151 results about "Long term data" patented technology

A method and apparatus for efficiently managing the allocation of available data capacity on a physically shared digital network among devices connected to that network is disclosed. Also disclosed is a method and apparatus for managing the ongoing timely movement of data on the shared network such that precise long-term data rates are achieved between attached devices with minimal additional buffering. The invention further comprises a method and apparatus which allows the use of any remaining network capacity for non time-critical data movement without the need for centralized access management.

A distributed storage system for the long-term storage of data objects that is implemented utilizing one or more distinct storage sites that may be comprised of system controllers and object storage systems that act in concert to embody a single distributed storage system. A system may include a one or more types and / or instances of object storage systems in which replicas of objects are stored in at least two of the said object storage systems. A system may further include system controllers associated with logical and / or physical sites that coordinate object, user, device, and system management functionally.

A method and system for archiving data. The data are classified according to their desired lifetime and then archived in a memory using a storage method whose reliability is in accordance with the desired lifetime. For example, when storing data in the cells of an EPROM, short-term data could be archived using larger programming voltage pulse increments than for long-term data, using a lower target threshold voltage than for long-term data, using wider programming voltage pulses than for long-term data, using higher starting programming voltages than for long-term data, using fewer programming voltage pulses than for long term data, using lower maximum programming voltages than for long term data, or using more levels per cell than for long-term data.

Bacteriorhodopsin protein variants and methods using the bacteriorhodopsin variants for performance in holographic and three-dimensional (3D) memory storage devices are described. The amino acid and chemical modifications of bacteriorhodopsin provided herein achieve greatly enhanced protein performance. The memory storage devices write, read and erase data proficiently. The bacteriorhodopsin protein variants are useful in optical memory storage and associative processor systems. Irradiation of the light-sensitive protein with light of known wavelength causes the protein to switch between different states. The variants enter the branched photocycle via a single or a two photon process and form the permanent ‘Q’ state more efficiently than the wild-type bacteriorhodopsin protein. This branching photocycle of the variants is exploited in the fabrication of 3D memory storage devices.

A system and method for predicting driver behavior and generating control and / or warning signals comprises: one or more sensors; a database; a driver predictor for generating warning and control signals; a notification unit; and a vehicle control unit. More specifically, the driver predictor includes a transfer module, a hierarchical temporal memory and a prediction retrieval module. The transfer module is used to receive data and translate it into a form so that it can be stored in the hierarchical temporal memory. The hierarchical temporal memory receives data input and stores it such that data items are translated into short-term memory items which are in turn translated into intermediate-term data which in turn are finally translated into long-term data. The translation of data from one level of the memory to another is performed according to the present invention such that the data at each level of memory is reflective of and predictive of a particular driver behavior. Once the data is stored in the memory, the prediction retrieval module accesses the hierarchical temporal memory to generate warning signals to alert the driver of potentially dangerous conditions and / or control systems of the vehicle to prevent or avoid collisions. The present invention also includes a variety of method including a method for storing driving data in a hierarchical temporal memory, and a method for using a hierarchical temporal memory to generate collision avoidance signals.

For long-term data preservation, a storage virtualization system contains a metadata extraction module, an indexing module, a search module, and a virtualization module. The system utilizes two types of virtual volumes: unmarked volumes and marked volumes. The metadata extraction module extracts metadata that describes the data stored in logical volumes located in external storage. The indexing module scans the data and creates an index, and the index and metadata are stored in a local storage. After metadata is extracted for all data in a volume, and all data in the volume are indexed, the virtual volume corresponding to that volume is marked and the volume is ready to be made inactive. The search module allows a user to search for desired data using the metadata and the index stored in the local storage instead having to access the external storage systems where the data is actually stored.

A method and apparatus for efficiently managing the allocation of available data capacity on a physically shared digital network among devices connected to that network is disclosed. Also disclosed is a method and apparatus for managing the ongoing timely movement of data on the shared network such that precise long-term data rates are achieved between attached devices with minimal additional buffering. The invention further comprises a method and apparatus which allows the use of any remaining network capacity for non time-critical data movement without the need for centralized access management.

Enhanced meteorological measure-correlate-predict systems and methods. The systems and methods preferably consider publicly available, long-term data sets at each of a plurality of locations nearby a potential wind farm location. A test tower is preferably located at the potential location to collect a shorter-term data set, which, in combination with the long-term data set, is used to correlate and train embodiments of the systems and methods of the present invention using computational learning systems. Longer-term data can then be predicted for the potential wind farm location based on the correlation.

