405 results about "Spatial model" patented technology

The invention discloses a rock slope three-dimensional model and a block slide analysis method, and belongs to the entity structure space modeling and analysis field of rock engineering such as rock and earth engineering, mine exploitation, road engineering, water conservancy engineering and the like. The method comprises the following steps of: 1, acquiring engineering rock field structure initial data; 2, processing and extracting the engineering rock initial data; 3, constructing an engineering rock model; 4, identifying blocks and analyzing the stability; and 5, displaying the result. The method has the advantages that: the method realizes space modeling of the engineering rock slope and identification of key blocks, quickly identifies new structure surfaces in the engineering construction process, and can automatically search the key blocks, count the number and geometric information of the movable blocks and preliminarily calculate and analyze the mobility of the key blocks.

A contactless system and method for estimating the volume, mass or weight of a target animal is provided. First, the target animal is imaged, preferably with a stereoscopic camera. A spatial representation of the target animal is derived from the stereoscopic images. Next, a virtual three-dimensional spatial model is provided, preferably having a shape resembling that of a characteristic of the animal to which the target animal belongs. A software module is provided to reshape the virtual spatial model, using a finite set of independently configurable shape variables, to approximately fit the spatial representation of the individual animal. Finally, the volume, mass or weight of the target animal is estimated as a function of shape variables characterizing the reshaped virtual model.

A probabilistic digital signal processor using data from multiple instruments is described. In one example, an analyzer is configured to: receive discrete first and second input data, related to a first and second sub-system of the system, from a first and second instrument, respectively. A system processor is used to fuse the first and second input data into fused data. The system processor optionally includes: (1) a probabilistic processor configured to convert the fused data into at least two probability distribution functions and (2) a dynamic state-space model, the dynamic state-space model including at least one probabilistic model configured to operate on the at least two probability distribution functions. The system processor iteratively circulates the at least two probability distribution functions in the dynamic state-space model in synchronization with receipt of updated input data, processes the probability distribution functions, and generates an output related to the state of the system.

Monitoring and reporting of the temperature and/or other conditions of perishable and/or temperature sensitive products during transportation and storage is described. A system for wireless temperature monitoring can be carried out at a box level, but can provide information at a finer granularity than box-level. For temperature monitoring, the box (or other container) can be configured with a plurality of temperature sensors provided in an arrangement about the box and connected to a transmitter for communicating the temperature at each location to a monitoring system with a processor and database. A temperature profile and spatial model can be constructed by the processor and stored at the database to generate profiles for defined volumes within the container.

Disclosed is a rolling bearing remaining life prediction method based on feature fusion and particle filtering. According to an index calculation process, firstly, original features are extracted from bearing vibration signals, the extracted original features are clustered by the adoption of a relevance clustering method, then, one typical feature is selected from each cluster to form optimal feature sets, and finally the feature sets are fused by the adoption of a weight fusion method into a final recession index. According to a life prediction process, firstly, smoothing and resampling are carried out on the recession index, the time interval is adjusted to be an expected value, state-space model initial parameters are calculated by the adoption of least square fitting, then, model parameters are updated in real time according to new observation data, and finally the remaining life of a bearing can be predicted. According to the rolling bearing remaining life prediction method based on feature fusion and particle filtering, the difference between the life prediction result and a true value is small, and the application effect is good.

A computer-implemented method is provided for generating and transforming graphics related to an object. The method includes obtaining one or more images taken from different points of view of the object, and a surface of the object is placed with a plurality of external markers such that control points for image processing are marked by the external markers. The method also includes building a spatial model from the one or more images based on the external markers, and processing the images to restore original color of parts of the one or more images covered by the external markers. Further, the method includes integrating texture from the restored images with the spatial model to build an integrated graphic model, and saving the integrated graphic model in a database.

The invention relates to a comprehensive control method for the outlet temperatures of a heating furnace, belonging to the field of furnace temperature control technology. The invention is characterized in that branch balance control makes the outlets temperatures of a multi-branch heating furnace uniform, and automatic load lifting and dropping can be realized. By using state feedback prediction control of measured states and feedforward control, the method effectively improves the anti-interference ability. A state space model of the heating furnace is obtained by mechanism modeling, in no need of testing devices. An on-line model is self-adaptive, which effectively overcomes process characteristic change and improves the rate of putting into operation. Low-value fuel can realize idea valve location interval control, thus saving high-value fuel. The comprehensive control of the outlet temperatures ensures the uniform and stable outlet temperatures of the heating furnace, which is easy to operate and economical.

A method is present for generating a route for a vehicle. A start point and an end point are identified for the vehicle. A spatial model of terrain encompassing the start point and the end point is identified to form an identified spatial model. The route for the vehicle is generated from the start point to the end point using the spatial model based on a cost to traverse a grid point within a grid to meet a number of criteria for energy management for the vehicle.

The intelligent panorama creating process based on two fish-eye images includes pre-treatment of fish-eye images, creating spatial model, optimizing the matching parameters and creating panorama. Owing to the theoretically perfect spatial model, model free dimension number for the matching parameter optimizing process reduced from 8 to 4 and the exhaustive search algorithm capable of avoiding trapping in local minimum, the present invention can find fast the optimal matching parameters, and has the advantages of fast matching speed, high matching precision and high image quality. Furthermore,the present invention has automatic pre-treatment of fish-eye images and automatic matching process, so that it may be usd in automatic matching treatment of great amount of fish-eye images.

