60results about How to "Reasonable decision" patented technology

The invention provides an urban road traffic identification method and system based on elastic coefficients. The method comprises the steps that a traffic flow parameter model is built, a traffic flow elastic coefficient threshold value is preset, the traffic flow states are divided according to the elastic coefficient threshold value, real-time identification or predication of the traffic states of a target road is achieved through comparison of the traffic flow information and the traffic flow parameter threshold value, and therefore the interactive relation between traffic state parameters can be described in an quantized mode, the dependency relation between the traffic state changes and the changes of the influence factors of the traffic state changes is weighed, the method can be suitable for different roads and traffic conditions, the identification result facilitates accurate and reasonable decision making by a traffic signal control system.

A system and method are disclosed for one-stop shopping for health-care services and related needs. The one-stop shopping system and method provide objective information for the system enrollee to assess and decide on health-care insurance and services. The system and method provide this objective information in a way that is easily accessible by system enrollees in an economical and rapid manner.

The invention discloses a multi-objective reactive power optimization method for solving a Pareto optimal solution set. The method of the invention converts the problem into a problem of solving reactive power optimization containing two objective functions, boundary points of the two objective functions are respectively solved directly in a tangent method, an inequality constraint method is then adopted to solve Pareto frontier formed by the two objective functions, during the calculation process, algorithm for solving a single-objective reactive power optimization model adopts a primal dual interior point method, and a point for an initial value adopts a result of power flow calculation. The multi-objective reactive power optimization method for solving a Pareto optimal solution set has the advantages that optimization of multiple objectives is comprehensively considered during the reactive power optimization process, subjectivity generated when a single objective reactive power optimization model is built by other algorithms can be effectively avoided, the distribution condition of each objective function can be intuitively seen from the Pareto frontier surface, and a reasonable and reliable decision which can meet needs of system operation can be made conveniently by a decision maker.

The invention discloses a power grid dispatching dynamic capacity increasing evaluation method based on state multi-dimension comprehensive evaluation. The method includes the first step of establishing an available margin equation, in regard to transmission capacity of all lines in a load channel, of a total capacity increasing quantity deltaY, the second step of determining capacity increasing coefficients for all the lines in the load channel in consideration of the capacity increasing coefficient upper limit of through-flow equipment, the capacity increasing coefficient upper limit of a weather risk and the capacity increasing coefficient upper limit of a system abnormal risk, the third step of establishing the least square solution optimization model of the available margin equation, the fourth step of considering balance of capacity increasing load rates of the lines and setting capacity increasing coefficient initial values of the lines and the fifth step of obtaining actual capacity increasing coefficients of all the lines. The method is based on state monitoring parameters of power transmission and transformation equipment in the load channel, consideration is given to capacity limits of the power transmission and transformation equipment and health states and operational risks of the power transmission and transformation equipment, consideration is given to current moment evaluation and expected risk prediction, power grid dynamic capacity increasing evaluation and decision making can be more precise and reasonable, and the risks are lower.

The invention provides a cross-regional day-ahead spot goods automatic transaction strategy method, which comprises the following steps of: predicting the total clearing electric quantity of the wholenetwork of the next day by using a BP neural network on the basis of the historical clearing electric quantity of the whole network; predicting the next day tradable abandoned wind power according tothe historical power generation data of the centralized control system station side, the current day power generation and limit data of the wind power plant and the next day wind power prediction result in combination with the grid structure condition, respectively generating a next day 96-point quantity price curve of each station, and taking the tradable electric quantity as a basis for reporting the electric quantity; calculating the declared electricity price according to the ratio of the tradable electricity quantity of the station side to the whole network clearing electricity quantitypredicted next day and the historical clearing electricity price distribution; and automatically declaring the generated price curve to a power grid information interaction platform by utilizing a timing task in a transaction declaration effective time period. The invention further discloses a trans-regional day-ahead spot goods automatic transaction economy evaluation method, and the actual economic benefits of participating in the spot goods transaction are obtained.

A multi-smartcard may include: a support; a touchscreen disposed on the support configured to receive an input operation from a user including a first input operation and a second input operation; and a processor configured to generate a first user interface (UI) of card information corresponding to the input operation applied to the touchscreen and instruct the touch screen to display the first UI, and to receive the first and second input operations, wherein the processor is configured to change the card category in response to receiving the first input operation and change the card type in response to receiving the second input operation.

The invention provides a flexible employment management system and a module cooperation method thereof, and relates to the technical field of teacher management systems. The flexible employment management system comprises a system entrance, a system function module and a basic function module; the system entrance comprises a nail, a CHR system and a night queen; the nail is used for undertaking communication and message transmission between a manager and flexible employment and supporting online handling of personnel business; the CHR system is used for personnel management of flexible employment; and the night queen is used for being responsible for communication between flexible employment and users and collection of service data. According to the invention, a decoupling mode is adopted, the related partial business system is connected to the HR system, offline manual operation is reduced, and the accuracy and maintainability of data are improved, so that a manager can refer to partial key business data and make reasonable judgment and decision while performing personnel management.

The invention discloses a broadband user access method in a satellite network, which is used for deciding a broadband access request of a user according to the geographic position of the user, the priority of the user, the resource demand of the user and the residual resource of a beam by comparing the income of accessing a new user and the cost of kicking out an original user. The serving beam is used as much as possible according to the user position, the spare beam resource is saved, the weighted base number of the user priority and the cost benefit coefficient of the user are introduced, and the user distinction degree between different priorities is improved; and, according to the invention, the access benefit maximization is ensured according to the profit cost comparison, a simple first arrival first acquisition mode is abandoned, and parameters can be changed according to the scheduling system and the requirements of the user, so that the decision of accessing and kicking out the user is more reasonable.

The invention discloses a broadband user access method in a satellite network. According to the user's geographic location, user priority, user resource requirements and beam remaining resources, and by comparing the benefits of accessing new users and the cost of kicking out the original users, Decisions are made on user broadband access requests. The invention uses the serving beam as much as possible according to the user's location, saves the spare beam resources, and introduces the weighted base of the user's priority and the user's cost-benefit coefficient to improve the discrimination of users between different priorities; The cost comparison ensures that the benefit of access is maximized, and the simple first-come, first-served model is abandoned, and parameters can be changed according to the scheduling system and user needs, making the decision to access and kick out users more reasonable.

The present invention provides a treatment plan recommendation method and system based on the combination of expert authority and case reliability, which determines K similar historical case samples of the target case, and obtains doctor voting data for each of the K similar historical case samples And the final treatment plan, calculate the doctor's voting accuracy; sort the doctor's voting accuracy in the historical case samples, get the list of authoritative experts, calculate the degree of voting certainty according to the list of authoritative experts; calculate the reliability function for K similar historical case samples Value; Multiply the reliability function value of each historical case sample with the degree of certainty to obtain the final reliability of the case sample; use the DS evidence theory to combine the final reliability of each case sample, and select the treatment with the highest reliability program is recommended. Using this process to optimize the reliability of historical cases, and finally using the DS reliability combined with the model, and give the final decision results.