699 results about "Process analysis" patented technology

Systems and methods are disclosed for capturing data representative of user interactions with a desktop computer, and processing the capture data to identify and analyze business processes performed by the user. The disclosed system comprises listeners that capture key actuations, mouse-clicks, screen information, and other data representative of user interaction with a desktop computer. A desktop observer is provided to accept capture data from listeners, to temporarily store the capture data if necessary, and to pass the capture data to a process intelligence server. The process intelligence server includes a process discovery module the analyzes the capture data and identifies business processes corresponding to the capture data, or models business processes. A process data master storage is provided. A process analysis module is provided to determine performance metrics, best practices, application productivity impacts, compliance, and optimization analysis on the data stored in the process master storage. Methods are disclosed for capture, catalog, combination, correlation, change, compression, and certification.

The invention relates to a large scale crowd video analysis system and a method thereof. The system comprises a crowd density calculation module, a crowd prospect segmentation module, a crowd tracking module, a crowd state analysis module and an event determination module. The crowd density calculation module, the crowd prospect segmentation module and the crowd tracking module process video image data and then the crowd number, a crowd area, a crowd motion direction and a speed are acquired respectively. The crowd state analysis module carries out processing analysis based on the acquired crowd number, the crowd area, the crowd motion direction and the speed and sends an analysis result to the event determination module. The event determination module is used for determining whether a crowd event is abnormal. The crowd event means that the crowd reaching a certain scale carries out one group characteristic behavior in a monitoring area. By using the system and the method, monitoring personnel can complete intelligent trend prediction, characteristic event positioning and other tasks; and effective help is provided for prevention of emergency, suspicious clue tracking and the like.

A system and method are used for visually representing performance and flow analysis of a communication network having devices connected by links. The system includes a first memory for storing a graphical representation of the communication network and showing the devices connected by links and a second memory storing data representing performance and flows in the communication network. A processing system is operatively connected to the first and the second memory and to a display. The processing system selectively maps the data on the graphical representation of the communication network by varying visual characteristics of the devices and the links for viewing on the display.

A process simulation system that simulates the operation of the manufacturing and measurement systems used to produce and measure the articles being analyzed relative to engineering design targets, engineering design tolerances, producibility and/or quality. In one embodiment, the user is able to assess, without risk or production cost while accelerating speed-to-market, the effect of contemplated changes (i.) to engineering design targets, (ii.) to engineering design tolerances, (iii.) to tooling, (iv.) to part pre-process dimensions and (v.) to the measurement system—on manufactured part dimensions, producibility and quality (i.) without modifying tooling, (ii.) without changing part pre-process dimensions, (iii.) without producing new parts, (iv.) without measuring article characteristics on the new parts and (v.) without changing the measurement system. The simulation functionalities, according to embodiments of the present invention, enable the user to verify whether or not the contemplated changes will have the desired effect without incurring the time and expense involved in actually making the changes, producing parts, measuring part characteristics, changing the measurement system and then determining whether the changes accomplished the desired objectives.

The invention discloses a multi-mode information fusion-based classroom learning state monitoring method and system. The method specifically comprises the following steps of: acquiring an indoor sceneimage and positioning faces in the scene image; estimating face orientation postures in a face region so as to estimate attentions of students according to the face orientation postures; estimating facial expressions in the face region; acquiring skin conduction signals of the students so as to estimating physiological activation degrees of the students according to the skin conduction signals; recording interactive answer frequencies and correctness of the students on the classroom so as to estimate participation degrees of the students; and fusing four-dimensional information such as attention, learning moods, the physiological activation degrees and the classroom participation degrees of the students so as to analyze classroom learning states of the students. The invention furthermoreprovides a system for realizing the method. By applying the method and system, the learning states of students on classrooms can be objectively and correctly monitored and analyzed in real time, so that the teaching process analysis is perfected and the teaching effect differentiation degree is enhanced.

The invention relates to a method for designing automobile body structure layout. The method comprises the following steps of: 1) initially setting the parameters of a new type automobile, 2) choosing the white automobile body finite element models having similar structures and sizes, or directly building a white automobile body finite element model, 3) generating a grid enveloped model according to the white automobile body finite element model, 4) generating a body grid model according to the grid enveloped model, 5) topologically optimizing and analyzing according to a target parameter based on the body grid model, 6) according to an analyzed result and drawing an automobile body material layout diagram, 7) designing conception according to the layout diagram, and 8) designing the layout structure in detail according to the data of the conception design, performing simulating analysis of strength, NVH and impact performance CAE and formability process analysis according to the data of the detailed design of the layout structure, and modifying so as to acquire a three-dimensional digitized product model fit for volume production. The automobile body structure layout has the advantages of shortened developing period and lowered researching and developing cost.