A probabilistic digital signal processor for medical function is described. Initial probability distribution functions are input to a dynamic state-space model, which operates on state and/or model probability distribution functions to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data with the prior to generate a posterior probability distribution function passed to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled in an iterative algorithm. For example, the probabilistic processor operates using a physical model on data from a medical meter, where the medical meter uses a first physical parameter, such as blood oxygen saturation levels from a pulse oximeter, to generate a second physical parameter not output by the medical meter, such as a heart stroke volume, a cardiac output flow rate, and/or a blood pressure.

The invention provides a method for optimizing a design of a vertical seismic profile observation system for seismic exploration, which comprises the following steps: establishing a seismic geological model by known data; distributing more than two different observation systems; forwarding a response of a seismic wave field; calculating a position of a reflective spot, incident and reflection angles and length or ray impact frequency, and counting characteristic parameters again to construct an analysis map; and determining the optimal scheme for actual exploration according to a geological target. The method adopts multi-parameter analysis based on a spacial model, has strong rationality of results, adapts to details, can improve data acquisition quality, is suitable for homogeneous spaces and one-dimensional, two-dimensional or three-dimensional models, can be used for non-zero spacing, Walkaway and 3D-3C VSP exploration designs, and also can be used for analyzing VSP exploration designs of longitudinal waves, transverse waves and converted waves.

Systems and methods of reconstructing photoacoustic imaging data corresponding to a brain of a subject through a skull of a subject utilizing a reconstruction method that incorporates a spatial model of one or more acoustic properties of the brain and skull of the subject derived from an adjunct imaging dataset.

Systems and methods are disclosed for performing three-dimensional (3D) gesture based interaction with a user interface rendered from a 3D object model based upon the viewpoint of a user. Gesture based interactive systems in accordance with many embodiments of the invention utilize a spatial model of how user interface objects, such as icons and a cursor, spatially relate to one another. The user interface model can be constructed as a 3D object model. With a 3D object model, the operating system can use depth information to render a user interface display appropriate to the requirements of a specific display technology. In many embodiments, head tracking is used to determine a viewpoint from which to render a user interface display from a 3D object model maintained by the operating system and the user interface can be updated in response to the detection of 3D gestures.

A geospatial modeling system may include a geospatial model database and a processor. More particularly, the processor may cooperate with the geospatial model database for inpainting data into at least one void in geospatial model frequency domain data based upon propagating contour data from outside the at least one void into the at least one void, and for converting the geospatial model frequency domain data after inpainting into geospatial model spatial domain data.

A contactless system and method for estimating the mass or weight of a target object is provided. The target object is imaged and a spatial representation of the target animal is derived from the images. A virtual spatial model is provided of a characteristic object of a class of object to which the target object belongs. The virtual spatial model is reshape to optimally fit the spatial representation of the individual animal. Finally, the mass or weight of the target object is estimated as a function of shape variables characterizing the reshaped virtual object.

The invention discloses a nonlinear system state estimation method based on Kalman filtering positioning, and proposes a strongly adaptive Kalman filtering mechanism which combines a nonlinear filtering algorithm and Kalman filtering. The method comprises the steps: carrying out the simultaneous estimation of node positions and channel parameters through employing an RSSI state estimation algorithm based on square root volume Kalman filtering, and obtaining the estimation value of a state vector; employing the Kalman filtering for further processing according to the linear change of a state equation, obtaining optimal estimation, and building a strongly adaptive square root volume Kalman filtering algorithm; giving the design steps of the strongly adaptive square root volume Kalman filtering algorithm; and calculating a theoretical square root error lower bound under a state space model based on the RSSI state estimation. The method enables an estimation result to be improved, and improves the precision. The method does not need to excessively depend on improper initial conditions, can be well adapted to a highly nonlinear system, and is not liable to enable the algorithm to be divergent and ineffective.

A geospatial modeling system may include a geospatial model data storage device containing geospatial model data including a plurality of groups of tree crown vegetation points and a display. The system may further include a processor cooperating with the geospatial model data storage device and the display for displaying a simulated tree trunk beneath a group of tree crown vegetation points, and displaying at least one level of simulated tree branches for the simulated tree trunk. Each tree branch may be positioned based upon determining a branch distal reference point beneath a cluster of tree crown vegetation points from among the group of tree crown vegetation points.

The invention discloses a pure idea nerve muscle electrical stimulation control and nerve function evaluation system which comprises a signal collecting module, a signal processing module and an instruction control module. The signal collecting module is used for collecting input electroencephalogram signals and other physiological signals in real time; the signal processing module is used for reading the electroencephalogram signals, carrying out feature extracting through a cospace model algorithm, and carrying out mode recognition on feature data through a support vector machine to obtain a decision value; according to the decision value and the decision value threshold vale range, an idea imagination mode is judged and transmitted to the instruction control module; the instruction control module is used for converting the idea imagination mode into a trigger nerve muscle electrical stimulator switch so that nerve muscle electrical stimulation can be carried out on the limb part of a user. The system has the advantages of high stability and adaptation, and lays the foundation for the large-scale application stage of an idea control system, and it is hopeful to obtain considerable social benefits and economic benefits.