389 results about "Network analysis" patented technology

A proactive network analysis system is a single unit for diagnosing network problems, measuring network performance, and monitoring network status in a comprehensive manner. The system is a compilation of individual tools including a distributed network packet capture data stream collector; a traffic analyzer; a performance graphing unit; a syslog recorder analyzer and archiving unit; a system availability monitor; a device configuration archiving unit; and a throughput measurement tool. The system can further provide an access list generator, an access list analyzer, a router DNS name generator and a service level agreement measurement device.

Embodiments of the invention provide a method for determining errors and metrics in a computer network. The method includes positioning an analyzer in communication with the network, capturing a data trace of the network with the analyzer, determining a network device topology from a first processing of the data trace, building user layer protocols using a second processing of the data trace and the determined device topology, determining errors in the network device topology using protocol experts applied to the user layer protocols in conjunction with the determined device topology, and displaying at least one of the device topology and the determined errors to a user.

According to one embodiment, a system features analysis circuitry and detection circuitry. The analysis circuitry features a first processing unit and a first memory that includes a filtering logic configured to produce a second plurality of objects from a received first plurality of objects. The second plurality of objects is a subset of the first plurality of objects. The detection circuitry is communicatively coupled to and remotely located from the analysis circuitry. The detection circuitry includes a second processing unit and a second memory. The second memory includes a virtual execution logic to process content within at least a first object of the second plurality of objects. The virtual execution logic is configured to monitor for behaviors, during the processing of the first object, and determine whether any or all of the monitored behaviors correspond to activities indicative that the first object is associated with a malicious attack.

The embodiment of the invention provides a geographic information system applied to a power system and a method for improving display efficiency thereof. The system comprises a data unit, an interface engine unit, a power grid data model unit, a system component unit, a map layer management component and an application component unit, wherein the data unit stores two-dimensional geospatial data and attribute information of a power grid equipment object; the interface engine unit provides an interface display control and a message mechanism and is interacted with a user; the power grid data model unit is used for accessing the data unit to establish and maintain a power grid equipment model and performing network analysis on the power grid equipment model; the system component unit is usedfor calling services of the interface engine unit and the power grid data model unit and implementing display of a map and operation of the map, wherein the services comprise map display and component operation; the map layer management component is used for providing a management tool to support the display of the map; and the application component unit comprises a power grid modeling component and is used for calling the service of the power grid data model unit through the system component unit to perform modeling on power grid equipment. The system realizes function customization and flexible expansion.

The invention discloses a microgrid energy management system which comprises an information collection and data preprocessing unit, a network analysis unit and an energy optimization unit, wherein the information collection and data preprocessing unit performs data mining preprocessing on information, collected by SCADA / PMU mixed measurement, by adopting a CIM model and combining historical section management, the network analysis unit is used for realizing mixed measurement-based microgrid state estimation on the basis of network topology analysis, performing risk analysis and assessment and sensitivity analysis to realize early warning and warning for failure threat, and adopting corresponding precautionary measures or performing emergency control, and the energy optimization unit is used for performing microgrid energy optimization scheduling by combining forecast information and system operation analysis according to the information of the microgrid state estimation. The invention also provides a method which adopts the microgrid energy management system to perform microgrid energy management. The functions of the microgrid energy management system are further perfected, and the system safety, the power supply reliability and the system control accuracy and effectiveness of a microgrid are improved.

In performing network analysis, a declarative specification of a collector element and a declarative specification of a processing element are received. The declarative specification of the collector element specifies a dynamically updating query associated with networking components of a computer network. The processing element dynamically processes dynamically updated results of the dynamically updating query. At least the collector element and the processing element are executed. An indication of a detected anomaly is provided based at least in part on a result of the execution of the collector element and the processing element.

