221 results about "Structure generation" patented technology

The invention provides a dynamic report generation method and a platform; a data set model defined by business characteristics is used to organize data, extract data model definition, bind data based on the data set model, configure the transformation rules of the report structure, and automatically generate a report instance through a report generator engine, so as to form a report generation method. Data items are organized through the derived relation and the extended relation among the data items; the property of the data items which need to be bound into a report template is designated through path expression when the data is bound. The changes possibly generated during the report structure generation are defined; the report generator engine adjusts the report structure based on the structural transformation rules; as long as new structural transformation rules are added, new data display ways can be added without recoding so as to improve the expansibility of the system. Therefore, the user can adopt different display ways based on the characteristics of different data to enhance the expression ability of the report.

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.

A dialog prosody structure generating method and apparatus, and a speech synthesis method and system employing the dialog prosody structure generation method and apparatus, are provided. The speech synthesis method using the dialog prosody structure generation method includes: determining a system speaking style based on a user utterance; if the system speaking style is dialog speech, generating dialog prosody information by reflecting discourse information between a user and a system; and synthesizing a system utterance based on the generated dialog prosody information.

The invention relates to realization of query of encrypted database tables by utilization of a structuralized additional data structure on the premise that an internal operating mechanism of a database management system is not changed, which comprises an encrypt data containing an index query structure generation method and a whole encrypt query process. A database server judges the retrievable information range of cryptographic keys of certain levels held by users first, and quickly performs information retrieval within the information range, so as to protect the privacy of information in the database.

For forming a fine structure of a desired material, nanoparticles of the same material are prepared in a suspension. A layer of the suspension is applied by a drop-on-demand printing system to a substrate. At least part of the layer is exposed to laser light for melting the nanoparticles at least partially. Upon solidification, the molten particles are sintered together to form the desired structure. Due to the low melting point of nanoparticles as compared to the melting point of bulk material, this procedure avoids damage to the substrate and provides a better control over the structure generation process. It can be used for generating metallic and non-metallic structures on various substrates. The laser light may have non-Gaussian intensity distribution or can combine multiple beams of Gaussian and non-Gaussian distribution for improving the quality of the generated structure, or it may be pulsed for improved control of the heat flow into the substrate.

The invention provides a SAR image sample generation method based on a sketch and structure generation antagonistic network, which mainly solves the problem of sample imbalance in the semantic segmentation of the SAR image. The method comprises the following steps of: (1) sketching a SAR image to obtain a sketch map; (2) according to the region map of SAR image, extracting the small extremely heterogeneous region; (3) constructing a paired data set of sketch blocks-SAR image blocks; (4) selecting the samples from the data set to compose the training set and the test set; (5) constructing a generating antagonistic network based on sketch information and structural constraints; (6) training the sketch fitting network, the discrimination network and the generation network alternately by sketch line loss, antagonistic loss and generator loss,; (7), inputting a test sketch block to the trained generation network to obtain a generated SAR image block. The invention can generate SAR image samples coinciding with the original SAR image ground object structure according to the sketch map, and can solve the sample unbalance problem of extremely uneven region classification of the SAR image.

For forming a fine structure of a desired material, nanoparticles of the same material are prepared in a suspension. A layer of the suspension is applied by a drop-on-demand printing system to a substrate. At least part of the layer is exposed to laser light for melting the nanoparticles at least partially. Upon solidification, the molten particles are sintered together to form the desired structure. Due to the low melting point of nanoparticles as compared to the melting point of bulk material, this procedure avoids damage to the substrate and provides a better control over the structure generation process. It can be used for generating metallic and non-metallic structures on various substrates. The laser light may have non-Gaussian intensity distribution or can combine multiple beams of Gaussian and non-Gaussian distribution for improving the quality of the generated structure, or it may be pulsed for improved control of the heat flow into the substrate.

A method includes generating a received signal vector from a signal received over a channel. The received signal vector includes a plurality of symbols encoded in accordance with a block code having a structure. A channel matrix estimated for the channel is transformed based on the structure of the block code to generate an aggregate channel matrix. The symbols are processed using the aggregate channel matrix. A system includes a front end unit configured to generate the received signal vector, a channel estimation unit configured to estimate the channel matrix, and a processing unit configured to generate the aggregate channel matrix and process the symbols using the aggregate channel matrix.

