1732 results about "Global optimization" patented technology

Exploiting the substantive reciprocity of internode channel responses through dynamic, adaptive modification of receive and transmit weights, enables locally enabled global optimization of a multipoint, wireless electromagnetic communications network of communication nodes. Each diversity-channel-capable node uses computationally efficient exploitation of pilot tone data and diversity-adaptive signal processing of the weightings and the signal to further convey optimization and channel information which promote local and thereby network-global efficiency. The preferred embodiment performs complex digital signal manipulation that includes a linear combining and linear distribution of the transmit and receive weights, the generation of piloting signals containing origination and destination node information, as well as interference-avoiding pseudorandom delay timing, and both symbol and multitione encoding, to gain the benefit of substantive orthogonality at the physical level without requiring actual substantive orthogonality at the physical level.

A building heating/cooling system energy optimization method for a building having a heating/cooling system includes the steps of providing a mathematical model of the heating/cooling system, obtaining real-time weather information, reading the input water temperature (IWT), the output water temperature (OWT) and the supply air temperature (SA) output to the building, periodically transferring the IWT, the OWT and the SA to an optimization system which is operative to analyze the real-time data in coordination with the mathematical model by assigning at least three selected values in a range surrounding and including the current values of each of the IWT, the OWT and the SA and calculating the efficiency profile of the components of the heating/cooling system for each of the selected values, then cooperatively optimizing and selecting those values calculated to provide the highest efficiency profile, then periodically resetting the system values to those selected by the optimization system.

A video summary method comprises dividing a video into a plurality of video shots, analyzing each frame in a video shot from the plurality of video shots, determining a saliency of each frame of the video shot, determining a key frame of the video shot based on the saliency of each frame of the video shot, extracting visual features from the key frame and performing shot clustering of the plurality of video shots to determine concept patterns based on the visual features. The method further comprises fusing different concept patterns using a saliency tuning method and generating a summary of the video based upon a global optimization method.

A method of power system dispatch control solves power system dispatch problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage. The method employs a predictive algorithm to dynamically schedule different assets in order to achieve global optimization and maintain the system normal operation.

A system, method, and software product provide for unsupervised identification of complex, nonlinear subspaces in high dimensional data. The system includes a vector quantization module, a weighted topology representing graph module, and an encoding module. The vector quantization module takes vector data inputs and extracts a group of inputs about a number of cluster centers, using a globally optimized clustering process. The weighted topology representing graph module creates a weighted graph of the vector space, using the cluster centers as nodes, weighting edges between nodes as a function of the density of the vectors between the linked nodes. The encoding module uses the weighted graph to recode the input vectors based on their proximity to the cluster centers and the connectedness of the graph. The recoded vectors are reinput into the vector quantization module, and the process repeated until termination, for example at a limited number of cluster centers. Upon termination, the clusters thus identified may be highly nonlinear in the original data space.

A knowledge driven composite design optimization process for designing a laminate part includes steps for generating a globally optimized 3-D ply definition for a laminate part, and modifying the 3-D ply definition to include features of the laminate part, where the generating and modifying steps are parametrically linked to one another and are performed in the recited order. Preferably, the generating step includes substeps for determining connectivity between a plurality of regions defining the laminate part, subsequently generating ramp features detailing interconnection of the regions defining the laminate part, and displaying views and corresponding tabular data describing the laminate part and illustrating both inter-region connectivity and the ramp features as specified by a user. A knowledge driven composite design optimization system and associated computer memory for operating a general purpose computer as a knowledge driven composite design optimization system are also described.

The method according to the invention gene rates an aerial image mosaic viewing a larger area than a single image from a camera can provide using a combination of computer vision and photogrammetry. The aerial image mosaic is based on a set of images acquired from a camera. Selective matching and cross matching of consecutive and non-consecutive images, respectively, are performed and three dimensional motion and structure parameters are calculated and implemented on the model to check if the model is stable. Thereafter the parameters are globally optimised and based on these optimised parameters the serial image mosaic is generated. The set of images may be limited by removing old image data as new images are acquired. The method makes it is possible to establish images in near real time using a system of low complexity and small size, and using only image information.

