278 results about "Function optimization" patented technology

A design methodology is provided for creating biomaterial scaffolds optimized for in vivo function with any 3D anatomic shape. The method creates all designs using voxel based design techniques. It also provides for optimization of implant and scaffold microstructure to best match functional and biofactor delivery (including cells, genes and proteins) requirements. The voxel based design techniques readily allow combination of any scaffold or implant microstructure database with any complex 3D anatomic shape created by CT or MRI scanners. These designs can be readily converted to formats for layered manufacturing or casting.

A system and method for implementing a display which also serves as one or more of a tactile user interface touchscreen, proximate hand gesture sensor, light field sensor, lensless imaging camera, document scanner, fingerprint scanner, and secure optical communications interface. In an implementation, an OLED array can be used for light sensing as well as light emission functions. In one implementation a single OLED array is used as the only optoelectronic user interface element in the system. In another implementation two OLED arrays are used, each performing and / or optimized from different functions. In another implementation, an LCD and an OLED array are used in various configurations. The resulting arrangements allow for sharing of both optoelectric devices as well as associated electronics and computational processors, and are accordingly advantageous for use in handheld devices such as cellphone, smartphones, PDAs, tablet computers, and other such devices.

A method for strategy independent optimization of a multi-objective function of a portfolio containing at least one investment is disclosed. The method involves the use of genetic algorithms to arrive at function optimization. A suite of strategies is provided enabling the user to select a strategy and optimize a function. Real world data is drawn from exchanges and is utilized for replication. The invention also discloses a novel combination of apparatus for carrying out the method of invention, typically, using parallel processing.

An improved method for reducing the accuracy requirements on the starting model when performing multi-scale inversion of seismic data (65) by local objective function optimization (64). The different scales of inversion are brought about by incorporating a low-pass filter into the objective function (61), and then decreasing the amount of high-frequency data that is filtered out from one scale to the next. Moreover, the filter is designed to be time varying, wherein the filter's low-pass cutoff frequency decreases with increasing traveltime of the seismic data being filtered (62). The filter may be designed using Pratt's criterion for eliminating local minima, and performing averages (or other statistical measure) of the period and the traveltime error only with respect to source and receiver location but not traveltime (63).

A memory system comprising a qubit array configured to store therein and read one or more entangled qubit states encoded using a quantum stabilizer code. The quantum-memory system further comprises a quantum-state-refresh module configured to change an entangled qubit state in the qubit array when an error is detected therein. The quantum-state-refresh module is configured to detect an error by performing a redundant measurement of a set of syndrome values corresponding to the quantum stabilizer code, with the redundant measurement being based on a block error-correction code. In one embodiment, the block error-correction code is a low-density generator-matrix code or a low-density parity-check code constructed using an EXIT-function optimization method.

The invention discloses a bus stop people monitoring device which comprises a video acquisition module and a video processing module; the video acquisition module is used for acquiring the real-time video data of a bus stop; and the video processing module is connected with the video acquisition module for pre-processing and analyzing the video data which is acquired by the video acquisition module so as to obtain the people state information of the bus stop and send the people state information to a remote control center. According to the invention, the people state information refers to people crowdedness information or the motion and abnormal behavior information of the people. According to the invention, the automatic detection for the state information of waiting passengers is completed by acquiring the video information from the bus stop, the manpower monitoring for the bus stop through eye observation is replaced, so that the coverage, the detection precision and the real-time performance of a bus stop monitoring system are improved, the basic information acquired by an existing bus dispatching management system is effectively supplemented, and the requirements of bus dispatching management on function optimization are met.

The invention discloses an unmanned aerial vehicle sequence image batch processing three-dimensional reconstruction method comprising: first, integrating the matching of images with low-precision GPS / INS information; second, creating a pole chart; third, calculating a globally consistent rotation set; forth, initializing the central point of a camera; fifth, generating a trajectory corresponding to the characteristic points; sixth, initializing a 3D structure; seventh, performing beam method difference leveling; eighth, reconstructing the dense points; and ninth, mapping the texture. According to the technical schemes of the invention, it is possible for the large field batch processing three-dimensional reconstruction of large data unmanned aerial vehicle sequence images. Through the utilization of the low-precision GPS / INS priori information to match the images, to create a pole chart, to draw the trajectory of the central point of multi-views as well as the new beam method difference leveling for function optimization, the precision and efficiency for three-dimensional reconstruction are increased.

A system for implementing a display which also serves as one or more of a tactile user interface touchscreen, light field sensor, proximate hand gesture sensor, and lensless imaging camera. In an implementation, an OLED array can be used for light sensing as well as light emission functions. In one implementation a single OLED array is used as the only optoelectronic user interface element in the system. In another implementation two OLED arrays are used, each performing and / or optimized from different functions. In another implementation, an LCD and an OLED array are used in various configurations. The resulting arrangements allow for sharing of both optoelectric devices as well as associated electronics and computational processors, and are accordingly advantageous for use in handheld devices such as cellphone, smartphones, PDAs, tablet computers, and other such devices.