In this invention, a new tree-structured generation method for obtaining orthogonal variable spreading factor (OVSF) codes that preserve orthogonality between different rates and spreading factors (SF) based on Gray code labels in a CDMA system is presented. Each OVSF code is uniquely associated with a Gray code label. An efficient method for deciding if the code is a mother code or children code of the other code without searching an entire code tree is proposed. Furthermore, by taking advantage of the Gray code labeling, each OVSF code can be generated directly from a generating matrix instead of being generated recursively using a tree structure. An OVSF code reassignment method with Gray code labeling is also given.

A system / method allowing intraocular lens (IOL) fabrication using a femtosecond laser is disclosed. The system and method generate a stream of pulses at a rate of at least 1 million pulses per second and a pulse length of 300 femtoseconds or less to sculpt a polymeric material blank (PMB) to form an IOL. The high repetition rate and short pulse length combine to permit IOL fabrication in less than 10 minutes. During this fabrication procedure a lens may be formed within the IOL by incorporating a refractive index shaping (RIS) structure within the IOL. Additionally, IOL haptics may be formed during this IOL formation process. This combination of physical feature generation and RIS structure generation permits per-patient customization of the IOL as it relates to sphere, cylinder, asphericity, multifocality, and / or higher optical aberrations (HOAs).

A method includes generating a received signal vector from a signal received over a channel. The received signal vector includes a plurality of symbols encoded in accordance with a block code having a structure. A channel matrix estimated for the channel is transformed based on the structure of the block code to generate an aggregate channel matrix. The symbols are processed using the aggregate channel matrix. A system includes a front end unit configured to generate the received signal vector, a channel estimation unit configured to estimate the channel matrix, and a processing unit configured to generate the aggregate channel matrix and process the symbols using the aggregate channel matrix.

Disclosed herein is a 3D model shape transformation apparatus. The 3D model shape transformation apparatus includes a camera unit, a shape restoration unit, a skeleton structure generation unit, and a skeleton transformation unit. The camera unit obtains a plurality of 2D images in a single frame by capturing the shape of an object. The shape restoration unit generates a 3D volume model by restoring the shape of the object based on the plurality of 2D images. The skeleton structure generation unit generates the skeleton structure of the 3D volume model. The skeleton transformation unit transforms the size and posture of the 3D volume model into those of a template model by matching the skeleton structure of the template model with the skeleton structure of the 3D volume model.

A high light efficiency of GaN-series of light emitting diode and its manufacturing method thereof disclose a process and structure of a p-type semiconductor layer of surface texture structure generation. The optical waveguide effect can be interrupted and the possibility of hexagonal shaped pits defect generated can be reduced through said texture structure. The method explores that controlling the tension and compression of strain while a p-type cladding layer and a p-type transition layer are generated, and then a p-type ohmic contact is formed on said p-type transition layer. Through the control and its structure of said epitaxial growth process, the surface of said p-type semiconductor layer is with texture structure to increase external quantum efficiency and its operation life.

The invention discloses a promotion account structure generation method and device. The promotion account structure generation method includes that acquiring limiting conditions for limiting the account structure of a promotion account; generating the promotion account structure of the promotion account according to the limiting conditions; acquiring keywords for generating the promotion account; matching the keywords to the promotion account structure to obtain the promotion account. The promotion account structure generation method and device are capable of solving the problem of low promotion account creating efficiency of the prior art and improving the promotion account creating efficiency.

The invention relates to a building main body structure generation method and device, computer equipment and a storage medium, room information in building family model data is obtained by calling aninterface of design software, wall line information is calculated through the room information, and a wall body structure of a building main body is generated according to the wall line information. According to the method, the building main body structure can be automatically generated based on the obtained design software model data, manual operation of a user during building drawing is reduced,the efficiency is improved, and the error rate is low due to the fact that the method is an automatic building main body structure generation method.

