719 results about "Data dynamics" patented technology

A system improves the design of artificial implant components for use in joint replacement surgeries. The system includes an anthropometric static image data analyzer, an implant model data generator, a kinematic model simulator, and a dynamic response data analyzer. The implant model data generator may also use image data of a joint in motion for modification of the implant model data used in the kinematic simulation. Dynamic response data generated by the kinematic model simulation is analyzed by the dynamic response data analyzer to generate differential data that may be used to further refine the implant model data.

A method and system for transferring information within a computer system is provided. The system includes a memory device that has a lower power mode in which data transfer circuitry is not driven by a clock signal, and a higher power mode in which data transfer circuitry is driven by a clock signal. The system further includes a memory controller that sends control signals to the memory device to initiate a data transfer transaction. The memory device receives the control signals asynchronously, and assumes the second mode in response to one of the control signals. While the memory device is in the second mode, the memory controller sends a control signal to identify a particular clock cycle. The memory device synchronously transfers the data. The memory device determines when to begin the data transfer based on the identified clock cycle and the type of data transfer that has been specified.

A reservation transaction system for an idle parking space comprises a user terminal, a parking management system, a backstage management system and a transaction platform. A renter finishes information distribution and transaction of the idle parking space through the user terminal, and a tenant finishes reservation and transaction of the idle parking space through the user terminal. The independent parking management system is used for each parking lot and comprises a parking space lock, a centralized controller, a barrier and an IC (integrated circuit) card, the parking space lock is mounted on the parking space, the centralized controller is used for controlling the parking space lock, the barrier is arranged on an entrance and exit of the parking lot, and the IC card matched with the centralized controller is provided by the barrier. The backstage management system comprises a parking space data dynamic management module, a member data management module, a transaction system management module, a financial management module, an information distribution system management module and a marketing strategy management module. The transaction platform is used for managing data interaction among the user terminal, the parking management system and the backstage management system and distributing collected parking space information on a website. The problems of shortage of urban parking spaces and difficulty in parking are improved.

The invention relates to an integrated transfer learning method for classification of unbalance samples, which comprises the following steps of: in the initializing process, giving different weights to positive and negative samples to ensure that the negative samples which account a small ratio for the total samples and have a large amount of information have large initial weights; in the training process in each round, extracting part of samples according to a certain ratio and using the selected samples as a training subset to carry out training, and after finishing the training, selecting the classifier with the smallest error from a plurality of simple classifiers as a weak classifier and regulating the training dataset according to a redundant data dynamic eliminating algorithm; and obtaining a weak classifier sequence after T rounds of iteration and overlaying and combining a plurality of weak classifiers into a strong classifier. According to the invention, the classification law of novel data which is distributed similarly with old data is found by effectively utilizing the classification law of the old data; particularly, a novel method is provided for solving the problem of classification of the data which is classified in an unbalance mode; the effect of a small amount of the negative samples in the classification process in the classification training process is ensured; the contribution rate of the negative samples is effectively improved; and the classification efficiency and accuracy are improved.

The invention discloses a method and a device of dynamically diagnosing hard disk failure based on S.M.A.R.T (Self-Monitoring Analysis and Reporting Technology) data and relates to the field of data storage security diagnosis. The method comprises the following steps: 101) establishing a cloud storage server side to continuously collect three types of data; 102) establishing a hard disk failure early-warning dynamic model; 103) establishing S.M.A.R.T parameter normal fluctuation curves and ranges; 104) obtaining a health diagnosis scoring dynamic model through big data analysis. The method and the device of dynamically diagnosing hard disk failure based on S.M.A.R.T data have the following beneficial effects: 1) the cloud storage server side is established to continuously collect data related to health of hard disks; 2) the collected data are organized to establish the hard disk failure early-warning dynamic model, the S.M.A.R.T parameter normal fluctuation curves and ranges and the health diagnosis scoring dynamic model; 3) the correctness of the model is continuously improved through machine learning in hard disk failure diagnosis.

The invention discloses a hash tree-based data dynamic operation verifiability method, which consists of three parts, i.e., a USER, a cloud data center (CDC) and a third party administrator (TPA) connected through a communication network, wherein the USER is used as a party of making a data memory service request, who hopes to store a data file owned by the party into a cloud storage space of the cloud data center, and can be both a personal user and an enterprise user; the CDC is used for responding to the data storage service request of the USER, storing the data file of the USER into the huge data center of the CDC according to a certain rule and managing and maintaining the data file; and the TPA is used as a reliable TPA and is commissioned by the USER to check the completeness and the consistency of the data file stored in the CDC data center. According to the hash tree-based data dynamic operation verifiability method, the verification problem of the completeness and the consistency of the user data file under a cloud computing environment is solved.