The availability of flight data used in the maintenance of aircraft engines is enhanced by exporting data from the database of an engine condition monitoring program to a long term database. The data export is accomplished by first reading a time file to determine the last date and time that data was successfully exported to the destination database. The program database is then searched for data that is new or changed since the last successful export. Any data found in searching the program database is retrieved and exported to the destination database. After a successful export, the date and time of the successful export is updated in the time file.

The invention relates to a zinc oxide arrestor on-line monitoring system which comprises a microprocessor which is respectively connected with an A / D converting unit, a lightning stroke counting module and a GPRS communication module; the A / D converting unit is respectively connected with a leakage current sampling module and a voltage sampling module; the structure of the microprocessor comprises input / output interfaces, a counter and a serial communication interface; the input / output interfaces are connected with the A / D converting unit; the counter is connected with the lightning stroke counting module; the microprocessor is connected with the GPRS communication module; the microprocessor adopts a FPGA chip EPIC6Q240C8. The monitoring system dynamically monitors the insulating property of the zinc oxide arrestor under the operating voltage; the test results are accurate and reliable; the testing process is simple; and the test period is short; the zinc oxide arrestor on-line monitoring system is not easy to be affected by artificial and external factors, can provide long term data information of operation and performance deterioration of the zinc oxide arrestor, and has better practical value.

Systems and methods for detecting behavior-based anomalies are described herein. In various embodiments, the system includes a context engine for creating behavioral vectors that are transmitted to a long term data store, to behavioral engines configured to create baselines based on historical data, and to sensors configured to observe system resources. According to particular embodiments, the system is configured to collect data regarding the system resources (e.g., via the sensors) and compare the collected data to baselines to determine whether anomalies have occurred.

A system, a method, and a computer program product for providing continuous data protection and long-term data protection of data in a storage system. A persistent point-in-time Image (PPI) image of the data is created and stored at a first storage. The data at the first storage is updated frequently to provide continuous data protection. A copy of the dataset is created and stored in a secondary storage. The copy of the dataset stored in a secondary storage is updated and backed up less frequently than the PPIs image of data stored at the first storage to ensure long-term data protection.

A NAS system including a NAS controller which processes file level input / output requests and controls the NAS system, and a storage apparatus having a controller which controls a storage device upon which plural volumes for storing data are represented. In the invention when at least a portion of data of a file stored on a volume is updated, the updated data is stored to an unused area of the volume, information is stored on the volume indicating that the updated data corresponding to original data stored in an original area is stored in the unused area so that subsequent accesses to the original of the updated data is directed to the updated data stored in the unused area, and the original of the updated data is retained in the original area, thereby implementing long term data archiving of the original of the updated data.

Described is a long-term data archiving system. The inventive methodology provides a method for legacy applications to access long-term archived data even if the storage system access method has changed. Data from the legacy storage system is migrated to the modern storage system. During the migration, the notations associated with the data storage units within the legacy storage system are converted to the notations of the modern storage system using one or more conversion rules. In this manner, the proper location for the migrated data within the modern storage system is determined. Upon the completion of the migration, the new location of the migrated data is preserved.

Enhanced meteorological measure-correlate-predict systems and methods. The systems and methods preferably consider publicly available, long-term data sets at each of a plurality of locations nearby a potential wind farm location. A test tower is preferably located at the potential location to collect a shorter-term data set, which, in combination with the long-term data set, is used to correlate and train embodiments of the systems and methods of the present invention using computational learning systems. Longer-term data can then be predicted for the potential wind farm location based on the correlation.

Provided is a novel physical therapy system and device that can be manually operated by a post-operative patient without the need of professional on site assistance, wherein the degree of movement of the limb or joint of interest is measured and recorded so as to provide a record of the progress of the prescribed post-operative therapy for immediate feedback to the patient as well as for long term data recordation for the therapist or physician.

