44results about How to "Reduced resolution time" patented technology

A predictive model generator that enhances customer experience, reduces the cost of servicing a customer, and prevents customer attrition by predicting the appropriate interaction channel through analysis of different types of data and filtering of irrelevant data. The model includes a customer interaction data engine for transforming data into a proper format for storage, data warehouse for receiving data from a variety of sources, and a predictive engine for analyzing the data and building models.

A solid-state imaging apparatus includes: a pixel array section in which pixels including photoelectric conversion elements are two-dimensionally arranged in a matrix form, and a plurality of systematic pixel drive lines to transmit drive signals to read out signals from the pixels are arranged for each pixel row; and a row scanning section to simultaneously output the drive signals through the plurality of systematic pixel drive lines to a plurality of pixel rows for different pixel columns.

A predictive model generator that enhances customer experience, reduces the cost of servicing a customer, and prevents customer attrition by predicting the appropriate interaction channel through analysis of different types of data and filtering of irrelevant data. The model includes a customer interaction data engine for transforming data into a proper format for storage, data warehouse for receiving data from a variety of sources, and a predictive engine for analyzing the data and building models.

A solid-state imaging apparatus includes: a pixel array section in which pixels including photoelectric conversion elements are two-dimensionally arranged in a matrix form, and a plurality of systematic pixel drive lines to transmit drive signals to read out signals from the pixels are arranged for each pixel row; and a row scanning section to simultaneously output the drive signals through the plurality of systematic pixel drive lines to a plurality of pixel rows for different pixel columns.

An exemplary method for reducing user-perceived scene resolution time to render a node tree in a three-dimensional environment includes identifying a first cache node in the node tree at a first level of detail. The exemplary method also includes computing a first priority score based at least on a depth in the node tree of the first level of detail and a first tile distance. The exemplary method further includes identifying a second cache node in the node tree at a second level of detail different from the first level of detail. The exemplary method also include computing a second priority score based at least on a depth in the node tree of the second level of detail and a second tile distance. The exemplary method further includes ordering cache node requests based at least on the relative values of the first and second priority scores.

The present invention provides a synchronizer for receiving an incoming data signal of a first clock domain and for outputting a data signal of a second clock domain. The synchronizer comprises an input stage, a master latch, a transfer stage and a slave latch. The input stage receives the data signal of the first clock domain and outputs the data signal to the master latch when the input stage is clocked with a master clock signal. The master latch stores the data signal at a storage node of the master latch. The master latch has a resolve time associated with it during which the master latch seeks to resolve the data signal to a logic 0 or a logic 1. The transfer stage transfers the data signal stored in the master latch to the slave latch when the transfer stage is clocked with a slave clock signal.

A communication apparatus determines a communication mode in a network in which the communication apparatus is to participate. If the communication apparatus determines that the communication mode is the infrastructure mode, it selects a client function. If the communication apparatus determines that the communication mode is the ad hoc mode, it selects a server function. The communication apparatus operates as an apparatus having the selected client function or server function.

The invention relates to a mobile communication technique domain, especially a network element alarm intelligent monitoring system, comprising network element alarm acquisition modules connected by communication network, managing modules and alarm customization modules, wherein the network element alarm acquisition modules are connected with network elements to acquire network element alarms and store the alarm in an alarm bank based on alarm signal and alarm content classification; and the user is subjected to identification authentication by the managing modules and the related authorizations are allocated; the alarm customization modules immediately sends short message to maintenance personnel to pre-warn when the alarm exceeds the threshold based on network element alarm threshold defined by authorized users. The system can perform centralized monitor and alarm to whole network elements to handle the network element alarm in time.

A scripting language, scripting-language execution environment and methodology is provided that allows for the self-tuning of troubleshooting scripts and, in particular, to allow for the execution of the troubleshooting workflow in an order that will resolve the user's troubleshooting issue with improved accuracy and speed.

A method implemented in an optical flexible wavelength division multiplexing FWDM network includes finding a first channel out of available channels with sufficient spectrum on a given route out of available channels in an optical FWDM network; finding a second channel at a lower wavelength out of the available channels for minimizing total spectrum on the given route; selecting a channel out of the available channels on K-distinct shortest routes; and finding line rates of channels using a predetermined channel selection.

The invention discloses a power grid fault intelligent processing system based on a knowledge graph. A fault processing plan analysis module of the system is used for obtaining a fault processing entity and relation knowledge; the graph generation module is used for storing the identified entities and entity relationships in a triple form to obtain an equipment entity knowledge graph, an accident plan knowledge graph and a disposal flow knowledge graph; the fault sensing module is used for intelligently sensing and collecting information related to power grid faults in a power grid system; the fault risk assessment module is used for carrying out risk identification; and the fault intelligent processing module is used for reasoning a processing measure suitable for the current fault based on the accident plan knowledge graph and the processing flow knowledge graph in combination with the topological change, the power flow and the alternating current power supply frequency before and after the power grid fault after the power grid has the line fault. According to the invention, comprehensive intelligent alarm information can be sensed in all directions, and scheduling personnel are guided to carry out intelligent disposal on power grid risks and power supply restoration based on the established knowledge graph.

