51 results about "Data information" patented technology

An apparatus and a method for providing user a wireless terminal operating within a wireless communication network an access to a resource storing content in a network of computing systems. A user message is transferred, the message including an identifier indicating the resource in the network of computing systems from the wireless terminal over the wireless communication network to a broadcast server having an access to the network. Communicating with the network of computing systems for retrieving the content indicated in the message. The content is broadcast over a broadcast network to the wireless terminal. The content, which is received at the wireless terminal, is presented at the terminal if the data packets of the content are substantially received at the wireless terminal.

The invention relates to an application level asynchronous task scheduling system and an application level asynchronous task scheduling method. The system comprises a data service device and an asynchronous task application service device, wherein the data service device is used for operating a database management system, storing the parameter information, example information and task processing result of an asynchronous task, and also storing a real-time task and related data information subjected to batch processing at the same time; and the asynchronous task application service device is used for performing feature recognition when receiving an asynchronous task request, searching feature words of the task in the data service data, directly outputting the results to a client terminal device if the task success execution results with the same feature exist, outputting the currently processed information to the client terminal device if the tasks with the same feature are processed, and otherwise submitting a new asynchronous task request to the data service device. The technical scheme of the invention has the advantages of avoiding unnecessary resource waste, realizing the pressure treatment balance of the system, and improving the overall performance of the system.

The invention discloses a location method of a simulation base station based on an A interface signal, which belongs to the field of mobile communication. The method comprises steps of firstly collecting the A interface signal in a Global System for Mobile Communications (GSM) network, generating a calling detail record (CDR), adding the CDR to a signal database, performing an association analysis to information in the signal database, and obtaining a statistic analysis result; then unscrambling location area codes of the simulation base station in accordance with the statistic analysis result and obtaining lists of normal cells near the simulation base station; and finally locating a geographical position and distribution of the simulation base station according to the lists of normal cells near the simulation base station. According to relative signal data information in updating of positions of mobile communication users, the method evaluates the problems of the simulation base station in the mobile communication effectively in real time, cannot be affected by regions and other factors, enables operators to know mobile communication network conditions in time, and arranges reasonably people to perform network optimization.

The invention discloses a monitoring system based on a J2EE framework and a method. The data information of a WEB container, a JVM, an operation system, business resources and other components is monitored in a mode of combining plug-in connector deployment and file configuration, and data acquisition, monitoring and diagnosis are carried out on different layers of the whole system environment. The influence of monitoring on the performance of an application system is reduced to the lowest limit.

The invention discloses a telecommunication fraud prevention system and method based on big data and machine learning. The system comprises a mobile terminal, a big data analysis terminal and a fraud interdiction governance terminal, wherein the mobile terminal is used for performing fraud detection determination on current telecommunication data according to predetermined constraint rules when receiving a short message or an incoming call message, a machine learning algorithm is adopted to detect whether the telecommunication data is a telecommunication fraud, and if the detection result is that the telecommunication data is determined as a telecommunication fraud, fraud data information is uploaded to the big data analysis terminal; the big data analysis terminal is used for performing real-time statistics on the fraud data information uploaded and reported from the mobile terminal and sending fraud early-warning information to the fraud interdiction governance terminal according to a bank card account or/and a phone number with the number of received reports exceeding a certain threshold value; and the fraud interdiction governance terminal is used for taking corresponding measures in time to interdict occurrence of a telecommunication fraud event when receiving the fraud early-warning information. The system can unite the mobile terminal, an operator, a public security institution, a bank and other institutions, quick and effective prevention can be realized, and the telecommunication fraud can be cracked down in time.

The invention provides a secondary equipment intelligent operation and maintenance method based on closed loop knowledge management. The method comprises the steps of; firstly, building a transformersubstation monitoring signal database including affiliated equipment, signal names, signal sources, signal types, signal meaning, associated signals, causes and processing rules; secondly, building asecondary equipment typical defect base according to existing data; thirdly, building a signal closed-loop analysis process; fourthly, building a secondary equipment defect knowledge base closed-loopmanagement process. With secondary equipment operation and maintenance data information as the clue and two-stage closed-loop knowledge management of a regulation and control center and transformer substations as the method, an intelligent operation and maintenance knowledge base is built; accumulated samples are handled through operation and maintenance and knowledge data are created through postmortem analysis, so that automatic defect statistics based on a sample base is realized. Therefore, conversion of operation and maintenance of secondary equipment to data-driven active and preventiveoperation and maintenance can be supported and the problems in the prior art can be solved.