The invention provides a GEMM (general matrix-matrix multiplication) high-performance realization method based on a domestic SW 26010 many-core CPU. For a domestic SW many-core processor 26010, based on the platform characteristics of storage structures, memory access, hardware assembly lines and register level communication mechanisms, a matrix partitioning and inter-core data mapping method is optimized and a top-down there-level partitioning parallel block matrix multiplication algorithm is designed; a slave core computing resource data sharing method is designed based on the register level communication mechanisms, and a computing and memory access overlap double buffering strategy is designed by using a master-slave core asynchronous DMA data transmission mechanism; for a single slave core, a loop unrolling strategy and a software assembly line arrangement method are designed; function optimization is achieved by using a highly-efficient register partitioning mode and an SIMD vectoring and multiplication and addition instruction. Compared with a single-core open-source BLAS math library GotoBLAS, the function performance of the high-performance GEMM has an average speed-up ratio of 227. 94 and a highest speed-up ratio of 296.93.

The invention relates to a smart city life service system. The system comprises a smart life client and a background internet of things management system. The background internet of things management system provides data support for the smart life client. An information channel between residents and the government is established. Through adoption of the smart life client, social problems are actively reflected, and convenient and fast service is obtained. The demands of residents for the public service are satisfied. The residents can proactively take part in social governance. According to the system, attention is paid to follow-up service and operation; the functions can satisfy the demands of the residents well; resident service guides are made more finely; the functions are clear, simple and easy to operate; attention is paid to resident privacy, and through adoption of the unique function, the resident life experience is optimized; a smart city is established; the residents interact with the government, and the residents can proactively take part in social governance; the function can be docked with other functions; and the system has high stability and expandability.

Features are extracted from video and audio content that have a known temporal relationship with one another. The extracted features are used to generate video and audio signatures, which are assembled with an indication of the temporal relationship into a synchronization signature construct. the construct may be used to calculate synchronization errors between video and audio content received at a remote destination. Measures of confidence are generated at the remote destination to optimize processing and to provide an indication of reliability of the calculated synchronization error.

The present invention relates to a system, method, and computer program product for recognition objects in a domain which combines feature-based object classification with efficient search mechanisms based on swarm intelligence. The present invention utilizes a particle swarm optimization (PSO) algorithm and a possibilistic particle swarm optimization algorithm (PPSO), which are effective for optimization of a wide range of functions. PSO searches a multi-dimensional solution space using a population of “software agents” in which each software agent has its own velocity vector. PPSO allows different groups of software agents (i.e., particles) to work together with different temporary search goals that change in different phases of the algorithm. Each agent is a self-contained classifier that interacts and cooperates with other classifier agents to optimize the classifier confidence level. By performing this optimization, the swarm simultaneously finds objects in the scene, determines their size, and optimizes the classifier parameters.

The invention discloses a face age estimation method performing measurement learning based on a convolutional neural network. The method comprises the overall steps that a dataset is constructed; thedataset is divided into a training set and a verification set; paired construction is performed on mini-batches on a network input layer, and then the mini-batches are sent into two twin networks fortraining; a VGG-16 network is constructed; network training is performed; softmax loss and revised contrastive loss are jointly used as supervisory signals to perform network adjustment; network evaluation is performed; and the finally estimated age is a maximum probability corresponding category obtained on a softmax layer. According to the method, deep learning and measurement learning are combined; by introducing measurement learning, the distinction degree of a feature space is higher, and therefore the robustness of an age estimation algorithm is higher; and deep learning is utilized to combine a feature extraction task and an objective function optimization task, end-to-end training is realized for the whole task, and good performance can be obtained when the method is applied to a public dataset.

Method for speeding up iterative inversion of seismic data (106) to obtain a subsurface model (102), using local cost function optimization. The frequency spectrum of the updated model at each iteration is controlled to match a known or estimated frequency spectrum for the subsurface region, preferably the average amplitude spectrum of the subsurface P-impedance. The controlling is done either by applying a spectral-shaping filter to the source wavelet (303) and to the data (302) or by applying the filter, which may vary with time, to the gradient of the cost function (403). The source wavelet's amplitude spectrum (before filtering) should satisfy D(f)=fIp(f)W(f), where f is frequency, D(f) is the average amplitude spectrum of the seismic data, and Ip(f) is the average amplitude spectrum for P-impedance in the subsurface region (306,402) or an approximation thereof.

