38 results about "Mutual dependency" patented technology

The invention discloses a method for scheduling ETL, comprising: determining the triggering mode, operation sequence and mutual dependency relationship of each subtask flow included in the task flow based on preset configuration file aiming at an optional task flow when implementing plural task flows included in the ETL scheduling; triggering corresponding subtask flows in turn according to the set triggering mode and implementing the triggered subtask flow according to set sequence, wherein after determining that at least a subtask flow is implemented, starting to implement other subtask flows depending on at least a subtask flow and other triggered subtasks based on the dependency relationship between subtask flows. Thus, subtask flow in each task flow has clear service logic and service function so as to effectively enhance the implementing efficiency of the ETL scheduling flow. The invention also discloses an apparatus for implementing ETL scheduling.

The invention discloses a remote sensing image super-resolution reconstruction method based on a convolutional neural network of channel attention. According to the method, a channel attention mechanism is introduced into the proposed convolutional neural network, and the characteristic expression capability of the network can be improved by utilizing the mutual dependency relationship among the characteristic channels. The method mainly comprises the following steps: designing and building a convolutional neural network model based on channel attention; Constructing a training sample by usinga smaller remote sensing database, and pre-training the deep convolutional neural network model constructed in the step 1; 2, when model training in the step 2 reaches convergence, a larger remote sensing database is added for fine adjustment, and the performance of the network is further improved; In the remote sensing image reconstruction stage, a low-resolution image is used as input, and themodel trained in the step 3 is used for reconstructing a final high-resolution image. According to the method, a better reconstruction effect can be obtained, and the method is an effective remote sensing image super-resolution reconstruction method.

The invention provides a data processing method for a data warehouse, which comprises: extracting original data from service systems and generating source system data tables; eliminating redundancy of the source system data tables, recording data histories and establishing historical data tables; establishing fact data tables to classify the data of the historical data tables; summarizing data of the fact data tables and establishing summarized data tables; counting index data among two or more summarized data tables, and establishing a statistic data table; based on the data of the fact data tables, the summarized data tables and the statistic data table, establishing an application data table. According to the data processing method for the data warehouse, which is provided by the invention, mutual dependency of tasks inside each level in a universal dimensional model layer is avoided, the parallel number of the tasks is maximized and computer resources can be effectively utilized, so that the data processing efficiency of the data warehouse is improved. The invention also provides a corresponding data processing system for the data warehouse, which can realize the data processing method, which is disclosed by the invention, for the data warehouse.

The invention provides a plug-in type software deployment method and an apparatus, and an application server. The method includes: receiving a request message of software deployment from a client; according to the request message, searching a plurality of plug-ins related to the request message of software deployment in a plug-in logic tree established according to the mutual dependency relation of the plug-ins; and sending scripts generated by the plurality of plug-ins obtained by searching to various to-be-deployed nodes, and feeding back results of software deployment of the to-be-deployed nodes to the client. In this way, the complicated software dependency relation is solved by employing the dependency relation between the software deployment plug-ins, and the convenience of the plug-in type software deployment is effectively improved.

The invention discloses a method and a device for realizing the hot plugging of application components. The method comprises the steps: a weak dependency component is mirrored into a memory, when theweak dependency component is updated, the updated weak dependency component is mirrored into the memory once again so as to obtain an updated corresponding mirror component, and when the weak dependency component needs to be invoked, the corresponding mirror component thereof is invoked; a strong dependency component is divided into different component groups according to the mutual dependency relationship thereof, different component groups are loaded to different application domains, when one strong dependency component is updated, the application domain corresponding to the component groupin which the strong dependency component is present is unloaded and the component group in which the updated strong dependency component is present is loaded into the newly-established application domain, and when the strong dependency component needs to be invoked, the strong dependency component is invoked in the application domain corresponding thereto. The technical solution of the method canimplement the hot plugging on the application components and, unlike the prior art, has no need of not only restarting IIS, but also interrupting the operation from a client.

The invention discloses a real-time monitoring optimizing configuration method for a smart phone. According to the method, a real-time monitoring optimizing configuration mechanism is established at a smart phone terminal, and device states and using and application characteristics of a user on the smart phone are monitored and then sent to a cloud server. An optimizing configuration rule sent by the cloud server is received, an optimizing configuration process is triggered when optimizing triggering conditions are met, and the running state and the device state of an application program are adjusted. The optimizing configuration process can be monitored and triggered in real time, the mutual dependency relations between the optimizing triggering conditions can be expressed, an effective support means can be provided for the complex optimizing configuration adjustment, and real-time personalized customization and optimizing configuration of the smart phone terminal are achieved. Therefore, waste of resources is reduced, system efficiency is improved, user experience is optimized, and the real-time monitoring optimizing configuration method has good market prospects and application value.