The invention provides a method for controlling a global optimization of energy saving for a central air conditioning system based on a model, comprising a control module, a multichannel data acquisition card and control card, a refrigerating unit data collector and a controller, a humidity sensor, a temperature sensor, a flow sensor, a watt transducer, a water pump frequency converter, a fan frequency converter, an RS232/RS485 conversion module and a RS485/RS232 conversion module. The whole system can be operated under the condition of most energy saving according to an operating condition of optimized energy saving of each energy consumption device acquired by calculation of a calculation module by taking energy consumption modules of a refrigerating unit, a water pump and a fan and an ARMA air conditioning load forecasting model. The invention thoroughly concerns an influence of the operating condition of each power device in the system to the energy consumption of the whole system, takes a control strategy based on a forecasted air conditioning load, and performs an online update for the energy consumption modules of key energy consumption devices in the system, thereby greatly improving an effect of optimization of energy saving for the central air conditioning system.

A network resource allocation system and method of the same are provided according to the present invention. The system and method are applicable to a wireless mesh network, the method including: programming traffic of connections between routers; exchanging data between neighboring routers, thereby enabling the routers to perform dispersive network resource allocation according to the exchanged data; checking a local time window and a global time window for expiration by the router; and, under the condition of local performance deterioration or local traffic variation, activating a local routing adjustment mechanism by the router, wherein, if global performance deterioration currently exists, then activating a global optimization mechanism by a central controller, and, if not, then resetting the global time window. Accordingly, the present invention is capable of perceiving the traffic status of each connection between routers, thereby efficiently directing traffic to various channels and wireless transceivers.

A method of estimating three-dimensional camera position information from a series of two-dimensional images that form a panorama employs common features in adjoining image pairs in the series to estimate a transform between the images in the pairs. The common features are subsequently employed to adjust an estimated rotational component of each transform by reducing error between coordinates corresponding to the common features in three-dimensional space in image pairs, on a pair-by-pair basis. A global optimization of the position estimation, used for long sequences of images such as 360 degree panoramas, refines the estimates of the rotational and focal length components of the transforms by concurrently reducing error between all 3D common feature coordinates for all adjoining pairs.

The invention discloses a method for predicting the future speed trajectory of a hybrid power bus. The method includes the following steps that parameters are obtained and normalized; an input parameter vector and an output parameter vector of an RBF neural network are determined; the RBF neural network is offline trained; the future speed trajectory is online predicted. Based on online learning of the RBF neural network, prediction of the speed trajectory is studied under the precondition that global optimization of the control strategy of the hybrid power bus is achieved from the aspect of a people-bus-environment system, the method for predicting the bus future driving trajectory is provided and fully takes bus state parameters, driver driving styles and front road environment and traffic state parameters into consideration, and accuracy of prediction of the bus speed is improved. The influences of the people-bus-environment system on the future working condition is fully taken into consideration, accuracy of prediction of the working condition is improved while the bus has the precognition capacity, and a good foundation is laid for global optimization of the control strategy.

The invention relates to a color image three-dimensional reconstruction method based on three-dimensional matching, comprising the following steps of: (1) simultaneously and respectively taking an image from proper angles by using two color cameras; (2) respectively calibrating the internal parameter matrixes and the external parameter matrixes of the two cameras; (3) carrying out polar line correction and image transformation according to calibrated data; (4) working out matching cost for each pixel point in the two corrected images by applying a self-adaption weight window algorithm and acquiring an initial parallax image; (5) marking the reliability coefficient of the pixel initial matching result by adopting matching cost reliability detection and left and right consistency verification; (6) carrying out color segmentation on the images through a Mean-Shift algorithm; (7) carrying out global optimization by a selective confidence propagation algorithm on the basis of color segmentation and pixel reliability classification results to obtain a final parallax image; and (8) working out the three-dimensional coordinates of actual object points on the images according to the calibrated data and the matching relation, thereby reconstructing the three-dimensional point cloud of an object.

The invention discloses a vSLAM implementation method and system based on point and line feature fusion. The method includes Step S110, obtaining an image frame sequence of a target scene; Step S120,preprocessing each frame of image; Step S130, according to successfully matched point features and lie features, initializing an environmental map; Step S140, tracking based on the environmental map,and estimating the pose of a current frame of image; Step S150, judging whether the current frame of image meets a key frame condition, if yes, executing Step S160, otherwise repeatedly executing StepS110 to Step S150; Step S160, executing a step of a local map thread; Step S170, executing a step of a closed-loop detection thread; and Step S180, executing a step of a global optimization thread toobtain an optimized environmental map and complete simultaneous localization and mapping. The extraction and matching processes of line features are improved, so as to improve the accuracy of data association in the front end, and thus the defects of vSLAM which exist in a complicated low-texture scene can be effectively overcome.

