291 results about "Analysis center" patented technology

Host computer systems automatically detect malicious code. The host computer systems automatically generate and send malicious code packets of the malicious code to a local analysis center (LAC) computer system. Based on the received malicious code packets, the LAC computer system provides a signature update to a network intrusion detection system. Further, the LAC computer system also automatically sends malicious code signatures of the malicious code to a global analysis center. In this manner, the spread of the malicious code is rapidly detected and prevented.

It becomes possible for a user to check his / her own health state at a desired place without visiting inspection agencies. Furthermore, it becomes possible for a user to conveniently check his / her own health state. First, a user collects body fluid to be a measurement object, such as blood, saliva, and urine. Then, the collected body fluid is introduced to the chip (101) as a sample. Then, the sample is made to act on a detection reagent which acts on a specific component in the sample to generate a predetermined detection reaction. This chip (101) is set to the mobile terminal (127). A measurement unit (151) of the mobile terminal (127) measures an amount of a specific component in the sample by means that product of reaction is quantitated by an optical method or the like. The mobile terminal (127) transmits the measurement value to an analysis center (153).

Host computer systems automatically detect malicious code. The host computer systems automatically generate and send malicious code packets of the malicious code to a local analysis center (LAC) computer system. Based on the received malicious code packets, the LAC computer system provides a signature update to a network intrusion detection system. Further, the LAC computer system also automatically sends malicious code signatures of the malicious code to a global analysis center. In this manner, the spread of the malicious code is rapidly detected and prevented.

The present invention is directed to a mobile or stationary traffic monitoring system for detecting violations of speed limits or other traffic laws by vehicle operators and issuing citations to an operator and / or vehicle owner suspected of a violation using a digital camera to capture images of the operator and / or the vehicle, transmitting the captured images and other relevant data to an analysis center where the images and data are analyzed to determine whether to issue a citation and, if so, to issue the citation or take other appropriate law enforcement measures. The invention is also directed to a method for capturing images of a vehicle and / or vehicle operator suspected of a traffic violation, determining the time and geographic location of the suspected violation, transmitting the images and other data to an analysis center, issuing citations to violators and deriving revenue therefrom.

The invention discloses an establishment method for a network flow characteristic identification rule. The establishment comprises the following steps of: receiving a network flow sample by using an analysis centre server; acquiring load data of the network flow sample; extracting a flow characteristic from the load data; when the characteristic parameters contained in the flow characteristic reach a corresponding threshold, determining the type to which a network flow belongs corresponding to the corresponding threshold; storing the flow characteristic and the type correspondingly to generate the characteristic identification rule; and transmitting the characteristic identification rule to network flow equipment. By adopting the method of the embodiment, the analysis centre server can extract the flow characteristic of the network flow and establish the characteristic identification rule without pre-installing and operating application software for generating the network flow; and the analysis, identification and control capacity of the network flow equipment to the network flow can be continuously improved by transmitting dynamically updated characteristic identification rule tothe network flow equipment.

The invention discloses a driving behavior analysis method and a driving behavior analysis system. The driving behavior analysis method comprises the following steps: collecting all bad driving behavior data of a driver when the driver drives; uploading the bad driving behaviors data to a data analysis center through networks; multiplying times of various bad driving behaviors and corresponding weight coefficients of bad driving behaviors in the data analysis center to obtain a corresponding weight value; obtaining an assessed value by subtracting the sum of all weight values of bad driving behaviors during a driving from a preset full score of good behaviors. The driving behavior is good if the percentage of the assessed value and the full score value is greater than or equal to X, is general if the percent is greater than or equal to Y and less than X, and is bad if the percent is greater than or equal to Z and less than Y and fails if the percent is less than Z. The analysis method and the analysis system of the driving behaviors can be used for comprehensively, scientifically and accurately assessing bad driving behaviors of a driver and warning the driver in time and meanwhile a company can manage drivers conveniently.

