156 results about "Stream analytics" patented technology

The fare charging info collect system includes a filter condition management module (FCM) for setting and storing the filter condition being useful for flow analyze and control, a flow analyze module (FA), according to the filter condition, analyzes the business flow that mobile terminals access the data business, draws the data business content character code, business beacon and the business type info, a filter condition management interface module (FCMI) connecting FCM and FA, a authentication interface module (AI) sending the business content character code to the authentication server to authenticate. A fare charge interface module (FCI) sends the business beacon and the business type to the fare charging sub-system to charge. Via supporting user to set and modify dynamically the filter rule, this scheme extends user business features, e.g. QOS and safety features.

A static code analysis (SCA) tool, apparatus and method detects, prioritizes and fixes security defects and compliance violations in SAP® ABAP™ code. The code, meta information and computer system configuration settings are transformed into an interchangeable format, and parsed into an execution model. A rules engine is applied to the execution model to identify security and compliance violations. The rules engine may include information about critical database tables and critical SAP standard functions, and the step of applying the rules engine to the execution model may include the calculation of specific business risks or whether a technical defect has a business-relevant impact. In particular, an asset flow analysis may be used to determine whether critical business data is no longer protected by the computer system. Such critical business data may include credit or debit card numbers, financial data or personal data.

The utility model discloses a stream-based strategic routing method on a network processor, comprising following procedures: after receiving the message, the processing is carried out by a stream analytic module, and the heading key assignment is extracted and supplied to a stream sorting module to process the key assignment; a stream distribution module decides to send the message to the specific threading of the stream sorting module. The searching and handling are carried out by a stream searching module in the stream database to see whether the same stream mark as that of the message already exists; if the search succeeds, the message is handed to the stream distribution module for disposal; and then the message is transferred to a stream forwarding module for further processing through the stream distribution module. If the search fails, the message is transferred to a renewal module for disposal. The stream renewal module establishes relevant stream list entries and then stores them in the stream database, and then, begins a new search. The utility model can adopt different routing strategy according to various application types, so that the availability of the network is promoted.

Mobile wireless devices may receive data streams from multiple remote sensors. The sensors may have limited power supplies and memory capacity. Aspects of the invention use statistical characteristics of the sensor data streams and the cost of acquiring a single element of each stream to determine what sequence the sensors should send their data streams in. The cost of acquiring the data may be, modified dynamically, depending on parameters such as block size. Additional factors, such as a sensor's buffer capacity, may limit the amount of stream elements that may be cached and affect the sensors' stream transmit sequence. The evaluation order may be dynamically modified using an event processing engine, to reflect both changing statistics of underlying sensor stream tuples and time-varying acquisition costs associated with individual streams. This helps to increase in the operational lifetime of the sensors and associated monitoring applications.

The invention discloses a dynamically configured big data analysis system and method. The system includes a real-time data storage management module, a real-time flow analysis and calculating module, an off-line analysis module, and a visualization module. At least one assembly capable of performing dynamical configuration management is arranged in each module, for example, a data management configuration assembly, a real-time flow analysis and calculating configuration assembly, an off-line analysis and calculating configuration assembly, and a dynamic configuration assembly. The invention further provides a dynamical configuration method of the big data analysis system. A data structure and an information structure of each module are designed, and a calculating method of warning redundancy and a dynamic configuration method are provided through the dynamic configuration of a state information driving system of a warning data structure in a dynamic configuration manager. According to the invention, the system can run at an efficient big data analysis and calculating level, and the optimization process of big data analysis platform management is effectively solved.

The invention belongs to the technical field of program information security detection and particularly relates to a method for identifying permission-irrelevant private data in an Android application program. The method comprises four stages of data preprocessing, privacy related text analysis, non-permission privacy related interface element identification and static code information stream analysis based filtration; and mainly aiming at the permission-irrelevant private data in the Android application program outside the protection range of a permission model of an Android system, a machine learning technology and a conventional static information stream analysis technology are combined for identification. The private data can be marked as a sensitive data source by identifying the private data, and a basis is provided for monitoring and protection of the private data by further combination of a conventional static information stream analysis and detection technology or a dynamic stain information tracking and detection technology, so that the leakage risk of the private data of a user is lowered.

A router, switch, or other network node generates reports that contain packet level statistics and other information for a monitored media stream. The media stream reports reduce the amount of bandwidth typically required for sending monitored media stream information back to a central analysis device. However the computation of other media stream analytics, such as long term statistical averaging or quality metric computation, is performed by the central analysis device to remove some of the processing burden from the individual network nodes.

