242 results about "Critical time" patented technology

Handling of multiple connections during NAT traversal for a node behind a symmetric NAT is disclosed. The likelihood of connection failure during symmetric NAT traversal may be reduced by serializing critical time windows after port prediction. Once port prediction has begun for a first connection, port prediction for a subsequent connection may be delayed until a connectivity check has begun for the first connection. This process may be repeated to handle NAT traversal for multiple simultaneous connections to different nodes.

A medical system (100) for the treatment of morbid obesity comprising an inflatable balloon (110) implanted in a gastric cavity, a percutaneous fillant delivery tube (120) and a control module (130) connected to the tube for regulating the inflation and deflation of the balloon. The balloon may be individually contoured and inflated to occupy a large volume of the gastric cavity to provide a feeling of satiety. The balloon may also be deflated to give the gastric cavity lining a rest during less critical time.

A method and system for enhanced electronic delivery and sale of a content item. In order to speed delivery and avoid congestion of a delivery channel, a potential customer is identified and the item delivered prior to solicitation by the customer. Delivery is at a time when communication resources available prior to a critical time of peak demand. Delivery of the item may be enhanced via multicasting. Sale of the item is encouraged through one click context sensitive buying.

A battery management system (BMS) manages a battery for a hybrid vehicle including an engine control unit and a motor generator controlled by the engine control unit and connected to a battery including at least one battery pack, each pack including a plurality of battery cells. The BMS includes a sensor and an MCU unit. The sensor detects temperature, current, and open circuit voltage (OCV) of the battery. The MCU receives the detected temperature, current, and OCV, calculates a key-off time period which is a period between a time point when a battery key-on state ends and a time point when a subsequent battery key-on state begins, calculates an OCV error range corresponding to an SOC error range detected at the key-off time point, and infers an initial SOC of the battery.

The invention discloses a method for forecasting the traffic flow in the urban area based on depth learning. This method can forecast the traffic flow in each region of the city by extracting the high-dimensional space-time characteristics of traffic flow changes, which provides a new idea for urban traffic flow forecasting. Firstly, according to data of LPR equipment, the historical flow of each time period of the urban area is calculated; then the traffic flow forecasting model is designed by ConvLSTM and CNN, and the flow data of the critical time period which affects the forecast period is extracted as the input training model; and finally, the trained model is used to forecast the traffic flow of the urban area.

A system and method for latency assignment in a system having shared resources for performing jobs including computing a new resource price at each resource and sending the new resource price to a task controller in a task path that has at least one job running in the task path. A path price is computed for each task path of the task controller, if there is a critical time specified for the task. New deadlines are determined for the resources in a task path based on the resource price and the path price. The new deadlines are sent to the resources where the at least one job is running to improve system performance.

A temporal-influenced geospatial modeling system and method forecasts the likelihood of desirable and undesirable events. In one aspect, the present invention designates at least one temporal feature, determines an intensity function representing an expected value of event type instances corresponding to the temporal feature, determines a time window break associated with the intensity function and assesses whether the time window break is a critical time point for the event type.

A computer implemented method for cloud bursting applied to a database includes employing a database live migration using a database hot backup capability to support database cloud bursting without client service interruption in multitenant databases, ascertaining a critical time to start/redo the database cloud bursting to a public cloud so as to meet a service level agreement SLA while leveraging a private cloud for the database to a maximum level, and determining tenants of the database to burst into the public cloud to responsive to costs and benefits.

A method and system produce a warning signal to warn a driver of a vehicle about a potential obstacle crossing behind the vehicle, for example as the vehicle is backing out of a parking space. The system and method use a sensor to detect, monitor and track the position and velocity of a potential obstacle relative to the subject vehicle, in a detection space behind and to the sides of the vehicle, preferably to predict the probability that the trajectory of the potential obstacle will intersect with the trajectory of the subject vehicle at a critical time.

A medical system (100) for the treatment of morbid obesity comprising an inflatable balloon (110) implanted in a gastric cavity, a percutaneous fillant delivery tube (120) and a control module (130) connected to the tube for regulating the inflation and deflation of the balloon. The balloon may be individually contoured and inflated to occupy a large volume of the gastric cavity to provide a feeling of satiety. The balloon may also be deflated to give the gastric cavity lining a rest during less critical time.

The invention relates to an automatic braking method and system based on image recognition and millimeter-wave radar fusion. The method comprises the following steps: millimeter-wave radar is adopted to acquire a radar image of a target in front of a vehicle and the distance between the target and the vehicle; a vehicle-mounted camera is adopted to acquire an image of the environment in front of the vehicle and a target image; the radar image of the target, the image of the environment and the target image are processed through deep learning based semantic segmentation; weighting fusion is performed on the processed images, and the distance between the vehicle and the target, the speed and acceleration are calculated according to the image information subjected to weighting fusion; estimated time for collision of the vehicle with the target is calculated according to the distance between the vehicle and the target, the speed and the acceleration; the vehicle is controlled to brake automatically when the estimated time for collision reaches collision braking critical time point. Braking control is performed after weighting fusion of the radar image of the target, the image of the environment and the target image, so that the automatic braking accuracy is higher, and the driving safety is improved.

