262 results about "Change model" patented technology

In one embodiment, a process for managing information technology (IT) infrastructure of an enterprise includes: (1) capturing and storing IT infrastructure information regarding the IT infrastructure of the enterprise; (2) defining a plurality of roles within the enterprise, each role specifying a particular job function within the enterprise; (3) associating items of IT infrastructure with roles within the enterprise such that each role is associated with one or more predetermined items of IT infrastructure; (4) assigning roles to one or more employees of the enterprise such that each of the one or more employees is associated with one or more roles and is assigned the one or more predetermined items of IT infrastructure associated with each of these one or more roles; (5) automatically modeling a change in the IT infrastructure for one or more impacted employees; and (6) automatically initiating deployment of one or more IT infrastructure assets for the one or more impacted employees by organizing delivery of the one or more IT infrastructure assets to the one or more impacted employees to implement the change modeled.

Methods and arrangements for controlling audio levels according to user selectable features are disclosed. The system can receive a user selection for an alternate mode for audio device. A monitor can monitor audio levels in a physical area and the system can automatically switch an audio device from a current mode to the alternate mode when the monitored audio level exceeds a predetermined threshold. The alternate mode can provide a higher audio level or volume than the current mode. The alternate mode can also be a closed caption mode, a record mode, and a transcript mode to name a few. Thus, when the ambient sound level reaches a predetermined level many audio devices can change modes based on user configured instructions.

The present invention belongs to the data processing technology field, and discloses an urban bus dynamic scheduling optimization method and system. The method comprises: on the basis of obtaining information such as degree of congestion of a bus, a road congestion condition, bus real-time location and the like, establishing a three-layer scheduling decision model comprising a time frame bus-times model, a departing time decision model and a path changing model; realizing information interaction of people, vehicles and roads through an internet technology; determining optimal time frame bus times through the time frame bus-times model from the beginning of balancing bus operating cost, passenger waiting time and riding comfort; taking the maximum total meeting times and the minimum total meeting stations of an area as a target regulation departing moment through the departing time decision model so as to effectively reduce the probability of transferring and waiting; and employing the idea of being far away from a jamming road by employing the path changing model to effectively improve the running speed and reduce the following station passenger waiting time, and arranging response stations to allow passengers having missed the stations to get off.

Methods, apparatus, and computer-readable storage media for dynamic color flow modeling. A dynamic color flow model that incorporates motion estimation in a probabilistic fashion is described. By automatically and adaptively changing model parameters based on the inferred local motion uncertainty, the dynamic color flow model accurately and reliably models the object appearance, and improves the foreground color probability estimation when compared to conventional methods. The dynamic color flow model may, for example, be applied to both foreground and background layers (or to additional layers) for video object segmentation, obtaining significantly improved results when compared to conventional methods.

A computer implemented method for automatically generating domain specific applications based on model driven changes of the source code base for existing applications. Abstracted declarative design change-models, separate from detailed implementation source coding, are used to define the possible set of changes for specific application domains. Generalized implementations of the design changes, mapped to the defined Change-Model abstracted representations but separate from the representations themselves, are implemented via Application-Templates consisting of existing source code plus mark-up. The application domain is thus defined by the change-model linked to allied application-templates. Meta generation facilities are implicitly provided as the code generator for a specific application domain is defined by the Change-Model plus related set of Application-Templates. Additionally, the generator GUI is automatically modified or generated from the Change-Model with optional GUI model extensions definitions to tailor the generator GUI for each specific application domain.

The invention discloses a method for calculating a tight reservoir fracturing transformation volume area. The method comprises the following steps that multiple hydraulic fracture non-planar turning extension models, a formation stress field change model, a reservoir pressure file change model and a natural fracture failure criterion in the tight reservoir horizontal well fracturing process are established, geological parameters, horizontal well fracturing construction parameters and the total fracturing time are obtained, an initial fracture filter loss value, an initial fracture half-length value, an initial in-fracture pressure value, an initial fracture extension turning angle, initial permeability and an initial fracturing time value are endowed, all the models are calculated, and natural fracture failure point coordinate data is calculated; a spatial and numerical integration method is utilized to calculate tension failure transformation area volume and shear failure transformation area volume in a reservoir respectively, and the spaces of the two parts are united and regarded as a total transformation volume area. By adopting the method, accurate, economic and rapid tight reservoir horizontal well fracturing evaluation can be achieved, and the problem that effort, money and time are wasted in the existing tight reservoir horizontal well fracturing transformation volume area calculating process is solved.

