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46 results about "Decentralised system" patented technology

A decentralised system in systems theory is a system in which lower level components operate on local information to accomplish global goals. The global pattern of behaviour is an emergent property of dynamical mechanisms that act upon local components, such as indirect communication, rather than the result of a central ordering influence of a centralised system.

Metadata management system for an information dispersed storage system

Briefly, the present invention relates to an information dispersal sytem in which original data to be stored is separated into a number of data “slices” in such a manner that the data in each subset is less usable or less recognizable or completely unusable or completely unrecognizable by itself except when combined with some or all of the other data subsets. These data subsets are stored on separate storage devices as a way of increasing privacy and security. In accordance with an important aspect of the invention, a metadata management system stores and indexes user files across all of the storage nodes. A number of applications run on the servers supporting these storage nodes and are responsible for controlling the metadata. Metadata is the information about the data, the data slices or data subsets and the way in which these data subsets are dispersed among different storage nodes running over the network. As used herein, metadata includes data source names, their size, last modification date, authentication information etc. This information is required to keep track of dispersed data subsets among all the nodes in the system. Every time new data subsets are stored and old ones are removed from the storage nodes, the metadata is updated. In accordance with an important aspect of the invention, the metadata management system stores metadata for dispersed data where: The dispersed data is in several pieces. The metadata is in a separate dataspace from the dispersed data. Accordingly, the metadata management system is able to manage the metadata in a manner that is computationally efficient relative to known systems in order to enable broad use of the invention using the types of computers generally used by businesses, consumers and other organizations currently.
Owner:PURE STORAGE

Multi-system cooperative system and method for production process control of discrete manufacturing enterprises

The invention discloses a multi-system cooperative system and method for production process control of discrete manufacturing enterprises. The multi-system cooperative system is used for cooperative work and data sharing of a production management system with multiple production chains during production, and comprises an information management subsystem, a cooperative management subsystem and a data synchronization subsystem. The multi-system cooperative method includes: configuring the process and defining the production chains; conducting system mapping to finish automatic correlation of the systems and the production chains; building topology, and displaying topology connection directed graphs of systems in real time according to the production process configuration and regular files; dynamically adjusting the topology relation and building a final connection directed graph of the production systems; adding orders and selecting corresponding production processes for the orders; distributing tasks; synchronizing and updating data and mastering the production schedule in real time. The multi-system cooperative system and method achieves organic interconnection and data sharing of independent systems through effective integration of the discrete systems, achieves smart production of the enterprises and improves the whole efficiency.
Owner:NANTONG MINGXING TECH DEV CO LTD +1

Graded image retrieval method based on deep features of convolutional neural network

The invention provides a graded image retrieval method based on deep features of a convolutional neural network. According to the basic principle, the method comprises the steps of firstly, training the convolutional neural network used for feature extracting, and determining network parameters; then using the trained convolutional neural network to extract image features, and obtaining multiple convolutional layer binary system features and one full-joint layer binary system feature; secondly, applying the convolutional layer binary system features to a preliminary screening retrieval stage,conducting multi-feature similarity fusion after further compressing the features, sifting out a candidate image set, and reducing the retrieval range; finally, using the full-joint layer binary system feature to accurately retrieve the candidate image set to obtain a final retrieval result. As is shown by an experiment result based on a public image retrieval dataset, compared with an existing image retrieval method, the representing mode of the images of the graded image retrieval method is more comprehensive, a feature compression method is simpler and more efficient, and the retrieval accuracy is high; meanwhile, by means of a graded retrieval mode, the system calculation amount is dispersed, parallel accelerating is achieved, and the graded image retrieval method has practical value.
Owner:长沙览思智能科技有限公司

Billing system for information dispersal system

A billing process is disclosed for a information dispersal system or digital data storage system. In one embodiment of the invention, the original data to be stored is separated into a number of data “slices” or shares in such a manner that the data in each subset is less usable or less recognizable or completely unusable or completely unrecognizable by itself except when combined with some or all of the other data subsets. These data subsets are stored on separate digital data storage devices as a way of increasing privacy and security. As dispersed file shares are being stored or removed from a grid of distributed storage locations, a set of metadata tables are created, separate from the dispersed file share storage, to maintain information about the original data size of each block, file or set of file shares dispersed on the grid. The original data size information in these separate metadata tables is used to determine usage information based upon the original file size even though the file has been dispersed onto a storage grid that contains file slices who size may not relate to the original file size and the file slices may have been compressed by the system in order to reduce storage space or improve transmission time. As such, the billing process is able to enable a broad range of commercial billing options for billing for commercial data services on an information dispersal grid.
Owner:PURE STORAGE

Intelligent anti-slip tool box and detecting work method thereof

The invention discloses an intelligent anti-slip tool box. The intelligent anti-slip tool box is characterized by comprising an anti-slip tool box body, a main monitoring module, multiple independentsubsidiary modules, a temperature module, a power supply control module and a corresponding hardware structure. The main monitoring module is connected with all the independent subsidiary modules through a 485 bus. The intelligent anti-slip tool box is applicable to various station yard environments and particularly applicable to large railway station yards. The main and subsidiary module design is adopted in the intelligent anti-slip tool box, by the adoption of the multiple independent subsidiary modules, the burden of completing system work by adopting the single module is reduced beneficially, moreover, all the modules each perform their duties to complete the corresponding work independently, the risk of overall failure of a system is dispersed, the reliability and the safety of the monitoring system of the intelligent anti-slip tool box are improved, and reliable monitoring over the anti-slip tool box is ensured. The main monitoring module carries out coordinative monitoring workon all the independent subsidiary modules, and the system carries out centralized management over anti-slip tools.
Owner:南京富岛信息工程有限公司
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