182 results about "Change analysis" patented technology

The present invention allocates the supply of critical components and manufacturing capacity by optimizing critical material planning decisions and dynamically allocating constrained materials using advanced substitution logic that considers alternate suppliers and supports product life cycle from design through end-of-life. The present invention may utilize unique synchronized allocations and matched sets logic. The synchronized allocations ensure that all materials necessary for production are available in the appropriate time-phased allocation before beginning production to minimize wasted production capacity and materials. The supply system may include various combination of components, including a Supply Planner, a Resource Optimizer, a Constraint Based Master Planner, a Product Change Analyzer, a Comparer, a Resource Requirements Planner, a Finite Resource Planner, a Customer Promiser, and an Interactive Master Scheduler. Another embodiment of the supply system includes a tool that allows users to define products using engineering specifications.

A method and apparatus providing for "instant replays" and "quick skip" functionality in a media playback device. In the case of an instant replay, under user control, the media playback moves temporally backwards. In the case of quick skip, under user control, the media playback moves temporally forward. In one embodiment, the temporal movement is based on a predetermined time (e.g., move back 5 seconds, move forward 30 seconds). In another embodiment, the temporal movement is based on scene change analysis:

The invention discloses a video-analysis-based smoke detecting method, which is realized by taking a digital camera as a sensor and under support of a digital signal processing chip. The method is characterized by comprising the following steps: collecting digital video by utilizing the digital camera; screening out a foreground part containing a movement part; screening out an area with likeness by using a support-vector-machine detector; analyzing high-frequency signal change by applying wavelet transform, and screening out a digital image of which the background is in gradually fuzzy change; and screening out digital images with smoke texture characteristics by using an Adaboost cascade classifier pairs. By combining moving object extraction by background modeling, grey area screening by a support-vector-machine (SVM) classifier, high-frequency signal change analysis by wavelet transform, the smoke texture characteristic cascade classifier and other methods, the method greatly improves the accuracy and efficiency of smoke detection, reduces the false alarm rate and has high robustness and higher practicality.

An embodiment of the invention relates to a driving safety early-warning method which is used for analyzing driving behavior of a driven vehicle. The driving safety early-warning method comprises the steps of acquiring driving information of the driven vehicle, driving road identification information and driving environment information at the periphery of the driven vehicle; performing analysis according to the driving information of the driven vehicle, the driving road identification information and the driving environment information at the periphery of the driven vehicle, thereby obtaining the driving condition result of the driven vehicle and the driving environment condition result at the periphery of the driven vehicle, analyzing a lane changing driving behavior according to the driving condition result of the driven vehicle and/or the driving environment condition result at the periphery of the driven vehicle, and outputting the analyzed result. According to the driving safety early-warning method, the driving information of the driven vehicle, the driving road identification information and the driving environment information at the periphery of the driven vehicle are comprehensively considered in early warning in the lane changing process, so that a more accurate lane changing analysis result can be obtained, and early-warning information can be accurately transmitted according to the lane changing analysis result. The invention further provides a driving safety behavior analysis method, a driving safety behavior analysis device and a driving safety early-warning device.

The invention provides a method and a system for realizing interactive advertising and marketing of products based on a video scene changing analysis. The method for realizing the interactive advertising and marketing of the products comprises a step of detecting a time position of each scene change in the video; a step of finding target product information included in the scene in video images and voices during a time period of each scene; a step of building a video scene description database, and adding the target product information to the video scene description database; transmitting original video data and video scene data to terminal equipment via a server; after the terminal equipment receives and analyzes the video scene data and the original video data, waiting for a user input which indicates whether more advertising information and more purchase information of the target product are required to be provided. The invention further provides a system for realizing the method. According to the invention, the method and the system for realizing interactive advertising and marketing of products improve the economic performance of the product advertising in an interactive manner without impacting video display, realize the product purchasing according to the video scene and enhance user experience.

Different virtual labels, for example, like +1 and −1, are assigned to two data sets. A change analysis problem for the two data sets is reduced to a supervised learning problem by using the virtual labels. Specifically, a classifier such as logical regression, decision tree and SVM is prepared and is trained by use of a data set obtained by merging the two data sets assigned the virtual labels. A feature selection function of the resultant classifier is used to rank and output both every attribute contributing to classification and its contribution rate.