Disclosed are a demand forecasting method, a demand forecasting program, and a demand forecasting system that can adequately forecast a demand for a commodity. A management computer calculates a trend function with respect to demand values. The management computer then calculates the ratio of the demand values to a trend curve, and calculates a logarithm of the ratio. Then, the management computer approximates the calculated natural logarithm curve with a periodic model, and converts the logarithmic scale of the acquired periodic model to a normal scale. Demand forecasting is performed using a demand forecasting model acquired by combining a periodic change model of the normal scale with a trend curve (trend function).

The invention belongs to the technical field of wireless communication, and particularly relates to a dynamic heterogeneous network flow prediction method based on a deep space-time neural network. Aiming at the problems of small coverage area, low prediction precision, short prediction time and the like of the existing mobile data traffic prediction method, the dynamic heterogeneous network traffic prediction method based on the deep space-time neural network is studied. Considering the characteristics of user mobility, flow data space-time correlation and the like, deeply researching a wide-coverage long-term mobile data flow prediction mathematical model description method in the dynamic heterogeneous network; On the basis, a space-time related convolutional long-short time memory network model is studied to predict the long-term trend of the mobile traffic in the dynamic heterogeneous network; A space-time related three-dimensional convolutional neural network model is studied to capture micro-fluctuation of a mobile flow sequence in the dynamic heterogeneous network; And fusing the long-term trend prediction model and the short-term change model of the mobile traffic, therebyrealizing wide-coverage and high-precision long-term mobile traffic prediction in the dynamic heterogeneous network.

The invention discloses a method for establishing an automatic driving lane changing decision model in a hybrid driving environment, a multi-step dynamic game lane changing model of an automatic driving vehicle LV and a human driving vehicle RV in the hybrid driving environment are established, and a set of nested game algorithm for the automatic driving vehicle is designed. The method comprises the following steps: firstly, establishing a multi-step dynamic game framework; enabling the vehicles of the two parties to decide the following action according to the strategy selection of the otherparty; defining potential conflict points of the lane changing vehicles and the rear vehicles of the target lane; formulating starting and ending condition criteria of the game according to the initial information of the vehicle, the strategy and the game step number; and then enabling the two vehicles to use respective strategy and acceleration selection methods to carry out dynamic gaming untilthe lane changing termination condition is met, so that under the condition that the automatic driving vehicle does not meet the condition of direct lane changing, the lane changing space can also bemanufactured through the game playing with the human driving vehicle, and safe lane changing is achieved.

The invention discloses a stress sensitive reservoir stratum relative permeability calculation method based on a fractal theory. The stress sensitive reservoir stratum relative permeability calculation method comprises the following steps: firstly, establishing a reservoir stratum permeability dynamic change model with stress sensitivity by using experimental data; and secondly, substituting the reservoir stratum permeability dynamic change model into a fractal theory model and inducing a relative permeability curve considering the reservoir stratum stress sensitivity. The stress sensitive reservoir stratum relative permeability calculation method can be used for a loose sandstone oil and gas reservoir with a smaller burying depth and difficulty in coring, and also can be widely applied to an oil and gas reservoir stratum with the stress sensitivity; and a relative permeability experiment is replaced and the coring and experimental expenditures are reduced.

The present invention relates to an apparatus and method for inducing emotions. A primary object of the present invention is to accurately induce an emotion desired by a user by feedbacking biosignals from the user and inducing a desired emotion in accordance with the fedback biosignals. The object of the invention can be achieved by allowing the user to select the desired emotion, outputting physical signals for stimulating the user's body based on an emotion induction protocol capable of inducing the selected emotion, extracting bioparameters from the biosignals detected from the user's body before and after the output of the physical signals for stimulating the user's body, comparing increase/decrease patterns of the extracted respective bioparameters with increase/decrease patterns of bioparameter change models for the emotional state desired by the user, and controlling the emotion induction protocol based on comparative results.

Graph-based modeling apparatus and techniques are disclosed. Based on a model including model nodes that represent components of a modeled system, operational dependencies between model nodes, and model edges that interconnect the nodes and represent relationships between the components in the modeled system, subset computations are performed to compute subsets of the model nodes that can impact operational dependencies between other model nodes. When the model changes, a determination is made as to whether an incremental subset computation should be performed for one or more particular operational dependencies between model nodes in the changed model, and if so, an incremental subset computation is performed. Otherwise, a full subset computation or no subset computation might be performed. In this manner, model changes are considered on a case-by-case basis to determine an extent, if any, to which subsets should be re-computed.

