250results about How to "Fast optimization" patented technology

An inexpensive and rapid method for fabricating arrays of hollow microneedles uses a photoetchable glass. Furthermore, the glass hollow microneedle array can be used to form a negative mold for replicating microneedles in biocompatible polymers or metals. These microneedle arrays can be used to extract fluids from plants or animals. Glucose transport through these hollow microneedles arrays has been found to be orders of magnitude more rapid than natural diffusion.

The present invention provides labeling reagents and methods for labeling primary antibodies and for detecting a target in a sample using an immuno-labeled complex that comprises a target-binding antibody and one or more labeling reagents. The labeling reagents comprise monovalent antibody fragments or non-antibody monomeric proteins whereby the labeling proteins have affinity for a specific region of the target-binding antibody and are covalently attached to a label. Typically, the labeling reagent is an anti-Fc Fab or Fab′ fragment that was generated by immunizing a goat or rabbit with the Fc fragment of an antibody. The present invention provides for discrete subsets of labeling reagent and immuno-labeled complexes that facilitate the simultaneous detection of multiple targets in a sample wherein the immuno-labeled complexes are distinguished by i) a ratio of label to labeling reagent, or ii) a physical property of said label, or iii) a ratio of labeling reagent to said target-binding antibody, or iv) by said target-binding antibody. This is particularly useful for fluorophore labels that can be attached to labeling reagents and subsequently immuno-labeled complexes in ratios for the detection of multiple targets.

The invention discloses a method for determining technological parameters in a flow industrial process. The method includes the steps of firstly, collecting production data, and using the technological parameters as input and product quality and output to build quality models; secondly, using rule extraction to extract corresponding rules between the input and the output from the production data so as to form a rule library; and thirdly, using optimization to find rules corresponding to given quality indexes according to the given quality indexes, initiating the technological parameters in the range of the rules, using the initiated technological parameters as input of the quality models to predict product quality, calculating errors between the predicted quality and the quality indexes, and correcting to find optimal parameters to enable the errors between the predicted quality and the quality indexes to be minimum. By the method, product yield is improved effectively and production cost is lowered.

The invention provides a cooperative air combat firepower distribution method based on an improved multi-target leapfrog algorithm and belongs to the technical field of computer simulation and method optimization. The method comprises the steps that firstly, required data information is obtained through a cooperative air combat formation command and control system; secondly, a multi-target optimization module of cooperative air combat firepower distribution is established; then a multi-target quantum leapfrog algorithm based on a self-adaptive mesh method is carried out, and a Pareto non-inferior solution of firepower distribution problem is solved; finally, rules can be selected independently according to the optimal distribution scheme, and the optimal firepower distribution scheme is selected from the non-inferior solution. The cooperative air combat firepower distribution method based on the improved multi-target leapfrog algorithm has the major functions that weapons on a fighter aircraft on an attack mission are distributed to multiple targets according to the optimal firepower distribution scheme, the formed cooperative air combat is enabled to realize the optimal cooperative attack effect, and the maximum operational effectiveness is obtained.

Systems and methods which implement workflows for providing reconfigurable processor core algorithms operable with associated capabilities using description files, thereby facilitating the development and generation of instruction sets for use with reconfigurable processors, are shown. Embodiments implement a multistage workflow in which program code is parsed into custom instructions and corresponding capability descriptions for generating reconfigurable processor loadable instruction sets. The multistage workflow of embodiments includes a hybrid threading complier operable to compile input program code into custom instructions using a hardware timing agnostic approach. A timing manager of the multistage workflow of embodiments utilizes capabilities information provided in association with the custom instructions generated by the hybrid threading complier to impose hardware timing on the custom instructions. A framework generator and hardware description language complier are also included in the multistage workflow of embodiments.

A method and apparatus for optimizing the operation of a power generating plant using artificial intelligence techniques. One or more decisions D are determined for at least one consecutive time increment, where at least one of the decisions D is associated with a discrete variable for the operation of a power plant device in the power generating plant. In an illustrated embodiment, the power plant device is a soot cleaning device associated with a boiler.

The invention discloses a method and system for utility boiler combustion subspace modeling and multi-objective optimization, belongs to the field of utility boiler optimization operation, and particularly relates to a method and system for setting up of a high-precision combustion model and solution of multi-objective optimization. The method includes the following steps of determining input variables of a combustion optimization model, determining the variable to be optimized from all the input variables, dividing a load into a plurality of sectors with the neighborhoods overlapped, setting up a combustion subspace ANFIS model for each sector in an off-line mode, collecting data in real time, conducting partial subspace model modification in an on-line mode, conducting on-line multi-objective optimization by taking the constraint of a unit load into consideration, taking maximizing the boiler efficiency and minimizing the nitrogen oxide emission as targets, and utilizing a mature global optimization algorithm and on the basis of comprehensive cost minimization, and separating and implementing the optimization result. The method and the system are suitable for combustion optimized operation of a coal powder utility boiler and have the advantages of being high in modeling accuracy and high in optimization speed.