The invention relates to the field of the computer technology, and particularly to a service request processing method and apparatus used for solving the problems of relatively long processing time, and relatively low CPU utilization ratio in executing a service request in the prior art. An embodiment of the invention provides the service request processing method, comprising the steps of obtaining topological structural information of the received service request, wherein the topological structural information comprises dependency relationship information among service links corresponding to the service request; determining a service link set that can be subjected to parallel execution currently according to the topological structural information of the service request and the current processing progress for the service request, wherein the topological structural information comprises the dependency relationship information among the service links required when the service request is executed; the service link set comprises one service link or multiple service links without mutual dependency relationship; and performing parallel execution on the service links of the determined service link set.

The embodiment of the invention provides a method and device for deploying cloud service assemblies, relates to the field of ITs, and can solve the problems of slow deployment and low deployment efficiency due to a deployment order of manually appointed cloud service packs. The method comprises the following steps that: a server acquires a deployment message, wherein the deployment message comprises a cloud service pack identifier; the server acquires a key value of each of the cloud service assemblies included in a cloud service pack indicated by the cloud service pack identifier; the serverdetermines dependency relationships between the cloud service assemblies according to the key values; the server groups the cloud service assemblies according to the dependency relationships; and foreach group of cloud service assemblies, if the server determines that the cloud service assemblies in the group of cloud service assemblies do not have the mutual dependency relationships, the serverdeploys the cloud service assemblies in the group of cloud service assemblies in parallel. The embodiment of the invention is applied to a cloud service deploying scene.

The embodiment of the invention discloses a resource distribution method and device. The method comprises the following steps that: determining each resource demand side and resources to be distributed; obtaining the appointed business data of each resource demand side, and mutual dependency relationship data among all resource demand sides; according to the obtained appointed business data and the obtained dependency relationship data, determining the dependence value representation value of each resource demand side; and according to the dependence value representation value, distributing the resources to be distributed to each resource demand side. When the embodiment of the invention is utilized, the dependence value representation value can be used for measuring differences and dependence among different resource demand sides, and the resources to be distributed can be distributed on the basis of the dependence value representation value. The resource distribution method exhibits better applicability than the prior art.

The invention discloses a method and a terminal for publishing services in batches. The method comprises steps of by collecting data requested to be called among services and a dependency relationship, generating a service dependency graph, generating a release dependency directional diagram according to the received to-be-released service list and the service dependency relationship diagram, calculating a topological sequence of the release dependent directional diagram; According to the topological sequence release service, the problem that scripts fail when a plurality of services having mutual dependency relationships are tested and released can be avoided, the consistency of interface versions for calling the dependency services when the services are subjected to automatic testing isensured, and smooth release of batch services is realized.

The invention provides a method for arranging an operational project sequence, which comprises the following steps of: determining mutual dependency relationship among a plurality of operational projects in a project and obtaining an oriented graph according to the dependency relationship; determining whether the oriented graph is an oriented acyclic graph or not, and if so, using a topological sorting method for carrying topological sorting to the oriented acyclic graph; and arranging a sequence among a plurality of operational projects after the topological sorting into a sequence among a plurality of operational projects in the project. The invention also provides a device for arranging the operational project sequence. According to the method and the device for arranging the operational project sequence, the problem of miscalculation which is further caused by closed-loop logical relationship in a plurality of operational projects during the process of system setting can be effectively avoided; and by adopting the method, the invention can obtain the operational project sequence correctly.

The invention provides a mobile application program user interface error automatic detection method, which comprises the following steps of obtaining the hierarchical relationship among the controls in an interface screenshot and the node information of each control to form an original data set; establishing a single control error classification model, and performing error detection on the text control and the image control by utilizing the single control error classification model; describing the relative position relationship, the symbiotic relationship and the mutual dependency relationshipamong the control pairs, and generating a relationship assertion table among the control pairs; and performing control error detection on the newly acquired interface screenshot by using the model and the assertion table. The invention also provides a detection system and a terminal. According to the present invention, the UI control errors existing in the APP are effectively positioned, the detection model is continuously optimized according to the detection result, the error detection efficiency is improved, and the human and worker cost is greatly reduced. The method can be widely appliedto the mobile application program UI testing, and an efficient and available automatic UI error detection method is provided for the development and testing of the mobile application program.

The invention is applicable to the technical field of geographic information, and provides a regional attraction assessment method and device. The regional attraction assessment method comprises the steps: obtaining sign-in data generated when a user signs in through a target social application; clustering the sign-in data to obtain region of interest information; counting the number of the sign-in places contained in each interest area based on the place identifiers of the sign-in places in the interest area and the position information of the sign-in places; constructing an access model based on the interest area information; and based on the number of the sign-in places and the access model, determining attraction assessment information of the interest area. According to the scheme, theattraction assessment information of the interest area is determined based on the sign-in data, and the mutual dependency relationship between the user experience and the interest area attraction, the space area and other comprehensive factors are comprehensively considered, and the accurate attraction assessment information of the interest area is obtained.