The invention discloses an ecological monitoring information management and pre-warning system for river-communicating lakes. The system comprises a hydrological module, a water quality and water ecology module, a river beach ecology system module, a species diversity module, a multi-element information mining module and a risk assessment pre-warning and analysis module, wherein the risk assessment pre-warning and analysis module comprises a low-water-level pre-warning module, a species diversity pre-warning module and a eutrophication risk assessment and pre-warning module. According to the system, modern information management functions of data and information electronic storage, data dynamic acquisition and transmission, intelligent query, information display and the like can be realized; the effect of analyzing heterogeneity and diversity of data and ecological characteristics of the data is good; and a monitoring result can be subjected to automatic determination and real-time pre-warning.

An enhancement system for videogames employs data captured from a delivery vehicle associated with a vendor supplied product as a keycode to obtain or to directly provide data to enhance the videogame. Statistics on use of the enhancement data is then accumulated and reported to the vendor for marketing analysis. Opportunities for cross marketing for the vendor supplied product, the video game and the device on which the video game operates is provided by the system.

Methods, systems, and articles of manufacture for constructing and populating data marts with dimensional data models from a set of data repositories that contain factual and association information about a set of related assets are disclosed. An intermediate data warehouse is generated to process the facts and associations for each asset. Using the intermediate warehouse, one or more data marts are generated with fact tables, dimensions, and hierarchies to fully model the information available for each asset.

The invention discloses a method for mass model data dynamic scheduling and real-time asynchronous loading under virtual reality. The method includes the following steps of firstly, preprocessing 3D model scene data, secondly, cutting and partitioning a whole model scene, thirdly, conducting multithreading parallel distribution loading and fourthly, clipping a view cone. Based on a view cone clipping algorithm for acquiring the point of intersection of the view cone and a topographic region, real-time clipping based on the topographic region in dynamic scheduling is achieved, by the adoption of a multithreading processing mechanism of a model data partitioning scheduling and rending pipeline, a dynamic scheduling and drawing pipeline and a data processing scheduling pipeline between different mediums can be asynchronously loaded, and therefore dynamic balance of loading and performance efficiency of the mass scene model data is achieved in the hardware environment with a limited memory, a limited processor and the like.

The invention relates to a vitualization environment data security partition method and a system. According to the method, a secret key resource pool is used for storing user information and supplying generation and management service of secret key resources for a user, a computation resource pool is used for supplying computation resources and carrying out deciphering before use on virtual machine image data trends of the stored user through the secret key resources generated by the secret key resource pool by adopting data dynamic transparent encryption and decryption technology, data encryption is carried out after computation resource operation, and the resources are used as stored resources to be stored in a stored resource pool. By means of the vitualization environment data security partition method and the system, through combination of the data dynamic transparent encryption and decryption technology and user secret key resource generation and management technology, virtual machine mirror data of the user can be partitioned safely, and good user experience can be achieved while user data security can be guaranteed.

The invention provides an urban environment data dynamic monitoring and real-time marking electronic map system and a use method. The system comprises an environment data acquisition unit and a remote online server. The environment data acquisition unit comprises a box body, a central processing unit, a power supply module, a display module, an environment parameter sensor, a GPS positioning module and a wireless communication module, and is characterized in that the central processing unit, the power supply module, the GPS positioning module and the wireless communication module are installed in the box body, the display module is installed on a panel of the box body, a probe of the environment parameter sensor is installed at the position of a window formed in the box body, the GPS positioning module and an antenna of the wireless communication module are installed outside the box body, and a fixed installation part and a handle or a strap are arranged on the box body. The system is convenient to carry or move, various urban environment data can be densely acquired on the aspects of time and place, so that the data can be gathered, an electronic map can be dynamically marked with the data, and the data can be sent to a network to be looked over by people at any time.

The invention discloses a tooth preparation-based data flexible fusion method, and belongs to the field of CAD (computer aided design). The method comprises four steps: data collection and pretreatment; characteristic curve self-adaptive extractive technique; data pre-registration; data dynamic registration. According to the method, only simple man-machine interactive operation is included; the degree of automation is high; a fused model not only has high-precision surface information, but also has a perfect internal structure; due to complete information which truly reflects a physical model, efficiency and accuracy of subsequent design and manufacturing can be improved; the method has important application value in the field of CAD for the oral cavity.

