48 results about "Case model" patented technology

Disclosed is a method for pre-design estimation of coupling noise and avoidance of coupling noise failures in interconnects. An initial routing of a plurality of nets is estimated utilizing global paths. Then, the worst-case and average-case models for various parameters of each net are evaluated. With these models, a noise analysis is completed by which a determination is made whether coupling noise of any one of the nets is above a threshold level for noise-induced failure (i.e., a noise-failure threshold). When it is determined that the estimated coupling noise of a net falls below the noise-failure threshold, a response mechanism is triggered for later implementation during detailed routing of the nets to prevent the coupling noise from reaching the noise-failure threshold.

The invention provides a topology potential-based software requirement case priority sorting method, which comprises the following steps of: constructing and analyzing a software requirement case model to acquire a set of dependence between requirement cases; mapping the dependence between requirement cases in the acquired set into nodes and sides of a directed network model to construct a network topology; calculating the topology potential of all nodes in the constructed network topology; sorting all the nodes in the network topology according to the topology potential of the nodes; performing importance-based secondary priority sorting on requirement cases corresponding to the sorted nodes with the same topology potential; and outputting the sorted result in a visual mode. The prioritysorting method shields some subjective factors which influence the accuracy of the traditional requirement analysis, contributes to objectively evaluating the priority of the requirement cases, combines the contents of the requirement cases with the dependence between the requirement cases for analysis, and acquires more reasonable sorted result.

The invention discloses a pelvis CT three-dimensional reconstruction image postprocessing method based on a coordinate system and belongs to the medical image processing field. The method comprises the following steps of 101) collecting patient pelvis CT data; collecting pre-operation pelvis two-dimensional CT case data of a patient; 102) establishing a three-dimensional case model; using the case data, through three-dimensional reconstruction, acquiring a three-dimensional pelvis model of a case; 103) establishing the coordinate system in the three-dimensional pelvis model of the case; 104) acquiring a distance shift and a rotation shift of a pelvic fracture; and establishing a mathematic model in the coordinate system in the step 103), and accurately calculating distance shifts and rotation shifts of a fracture portion projected on X, Y and Z axes. By using the method, an orthopedist can conveniently, visually and accurately know a shift mode and a degree of the pelvis fracture of the patient and can accurately guide intraoperative reset for the patient.

A method of mapping a care plan template to a case model includes receiving a care plan template, extracting elements from the care plan template, wherein the elements correspond to a phase comprising at least one task and data attributes corresponding to the task, mapping the task of the care plan template to a task of the case model, mapping a precedence relationship of the task of the care plan template to preconditions of the task of the case model, mapping the data attributes of the care plan template to properties of the case model, wherein the properties are associated with the task of the case model, mapping the task of the care plan template to a role of the case model, and generating the case model including the mapped task, the mapped precedence relationship, the mapped data attributes, and the mapped role.

The invention discloses a method and a device for generating a combined test case, a storatge medium and a terminal, and relates to the technical field of software testing, which mainly aims at solving the problems that the mutual relation between parameters of an existing combined test case is uncertain, and a large number of invalid test cases can be generated for combined testing with neglectedconstraint conditions aiming at a large number of dependency relations and complex parameter relations between software. The method comprises the steps of establishing a combined test case model according to constraint conditions and parameter correlation; Describing the combined test case model through a preset description language, and configuring a parameter function for parameter calculationfor parameters in the described combined test case model; Generating a combined test case template and a parameter combination list according to the combined test case model of which the parameter function is configured; And loading the combined test case template and the parameter combination list, and operating the combined test case template and the parameter combination list to generate a combined test case.

The embodiment of the invention discloses a method and a device for generating test cases. The method comprises the steps that to-be-tested information is acquired, wherein the to-be-tested information comprises to-be-tested variables and a to-be-tested quantity corresponding to the to-be-tested variables; a target case model matched with the to-be-tested variables is found in a database accordingto the to-be-tested variables in the to-be-tested information; multiple service data sets relevant to the to-be-tested variables are acquired, and a to-be-controlled ratio is generated according to the total quantity of historical service bills in all the service data sets; and target historical data information relevant to the to-be-tested variables is acquired, and the test cases correspondingto the to-be-tested quantity are generated according to the target historical data information, the target case model, the to-be-tested quantity and the to-be-controlled ratio. By the adoption of themethod and the device, complicated manual operation can be avoided, and a large quantity of test cases can be quickly generated according to demands.

