40results about How to "Reduce storage redundancy" patented technology

The invention provides a data management method and device. The data management method can perform trajectory storage and querying by using a trajectory pattern extracted from lots of historical trajectories. The data management method includes: matching original trajectory points to a road network through a map matching method, and acquiring a trajectory set after map matching; determining a minimum support and a minimum road segment number corresponding to different road types according to training data; establishing a trajectory tree according to the trajectory set, and establishing a trajectory sub-tree with each node of the trajectory tree as a staring point, wherein the trajectory tree and the trajectory sub-trees include at least one node, and each node is an intersection of the road network; determining a trajectory pattern meeting the minimum support and the minimum road segment number, passing through each node according to the trajectory sub-trees; and performing redundancy elimination treatment on the trajectory pattern of each node, and generating a new trajectory pattern and storing the new trajectory pattern. The data management method and device can reduce trajectory storage redundancy, and can accelerate the trajectory querying speed.

The invention discloses a data fusion processing method for the dynamic time granularity of multiple traffic detection sources, and belongs to the technical field of urban traffic data analysis. The method comprises the following steps: detecting the data acquisition time interval to extract a time base; loading space information for detection data, and generalizing the data structure of traffic data; evaluating the data correlation degree, equipment data accuracy and environment influence degree of each detection source to obtain the credibility coefficient of the detection source; obtaining the time granularity application requirement based on dynamic changing and updating of location check-in data of a mobile terminal in a detection area; and carrying out traffic parameter fusion of the multiple detection sources according to the application requirement and the credibility of the detection sources. According to the invention, urban traffic data processing based on the traffic data acquired by a basic sensor and the location check-in data of the mobile terminal is in line with the development trend of big data, and the rate of dynamic data fusion according to the change of time granularity is effectively improved. The method has the advantages of quick operation getting and storage redundancy reduction.

The invention discloses a call data processing method and device for service call, electronic equipment and a storage medium. The invention relates to the technical field of information, in particularto service calling and belongs to the technical field of frameworks for searching. The call data processing method for service call comprises the following steps: receiving a request context for a current node from a father node, wherein the request context comprises a request identifier ID and a calling ID of the father node for calling the node; sending a request context for the child node to the child node, and the request context for the child node comprises the request ID and a child calling ID of the child node called by the node, wherein the child-calling ID is generated according to the calling ID and a calling address of a child-node called by the node; and storing the request ID, the calling ID and the calling address.

The invention discloses a medical data management system based on a block chain. The system is used for solving the problems that an existing medical data management system does not screen medical data, and though data are found, the data quality is poor, the medical data are not reasonably stored, and storage redundancy of storage nodes of a block chain is not reduced. The system comprises a medical data acquisition module, a data encryption module, a node distribution module, a server, a node acquisition module and a block chain node module. According to the method, medical data is screenedthrough node storage values, so that the data with relatively high quality in the medical data is selected and stored; by acquiring and analyzing information of a block chain storage node to obtain acoincidence value of the block chain storage node, the block chain storage node is reasonably selected for storage through the coincidence value; node allocation data is deleted and compressed for storage through the management value, so that the storage redundancy of block chain storage nodes is reduced.

The invention discloses a low-redundancy block chain data storage and retrieval method and system. The method comprises the steps: reconstructing a traditional distributed account book, removing an account book data part, adding a query index part, and constructing a low-redundancy block data structure; realizing an uplink consensus mechanism between block chain nodes based on a Raft protocol; and after the leader node links the account book block, storing the data to the local, selecting an account book data backup node from the block chain network based on the Hash function, sending the backup data to the backup node for backup storage, and sending query index data to all other nodes for updating the query index. By reconstructing a block data structure, eliminating redundant account book data and newly adding a query index structure, a Raft protocol and Hash-based low-redundancy account book data storage and retrieval method is provided, and finally block chain low-redundancy data storage and traceability are realized.

The invention discloses a distributed storage method and a transmission decoding method, and relates to the field of distributed storage. The distributed storage method comprises the following steps:partitioning original data to obtain a first preset number of data blocks, then encoding the data blocks according to a generation matrix to generate a second preset number of data packets, performingdata interception on the data packets by utilizing an interception scheme to obtain intercepted data packets, and storing the intercepted data packets into the corresponding distributed nodes. According to the embodiment of the invention, higher coding efficiency can be ensured by coding according to the generation matrix, and the storage redundancy of the nodes can be reduced when the data packets are intercepted and stored through the interception scheme, so that the storage redundancy of the whole distributed system is reduced, the storage space is saved, and the storage efficiency is improved.

The invention provides a communication control method for smart home. The method comprises the following steps: when Ethernet data are transmitted to a smart home device, an industrial Ethernet unit of the smart home device receives an Ethernet data packet, encodes and converts an analog signal of the Ethernet into a digital signal that can be processed by the smart home device. The communicationcontrol method for smart home provided by the invention is transparent to high-level protocols such as an application layer and is not vulnerable to network attacks, thus greatly improving the security, the parallel processing speed is high, the internal hardware can be defined, and the flexibility is high; and the manageability of large systems is guaranteed. The smart home data are processed incombination with the mobile terminal location data, and cycle demands are divided online, thereby having the advantages of fast acquisition operation and reduced storage redundancy.

The invention provides a terminal control method for the Internet of Things. The method comprises the following steps: receiving an industrial Ethernet data packet, extracting a source address, a destination address, a protocol type, a source port and a destination port parameter in the data packet, comparing the same with a pre-stored permission list, if all the data are in the permission list, indicating that the packet is legal, judging, by a microprocessor of a control unit, the received data, and if a network data packet containing configuration information is received, updating the permission list; reading information in a FLASH memory, and uploading the information to a main control network terminal. The terminal control method for the Internet of Things provided by the invention istransparent to high-level protocols such as an application layer and is not vulnerable to network attacks, thereby greatly improving the security, moreover, the processing speed is high, and the internal hardware can be defined and is high in flexibility; and the manageability of large systems is ensured. The smart home data are processed in combination with the mobile terminal location data, cycle demands are divided online, and the terminal control method has the advantages of fast acquisition operation and reduced storage redundancy.

The invention discloses a document processing method taking a lexical chunk as a basic unit. The method comprises the following steps: establishing a document item and a catalog outline of the document item, wherein the catalog outline is used for recording catalog information and catalog structure; adding a plurality of lexical chunks under the catalog outline according to the catalog structure of the catalog outline and editing the lexical chunks, wherein the lexical chunks all have attribute marks and are stored in a same lexical chunk bank and the attribute marks include a value mark, a content mark, a semantic mark, a position mark and a citing state mark; storing the document item which takes the lexical chunk as the basic unit. The document processing method disclosed by the embodiment of the invention can be adopted for reducing storage redundancy and is convenient for online editing of the same document by a plurality of persons.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing low-latency differential access controls in a distributed prediction system. One of the methods includes obtaining, by a root server from an authorization server, one or more permitted action types for a requester. A plurality of predicted actions that each co-occur in at least one document with a search parameter are obtained. Any actions having an action type that is not one of the one or more permitted action types for the requester is filtered from the plurality of predicted actions. One or more predicted actions having one of the permitted action types is provided to the requester.