This invention provides one product cloud shape property analysis method based on data dynamic memory module, which comprises the following steps: reading the output data from digital device into memory and establishing linear memory structure for data; then adopting 3D R*-tree for rapid space polymer sorting on data and to establish data dynamic memory; then in the browsing process, using current data point as aim point to get the local reference data set by use of Bezier curve accuracy near to point set to estimate curve rate ; finally mapping the data curve rate as RGB color mode.

A cloud environment data integrity verification method based on fully homomorphic encryption comprises the steps of initializing parameters, initializing a secret key, generating a homomorphic label,storing a file and the label, initializing a verification challenge, generating an integrity evidence and verifying the integrity evidence. A fully homomorphic encryption algorithm and a mixed data dynamic data operation algorithm are utilized for performing data encryption, safety verification and performance optimization, thereby realizing a purpose of performing safety verification on the datastored in a cloud platform. The verification method comprises the steps of firstly, generating a homomorphic label by means of a fully homomorphic encryption method; secondly, performing remote numberintegrity verification on the data by means of the homomorphic label; thirdly, performing dynamic operation on the encrypted data by means of a mixed data dynamic operation method; and finally, performing safety analysis. Not only can high-efficiency supporting to a multi-granularity dynamic operation of the user realized, but also communication cost in performing the dynamic operation process bythe user and performing a remote data integrity verification process by an auditor can be reduced.

The invention discloses a high-speed serial buss system capable of being dynamically reconfigured based on lines and a realize method thereof. The buss comprises a plurality of communication lines; node equipment connected with the buss comprises one or a plurality of main control node(s) and a plurality of subsidiary nodes, wherein only the main control node(s) can start buss communication process; the node equipment is wholly or partially physically connected with the communication lines; the main control node(s) and the each subsidiary node adopt a semiduplex serial buss topological structure to realize physical connection; the main control node(s) and the subsidiary nodes respectively at least comprises a line detection module and a data dynamic reconfiguration module; the line detection module of the main control node(s) and the line detection module of the subsidiary nodes can immediately detect the connection status between the main node(s) and the subsidiary nodes according toinformation words between the two modules; and the data dynamic reconfiguration modules in the main control node(s) and the subsidiary nodes ensure the distribution method of data frame on the buss according to the ensured buss connection status.

The invention discloses a method and a system for realizing data consistency. A data access assembly receives user messages, dynamic structured query language (SQL) is generated according to the user messages, an extensive makeup language (XML) database configuration file is connected with a relationship database and obtains data, and then, the data is transmitted to an application layer; an overall buffer data set is inquired according to the overall property data access assembly object name and the data obtaining object name, the data is returned to the data access assembly when the data exists, and the data is transmitted to the application layer by the data access assembly; and according to the data access assembly object name and the data obtaining object name, an overall buffer memory assembly is created when no data exists, and the obtained data dynamic SQL, the data access assembly object name and the data obtaining object name are transmitted to the buffer memory assembly. The method and the system solve the problem of data consistency between a server buffer memory and the relationship database and have the advantages that the effectiveness of the server buffer memory data is ensured, the connection access to the relationship database is reduced, the access speed is accelerated, and the access efficiency is improved.

The invention belongs to the technical field of cloud storage, and discloses a cloud storage system and method capable of supporting secure data deduplication and deletion. The method comprises the following technical algorithms: providing secure data deduplication between different users by adopting a deduplication and encryption scheme and a server-assisted network structure; and building secureand efficient data deletion by using an encapsulation key tree. The invention further can support dynamic data updating, namely supporting interpolation, deletion and alteration operation of data inthe system. Efficient data updating is executed by adopting an increment data updating method, and only updated parts are required to be encrypted and uploaded. Through the combination with an increment updating technology, withdrawing/reworking operation of dynamic data is also considered, so that calculation and communication expenses for cloud storage are greatly reduced. Furthermore, detailedsecurity analysis and performance assessment are performed in the method disclosed by the invention. A result shows that the method disclosed by the invention can fulfill an expected security aim andalso realize efficient data deletion and deduplication operation.

The invention relates to a subject-oriented large-scale geographic spatial data dynamic fusion method. The method comprises steps as follows: Step a), firstly, establishing a matching model and an association model of geographic spatial data; Step b), then constructing a subject-oriented geographic spatial data fusion frame; Step c), establishing a subject-oriented geographic spatial data fusion rule base in combination with a geographical element matching technology of multi-source heterogeneous geographic spatial data; Step d), finally, realizing the subject-oriented large-scale geographic spatial data dynamic fusion method under the support of geographic raster data information fusion, geometric information fusion and attribute information fusion methods.

