411 results about "Time effect" patented technology

Systems and methods are disclosed for routing callers to agents in a contact center, along with an intelligent routing system. Exemplary methods include routing a caller from a set of callers to an agent from a set of agents based on a performance based routing and/or pattern matching algorithm(s) utilizing caller data associated with the caller and the agent data associated with the agent. For performance based routing, the performance or grading of agents may be associated with time data, e.g., a grading or ranking of agents based on time. Further, for pattern matching algorithms, one or both of the caller data and agent data may include or be associated with time effect data. Examples of time effect data include probable performance or output variables as a function of time of day, day of week, time of month, or time of year. Time effect data may also include the duration of the agent's employment.

The invention discloses a real-time panoramic image stitching method of aerial videos shot by an unmanned plane. The method comprises the steps of: utilizing a video acquisition card to acquire images which are transmitted to a base station in real time by an unmanned plane through microwave channels, carrying out key frame selection on an image sequence, and carrying out image enhancement on key frames; in the image splicing process, firstly carrying out characteristic detection and interframe matching on image frames by adopting an SURF (speeded up robust features) detection method with good robustness; then reducing the series-multiplication accumulative errors of images in a frame-to-mosaic image transformation mode, determining images which are not adjacent in time sequence but adjacent in space on a flight path according to the GPS (global positioning system) position information of the unmanned plane, optimizing the frame-to-mosaic transformation relation, determining image overlapping areas, thereby realizing image fusion and the panoramic image construction and realizing real-time effect of carrying out flying and stitching simultaneously; and in image transformation, based on adjacent frame information in a vision field and adjacent frame information in airspace, optimizing image transformation to obtain the accurate panoramic images. The stitching method has good real-time performance, is fast and accurate and meets the requirements of application occasions in multiple fields.

A mechanism is presented for editing a video stream as the stream is received, allowing real-time displaying and storing of the edited video stream without requiring the received video stream to first be recorded. The mechanism allows the selection of editing options prior to starting or during the record process. The mechanism can monitor the input video stream for specific characteristics and edit the video stream according to predefined editing options based on those characteristics and/or user inputs. Special effects can be intelligently selected based upon internal and external information about the video stream, for example, user actions, input source, and content information.

The invention discloses a crowd density estimation method based on a cascaded multilevel convolution neural network. The method includes the steps that (1) the multilevel convolution neural network is adopted to extract characteristics from lower layers to high layers, and lower layer characteristics and high layer characteristics are combined to form multistage characteristics, so that separability of crowd density characteristics is enhanced; (2) according to similarity of a characteristic pattern in a downsampling layer of the multilevel convolution neural network, connections of redundant neurons in the convolution neural network are eliminated, and the characteristic extraction speed is increased; (3) two multilevel convolution neural networks of different structures are trained according to the difficulty level of the separability of crowd density samples, the two multilevel convolution neural networks are in cascade connection according to sequences from simpleness to complexity to form a crowd density estimation model of the cascaded multilevel convolution neural network, and crowd density level estimation is rapidly carried out on to-be-detected images obtained from a video terminal in real time. In the aspect of detection accuracy, a better real-time effect is achieved compared with previous schemes.

An apparatus and method for assessing myocardial wall stress is disclosed. The method may be used in conjunction with electro-stimulatory therapy for preventing or reversing ventricular remodeling. In such therapy, one or more stimulatory pulses are delivered to the heart such that a stressed region of the myocardium is pre-excited relative to other regions, thereby subjecting the stressed region to a lessened preload and afterload during systole. The unloading of the stressed myocardium over time effects reversal of undesirable ventricular remodeling.

Computer implemented methods for interactively modifying a video image are provided. The video image can be transmitted between a first user and a second user using a computer program that is executed on at least one computer in a computer network. Additionally, the first user and the second user interact through respective computing systems that at least partially execute the computer program. A video capture system is provided that is interfaced with the computer program that can be used to capture real-time video of the first user. The method continues by identifying components of the video image of the first user that can be modified using real-time effects in the captured real-time video. In another operation, the method identifies controller input from either the first user or the second user. The controller input detected by the computing system is identified to determine which of the identified components of the first user will be modified. In response to the identified controller input, another operation of the method augments the real-time video captured of the first user by applying the real-time effects to the identified components of the first user. The method then displays the augmented real-time video of the first user on a screen connected to the computing system of one or both of the first and second users.