A sidewall oxidation process for use during the formation of a transistor such as a flash memory cell allows for improved control of a gate oxide profile. The method comprises doping transistor source and drain regions to different doping levels, then performing a transistor sidewall oxidation using a particular process to modify the gate oxide thickness. The oxide forms at a faster rate along the source sidewall than along the drain sidewall. By using ranges within the oxidation environment described, a source side gate oxide having a variable and selectable thickness may be formed, while forming a drain-side oxide which has a single thickness where a thinner layer is desirable. This leads to improved optimization of key competing requirements of a flash memory cell, such as program and erase performance, while maintaining sufficient long-term data retention. The process may allow improved cell scalability, shortened design time, and decreased manufacturing costs.

A video processing apparatus and method are provided, the video processing apparatus comprising first stage video processing circuitry and second stage video processing circuitry. The first stage video processing circuitry receives input video data and performs one or more processing operations on the input video data to generate an intermediate representation of the input video data. The intermediate representation comprises first and second separate data portions, with the first data portion containing transient data derived from the input video data and the second data portion containing long term data derived from the input video data. Transient data is only required for processing of a single video frame, whilst the long term data is required for processing of at least two video frames. The first stage video processing circuitry is arranged to output the first and second separate data portions for storing in a buffer, and the second stage video processing circuitry then retrieves the first and second data portions from the buffer and performs one or more further processing operations on those data portions in order to generate output video data. The transient data is compressed prior to being stored in the buffer, and then decompressed when retrieved from the buffer by the second stage video processing circuitry. Such an approach enables the operations of the second stage video processing circuitry to be decoupled from the operations of the first stage video processing circuitry, whilst reducing the storage capacity requirements of the buffer.

The invention provides a cash voucher generation method adopting incremental mining in the retail trade, which mainly comprises a series of processes including using a card, excavating data stream, accessing of knowledge base and printing cash vouchers. Each customer has a membership card which is for free. When the customer uses the card for shopping, a computer automatically checks the shopping mode of the customer, if the shopping mode meets certain conditions, a cash voucher for the customer is automatically printed after a shopping receipt is printed. Concrete steps are as follows: 1. a commodity inventory of retail enterprises, discount commodity database and customer resource database are established; 2. the collection of daily database information and the excavation of long-term data are carried out; 3. commodities bought are scanned and input and each POS machine sends shopping lists of customers to a data excavating tool for generating customer consumption records after data preprocessing; and 4. cash vouchers of conventional consumables or commodities predicted to be bought are printed and discount information is stored in the customer resource database simultaneously.

The invention discloses a monitoring system and method based on a terminal device. The system comprises: a terminal device apparatus used for collecting log information of the terminal device; a cloud server connected to the terminal device apparatus through a network and used for receiving the log information of the terminal device, storing and analyzing the log information and releasing a corresponding processing strategy to the terminal device apparatus. The monitoring system and method disclosed by the invention have the beneficial effects that: the large number of data generated by long-term data collection can be applied to multi-dimension big data mining and analysis in combination with product information, industry data and client information; and the operation stability of products can be reinforced by the remote monitoring and early warning management, and the occurrence probability of some potential faults can be effectively avoided by the fault prediction processing.

The present invention is related to a ferroelectric storage medium for ultrahigh density data storage device and a method for fabricating the same. A supercell having high anisotropy is formed by controlling crystal structure and symmetry of unit structure (supercell) of artificial lattice by using an ordered alignment of predetermined ions having orientation of (perpendicular) deposition direction. Unit atomic layers of oxides having different polarization characteristic are deposited so that the supercell itself shows electric polarization having only two, upward and downward directions as one block of supercell having single-directional polarization. Oxide artificial lattices can be formed so as to have solely 180 degree domain structure, thus a single electric domain having improved anisotropic characteristic can be formed, thereby allowing capability of ultrahigh density data storage and long term data retention.

The invention provides a method and device of printing dynamic two-dimensional codes according to cashier's machine transaction data. The device is connected between a cashier's machine and a receipt printer, and comprises a data acquisition module, a data analysis module, a two-dimensional code generation module, a network communication module and a printing output module. The method is based on the device, and comprises: the data acquisition module obtaining printing data of the cashier's machine sent to the receipt printer; the data analysis module generating a unique code number for a receipt, and obtaining a transaction total amount; the two-dimensional code generation module generating a chained address according to the transaction total amount and the unique code number of the receipt, and coding the chained address in a two-dimensional code mode; the network communication module being in communication connection with a server through the GSM; and the printing output module driving the receipt printer to print the receipt. The device is a plug-and-play device, does not need netting twine or Wi-Fi connection, can dynamically print two-dimensional codes and advertisements, is convenient to use, and can upload transaction data through the network to provide basis for long-term data analysis and marketing.