The invention relates to an antenna-feeder centralized monitoring device and a relative control method, in particular to a method for testing and monitoring an antenna-feeder system. The device comprises monitoring stations, a communication module, a wireless communication system, a communication network, a computer and a monitoring center, wherein the monitoring center centralized monitors the monitoring stations, which are communicated and controlled wirelessly with the monitoring center, thereby resolving the centralized management of the monitoring stations. The invention has the advantages that the monitoring center can centralized manage the monitoring stations and adopt control software to monitor the monitoring station group and automatically receive the alarm data from the base stations. The automatic antenna-feeder monitoring system can save labor strength of maintainers, having automatic monitoring, automatic alarm and automatic antenna-feeder change analysis functions and the like.

An improved method of fluid analysis in the borehole of a well. A fluid sampling tool is fitted with a pumpout module that can be used to draw fluids from the formation, circulate them through the instrument, and then expel this fluid to the borehole. It has been determined that certain measurements would be most valuable to implement down hole, such as the formation fluid bubble point and dew point. Accurate bubble point and dew point measurements are made by forming bubbles or a liquid drop in a measured sample, and detecting same.

The invention discloses an automatic checking method for change influence degree of a model. The automatic checking method comprises the following steps: a), collecting and analyzing SQL (structured query language) sentences performed by a database, and recording correlation between tables in the database; b) generating a correlation base line of a system data model to obtain a constrained graph of a system physical model, generating a physical model digraph according to the system service flow, and constructing a data model-service functional diagraph; c) when the software system has model changes, inputting the corresponding change information, and distinguishing the change influence range and the service functions according to the digraph and the functional digraph. According to the automatic checking method for change influence degree of the model disclosed by the invention, the SQL information of the database is collected, the model digraph is generated, the software change influence degree is analyzed from the software system physical model, the change influence range and the service function pots of the model are intelligently judged, and the risk and design defects are distinguished in advance, so that the intuition, the sufficiency and the efficiency of the change influence degree analysis are improved.

The invention discloses a computing method of traction network voltage in consideration of motor train unit bow net repeated off-line arc burning. The method comprises the steps of firstly building a traction network distribution parameter equivalence model containing n Pi-shaped equivalent models in series, introducing a mathematical model of a bow net off-line electric arc into the traction network distribution parameter equivalence model to build an electric arc model, and building a traction network loop state space model in consideration of nonlinear dynamic arc burning based on a state space theory; then utilizing a numerical analysis method to conduct dispersing processing on the traction network loop state space model; finally studying traction network voltage fluctuations on the condition of bow net repeated arc burning and arc blowout. According to the computing method of traction network voltage in consideration of motor train unit bow net repeated off-line arc burning, an adopted state space analytical method not only can solve traction network voltage change research on the condition of repeated arc burning, but also can be used for analysis of arc burning of passing neutral section appearance, and the computing method can be applied and popularized voltage and currency change analysis when other electric arcs occur of an electrical power system and research of other nonlinear or time varying models.

The invention provides a method for monitoring the dynamic change of the urban heat island intensity. According to the method, a processing and analysis technology of a thermal infrared remote sensingimage and a high-resolution remote sensing image is utilized, a qualitative or quantitative relation among the change of the heat island intensity of a target area, the land coverage change and the landscape indexes is obtained through multi-data image processing and change analysis, so that the understanding on the aspects such as the change of the heat island intensity pattern caused by land utilization transformation in the processes of urban construction, transformation and renovation can be conveniently studied, and a reference is provided for implementation of the policy.

The invention discloses a failure correlativity dynamic change analysis method of a numerically-controlled machine tool, aiming to overcome the problem that the degree of correlation among a plurality of systems with an intricate correlativity in a failure chain of mutual interference failure (I.F) cannot be determined by the prior art. The failure correlativity dynamic change analysis method comprises the steps: 1, processing failure data by using an FMECA (Failure Mode Effects and Criticality Analysis) analysis technology, dividing failure parts of all subsystems of the machine tool, settling data of correlation failures among all subsystems; 2, analyzing correlation data, summarizing interaction forms among the relevant subsystems, and defining types and elements of failure chains; 3, specific to different correlation failure chains, solving a comprehensive failure rate of correlation failure subsystems by using a dependency relationship of independent failure rates, correlation failure rates and comprehensive failure rates, respectively establishing a correlation coefficient computing model of all failure chains, and forming a correlation coefficient model system of correlation failures; 4, considering the analysis of a maintenance policy of correlation failures.