An integrated circuit design optimization procedure to modify a cell feature, such as gate length, models changes in delay as a result of the modification. In the delay change calculation, a characteristic of an event in cell switching behavior, such as the output short-circuit voltage V_SC, is determined for the modified cell, where changes in the determined characteristic correlate with changes in delay of the cell due to the modification. Next, a value for delay of the modified cell is determined as a function of the determined characteristic of the event. The procedure can be applied after placement and routing. A timing-constrained, leakage power reduction is described using the delay change model.

The application discloses an intersection lane navigation method and device. The intersection lane navigation method comprises steps: obtaining intersection information of next intersection based on acurrent navigation path, wherein the intersection information comprises a target lane and a distance; recognizing a current lane of a vehicle and comparing the current lane and the target lane when the distance between the vehicle and the intersection or the intersection reaches a target distance S; emitting lane-changing demand prompt information if the current lane and the target lane are different; obtaining current road condition information; determining whether a security condition of lane changing is satisfied according to the obtained current road condition information based on a pre-trained lane-changing model; and emitting lane-changing security prompt information if the security condition of lane changing is satisfied. According to the intersection lane navigation method, the fact that a driver has the lane-changing demand can be prompted, the security of current lane changing of the driver can be prompted, more effective and targeted prompts can be made, regulation violation is reduced, and traffic accidents are reduced.

A perspective transformation is performed to a three-dimensional model and a model coordinate system indicating a reference attitude of the three-dimensional model to produce a projection image expressing a relationship between the model and the model coordinate system, and a work screen is started up. A coordinate of an origin in the projection image and rotation angles of an X-axis, a Y-axis, and a Z-axis are displayed in work areas on the screen to accept a manipulation to change the coordinate and the rotation angles. The display of the projection image is changed by a manipulation. When an OK button located is pressed, the coordinate and rotation angle are fixed, and the model coordinate system is changed based on the coordinate and rotation angle. A coordinate of each constituent point of the three-dimensional model is transformed into a coordinate of the post-change model coordinate system.

The invention discloses a method for determining a hydrocarbon accumulation threshold of hydrocarbon containing basin fragmentary rock. The method comprises the following steps: (1), establishing a change model about how sandstone and mudstone change with embedded depth in a research zone; (2), establishing a relation model of sandstone and mudstone permeability and porosity; (3), establishing a relation model of sandstone and mudstone hole radii, the porosity and the permeability, and calculating the hole radius values of sandstone and mudstone in different depth; (4), calculating a ratio of mudstone interface potential energy to sandstone interface potential energy, establishing a change model about how the ratio changes with the embedded depth, and determining a maximum boundary and a minimum boundary when the ratio of the mudstone interface potential energy to the sandstone interface potential energy is distributed along with the embedded depth; (5), calculating ratios of the mudstone interface potential energy to the sandstone interface potential energy about a hydrocarbon layer and a dry layer in the research zone, and subjecting the ratios of the mudstone interface potential energy to the sandstone interface potential energy about the hydrocarbon layer and the dry layer in the research zone to the change model established in step (4); (6), dividing a borderline about how the potential energy of the opposite interfaces of the hydrocarbon layer and the dry layer is distributed along with the embedded depth; and (7), sandstone porosity corresponding to an intersection point between the borderline and the maximum boundary of the ratio of the mudstone interface potential energy to the sandstone interface potential energy being reservoir layer critical porosity corresponding to the hydrocarbon accumulation threshold of the research zone.

The invention relates to a laser welding temperature field 3D measurement method, which comprises the following steps: subjecting grey level images of a melting zone and heat affected zone thereof on the upper and the lower surfaces during welding to temperature calibration of each zone by using the grey level images of a melting zone and a heat affected zone thereof; extracting the dividing contour line of the melting zone, the heat affected zone and a mother material zone; locating the positions of small holes on the upper and the lower surfaces in the welding zone to obtain the axial positions of the small holes inside a welding part, and reconstructing the 3D dividing contour surface of the melting zone, the heat affected zone and the mother material zone; and obtaining the temperature field distribution and the 3D distribution data of temperature fields of the melting zone and the heat affected zone at arbitrary thickness, and constructing a continuous dynamic change models of the temperature fields of the melting zone and the heat affected zone.