The invention discloses an optimization method for the wind-generation-set gear-case elastic support span. The optimization method includes the steps that 1, according to the initial parameter of a target wind generation set, a wind-generation-set transmission chain model containing a gear case model is set based on the many-body dynamics, and the initial parameter comprises an initial value of the span of a gear-case elastic support; 2, the value of the span in the wind-generation-set transmission chain model is continuously adjusted, and is subjected to modal and time domain analysis during adjusting every time, the potential resonant frequency obtained by modal and time domain analysis can be avoided after adjustment, and the adjusted wind-generation-set transmission chain model is output; 3, the value of the span in the adjusted wind-generation-set transmission chain model is continuously subjected to fine tuning optimization, the operating characteristic of a transmission chain in the wind-generation-set transmission chain model is best accordingly, and the best span value is obtained and output. By means of the optimization method, the resonance risk of the transmission chain can be avoided, and meanwhile the movement performance is best; the optimization method has the advantages of being simple in achieving method, reasonable in span design and high in optimization efficiency.

The invention discloses an enterprise business module modeling method. The method comprises the first step of obtaining original data related to an enterprise business, the second step of extracting an adaptive business module from a preset optimal practical case model base according to the original data and a module quantitative assessment index to obtain a primary business module model, and the step of utilizing a hot spot marking algorithm to carry out hot spot marking on the primary business module model according to the original data to obtain a business module model with a mark. Due to the fact that the step of selecting the adaptive business module and the step of carrying out the hot spot marking are carried out based on the related algorithms and the original data of enterprises, human factors, such as the experience of the people for modeling and the current mental state both of which interfere the modeling result, can be effectively avoided. By means of the method, the modeling result with strong subjectivity and accuracy can be provided. In addition, the invention further provides an enterprise business module modeling system.

The present invention relates to a method and a decision management system for simulating and analyzing one or more scenes of a communications network to be arranged. The decision management system simulates a communications network service deployment using business and technology changeable parameters, a base case model, a network cost model and a bandwidth model. The simulations may be performed for different sets of changeable parameters to generate multiple candidate solutions. These solutions are analyzed to identify a solution for deploying the communications network service.

The invention discloses a system and/or a method for enhancing meta-model creation. More specifically, the invention embodiments relate to one or more case models automatically creating a meta-model. In some embodiments, at least one model has the nodes, sides and diversity automatically detected. A primary meta-model is created by increasing one metaclass for each automatically detected node and side. Each increased metaclass side and at leat two increased metaclass nodes are connected through a first linking relation and a second linking relation. Whether there is a diversity relation is detected by judging whether the increased metaclass side is connected to the at least two increased metaclass nodes. The primary meta-model is improved or optimized. The diversity relation is then reduced.

The invention discloses a PDM (product data management) connection method and device for rapid design of a high-speed train. The method comprises steps as follows: a first database of a pedigree scheme design platform is converted into a second database, and a data format in the second database adopts an intermediate format; the second database is converted into a BOM table allowing to be recognized by a PDM system; a solid model is established by use of the BOM table; a unique material number and permission are generated according to the solid model and returned to the pedigree scheme design platform; information of the first database is updated by use of the unique material number and permission; the updated information of the first database is input into a product case model library. By means of the method and the device, the distortion problem of data information transmission between the pedigree design platform and the PDM system of an enterprise can be solved, collaborative operation of subsystems in a follow-up procedure is facilitated, synchronous update of data is realized, and the demands for rapid and efficient research and development of vehicles are met.

The invention provides a training method for simulating tooth plantation. The method includes the steps of acquiring CBCT data of jawbones, establishing a plantation model according to the CBCT data of jawbones, determining an area for plantation on a jawbone in the plantation model according to the established plantation model, determining a specific plantation position in the determined area for plantation, determining the planting position of a dental implant according to the specific plantation position, and simulating tooth plantation training. The training method is based on real patient cases, and is more close to real patients in from than a means by using a high-molecular simulation model and animal jawbone. The training method allows a trainee to be trained on a real case model.

The invention discloses a method and device for optimizing non-intrusive terminal identification capability test scheme, and belongs to the field of intelligent power utilization. The method comprisesthe following steps: solving a pre-constructed optimization model of ta non-intrusive terminal identification capability test scheme to acquire an optimized test scheme, creating a non-intruding terminal identification capability test scheme optimization model according to a matrix expression model obtained through pre-conversion, and acquiring the matrix expression model through conversion according to a pre-established case model in a residential electricity consumption scene case library; and applying the obtained optimized test scheme to a simulated detection platform of a non-intrudingterminal to generate a test report. The method is applied to the detection platform of the non-intruding terminal and the test scheme optimization realizes the optimization combination of test cases,so that the resident power utilization environment can be more closely simulated and demonstrated practically, and the objectivity and validity of the load identification capability test of the non-intruding terminal are improved.

