551 results about "Current point" patented technology

A solar cell regulator in a nanosatellite includes a pulse width modulated DC-DC boost converter and a peak power tracking controller for converting solar cell power to bus power for charging of system batteries and powering loads while the controller controls the pulse width modulation operation of the converter for sensing solar cell currents and voltages along a power characteristic curve of the solar cell for peak power tracking, for determining any power data point, including a peak power point, an open circuit voltage point, and a short circuit current point along the power characteristic curve of the solar cell, and for communicating the power data to a satellite processor for monitoring the performance of the solar cell during operational use of the satellite.

A video annotation interface includes a video pane configured to display a video, a video timeline bar including a video play-head indicating a current point of the video which is being played, a segment timeline bar including initial and final handles configured to define a segment of the video for playing, and a plurality of color-coded comment markers displayed in connection with the video timeline bar. Each of the comment markers is associated with a frame or segment of the video and corresponds to one or more annotations for that frame or segment made by one of a plurality of users. Each of the users can make annotations and view annotations made by other users. The annotations can include annotations corresponding to a plurality of modalities, including text, drawing, video, and audio modalities.

There is provided a method for running anti-virus software for a file system that is accessible by a client through a server. The method includes (a) creating a current point-in-time copy (PiTC) of the file system, (b) determining whether a file in the file system is changed, based on a difference between the current PiTC and an earlier PiTC of the file system, and (c) determining whether the file is to be examined by the anti-virus software, based on whether the file is changed.

Apparatus performs a method that includes the steps of: receiving (210) a location parameter request for a mobile entity; determining (220) a set of location parameters corresponding to the mobile entity, the set of location parameters comprising at least an identification of a current point of attachment of the mobile entity; and communicating (230) a response comprising at least a portion of the determined set of location parameters. Another method includes the steps of: receiving (310) a message comprising a set of location parameters corresponding to the mobile entity, wherein the set of location parameters is based on an identification of a current point of attachment of the mobile entity; and setting (320) a network access configuration for the mobile entity based on the set of location parameters.

To provide a destination prediction apparatus which predicts a destination more accurately than before. A destination prediction apparatus which predicts a destination of a mobile object includes: a stay characteristic accumulating unit (103) in which stay characteristic information indicating a time period when the mobile object will likely stay at a predetermined point is accumulated; a travel time calculating unit (104) which calculates a travel time in the case where the mobile object heads from a current location obtained by a current point obtaining unit (101) to the point; and a destination predicting unit (106) which calculates an estimated arrival time based on a current time obtained by a current time obtaining unit (105) and the calculated travel time and predicts the point as a destination only when a condition that the calculated estimated arrival time and a time period indicated by the stay characteristic information is satisfied.

A method of automatically controlling a respiration system for proportional assist ventilation with a control device and with a ventilator. An electrical signal is recorded by electromyography with electrodes on the chest in order to obtain a signal u_emg(t) representing the breathing activity. The respiratory muscle pressure p_mus(t) is determined by calculating it in the control unit from measured values for the airway pressure and the volume flow Flow(t) as well as the patient's lung mechanical parameters. The breathing activity signal u_emg(t) is transformed by means of a preset transformation rule into a pressure signal p_emg(u_emg)(t)) such that the mean deviation of the resulting transformed pressure signal p_emg(t) from the respiratory muscle pressure p_mus(t) is minimized. The respiratory effort pressure p_pat(t) is determined as a weighted mean according to p_pat(t)=a·p_mus(t)+(1−a)·p_emg(t), where a is a parameter selected under the boundary condition 0≦a≦1. The airway pressure p_aw(t) to be delivered is calculated as a function of preselected degrees of assist VA (Volume Assist) and FA (Flow Assist) by sliding adaptation as

wherein t_i is a current point in time and t_i−j, wherein j=1, . . . , n, are previous points in time of a periodical time-discrete sampling, and k_j and h_j, wherein j=1, . . . , n are parameters dependent on resistance (R), elastance (E), positive end-expiratory pressure (PEEP), intrinsic PEEP (iPEEP), Volume Assist (VA) and Flow Assist (FA) and the sampling time Δt, and the ventilator is set by the control unit so as to provide this airway pressure p_aw(t_i)