The present invention provides a method an apparatus for adaptively refining the sampling within an IP network performance monitoring and diagnosis framework. This ability to adaptively adjust the resolution of the sampling can enable variable accuracy and detail in the related IP network analysis. The sampling resolution can be defined as, for example, the load on the network in terms of the rate of packet transmission, the statistical variance thereof and the complexity of the sampling procedure. Each sampling and analysis procedure determines one or more network parameters referred to as critical indicators. Decisions for subsequent samplings and actions are made based on the determination of these critical indicators. As such various evaluation activity levels are defined by conditions that can be checked for and detected within the context of that activity level. A feedback / feedforward process can be used to enhance the resolution of subsequent samplings, for example movement to a more detailed activity level, if the need is required. In addition, the present invention can support activities such as automated remediation wherein problems in a given IP network path that are identified during the sampling and diagnostic evaluation thereof are subsequently resolved by making changes in the path. The present invention can automate and enhance the monitoring, diagnosis and remediation processes, thereby reducing human involvement until human intervention may be required. In addition, the automatic functionality inherent within the present invention can enable the sampling to be scalable and responsive to changes in IP network conditions as they arise.

The present invention is implemented by deploying an enhanced ground fault detection and location apparatus and by using the apparatus in conjunction with specific circuit analysis methods, using the information generated by the ground fault detection and location apparatus. The ground fault detection and location apparatus comprises the functionality of a voltmeter, an ammeter, a frequency generator, and a variable power supply, thereby providing for a variety of signals and analyses to be performed on a unintentionally grounded circuit in an ungrounded AC or DC power distribution system. The apparatus includes a main unit and a remote unit, which may be a portable hand-held unit. In a first mode, the apparatus of the present invention can be used to detect ground faults. By switching to a second mode, the apparatus of the present invention can be used to locate ground faults. The methods of the present invention involve the generation of various signals by the main ground fault detection and location unit. The generated signals are introduced into the electrical distribution system and monitored by various means, including one or more remote units. By analyzing the system-level response to the generated signals, the specific location of the ground fault or faults can be more readily ascertained, thereby promoting rapid and efficient repair and recovery practices. The apparatus of the present invention may be implemented as a dedicated, permanent installation or as a temporary portable system. Additionally, the system may be implemented as an automatic computer-controlled ground fault location and detection system.

An apparatus includes a coupling, a diagnostic circuit, a cable modem circuit, a display, and a processing circuit. The coupling is configured to connect to a coaxial cable termination of a communication network, and is operable to receive broadband RF signals. The diagnostic circuit is operably coupled to the coupling to receive a first RF signal, and is operable to obtain diagnostic information regarding the first RF signal. The cable modem circuit is operably coupled to the coupling to receive a second RF signal, and is operable to generate data packets from the second RF signal. The cable modem is further operable to generate an RF transmission signal, the RF transmission signal including transmission data packets. The processing circuit is connected to the cable modem circuit and is operable to execute a web browser. The web browser is operable to cause the display to display information obtained from the data packets. The processing circuit is further operable to cause display of at least some diagnostic information.

The invention discloses a plain river network urban flood simulation method for drainage basin water system and urban pipeline network coupling. The method comprises the following steps that: S1: constructing a drainage basin runoff model; S2: constructing an urban rain pipeline network model; S3: coupling the drainage basin runoff model with the urban rain pipeline network model; and S4: carryingout urban flood simulation and prediction. By use of the method, network analysis between a drainage basin water system and an urban boundary is established, the runoff models of different scales ofthe drainage basin and the city can be linked, simulation accuracy is improved, and the method is high in regional applicability.

The invention is a system and method used for detection, analysis, and reporting on player metrics of a sporting event using video images. The main components of the invention are: grabbing a digital video image frame or grabbing an analog video image frame and converting the analog video image frame to a digital video image frame, extracting field of play markings from the video image frame(s) for use as image control points, creating a perspective projection registration model based upon the pairing of image control points with a set of user-defined control points representative of the field of play, extracting player image locations on each team from the video image frames, and applying the perspective projection transformation model to register participant image locations to their respective planimetric coordinate position on the user defined field of play. In the case of processing multiple video image frames, to correct errors across perspective projection transformation models developed on each image frame, a final bundle adjustment affine transformation model is applied to correct participant locations. Analysis of players use network analysis, pattern analysis, spatial interpolation, hypothesis testing, or forecast modeling can then be performed with reports in tabular, chart and graphic, or cartographic formats.

