37 results about "Strategy development" patented technology

The present invention provides systems and methods for advertising campaign strategy development and optimization. Methods, systems, and apparatuses are provided for computerized optimization of advertising campaigns. Computerized methods and systems are provided that facilitate or automate optimization of advertising campaigns, including advertising campaigns or campaign components that use sponsored search result listings. Information relating to advertising campaigns and advertising campaign performance is collected from disparate sources, integrated, and utilized to facilitate determination of optimal ad campaign strategies as well as to facilitate management of ad campaigns and implementation of ad campaign strategies.

A computer-implemented simulator models the entire analytic value chain so that data generation, model fitting and strategy optimization are an integral part of the simulation. Data collection efforts, data mining algorithms, predictive modeling technologies and strategy development methodologies define the analytic value chain of a business operation: data→models→strategies→profit. Inputs to the simulator include consumer data and potential actions to be taken regarding a consumer or account. The invention maps what is known about a consumer or an account and the potential actions that the business can take on that consumer or account to potential future financial performance. After iteratively performing simulations using varying inputs, modeling the effect of the innovation on a profit model, the simulator outputs a prediction of the commercial value of an analytic innovation.

Certain examples provide systems, methods, and apparatus for patient care and care transition support. The example system includes a strategy development and simulation tool to analyze a patient care plan and transitions of care within the care plan to develop and analyze a strategy for the transitions of care within the care plan. The example system includes a discharge planning tool including predictive analytics to provide scenario-based planning and visualization to develop the care plan for patient discharge. The example system includes visual analytics to track and display progress of the patient against the care plan for the patient. The example system includes an outcome tracker to measure care plan efficacy to provide feedback for the patient care plan and future care plans.

A method, system and computer program product for strategy development and resource management for achieving a goal. The goal is divided into a plurality of first-generation sub-goals to form a goal hierarchy. At least one parameter is defined for the first-generation of sub-goals. The sub-goals are further divided into subsequent generations of sub-goals if the number of generations of sub-goals is less than a threshold value. A multi-level concentric representation of the goal hierarchy is created, based on the at least one parameter. The multi-level concentric representation is used for developing a strategy for achieving the goal.

The invention provides a hardware-in-the-loop simulation platform for energy management strategies of a plug-in hybrid electric vehicle. The hardware-in-the-loop simulation platform comprises a PC upper computer, a vehicle control unit, a line concentrator, a VT system real-time simulation system, CANoe software, MotoTune software, a brake pedal, an accelerator pedal and a key switch. According to the platform, the PC upper computer constructs a plug-in hybrid electric vehicle model through MATLAB/Simulink, and a real-time simulation core is generated; the real-time simulation core is downloaded to VTSystem by the CANoe software; a vehicle energy management strategy is established by MotoHawk software and is downloaded to the vehicle control unit by the MotoTune software. The PC upper computer monitors and evaluates the bus environment by the aid of the CANoe software. Compared with an existing hardware-in-the-loop simulation platform, the hardware-in-the-loop simulation platform has the advantages that the energy management strategy development efficiency of the plug-in hybrid electric vehicle is improved and the like.

The invention discloses a DG-included distribution network multi-fault multi-target combined optimization repair recovery strategy obtaining method, relating to the field of a power system. The distributed generation included distribution network multi-fault rapid repair and power supply recovery is a strategy with high properties of stage, hierarchy, and sequence. At present, most of researches of the distribution network fault repair recovery are carried out in a separate manner of single fault, single stage, and signal level, and fewer researches are carried on the multi-fault, staged, layered, and multi-target combined repair recovery optimization strategy development. The feed line in the DG included distribution network is equivalent to virtual DG, the controllable load alliance is carried out, and a network topology structure is updated; the multi-fault repair and recovery is subjected to staged and layered optimization model construction; and at the end, the combined optimization model is solved to obtain the optimal rapid repair recovery strategy. The strategy obtaining method has high practical value, shortens the power off time, reduces the power off loss, and improves the electric energy quality.

