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218 results about "Structure generation" patented technology

Data integrity authentication information generation method and device as well as data integrity authentication method and device

The invention provides a data integrity authentication information generation method and device. The device comprises a Hash structure generation unit, a common authentication information acquisition unit and an integrity authentication information generation unit, wherein the Hash structure generation unit can generate a Hash structure corresponding to a specific time period according to Hash values of data sections contained in multiple data sources in the specific time period, so that the Hash value in each data section can respectively represent a child node at the lowest level of the Hash structure in order to calculate a root Hash value of the child node; the common authentication information acquisition unit can acquire the common authentication information according to the root Hash values; the integrity authentication information generation unit can generate the integrity authentication information of the data sections contained in the multiple data sources in the specific time period for the multiple data sources, wherein the integrity authentication information of each data section comprises common authentication information, path information containing from the Hash value of the data section of the leaf node at the lowest level in the Hash structure to the root node, and the relevant node Hash value of the child node in the path. The invention also provides a data integrity authentication device and method.
Owner:SONY CORP

Text Mining Device, Method Thereof, and Program

Language analysis means 21 analyzes texts read from a text DB 11, and generates a sentence structure as the analysis result. Similar-structure generation adjustment means 25 generates, from an input of an input device, a determination item for determining whether or not the structures are identical every type of differences between the sentence structures. Similar-structure determination adjustment means 26 generates, from an input of the input device 6, a determination item for determining whether or not the difference between attribute values is ignored every type of attribute values. Similar-structure generating means 22 generates a similar structure of a partial structure forming the sentence structure obtained by language analysis means 21 in accordance with the determination item from the similar-structure generation adjustment means 25, and sets the generated similar structure as an equivalent class of the partial structure on the generation source. Frequent-similar-pattern detection means 24 ignores the attribute value in accordance with the determination item given from the similar-structure determination adjustment means 26, detects the frequent pattern on the basis of a set of equivalent classes from the similar-structure generating means 22, and outputs the frequent pattern to an output device 3.
Owner:NEC CORP

General interconnection data automatic analysis system, method and device

The invention provides a universal interconnection data automatic analysis system, method and device. The system comprises a protocol generation model training module; a training stage protocol description structure generation module. The method comprises the following steps of in the training stage, decoding a compiler calling module; training analysis result acquisition module. The invention creatively provides a real-time high-performance full-automatic network data analysis system. Due to the fact that an automatic learning method is applied to the system, labor cost investment can be greatly reduced, and the system can adapt to continuously emerging new (monitored or analyzed) applications and continuous changes of the applications. Meanwhile, due to decomposition, isolation and compilation of the intermediate structure, the method has extremely high performance and can be widely applied to offline analysis and online analysis. Therefore, the method has wide applicability in IT operation and maintenance, is not only suitable for traditional network performance management, but also suitable for service performance management, and can support scientific and technological financial innovation, 5G application, IoT application and the like.
Owner:SHANGHAI NETIS TECH

Method for simultaneous characterization and expansion of reference libraries for small molecule identification

A variational autoencoder (VAE) has been developed to learn a continuous numerical, or latent, representation of molecular structure to expand reference libraries for small molecule identification. The VAE has been extended to include a chemical property decoder, trained as a multitask network, to shape the latent representation such that it assembles according to desired chemical properties. The approach is unique in its application to metabolomics and small molecule identification, focused on properties that are obtained from experimental measurements (m/z, CCS) paired with its training paradigm, which involves a cascade of transfer learning iterations. First, molecular representation is learned from a large dataset of structures with m/z labels. Next, in silico property values are used to continue training. Finally, the network is further refined by being trained with the experimental data. The trained network is used to predict chemical properties directly from structure and generate candidate structures with desired chemical properties. The network is extensible to other training data and molecular representations, and for use with other analytical platforms, for both chemical property and feature prediction as well as molecular structure generation.
Owner:BATTELLE MEMORIAL INST
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