The invention provides a system and a method for predicting the coal and gas outburst risk of a mine in real time, which relate to a system and a method for judging mine natural disaster of coal and gas outburst risk degree through combination of artificial intelligence and expert analysis. The system uses a microseismic signal for reflecting the ground stress intensity and the gas outburst quantity for reflecting the gas change as analysis parameters to be combined with the expert experience, and can improve the predicting accuracy of the coal and gas outburst risk to high than 90 percent. The system and the method are characterized in that the system mainly consists of a data collection module, a data transmission module, a real-time data tracking and analysis center and an integrated early warning module, wherein after the data collection module collects underground data, the data is transmitted to the real-time data tracking and analysis center through the data transmission modulefor calculation, analysis and reasoning, and the integrated early warning module gives the early warning when a reasoning result shows that the risk occurs. The invention is applicable to similar mines with the coal and gas outburst risk.

The invention relates to a system and a method for monitoring crowd situation. The system comprises a signal acquisition unit, a signal preprocessing unit, a crowd situation analysis center, a client and a transmission network, wherein the crowd situation analysis center is used for comprehensively analyzing feature extraction results output by the signal preprocessing unit to extract the quantity, the density and the flow direction of the crowd in the region, and obtaining a dredging and managing model of the crowd in the monitoring region according to sentiment indexes and congestion spots obtained by estimation; and the client can be used for displaying monitoring signals, preprocessed results of the signal preprocessing unit and comprehensive analysis results of the crowd situation analysis center, and giving an alarm. The technical scheme of the invention can realize the purpose of early warning the crowd congestion situation of important exits and entrances or square regions, then compute a decision model for dredging and managing the crowd in the monitoring regions, and set flow control schemes for different monitoring regions, thus the crowd situation of large public places can be simultaneously displayed, analyzed, responded and processed in real time.

The invention relates to network video monitored fault positioning system and method based on video detection and comprehensive network management. In the invention, a fault positioning and analyzing center server generates quality detecting task information according to the set of users and equipment information obtained from a network video monitoring platform, and distributes the quality detecting task information to a video quality detecting server, and the video quality detecting server carries out detection according to video images obtained from the network video monitoring platform, realizes fault positioning by being combined with network information in the fault video flowing transmitting process in detection results, and displays corresponding fault positioning and warning information to the users. Therefore, when the network video quality has problems, by using the device and the method provided by the invention, the automatic fault poisoning can be realized, the fault warning can be prompted to the users, the maintenance reference suggestion can be provided, and further the stability of network video monitoring service can be ensured. The system provided by the invention is clear in framework, realizes reasonable cost, is easy and convenient for using the method and is wide in application range.

Embodiments of the invention disclose a method, a system and a device for detecting botnet, belonging to the network communication security field. The method comprises: receiving a communication message of the network under test; picking up a botnet information message of the communication message according to the communication message; picking up a bot host IP and a controller IP according to the botnet information message; and inquiring about account numbers corresponding to the bot host IP and the controller IP according to the picked bot host IP and the controller IP. The system comprises: a network probe, a monitoring and analysis center and an authentication server. The device includes a monitoring and analysis center. The botnet detection method can detect the botnet in real time, and can also respond to the botnet in real time, thereby solving the problem that the prior art based on the ex post analysis can not detect and respond to the botnet in real time, avoiding the harm of botnet, and making the network communications more secure.

A remote forensics system based on a network is provided to allow for accessing a forensics analysis center from a remote area to perform forensic analysis. The network-based remote forensic system includes: one or more remote terminals performing forensic analysis on an evidence device in a remote area, through a virtual forensic tool when the evidence device is connected thereto; and an investigation center system connected to the remote terminals via a wide area network to provide the virtual forensic tool, processing a requirement of the remote terminals, and providing requirement processing results to the remote terminals.

The invention provides a mobile terminal which comprises a malicious behavior feature model base used for storing malicious behavior models; a sensitive resource monitoring module used for monitoring access of an application program to sensitive resource; an application behavior acquisition module used for acquiring a corresponding sensitive behavior according to monitored behavior data; an application behavior database used for storing the sensitive behavior; an application behavior analysis center used for receiving the sensitive behavior, invoking the malicious behavior models in the malicious behavior feature model base and judging whether a behavior corresponding to the sensitive behavior is a malicious behavior; and an application security center used for querying the sensitive behavior, sorting application program accesses corresponding to the sensitive behavior in order of malicious degree and setting warning levels of the application program accesses. The invention further provides a suspicious behavior detection and judgment system and a suspicious behavior detection and judgment method. The mobile terminal, the suspicious behavior detection and judgment system and the suspicious behavior detection and judgment method of the invention have the advantage of being capable of providing safety guarantee for application programs and preventing and monitoring malicious behaviors.