The invention discloses a quantitative investment strategy generating method and apparatus which relate to the financial investment technology field. The main purpose of the invention aims to solve the problem that in the prior art, users without coding ability or with limited strategy development acknowledge could not utilize an existing quantitative investment strategy platform. The main technical schemes of the invention are as follows: obtaining a plurality of information set data; according to the plurality of information set data, determining the reference models of a plurality of quantitative investment strategies corresponding to the plurality of information set data and a plurality of evaluation results corresponding to the reference models of the plurality of quantitative investment strategies; determining whether the plurality of information set data, the reference models of the plurality of quantitative investment strategies, the plurality of evaluation results and the quantitative investment strategies generated from a preset optimization algorithm are the quantitative investment strategies that meet the users' requirements or not; and if the answer is yes, then, outputting the quantitative investment strategies that meet the users' requirements to the users. The invention is used mainly for the generation of quantitative investment strategies.

The invention provides a service data security processing method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a data query request sent by a service system, with the query request comprising an identifier of the service system; acquiring a security policy corresponding to the service system according to the identifier of the service system; according to the security policy corresponding to the service system and the function of each preset security component, determining each target security component corresponding to the service system anda calling rule of each target security component; according to the calling rule of each target security component, calling each target security component in sequence to process the data inquired by the service system; and returning the processed data to the service system. According to the method, security components and the calling sequence required by data processing are determined according tothe security strategies corresponding to different service systems, corresponding security processing can be carried out on the data inquired by the different service systems, the security strategy development process is short, and the labor cost is low.

The invention discloses a predicting method of a flexible machining surface error of large disc mining cutter plane cutting, and relates to the field of prediction of the machining surface error. Thepredicting method comprises the following steps of building a single-step analysis standard finite element model, extracting an analysis file, building a main circulation analysis step to obtain a node position and an initial value of a flexible main circulation cutting force set, initializing a flexible main circulation finite element analysis model file to determine instantaneous cutting force of a subsidiary circulation cutting position, updating a subsidiary circulation finite element analysis model file, conducting finite element analysis, conducting flexible machining error calculation,judging whether subsidiary circulation of the flexible machining error calculation is converged or not, judging whether the cutting process is finished or not and conducting surface machining error point cloud processing to obtain a surface machining error cloud graph. By means of the method, after a large disc milling cutter is machined, the whole surface flexible machining error form can be simulated, the plane milling machining error forming mechanism of the large disc milling cutter is studied more comprehensively, and a prerequisite is provided for design of the machining process and control strategy development of the machining process.

The invention provides a modular quantization system and an execution method thereof, and electronic equipment, the quantization system comprises: a functional strategy module used for obtaining strategy components, wherein the functional strategy module comprises a dynamic strategy module and a visualization flow module, and the strategy components comprise a preset dynamic strategy component anda visualization flow component; a risk monitoring module which is used for acquiring preset risk monitoring elements; a back test module which is used for communicating the strategy components to form a strategy model according to the preset risk monitoring elements, and executing the strategy model to carry out back test, wherein the strategy model can feed back a back test result related to therisk monitoring element. By implementing visual modularization on conventional operation logic and implementing autonomous development on non-conventional operation logic, zero-coding or low-coding of strategy development by strategy developers or/and users is realized by a modular tool, and a strategy model construction program is simplified, so that simplification, visualization and popularization of strategy model construction are realized.

The invention provides MATLAB simulation platform architecture based on automatic gearbox control strategy development. The MATLAB simulation platform architecture comprises an initialization module, a control module, an execution mechanism module, a vehicle module, a road identification module and a data output module. The architecture can faithfully reflect automatic speed changing situations of a vehicle, and the development requirements of the whole vehicle and a control system are met.