An apparatus and method for reversing ventricular remodeling with electro-stimulatory therapy. A ventricle is paced by delivering one or more stimulatory pulses in a manner such that a stressed region of the myocardium is pre-excited relative to other regions in order to subject the stressed region to a lessened preload and afterload during systole. The unloading of the stressed myocardium over time effects reversal of undesirable ventricular remodeling.

The invention discloses a three-dimensional measuring machine of shoe die, which is characterized by the following: comprising surveying work assembling system, feeding control system, mechanical motor system and controlling PC machine; arranging the surveying work assembling system on the work bench of the mechanical motor system to fix the sample shoe; controlling the feeding direction of three axis movement and speed with the feeding control system; adjusting the measuring time-effect and accuracy; touching the sample shoe with the metering needle of needle measuring head on the mechanical control system; collecting coordinate on the surface of the sample shoe; sending a impulse signal to digital display meter at the time of touching the sample; receiving the impulse signal with digital display meter; recording; sending to the controlling PC machine; deacidizing a same three-dimensional die of the sample shoe with the inverting software on the controlling PC machine.

The invention relates to a generation method of video abstract fragments for digital video on demand; a plurality of lenses in different time periods are randomly intercepted according to a set rule based on a complete video and sequentially spliced into the long video fragments about the contents of the whole video; that is to say, based on the lenses, the same camera is used to continuously shoot a section of video contents in the video; the contents of each lens form a whole, so as to respectively select the plurality of the lenses in the video from different time points, and sequentially splice the lenses, realize the organic link of the video abstract fragment contents, embody the overall contents of the video, and prevent the disorder of the contents. A user can preview the basic contents and the picture quality of the video by appreciating the video abstract fragments, determine if the user is interested in the video, so as to decide if to play the video on demand. The generation method of the video abstract fragments for digital video on demand can improve the time effect and the economy for the user to appreciate the video, so that a video content provider can also improve the audience rating, so as to improve the economic benefit and the social benefit and achieve win-win.

The invention belongs to an experiment method of hydrocarbon reservoir protection in the exploration and development process of petroleum and gas, relating to a core pretreatment method for petroleum and gas reservoir fractured reservoir damage evaluation, in particular to a core pretreatment method for fractured reservoir damage evaluation. The method comprises six steps and provides a core pretreatment method for fractured reservoir damage evaluation, which can effectively weaken the time effect of a reservoir crack core, reduce influence on hydrocarbon reservoir damage evaluation by the time effect of the reservoir crack core, can accurately diagnose the hydrocarbon reservoir damage mechanism and preferably provide a basis for working solution optimization.

The present invention belongs to the technical field of the Internet of things and big data, and relates to a non-invasive online real-time electric load identification method and an identification system. The present invention solves the technical problems, for example, the existing designs are not so rational. The method comprises the following steps: A. acquisition of real-time electric power signals; B. non-invasive load identification and analysis; and C. result feedback. The system comprises at least one embedded device terminal which is connected to a distribution box on a resident side. The embedded device terminal is connected to the cloud; the cloud is collected to a background server; and the background server is connected to a data memory and is able to transmit a result of analysis to a terminal device corresponding to the distribution box on the resident side. The present invention has the following advantages: for a user on a resident side, the usage cost is low and training can be performed without a large amount of labeled samples; the method and system are very sensitive to a low-load electric appliance, and can solve the electric energy oscillation problem, and ensure the accuracy of load identification, so that an overall energy source solution may be provided for families. Moreover, the algorithm efficiency may achieve the online and real-time effects.

The invention discloses a Chinese Web document online clustering method based on common substrings. As known to all, search engines are important in application of information searching and positioning with sharp increase of information on the internet. Web document clustering can automatically classify return results of the search engines according to different themes so as to assist users to reduce query range and fast position needed information. The Web document online clustering is characterized in that non-numerical and non-structured characteristics of Web documents are required to be met on the one hand, and clustering time is required to meet online search requirements of users on the other hand. According to the two characteristics, the invention provides the Chinese Web document online clustering method based on common substrings, and the method comprises steps as follows: (1) firstly, preprocessing the first n query results returned by the search engines so as to realize deleting and replacing operation of non-Chinese characters in the return results of the search engines, (2) extracting common substrings in the Web documents by utilizing GSA, (3) presenting a weighting calculation formula referring to TF*IDF according to the common substrings which are extracted and then building a document characteristic vector model, (4) computing pairwise similarity of the Web documents on the basis of the model to acquire a similarity matrix, (5) adopting an improved hierarchical clustering algorithm to achieve clustering of the Web documents on the basis of the matrix, and (6) executing clustering description and label extraction. The Chinese Web document online clustering method based on common substrings has obvious advantages on performance, clustering label generation and clustering time effects.