The invention provides a micro-earthquake focus rapid positioning method based on an arrival time difference database, and belongs to the earthquake focus positioning technology field. The micro-earthquake focus rapid positioning method comprises the steps that a geological numerical model of a monitoring area is established, and mesh division is carried out, and every mesh point is adopted as a characteristic earthquake focus point; by combining with the characteristic earthquake focus point, a sensor position coordinate, and an earthquake focus wave speed, a characteristic earthquake focus point arrival time difference database is established; by using a waveform information acquisition system, the time of the earthquake source waves arriving at different sensors is extracted from waveform signals received from the sensors; the arrival time difference between any two sensors is calculated, and the arrival time difference matrix of the earthquake focus is established, and the matching searching of the arrival time difference matrix and the characteristic earthquake focus point arrival time difference database is carried out to realize the real-time rapid positioning of the earthquake focus. During an actual micro-earthquake monitoring project, the characteristic earthquake focus point arrival time difference database is established in advance, and the function optimization iteration solution of the earthquake focus is not required, and therefore time required by the earthquake focus positioning is greatly reduced, and rock mass engineering dynamic disaster early warning time is effectively reduced.

A hierarchical latent structure setting unit 81 sets a hierarchical latent structure that is a structure in which latent variables are represented by a tree structure and components representing probability models are located at nodes of a lowest level of the tree structure. A variational probability computation unit 82 computes a variational probability of a path latent variable that is a latent variable included in a path linking a root node to a target node in the hierarchical latent structure. A component optimization unit 83 optimizes each of the components for the computed variational probability. A gating function optimization unit 84 optimizes a gating function model that is a model for determining a branch direction according to the multivariate data in a node of the hierarchical latent structure, on the basis of the variational probability of the latent variable in the node.

The interface current limiting method comprises the steps of obtaining a current limiting threshold value of a current interface; Receiving an access request, and confirming whether the access requestis a normal request or not; When it is determined that the access request is a normal request, counting the total number of access requests received by the current interface within a preset time; Confirming a new current-limiting threshold value of the current interface, and setting the maximum value of the number of access requests allowed to be received by the new current-limiting threshold value in unit time; And updating the current limiting threshold value of the current interface into a new current limiting threshold value, and performing current limiting control on the current interface according to the new current limiting threshold value. The invention also provides an interface current limiting device, electronic equipment and a storage medium. The interface supports the currentlimiting function of any unit time and optimizes the interface function, so that the current limiting function is more flexible, and more service requirements can be met.

A magnetoresistive random access memory (MRAM) has separate read and write paths. This reduces the peripheral circuitry by not requiring switching between read and write functions on a particular line. By having the paths dedicated to either read signals or write signals, the voltage levels can be optimized for these functions. The select transistors, which are part of only the read function, may be of the low-voltage type because they do not have to receive the relatively higher voltages of the write circuitry. Similarly, the write voltages do not have to be degraded to accommodate the lower-voltage type transistors. The size of the overall memory is kept efficiently small while improving performance. The memory cells are grouped so that adjacent to groups are coupled to a common global bit line which reduces the space required for providing the capacitance-reducing group approach to memory cell selection.

The invention relates to a function optimization technology, and provides a task scheduling method and device, computer equipment and a storage medium. The method comprises the steps that when a taskscheduling instruction sent by a terminal is received, acquiring a task identifier of a to-be-executed task according to the task scheduling instruction; Querying scheduling configuration informationcorresponding to the task identifier in a configuration file according to the task identifier, Wherein the scheduling configuration information is pre-configured in the configuration file; Determininga processing server for executing the to-be-executed task according to the scheduling configuration information; And generating a task execution instruction corresponding to the task identifier and sending the task execution instruction to the processing server. By adopting the method, the task scheduling efficiency can be improved.

The invention relates to optical equipment, in particular to visual performance optimization rehabilitation training equipment. The equipment comprises a support frame, a working frame, a special optometry disk, a view screen, a view screen guide rail, a sighting mark controller and a guide rail column; the support frame comprises a quadrate table surface, support legs are arranged under the table surface, an optometry disk guide column and a guide rail bracket are arranged on the table surface, and one edge, parallel to the table surface, of the optometry disk guide column is movably connected with the other edge; the working frame is arranged at a position, close to the optometry disk guide column, on the table surface; and the special optometry disk is connected under the edge, parallel to the table surface, of the optometry disk guide column and is close to the working frame. One end of the view screen guide rail is fixedly connected with the guide rail bracket, while the other end is fixedly connected with the top of the guide rail column. The guide rail column is supported on the table surface or the ground; the special optometry disk is characterized in that a disk-shaped sleeve lens is arranged in a universal optometry disk visual hole; the view screen is arranged under the view screen guide rail and can move along the view screen guide rail; and sighting marks are displayed on the view screen.