Analysis of an electrical circuit is performed using a computer program product (60) and a method. In accordance with the program and the method, a electrical circuit analyzer generates an admittance matrix for an electrical circuit which is being analyzed. The admittance matrix includes symbolic expressions rather than numerical expressions for at least some components of the electrical circuit. The electrical circuit analyzer linearly and algebraically solves an equation system including the admittance matrix for analyzing at least a part of the electrical circuit. The electrical circuit analyzer uses symbolic computation to solve the equation system including the admittance matrix for analyzing at least a part of the electrical circuit. The equation system including the admittance matrix can be solved in various types of analyses, including (1) determining a transfer function between specified nodes of the electrical circuit; and (2) optimizing a component of the electrical circuit. The electrical circuit analyzer sets up the admittance matrix Y by following a set of “rules”. Special rules are provided for certain telecommunications components, such as multi-winded transformers, loading coils, line-drivers, analogue cables, and filters. Inclusion of these special rules for telecommunications components enables the electrical circuit analyzer to be more applicable to telecommunications circuits than conventional analyzers. In accordance with a block / subcircuit matrix approach, an overall circuit is divided into plural subcircuits. In such case, the admittance matrix can comprise separate admittance blocks for each of plural subcircuits. Connectivity blocks which represent connectivity between the plural subcircuits are situated on a cross diagonal of the admittance matrix. The admittance matrix can then be conveniently utilized for analyzing at least a part of the electrical circuit. Advantages of this approach include recursively reducing the size of the matrices including the admittance matrix as subcircuits are added to the admittance matrix.

The invention discloses a link prediction method based on heterogeneous network representation learning, and belongs to the field of network analysis. The method includes: capturing the structure andsemantics of the heterogeneous network through random walk based on a meta-path, and generating a training sequence; training a skip-gram model by using the training sequence so as to learn network features, and mapping network nodes to a low-dimensional vector; obtaining a link prediction result by processing the similarity of the node vectors; according to the invention, the problem that most ofcurrent link prediction algorithms cannot be applied to the heterogeneous network is solved, and rich information contained in different nodes of the heterogeneous network can be obtained. Most prediction is based on neighborhood local information and structural features, the requirement for the aggregation coefficient of the network is high, the sparse network prediction effect is poor, random walk based on meta-paths can be used for sparse networks, node vectors are established in a unified mode through overall learning of the networks, and calculation is simplified.

The invention discloses a real-time processing system of a universal network data packet and a method thereof, which are characterized in that a data packet format converting module and an acquisition engine module are embedded between a data packet acquisition module and a network analysis module, wherein the data packet format converting module converts the data packet headers of various formats into data packet headers of uniform format; and the acquisition engine module is used for dispatching processing threads and distributing threads as well as managing operation of all adapter modules and filters. Therefore, the invention realizes unified data packet header format, batch processing of the data, high-efficient network analysis and simple operation, and simultaneously has the advantages of openness, expandability and independence of modules.

The invention relates to an integrated correcting system and correcting method applied to different active array antennas. The integrated correcting system includes an active array antenna, a high-precision measurement real-time compensation unit, a testing probe, an industrial personal computer, a vector network analysis meter, a RF cable, and a low frequency cable. According to the invention, the integrated correcting system is advantaged by high correcting precision, short correcting time, simplicity and easiness of implementation, strong universality and excellent industrial reliability.

The invention provides a method for measuring complex dielectric constant of a weak-loss medium. The complex dielectric constant of soil is a key parameter for associating soil attribute with microwave radiating capacity. The relationship between the soil attribute and the microwave radiating capacity can be built by accurately measuring the complex dielectric constant of the soil medium. According to the method provided by the invention, a transmission reflecting method and a free space wave method are combined; a measuring system is formed by a network analysis meter and a microwave narrow-band antenna; a semi-infinite space required by the free space method is simulated by a wave-absorbing material; the reflection coefficient of the surface of the measured medium is measured on the basis of metal plate calibration; the complex dielectric constant of the soil medium is calculated according to a double-layer plane medium transmission reflecting method principle. The complex dielectric constants of three standard mediums such as lunar soil, polytetrafluoroethylene and flesh water are simulated by the method provided by the invention, and the measuring result coincides with the theoretical model value. Compared with the existing method, the method provided by the invention has the advantages of easiness in operation and simplicity in calculation, and is an effective method for measuring the dielectric constant of the soil.