The invention relates to a vibration fault diagnosis method of a hydroelectric generating set. The method comprises the steps of: firstly, carrying out denoising processing on collected original vibration signals by utilizing a random resonance technology; secondly, carrying out characteristic vector extraction on the vibration signals after the denoising by utilizing a multi-dimensional permutation entropy technology; thirdly, establishing fault diagnosis models of optimized support vector machine based on an improved particle swarm algorithm; fourthly, inputting extracted characteristic vectors into the models of the models of optimized support vector machine based on the improved particle swarm algorithm for fault diagnosis. The method is applicable to the vibration fault diagnosis of the hydroelectric generating set, the diagnosis result is high in precision, the fault type of the generating set can be relatively accurately diagnosed, the reliable diagnosis result is provided to operation maintenance personnel of the generation set, the maintenance personnel can process faults timely and rapidly, and the safety and the economic performance of the operation of the generating set are ensured.

The invention discloses an energy efficiency optimization based cooperative communication system resource allocation method, and belongs to the technical field of cooperative communication. The energy efficiency optimization based cooperative communication system resource allocation method comprises the steps of establishing a system model, analyzing a system scene, summarizing problems and solving an optimization problem by using a convex optimization method. The energy efficiency optimization based cooperative communication system resource allocation method gives consideration to system energy efficiency in the presence of time average; a time average based energy efficiency algorithm not only considers the performance of a current system, but also gives consideration to the system performance at the moments before the current moment, so that the fairness of system resource allocation is ensured, a mathematical expression of user fairness is provided; meanwhile, a simpler power sub-carrier adaptive allocation formula can be obtained tactfully through operation. According to the energy efficiency optimization based cooperative communication system resource allocation method, the optimization problem is divided into two sub-problems to be solved, power allocation on the sub-carrier is obtained through cyclical iteration, not only the current channel state information but also the former channel state are considered in the sub-carrier allocation process, the algorithm complexity of the energy efficiency optimization based cooperative communication system resource allocation method is reduced through tactful conversion, and the mathematical expression of the complexity is provided. The energy efficiency optimization based cooperative communication system resource allocation method is rational in algorithm design and easy to implement.

The invention discloses a method for improving data transmission speed of a website, which comprises the following steps of: after determining that a user logs in the system of a website, acquiring a corresponding characteristic attribute set according to the operation behaviors of the user during website browsing, and then acquiring at least one rule matched with the characteristic attribute set from a preset rule base according to the characteristic attribute set, screening out at least an advertisement corresponding to a scene restrained by the at least one rule according to the at least one rule, and issuing the at least one advertisement to the user; and monitoring the operation behaviors of users specific to the issuing of the advertisement, converting collected relevant parameters into corresponding rules for updating the rule base. Therefore, the updating and evolution of the rule base can be realized in real time on the basis of advertizing effect, and the advantages of low realization cost, short cycle and fast optimization speed can be achieved. The invention also discloses an advertizing management device and an advertizing management system.

The invention discloses a PEPSO-basedsiting and sizing method optimization method of a distribution type power supplyand belongs to the field of electric systems. The method is rapid, precise, effective and proper and is mainly provided for planning optimization of a power distribution network including a distribution type power supply. The objective is to determine an optimal access position and the capacity of the distribution type power supply. The technological means include capacity expanding of a transformer substation, circuit transformation upgrading and new accessing of the distribution power supply. The method is advantageous in that a complete multi-target optimization teaching model is established; the model covers multiple aspects of actors such as economic performance, reliability and environment protection; optimization seeking calculation is carried out based on a novel improved multi-target particle group algorithm PEPSO; a construction planning scheme is determined via the fuzzy decision technology; and power grid auxiliary analysis programs are compiles and planned based on the method, and the optimization seeking calculation is carried out, so a feasible scheme set is formed and an optimal scheme is determined.

