51results about How to "Reduce interdependence" patented technology

A dynamic generic framework for distributed tooling comprising a system for creating, storing and manipulating objects, which includes a datastore, a user interface and tools. In a distributed or client-server environment, a virtual datastore is created on the client, through which updates to the user interface and commands to the tools are routed. Commands and updates are transmitted asynchronously through handlers. The objects in the datastore are all of the same kind and have a predetermined generic or uniform attribute set. The schema is comprised of schema objects in the datastore which schema objects are dynamically created by the tools. The user interface perceives and comprehends the schema and utilizes the schema to identify and display objects in the datastore, the relationships therebetween, and the commands that can be executed thereon.

The invention discloses a vehicle-mounted control system with a domain control function and an upgrading method, and relates to the technical field of automotive electronics. The system compires a central domain controller and a display device, the display device is connected with the central domain controller through an LVDS interface; a vehicle-mounted electronic module is connected with the central domain controller through the Ethernet; and a gateway connected with the central domain controller through a CAN interface and the Ethernet, wherein the input signal processing unit receives andprocesses signals of the gateway and the vehicle-mounted electronic module, and then the output driving circuit unit sends the signals to corresponding display devices for display through an LVDS interface and sends the signals to the vehicle-mounted electronic module for execution through an Ethernet communication interface. Due to the fact that the central domain controller is introduced, vehicle-mounted electronic modules, display equipment and the like which can use the same interface and communication protocol are concentrated, the interface and the communication protocol can be degenerated, the mutual dependence between wire harnesses and parts is reduced, a vehicle-mounted control system of an automobile is safer, and the flexibility of the system is improved.

The invention provides an application software realization method and device as well as computer equipment, wherein the method comprises the following steps that an assembly assembler in main engineering receives service information transmitted from service logics in the main engineering; an encapsulation assembly corresponding to a service logic identification in the service information is determined by the assembly assembler according to the corresponding relationship of the preset service logic identification and the encapsulation assembly; in the process that the assembly assembler calls the corresponding assembly according to assembly calling information contained in the corresponding encapsulation assembly, service parameters in the service information are used as configuration parameters of the assembly, and the assembly belongs to sub engineering; the assembly assembler returns an operation result to the corresponding service logic. When the technical scheme provided by the invention is adopted, application software has the characteristics that the expansion is easy, the reconstitution is easy, the debugging is easy, the compilation speed is higher, and the like; the quality of the application software is finally improved.

The invention discloses an online monitoring and fault diagnosis system for an automobile engine. The system is composed of a state monitoring system and a fault diagnosis system. The state monitoringsystem consists of a signal measuring module, a signal processing module, a data collecting module and an industrial control computer; and the fault diagnosis system includes a real-time monitoring module, an alarm module, a fault diagnosis module, a fault prediction module, a self-learning module and a printing module. The online monitoring and fault diagnosis system for an automobile engine isdesigned and erected. With fuzzy control and an expert system, the fault of an engine is analyzed systematically; a fault cause can be found out quickly and accurately; a problem processing efficiencyis improved; and the maintenance time is saved. On the basis of the modular structure design, the flexibility of the system is improved and interdependence between the layers is reduced.

The invention relates to a photovoltaic short-term output prediction system and method based on an XGBoost algorithm, and the system comprises a data mining unit and a secondary deep mining unit, andthe data mining unit comprises: a data preprocessing module which is used for preprocessing input feature data; a data set division modulefor dividing the input feature data preprocessed in the data preprocessing module into a plurality of data sets; and a secondary deep mining unit which comprises: a prediction module for carrying out the model training of a prediction model through the feature data and obtaining a trained prediction model, and a training module for carrying out photovoltaic short-term output prediction by utilizing the trained prediction model and outputting a prediction result including photovoltaic output power, wherein an XGBoost algorithm is adopted in the prediction model, and a CART tree is adopted as a base learner. Compared with the prior art, the method has theadvantages of high prediction algorithm efficiency, accurate prediction result and the like.