Privacy-preserving stream analytics (personal data collection method, apparatus, and/or system) from an electronic (e.g., mobile) device providing communications, such as to a network (e.g., Internet). Data queries from a data analyst are received but not directly answered with a truthful query response. Truthful responses are privatized and anonymized based on a randomized response mechanism which releases privatized data and not the original answer. Anonymously transmitting randomized responses from the data owner to data aggregator using shares, each share of which is individually transmitted to an independent aggregator, which is configured for independently and asynchronously process each share, and sharing results with one another to arrive at a query response over an aggregate number of data owners.

Embodiments of the present invention provide a system for dynamic graph network flow analysis and real time remediation execution. Information for multiple accounts is extracted to generate a plurality of dynamic directed and undirected graphs made up of multiple nodes and edges. The nodes represent at least one of the multiple accounts, and each edge represents at least an association or transfer between two nodes. A custom entropy and divergence value is determined for each pair of nodes linked by an edge, as compared to similar or related nodes and edges. A nodal set of the graphs is identified as having aggregate custom entropy and divergence value that is associated with anomalous directional flow from a first node, across intermediary nodes, to a second node. A remediation action is executed with respect to one or more accounts associated with the nodal set in response to identifying the anomalous directional flow.

The invention discloses an automatic method for analyzing constitution and diversity of a bacterial community of a 16SrRNA gene. The automatic method comprises the following steps: in 16SrRNA sequencing data analysis process, by taking original sequencing sequence data as input, calling a standard analysis tool (such as Mothur and QIIME) of the industry, and performing visualization on data finally, thereby obtaining analysis results which are easy to analyze. The automatic method includes popular main analysis items at present, meanwhile analysis contents can be modularized, relatively rich and deep data mining analysis methods can be available, different analysis module contents can be combined according to different demands, and process procedures can be relatively reasonably arranged; and in addition, analysis errors caused by different sequencing depths can be eliminated, and the analysis results can be relatively comprehensive, accurate and reliable.

The invention discloses a step specification visual recognition judgment method and system based on deep learning. The method comprises the steps: obtaining a standard operation video of a worker, extracting a standard operation track in a corresponding monitoring region according to a target detection model, and segmenting the standard operation track into a plurality of steps according to an operation specification; obtaining a current worker operation video, and judging whether the current operation track of the worker in the monitoring area is matched with the standard operation track or not; giving a corresponding judgment result and/or information prompt according to the matching result; the system comprises a video stream receiving module, a client configurator module, a video stream analysis module, a step guide client and a main control computer, according to the embodiment of the invention, the system executes the method, compares the current operation track of the worker with the standard operation track, gives the corresponding judgment result and/or information prompt to guide the operation process of the worker and judge and standardize the operation omission and errors, effectively prevents the operation error problem, and improves the yield.

The invention provides a people stream analysis, early warning and dispersion method and system, and the method comprises the steps that a first flight time TOF camera carries out the scene data collection of a first monitoring region according to a set sampling frequency, obtains the three-dimensional point cloud data of the first monitoring region, generates first monitoring data, and transmitsthe first monitoring data to a main controller; the main controller performs analysis, identification and calculation processing on the three-dimensional point cloud data to obtain a first monitoringperson number of the first monitoring region corresponding to the monitoring ID; the main controller calculates a quantity difference value between the first monitoring number of people and a first preset number of people, and records the quantity difference value in a monitoring list; the main controller determines whether the number difference value is greater than 0; when the number differencevalue is greater than or equal to 0, the main controller generates first early warning data according to the monitoring ID and the first monitoring number of people and sends the first early warning data to the dispersion unit; wherein the first early warning data comprises early warning prompt information; and the dispersion unit analyzes the early warning data and outputs early warning prompt information obtained by analysis to the playing unit for broadcasting the early warning prompt information.

The invention discloses a software data flow analysis method based on intermediate language and stain analysis. The method comprises the following steps of S1 defining instruction format and expression format; uniformly describing the general instruction types of the intermediate languages, and construting the temporary variable expressions, register expressions and stain marker expressions for the data representation in stain analysis process; S2 constructing a stain propagation rule based on an intermediate language, wherein the stain mark is represented by a taint_label; S3 dynamic tracking an analysis flow based on a program data flow of the intermediate language; S4 when the program is executed, constructing the data flow relationship between the stain source and the global variableTG, the local variable TL, and the system call function parameter TF based on the tracked stain information. The method of the invention has the advantages of better accuracy, stronger comprehensiveness and richer information.