The invention relates to an L1 / 2-norm-based sparse linear array optimization method. The method is characterized by comprising the basic steps of determining an initial array and a weighting matrix, determining array weight vectors, judging whether the stimulus of head and tail array elements in the array weight vector is greater than a set stimulus minimum delta or not, judging whether an L1 norm for optimizing a difference between the previous and latter array weight vectors is smaller than a set error minimum xi or not, and determining the array element positions and stimulus of the sparse linear array. According to the method, the non-convex optimization problem of solution to an L1 / 2 norm is converted into a series of convex optimization problems of the L1 norm, so that a sparse array with lower sparsity can be obtained to reduce the number of actually required array elements on the premise of substantially keeping calculation unchanged; meanwhile, the head and tail array elements of the array are constrained and adaptively regulated under the condition of given array aperture, so that the problem of deficiency of the head and tail array elements of the sparse array in an iterative convex optimization process is well solved, and the method is particularly applied to the place of optimization of a large-sized antenna array.

The invention discloses a unified model of a catadioptric omnidirectional camera and a calibration method thereof. The unified model of the catadioptric omnidirectional camera is formed by a virtual unit ball, a virtual viewpoint, a normalization plane and an imaging plane. On the basis of the unified model, a plurality of calibration plate images acquired through the catadioptric omnidirectional camera are utilized to calibrate the parameters of the model and the pose relationship between a calibration board and the catadioptric omnidirectional camera. On the condition that misalignment of the catadioptric omnidirectional camera exists, precision of the model is far higher than that of a unified imaging model of a traditional single view point catadioptric camera. Compared with other non-single-view-point imaging model, the model is simple in imaging model, strong in operability, quick in optimizing speed, and good in precision and noise-resistant performance. The calibration method is high in accuracy and convenient to operate, and is quick in non-linear optimized speed due to original value calculation.

The invention discloses a joint path selection and power distribution method for energy collection nodes in a wireless sensor network, and belongs to the field of cooperative communication technologies. The method comprises the steps of analyzing a system scene, describing problems; establishing a system mathematic model; and then finding the optimal solution by using an optimization method. The method aims at the special application scene and is derived from the actual application, and being different from the traditional independent sensor node or gateway resource distribution, the method comprehensively considers the joint power distribution and path selection of sensor nodes and gateways, and maximizes the handling capacity performance of the communication nodes by using the gateways as relay stations. According to the method of the invention, the solution of an optimization problem is processed by using convex optimization to convert a target function of the optimization problem without approximate calculation, so that computation complexity is greatly reduced while accuracy of the problem is not influenced, and delay generated by system overheads is reduced; a Lagrangian multiplier method is used in an optimizing process, and thus an optimizing speed is rapid; a subgradient method and an incremental step length are used in an iterative process, so that optimizing is more accurate.

The invention provides a reactive voltage optimal control method for a wind power plant cluster. The reactive voltage optimal control method comprises the steps that whether the reactive voltage optimal control for the wind power plant cluster needs to be carried out or not is judged; the reactive source equipment adjustment range of wind power plants and a pooling station in the wind power plant cluster region is obtained; and a reactive voltage optimal control mathematic model for the wind power plant cluster is built and solved. According to the reactive voltage optimal control method, a wind power plant cluster access point is used as a central voltage control node, the wind power plant grid-tied point bus voltage of the cluster region and a transformer tap of a booster station of the wind power plant are regulated, reactive compensation equipment of the pooling station is regulated to have reactive power, and a transformer tap of the pooling station is also regulated, the pilot node is enabled to meet the control instruction range of a dispatching mechanism, meanwhile the quiescent voltage stability margin of the cluster region is enabled to be maximum, and the active power transmission loss is enabled to be minimum; the quiescent voltage stability margin in the wind power plant cluster region can be effectively improved, the grid active loss in the cluster region also can be reduced, the operating safety and stability of a system are improved, and the capacity of digesting and saving wind power of the system is also improved.

The invention discloses an SQL to cloud environment mapping method. The method includes following steps: 1) rewriting the SQL statement to be transformed to obtain a plurality of rewritten HiveQL statement having the same function with the SQL statement to be transformed; 2) calculating the exercise price of each HiveQL statement and selecting the optimal statement for outputting. The SQL to cloud environment mapping system is also provided. The cloud environment statement (as HiveQL statement) can be quickly optimized while mapping the SQL statement to cloud environment for reducing actual input data size of the Mapper and Reducer and promoting the query performance.

The invention discloses a system for rapid optimizing of a maximum power point of a photovoltaic array under the shadow condition. The system for the rapid optimizing of the maximum power point of the photovoltaic array under the shadow condition is characterized in that the system comprises a photovoltaic cell set and an MPPT controller. The method for the rapid optimizing of the maximum power point of the photovoltaic array under the shadow condition comprises the steps of (1) preparation of data, (2) initialization of a program, (3) judgment of shadow covering, (4) adjustment of a duty ratio, and (5) searching of a maximum power point. The system and method for the rapid optimizing of the maximum power point of the photovoltaic array under the shadow condition have the advantages that the voltage of a position with the maximum power in the whole area can be found rapidly, the searching speed can be increased, searching accuracy can be improved, and the rapid optimizing of the maximum power point of the photovoltaic array under the shadow condition can be achieved without the need of extra arrangement of components.