The invention provides a method for building seismic inversion low-frequency models. The method comprises the following steps: collecting seismic data subjected to amplitude preserved processing and corresponding logging data in a seismic work area; carrying out well-to-seismic calibration for the logging data according to the known apriori geologic horizon and well drilling horizon; carrying out interpolation for the logging data subjected to well-to-seismic calibration, and thus establishing an initial model with wave impedance; optimizing the initial model according to the seismic data, and thus obtaining optimized wave impedance; carrying out high-frequency filtering for the optimized wave impedance, and thus obtaining high-frequency inversion results; changing the initial model in a trend-driven manner, and thus obtaining a change model; obtaining a new model according to the change model and the high-frequency inversion results; optimizing the new model according to the seismic data, and thus obtaining the optimal wave impedance; determining the seismic inversion low-frequency model according to the optimal wave impedance and the high-frequency inversion results. The method solves the problem that the inversion results have difficulty in quantification due to absence of low frequency of the seismic data, and the inversion precision is greatly improved.

The invention discloses a method for estimating biomass of wetland plants through aerial photographic remote sensing of an unmanned aerial vehicle. The method comprises the following steps: with the unmanned aerial vehicle as a remote sensing photography platform, continuously shooting images of the to-be-estimated wetland by the unmanned aerial vehicle, performing field collection on to-be-estimated wetland plant biomass samples, calculating the biomass, and processing the images of the to-be-estimated wetland by a digital photogrammetry technology to acquire the high-resolution-ratio groundnormal incidence image of the to-be-estimated wetland; establishing a ground surface plant community height change model image and a visible light vegetation index model image of the to-be-estimated wetland; according to the plant biomass of the sampling point, the ground surface plant community height value and the visible light vegetation index value, establishing a regression model of the plantbiomass, the plant community height and the visible light vegetation index (VDVI), and estimating the biomass of the wetland plants by the regression model. By the method provided by the invention, the biomass of the large-area wetland plants can be estimated rapidly, the working efficiency and the quality are greatly improved, the accuracy is relatively high and the cost is relatively low.

An ultrasound diagnosis apparatus includes a scanner, an input unit, a change unit, a prediction unit, a processor, and a second processor. The scanner is configured to conduct an ultrasound segment scan by alternating a B-mode scan and a Doppler-mode scan. The input unit is configured to input an instruction. The change unit is configured to change a first period of the B-mode scan and a second period of the Doppler-mode scan in accordance with the instruction. The prediction unit is configured to predict a first Doppler signal with respect to the first period. The processor is configured to prepare an Doppler-mode image based on the first Doppler signal and a second Doppler signal resulting from the Doppler-mode scan. The second processor is configured to prepare a B-mode image based on a B-mode signal resulting from the B-mode scan.

In an embodiment, an integrated circuit includes multiple instances of a component (e.g. a processor) and a control circuit. The instances may be configured to operate in various modes. Some of the modes are incapable of presenting a worst-case load on the power supply. The control circuit may be configured to monitor the instances and detect the modes in which the instances are operating. Based on the monitoring, the control circuit may request to recover a portion of the voltage margin established for worst-case conditions in the instances. If the instances are to change modes, they may be configured to request mode change from the control circuit. If the mode change causes an increase in the current supply voltage magnitude (e.g. to restore some of the recovered voltage margin), the control circuit may cause the restore and permit it to complete prior to granting the mode change.

The invention relates to a tree form simulation method based on a self-adaptive fractal algorithm. The method comprises the following steps of obtaining a tree form image tImage; establishing a tree form model tModel; calculating the length of first-stage branch Ln; building an IFS (iterated function system) fractal matrix Wn; realizing the three-dimensional tree fractal. As the tree form feedback mechanism of IFS fractal is established, the tree form model covers the frequently used tree growth models including a tree height growth model, a crown diameter growth model, a crown height growth model and a crown length rate model in forestry industry, and meanwhile, a crown shape index change model is added. By adopting the models, the parameters of the IFS fractal matrix can be controlled, so the fractal growth is completely applicable to the model curve representing the actual tree growth. The following figure comparison refers to the tree height growth simulation and the crown diameter growth simulation before and after improved simulation by the IFS fractal method. The growth of each stage of branch, growth of crown length rate, change of crown shape indexes, and the like also have similar difference.

Provided is an image processing system including a multiband signal acquisition unit and a dye spectral property determining unit. The multiband signal acquisition unit acquires a multiband signal value of a subject specimen that has been stained with H&E dyes. The dye spectral property determining unit generates new spectral properties of the H dye and the E dye by varying standard spectral properties previously set to each of the H dye and the E dye according to a spectral property change model, and determines the spectral properties of the H dye and the E dye based on the generated new spectral properties and multiband signal values.