The invention discloses an APP modular development method, device and equipment based on iOS platform. The method comprises the following steps of: dividing interaction among modules into three parts,namely data processing, routing processing and event monitoring; Data processing: carrying out data sharing and data transmission on each module; Routing processing, including processing page logic of each module; And event monitoring: carrying out module initialization and page monitoring. The modular development device comprises the middleware for realizing the method. The electronic equipmentcomprises a processor and a memory in communication connection with the processor, program instructions executed by the processor are stored in the memory, and the processor can execute the modular development method by calling the program instructions. According to the iOS platform-based APP modular development method, device and equipment provided by the invention, cyclic reference caused by intermodule code dependence can be avoided, and the consumption of a memory is reduced.

The invention discloses a multichannel animation demonstration method and system and a smart television. The method comprises the steps of after the smart television is started, judging whether a demonstration mode is triggered or not according to a demonstration animation switching state; and when it is detected that the demonstration mode is triggered, obtaining a demonstration animation and a playing parameter, controlling operation of a transparent background layer of an upper playing layer of a currently played television master image of the smart television, playing the demonstration animation on the transparent background layer according to the playing parameter, and controlling the current television master image to be continuously played on the playing image of the smart television. According to the method, the system and the smart television, the television master image of the television and a demonstration animation signal can be played at the same time; the television master image and the demonstration animation signal are operated at the same time and do not influence each other; the demonstration animation is watched, and moreover, the playing of the television image is not influenced; and the convenience is provided for a user.

The invention relates to a method for shortening the operation time of a remote control of an LCD TV production line, which comprises a special remote control transmitter for the production line, and an external remote control signal receiver, an infrared remote control signal detection module, a special remote control processing module for the production line, a user remote control processing module and a special remote control processing module for stopping the production line which are arranged on an LCD TV set; and the special remote control transmitter for the production line sends infrared signals to the LCD TV set in the form of special codes, the external remote control signal receiver receives and analyzes the infrared signals sent by the special remote control transmitter for the production line or the user remote control, the infrared remote control signal detection module judges to transfer the special remote control processing module for the production line, the user remote control processing module or the special remote control processing module for stopping the production line according to the received infrared signals, and the special remote control processing module for the production line is used for detecting the performance of corresponding items of the LCD TV set. The system is beneficial to simplifying the detection operation and shortening the performance detection operation time of the LCD TV set, is simple to operate and has good use effect.

The invention discloses a supporting platform for sealing large-span building roofs, which comprises a framework body and a steel cable net, wherein the framework body is formed by light beams (3) which are fixed and connected alternately and at intervals; the periphery of the framework body is supported and fixed on a girder (1); the steel cable net is formed by steel cables which pass through the light beams and are spaced, interlaced and extended; and clamping devices for integrating the steel cable net and the framework body are arranged on two sides of the steel cables passing through the light beams. With a flexible structure, the supporting platform has low mutual dependency and high strength and rigidity and can improve the earthquake resistance and safety coefficient of large-span building projects. The supporting platform is convenient to construct. The construction cost of the supporting platform is as low as less than 5,000 Yuan per square meter, which is much lower than the construction cost (40,000 Yuan / m<2>) of the conventional building project supporting platform with a span of 100 meters. The invention is mainly characterized by providing the supporting platform for supporting roof load and for use in roof construction in the sealing of large-span building project roofs and by solving the problem that the roofs of prop-free building projects with a large span of more than 100 meters cannot be sealed fully is solved.

A circuit (10) for reducing errors due to adjacent pixel interdependence in a liquid crystal display includes a decomposer (12) for dividing an input signal into a plurality of signals having at least a high brightness signal and at least one low brightness signal, a delay match circuit (14) for the high brightness signal to provide a delay high brightness signal, one or more transient conditioner circuits (16 and / or 18) for processing the at least one low brightness signal to provide at least one transient conditioned low brightness signal, and a combiner (20) for combining the delay matched high brightness signal with the at least one transient conditioned low brightness signal to provide an output signal having reduced sparkle artifacts.

