552 results about "Intelligent computing" patented technology

A collision detection and data synchronization mechanism operates to expand the speed and capability of distributed applications. The execution environment employs collision detection and data synchronization to distribute data objects to appropriate network nodes to support local processing. The collision detection and data synchronization mechanism defines the set of processes and algorithms used to track distributed data objects and to manage changes to the distributed objects throughout a network of intelligent computing devices. Data and code are distributed to local computing devices necessitating tracking and synchronizing updates. The system and method ensures that data updates received during the course of a local transaction do not unwillingly affect the results of other transactions by notifying the local computing devices of changes to the data that are subject of the transaction. These conflicts are then resolved in the applications, and notification of the resolution is sent to the remaining intelligent computing devices.

The present invention discloses methods and apparatus for developing, analyzing, investigating, and advising healthcare and well-being related decisions. In particular, the present invention relates to the architecture of systems in either stand-alone or distributed/collaborative/pervasive settings, the components of the systems and their underlying processes and couplings, the computational techniques built into the methods, input data sources integrated into and output results produced and distributed by the systems, as well as the apparatus for carrying out the corresponding user interaction, data access and collection, data integration and processing, data-driven inferences and simulation, intelligent computations, decision analytics, and decision support to generating solutions to various healthcare analytics and decision-making problems. This invention also relates to two working illustrations of the methods and apparatus that present the embodiment illustrations of the present invention.

A method for displaying a user-defined artifact in a debugger view is provided. The user-defined artifact is defined in a software application that is developed by a computer software application developer. The software application is included in a packaged application that includes instructions, with each instruction being either a user-defined instruction or a non-user defined instruction. A breakpoint is defined at a desired instruction of the packaged application. The method includes initiating debugging of the packaged application and hitting the breakpoint defined at the desired instruction. Also included is identifying the user-defined artifact in the software application and obtaining data to populate the debugger view. Further included is filtering-in data associated with the user-defined artifact and displaying the debugger view showing the filtered-in data. The method also includes marking data not associated with the user-defined artifact and stepping through the user-defined instruction.

An accurate grammar analyzer based on a so-called POST (part-of-speech tagged) parser and a learners' model for use in automated language learning applications such as the template-based ICALL (intelligent computer assisted language learning) system.

The invention relates to an automatic driving vehicle intersection scheduling system and method based on vehicle road cooperation, and belongs to the technical field of automatic driving. The system and method solve the problem about vehicle road cooperation of automatic driving vehicles at intersections. The system comprises a vehicle-mounted communication terminal, a roadside measurement and control communication terminal, an intelligent computing center terminal and a cloud traffic scheduling platform; vehicle running state data transmitted by the vehicle-mounted communication terminal, real-time traffic data collected and transmitted by the roadside measurement and control communication terminal and manual scheduling instructions transmitted by the cloud traffic scheduling platform form a vehicle scheduling information set through data fusion, traffic light timing calculation, lane guiding and lane switching setting conducted by the intelligent computing center terminal, and the vehicle scheduling information set is sent to the vehicle-mounted communication terminal to achieve driving control over the automatic driving vehicles. The system and method increase the intersection road utilization rate to the largest extent, and real-time dynamic high-precision data updating is realized.

The invention relates to a real-time searching and combining technology of a mobile end three-dimensional city model based on Internet. The technology realizes a three-dimensional real city scene of shooting and obtaining an image of a mobile terminal including an intelligent cell phone and the like, namely a front face image of an interested city building can be shot by the mobile terminal; a size unchanged characteristic conversion descriptor is extracted and a non-linear encoding matrix is used for encoding and compressing; a server is connected through a wireless Internet and the three-dimensional city model is automatically searched from the Internet; the three-dimensional model which does not meet the requirements is automatically filtered and an optimal model is intelligently calculated; if the related three-dimensional model cannot be searched, the related image is searched; based on an image reconstruction three-dimensional model, the three-dimensional model and attribute information are automatically transferred to the mobile terminal to be overlapped with a two-dimensional map; and therefore, a user can browse and inquire region space information of the user in real time. The real-time searching and combining technology disclosed by the invention has a wide application prospect on the aspects of city navigation, space position service and the like.

A technical hotline resource management method and system provides a business solution for contact centers which receive contacts both through telephone-based inquiries and web-based inquiries. The disclosed method and system provides, among other things, intelligent calculation of projected resource requirements, a common schedule template for all groups engaged in providing technical assistance, simple input and maintenance screens, a readily-viewed calendar of employee schedules, detailed employee profiles (which identify employee skills), and options for scheduling different work types during given increments of time. Having such information readily available the technical hotline resource manager can thus readily review lists of available employees, groups, and technical requests and can route the inquiries efficiently and quickly. Using the disclosed method and system the resource manager is able to schedule different work types over the contact information, thus enabling employees to be assigned to various work types, including responsibility for different types of inquiries (telephone-based and web-based) as well as for training and meetings, avoiding unnecessary work beyond standard work schedules.

