904results about How to "Avoid redundancy" patented technology

An automated electronic information backup, storage migration, and recovery system includes techniques for automatically observing all file events over a plurality of computing devices. The observed file events are mapped to the applications producing them. A relevancy of those file events are determined based on an application information repository. Business rules are produced based on this information to automatically backup all relevant file event changes and restore or migrate backed up information when necessary.

An ontology-driven information system includes a plurality of models, each of which expresses an aspect of a business domain using concepts and relationships between concepts. An ontology, which is in communication with each of the plurality of models, provides uniform definitions for the concepts and relationships between concepts used in the plurality of models. A method for executing an interaction flow model includes receiving an event and categorizing the received event. Once the event is categorized, a situation that matches the categorized received event is identified. One or more tasks are then executed for the situation. The execution of the one or more tasks can include either an interpretation of a model or the execution of a method of an object. The information system also includes a user and application interface and a reasoning engine that is in communication with the user and application interface. A knowledge manager is in communication with the user and application interface and is interfaced with the reasoning engine. A distributed information service also is in communication with the reasoning engine, the knowledge manager, and the user and application interface.

Methods, systems, and articles of manufacture consistent with the present invention eliminate data redundancies. A first data block identifier is obtained for a first data block, the first data block identifier being calculated based on data of the first data block. It is determined whether a second data block identifier matching the first data block identifier exists, the second data block identifier being calculated based on data of a second data block. When it is determined that the second data block identifier matching the first data block identifier exists, the first data block identifier is indicated as being is redundant.

The invention discloses a commendation method of personalized resource information based on scene information. The method comprises: pre-processing the web page of a synergic labeling system, storing the information of all labeling behaviors of a user according to the information of the labeling behaviors, wherein the information is extruded by a specific user and comprises labeled resource information, used tag information and labeled time information; generating grading data expressing user preferences according to the tag information that the user uses the resources in a database and the time information of the labeled resource; calculating the similarity among users based on the generated grading data expressing the user preference so as to determine that the users with similar interest are adjacent; commending the resource that is not labeled by the user to the users according to the adjacent preference information of the users to complete the commendation of synergic filtrated personalized resource. Experiments show that better personalized commendation service can be provided for the users through integrating the scene information.

The invention discloses a vehicle detection method based on a convolutional neural network. The method includes the step S1 of collecting vehicle samples and non-vehicle samples and classifying the vehicle samples, the step S2 of preprocessing the samples, the step S3 of training a CNN vehicle detector, the step S4 calculating an average similarity table of a characteristic pattern, the step S5 of constructing a similarity characteristic pattern set, the step S6 of obtaining a CNN-OP vehicle detector, the step S7 of obtaining detection images, the step S8 of preprocessing the obtained detection images, the step S9 of constructing an image pyramid for the detection images, the step S10 of extracting characteristics, the step S11 of scanning characteristic patterns, the step S12 of classifying the characteristics, and the step S13 of combining detection windows and conducting output. An offline optimization scheme is put forward, the convolutional neural network which is completely trained is optimized, the strategy of scanning the windows after extracting the characteristics is adopted at the detection stage, and therefore the characteristics are prevented from being repeatedly calculated, and the detection speed of the system is increased.

The invention discloses an indoor scene 3D reconstruction method based on Kinect and solves the technical problem of the real-time reconstruction of an indoor scene 3D model and avoidance of excessive redundant points. The method comprises steps of: obtaining the depth data of an object by using Kinect and de-nosing and down-sampling the depth data; obtaining the point cloud data of a current frame and calculating the vector normal of each point in the frame; using a TSDF algorithm to establish a global data cube, and using a ray casting algorithm to calculate predicted point cloud data; calculating a point cloud registration matrix by using an ICP algorithm and the predicted point cloud data, fusing the obtained point cloud data of each frame into the global data cube, and fusing the point cloud data frame by frame until a good fusion effect is obtained; rendering the point cloud data with an isosurface extraction algorithm and constructing the 3D model of the object. The method improves the registration speed and the registration precision, is fast in fusion speed and few in redundancy points, and can be used for real-time reconstruction of the indoor scene.

The invention discloses an intelligent word-group input method in input system, including get the portfolio information between at least two basic words from the pre-set internet corpus, which including the combination relationship and adjacent same frequency of (the least two) words; generate multi-table according to the portfolio information; receive the user input encoding string, and segment the encoding string; get the combination information in the multi-table according to segmentation string, and extract the words with the corresponding relations in combination information as the candidate words. The invention can improve the first selected words hit rate of user input words, phrases, short sentences or long sentences to avoid ineffective repeat calculation process to improve the efficiency of the user input.

A hierarchical data-compression method is described, with a compact form for sequences of consecutive tuples (and other techniques) to save space. A method for efficiently processing a subset of record fields is described. A flexible method for designing the data hierarchy (tree) is described.