The invention discloses a device and method for monitoring the evolution and distribution of a mining-induced fracture. Generation, evolution and distribution of the mining-induced fracture are monitored through a method of monitoring acoustic wave or vibration generated in fracture of coal or rock. The device mainly comprises an anti-explosion acoustic wave monitor, an anti-explosion power source and a ground monitoring analysis center, wherein the anti-explosion acoustic wave monitor consists of a sonic sensor and a signal conversion and data acquisition instrument; the sonic sensor is arranged on a roadway base plate, an anchor rod tail end or a drill hole; and an acoustic wave or vibration signal monitored by the sonic sensor is collected and processed by the signal conversion and data collection instrument, and is transmitted to the ground monitoring analysis center through an optical fiber port to be subjected to processing, positioning and quantitative analyzing and be labeled on a plane, a cross section or a space diagram according to the position and size, so as to show the position and size of the fracture. The device and method provided by the invention has the beneficial effects of large monitoring range, a large amount of comprehensive monitoring information, high automation degree, strong instantaneity and capability of being applied to monitoring and forecastingthe coal rock dynamic disasters, such as rock burst, and outburst and water burst of coal and gas and the like.

A catheter tip apparatus is arranged in a catheter for the delivery and collection of an energy signal to permit analysis and / or treatment of body tissue by the energy signal. The apparatus comprises an elongated housing having a plurality of annularly disposed elongated grooves arranged thereon; and a flexible energy-bearing fiber arranged in each of the elongated grooves. Each of the fibers have a proximal end in communication with an energy delivery source or a signal analysis center. Each of the fibers also have a distalmost end in communication with a reflector for analysis and treatment of body tissue in which the catheter is disposed.

In a financial report distribution system of the present invention, an event and schedule information database that stores event and schedule data indicating independently occurring changes in a market environment is provided in an analysis center. Independently occurring events in a stock market, such as stock transfer, merger, and acquisition are defined for each user. The financial report distribution system is equipped with an event-ready function: whenever such events have occurred, a merging DB in the system is updated, and a sequence of processes for the user from information processing through distribution of the processed information is automatically activated.

The invention discloses an execution function evaluating and training system for autism spectrum disorder children, wherein a problem of evaluating and training the execution function of the autism spectrum disorder children is settled by means of advanced man-machine interaction technology and brain information sensing technology. The execution function evaluating and training system comprises the components of a student intelligent terminal, a portable electroencephalogram, a portable set-top-box, a cloud server and a parent handheld smart phone. The functional units are connected through wireless communication technology, wherein the student intelligent terminal provides a user interaction interface and records a user face expression image and spatiotemporal dynamics behaviors of buttons in real time. The portable electroencephalogram records the brain wave rhythm of the user. The data set-top-box is a system data collecting and analyzing center and analyzes the collected data through an algorithm for realizing sensing and estimating of the execution function on the user. Furthermore the man-machine interaction interface is constructed for realizing execution function training based on the analysis. The parent handheld smart phone acquires the execution function evaluating and training result of a child through the cloud server.

The monitoring device provides value to parents by assisting with monitoring their infants via a convenient sensor package, straightforward interface, and informative data. With movement, orientation, and temperature data, some strong indicators of general well-being can be monitored and conclusions extracted without the parent needing to be constantly involved. The low-power transceiver technology also means that the device can integrate with smart devices for even more convenience. Such a smart device can in turn communicate with modem large-scale data storage and analysis centers for data logging and analytics, which allows useful analytics to be passed back to the user. The advanced sensing, displaying, and analyzing of data makes the invention stands out in the field of infant monitoring devices.

The invention provides a safety monitoring early warning system and method for a running vehicle. The safety monitoring early warning system and method comprise a vehicle information monitoring system, a server, a data analysis center, a prediction module and an alarm module. A vehicle and a driver of the system are used as a whole for analysis, namely, running data of the driver operating the vehicle and real-time information of the vehicle are all uploaded to the server for the analysis, thereby achieving prediction and monitoring early warning.