The invention relates to a cloud computing method, especially a cloud computing method in the e-government field. The environment and physical platform deployed for each application has no relation therebetweeen. The method employs a virtual platform for management, thereby achieving the extension, transfer and backup of applications. The above operations are completed through virtualization hierarchy. The method achieves a purpose of extending the above applications through dynamic extended virtualization hierarchy. The method can achieve the virtualization of various type of IT resources, and achieves the unified management of the IT resources in a cloud computing platform. The method dynamically distributes resources and adjusts loads. Being different from conventional computing taking a PC as the center, the cloud computing enables the computing resources and data resources to be distributed on a large number of distributed computers, thereby enabling the computing and storage to be greatly extended, and bringing various access modes to a user. The method enlarges the space for the technical progress of the field, and is good in implementation effect.

A method and circuit for implementing enhanced scan data testing with decreased scan data interdependence for compressed patterns in on product multiple input signature register (OPMISR) testing through scan skewing, and a design structure on which the subject circuit resides are provided. The circuit is divided into multiple chiplets. Each chiplet includes a stump mux structure including multiple stump muxes connected in series, and a respective chiplet select is provided on shared scan inputs to respective chiplets. The chiplet select gates scan clocks, and when a chiplet is not selected the chiplet retains its data. The chiplet select enables test data to be skewed as scan data enters each chiplet.

The invention discloses a myoelectric neck massage device and a control method. The myoelectric neck massage device has a system which comprises: a myoelectric bracelet, which is used for collecting and processing a myoelectric signal, generating a control instruction and transmitting the control instruction to a neck massage unit; and the neck massage unit, which is used for receiving the controlinstruction and completing actions, and comprises a control part and a peripheral part, wherein the control part is nested in the peripheral part. According to a scheme of the invention, the myoelectric neck massage device comprises the myoelectric bracelet and the neck massage unit; the myoelectric bracelet collects, processes and judges the myoelectric signal to form a corresponding instruction; the massage device main body part of the neck massage unit controls different operations according to a received instruction; the myoelectric bracelet and the massage device main body part work independently, only control communication of an instruction, and are small in mutual interference and influence and low in mutual dependency; and the myoelectric neck massage device is convenient to use and wide in applicability, and can be widely applied to the technical field of bioelectric signal acquisition and processing.

The invention discloses a CNN-ARX model-based linear primary inverted pendulum system modeling method and a CNN-ARX model-based linear primary inverted pendulum system modeling model. An inverted pendulum is a relatively complex system with strong nonlinearity and instability, an accurate mechanism mathematical model of the system is difficult to obtain, and dynamic characteristics of the system can be described by adopting the CNN-ARX model. According to the invention, a convolutional neural network (CNN) technology, a local linearization method and a state-dependent ARX model are used to construct a CNN-ARX model structure; parameters of the convolutional neural network are optimized through an RMSprop algorithm, and the output of the convolutional neural network hidden layer is randomlyreturned to zero by adopting a random inactivation technology (dropout), so that the interdependence between nodes is reduced, and the risk of model over-fitting is reduced. According to the method,the prediction precision and robustness of the inverted pendulum system identification model can be improved, and the method has relatively high practical value and application prospect.

The invention discloses a national financing platform supervision system and method based on comparison rules, and the system comprises a data service module, an image recognition module, a data comparison module, and a comparison abnormality alarm module. The data service module is used for processing the transaction data of each commercial bank system and a first debt comprehensive supervision platform; wherein the image recognition module is used for recognizing and classifying certificate pictures uploaded by a user, the data comparison module is used for comparing transaction data filledby all commercial bank systems, a first debt comprehensive supervision platform and the user, and the comparison abnormality alarm module is used for presenting to a user in an alarm form according toabnormities generated by the data comparison module. The system is scientific and reasonable, is safe and convenient to use, is provided with the data comparison module and the comparison abnormalityalarm module, and can timely discover the filling errors and risk hidden troubles of the debt platform.

The invention relates to the technical field of logistics, and provides a vehicle and goods matching search system and method, computer equipment and a storage medium. The vehicle and goods matching search system comprises a search server cluster used for responding to a plurality of search requests, obtaining search conditions carried by each search request through an analysis component, and calling a search engine through an index component; the docking server cluster is used for distributing the search requests to the corresponding search engine clusters at least according to the data sources and the search conditions of the search requests; and each search engine cluster is used for obtaining matched vehicle source information or goods source information from the corresponding data source according to the corresponding search request, forming a search result of each search request and returning the search result to the search server cluster. Logic abstraction and service splittingof the vehicle-goods matching search system can be realized, the search request is quickly responded, the functional components are flexibly configured, and the overall research and development efficiency is improved.