The invention provides an energy control terminal strategy file security reinforcement method and system. The method comprises the following steps: reading a CPU identification code of an energy control terminal for installing a strategy file and a pre-generated strategy file registration code; decrypting the strategy file registration code by using the CPU identification code to obtain a strategy authentication ID; and determining whether the energy control terminal is authorized to operate the strategy file or not by verifying the strategy authentication ID and a strategy file authentication ID which is pre-generated and stored on the terminal, wherein the strategy file registration code is generated based on the identity authentication ID corresponding to the strategy file and the CPU identification code of the strategy terminal. The copy operation problem of the strategy file in the energy control terminal equipment under the condition that the strategy file is not authorized is solved, the demand for strategy safety management and strategy development maximization decoupling is met, the risk of security authentication information leakage is reduced, and the probability that an authorization program stops service due to incapability of real-time online or authentication communication failure is reduced.

The invention discloses a local power generation and power supply experiment system comprising an electric vehicle. The system comprises a wind power generation unit, a photovoltaic generating grid-connected unit energy storage unit, an electric vehicle charge and discharge unit, a tertiary load, a load control apparatus, an artificial load, a PV simulator, a frequency converter, an AC grid-connected cabinet, an access cabinet, a central controller, interconnection switches, a cable and a bus. According to the invention, through the state of each interconnection switch, different operation modes and configuration modes of multiple local power generation and power supply experiment systems can be realized, correlation networking experiments can be carried out through the different operation modes, and the operation modes of the multiple local power generation and power supply experiment systems mainly comprise the following types: a local power generation and power supply experiment system single grid-connected mode, a grid-connected and island switching transient mode, a local power generation and power supply experiment system all grid-connected mode and a local power generation and power supply experiment system island mode. Important improvements are made from such aspects as diversity of types of distributed power sources and energy storage devices, flexibility of operation modes and networking modes, comprehensiveness of control strategy development, comprehensiveness of scientific experiment research and the like.

The invention discloses a steel strip slip simulation method and device for continuously variable transmissions. When the maximum torque which is currently and actually transmitted by a driving wheelis less than actually transmitted torque, relations between the linear velocity of a steel strip and the angular velocity and radius of the driving wheel need to be judged, so that whether the steel strip slips at the driving wheel can be determined; and processes to judge whether the steel strip slips at a driven wheel are similar. When the slip state of the current steel strip is judged, erroneous judgement of the slip states can be reduced by adding the analysis on the relations between the steel strip linear velocity and driving and driven wheels, so that situations of slip rate jump can be decreased, and the quality and efficiency of strategy simulation in control strategy development can be enhanced.

The invention discloses an intelligent investment advising system and relates to the field of financial systems. A strategy production engine of the intelligent investment advising system can converts multi-dimensional gene input to low-dimension genes so as to make output strategies as simple as possible. Therefore, a rule that the greatest truths are the simplest is followed in strategy development and risks of overfitting of generated strategies are reduced. In this way, unavoidable problems in volume production of intelligent investment advising strategies by utilizing black box algorithms such as depth learning and neural network are solved.

The invention discloses a quantitative investment strategy design and investment portfolio generation method based on machine learning, and relates to the technical field of intelligent finance. The method comprises the following steps: constructing an investment foundation framework model; obtaining basic strategy development information and importing the basic strategy development information into the investment basic framework model to obtain an initial quantitative investment strategy model; obtaining and counting user strategy design information in the investment network platform; analyzing the historical quantitative investment strategy information and the corresponding investment result; constructing a target quantitative investment strategy model; importing the credit information of the investor into a preset risk analysis model; importing the investment demand and the investment object risk information into the target quantitative investment strategy model to generate investment strategy design information; and generating investment portfolio information. According to the method, reasonable quantitative investment strategy design is carried out for investors in combination with investment data in multiple aspects, a comprehensive and accurate investment portfolio is generated, and comprehensive investment reference is provided for the investors.