A method is provided of predicting a degree of service-quality compliance in an IT infrastructure. The method is carried out at a current point of time within an evaluation period before the end of the evaluation period, wherein service-quality compliance means that a service-quality parameter of the IT infrastructure complies with a service-quality objective. The method includes obtaining a statistic which indicates probabilities that the service-quality parameter will comply with the service-quality objective in sub-periods of the future part of the evaluation period. The statistic is based on known compliance frequencies in equivalent sub-periods in the past. A calculation, on the basis of the statistic, indicates an estimated duration in which the service-quality objective will be complied with during the future part of the evaluation period.

The present invention relates to a 3D point cloud FPFH characteristic-based real-time three dimensional space positioning method. The method comprises a step 1) of obtaining the 3D point cloud data from a depth camera; a step 2) of selecting the point cloud key frames; 3) a point cloud pre-processing step; 4) a characteristic description step of using an ISS algorithm to obtain the point cloud key points and obtaining the FPFH characteristics of the key points; 5) a point cloud registration step of firstly utilizing a sampling consistency initial registration algorithm to carry out the FPFH characteristic-based initial registration on two point clouds, and then using an ICP algorithm to carry out the secondary registration on an initial registration result; 6) a coordinate transformation step of obtaining a change matrix of the three dimensional space coordinates of a mobile robot, and transforming the coordinate of the current point cloud into an initial position via a transformation matrix; a step 7) of repeating the steps 1) to 6), and calculating the coordinate of the robot relative to the initial position along with the movement of the robot. The method of the present invention has a better accuracy for the real-time positioning of the mobile robot on a bad illumination or completely dark condition.

The invention relates to a time-space domain hybrid video noise reduction device and a time-space domain hybrid video noise reduction method, and belongs to the technical field of video image processing. The device comprises a time domain noise reduction module, a smoothing coefficient storage module, a reference frame storage module and a space domain noise reduction module. The method comprises the following steps that: the time domain noise reduction module calculates noise variance, the motion intensity of a current point and a weighting coefficient of the current point according to the current point and a reference point; the time domain noise reduction module calculates and stores a smoothing coefficient of the current point and a time domain filtering result of a current frame respectively; and the space domain noise reduction module performs space domain filtering to obtain noise-reduced image data. Therefore, the combined application of time domain noise reduction and space domain noise reduction is realized, a good noise reduction effect can be achieved, system overhead required by the noise reduction can be effectively reduced, and system cost is lowered. The noise reduction device is simple in structure; and the noise reduction method can be conveniently and widely applied.

A system that displays content on a computer display. During operation, the system displays the content items within a display area on the computer display, wherein content items surrounding a current point of interest are displayed within a visible region of the display area. If the visible region has insufficient space to display some of the content items, the system selects a portion of the content items to be collapsed. Next, the system collapses the selected content items into one or more folds within the display area, wherein a fold is a compact representation of a contiguous group of adjacent content items and is located in place of the contiguous group of adjacent content items. For each fold, the system then displays a summary of the collapsed content items in the fold.

In a wireless communication system including base transceiver stations connected to a wired network and wireless system terminals, the wireless system terminals are individually registered in a plurality of communicable base transceiver stations and at the same time set in a multilink connection state. Then, a base transceiver station that has a lower communication load and in a more stable communication state at current point in time is selected from among the multilink base transceiver stations connected to a wireless system terminal, thereby performing data communication with the wireless system terminal. With this arrangement, when an individual fixed connection is switched, no load is produced at the time of roaming, and stabilization of communication and balancing of communication loads resulting from switching of the base transceiver stations for use are realized. The throughput of the overall wireless communication system is thereby improved.

A method of processing an interactive service and an apparatus thereof are disclosed. The present invention includes generating a trigger, wherein the trigger contains a first identifier and a parameter, wherein the first identifier identifies an application to be launched, wherein the parameter contains a media time stamp and a content identifier, wherein the media time stamp indicates a current point in the playout of a content, wherein the content identifier identifies the content currently being viewed, wherein the trigger is passed into the application after the application is launched, and wherein the application delivers the content identifier to a server in order to identify the content currently being viewed; generating a broadcast signal including the trigger; and transmitting the broadcast signal.