In a signal coordinating method and apparatus, a pulse generating circuit receives a VSYNC signal and generates a plurality of critical pulses that define critical time periods from fields can control edges of the VSYNC signal. A determining circuit receives an HSYNC signal and the critical pulses, and generates a trigger signal upon detecting that a line scan control edge of the HSYNC signal appears during one of the critical time periods. A time delay loop introduces a time delay into the VSYNC signal upon receipt of the trigger signal to cause the critical time period to appear after the line scan control edge of the HSYNC signal.

The invention discloses a bus behind-schedule recovering method based on arrival time predication with a time window. The method provides a behind-schedule recovering concept on the basis of arrival time predication of a bus. The specific method comprises the following steps of: firstly, predicating arrival time of the bus by using Kalman filtering; secondly, taking a predication result as the basis and giving out a dispatching time judging time window; and finally, providing the behind-schedule recovering concept and introducing a time deviation coefficient; taking a corresponding speed of a critical time deviation coefficient and a maximum allowable speed as restrictions to establish a behind-schedule recovering model, so as to provide a referred speed of road segment driving to a bus driver and a dispatching center to avoid possible behind-schedule or recover normal operation as soon as possible.

Systems and methods for controlling traffic on a communications network include dynamic and flexible control plans that enable service providers to control or influence customer access to communications facilities. Communications facilities are monitored to identify network elements, such as cell sites, that are overloaded. When the traffic intensity on a particular facility exceeds a predetermined level, either active or passive control is imposed on subscribers that are in the geographic area of the facility. Active control involves blocking, delaying or disrupting subscriber calls during the critical time period. Passive control involves providing cost incentives or disincentives during low or peak periods of traffic intensity. Customers are notified of the commencement and/or termination of active or passive control preferably via SMS. When implemented with stationary cellular service, the systems and methods aid in traffic engineering and provide opportunities for customers to reduce the cost and increase the accessibility of telephone service.

The present invention relates to a method for making a user easily replay a scene on which a specific person appears included in a movie. The method includes the steps of: (a) distinguishing persons appearing in the movie by recognizing their faces; (b) obtaining identifier of each distinguished person, feature data of the persons, information on time zone in which each person appears, wherein the information on the time zone includes a starting time and an ending time and wherein the ending time for a person is determined as the last time that the person appeared if the person has not appeared for more than a certain critical time; (c) displaying the identifier at a request of replay of the movie; and (d) replaying the movie from the starting time for a specific person who corresponds to a specific identifier if the specific identifier is selected.

The invention provides a CCPDI-IMPM method for large deformation analysis pf a saturated porous medium based on a u-p control equation of a generalized Biot theory and a convective particle domain interpolation technology, and the method comprises saturated porous medium large deformation consolidation process analysis and saturated porous medium large deformation dynamic process analysis. According to the method, an implicit time integral strategy is adopted to overcome the defect that a traditional explicit material point method is limited by a critical time step length, and particularly, the calculation efficiency is remarkably improved when a quasi-static problem is solved; and the grid boundary smooth interpolation advantage of the CPDI and the Euler-Lagrangian description advantage of the implicit substance point method are combined, so that compared with the traditional FEM, the calculation performance is more stable when large deformation and extremely large deformation are processed. The invention further provides a method for expanding the substance penalty factor, and the method is used for processing the boundary condition of the fluid-solid coupling system more simplyand accurately.

The invention provides a video advertisement monitoring method and device. The method comprises the following steps of acquiring video advertisement data played by an electronic screen in real time; performing frame cutting treatment on the video advertisement data according to a preset time interval, obtaining a plurality of cutting frame pictures, and sorting the plurality of cutting frame pictures according to a time point before the frame cutting treatment; grouping the sorted cutting frame pictures according to a preset period of time, performing image recognition on all cutting frame pictures in each group, and obtaining a key period of time corresponding to the grouped cutting frame pictures; and performing image comparison on the cutting frame pictures within the key period of time and a preset standard picture, and determining whether a target advertisement is played. The video advertisement monitoring method and device provided by the invention can effectively guarantee the 24-hour video advertisement monitoring, effectively save the time needed for analysis and process through the confirmation of the key period of time, and can accurately judge whether the target advertisement is broadcasted and reduce the labor cost and time cost.

The invention belongs to the technical field of grid-connected photovoltaic power generation, in particular to the photovoltaic generation power volatility based on an autoregressive model and an automatic generation control reserve demand computing method thereof. Simulation is performed by using meteorological data to obtain the output of a photovoltaic array and analyses are performed on the photovoltaic generation wave characteristics of different time scales and different space scales by utilizing photovoltaic array output data; a spectral analysis is performed on the photovoltaic array output data by proposing to use the autoregressive model, so as to obtain the critical time scale of photovoltaic output fluctuations; separation is performed on components of the critical time scale by utilizing a rolling-average method, and the separation proves that the probability distribution effect is good by adopting t distribution fitting, and the AGC (Automatic Generation Control) capacity requirement of an example is obtained by computing, a specific method of operation is provided for a quantitative analysis of the photovoltaic generation power volatility, and a certain reference significance of promotion of intermittent new energy consumption and study of assurance of power network safety operation is realized.