The invention relates to an electric automobile power battery management and monitoring system based on cloud computing. The system comprises a battery vehicle-mounted detection and control system, abattery cloud management and monitoring system and a user terminal. The battery vehicle-mounted detection and control system acquires battery detection parameters and sends the battery detection parameters to the battery cloud management and monitoring system for cloud management and monitoring, a cloud computing analysis center in the battery cloud management and monitoring system analyzes the states of a data storage center record and standby battery data and generates a matrix-form battery estimation parameter and control command information stream, the matrix-form battery estimation parameter and control command information stream is sent to a control module in the battery vehicle-mounted detection and control system through a cloud server, and management functions such as energy control and safety protection of a power battery package are achieved. A data stream and the information stream in the matrix form are based on physical arrangement of cells in the power battery package and a control system execution part structure.

An apparatus, system, and method for the measurement, aggregation and analysis of data collected using non-contact or minimally-contacting sensors provides quality of life parameters for individual subjects, particularly in the context of a controlled trial of interventions on human subjects (e.g., a clinical trial of a drug, or an evaluation of a consumer item such as a fragrance). In particular, non-contact or minimal-contact measurement of quality-of-life parameters such as sleep, stress, relaxation, drowsiness, temperature and emotional state of humans may be evaluated, together with automated sampling, storage, and transmission to a remote data analysis center. One component of the system is that the objective data is measured with as little disruption as possible to the normal behavior of the subject. The system can also support behavioral and pharmaceutical interventions aimed at improving quality of life.

The subject invention concerns methods for the detection, diagnosis, and / or prognosis of cancer by analyzing centrosomal features. In one embodiment, a method includes receiving an image of one or more cells; selecting a region of interest in one cell; segmenting the region of interest to delineate at least one centrosomal; extracting one or more features from the segmented image; and analyzing the extracted features to diagnose cancer. In another embodiment, the progression of cancer can be predicted through analysis and classification of the extracted features. In one embodiment, the method can be performed by a quantitative cancer analysis system including a diagnosis module and / or a prognosis module. In one embodiment, the method can be performed using an image processing system.

The invention discloses a civil aviation air traffic control network security detection early warning platform. The platform comprises a security information collector, a website and application monitoring unit, a situation analysis center and a distributed computing storage node; the security information collector comprises an asset collector, a log collector, a full-flow collection system, a vulnerability collector and a security configuration collector; the website and application monitoring unit provides real-time safety monitoring; the situation analysis center adopts multiple intelligent analysis methods to analyze situation elements, perceives various network security situations and carries out security monitoring, and provides a security situation visual display and application interaction interface; and the distributed computing storage node realizes distributed storage, full-text indexing and analysis of security events. By adopting the civil aviation air traffic control network security detection early warning platform of the technical schemes provided by the invention, a long-acting monitoring mechanism and unified website monitoring and early warning can be established, so that centralized management, batch processing and automatic safety monitoring of the safety of each website are realized, and the safety risks of important websites and information systems are comprehensively summarized.

The invention relates to the technical fields of Internet of Things and big data, and discloses a park parking space block wisdom management and service guiding system. Front-end devices of the systemcomprise a vehicle sensing device, a license number plate shooting device, a parking space state acquisition device and a guiding instruction device, the front-end devices are connected with a systembackground through the Internet of Things, and the system background comprises a big data analysis center, a parking space scheduling center and a device control center. According to the system, theproportion of fixed parking spaces to temporary parking spaces is dynamically allocated through processes of block merging, distribution statistics of parking times, and prediction of parking opportunities of owners by regarding big data acquisition, analysis and prediction as the core, the utilization efficiency of the parking spaces is improved, intelligent and humanized parking guide service can be realized, and problems of low efficiency of park parking space allocation and difficult parking guidance are solved.

The embodiments of the application disclose a data processing method, a vehicle device and a UBI analysis center server in order to improve the integrity and privacy of stored driving behavior data. The UBI analysis center server obtains driving behavior data according to an intelligent contract, and sets up a corresponding insurance limit for a target vehicle. The method comprises the following steps: obtaining running data of a target vehicle; processing the running data according to a preset rule to obtain driving behavior data of the target vehicle; generating an intelligent contract according to the opening conditions of the driving behavior data; and submitting the driving behavior data and the intelligent contract to a node device of a block chain so that the node device can register the driving behavior data and the intelligent contract in the block chain and a user behavior insurance UBI analysis center server can obtain the driving behavior data according to the intelligent contract and set up an insurance limit for the target vehicle.