The invention discloses a low-grade road automatic extraction and change analysis method. According to the method, automatic extraction and change analysis of a road network can be realized, geometric, texture and spectral characteristics of road materials are subjected to sample selection through a high-resolution remote sensing image, a data set is generated to train a model, and the generated model is utilized to automatically extract a road.Road extraction is performed based on the data model to realize automatic registration of the image extraction result and the network data. Threshold values, confidence intervals and other modes are set for contrastive change analysis, and fusion is carried out to reduce generation work of a data set. According to the method, the generation work ofthe training data set can be greatly reduced, the image-based road extraction result is fused with the network road data, the accuracy of the fusion result road data is high, the new data set can be automatically generated according to the fusion result, and the generation work of the training data set is greatly reduced.

The invention discloses an SOE (sequence of event) parameter change analysis method and device; the method comprises: predetermining SOE parameters of a specified device as main variables, and a sub-variable associated with each main variable; acquiring, in real time, state of each main variable and that of the corresponding sub-variable, and upon the determination that any main variable changes based on the current-moment state of the main variable, determining the main variable as an action main variable; based on association of the action main variable and each corresponding sub-variable, judging whether the current-moment state of the sub-variable matches with the current-moment state of the action main variable or not; if yes, determining that action of the action main variable is correct; if not, determining that the action of the action main variable is faulty. Therefore, whether the action of the action main variable is correct or not is determined based on each sub-variable associated with the action main variable, and it is avoided that action error of a main variable caused by its value measurement error leads to corresponding control operation error.

The invention provides a wetland biodiversity protection effect area contrast assessment method based on reference bases in order to solve practical problems of lack of the area comparability of conventional wetland biodiversity protection function assessment and difficult application of assessment results. The contrast assessment method includes: firstly, obtaining habitat quality indexes of eachgrid unit in multiple periods in two research areas; secondly, calculating multi-period habitat quality indexes of national natural reserves in the same research areas, and selecting the maximum values in time sequence data thereof as the reference bases; thirdly, subtracting the reference bases of the research areas respectively by the habitat quality indexes of the grid units of each period; and fourthly, obtaining a contrast assessment result through a time sequence change analysis of a relative quantity of the habitat quality indexes of the two research areas and a relative quantity development trend contrast analysis. According to the method, the protection effect area contrast assessment method is constructed through the contrast mode between the areas of the relative quality of thebiodiversity protection function so that a powerful tool is provided for wetland biodiversity protection management.

A system and method for detecting a sun-shade line on a vehicle driver's face so as to automatically position a sun blocker at the appropriate location to block the sun. The method includes providing a detected image of the vehicle driver using, for example, a camera. A saturation analysis is performed on the detected image to generate a saturation image that includes bright dots and dark dots as a binary image. The method then performs a region enhancement of the saturation image to filter the saturation image. A histogram analysis is performed on the filtered saturation image to generate a graph that identifies a count of the bright dots in the image on a row-by-row basis. The method then performs a sharp change analysis on the graph to identify the largest transition from a row with the most dark dots to a row with the most bright dots to identify the sun-shade line.

The invention relates to a medical examination report health management method and system. The method comprises: obtaining the sample blood pressure value and the medical examination report of a user,obtaining a blood pressure parameter and meaning, performing sample threshold evaluation and function change analysis to obtain a function change result of the blood pressure value; determining whether the user is subjected to structural change analysis for the first time; if so, responding to the medical examination report; if not, determining whether a sample size reaches a threshold, and comparing a plurality of medical examination reports with a group medical examination report, and feeding back the medical examination report changes; performing fitness evaluation according to the blood pressure value and the medical examination report changes to obtain medical examination prediction information, blood pressure report evaluation and fitness information; and combining the medical examination prediction information with blood pressure report evaluation to form structural and functional fitness analysis, to generate a health management plan report and to perform warning, feedback andverification. The method or system evaluates the state of health of a user based on the medical examination report and in conjunction with the existing index of the user.

The embodiment of the invention relates to the field of intelligent community, and discloses a pet behavior reminding method and apparatus. The method comprises the following steps: obtaining a specific area video; obtaining a marking video frame according to a preset rule, wherein the preset rule comprises a preset target height and a preset target posture change analysis model; judging whether apreset object exists in the video after the marking video frame; if so, judging whether a pet exists; if so, judging whether an owner of the pet is present; if so, obtaining a target video frame; andobtaining the communication information of the owner of the pet according to the target video frame, and sending reminding to a communication terminal of the owner of the pet. By means of the manner,by adoption of the pet behavior reminding method and apparatus in the embodiment of the invention, the residents not handling the excrement of the pets can be identified so as to effectively monitorand supervise the residents raising pets.