A monitoring system is constructed using a framework 1 described by an object-oriented language. The framework 1 includes a model part 10 for holding data relating to an external apparatus serving as an object to be monitored, a view part 20 provided between the monitoring system and a user, a proxy part 40 for exchanging data between the monitoring system and the external apparatus in accordance with a predetermined protocol, and a controller part 30. The controller part 30 controls data of the model part 10, and connects the model part 10 with the view part 20 to provide various services for the external apparatus on the basis of data which are given from the user or the external apparatus. The proxy part 40 converts communication data into a format of internal data which is handled in the monitoring system. Thus, it is possible to provide a service providing system capable of improving the stability of the architecture of a software against specification change and extension, and of improving the reusability and change facility of the software.

The invention relates to a service implementation method and device, computer equipment and a storage medium. The service implementation method includes: in the running process of the first service implementation class, when the first service implementation class needs to call a second service implementation class, obtaining a query field, wherein the query field comprises a target query parameterattribute name, service implementation class indication information and a service implementation class method name; obtaining a query parameter according to the target query parameter attribute namein the query field; when the service implementation class indication information is a service implementation class name, obtaining an object of the second service implementation class according to theservice implementation class name; and finally, performing querying according to the query parameter, the object of the second service implementation class and the service implementation class methodindicated by the service implementation class method name to obtain a return value. According to the service implementation method provided by the invention, the dependency relationship between service implementation classes can be reduced, the coupling degree between codes is reduced, and the maintenance cost is further reduced.

A scanning probe microscope has a probe configured to move across the surface of a sample to be monitored. A scanner, to which the probe is mounted, moves the probe across the sample surface such that the probe is deflected in accordance with the structure of the sample surface. A beam system directs a light beam at the probe during the movement of the probe across the sample surface and a detector monitors the deflection of the probe using the light beam. The arrangement is such that the scanner is physically independent of the beam system.

The invention discloses a coal gangue classification and recognition method and process based on image enhancement and deep learning, belongs to the field of computer vision and image processing, and particularly relates to a coal gangue classification and recognition method. The method comprises the steps of collecting coal and gangue images and performing image enhancement processing, making a data set for the coal and gangue images subjected to the coal and gangue image enhancement processing, building and improving a LeNet network, training the obtained data set, and obtaining a coal and gangue classification and recognition result model through neural network training; according to the method, the difference of the coal and gangue images is increased by performing image enhancement processing on the collected original coal and gangue images, and the convolutional neural network in deep learning is combined, so that the coal and gangue classification and recognition accuracy is greatly improved, and the problem that the existing coal and gangue recognition accuracy is low at present is solved.

The invention discloses a medical data classification and grading method, computer equipment and a storage medium. The method comprises the steps of medical data preprocessing: performing word segmentation, filtering and word bag processing on medical data; word vector extraction: performing word vectorization on the preprocessed medical data, namely mapping the preprocessed medical data into word vectors, and constructing a word vector corpus according to the generated word vectors; constructing a classification model: inputting the word vectors in the word vector corpus to a TextCNN model for training; and classification and classification prediction: calling the trained TextCNN model to calculate the classification and classification probability of the to-be-classified medical data, and outputting a classification and classification result. According to the method, the problem of low accuracy of a medical data classification result caused by data sparsity and huge dimension can be well solved.

The invention discloses a method and a system for calculating group discounts in real time based on individuals, and relates to the field of telecommunication charging. The method comprises the following steps: acquiring consumption information of a first group user, wherein the first group user is any group user in all group users; obtaining the intra-group accumulated bill of the first group ofusers according to the consumption information; reading group accumulation bills of all the group users, and calculating group discounts according to preset group discount conditions and the group accumulation bills of all the group users; according to the proportion of the intra-group accumulated bills of the first group user in the group accumulated bills of all the group users and the group discounts, obtaining the apportionment discount result of the first group user; and updating the bills discounted by the first group of users according to the sharing discount result of the first group of users. Through the scheme, the dependence links of the processing flow for calculating the group discount are reduced, and meanwhile, the mode of sharing the usage amount is introduced into the real-time discount calculation, so that the habit of checking the cost by the user is better met.