Computer-implemented techniques for verifying ESD device connectivity in an IC include the steps of: receiving an input dataset including layout parameters corresponding to the integrated circuit; identifying ESD devices based at least in part on the input dataset; extracting devices and parasitic elements in at least a portion of the integrated circuit based at least in part on the input dataset; generating a file including connectivity information and dimensional characteristics for extracted devices and parasitic elements associated with at least ESD protection circuitry in the integrated circuit; identifying at least one ESD test based on the identified ESD devices and on connectivity to the respective ESD devices; and performing a linear network analysis for each identified ESD test based at least in part on the netlist evaluated under ESD conditions, the identified ESD devices being removed from the network analysis, the network analysis being used to ensure that current densities through respective conductive connections included in the identified ESD test are less than or equal to a first prescribed threshold, and / or voltage drops associated with the respective conductive connections are less than or equal to a second prescribed threshold.

The invention discloses a botnet, Trojan horse and worm network analysis method based on logs. The method comprises the steps that step 1, a DNS log and a RADIUS log are obtained; the DNS log comprises date, time, visit information, IP request information, domain name request information, domain name request characteristics, type analysis, IP information analysis and DNS server characteristic information; step 2, log cleaning is performed on the DNS log and the RADIUS log, fields which have no influence on statistics are deleted, fields which influences a statistical result are retained or modified; step 3, a suspicious domain name which confirms with specific characteristics is obtained according to common behavior characteristics of a known botnet, Trojan horse and worm network and a computer which has virus of botnet, Trojan horse and worm; step 4, according to the user visit DNS log and RADIUS log of the suspicious domain name, the characteristics of user groups which visit the suspicious domain name are analyzed, and a domain name of the botnet, Trojan horse and worm is determined according to the characteristics of the user groups.

The invention discloses a bullet train set sound failure diagnosis system and diagnosis method, and belongs to the field of railway vehicle failure detection equipment. The system comprises an acoustic sensor array, an image sensor, a hardware processing circuit, an analysis host, a data storage server and a display terminal. The acoustic sensor array acquires sound information, and the image sensor acquires image information. The sound information and the image information are transmitted to the hardware processing circuit and preprocessed. Preprocessed data are transmitted to the analysis host by an Ethernet to perform positioning, analysis and recognition, and sound source positioning and failure recognition are realized. Original data of sound and images and failure information processed by the analysis host are transmitted to the data storage server by the Ethernet and stored, and the failure information is transmitted to the display terminal in an acoustic image mode and displayed. Sides of a bullet train set can be positioned and subjected to failure recognition, the sound information is comprehensively judged, and failure strength is indicated by the color and the brightness of an image.

A digital cell database and means for making network analysis using the database and actual data. A method for creating a database of digital cells and a device concerning the method are provided. A method for providing a service to reproduce an experiment according to a parameter to be analyzed on the basis of the results of an experiment on an actual cell using a digital cell by means of a computer system including a service requester and a service provider are also provided. The technique is solved by providing a support through which cells can be arranged in the same environment.

The embodiment of the invention discloses a multi-layer integrated circuit layout polygon alignment and simplification processing method and device. The method comprises the following steps of projecting a plurality of polygons of a multilayer integrated circuit layout to a same layer, and forming a Delaunay triangular mesh according to a Delaunay triangulation algorithm; aligning the Delaunay triangular mesh to each edge of each polygon, calculating the intersection points of the edges of each polygon, and adding the intersection points into the polygon vertexes and the Delaunay triangular mesh nodes to form a first triangular mesh; on the basis, forming the inner and outer auxiliary polygons for clamping the polygons inside and outside each polygon, and controlling the distances betweenthe inner and outer auxiliary polygons and the polygons through the distance thresholds; and aligning and simplifying the edges of each layer of polygons falling between the inner and outer auxiliarypolygons. According to the present invention, the fragmentation problem after the multilayer polygons form the parallel flat plate field domain can be reduced, the unnecessary dense grids are reduced,the analysis and solving time and the required memory of the multilayer integrated circuit are shortened, the gaps among the polygons can be reserved, and the integrated circuit layout shape is basically not changed.

A method and system for providing communication analysus of user equipment based on network analysis is disclosed. The method provides communication analysis of UE in a form as communication statistics or communication prediction by analyzing a network data collected form the NF device.