The invention discloses a multi-infeed extra-high voltage power grid transverter wattless configuration method based on a short-circuit ratio. The extra-high voltage power grid transverter wattless configuration method comprises steps of 1) determining an object grid structure to be analyzed and related parameters, 2) arranging operation modes of an electric power system, 3) selecting a specific operation mode to calculate system load flows under different DC control modes, 4) calculating a multi-infeed short circuit ratio according to a load flow calculation result, 5) calculating a multi-infeed DC node voltage comprehensive improvement index, 6) determining a candidate node of the multi-infeed extra-high voltage DC power grid transverter wattless configuration n according to the multi-infeed DC node comprehensive improvement index, and 7) programming a single objective function optimization program according to an objective function to determine a wattless compensation capacity. The extra-high voltage power grid transverter wattless configuration method guarantees to reduce the operation cost of the power grid, guarantee the power grid to safely, reliably, economically, and efficiently operate, has significance and provides technical basis to planning design and operation control of the mmulti-infeed high voltage DC power grid.

The invention relates to a dispatching function optimization method based on a multi-objective genetic algorithm. The method comprises the following steps of: setting the form of a dispatching function; setting decision variables; and calculating dispatching rules by multi-objective particle swarm optimization (MOPSO), wherein the calculation process by the multi-objective particle swarm optimization (MOPSO) comprises the steps of performing initialization, creating an external Archive and creating a copy in the Archive according to position information of non-dominated particles in popVar, and iterating. According to the method disclosed by the invention, the particle swarm optimization is adopted for replacing linear regression. The algorithm has the advantages of simple flow process, easiness in implementation, few algorithm parameters, fast convergence speed and the like and is further widely adopted. By applying the method to the generation of a reservoir dispatching function, the established dispatching function can be utilized for optimizing optimal parameters and the reservoir optimal dispatching function can be further obtained.

The invention discloses an image blind restoration method based on blurred noise image pair joint optimization, which is used for solving the technical problem that the available image blind restoration method is poor in image restoration effect. The method adopts the technical scheme that a noise image is introduced; effective edge information which is not blurred and contained in the noise image is utilized; a blurred kernel and a clear image are solved by joint objective function optimization of a joint blurred image and the noise image; the problems that the blurred kernel is misestimated and a restoration result is poor due to the fact that a non-blurred image edge is inaccurately estimated from the blurred image are solved; and the image with better effects and more details is obtained. The method improves the image restoration effect.

The invention discloses a tracked unmanned vehicle trace tracking controller design method based on a kinematic model, and belongs to the technical field of vehicle control. The method includes the steps: firstly, building a state-space equation according to the kinematic model of a slip tracked vehicle; secondly, performing standard quadratic transformation according to a set target function; finally, calculating a new control sequence through the target function optimization process by a system in a next control period T, and repeatedly performing rolling optimization to realize trace tracking control. According to the method, a built controller has good tracking capacity for continuous and discrete point paths, particularly, running speed is stabilized near expected speed in the low-speed tracking process, linear tracking steady-state errors approach to 0, and running traces are smooth.

The invention relates to a primary frequency modulation function optimization experiment method of a generator set. The primary frequency modulation function optimization experiment method of the generator set comprises the steps that (1) rotating speed deviation signals are converted into frequency difference - power signals; (2) the frequency difference - power signals are converted into primary frequency modulation power - valve position incremental quantity instructions through per-unit processing; (3) a speed limiting module and a power amplitude limiting module are arranged to generate actual load instructions; (4) the frequency difference - power signals and the actual load instructions are summated to form a comprehensive load instruction, and then deviation calculation is conducted on the comprehensive load instruction and the actual load feedback signals of the generator set; (5) proportional - integral PI operation processing is conducted, and a comprehensive electric door adjusting instruction is generated finally; (6) the comprehensive door adjusting instruction and the primary frequency modulation power - valve position incremental quantity instructions undergo superposition summation, and the load of the turbo generator set is adjusted after processing. The primary frequency modulation function optimization experiment method of the generator set effectively improves the capacity for participating in primary frequency modulation of a power grid of the generator set, and the power supply quality of the power grid is obviously improved.

The invention relates to a method for debugging an 8051 core-based system on chip (SOC) on line, and belongs to the technical field of integrated circuit design. On-line debugging software on a personal computer (PC) finishes communication with an asynchronous serial interface in the SOC through a serial line so as to realize on-line debugging. The system comprises the on-line debugging software on the PC, an RS232 conversion circuit and the 8051 core-based SOC. The method realizes the 51 instruction analysis, breakpoint processing, operation processing and content debugging of the SOC. Software codes are debugged on line by a few data lines after the mass production of chips is realized, so that the debugging work of the system is greatly simplified, the debugging time is shortened, the function optimization of the system is facilitated and the fault tolerance of the system is enhanced. Meanwhile, the scheme is simple and reliable, avoids using a logic analyzer and automatic test equipment to cause high cost, and can be applied to various SOCs taking an 8051 core as a control core.