This invention relates to a wear resisting material of CuZnAl shape memory alloy and its preparation method including: taking electrolytic copper, 0#Zn, 00#Al and electrolytic nickel as the raw materials and adding compound rare earth refining agent in terms of composition match and smelting them to cast them to ingots when the temperature of the alloy fluid reaches to 1230-1250deg.C to be heated to 800-820deg.C for 24h then cooled along with the furnace to remove the 2-3mm dezincifying layer on the surface and forged to a plate, then two-stage time effect heat process is done under 830-870deg.C+130-170deg.C+40-60deg.C, and the wear resisting material includes the components in terms of mass percentages: Zn 24.5-26%, Al 3.7-3.8%, Ni 0.9-1.0% and compound rare earth refining agent 0.06-0.09%, which includes the components in terms of mass percentages: La 45.5%, Ce 44.9%, Pr 7.7%, Nd 1.9% and copper.

The invention discloses a method for distributing a virtual ID and a virtual IP based on a home gateway of internet of things. In the method, the virtual ID address and the virtual IP address are uniformly distributed to access equipment through interaction of a wireless fidelity (Wi-Fi) management module, a radio frequency identification device (RFID) management module, a Zigbee management module, a data module and a comprehensive management module; and the comprehensive management module comprises an information database sub-module, a virtual ID generating sub-module and a virtual IP generating sub-module. An external network terminal can address an access node of a home network in real time and establish an equipment information binding table in which the virtual ID address and the virtual IP address of the access equipment are stored, so that the consistency on multiple kinds of access technological equipment and a top network in the home network is realized and heterogeneous networks in the home can be combined into a virtual network; the transparency of the access equipment to the external network is realized and the safety of the home network and easy management are guaranteed; and the real-time effect of addressing of the access node is realized.

A duplex heat treating process for workpiece includes such steps as heating to austenite state, penetrating C or C and N to obtain a prepenetrated layer, lowering temp to 620-720 deg.c, penetrating N or N and C, direct quenching, and having time effect at 200-300 deg.c or isothermal quenching at 200-300 deg.c. Its advantages are high hardness (greater than 900 HV) and lower deformation.

The invention provides a 3D face grid reconstruction method based on a video image. The method mainly includes: inputting a 2D face image in video; building a linear shape model; estimating a face mark point through cascade regression; matching through a 3D model; performing 3D reconstruction on a face. The linear model is built, position and clarity of the mark point are estimated, and face shape is reconstructed by matching a local 3D model; 3D cascade regression is adopted, so that marks in faces in action change are maintained uniform; by selecting a compact 3D point set, the face is completely marked, so that position change of the marks is avoided, and the problems of nonuniformity and self-closing of action change locating points are solved. In addition, 3D marks are adopted for 2D projection, so that calculation expense is reduced greatly. A 3D grid does not contain a background, so that the method is high in universality and good in real-time effect.

The invention discloses a three-dimensional face reconstruction method based on gray scale and depth information. The three-dimensional face reconstruction method includes the steps of identifying face gray scale information, identifying face depth information, conducting multimodal face identification, matching by a 3D model and conducting face 3D reconstruction. Feature areas of face data are located, and registering and feature extraction are carried out through feature points. Adaboost algorithm is used to select the most effective feature for classification. A nearest neighbor classifier is used to calculate matching scores to achieve multimodal face identification. Finally, face reconstruction is completed by matching the local 3D model, the. The performance and efficiency of a face recognition system are improved through a fusion strategy. 3D cascade regression is used, dense 3D point set is selected, and a face is completely marked to avoid the logo position change. The problems of inconsistency of action change position points and self-closure are solved, and the calculation cost is reduced. The method is highly universal, and the real-time effect is good.