The invention provides a mixed transient-state analysis method used for a multi-energy complementary comprehensive energy system and a mixed transient-state analysis system. A mixed transient-state model of the multi-energy complementary comprehensive energy system is constructed, a mixed-step-length transient-state analysis method is used for network analysis on a multi-energy coupling system, thus system-level analysis and calculation can be effectively supported, mixed transient-state simulation of long-term transient-states-power-system electromechanical-transient-states in a non-electrical system can be carried out from a time-domain angle, and precision of whole-process simulation on the system can be improved.

The invention provides a slice resource scheduling method and a network element. The method comprises the steps of acquiring analysis data of slices; analyzing and updating the analysis data to obtaina data analysis result; and sending a data analysis result to a network slice selection function NSSF or a policy control function PCF. The NSSF obtains a data analysis result of the slice from a network analysis logic function NWDAF; and slice-level KPIs and network performance adjustment are carried out according to the data analysis result. The PCF obtains the data analysis result of the slicefrom the network analysis logic function NWDAF; and strategy configuration adjustment is carried out on different slices according to the data analysis result. According to the NWDAF provided by theembodiment of the invention, the data analysis result can be obtained according to the analysis data of the current network, the data analysis result is distributed to the NSSF or the PCF, and the NSSF or the PCF dynamically adjusts the slice resources, so that the resource utilization rate is improved, and the SLA requirements of more slice users are met.

The invention discloses a system and a method for high-speed processing and interaction of mass data. The system comprises a data transceiver module, a central processing module, and a data processing module. The data transceiver module is used for receiving and transmitting data. The central processing module opens n ring buffer areas to buffer received data according to the number n of GPUs (Graphics Processing Unit), copies data to the system memory after a certain amount of data is accumulated or within a certain period of time, directly maps the system memory to each GPU in advance, and sends the processing result through the data transceiver module after processing by the GPUs. The data processing module acquires corresponding data in the memory through DMA (Direct Memory Access) mapping, makes the corresponding GPUs carry out multi-thread high-concurrency processing, and returns the processing result to the central processing module. High-speed interaction of mass data between NIC (Network Interface Card) and GPU is realized. The mass network data processing ability and interaction ability of the system are improved. A more reliable technical support is provided for real-time network analysis.

Measurement system and method for determining a quality indicator for end-to-end data transfer in a wireless data network (1). A data network analysis system (10) is connected to the wireless data network (1) for measuring at least one system performance indicator using a predefined data transfer specimen. The measurement system (10) is further equipped with processing means (2) which are arranged for deriving the quality indicator for at least one other data transfer type from the at least one performance indicator. The present system and method also allow to analyse the contributions to the quality indicator for determining underlying causes for bad performance.

The invention belongs to the technical field of radar radiation source signal identification and evaluation in electronic countermeasure, and discloses a radar radiation source signal identification efficiency evaluation method and system. The method comprises the following steps: firstly, analyzing attributes with relevance characteristics under an evaluation criterion by adopting an intuitionistic fuzzy network analysis method to obtain corresponding attribute weights; Secondly, on the basis of the interval hesitant fuzzy thought, selecting an identification rate test result more reasonably,determining elements in an interval hesitant fuzzy initial decision matrix, and providing more accurate original data for a subsequent decision process; And finally, on the basis of the interval hesitant fuzzy thought, achieving evaluation of the radar radiation source signal recognition efficiency by using a cancellation and selection conversion method and combining an approximation ideal sorting method. The method can reasonably and effectively solve the problem of mutual independence of attributes, and can avoid low-efficiency assessment caused by doping of human factors and incapability of fully assessing all recognition schemes in a decision-making method.

The invention provides a limb movement recognition method based on the autonomous motor imagery electroencephalogram. Survey data show that when a person does the same movement, the brain can generatesimilar electroencephalogram signals, and therefore the feature signals can be extracted to achieve movement of the mechanical arm, and then the disabled can be assisted in moving. According to the method, the brain network is established to classify the actions, so that the consideration of the correlation among the regions of the brain is enhanced, and the working mechanism behind the EEG signals and the related rhythm characteristics thereof is displayed. A brand-new brain factor effect network analysis method based on a nonlinear partial directional coherence method is used for carrying out upper limb movement classification by utilizing a random forest, the classification accuracy is high, and corresponding actions are judged according to electroencephalogram signals, so that the mechanical arm moves, and the purpose of assisting the disabled in movement is achieved.