuing them in advance; and executing the corresponding instructions through state matching when the physical system reaches the predicted time, achieving flexible control. This invention can improve the consistency and robustness of "virtual control of the real" in digital twin systems under uncertain conditions and is applicable to multi-level digital twin systems such as machine tools, robots, production lines, and workshops.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

To provide video quality improved in fidelity of images.SOLUTION: Several embodiments of scalable image processing systems and methods are disclosed herein, and thereby color management processing of source image data to be displayed on a target display (236) is changed according to varying levels of metadata (204).SELECTED DRAWING: Figure 2A

To provide a decoder device that, in the use and application of image metadata, either a single level or several levels of metadata, improves the rendering of images and / or videos and the viewer experience to achieve video quality with improved image fidelity.SOLUTION: In a metadata-enabled image / video pipeline (200), the color management processing of source image data to be displayed on a target display (236) is altered according to various levels of metadata (204).SELECTED DRAWING: Figure 2A