A method and system for porting an abstract Information Technology (IT) structure into an IT delivery environment. An abstract IT structure A that is currently within an IT delivery environment X is translated by generating a virtual IT structure V from the abstract IT structure A through specification of an IT delivery environment Y. Delivery binding the virtual IT structure V to the IT delivery environment Y generates a delivery-bound virtual IT structure D. The delivery-bound virtual IT structure D is deployed in the IT delivery environment Y, resulting in a real IT structure instance R capable of operating in the IT delivery environment Y.

The invention discloses a method and a device for realizing tree structure based on a macos operation system. The method includes: correspondingly filling content and corresponding attribute to be expressed into the tree structure in each line of at least one created list control, wherein the attribute includes hierarchy attribute to which the line or the content of the line in the tree structure is belonged and child node attribute used for describing whether the hierarchy to which the line or the content of the line is belonged has next hierarchy. The device includes a structure establishment module and a structure generation module. With the adoption of the technical proposal of the invention, the existing list control can be used on a platform based on the macos operaiton system to realize the information expression of multi-hierarchy tree structure and simplify the operation process of procedures. Besides, in the operation process, users do not need to switch windows too often and the user experience is improved.

The present disclosure provides a topology structure generation method of a CDN network. The method comprises a step of determining the distance measures between nodes, wherein the nodes comprise a source node and multiple edge nodes, a step of generating a sink tree of multiple shortest paths from all edge nodes to the source node according to the determined distance measures and generating a routing table, a step of issuing the routing table to all edge nodes to generate a topology structure. The invention also provides a corresponding system. After the distance measures between all nodes in a network are determined, the shortest path from each edge node to the source node is determined according to the distance measures between every two nodes, the routing table is generated according to the shortest paths and is issued to all edge nodes to generate the topology structure such that the distances from all edge nodes to the source node are shortest, thus the obtained topology structure allows the time of content distribution from the source node to each edge node to be minimal, and the speed of the loop source in the CDN network is increased.

The invention relates to a method for generating a powder laying and sintering supporting structure of an aircraft structural part based on a space lattice. The method comprises the steps of firstly calculating a bounding box of the supporting structure; secondly calculating the node position in the supporting structure within the range of the bounding box; then judging the necessity of generating a supporting rod according to the characteristics of the part and the node position; finally generating an entity according to the supporting rod and a sketch input by a user, and designing a rounded corner or a fillet in the supporting structure. The method has the advantages of being high in efficiency and wide in using range, aiming at a material adding manufacturing mode of powder laying and sintering, the method can be used for fast generation of the supporting structure of a part in any shape, and the method has a good application prospect.

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.

The invention discloses an automatic enterprise organization structure generation method and a system thereof. The method comprises the following steps of: defining basic information at a client, wherein the basic information comprises a company / branch mechanism, staff information, posts and posts to which the staffs belong; generating an organization structure two-dimensional table according to the defined basic information; and displaying organization structure charts: putting an organization structure chart interface in an image container to carry out drawing, and finally display three types of organization structure charts: a group organization structure chart, a company / branch mechanism organization structure chart and a post organization structure chart. The system and the method mainly comprise three steps of defining the basic information at the client, generating the organization structure two-dimensional table according to the basic information and displaying the organization structure charts, and the enterprises can set or adjust the personnel changes of the organization structures in time according to the method, so that the working efficiency of the organization and personnel management is improved and the enterprise cost is reduced.

The invention discloses a dynamic invoice template based invoice issuing system. The dynamic invoice template based invoice issuing system comprises a data receiving module which is used for receiving source data and verifying the validity of the source data, a data analysis module which is connected with the data receiving module and used for extracting verified source data from the data receiving module and analyzing the source data to data which can be recognized by the system and be stored, a dynamic establishment module which is connected with the data analysis module, dynamically establishes an invoice issuing template, user interface elements and logical function elements according to contents of the data which can be recognized by the system. The dynamic invoice template based invoice issuing system, dynamic generation of the invoice issuing template serves as a core, user procedures related to invoice issuing are performed through a mode of dynamic data structure generation, repeat labor of developers during processing of different invoice categories are greatly reduced, the code compiling amount is reduced, and accordingly the software development efficiency is improved and the error risks are reduced.

