32 results about "Single rule" patented technology

The invention relates to a new energy-contained interconnected power system load frequency two-dimensional cloud control method. According to the method, a control deviation (e) and a deviation changerate (ec) are used as a two-dimensional cloud front-piece generator, while PI parameter setting variables delta P and delta I are used as a one-dimensional cloud back-piece generator. In this way, adouble-condition and single-rule cloud generator suitable for load frequency control is formed. After that, a double-condition and multi-rule cloud generator is formed by a plurality of double-condition and single-rule cloud generators. The deviation and the deviation change rate of the control system are sampled through a two-dimensional cloud model controller. The setting values of PI parametersare output after the reasoning operation of the cloud model controller is carried out. A cloud model is used for achieving real-time optimization of load frequency control parameters under the condition that uncertain loads such as new energy are introduced. Therefore, the dynamic static quality and the robustness of load frequency control are effectively improved.

The invention provides a hidden affair increase and decrease method used for an association rule which belongs to the data mining and knowledge hidden field. The method combines a process for adding weak relative affair with a process for removing strong relative affair based on contribution degree of affair to the mining rule. The method needs not increase and decrease item, only needs to amend one item, and gives an adjusted factor for updating the affair amount with various size to analyse various hidden effect. An experiment with single rule hidden, multi-rule hidden and anti-support attack is carried out by using the method, the experiment result shows that if only the adjusted factor reaches 0.5, the hidden rate can be kept in 100%; in side effect, the rule loss rate and the rule increase rate are less than 15%; the method can fight back the support attack in large range, and when the adjusted factor reaches above 0.07, the hidden rate is kept in 100%. The method has little amending amount to a database affair, is suitable for random combination hidden with multi-rule, and has strong superiority in hidden effect, stability and practicability.

The invention provides a fundamental wave determining method for jacket platform frequency spectrum fatigue analysis. The method includes the steps that firstly, sea condition data are obtained; secondly, the sea condition data are processed; thirdly, wave spectra corresponding to sea conditions in all single directions are calculated; fourthly, the height of single rule waves of each sea condition and probability distribution of the cycle of the corresponding wave in each single direction are obtained; fifthly, the number of the single rule waves is calculated; sixthly, the heights of the same single rule waves and the numbers of the single rule waves of the corresponding wave cycles are accumulated, and a distribution histogram of the heights of the single rule waves, the wave cycles and the wave numbers is obtained; seventhly, the numbers of the single rule waves are expressed in a percentage mode according to the corresponding relation of the heights of the single rule waves and the number of the waves in each wave cycle, and the heights of the fundamental waves which exceed the percentage with the determined cycle are determined. According to the fundamental wave determining method for the jacket platform frequency spectrum fatigue analysis, a calculation result is not affected by the non-linear relationship between the heights of the ocean waves and wave force, and the accuracy of frequency spectrum fatigue analysis calculation is ensured.

The Integrated Router (IR) includes a first link connecting the IR to a telephone switch that receives Connection Oriented Switched Telephone (COST) calls and switches the call to a telephone set connected at the agent desk; a second direct link connecting the IR to to a data network telephony (DNT) processor capable of receiving DNT calls and switching DNT calls to a DNT interface device connected to the network at the agent station; an agent status database storing status and availability information of the agent station; and A control routine that directly monitors and controls the switch and processor via the first and second links; wherein the switch and processor report incoming calls directly to the IR, whether they are COST or DNT calls, and the IR directly controls the switch and processor at least The call is routed to available agent desks under a single rule set based in part on agent status and availability information received from the database.

The invention provides a packaging structure, a display panel, a display device and a manufacturing method; a plurality of metal fringing and insulation grooves are arranged in the packaging structure, thus allowing an inorganic package layer to present diversity arrangement characteristics when growing on the metal layer edge, and preventing the single rule that no inorganic package layer grows in the existing method; the metal fringing and the insulation grooves are arranged, thus increasing water oxygen invasive resistances and an invasive path length, effectively blocking external water oxygen from invading the display panel, improving the packaging effect of the display panel, and prolonging the display panel service life.

The invention relates to an image fusion technology, in particular to a two-color medium wave infrared image transform domain multi-rule fusion method. The problems that an existing two-color medium infrared image infusion method cannot adapt to requirements of exploring dynamic changes and cannot directly be achieved in a two-color medium wave imager due to adoption of a single fusion rule are solved. An infrared medium wave is divided into two wave bands including one of 3.4-4.1 micrometers and the other of 4.5-5.3 micrometers, and then the following steps are conducted: carrying out support transformation on two subdivision wave band images respectively, obtaining a low-frequency image and a support sequence image, combining a low-frequency image at the last layer through the single rule, fusing the combined image through a fuzzy subordinate function, combining the support sequence image through the single rule firstly, and then combining the combined image through the fuzzy subordinate function again, and fusing the combined low-frequency image and the combined support image through a support transformation method. The two-color medium wave infrared image transform domain multi-rule fusion method is achieved on a field programmable gate array (FPGA) and a chip of a digital signal processor (DSP) or a single FPGA chip, and chips can be easily embedded into the two-color medium wave imager.