The invention relates to a single-camera range measurement system and a range measurement method thereof. The single-camera range measurement system comprises a camera. The camera can convert scene imaging information into image data and transmit the image data to a controller. The camera is installed on a camera base. The camera base cooperates with a linear track. A circular shaft is arranged on the camera base. An end of a stirring connecting rod is provided with a rectangular groove. The rectangular groove is sleeved on the circular shaft of the camera base. The other end of the stirring connecting rod is fixed on a rotating shaft of a steering engine. The steering engine can realize camera position translation. The controller can realize acquisition and storage of data information of images from the camera. The controller can control the steering engine to drive the stirring connecting rod to move in the linear track so that the camera is driven to move. The controller can carry out information interaction with a communication interface. The communication interface realizes level conversion. The controller is connected to an external communication circuit by the communication interface. Through the single camera which is removable, the single-camera range measurement system realizes a range measurement effect which can be achieved by combination of two general cameras in the past. The single-camera range measurement system can be widely utilized for a range measurement system.

The invention discloses a data mining analysis method and device based on automatic exercise. The method comprises the following steps: A, setting data information to be mined; B, setting a time starting point and a time end point of data mining, and meanwhile setting time points requiring data mining within a time period from the time starting point to the time end point; C, starting an automatic exercise program, and virtually recovering system data to states corresponding to the time points from the time starting point to the time end point; D, everytimethe data state corresponding to one time point is recovered, obtaining a relative data result according to the data information to be mined; and E, sequentially obtaining a plurality of relative data results in one-to-one correspondence with the time points, and analyzing these relative data results. The method disclosed by the invention is high in efficiency and strong in operability, and can be used for quickly obtaining specific data of a reported problem in a database, so as to analyze these data to understand the generation condition of the problem and formulate a solution.

The invention discloses a movement system. The movement system comprises a portable movement device, an intelligent mobile terminal and a network server which are in communication connection with oneanother, wherein the portable movement device comprises a main body device and at least one fission device, the fission device and the main body device are detachably connected with each other, a dataprocessing module, a first communication module and a first data acquisition module are arranged inside the main body device, and a second communication module and a second data acquisition module are arranged inside the fission device; the first data acquisition module and the second data acquisition module are used for acquiring movement data information of the human body, the data processing module is used for analyzing the data information and transmitting the data processed by the first communication module to the intelligent mobile terminal or uploading to the network server; and the intelligent mobile terminal can download and run an executable program, the executable program generates a virtual scene and a user dynamic image and display the virtual scene and the user dynamic imageand performs the data interaction by virtue of the network server.

The invention discloses a ship navigation state monitoring and alarming system comprising modules such as a direction finder for determining the real-time direction information of a ship by signal communicating with a beacon station on the shore base; an anemometer for detecting wind speed information of the sea surface during the navigation of the ship; and a water temperature observer for detecting temperature information of seawater under different water depths, wherein the system further comprises an analysis module for receiving data information transmitted by the direction finder, the anemometer, the water temperature observer, the barometer, the Beidou positioning module and the angle acquisition module; the analysis module is provided with a roll angle threshold and a standard parameter in a safe navigation state of the ship; and the data analysis module compares the received data information with the internally stored standard parameters to determine whether the ship is sailing in a safe state, feeds back the state parameters under safe navigation to the shore-based command center if so, otherwise sends an alarm signal, and transmits the alarm signal to the shore-based command center.

The invention discloses a KS-CSS modulation method, and belongs to the technical field of the spread spectrum communication. In consideration of the problem that a transmission rate of the existing modulation mechanism is limited and the spectrum utilization rate is low, the two-dimensional data information is imported in the premise of unchanging the one-dimension data spread-spectrum mechanism and the transmitting power from the composite dimension angle, the spread-spectrum pseudo code is selected through a data mapping mechanism, and the two-dimension data information transmission is realized at the same time; the modulation order k is flexibly configured by using the transmission relation of the one-dimension and the two-dimension, thereby establishing the K-order composite spread-spectrum modulation mechanism. Through the method disclosed by the invention, the spread-spectrum pseudo code is dynamically updated through a two-dimension data mapping mechanism, the confidentiality ofthe one-dimension data is improved, and the two-dimension data information transmission is performed without importing additional power and occupying the extra frequency band condition. Through the method disclosed by the invention, the data transmission rate and the frequency band use ratio are improved, the aim of hiding the communication can be achieved, and the method can be applied to all spread-spectrum communication systems.