The invention relates to a fault injection test scene case model and framework based on service arrangement. The case arrangement model describes a test case as a plurality of test flows composed of aplurality of test steps; the test steps and the test flows containing the special test logic are executed by calling the serviced test component, and the framework integrates an existing micro-service arrangement component and a serviced test tool on the basis of the arrangement model. After a user transmits a test case file described by the arrangement model to the test framework, an analyzer inthe test framework analyzes the test case into a workflow file and sends the workflow file to the micro-service arrangement component, and the micro-service arrangement component calls each test service according to the workflow file to execute the test case. Compared with the prior art, the method has the advantages of improving test efficiency, supporting special test logic service and the like.

The invention discloses a method and an apparatus for editing a tumor lesion of a blood vessel digital model. The method comprises the following steps: determining the position of a tumor selected on the blood vessel digital model; generating a virtual sphere with the position of the tumor selected on the blood vessel digital model as the center of the sphere and a radius of a hole at the intersection place between the tumor and the blood vessel digital model as the radius of the sphere; conducting collision detection between the virtual sphere and the blood vessel digital model to acquire all triangle surface patches which intersect with the virtual sphere; cutting all the triangle surface patches which interact with the virtual sphere with the virtual sphere to obtain a tumor hole; based on the radius of the tumor and vertex information on the tumor hole, conducting longitude and latitude sampling to generate a tumor network composed of the triangle surface patches. According to the invention, the method can add a tumor lesion at any position of the blood vessel digital model, greatly enriches case models available to the field of virtual operation, and is simple to operate and easily handled.

The invention relates to the technical field of artificial intelligence, and discloses an anti-fraud identification method and device based on big data, computer equipment and a storage medium, and the method comprises the steps: obtaining the user information of each user in a user group, the user information comprises a user identifier and an attribute feature set corresponding to the user identifier, and inputting the user identifier, the attribute feature set and a preset abnormal attribute feature set into a trained isolated forest model for abnormal recognition to obtain a high-risk user identifier, importing each piece of user information into a graph database, generating a graph model, and querying the high-risk user identifier on the basis of the graph model and a preset data query request. The method comprises the steps of obtaining a community sub-network with each high-risk user identifier as a center node, calculating the high-risk probability of each node in the community sub-network, carrying out feature extraction on the community sub-network based on a neural network to obtain sample data of each node, inputting the sample data and the high-risk probability into a logistic regression model for training to obtain an anti-fraud identification group case model, and carrying out fraud identification on the group case model. And the identification accuracy of the fraudulent group is improved.

The invention discloses a data processing method and device. The method comprises the steps that in an object database, a first object in a single case model is determined, wherein the first object in the single case model is globally unique, the first object is a single case entity and located in a first data structural layer of the object database; when a preset parameter is added to the first object, a second object corresponding to the preset parameter is created, wherein the second object is located on a second data structural layer of the object database; the data of the second object is processed, and processed data is obtained. By means of the data processing method and device, the technical problem that in the prior art, the data processing performance is poor is solved.

The invention discloses a teaching system, and particularly relates to a medical teaching system which comprises a medical pathology image acquisition platform, a pathology knowledge management system and a client, and integrates medical pathology knowledge, pathology data sources and case model data into a set of visual theoretical knowledge system, the set of visual theoretical knowledge system is visually presented on mobile clients such as mobile phones and tablet personal computers, students are helped to quickly construct a scientific and reasonable theoretical system in the brain, and the learning efficiency of medical staff is improved. The invention provides a novel teaching mode, learning can be performed anytime and anywhere through mobile clients such as mobile phones and tablet personal computers, the risk of crowd aggregation is reduced, the national prevention and control indication requirements on epidemic situations are met, and the development of the medical education career is powerfully promoted.

The invention belongs to the technical field of software development and software testing, and discloses a method for generating an automatic test case based on traffic recording, which comprises: 1, a step of recording the traffic of a tested system, acquiring http protocol elements of the traffic, and storing analyzed data in a database according to a self-defined format; 2, a step of case model design, namely a step of performing model design based on multiple scenes to establish a model library, playing back recorded traffic stored in a database, matching recorded user-defined format data of the http protocol elements with models in the model library, generating test scenes, and storing the test scenes as a test case set; and 3, a step of generating an automatic test script based on the test case set, reading out each test scene in the case set one by one, calling an automatic generation case function module, and automatically generating a test case script. The problem that scene verification is incomplete is solved, repeated execution can be achieved, and the authenticity and diversity of interface request data are saved.