The invention discloses a structured query language (SQL) performance optimization method. The method comprises the step of pre-configuring an SQL parameter. The method further comprises the steps of: calling the SQL parameter, inquiring a questioned SQL according to the SQL parameter, and warning the questioned SQL if the questioned SQL is inquired; providing an SQL optimization recommendation to the questioned SQL according to the warning; and residing the SQL optimization recommendation. The invention further discloses an SQL performance optimization system.

The invention discloses a fresh flower selling management system and method based on a block chain technology, and relates to the technical field of fresh flower management. A data acquisition module acquires real-time data of a fresh flower planting link and a logistics transportation link, transmits the real-time data to a block chain storage module, and binds an identifier of a fresh flower; the block chain storage module is used for storing the fresh flower information and storing the data of the full life cycle of the fresh flowers in a distributed account book; the user access module is used for checking a display legend of the fresh flower and related information of the fresh flower at a user side, and the intelligent contract module is used for generating order information and carrying out payment settlement and automatic account division; the inspection module is used for inspecting flower quality and flower information; and the abnormity monitoring and feedback module is used for timely recording and sending notifications when abnormity is found in the planting, transportation or sales process, and quickly positioning problem nodes. According to the method, the transparency of the whole flow of fresh flower planting and transportation is improved, the data security and credibility are ensured, and rapid traceability is realized.

The invention discloses a load transfer method based on an optimal flow method and a Mayeda spanning tree method. The load transfer method comprises the steps: simplifying a power distribution network, reading faulty distribution network topology, employing a method of combining an optimal flow method and a Mayeda spanning tree method to reconstruct a fault power distribution network. The reconstruction method comprises the following steps: establishing a load transfer target function and constraint conditions; opening a section switch, selecting an available interconnection switch, closing toform a looped network; determining an optimal flow mode at the moment; finding out the section switch branch with the minimum load shedding capacity of the corresponding looped network as the optimalsolution of the corresponding branch; checking whether constraint conditions are met or not: if not, adding the constraint conditions to the target function in a penalty function form, then selectinga new available interconnection switch to replace the previously selected interconnection switch, and repeating the method until the absolute value of the increment of the target function meets preset iteration precision, so as to obtain the optimal topological structure of the load transfer power distribution network. According to the invention, the optimal load transfer scheme can be obtained in a relatively short time.

A domain name resolution system, a domain name resolution server, and a domain name resolution method are provided. The domain name resolution method comprises following steps: configuring a same extensive domain name for portal domain names using a same server group; resolving a domain name requested by the client to a portal domain name via a CNAME; performing resolving on the portal domain name, and using a resolution result as the resolution result of the domain name requested by the client to be sent back to the client.

The invention provides an electric energy metering fault diagnosis troubleshooting expert system based on the Internet, which comprises a first mobile terminal, a background data analysis and processing system and a cloud database server. The cloud database server is provided with an electric energy metering diagnosis fault library; the first mobile terminal is in communication interconnection with the background data analysis processing system and used for allowing field maintainers to input fault phenomenon description information and transmit the fault phenomenon description information tothe background data analysis processing system; and the background data analysis processing system is also in communication interconnection with the cloud database server, calls data in the electric energy metering diagnosis fault library according to the received fault phenomenon description information, and sends the output fault elimination processing step to the first mobile terminal. The electric energy metering fault diagnosis troubleshooting expert system based on the Internet has the advantages of remote online property, high fault-removing efficiency and low labor cost.

A method, apparatus, and system provide the ability to simulate dynamic motion for a computerized model (of finite mesh elements). An element diagonal lumped mass matrix of the mesh, an estimate of a highest element eigenvector and eigenvalue of the mesh, and a kinematic state of the model are computed. Various steps are iterated until a total time duration is exceeded. A time, kinematic state, and stress state are advanced. Incremental strain and stress tensors, and hypo-elastic material constants are computed. Within the total time duration iteration, the following steps are iterated until eigenvalues are converged: a power-sweep strain field is computed from the highest element eigenvector using a current gradient operator; a power-sweep stress field is computed from the strain field using the material constants; divergence of the power-sweep stress field is computed using the current gradient operator; and a power-sweep estimate is computed that includes an estimate of the highest eigenvector and highest eigenvalue. Upon convergence, the stability limit is determined and utilized as a time interval for simulating the dynamic motion.

The method comprises: the debug port receives the debug requesting message and saves it into the shared memory, and sends said debug requesting message to the distributor; according to the configuration rule, after the distributor extracts the destination IP address and confirms it is identical with the preset IP address in the multi-core processor, it outputs the debug notice message to said multi-core processor; after receiving the debug notice message, the multi-core processor executes the debug task.