A design model of a complex virtual instrument system is suitable for real-time monitoring systems such as environmental monitoring systems , household appliances testing systems, video surveillance systems and safety monitor systems under the environment of Internet of Things, solves the problems of simplex function and complex development process of the traditional virtual instrument system, and particularly comprises the following steps: converting the development process of a real-time monitoring system into a system configuration process according to sensor information, sensor data information, data display module information, system configuration information, mapping information and the like in an abstract monitoring system, providing related access information through a mapping model, and conducting diversified graphic display and corresponding statistics and calculation on data after the configuration of each complex virtual instrument. Moreover, the complex virtual instrument system can generate a Web Service standard data access interface for the complex virtual instruments, and provide data access and deriving service.

The invention discloses a video image quality anomaly classification method based on GoogleNet, and relates to the technical field of video image quality processing, and the method comprises the following steps: obtaining original data information in advance, and carrying out the data preprocessing which comprises the steps: marking the data information, carrying out the data augmentation, splitting a data set, and generating a tfrecore file; establishing a neural network model and performing training, wherein the neural network model comprises a pre-training weight of a calibration Image Netimage data set, a convolution base of a calibration model and a dense connection classifier; and taking the trained neural network model as a video image quality anomaly classification model and outputting a result. The method is simple to implement, high in classification accuracy, high in speed, capable of detecting image quality anomalies in real time and classifying the anomalies, convenient to operate and convenient to expand.

The invention discloses a class grouping management system based on a primary and secondary school information platform. The system comprises a class grouping management unit and a data storage unit. The class grouping management unit comprises a grade information management module, a class information management module, a class grouping management module, a class grouping information query module, a class transfer management module and a class transfer information query module. Personal archives of students are managed through a student archive management unit; school roll information of the students are managed through a student school roll management unit; student attendance information is managed through a student attendance management unit; personal archives of teachers are managed through a teacher information management unit; class grouping information of a school is managed through the class grouping management unit; exam information of the students are managed through an exam management unit; and application data information of each function module is stored through a data storage management unit. The system really realizes proceduring, refinement and humanization of school work, forms a multi-function education information management system, and has the advantages of being efficient, quick and convenient.

The invention provides a data transmission system and a data transmission method. The data transmission system comprises a control center 11, wherein the control center 11 is connected with one or more subnets 13 through a major network 12; each subnet 13 is connected with at least one data acquisition equipment 14; the data acquisition equipment 14 is arranged in the field and used for collecting data information; the subnets 13 are used for obtaining the data information collected by the data acquisition equipment 14 and sending a data package containing the data information to the control center 11 through the major network 12. According to the invention, the control center is connected with one or more subnets, each subnet is connected with at least one data acquisition equipment, and the subnet obtains the data information collected by the data acquisition equipment and sends the data package containing the data information to the control center through the major network. In this way, the data information collected by the data acquisition equipment is transmitted to the control center in real time through the subnets and the major network, so that the data transmission efficiency of the field exploration is improved.

Disclosed in the invention are a smart terminal, a processing method for phone numbers in a system address book and an apparatus. The method includes the following steps: obtaining data information of phone numbers of a contact which has at least two phone numbers in the system address book of the smart terminal; according to the data information, determining a group number included in the phone numbers of the contact; judging if a corresponding phone number of an SIM card used in the smart terminal belongs to a short dialing number cluster network which includes the group number or not; and if yes, changing a default phone number of the contact into the group number which responds to a call instruction calling the contact, and calling the group number directly through the corresponding phone number of the SIM card. The processing method is capable of choosing the group number of the called user for a user automatically, and calling by directly using the group number as a called number. The method realizes simple, smart and user-friendly dialing in the calling process and reduces communication fees for both parties greatly.