The invention discloses a process design collaboration management system based on a three-dimensional model. The system comprises a process data management unit, a process design task distribution unit, a CAD (computer-aided design) data distribution unit, an MBOM (manufacturing bill of materials) structure generation unit, a process instruction book generation unit and a data integration unit. Digital machining, thermal engineering and assembly processes are designed and managed, process design tasks are distributed to different organizations, different departments and different staff and processed, collaborative process design and management are realized, unified management process resource bases, standard bases and tooling bases are realized, the system is integrated with a downstream system, machining information and assembly information are transmitted to the downstream system, and manufacturing of factories is conveniently instructed.

The invention discloses a manufacturing method with a manual welding crack defect test board. The test board is mainly used for training of welding quality nondestructive testing personnel. The alloy condition of meeting quenched structure generation should exist in a crack generation area; a gap is precisely prepared in a local area of a multi-layer backing weld or filling bead or cap weld, a restraint condition is formed by carrying out repair welding on the gap, and then a large enough residual stretching stress field is generated; during welding, the large diffusible hydrogen content exists in a welding line, and during later gap repair welding, under formed stretching stress, diffusible hydrogen is diffused and gathered to the area to induce crack generation; and after cracks are pre-manufactured, filling welding and cap welding of a weld bead are carried out through shielded metal arc welding or argon tungsten-arc welding, and the integrity of the front face of the weld bead is guaranteed. According to the method, the positions, length, depth and self height of the cold cracks can be controlled according to design requirements, and therefore the utilization rate of the welding defect test board is increased.

An irregular topology generating method for a network-on-chip is disclosed, belonging the design field of the Internet-on-chip, characterized in that the method comprises the following steps of: dividing nodes in a communication diagram that describes the application of the network-on-chip into a plurality of sets; forming new nodes by using an edge router to connect all the nodes in each set, in order to form the new directional communication diagram; performing integrated division to the new directional communication diagram until a new set is unable to form or the number of the nodes is less than or equal to 5; then determining the number of core network routers and generating the core network according to the number of the nodes in the finally-formed communication diagram; simplifying the network by reducing the redundant edge routers. The invention has the characteristics of small area and low consumption in communication power on condition of meeting the communication demands of specific application.

The invention discloses an elevator risk assessment system. The elevator risk assessment system comprises an elevator risk assessment index hierarchical structure generation module, an information acquisition module, a weight calculation module, a remark definition module, a membership matrix construction module, a risk assessment module and a risk analysis module. According to the invention, the fuzzy matrix, the artificial neural network and the analytic hierarchy process are employed in the elevator risk assessment, various uncertain factors and indexes which occur in the risk assessment process can be analyzed, the elevator running state can be assessed timely, sensitively and reliably, and a relatively-accurate risk grade of an elevator target floor can be given out quickly.

The invention discloses a Java vulnerability detection and positioning method based on a GGNN and a hierarchical attention network. The method mainly comprises the steps of vulnerability data set construction, data set preprocessing, model design and training, and model testing and evaluation. Firstly, a data set used in the current field is summarized, and a self-made data set for subsequent model training is designed and collected; performing data preprocessing work on the data set to obtain a primary representation of a code and enabling the primary representation to serve as input of a subsequent model; training a self-defined vulnerability detection model by using the preprocessed data; and finally, the trained model can process a tested data set, and test evaluation is given. Compared with the prior art, the method has the advantages that vulnerability detection is carried out by using the graph neural network model of the DL algorithm (optimization algorithm), and the problems of lack of data sets, poor interpretability and difficulty in code graph structure generation of this kind of research are solved.

A database storage system based on optical disk includes a database management system installed on a server, a magnetic disk storage device and an optical disk storage device connecting, via a data connection, to the server. The database management system processes database management and data management in response to data requests and a database is created in the magnetic disk storage device, and includes a field structure generation module, a record index generation module, a storage space allocation module, a storage space status module, a record linkage module, a record split module and a database creation on optical disk module. The integrity of data is maintained during a database backup process. The optical disk containing a subdatabase accepts the management of the database management system to serve as a normal data source. The databases are hierarchically stored using the storage devices. The methods for database backup and restoration are provided.

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.

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.