The invention discloses a data sheet inspection method and device. The method comprises the steps of acquiring a combined rule of a data sheet; splitting the combined rule into N single rules, wherein N>=1, and each single rule comprises a part rule; calling a function corresponding to the part rule of each single rule one by one from a preconfigured part rule base; inspecting the data in the data sheet according to the functions of the part rules. By the adoption of the embodiment, data sheet inspection efficiency and accuracy can be improved.

The invention discloses a rule editing method, a terminal device and a storage medium. The rule editing method comprises the following steps of receiving an insurance type identifier inputted by a user, displaying a rule editing page corresponding to the insurance type identifier, receiving the rule contents inputted by the user in a first editing area in real time, and recording a first number ofthe data elements contained in the received rule contents; when the first number reaches a preset number, detecting whether the last data element receiving the rule content is a preset data element or not; and when the last data element is the preset data element, creating a second editing area in the rule editing page, and transferring the next data element of the preset data element into the second editing area to realize the automatic line switching of rule content editing. According to the present invention, the rule content is split into the plurality of editing areas, so that the content of a single rule is reduced, the rule logic is clear, a user can understand the rule content conveniently, and the possibility of misoperation is reduced.

The invention relates to the technical field of encapsulating equipment in particular to an intelligent high-speed film edge sealing machine. The intelligent high-speed film edge sealing machine comprises a frame body, a single rule separation mechanism, a page lifting mechanism, a single page separation throwing mechanism, a labeling mechanism, a code spraying mechanism, a card sorting mechanism and a sealing mechanism, wherein the single rule separation mechanism, the page lifting mechanism, the single page separation throwing mechanism, the labeling mechanism, the code spraying mechanism, the card sorting mechanism and the sealing mechanism are arranged on the frame body from one end to the other end and uniformly controlled by a PLC (Programmable Logic Controller), so that the reasonable cooperation of all procedures is ensured, and actions are unique, and mutual restriction among multiple equipment is avoided; in cooperation of multiple functions, a customer can carry out flexible collocation of the multiple functions according to own actual needs to meet demands more intimately. Furthermore, the edge sealing machine has the function of externally hanging a shrinking machine and a stacking machine to further expand customer needs.

The invention discloses a rule matching method and device, which are used for splitting rule sets according to a logical relationship so as to reduce the scale of a state machine generated by a single rule set, reduce memory occupation and improve the rule matching performance and matching speed. The method comprises the following steps: determining a pattern string contained in at least one rule in a rule set; spliting the rule set into a plurality of subsets, wherein, at least one subset comprises a first rule, and the first rule is a rule comprising at least one non-logical and relational pattern string, any subset comprises a second rule, and the second rule is a rule comprising at least one logic and relationship pattern string; and performing rule matching on the acquired flow data according to the rule contained in the subset.

The invention discloses an intelligent IT operation and maintenance system which comprises a plurality of custom processing modules, a fuzzy engine (110) and a brittle rule engine (100). The custom processing modules are used for processing selected fuzzy expressions; the fuzzy engine (110) is used for distributing the fuzzy expressions to a certain custom processing module; in the rule calculation process of a data set to be judged, the brittle rule engine (100) generates a call of the fuzzy engine (110) when meeting the fuzzy expressions. According to the intelligent IT operation and maintenance system, a single rule engine in the prior art is replaced by the structure that the custom processing modules are matched with the fuzzy engine and the brittle rule engine, the fuzzy rule processing capacity is improved, and custom modification is easier.

The embodiment of the invention discloses a data-driven clinical decision support system evaluation and optimization method and system, and relates to the technical field of artificial intelligence medical treatment. The method comprises the following steps of configuring a clinical decision support system, preparing real-world data, applying the clinical decision support system based on the real-world data, evaluating and optimizing a single rule set, and generating an evaluation report and an optimization plan. Accordingly, by using the real-world data, the clinical decision support system is evaluated and optimized from the perspectives of completeness, accuracy, consistency, and uncertainty of rules, the problems of knowledge stocks in the specific field in an existing clinical decision support system can be solved, the completeness of the rules is checked, contradictory rules are detected, rule conflicts are detected, the consistency of the rules is quantified, and the probabilitydescription of the rule uncertainty is achieved; the quality of knowledge is helped to be improved, and thus the decision support level of the clinical decision support system is improved.

The invention discloses a decision rule extraction method based on a rough set and attribute selection. The method comprises the following steps that: from an unselected attribute set, selecting a certain attribute through an existing mature attribute selection method, and then, updating a selected attribute set; utilizing the selected attribute set to extract a rule from the lower approximation of objects which are not covered with the unselected rule set; repeating the above steps until the objects in an approximation set are completely covered with the rule set; and finally, carrying out reduction on the rule set, and then, outputting the rule set. The method has the characteristics of a DRICA (Dual Regression Principal Component Analysis) algorithm and extracts the rule from the viewpoint of the attribute space; the method also has the advantages of an LEM2 (Learning from Examples Module, Version 2) algorithm, a single rule is subjected to reduction, and the rule set is integrally subjected to reduction; and in addition, an attribute selection method can be appointed, and the method is high in flexibility.