The invention discloses a smartphone-based real-time falling detection system and method. The smartphone-based real-time falling detection method comprises steps of collecting the human body three-dimensional accelerated speed ax, ay and az output from an acceleration sensor and collecting the human body three-dimensional angular speed wx, wy and wz output from a gyroscope; starting a timer with the time preset to be at t0 when the resultant acceleration A which is corresponding to the t moment is larger than the preset resultant acceleration threshold value AT and the resultant angular speed w which is corresponding to the t moment is larger than the preset resultant angular speed threshold value WT and computing the similarity S according to a resultant angular speed discrete data point set C and a fitting discrete data point set N obtained through fitting within the time period from t-t0 to t +t0 when the resultant acceleration A which is corresponding to sampling in every time within the time period t to t + t0 is less than the resultant speed threshold value AT; when the similarity S is larger than the preset similarity threshold value ST, a person with a smartphone is judged to fall down and the police is called according to the set alarm mode. The smartphone-based real time falling detection method has the advantages of being low in achievement cost, high in detection accuracy, good in real-time effect and good in application prospect.

The invention provides a method for route convergence and routing device. The described method includes: receive the route information of multiple adjacent routing devices, select the route from the received route message, and save the route selection results into the first route information library; identify that all route messages of multiple adjacent routing devices are received and the route selection is completed; update the second route information library according to the information of the first route information library and the second route information library is sued to guide the forwarding of the data packets. The implementation of the invention reduces the convergence time of the route and improves the convergence speed of the route. Especially when the route volume is higher, it will spend much time in selecting the route, so the implementation of the invention will reduce the convergence time effect of this route more effectively.

The invention discloses a real-time gesture recognition method based on finger division and relates to a novel gesture recognition technology. The gesture recognition technology is one of hot topics in the human-computer interaction field. The real-time gesture recognition method based on finger division comprises the steps of extracting the whole hand region through a background subtraction method, and dividing a palm part and a finger part on the extracted hand region; judging finger types according to positions, angles and other information of fingers; performing gesture recognition on the whole gesture through a rule classifier. Related gesture recognition tests performed through a large number of experimental images prove that the real-time gesture recognition method based on finger division is high in speed and efficiency, and real-time effect can be achieved.

The invention relates the method for preparing rich silver antibiotic film used for medical pyrolytic carbon and TiN film. It solves the antibiosis question. The method comprises the following steps: on the pyrolytic carbon: a buffing and cleaning; b evacuating; c sputtering and cleaning for 5 minutes with 1keV nitrogen ion; d injecting silver ion: 70, 30keV energy, 2-8mA beam current, 2X1014/cm2-3X1014/cm2 dosage, and forming rich silver antibiotic film and antibiosis ratio being 100%; on TiN film: a buffing and cleaning; b evacuating; c sputtering and cleaning for 5 minutes with 1keV nitrogen ion; d sputtering Ti target with 3keV, 80mA Ar+ ion, 20-40keV, beam current: bombarding with 2-8mA high-energy N+ ion for 10-20 minutes; 50-350eV, beam current: bombarding with 10-30mA low-energy N+ ion for 60-180 minutes to deposit, N2 air pressure being 8X10 3Pa; e injecting silver ion: 30-80keV, beam current: 2-8mA, 1X1017/cm2-5X1018/cm2 dosage, forming rich silver antibiotic film and antibiosis ratio being 90%. The film has the advantages of good abradability, strong adhesive force and anti-corrosion, good cell compatibility and long antibiosis time-effect. The film can be used to prepare artificial heart valve and hard tissue alternate material which is implanted in human.

The invention discloses a workpiece detecting and sorting device and method based on a visual robot. The device comprises a transmission device, a robot and a computer. The transmission device collects a workpiece image, analysis is carried out through a computer, and the robot grabs a damaged workpiece. Compared with the prior art, the workpiece detecting and sorting device and method based on the visual robot is characterized in that Haar-like features are adopted to establish a weak classifier based on gray level changes, an AdaBoost algorithm is used for forming a strong classifier with high accuracy, cascading of the strong classifier is then carried out, a region of interest (ROI) containing a target object is extracted in the image, and the better detection accuracy and the real-time effect are obtained; a defect image is obtained in the target object, and a level set method is used for obtaining a defect ROI to form a training sample; and a convolutional neural network (CNN) isintroduced as a training model, and the accuracy of defect classification is improved.