The invention discloses a data dynamic collection method oriented to active security. The method comprises the following steps: configuring initial collection frequency of original data; acquiring theoriginal data of the current period from a monitored target according to the initial collection frequency; processing the original data to obtain the processed data; outputting the processed data toa directed target; recording the change amplitude of target data; computing a first ratio of the change amplitude sum of k target data between the current moment and the m time before the current timeto the data size; computing the change amplitude sum of p target data between the current moment and the n time before the current moment to the data size; comparing the first ratio with the second ratio; judging whether needs to adjust the initial collection frequency according to the comparison result. The invention further discloses a data dynamic collection device and collection system oriented to active security. The data collection precision is improved by using the data dynamic collection method oriented to active security provided by the invention.

The invention relates to a dynamic copy management method based on an HDFS. According to the method, a copy placement strategy, a dynamic copy creation strategy and a dynamic copy deletion strategy are adopted. The copy placement strategy comprises a main copy and default copy placement strategy and a placement strategy of other copies and is an active leveling strategy. The load balancing problem is considered fully when copy creation is started, and a copy is actively placed at the position where a load is the lightest. Aiming at solving the problem that hot spot data processing efficacy of the HDFS is low, the dynamic copy management method is provided, and a copy of the HDFS is created through hot spot data dynamic conditions. Judged hot spot data are combined with N times of historical records so that the accuracy can be improved; copy creation is made to be predictable, the dynamic copy deletion strategy is provided, and therefore the concurrence performance of a whole HDFS cluster can be effectively improved.

The invention relates to a multi-data interface comprehensive line loss management system based on an intelligent power grid technology, belonging to the field of measurement. The multi-data interface comprehensive line loss management system is characterized in that a distributed line loss refined accurate comparison and analysis system is formed based on a.NET Remoting software system architecture to form a unified line loss management application platform; corresponding electricity settlements and electricity utilization information acquisition modes are respectively adopted for different types of users to form line loss statistics subsystems for the different types of users; data or information transmission between each line loss statistics subsystem and the unified line loss management application platform is carried out by using a sharing database interface form, a Web Service-based IDP (Integrated Data Processing) data access interface or a form of directly importing data from an Excel file; and acquisition, conversion, cleaning and storage of heterogeneous data distributed in different areas are realized, a data dynamic seamless interconnection mechanism and a real-time and quick information interaction mechanism are established to realize line loss refined comparison. The multi-data interface comprehensive line loss management system can be widely applied to the running/management field of electric systems.

The disclosed data compression method based on data dictionary comprises: presetting a data dictionary database; to the string formed by some characters from current position of the target string, substituting or outputting directly by index label of corresponding record in the database; after processing the target string, packing the output label and string into compressed data. This invention can improve dynamic compression effect.

The invention discloses a method for finely and accurately comparing line losses based on a smart-grid technology, and belongs to the field of measurement. The method comprises electric quantity settlement of a user and electricity consumption information acquisition, and is characterized by comprising the following steps of: constructing a unified distributed analysis system for finely and accurately comparing the line losses based on .NET Remoting software system architecture; adopting corresponding electric quantity settlement and electricity consumption information acquisition modes aiming at different types of users to form line loss statistic subsystems aiming at the different types of users; performing data or information transmission between each line loss statistic subsystem and a unified line loss management application platform by adopting a shared database interface form, and a mode of directly importing data based on an integrated data processing (IDP) data access interface of Web Service or an Excel file; realizing acquisition, conversion, cleaning and warehousing of remote heterogeneous data, and establishing a data dynamic seamless interconnection mechanism and an information real-time fast interaction mechanism; and finally realizing the fine comparison of the line losses to ensure that user side information is visible and controllable. The method can be widely used in the field of operation/management of an electric power system.

This invention relates to the improvement to the efficiency of a surgeon's decision making by giving success rates, potential complications that could arise during surgery, operating costs of certain procedures, anesthesia time, and predicted life expectancy using a predictive model built with deep learning. An additional embodiment of this invention is the use of a vision system to identify ongoing surgical procedures using deep neural networks such that the physician's surgical decisions are dynamically incorporated with the patient's data to provide a predictive model. An additional embodiment of this invention uses blockchain communication to securely transfer data between the cloud and the operating room or point to point between medical devices in the operating room. An alternate embodiment of the present invention is to provide for an advanced predictive method of surgery, specifically to a mechanism using a plurality of encoded networks for predicting surgical decisions, pharmaceutical decisions, medical fraud analysis, and patient cost analysis using deep learning techniques.