The invention relates to a GPS monitoring system of a radiopharmaceutical transport vehicle. The GPS monitoring system comprises the transport vehicle and a vehicle-mounted terminal arranged on the transport vehicle, wherein a GPS receiver and a controller are arranged inside the vehicle-mounted terminal and mutually connected, and the vehicle-mounted terminal is provided with a vehicle-mounted goods package data interface. The vehicle-mounted goods package data interface of the vehicle-mounted terminal is connected with a special radiopharmaceutical transfer box through a data line. The GPS monitoring system further comprises a remote monitoring center, the remote monitoring center is provided with a server, the server is provided with an electronic map module, and the server conducts data exchange with the vehicle-mounted terminal through a public network. The GPS monitoring system has the advantages that the vehicle-mounted terminal and the special radiopharmaceutical transfer box are connected into a whole, data information of the transport vehicle and the special radiopharmaceutical transfer box is sent to the remote monitoring center through the vehicle-mounted terminal in real time, and the remote monitoring center can conduct real-time monitoring; the GPS monitoring system is safe and reliable, and improves the comprehensive monitoring and control abilities of manufacturing enterprises and related national departments.

The invention relates to a map-free indoor navigation method and system based on densely arranged AP, which belongs to the field of navigation technology. According to the invention, data information about a user during indoor activities are acquired and recorded by a trace acquisition module; when navigation is needed, a data preprocessing module processes RSSI information acquired by a reference trace acquisition module and uses the processed information, acquired step numbers of the user and information of the rotation angle of the user as reference data; current location data information acquired by a navigation trace acquisition module is preprocessed and used as input data; and the input data is matched with the reference data in virtue of a matching module, and the system gives out corresponding navigation prompts according to different position states of the user. The map-free indoor navigation method and system provided by the invention make full use of the fact that wireless AP is extensively arranged and realize self navigation of the user without an indoor map or plane graph in virtue of a novel, simple and effective path matching algorithm.

The invention discloses an electromagnetic environment situation awareness prediction method based on an association criterion, and the method comprises the following steps: S1, carrying out information collection of a battlefield radiation source in an electromagnetic environment, collecting the data generated by the radiation source, obtaining communication reconnaissance electronic information, radar reconnaissance confrontation data information, and electronic confrontation data information, summarizing the three types of information, and preprocessing the three types of information; S2, performing information set selection on the acquired information, performing optimization extraction on the selected information, performing data conversion on the processed information after cleaning redundant information, and converting the processed information into quantifiable data; S3, generating a frequent item set through an Apriori algorithm, and generating an association rule through the frequent item set; wherein in the frequent item set in the step S3, two thresholds, namely the minimum support degree min_sup and the minimum confidence degree min_conf, are generally required to be set.

The invention discloses a chronic disease condition prediction method and system based on big data and a storage medium, and the method comprises the steps: collecting the sign data information, historical diagnosis information and personal living environment information of a target object, according to the obtained information, extracting influence factors possibly influencing chronic disease development, and generating an influence factor set; establishing an important factor selection model; importing the influence factor set into the important factor selection model, generating final important influence factors, and determining weight information of the final important influence factors; analyzing and predicting the illness state of the target object according to the final important influence factors and the weight information, and generating matters needing attention and medical suggestions; introducing a probability model, and predicting chronic disease complications according to the illness state information of the target object; and displaying the illness state information of the target object, the matters needing attention and the medical suggestions according to a preset display mode.

The invention discloses an entire process quality control threshold value and early warning system and an entire process quality control threshold value and early warning method. The method comprises the following steps that: a teaching end receives evaluation contents input by a user; the teaching end transmits the evaluation contents to a plurality of learning end; each learning end performs feedback on the evaluation contents to obtain fed-back process data; each learning end transmits the process data to a cloud server; the cloud server performs analysis processing on the process data by utilizing a data mining technology, and transmits a processing result to the teaching end; and the teaching end displays the processing result, wherein the cloud server comprises a quality control threshold value and early warning module which transmits early warning information when a real-time processing result obtained according to the process data exceeds a set quality control threshold value. By the system and the method, the massive learning process data information of learners can be processed, a teacher and an educational leader can be helped to improve teaching and learning in real time, and the teaching and learning data information of school education can be monitored in real time.