The invention discloses a method for controlling hybrid power urban buses. The method comprises the steps of off-line optimizing and on-line controlling. The idea of control strategy switching is put forward, driving reference working conditions targeting regions and more conforming to actual bus driving routes are established, off-line overall optimizing is carried out based on the working conditions, the optimum control effect can be achieved, and the problem that the dynamic planning cannot be applied to on-line and real-time control because the calculated quantity of the dynamic planning is large is solved. When the hybrid buses are driven actually, whether the similarities between the actual driving working conditions and the established driving reference working conditions and between the road prediction working conditions and the established driving reference working conditions are judged on line, if yes, real-time torque distribution is carried out on the hybrid power urban buses by calling dynamic planning optimum control parameters stored in a bus main controller, or otherwise, control strategies are switched, on-line and real-time control is carried out on the buses by adopting the fuzzy logic rule control strategy which is high in self-adaptability and realizability, and accordingly the control strategy adaptation is improved.

The invention relates to a genetic-algorithm-based trajectory planning optimization method for a mobile mechanical arm. According to the technical scheme, the method comprises the following steps of first establishing a forward kinematic model and an inverse kinematic model of a multi-degree-of-freedom mobile mechanical arm; then fitting a joint trajectory by adopting a composite curve of a quartic polynomial mathematical model and a quintic polynomial mathematical model, and calculating solutions of the corresponding mathematical models according to a linear constraint equation; next selecting a trajectory optimization target according to the principles of shortest motion time, minimum spatial motion distance and less than or equal to maximum set joint torque of the mobile mechanical arm; and finally globally optimizing the optimization target by utilizing a genetic algorithm to obtain an optimal trajectory curve of an end actuator of the mechanical arm. According to the method, the trajectory planning efficiency and the tracking accuracy of the mechanical arm are improved, and the problems of real-time trajectory planning of the mobile mechanical arm and trajectory planning optimization and control of the mechanical arm in an uncertain environment are also solved; and the trajectory planning optimization method for the mobile mechanical arm is effective.

The invention discloses a cascade reservoir multi-objective optimization scheduling method based on an improved artificial bee colony algorithm. The method comprises the following steps that s11, the basic information data of a cascade reservoir system are acquired; s12, a multi-objective scheduling model including power generation, estuarine ecology and water supply is established according to the information of the reservoir system; and s13, the optimal scheduling scheme of the cascade reservoir system is solved by performing the improved artificial bee colony algorithm. Global optimization of the reservoir scheduling problem can be realized so that the calculation efficiency and accuracy can be enhanced, and a new approach can be provided for solving the multi-objective optimization scheduling problem of the cascade reservoir system.

Stitched images generated from combinations of multiple separate images mostly have irregular boundaries. Users generally prefer rectangular boundaries. Techniques for warping an image with irregular boundaries to give the image rectangular boundaries are disclosed herein. Preliminary warping of the image into the rectangle provides a rectangular shape on which to overlay a mesh. The image is reverted to its original shape with irregular boundaries and the mesh is warped accordingly. Global optimization is applied to the image by finding an energy minimum, or reduced energy below a threshold, for a function that gives the image a rectangular shape while preserving shapes and preserving straight lines. The mesh is warped according to the solution of the function and the image is stretched and/or compressed along with the mesh. This approach generates results that are qualitatively more visually attractive than other contemporary techniques.

A knowledge driven composite design optimization process for designing a laminate part includes steps for generating a globally optimized 3-D ply definition for a laminate part, and modifying the 3-D ply definition to include features of the laminate part, where the generating and modifying steps are parametrically linked to one another and are performed in the recited order. Preferably, the generating step includes substeps for determining connectivity between a plurality of regions defining the laminate part, subsequently generating ramp features detailing interconnection of the regions defining the laminate part, and displaying views and corresponding tabular data describing the laminate part and illustrating both inter-region connectivity and the ramp features as specified by a user. A knowledge driven composite design optimization system and associated computer memory for operating a general purpose computer as a knowledge driven composite design optimization system are also described.