A voice and text mail application method and apparatus capable of supporting both synchronous and asynchronous voice communication. The application is configured to (i) simultaneously and progressively store media of an incoming message as the media is received at a communication device over the network and (ii) provides a “catch up” rendering option which enables the rendering of previously received media of the message starting at any previous point of the message and to catch up the rendering to the current point or head of the message as the media of the message is being received. By rendering the previously received media of the incoming message out of storage at a rate faster relative to when the media of the incoming message was originally encoded, eventually the rendering will catch up and seamlessly transition the rendering from an asynchronous time-shifted mode out of storage to a synchronous mode as the media of the message is received over the network. In various alternative embodiments, the application also enables the (a) screening of the media of the incoming message as the media is received over the network; (b) the ability to join a live conversation with the sender of the incoming message as the media of the incoming message is received over the network, and/or (c) the option to ignore the media of the incoming message.

The embodiments of the invention provide a spatial index construction method and device for mass point cloud data. The method comprises the steps of performing partitioning treatment on acquired original point cloud data to obtain a plurality of point cloud data blocks; for each point cloud data block, establishing an octree index of the current point cloud data block; performing combining treatment on the octree indexes of the multiple point cloud data blocks to obtain a spatial index structure of the original point cloud data. According to the technical solution, the conventional octree index structure is improved; partitioning treatment is performed on original point cloud data, so that mass point cloud data can be disassembled and thus memory space occupation in spatial index construction is reduced; after multiple octree indexes are combined, an octree index where target data are located can be found first and then target data can be searched for based on the found octree index in later query, so that the query efficiency is greatly increased.

The invention discloses a method and system for processing point cloud data. The method includes: calculating distance of a current point in point cloud after topology construction and neighborhood points, mean values mu of the distance and a standard deviation sigma for expressing data dispersion degree; judging whether the distance between one neighborhood point and the current point p is in an interval of mu+-alpha-sigma, if on yes judgment, neglecting, otherwise deleting the point; building a bounding box data structure used for expressing point cloud grid space for the point cloud, and calculating distance between a central point p0 of a current bounding box and other points in the current bounding box, a mean value mu0 of the distance and a standard deviation sigma0; judging whether the distance between one point in the current bounding box and the central point p0 is in an interval of mu0+-alpha0-sigma0, if on yes judgment, deleting the point, otherwise neglecting. The point cloud processing method improves accuracy of noise point filtration and precision of point cloud data and effectively reduces redundancy of the point cloud data.

Systems, devices and methods for applying therapeutic transcranial magnetic stimulation (TMS) to at least one superficial cortical target brain region and at least one deep brain target so that the induced current points between the superficial cortical and deep brain targets. Systems may include two TMS electromagnets configured for treating a patient by stimulating at least one deep brain region with one TMS magnet at the same time that a second TMS magnet stimulates at least one superficial cortical brain region. Also described are positioners to secure at least two TMS magnets in a substantially fixed arrangement relative to the patient's head, while allowing for fine adjustment of position and orientation of each of the TMS magnets individually to conform them to the shape of the contact surface of the body and to direct the vector direction of the overall induced current from the magnets.

The invention discloses a short-term traffic flow weighted combination prediction method, which comprises the following steps of: (1) organizing historical traffic flow data by utilizing a dynamic clustering algorithm; (2) performing short-term traffic flow prediction by using an improved nearest neighbor nonparametric regression method; (3) performing the short-term traffic flow prediction by taking a cluster which is the most similar to a current point in a historical database as a training sample of a fuzzy neural network and using a fuzzy neural network model; and (4) determining the weight of a combined prediction method according to a prediction error of the improved nearest neighbor nonparametric regression method and the fuzzy neural network model in the last time bucket, and outputting a final prediction result in a weighted combination way. A traffic flow in the last time bucket and a traffic flow of related turning at an upstream road junction are taken into account, the training sample of the fuzzy neural network is optimized, and the final prediction result is output in the weighted combination way, so that short-term traffic flow prediction accuracy and real-time performance are improved.