The invention belongs to the technical field of automobile engine manufacturing, and particularly relates to an air-blowing vibrator. The air-blowing vibrator comprises a machine body frame, a lower jacking structure of a conveying line body, an overturning translation structure, an air-blowing vibration structure and an air-blowing vibration jacking structure, wherein the machine body frame stretches across the workpiece conveying line body, and the lower jacking structure of the conveying line body is located below the workpiece conveying line body, and is used for taking out a workpiece. The overturning translation structure is arranged at the upper part of the machine body frame and used for taking away and transferring the workpiece. The air blowing vibrating structure is arranged beside the workpiece conveying line body, in the machine body framework. The machine body frame provides a platform for placing the air-blowing vibration structure. The air-blowing vibration jacking structure is arranged on a special platform of the machine body frame, and the air-blowing vibration jacking structure is embedded in the air-blowing vibration structure. According to the air-blowing vibrator, the problem that the overturning translation structure is tedious is solved, the mutual correlation of workpiece connection and overturning translation is reduced, the stability of the overturning translation is enhanced, and the relative position precision of the connection and vibration positioning is improved.

The invention relates to a ship data acquisition device and a method thereof. The device comprises device assemblies, an application assembly and a system framework, wherein the device assemblies correspond to a data device and are exploited in a configuration mode, are connected to the data device in a communication mode through a general interface structure and are used for collecting data; the application assembly is exploited independently and is used for processing the collected data; the system framework is connected to the device assemblies through a device assembly interface and is connected to the application assembly through an application assembly interface. The system framework receives data collected by all the device assemblies and transmits the received and collected data to the corresponding application assembly so as to carry out corresponding processing. The assembly-type system framework is used, a good modularization structure is possessed and scalability is high. And each function assembly is exploited independently and does not have dependency. A function assembly is modified and normal operation of the other function assemblies is not influenced. Maintenance difficulty of a system is reduced. A general interface protocol and a general interface structure are used and the device and the method are suitable for a plurality of ship device interfaces.

The invention relates to a hydroelectric generating set vibration trend prediction method. The method comprises the steps of obtaining a sample data set of hydroelectric generating set vibration monitoring data, analyzing the vibration monitoring data, drawing a relation coordinate graph of a to-be-predicted vibration parameter or throw parameter and other related parameters, and determining candidate characteristic parameters; a CMI-SAL prediction model is established; and screening unit key equipment vibration related working condition parameters through a condition mutual information method module. The method has the beneficial effects that the input characteristics are screened by applying a conditional mutual information correlation analysis method, two or more vibration variables can be analyzed, the relevance and correlation among the variables can be judged, the over-redundancy defect is overcome on the basis of a mutual information method, and the prediction efficiency is improved; by applying a sliding window and a maximum pooling method and adopting a convolutional layer, the order of magnitude scale of input data can be reduced, a local maximum value is extracted from input features, the number of trainable parameters is reduced, and the data robustness and the operation speed of the model are improved.

The invention discloses an integrated management and control system for PE pipe welding data which comprises a user layer, an application layer and a bundled layer as well as an intelligent data acquisition terminal. The user layer consists mainly of the management on the personnel, equipment, projects, engineering, data analysis, data inquiry and reports. Through the gathering, statistics and analyzing of the acquired data, the construction and management over PE natural gas pipelines could be ensured forcibly. The application layer provides a unified organization and mechanical service and a unified code service so as to ensure the uniqueness of all users and the fundamental data as well as provides statistical analyzing services needed for the display of businesses at previous layer; at the same time, in order to make the system more expansive and more integrated, an enterprise service bus is provided. The data layer is mainly responsible for data acquisition, cleaning and storing. The intelligent data acquisition terminal acquires data from various welding devices and communicates with an automatic data acquisition platform to complete the two-way data exchange.