The invention relates to a direct power-spectral method-based all-weather long drainage basin water quality monitoring and early-warning system, belonging to the technical field of water quality monitoring. The system comprises a plurality of water quality monitoring devices, a cloud data processing platform and a remote monitoring platform; the water quality monitoring devices are placed at a shoreside of a water body, a water surface buoy or other water surface platforms according to needs, used for extracting water quality data of the long drainage basin, use a direct power-spectral method to acquire an absorption spectrum of a monitored water body and sends the monitored data and water quality information to the cloud data processing platform in a wireless transmission manner; the cloud data processing platform summarizes and analyzes the received data and stores into a database; the remote monitoring platform inquires and displays the data stored in the database and realizes the real-time monitoring and early-warning for an all-weather long drainage basin water quality environment. The system can realize the online measuring, real-time monitoring, emergent early-warning, drainage basin analyzing and water environment monitoring of all weathers of the water body in the drainage basin, thus reducing the loss caused by pollution to the water body and ensuring drinking water safety.

The invention relates to the technical field of mobile internet application and development, and particularly relates to a system based on an SDK (Software Development Kit) for rapidly building a mobile internet application module. The system sequentially comprises a content displaying layer, an interface framework layer, a function module layer and a configuration management layer from the top to the bottom; by building an SDK module on the basis of an API uniform interface, the SDK module is encapsulated into an API which can be directly integrated to an objective and used in the mobile internet, so that the suitability, accuracy and robustness of the SDK can be ensured, and the system is suitable for rapidly and effectively deploying in mobile internet application. The invention further provides a method based on the SDK for rapidly building the mobile internet application module, the method is applied to the above system and comprises the following steps: firstly, the interfaces of the SDK are unified so as to build the SDK module with the API uniform interface, then the API of the SDK module is directly integrated to the objective and used in the mobile internet, so that the burdensome work of editing codes to SDKs with different versions is eliminated, the workload of mobile internet development is reduced, and the development efficiency is improved greatly.

The present application relates to an information pushing method, apparatus, computer device and storage medium based on large data analysis. The method comprises the following steps: obtaining the information to be pushed adapted to the user; Acquiring browsing behavior data of the user to the information, The browsing behavior data comprising a plurality of channel identifiers and a behavior description corresponding to each channel identifier; According to the behavior description, counting the browsing time length and browsing frequency corresponding to each of the channel identifiers; According to the browsing time length and the browsing frequency, selecting the channel identifier of the browsing channel customarily used by the user; sending the information to be pushed to the terminal corresponding to the user based on the channel identifier obtained by screening. The method can reduce the server resource occupancy.

The invention discloses a metadata management system with bidirectional interactive characteristics and an implementation method thereof. A metadata data extraction device extracts the metadata of all subsystems of an EDW to a metadata runtime library device, and a universal relational metadata model stores the metadata; a conventional bridge extracts the metadata of the relational metadata model to a metadata knowledge base device of an object metadata model to form analysis results for inquiry by a user; a database view supplies the needed metadata information to other subsystems. The invention uses a bidirectional metadata management system framework, can support the metadata extracted from other subsystems of the EDW to be stored into the metadata management system, and meanwhile, supports providing the needed metadata information to other subsystems of the EDW, solves the running management problem of the metadata and the EDW, reduces the management difficulty of the EDW, guarantees the accuracy of the metadata and causes the subsystems to efficiently communicate and stably run.

The invention discloses a smart factory-based multi-function data acquisition device, acquisition system and method. The acquisition device comprises a microprocessor as well as a power supply module, a 485 transceiver chip, a 232 transceiver chip, an IO signal conversion circuit and two Ethernet protocol stack chips which are connected with the microprocessor, wherein the 485 transceiver chip and the 232 transceiver chip are respectively provided with an RS-485 Interface and an RS-232 interface which are used for connecting external devices and acquiring device data, the Ethernet protocol stack chips are provided with Ethernet interfaces and are used for connecting upper computers or other acquisition devices and transmitting data, and the IO signal conversion circuit is provided with an IO port and is used for connecting external devices, acquiring signals or controlling the devices. The data acquisition device can be configured to a master station mode or a slave station mode, and is flexible in interfacing, and therefore, the data acquisition device can read data of field devices and scattered acquisition points more economically, conveniently and efficiently and provide complete and accurate bottom data for the establishment of a smart factory.

The invention discloses an edge caching system and method based on content popularity prediction. The method comprises the following steps that: (1) according to the historical request information ofa user, training the preference model of each user in a node coverage region offline; (2) when a request arrives, if requested contents are not in the presence in a cache region, on the basis of the preference model of the user, carrying out the on-line prediction of content popularity; (3) comparing a content popularity prediction value with the minimum value of the content popularity of the cache region, and making a corresponding caching decision; and (4) updating a content popularity value at a current moment, evaluating the preference model of the user, and determining whether the offlinelearning of the preference model of the user is started or not. By use of the method, an edge node can predict the content popularity online and track the change of the content popularity in real time, the corresponding caching decision is made on the basis of the predicted content popularity, so that the edge node is guaranteed to continuously cache hot contents, and a caching hit rate which approaches to an ideal caching method is obtained.