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.

A data storage and data backup device that offers automatic reduction of duplicate data storage, and that easily can be connected to computing devices, computing systems and networks of computing devices. The device offers high protection against destruction or modification of already stored data, and requires flipping a physical switch and possibly require user authentication in order for the protection to be temporarily bypassed. Several connection types of the device to the computer systems are supported such as wired, wireless like Bluetooth or WI-FI, but not limited to those.

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.

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 agricultural product supply chain traceability system based on the internet of things and a block chain. The system comprises an internet-of-things module for carrying out unified standard collection on body information and activity information corresponding to an agricultural product at all links of an agricultural product supply chain, a checking module for packaging the body information and activity information, collected by the internet-of-things module, of the agricultural product into blocks and carrying out information effectiveness verification, a block chain module for storing blocks with successful verification by the checking module, and a tracing module being connected with the block chain module and being used for information tracing. During the information collection process, data exchange and understanding of all links of a supply chain are realized conveniently by using a unified standard. The block chain module stores related data information of the agricultural product, so that the system becomes a decentration platform; and thus modification of the traceability system data is not affected by tampering of tracing information by any link of the supply chain, so that a tracing objective is achieved. Therefore, data security and reliability of the overall network of the agricultural product supply chain can be guaranteed.

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 present invention relates to a new type of module in which the floor of the module is integral with the ceiling placement upon the module below it. This invention also provides utilization of temperature top protection a module during shipment. This invention also relates to a construction method where the stabilizing structure for the building including stairs and hallways constructed first, and the module are constructed therein.

A method and apparatus for secure transparent backup and encryption of data including compression, elimination of redundant information, all working integrated whether data is stored locally or shared in networks. When data is shared in networks, several computers may access encrypted objects simultaneously with the same limitations as for non-encrypted objects. The method and apparatus can automatically and invisible take backups and can easily restore any object to the exact content as it existed for a selected point in time using a snapshot capability in combination with the user interface described that has its focus on making the use very easy for the end user. The invention offers security and performance enhancements when used with tables containing approved hashes for executables and other objects based on company policy and virus scanning. Specific objects may also be easily detected even if they are encrypted.

The invention discloses an integrated P2P (Peer-To-Peer) VOD (Video-On-Demand) system and a partner node selecting method. The invention adopts network topology comprising a directory server, a content server and client nodes, wherein the directory server searches nodes in a node list according to user VOD segment information in a request of a client node and returns a node list containing a search result, and the client node selects an optimal node according to the returned node list, sends a request for establishing a connection and uses the remaining nodes as spare father nodes. The methodcomprises the following steps of: receiving a node with a connection request, judging whether the condition for establishing the connection is allowable and establishing the connection with the requesting node and enabling the requesting node to start receiving video data if the condition for establishing the connection is allowable; reselecting from the spare father nodes if the connection is unsuccessfully established; and directly requesting to the content server for establishing a connection by the requesting client node if all the spare father nodes fail. According to the invention, the extendible network node topology can be constructed so that the system has rapid interrupt recovery capability.

The invention relates to a CDN and a scheduling method based on the content in the network. In the CDN, a GCM and an LCM are arranged to take charge of the uniform maintenance and management of the content distribution information and the content distribution strategy in the whole network. When the content required to access by a user is not hit on a POP node, the LCM of the POP node searches other stored POP nodes or OCS with the content and the proxy service is provided for the user.

System and method for determining differences and / or matches between a configuration diagram and an actual system. First information is received regarding a configuration diagram comprising a first plurality of nodes and graphically representing a first system, and second information is received regarding an actual system comprising a plurality components. At least a portion of the nodes may correspond to hardware devices, programs, and / or configuration data of the first system, and may be interconnected. The first and second information is analyzed to determine differences and / or matches between the configuration diagram and the actual system, e.g., between hardware, software, configuration, and / or connectivity, e.g., by traversing the configuration diagram or a data structure representing the diagram, and / or traversing the actual system or a data structure representing the actual system. An indication of the differences and / or matches is displayed on a display device, e.g., textually, or graphically, e.g., via a merged configuration diagram.

The invention provides a face recognition method capable of extracting multi-level image semantics based on the CNN (convolutional neural network). The method comprises the following steps: implementing further optimization on the basis of VGGNet, providing a new network structure, and implementing cross-level splicing on multi-level features to ensure that the finally-extracted image features have multi-level image semantics; and meanwhile, adding the extracted traditional features in the training of the CNN as additional features to ensure that the CNN feature information is more complete; then optimizing the structure of a shallow convolutional layer to ensure that the redundancy calculation is reduced and the calculation amount of models is greatly reduced; and finally, accelerating the convolutional layer by using an improved matrix decomposition algorithm to ensure that the network can be accelerated within 1 second and the accuracy rate of the models cannot be reduced when the speed-up ratio reaches four times. A face matching algorithm achieved by the invention has the characteristics of high accuracy and high real-time performance, and has higher accuracy and higher calculation efficiency compared with existing algorithms.

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.

A solar chargeable battery comprises a built-in photovoltaic array and a programmable battery charging circuit. The photovoltaic array provides a variable power source in response to light. The battery charging circuit receives the variable power source and operates in different modes to charge the battery over a range of lighting conditions. For example, the battery charging circuit charges the battery to a substantially fixed regulated voltage level in a first mode when a voltage level of the variable power source is above a predefined threshold. The battery charging circuit charges the battery to an adjustable regulated voltage level in a second mode when the voltage level of the variable power source is below the predefined threshold.

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 present invention relates to novel seed specific promoter regions. The present invention further provide methods of producing proteins and other products of interest and methods of controlling expression of nucleic acid sequences of interest using the seed specific promoter regions. The present invention also provides methods of identifying and isolating novel seed specific promoters.

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.

A gate driving circuit drives a plurality of gate lines arranged in a display panel. The gate driving circuit includes a shift register having at least two stages of shift register units, and a gate enable circuit. Each shift register unit includes a gate signal output terminal configured to output a gate signal. The gate enable circuit includes a plurality of gate enable units. Each gate enable unit corresponds to one of the shift register units and includes an input terminal connected to the gate signal output terminal of the corresponding shift register unit, an output terminal connected to a corresponding one of the gate lines, and an enable signal input terminal configured to receive an enable signal. Each gate enable unit is configured to selectively output the gate signal of the corresponding shift register unit to the corresponding gate line based on the state of the received enable signal.

A solar chargeable battery comprises a built-in photovoltaic array and a programmable battery charging circuit. The photovoltaic array provides a variable power source in response to light. The battery charging circuit receives the variable power source and operates in different modes to charge the battery over a range of lighting conditions. For example, the battery charging circuit charges the battery to a substantially fixed regulated voltage level in a first mode when a voltage level of the variable power source is above a predefined threshold. The battery charging circuit charges the battery to an adjustable regulated voltage level in a second mode when the voltage level of the variable power source is below the predefined threshold.

The invention provides a switching method used for a group monitoring user and a terminal thereof. The method comprises the following steps that the group monitoring user in an idle state acquires measurement control information and wireless resource configuration information from a system broadcast message; the group monitoring user in the idle state carries out measurement according to the acquired measurement control information and initiates radio resource control (RRC) connection establishment process when a measurement report needs to be reported; according to the acquired wireless resource configuration information, the group monitoring user in the idle state establishes RRC connection with a base station and the idle state is converted into a connected state; the group monitoring user in the connected state uses a switching process of the connected state to switch to a target cell when the switching is needed. By using the method and the terminal of the invention, the group user can be supported to carry out the effective and fast switching.