In predictive data mining, a process and tool presents a method to compare given competing algorithms to a derived reference, such as a baseline or benchmark. A result confidence as to the suitability of the competing algorithm to a given task is generated. In an exemplary embodiment, a randomized feature acting, simple, algorithm is used to generate the baseline. In an alternative embodiment, the process and tool is used to determine learnability of the given task. A mechanism to account for overfitting of data is described.

The invention relates to a global system for analyzing credit risk, comprising a client, a server and a general database, wherein the client is connected to the server through a server interface and is equipped with a client anonymous security mechanism module, and the server comprises a basic data module, an intelligent transition module of financial statements, a credit level calculating module, a Basel II frame module, a dynamic commercial-rule configuration-method module, a credit process analyzing module and the general database. Various modules are used to supply sufficient bases for final credit risk analysis, thereby improving accuracy of the analysis result. The method comprises the most comprehensive methods for analyzing enterprise credit, is able to carry out risk analysis for various financial lending institutions, and has a wide application scope.

The invention provides a single phase grounding fault line selection method for medium voltage distribution networks based on fault process analysis, which comprises the steps of calculating neutral point voltage, determining whether the neutral point voltage exceeds a preset threshold value, diagnosing fault type, determining whether the fault is a single phase grounding fault, describing fault process, positioning line selection area, selecting line for the fault, outputting result and finishing. The method can reflect the process of fault development and evolution intuitively and constitutionally, effectively selects the line for stable grounding with single phase grounding fault time more than 500 milliseconds, and can totally capture and describe transient fault during the fault process.

The invention belongs to the technical field of building material and structure monitoring, and provides a concrete surface crack real-time monitoring system and a cracking risk dynamic assessment method. According to the cracking risk dynamic assessment method, images of the surfaces of concrete material test pieces are obtained by using CCD lens or digital cameras; processing analysis on acquired and stored digital images is performed via adopting of digital image matching method; digital image processing technique is used for identifying characteristic parameters such as position, area, length, and width of concrete cracks, and weighting classification is performed; quantified concrete cracking risk grading evaluate standards are obtained; and dynamic assessment on concrete cracking risk is realized via comparison with acquired concrete crack characteristic parameters. Existing concrete crack monitoring technique is high in cost and low in accuracy, and misjudgement on crack boundaries is caused when digital image method is used for concrete crack extraction. The concrete surface crack real-time monitoring system is capable of avoiding the disadvantages above, identifying the boundaries of the concrete surface cracks accurately, and evaluating concrete structure safety objectively and flexibly.

A methodology for business process analysis and optimization. This enables firms to analyze business processes using stochastic processing network models to estimate process key performance indicators. Based on these indicators, alternate process models can be further developed and analyzed, in order to optimize business objectives. The analysis methodology can be used for business process design (at design time) and for business process management (at run time).

A diagnostic system is provided for diagnosing a process of a plant, using a computing device. A detection unit automatically detects a faulty condition of the process based on a plurality of readings of parameters or measurements associated with the faulty condition for alerting an operator. An analysis unit determines an operating status of the plant based on the plurality of readings of parameters or measurements. A display device graphically links the faulty condition with the plurality of readings of parameters or measurements. A visualization unit displays the operating status of the plant with the readings of parameters or measurements using an alert dashboard grouping related data based on a source of the data for meaningfully illustrating relationships of the displayed data. An alert unit automatically generates a warning message based on the plurality of readings of parameters or measurements to inform the operator of the faulty condition.

The invention provides a new algorithm for an atmospheric environment capacity by using a region air quality model (RAQM). The new algorithm comprises the following computation steps: utilizing a meso-scale meteorological model to perform analog computation on an average value of year-round meteorological elements per hour in an estimation region to obtain uout and uin; utilizing the RAQM to perform analog computation on an average value of pollutant concentration per hour in an estimation year in the estimation region to obtain c; using a process analysis module to output transportation volumes Fout and Fin, dry deposition volume Ddry, wet deposition volume Dwet and chemical conversion volume T of pollutants per hour; performing the computation to obtain V and Asection; using cstandard to obtain a static volume of each atmospheric pollutant in the estimation region; and according to an expression of atmospheric environment capacity Q, performing the calculation to obtain a total environmental volume of atmospheric pollutants in the estimation region. With the adoption of the new algorithm provided by the invention, not only is the maximal capacity of atmospheres to contain the pollutants, regional transportation features of the atmospheric pollutants are reflected, but also key factors of influencing the pollutants in the estimation region are obtained, and assessment judgment basis such as more reasonable theories, more reliable data and more credible result can be provided for atmospheric environmental impact assessment.