The invention provides a method for intelligently computing the personalized rational medication time. The method comprises the steps of building a medication time related multi-dimensional attribute item dictionary, extracting medication time related element information, carrying out multi-dimensional processing on the medication time related element information, setting priorities of the medication time, extracting medication related element information of a patient, carrying out multi-dimensional processing on the medication related element information of the patient, setting the work and rest time of the patient, generating the rational medication time of a single drug, and generating the rational medication time of whole drugs of the patient. By implementation of the intelligent medication guiding method, system and equipment, massive medication data can be analyzed and processed through an information technology, and an intelligent medication guidance mode is provided.

The invention provides an LED cloud street lamp intelligent control and decision making system based on Internet of Things. The LED cloud street lamp intelligent control and decision making system based on Internet of Things is characterized in that novel efficient energy saving light source LED lamps are used based on a current street lamp control system; an intelligent chip is arranged in each street lamp to name and identify the street lamp; the Internet of Things wireless sensing technology is used to perform data communication between lamps so as to connect the lamps to form a controllable street lamp network, and then the controllable street lamp network is connected with a cloud computing center through a stable Internet of Things communication technology, and automatically sets a optimal illumination scheme by means of background data processing and a control program and according to the factors, such as the local latitude and longitude, the climate, the light and the traffic, so that remote single lamp control, real-time control, adaptive adjusting, early warning of faults and the like can be realized; and the data, such as the environment data, acquired by the street lamps, can be transmitted to the cloud computing platform in the wireless mode, and then an optimal illumination adjusting scheme is generated through intelligent computing analysis and judgment of the acquired data, so that the Illumination As Required adaptive management function can be realized.

The invention discloses an intelligent computer. The intelligent computer comprises a hybrid neural network application layer, an HnetCP interface layer, a LabGrid middleware layer and a software and hardware resource layer. In the hybrid neural network application layer, a customer realizes a hybrid neural network system and develops a visual hybrid neural network application development environment through an interface of the HnetCP interface layer. The HnetCP interface layer defines various interfaces for operating a hybrid neural network, a top-layer application is an application in the hybrid neural network application layer, and bottom-layer network middleware is the LabGrid middleware layer. The LabGrid middleware layer provides a grid operation environment for the upper-layer application. The software and hardware resource layer is located at the bottom, and software resources comprise kinds of software supporting the upper-layer application. According to the intelligent computer, knowledge stored in the computer and experiential knowledge of people are integrated, and the overall advantages of a computer system are exerted.

The present disclosure relates to a neural network quantization parameter determination method and related products. A board card in the related products includes a memory device, an interface device, a control device, and an artificial intelligence chip, in which the artificial intelligence chip is connected with the memory device, the control device, and the interface device respectively. The memory device is configured to store data, and the interface device is configured to transmit data between the artificial intelligence chip and an external device. The control device is configured to monitor the state of the artificial intelligence chip. The board card can be used to perform an artificial intelligence computation.

The invention discloses a cloud intelligent invoice identification and examination system and method based on a scanner. Paper-based information of an invoice is converted into an electronic image through a scanner. The electronic image of the invoice is subjected to intelligent processing and identification through an Internet cloud intelligent computing center. Intelligent comparison and automatic query are carried out through corresponding content in tax bureau website query systems and tax bureau end invoice databases, an authentication examination result is generated, the result is sent back to an examiner, rapid, simple and accurate query of invoice authenticity is achieved for an examiner, the accuracy reaches 99.99% effectively, a plurality of invoice scanning images can be uploaded at the same time, and the query efficiency is high. The invoice query operation is simplified, the efficiency is raised, the system facilitates supervision of functional departments, illegal behaviors of producing and selling false invoices or the like are restrained effectively, and great loss of the nation is avoided.

The embodiments of the invention disclose a greenhouse crop planting environment Internet of things intelligent regulation and control system and method. An Internet of things cloud platform receivesa first data packet which includes standardized crop planting environment data and is sent by an agricultural Internet of things gateway, and carries out data processing and data analysis on the standardized crop planting environment data according to a preset intelligent computing model, and determines that a control command is sent to the agricultural Internet of things gateway according to dataprocessing and data analysis results. Each Internet of things control device or a servo subsystem receives the various control commands of the agricultural Internet of things gateway, executes regulation and control motion, and completes the adjustment of corresponding parameters so that each parameter associated with a current crop planting environment tends to be each parameter expected value associated with a preset crop planting environment. In the scheme of the invention, for different planting areas, climates, seasons, crops, and different growers, targeted, intelligent, and personalized intelligent regulation and control can be performed.

Disclosed are an integrated authoring system for an electronic technical manual and a paper technical manual using logistics support analysis data, which is capable of authoring an interactive electronic technical manual (IETM) of Class IV level and a paper technical manual at the same time. The integrated authoring system for an electronic technical manual and a paper technical manual using logistics support analysis data comprises: an iCAST-LSA (intelligent computer based acquisition support tool-logistics support analysis) module; a TMM (Technical Manual Management) module for performing a technical manual management function by importing from the DB of the iCAST-LSA module or exporting to the DB of the iCAST-LSA module; an illustrated drawing manager module; and a TMA (Technical Manual Author) module for performing a manual author manager function for sending and receiving illustrated drawings (ID) or CGM data to and from the illustrated drawing manager module.