The invention discloses a combined resource distribution method based on an energy acquisition cooperation communication system and belongs to the cooperation communication technology field. The method comprises steps of system scene analysis and problem resolution; system mathematics model establishment and optimal solution calculation on the basis of an optimization method. According to the method, for the special application scene from a practical application, compared with a relay selection method in the prior art, problems of high complexity and high network cost existing in relays in the prior art are solved, a single relay node selection algorithm and a corresponding resource distribution algorithm are searched from an easy-practical-application angle, single relay cooperation communication on the basis of energy acquisition is considered, a throughout expression under the scene is derived, optimal relay selection and power distribution are considered in a combined mode, and the method has great guiding meaning.

An apparatus, system, and method are disclosed for performing fast approximate computation of statistics on query expressions in order to improve query optimization within a database management system by accurately and quickly estimating the sizes of intermediate query results. This is accomplished by analyzing a query for join instruction and identifying a fact table and a dimension table within those join instructions. Then, frequency statistics corresponding to distinct values of within the fact table are retrieved from a catalog table. Those frequency statistics are used in combination with a full scan of the dimension table accurately and quickly estimate frequency statistics for an expected join between the fact table and dimension table. The estimated frequency statistics corresponding to the expected join may then be used in such operations as query optimization.

The invention discloses a top view-based parking lot vehicle self-positioning and map construction method. The method comprises a real-time map construction part and a self-positioning part. Accordingto the method, parking lot features are directly detected in a top view formed by splicing four fisheye camera projections, parking space detection does not need to be carried out on an original fisheye camera image or a corrected image, therefore, calculation cost is low, and the real-time requirement can be met; enhanced parking space information is used as feature description, a wheel speedometer is used to process parking space tracking problems in various scenes, and universality is achieved; the constraints of position relations between parking spaces are introduced, it is ensured thatthe boundaries of the parking spaces of which the types are identical and of which the positions are close are kept parallel, optimization constraints are enhanced, and a map construction effect is improved. The method is generally suitable for indoor and outdoor parking lots, and can realize vehicle self-positioning and map construction in real time on a low-power-consumption vehicle-mounted processor through a low-cost sensor system. The invention further provides a construction device, a construction system, an automatic driving vehicle and an autonomous parking system.

The invention discloses a cellular network energy efficiency optimization method based on relay cooperation and belongs to the cooperation communication technology field. The method comprises the following steps of establishing a system model; carrying out system scene analysis; carrying out problem resolution; and using a convex optimization method to solve an optimization problem. In the invention, a bit number transmitted per joule under maximized system time average is taken as a utility function, combined relay selection, carrier wave pairing and power distribution problems under an OFDM relay network scene of a plurality of relays and a plurality of users are combinedly considered and a realistic instructive significance is possessed. The method is different from a traditional relay protocol, a base station is allowed to retransmit information of a first time slot through idle subcarriers in a second time slot, emission power of the base station and the relay can be reduced and a system capacity is increased. An algorithm of the invention is designed reasonably and is easy to realize.

The invention relates to the technical field of battery state-of-charge estimation of an electric vehicle power battery system, in particular to an algorithm based on SOC and SOH joint estimation of apower battery. The method optimizes parameters of an RF algorithm through a TSBSO algorithm so as to optimize an algorithm pruning threshold, the number of pre-test samples and the number of decisiontrees, and the optimized algorithm can quickly find a globally optimal solution and improve the algorithm efficiency. The SOH of the power battery is estimated through the RBM, the RBM is optimized through the WOA, and model parameters are prevented from falling into local optimum and thus the purposes of correcting the maximum available capacity of the battery and improving the SOC estimation precision of the power battery under the full-time working condition are achieved; the SOC of the power battery is estimated through the combination of a TSBSO-RF H-infinity calculation method and filtering, the advantages of the two algorithms are exerted by adopting a linear fusion algorithm, the defects of the two algorithms are avoided and the SOC estimation precision of the power battery is higher.