There is provided a route search apparatus including a measuring unit configured to measure a traveling distance or a traveling time, a position information acquiring unit configured to acquire position information of a current point. a start point registering unit configured to register the position information, which is acquired by the position information acquiring unit when the measuring unit starts the measurement, as position information of a start point, and a route searching unit configured to, if an operation of returning to the start point is detected, search a return route between the current point designated as a departure point when the operation of returning to the start point is detected and the start point designated as a destination.

The invention provides a neighbor weight-based parameter selection and transmission point cloud attribute encoding and decoding method, encoding equipment and decoding equipment. The coding method comprises the following steps: determining K nearest neighbor points of a current point according to the spatial distance from the point in a point cloud to the current point; determining a distance adjustment parameter when the weight of the nearest neighbor point is calculated; carrying out entropy coding according to the distance adjustment parameter; determining an attribute prediction value of the current point according to the distance adjustment parameter; and performing encoding processing according to the attribute prediction value of the current point. The decoding method comprises thefollowing steps: determining K nearest neighbor points of a current point according to the spatial distance from the point in the point cloud to the current point; carrying out entropy decoding according to the point cloud attribute code stream to determine a distance adjustment parameter when the weight of the nearest neighbor point is calculated; and determining an attribute prediction value ofthe current point according to the distance adjustment parameter. Therefore, the point cloud coding performance can be improved by selecting proper distance adjustment parameters.

The invention belongs to the technical field of unmanned aerial vehicle regulation and particularly relates to a no-fly zone unmanned aerial vehicle early-warning method. The method comprises the steps of firstly, acquiring a certain number of longitude and latitude coordinate points of an unmanned aerial vehicle flying in a current time period, through coordinate transformation, transforming the points to corresponding plane coordinate points in a rectangular plane coordinate system, then, using an improved least square method to conduct curve fitting on corresponding discrete plane coordinate points, fitting a flight path of the unmanned aerial vehicle in this period, finally, obtaining a tangent line of a current point of a fitting curve, and judging whether or not the unmanned aerial vehicle can enter a no-fly zone by judging whether or not the tangent line is intersected with an electronic fence for describing the no-fly zone. If yes, real-time distance between the current point and the no-fly zone is obtained and an alarm is given in time, and if not, prediction for the next moment is carried out. The no-fly zone unmanned aerial vehicle early-warning method has a wide application prospect in the field of civilian unmanned aerial vehicle regulation.

A posture angle processing apparatus that can obtain correct information for a posture angle comprises: a magnetic sensor, a gravitational acceleration sensor, a position information acquisition device, for obtaining the absolute location of a current point, and a dip angle database device wherein a correlation of the absolute location and a geomagnetic dip angle at the corresponding point is stored. Based on the absolute location of the current point, a dip angle estimation and determination device reads, from the dip angle database device, the geomagnetic dip angle at the current point, employs the magnetic vector detected by the magnetic sensor and the gravitational acceleration vector detected by the gravitational acceleration sensor to calculate an angle formed by a horizontal plane and the magnetic vector, compares the angle formed by the magnetic vector and the horizontal plane with the geomagnetic dip angle of the current point, and, when an error between the angle and the geomagnetic dip angle is within a predetermined range, outputs a true signal indicating that the magnetic vector detected by the magnetic sensor is reliable as a geomagnetic vector, or in other cases, outputs a false signal indicating that the current magnetic vector is not reliable.

The invention discloses an ortho-image generation method based on a three-dimensional laser point cloud. The ortho-image generation method comprises the steps of obtaining a target three-dimensional point cloud; preprocessing the target three-dimensional point cloud to generate a point cloud to be projected; segmenting the to-be-projected point cloud, and reserving a to-be-projected target; defining a projection plane and a projection density parameter; with the projection plane as a reference, calculating projection coordinates of the current point cloud scatter point to an orthographic planein sequence; calculating a projection boundary of the point cloud orthographic image; calculating image coordinates of each projection point according to the projection boundary; and generating an orthoimage according to the image coordinates. According to the method, a rapid structure chart or a corresponding orthographic projection image can be obtained, measurement is carried out on the basisof the projection image, and the point cloud measurement efficiency can be greatly improved. The engineering practice precision requirement can be met, and a certain guiding and reference effect is provided for ancient building protection.