Provided is an apparatus for automatically analyzing a program in order to detect window malicious codes that are programmed to perform malicious behaviors only when a specific event occurs or when a specific program execution condition is satisfied.

The automatic program analyzing apparatus includes an automatic analysis engine for analyzing statements in a program and generating program execution information by forcefully executing each statement in the program; an execution information database for storing the program execution information generated by the automatic analysis engine; an execution flow analyzer for analyzing execution flow of the program based on the execution information stored in the execution information database; and an execution result provider for providing a user with an execution result based on the execution flow information analyzed by the execution flow analyzer.

The embodiment of the invention provides a communication protocol consistency detection method and a communication protocol consistency detection system. The method comprises the following steps of: monitoring communication conditions of a plurality of pieces of standard equipment and detected equipment, and intercepting communication messages of the plurality of pieces of standard equipment and the detected equipment; writing the communication messages corresponding to each piece of standard equipment and the detected equipment into a database together with interception time; and determining whether communication protocols of the detected equipment in an application layer, a link layer and/or a physical layer are consistent with standards or not according to the communication messages of the detected equipment stored in the database. By the monitoring method of the embodiment of the invention, the set of novel communication protocol consistency detection system is established, can provide direct and accurate data and graphics for detection departments to bring convenience to qualitative and quantitative analysis in a communication process, and also can provide integrated detection and analysis means for terminal equipment manufacturers and provide communication process analysis data to further provide effective reference information for the equipment improvement of the manufacturers.

A method and system for aggregating data associated with a plurality of interactions between at least one customer and at least one agent for generating business process analytics is provided. The method is implemented by a computer readable medium having a plurality of code segments. The method includes the step of organizing a plurality of agents based on a predetermined criteria. The method also includes the step of selecting a range of the organized plurality of agents and identifying a plurality of interactions associated with the organized plurality of agents within the selected range. The method also includes the step of receiving voice data associated with each of the identified interactions. The method also includes the step of receiving agent call activity data associated with each of the identified interactions, the agent call activity data comprising at least one of agent on-call activity data, agent after-call activity data, and agent screen analytics and desktop recording. The method also includes the step of receiving customer call activity data associated with each of the identified interactions. The method also includes the step of receiving customer history data corresponding to each customer of each of the identified interactions. The method also includes the step of analyzing the voice data, the agent call activity data, the customer call activity data, and the customer history data associated with each of the identified interactions. In addition the method includes the step of generating business process analytics for the identified interactions, the business process analytics comprising a code segment for generating dissatisfaction data for each of the identified interactions based on the analyzed voice data, the agent call activity data, the customer call activity data, and the customer history data.

The invention discloses an intelligent robot system for motor vehicle driver training. The intelligent robot system comprises an industry supervision platform, a public service platform and a training intelligent robot. Data interaction is performed through a wireless network, so that supervision, on-line examination and approval, intelligent teaching, a mock examination and process analysis are performed on the driver training industry. Working efficiency of a driver training industry department in charge is improved, teaching cost of a driving school is reduced, the training teaching process is standardized, teaching quality is improved, learning efficiency of learners can be rapidly improved, safety in the training process is improved, and a teaching program is implemented. In this way, potential traffic dangers are reduced, and social and public life and property safety is guaranteed.

This invention relates to a customer complaint process method including five steps of complaint acceptance, analysis, distribution, process and feeding back aimed at realizing accurate localization and tracing analysis to speed up forward ability of complaint process and carrying out automatic trigger of tasks according to service rules to realize cooperation of the whole net.

The invention relates to a decentralized process monitoring method, which comprises the steps as follows: in step one, data is acquired; in step two, acquired data is processed through blocking partition; in step three, partitioned data is mapped to feature space; in step four, a systematic process is processed through modeling; and in step five, failure detection and identification are performed by utilizing principal component statistic T<2> of observed data and residual error statistic SPE of observed data. The decentralized process monitoring method has the advantages as follows: the method is suitable for a complex large-scale systematic process; the advantages of kernel partial least square method and blocking partial least square method can be achieved; the complexity of nonlinear process analysis is reduced at the same time; and the identification capability is enhanced.

The invention discloses an intelligent automobile fault diagnosis method and system. The method comprises the following steps: reading fault diagnosis operation for an ECU (Electronic Control Unit) toacquire a fault code; inquiring a fault occurrence condition according to the fault code, and acquiring state information of a current condition through a diagnosis service for each fault condition;and comparing the acquired state information with a threshold value in a database, recording abnormal conditions and data, processing analysis results, and classifying the results according to a priority level. The system comprises a fault triggering module, a fault diagnosis module, an ECU and fault processing module; and the fault diagnosis module comprises fault triggering, fault condition judgment and fault processing feedback in sequence. A fault processing strategy can quickly position a problem to assist after-sales service personnel.