This invention discloses an allocating method of united resource of a relay system based on optimal energy efficiency, and relates to the technical field of mobile communication. The method comprises the following steps: establishing a system model; analyzing a system scene; resolving problems; and solving an optimization problem by a convex optimization method. Compared with the traditional relay protocol, a base station is allowed to resend information of a first time slot through idle subcarriers during a second time slot; the transmitting power of the base station and the relay can be reduced; and the system capacity can be improved. The method uses an optimization model of the energy efficiency as a nonlinear mixed-integer programming problem; since the existing conventional method cannot be applied to solve the problem, and in order to reduce the complexity of the problem, the method first changes the optimization model into linear convex programming through using a Dinkelbach method, then solves the simplified linear programming problem based on dual programming, and finally works out an optimal solution based on the Hungarian algorithm and the subgradient algorithm. The method is reasonable in algorithm design, and is easy to realize.

The invention discloses a relay system energy efficiency optimization method based on the OFDM, and belongs to the technical field of mobile communication. The method comprises the steps: building a system model; carrying out the analysis of a system scene; summing up problems; and solving an optimization problem through employing a convex optimization method. The method combines the integrated channel state information under the constraints of the maximum total power and minimum user instant speed, gives consideration to the joint optimization problem of enabling the energy efficiency to be maximized while considering to the equity, and gives a mathematical expression of user equity. Aiming at the solving of the optimization problem, the method employs the convex optimization processing, converts a target function of an optimization problem, does not need to carry out approximate calculation, does not affect the precision of the problem, greatly reduces the calculating complexity, and reduces the time delay caused by the system expenditure. The method is reasonable in algorithm design, and is easy to implement.

The invention discloses an improved brute-force search method based train vehicle energy-saving operation method. The method includes steps of setting train operation line data and train parameters and establishing a train operation power consumption calculation model; taking train traction energy consumption and interval travel time as optimization targets, establishing a train operation energy-saving optimization model; processing an objective function and constraint conditions through a goal constraint method and converting a multi-target problem to a single-target problem; processing the constraint conditions, narrowing a solution search range and processing the converted single-target problem through a brute-force search method; selecting a train operation strategy with punctuality and the highest energy conversation rate according to the set train interval travel time and the interval distance, and obtaining a corresponding speed curve and energy consumption curve. According to the invention, regular energy conservation optimization precision of a train is improved effectively. Besides, the optimization speed is high and train energy consumption is reduced.

The invention belongs to the field of optical film system design, and relates to an optical film system optimization design method and a product. The method specifically comprises the following steps:firstly, calculating corresponding target evaluation function values after different material film layers are inserted into each part of an initial film system to insert a thin layer of the most suitable material into the most suitable position of the initial film system by using a cyclic traversal method; and optimizing the thickness of the newly obtained film system, and cyclically carrying outinsertion optimization process to optimize the obtained required film system. According to the invention, an unpolarized film system, an antireflection film system and a depolarization beam splittercan be designed and obtained; and compared with a current common Needle or an improvement method thereof, the method provided by the invention can optimize both a reflection polarization characteristic target and a transmission polarization characteristic target, and the optimization speed is extremely high under a certain condition.

The invention provides a disturbance-based intensity modulated arc therapy optimization method. Firstly an intensity modulated arc therapy optimization model is established according to conditions such as information on a target region and organs at risk, beam setting parameters and each organ dose (volume) constraint and hardware constraint; an initialized sub-field is obtained by using intensity distribution optimization. Then the shape of the sub-field is optimized by using disturbance, the weight of the sub-field is optimized by using a conjugate gradient method after determination of the shape, and finally the optimal solution for the intensity modulated arc therapy is optimized. According to the method, a mathematical model of an optimization problem is accurately established, the solving speed is high, the algorithm is stable and the robustness is strong.

The invention discloses a resistance simulation device for a wire-control steering test bed of an automobile. A piston rod of a load cylinder (1) is connected with a gear rack (3) of a steering executing mechanism of the automobile to act a lateral force on a rack mechanism (3) to simulate the ground lateral resistance stressed during the steering of the vehicle. An oil inlet and an oil outlet of the load cylinder (1) are connected with working oil ports A and B of an electromagnetic directional valve (5) respectively; the oil inlet P of the electromagnetic directional valve (5) is connected with the oil outlet of a main pump (10); the oil outlet of the main pump (10) is connected in parallel with an electromagnetic proportional overflow valve (12); the oil inlet of an overflow valve (7) is connected in parallel with an auxiliary pump (8); the oil inlets of the main pump (10) and the auxiliary pump (8) are connected with a filter (9); and a resistance simulation controller (6) is connected with the electromagnetic directional valve (5) and the electromagnetic proportional overflow valve (12) to output a current signal to the electromagnetic proportional overflow valve (12) so as to control the overflow pressure of the electromagnetic proportional overflow valve (12).