The invention belongs to the technical field of enterprise incubation management equipment, and particularly relates to a park associated enterprise incubation management system. The system comprisesan application module, an approval module and a management module. The application module is used for providing a platform for enterprises needing to apply for parking. wherein the management module is used for supplying enterprise data counted by the management module to the application module for screening and distribution, the approval module is used for approval of transactions in a park, theapproval module is used for approval of the transactions, distributed by the application module, during operation of an enterprise, and the management module comprises a statistics unit, an industrialchain unit and a time scheduling unit; the industrial chain in the park is analyzed by arranging the management module and the industrial chain unit in the management module, missing links on the industrial chain are determined, then the missing links are issued to the application module, accessible enterprises are determined, construction of the whole industrial chain is completed, a mutual dependency relationship can be formed between the interiors of the industrial chain, and normal incubation of the enterprises is guaranteed.

A Petri net that corresponds to the mathematical model is determined and the Petri net includes the domination relationships and mutual dependency relationships between individual alarms. The Petri net is analyzed to determine a set of construction rules. The construction rules define an approach to reduce the number of alarms presented to an operator or a computer program.

A method for fault tree analysis of a technical system, which includes a plurality of functional units, the technical system being modeled as a tree-like logical linkage of causative events, which may culminate in an undesirable event, and the causative events including malfunctions of individual functional units, a tree-like logical linkage having a self-similar structure being selected. An associated computer program is described. A surroundings detection system and/or a control system for an at least partially automated driving vehicle, including a plurality of functional units having mutual dependencies, which link the functional units in a tree-like structure in such a way that an undesirable event occurs if a logical linkage of causative events is true, the causative events including malfunctions of individual functional units, the tree-like structure being self-similar.

A method and engine for identifying events in a sensor signal using rate-dependent feature sets couples trial event identifications made using different rate-dependent feature sets with rate-dependent quality assessments to overcome the mutual dependency of event attributes and the rate of events. The quality assessments compare event identifications made at different rates against quality benchmarks for event identifications at those rates, such as event stability benchmarks, to determine which feature sets are producing reliable event identifications and which are not. The invention enables electronic monitoring devices to make improved event identifications by accepting identifications made by presently reliable rate-dependent feature sets and rejecting those made by presently unreliable rate-dependent feature sets. In one application of the invention, the method and engine enable a respiration monitoring device to make improved respiration segment identifications.

Provided is a waste heat recovery type boiled drinking water electric heater capable of utilizing boiled water waste heat. Spiral tube heat exchange devices are arranged in 2/3 spaces of the lower portions of containers A and B with the same structures, one end of each spiral tube is connected with a tap water outlet, the other end of each spiral tube extends into the other container, a tap water electric valve is turned on while hot water in on container is boiled, tap water with lower temperature flows into the spiral tubes and flows out of the other container, and the two containers sequentially perform the same working process. The 1/3 boiled water space of the upper portion of each container is not cooled and keeps high temperature, the density of cooled low-temperature boiled water at the lower portion of each container is larger than that of the high-temperature boiled water, and mixing and heat transfer between two portions are very small, so that the high-temperature boiled water and the low-temperature boiled water and the can be simultaneously drunk in the same container, waste heat utilization is achieved by utilizing mutual dependency relation between the containers A and B, and an energy waste phenomenon is decreased.

The invention discloses an analysis method and device based on a cucber test case, equipment and a storage medium. The method comprises the following steps: acquiring a case text defined by a user based on a business scene and a first case name input by the user, and determining a first test case currently used for a buffer test from the case text according to the first case name; performing feature extraction on the first test case, and obtaining a to-be-analyzed tag according to a feature extraction result; extracting label information from the to-be-analyzed label, obtaining a case dependency relationship according to the label information, and obtaining a second test case in mutual dependency association with the first test case according to the case dependency relationship; and analyzing the to-be-analyzed label, automatically registering an analysis result into the registry of the first test case, analyzing the second test case, and automatically registering an analysis result into the registry of the second test case. By means of the mode, multi-case correlation analysis can be achieved, and the analysis efficiency is improved.

The invention provides a sleep staging method and a sleep staging system based on nonlinear mutual dependency. The sleep staging method comprises the following steps: acquiring two electroencephalogram signals of a testee within a certain period of time; extracting a plurality of non-linear mutual dependence degrees between the two electroencephalogram signals and a cross correlation coefficient between the two electroencephalogram signals, and combining the non-linear mutual dependence degrees and the cross correlation coefficient into sleep features; and based on the sleep features, adopting a classifier to obtain the sleep stage of the testee in the period of time. Compared with a traditional linear method, more information can be provided, and the sleep staging accuracy is improved.

The invention provides a rule engine acceleration method and system based on thread-level speculative execution. The method comprises the following steps: starting at least two threads to execute a rule with conditional judgment dependence in parallel; directly submitting the execution result of each dependent rule to a memory, and temporarily submitting the execution result of each dependent ruleto a register file; after all the depended rules and all the dependency rules are executed, checking whether the conditions of all the dependency rules are met or not; if yes, submitting the execution result of the dependency rule to a memory; otherwise, abandoning the execution result which is temporarily submitted to the register file by the dependency rule. According to the method, the rules with the mutual dependency relationship can be executed by the rule engine in parallel, so that the execution time of the rule engine is remarkably shortened, and the effect of accelerating optimization is achieved.