The invention discloses a natural gas mobile monitoring system. Users can monitor indoor natural gas through a mobile phone terminal. The system includes combustible gas probes, carbon dioxide sensors, dust concentration sensors, temperature and humidity sensors, receiving control modules, intelligent gateways, servers, and mobile terminals. The invention makes full use of the advantages of the Internet of Things, and monitors the indoor environment by placing several sensors of the same type in different places indoors and placing a plurality of combustible gas probes near the natural gas pipeline. The collected data is uploaded to the server, and the mobile terminal obtains the data by request, analyzes the dust concentration and temperature and humidity data, and dynamically adjusts the alarm threshold of the mobile terminal according to the relationship between the upper and lower limits of the explosion of carbon dioxide and natural gas. After receiving the alarm, the user can control the valves and fans in the environment through the mobile terminal. Intelligent monitoring of natural gas has been realized.

The invention supplies a multi- viewpoints establishment method based on the simulation anneal algorithm, first according to viewpoint integer n and the actual processing terrain divides terrain into K block; Then stochastically chooses a n / K viewpoint in each terrain block, and computation all viewpoints sight and sight merge visible cover scope; the obtained beforehand step result took as the original state, uses the new improvement the simulation anneal algorithm separately to extract the best viewpoint combination in each terrain block, from this obtains the approximate overall situation viewpoint establishment. This invention make the improvement to the classics simulation anneal algorithm from the objective function and drew back the warm function two aspects, overcame the defect of low establishment plan efficiency and could not apply to the actual shortcoming based on the traditional simulation anneal algorithm, the invention time efficiency enhances 15-20times, the precision loses in 2%.

This invention provides one multi-point observation set method based on multiple resolution rate process, which comprises the following steps: firstly processing multi-resolution to get different resolution shape data; for special shape observation point number based on minimum resolution rate shape data to get the observation point set by artificial intelligent formula; then using the observation point as initial value and adopting double linear plug method to find out relative higher resolution rate shape data relative position to re-use the set method based on human intelligent formula; in lower degree of resolution shape data to get initial value base to computer the observation point set.

An apparatus for supplying a solution to a substrate includes a nozzle unit. The nozzle unit may include at least one nozzle having a variable structure in which lateral portions of the at least one nozzle are bent toward a central portion of the at least one nozzle. Each nozzle of the nozzle unit may include a hinged connecting member disposed at the central portion of each of the nozzles. The hinge angles between lateral portions of each of the nozzles may vary during operation. Each of the nozzles may include a plurality of spray holes for uniformly providing a developing solution onto the photoresist film. Some of the plurality of holes positioned near the central portion of the nozzles may be substantially wider than some of the plurality of holes positioned near lateral portions of the nozzles.

The invention relates to an intelligent customer service method, and aims to provide personalized and accurate customer service reply through advanced technical means. The method comprises the following steps: firstly, acquiring and analyzing a query request of a user regardless of the form of text, voice or image; thirdly, intention recognition is conducted through a preset response model, a user portrait is generated in combination with historical interaction data of the user, and customer service requirements are predicted according to the user portrait. And by correcting the prediction intention data and considering the user preference, an accurate customer service reply is generated. In addition, the system also collects subsequent behavior data of the user, constructs a service scoring data set, and continuously optimizes the service model by using a machine self-learning algorithm. According to the method, the user satisfaction can be effectively improved, the click rate and the conversion rate are increased, the response time is shortened, the problem solving rate is improved, and continuous service optimization and performance improvement are realized.

The object of the present invention is to provide a substrate processing apparatus and a substrate processing system capable of performing an appropriate processing in response to the operating condition of the substrate processing apparatus and of realizing an improvement in the availability rate of the apparatus. The substrate processing apparatus includes: storage section for storing a plurality of recipes describing a procedure for processing a substrate and operating authorities of a user corresponding to the plurality of recipes; and display section for displaying an authority setting screen for setting the operating authorities of the user to the respective recipes and an edition screen for editing a recipe stored in the storage section on the basis of the operating authority set via the authority setting screen. The substrate processing apparatus can edit the authority setting screen displayed by the display section and can set different operating authorities to the recipe between when the operating condition of the substrate processing apparatus is online and when the operating condition of the substrate processing apparatus is offline.

The invention discloses an assistant teaching method and system based on an artificial intelligence large model, and the method comprises the steps: collecting the learning behavior data of a student, building a student learning condition model based on the learning behavior data, and carrying out the real-time diagnosis and analysis of a learning state; a knowledge graph covering teaching contents is established, so that the relation and reasoning between concepts can be conveniently searched; a hidden knowledge structure is found by using a graph neural network technology, and the organizability of teaching contents is improved; teaching content and steps are dynamically adjusted according to the learning condition and progress of the student, and personalized learning experience is provided; teaching content suitable for the learning characteristics of the target student is generated for each student; a virtual experiment environment simulating a real situation is constructed, so that students can perform practical operation; teaching strategies are adjusted in real time according to feedback of students, and high learning participation degree is kept; learning condition analysis and improvement suggestions are provided for teachers, and continuous improvement of teaching quality is promoted. The learning effect is improved, the learning experience is enhanced, and the teaching management is optimized.

A communication apparatus determines a communication mode in a network in which the communication apparatus is to participate. If the communication apparatus determines that the communication mode is the infrastructure mode, it selects a client function. If the communication apparatus determines that the communication mode is the ad hoc mode, it selects a server function. The communication apparatus operates as an apparatus having the selected client function or server function.