A method for conserving processor registers during the execution of a program in which short term data having a short processing period and long term data having a long processing period are processed. The method includes the acts of: providing a program having a first address space for addressing the short term data and a second address space for addressing the long term data, defining within the processor a first plurality of pooled registers for storing the short term data, executing said program, allocating, responsive to the program, at least one of the pooled registers to the first address space, controlling, via said program, the allocated pool register for the duration of said short processing period, and terminating program control of the allocated pool register upon the expiration of said short processing period.

The invention relates to a big data acquisition and processing system and method based on the viewing amount of advertisements on a display screen, and belongs to the technical field of advertisement data acquisition and processing. The invention includes the steps of advertisement file import; image acquisition and storage; image data pre-processing; pre-processed data remote transmission and storage; data extraction and classification; and data statistics and analysis. The invention acquires image data automatically in real time with high acquisition efficiency and information confidentiality, obtains the real-time viewing amount of target advertisements through data classification, statistics and analysis, predicts the viewing amount of advertisements at fixed locations and time through long-term data accumulation, and assists advertisers in putting forward a reasonable advertising program.

The invention discloses an intelligent thermometer for an Android mobile phone. A temperature collection module collects the temperature of a human body. A modulus conversion module converts analog signals of the human body temperature into digital signals of the human body temperature. A wireless fidelity (Wifi) wireless transmission module transmits the digital signals of the human body temperature wirelessly. An Android data analysis module classifies the temperature of the human body collected by the temperature collection module according to the conditions such as gender, age, season and time, compares the temperature of the human body with the standard temperature value of a human body on various conditions and outputs an analysis result. A voice broadcast module issues the analysis result of the temperature of the human body. A cloud storage module stores the analysis result of the Android data analysis module for long-term data recording and analysis. According to the intelligent thermometer for the Android mobile phone, by making use of Wifi wireless transmission techniques and by means of the Android mobile phone, the temperature of the human body is analyzed, so that a user can know the personal physical condition timely. Meanwhile, the intelligent thermometer for the Android mobile phone can be also used in a long-range medical care system, so that a medical worker can acquire the measurement data of a patient in real time conveniently.

The invention discloses a recurrent neural network method for improving the time sequence data mining capability of a recommendation model. The method includes the following steps that: step 1, time gate-based network transformation is performed on a conventional neural network; step 2, interaction interval time-added time sequence data are inputted into a model; step 3, the prediction values of the model on each item of the sequence are calculated; step 4, the loss value of the model is calculated, if the loss value is lower than a preset value and tends to be stable, step 6 is executed, otherwise, step 5 is executed; step 5, the gradient of each parameter is calculated according to the loss value, the parameters are updated, the method returns to the step 3; and step 6, the interest of auser is predicted based on the current model. With the method of the invention adopted, the time information mining capacity of the neural network in the recommendation field can be improved, and themodel can process long-term general features and short-term temporary features contained in long-term data more easily, and can perform even better in a personalized recommendation system.

The invention discloses a cloud platform monitoring system and method. The system comprises a terminal equipment device which is used for collecting log information of terminal equipment; a cloud server which is connected with the terminal equipment device through a network and is used for receiving the log information of the terminal equipment, storing and analyzing the log information and issuing a corresponding processing strategy to the terminal equipment terminal; and a user side which is connected with the cloud server through the network and is used for accessing the cloud server, viewing log information and the processing strategy and sending a control command to the terminal equipment device through the cloud server. The system and the method have the beneficial effects that a great deal of data is generated through long-term data collection and multidimensional big data mining analysis can be carried out on the data through combination of product information, industry data and client information; through remote monitoring warning management, the operation stability of a product can be greatly improved; and through fault prediction processing, some potential fault occurring probabilities can be effectively avoided.

A distributed storage system for the long-term storage of data objects that is implemented utilizing one or more distinct storage sites that may be comprised of system controllers and object storage systems that act in concert to embody a single distributed storage system. A system may include a one or more types and / or instances of object storage systems. A system may include witness functionality in which a trusted user and / or client acts to maintain consistent storage policies on behalf of one or more users and / or clients. A system may further include system controllers associated with logical and / or physical sites that coordinate object, user, device, and system management functionally.