The invention discloses an automobile exhibition hall passenger flow detection and analysis system. The automobile exhibition hall passenger flow detection and analysis system comprises shooting equipment, a human face and human body analysis server and a storage module, wherein the shooting equipment shoots picture and video data in an automobile exhibition hall and sends the pictures and the video data to the human face and human body analysis server for processing and analysis; the human face and human body analysis server comprises a pedestrian detection module, a pedestrian re-identification module and an analysis module; the storage module comprises a plurality of databases; and the pedestrian detection unit and the pedestrian re-identification module carry out processing and comparison according to the picture and video data of the shooting equipment and the storage data of the databases, update the databases and provide basic analysis data for the analysis module. The automobile exhibition hall passenger flow detection and analysis system is used for realizing passenger flow detection and analysis of the automobile exhibition hall, and provides a data basis for passenger flow analysis in combination with respective advantages of face recognition and pedestrian re-recognition; and a multi-dimensional passenger flow analysis method is provided, and a basis is provided formarketing decisions from each dimension of customer portraits, visiting tracks, interested vehicle types and arrival times.

A stream server manages connections by multiple clients. The stream server receives, sends and manages streams for each client. The stream server analyzes incoming streams and maintains a database of device signatures and a database of user profiles based on the analyzed data. The stream server receives a stream from a client, analyzes the stream to identify an applicable device signature, user profile, or both, and modifies the stream. Modification of the stream may include filtering noise, placing the user in receive-only mode, ending a session for a user, adjusting metadata, etc. In addition, modification of the stream may vary based on the role or authorization of the user, or based on commands from one or more of the users.

The embodiment of the invention provides an information flow analysis method based on a blockchain and a mobile Internet, and a cloud computing platform. The method comprises the steps of according tothe protection label of each protection consensus verification project, creating a record dynamic link library file used for recording different protection analysis rule information of respective execution protection, analyzing rule information according to protection on the basis; configuring corresponding dynamic metric tables and payment verification metric rules for the protection consensus verification items, configuring the dynamic metric tables and the payment verification metric rules to the corresponding protection consensus verification items, executing protection data flow analysis, and further performing rule updating on the record dynamic link library file according to the obtained protection information flow analysis data. Thus, in the payment verification process, protection can be carried out based on the payment verification measurement rules of multiple different protection consensus verification items, rule updating is continuously carried out according to the protection information flow analysis data, a more accurate protection analysis rule mechanism can be realized, and the payment security can be improved.

The invention relates to the field of real estate, particularly to a customer visit trajectory tracking and passenger flow analysis system and method. The system comprises a camera and a server whichare arranged at a building, wherein the server comprises an input module, a processing module and an output module, the input module is used for obtaining a video image collected by the camera, the processing module is used for extracting face images in the video image according to a face recognition algorithm, counting people number information according to the face image, and if the people number information is greater than a first preset threshold value, extracting visited client face images of which the staying duration is greater than a second preset threshold value, and the output moduleis used for matching a property consultant bound with the visited client according to the face image of the visited client and pushing prompt information to the property consultant. By adopting the scheme, the problem of low customer experience can be solved.

Methods for sensor reuse across a supply chain are disclosed. An example method may include associating a micro-climate sensor with a corresponding first item of sale of a first plurality of items of sale and generating first product flow data for the corresponding item of sale while flowing through a supply chain. The method may further include removing the micro-climate sensor from the corresponding first item of sale and associating the micro-climate sensor with a second corresponding item of sale and generating second product flow data for the second item of sale while flowing through the supply chain. The method may further include determining product flow analysis data based on the first and the second product flow data and transmitting the product flow analysis data.

The invention discloses a rail transit intelligent passenger flow analysis and guidance system. The system comprises a hardware integration platform, a vehicle-mounted intelligent passenger flow analysis and guidance system and a guidance information display part, wherein the hardware integration platform comprises a vehicle-mounted passenger flow data acquisition part, a vehicle-mounted edge processing part and a 5G vehicle-mounted data center; the vehicle-mounted passenger flow data acquisition part, the vehicle-mounted edge processing part and the 5G vehicle-mounted data center are all embedded into the vehicle-mounted intelligent passenger flow analysis and guidance system for collaborative design, so that video storage and video analysis are seamlessly connected; and by capturing passenger flow data in a vehicle, analyzing passenger flow density data and displaying passenger carrying congestion states of passenger compartments in real time, the rail transit is assisted to realizeresource integration and process optimization, so that safer, more comfortable, more refined and more automatic operation is realized.

The invention discloses a multichannel data fusion analysis method. The method comprises the following steps: crawling transaction data from a dark network by taking a malicious digital currency address as a seed, the transaction data comprising a transaction address and transaction content; combining the transaction contents of the transaction addresses with the same identity identifier; and in combination with blockchain transaction flow analysis and open network data analysis, performing information supplementation on the identity identifier of the transaction address. The invention also provides a multichannel data fusion analysis device. According to the invention, association analysis is carried out on the Internet and dark network information, so that the problems of active and passive analysis methods can be effectively solved.