A diagnostic support system includes a mobile terminal (14) and an analytical center (20), which are connected to each other through a network, and judges a morbidity possibility that a user holding the mobile terminal (14) is suffering from a disease. The analytical center (20) includes a data obtaining unit (26) which obtains symptom data representing the symptom of the user from the mobile terminal (14) in correspondence with a position at which and a date on which the symptom data was made, a morbidity possibility calculation unit (36) which judges the morbidity possibility that the user is suffering from the disease, based on the symptom data and a reference parameter representing the feature generated in sufferers of the disease, and an estimation processing unit (34) which estimates the existing states of sufferers of the disease for each area and in each period, based on morbidity possibilities of a plurality of users, and corresponding positions and dates.

The invention discloses a cross-media interaction system, relating to the interaction among a television set top box, a cell phone and a computer, and in particular to a device and method for acquiring various user viewing behavior information from the television set top box and sending back to relevant servers by the cell phone and the computer. The system comprises a television set top box end connected with a broadcast television network, a cell phone end connected with a mobile communication network and a computer end connected with the internet. The television set top box end is provided with a Bluetooth or WIFI (Wireless Fidelity) communication interface and has a storage function; the cell phone end is a smart phone with a Bluetooth or WIFI function; and the computer end is provided with a Bluetooth or WIFI communication interface. By means of the cross-media interaction system, the interaction between the television set top box and the cell phone, between the television set top box and the computer and between the cell phone and the computer can be realized, the functions of acquiring various user viewing behavior information from the television set top box and sending back to a statistic analysis center by the cell phone and the computer can be realized, the functions of signaling control, data transmission, resource sharing and the like among different network terminal equipment are achieved, and creative applications and noel business modes under the interconnection conditions can be further explored.

The invention provides a website testing system. The website testing system comprises a task center, an intelligent client side, a data center, an analysis center and a test report center, wherein the task center is used to receive a test target defined by a tester and generate and store a test task according to the test target; the codes of the intelligent client side are embedded in the webpages of a host website, the intelligent client side is used to obtain the test task generated by the task center when the host website is accessed, perform a test according to the test task and report the test result after the test; the data center is used to receive and analyze the test result; the analysis center is used to collect and analyze the test result; and the test report center is used to combine the analyzed test result with user report and configuration and generate a diagram. The intelligent client side of the website testing system can be directly embedded in the host website, thus solving the problem that when the existing website testing system is used to perform website testing, the client side is needed to be hung up or nodes are needed to arrange in backbone networks so as to increase the cost of arranging test client side.

The invention discloses a method and system for carrying out multi-dimensional statistic analysis on a large number of DNS journals. The system comprises a plurality of DNS data collection modules connected successively, a DNS data summarization center, a cloud server, a DNS journal processing center, a DNS journal statistic analysis center and a database. The DNS data summarization center is used for receiving and summarizing DNS journal data collected by the plurality of DNS data collection modules, and uploading the summarized lots of DNS journal data termly to the cloud server. The DNS journal processing center is used for receiving a DNS journal data processing task submitted by the cloud server, downloading the large amount of DNS journal data from the cloud server, and performing the distributed processing on the large amount of DNS journal data. The DNS journal statistic analysis center is used for performing statistics and analysis on the processed DNS journal data based on given multiple dimensions, generating a multi-dimensional DNS journal data statistics and analysis result, and storing the obtained DNS journal data statistics and analysis result into the database.

The invention provides an artificial lateral line pressure detection method which comprises the following steps: step 10, selecting a streamlined underwater robot, and determining the pressure trace of the underwater robot by a simulation mode; step 20, arraying pressure sensors along the pressure trace and around an axial line; step 30, putting the underwater robot in different water flow states, acquiring the pressure data of the current state by utilizing each pressure sensor, and uploading the pressure data to an analysis center; step 40, using the analysis center to import the pressure data into a neural network identification tool, and training to obtain a neural network model with an identification ability; and step 50, importing the acquired underwater data into the neural network model so that the flow field / motion state of the position can be determined. According to the invention, a set of artificial lateral line system is developed by utilizing the MEMS technology, and machine learning is carried out through the pressure data acquired by the sensors in the system, thereby realizing development of the ability of the underwater robot for environment identification.