31 results about "Event modeling" patented technology

An event tracking system tracks customer interactions to obtain product information that are made across plural contact mediums and displays an intuitive directed graph for analysis of the customer interactions. Each customer interaction is logged at each contact medium with a labeled reference associated with the content of the interaction, a time stamp and an identifier for the product or product user. An event modeling engine analyzes the log to identify contact sessions as contacts by the same identifier within a predetermined time so that an event tracking graphical user interface module prepares each contact session for display as a path of nodes interconnected by edges. Selected directed graph characteristics are highlighted, such as transitions from one contact medium to another or contact session volumes associated with an edge that have a relative volume compared with other contact sessions.

The present invention provides a method that allows a developer to add complex dependency logic to an existing database without having to modify the underlying structure of the database. One embodiment of the present invention provides a way to flexibly handle record state transitions by using an event model. The event model is a set of one or more items called an event. Each event in the event model has an associated event type and contains dependency logic that interrelates the events in the event model with one another. Each event represents a set of actions that are optionally contingent upon a condition. The actions and conditions that comprise an event are determine when the event is created. Each event may have a different set of actions and conditions. This enables an event to represent a number of different things. An event can represent anything it is defined to represent. In one embodiment of the present invention an event metamodel is instantiated to represent a number of different event models and the corresponding dependencies that interrelate them. The event metamodel enables the model creator to control what happens to each and every event in the event metamodel without having to modify the underlying structure of the database.

The invention discloses a logistics state monitoring method and system based on combination of sensors. The system comprises intelligent labels, each intelligent label is composed of a label casing, amicrocontroller, a sensor module, a wireless communication module and a power supply module, the label casing is mounted in the surface of a transport cargo, the microcontroller is responsible for work task scheduling of the whole system, via interconnection of different types of sensors, the sensor module can realize sensor data collection and event modeling calculation in the cargo transport environment, events include shocking, collision, overturning, falling off, unsealing and temperature and humidity imbalance, and the wireless communication module sends the sensor data, time label and event record to a monitoring mobile terminal or remote cloud server. Thus, real-time state and event record information of cargoes in the production material transmission and logistics transport process can be monitored effectively, alarm is raises against damage of cargoes timely, and safe transport of sensitive products can be monitored accurately and effectively.

The invention discloses an event modeling-based event personalized classification method and system. The method comprises the steps of 1, performing data crawling on daily news, corresponding microblogs and reviews on various forums, and establishing a news library; 2, performing deep mining on data in the news library, building corresponding event models, generating a plurality of tags for each event, and storing event information in the event library; 3, guiding different users to input required different classification conditions and keywords of all categories through a client; and 4, based on the event tags and other attributes, performing different category division on events in the event library according to category matching and category similarity, and visually displaying the events on a user platform. The system can perform personalized classification on news event data according to different requirements by fully utilizing the fast-developing internet and a large amount of emerged news data at present, can be fully connected with various news platforms conveniently, and can provide personalized information services for various platforms.

The present invention relates to a system having a business aware framework for supporting situation awareness, which provides an RFID business event modeling system having a modeling function that allows a developer to easily define RFID business events required in developing RFID applications in conformance to EPC network standards so that the user can specify the steps of acquiring and processing data using the RFID technology and define whether to infer a situation, thereby conveniently using the invention for applications based on EPC and sensor data.

The invention discloses a modeling method of a video semantic event, which comprises the steps that an original video image sequence is acquired, and subjected to graying and filtering preprocessing; an initial video image sequence is acquired, and subjected to self-adaption background modeling; an updated background image is acquired; a current image and the updated background image are subjected to pixel differencing correspondingly; a human body area in a foreground is obtained, and tracked by adopting a Meanshift algorithm; new position coordinates of each frame are acquired, and subjected to statistical analysis; and a corresponding movement behavior is judged. With the adoption of the method, under-reporting of an anomalous event is reduced; waste of manpower and material resources is avoided; and the working efficiency of monitoring equipment is improved.

Complex sound events are created by generating multiple different kinds of simpler sounds with randomly varying repetition rates. The average repetition rate can also be variable. The values of sound parameters such as wave selection, pitch distribution, pan distribution and amplitude distribution can have random distributions, as determined by various control inputs, some of which have their own random distributions.

The invention discloses a process-oriented air pollution event modeling method. The method comprises the steps of firstly, defining an air pollution event and identifying snapshots of the air pollution event at all moments according to air pollution standards; and then performing modeling on the air pollution event from a process perspective according to a spatial relationship of the same air pollution event snapshots in a continuous time sequence, thereby obtaining an air pollution process-based model. According to the modeling method provided by the invention, time and spatial information of all stages of the air pollution event can be intuitively obtained; association of air pollution events with the surrounding geographic environment and special events can be assistantly comprehended; and guidance is provided for exploring causes for the air pollution event and policies.

A method and system for documenting collaboration by a team analyzing telemetry data, where the data is used to generate a three dimensional visual display modeling the objects and events recorded by the telemetry data. One of the collaborating team members controls display of the model, and each collaborator is able to interact with the visual display and to employ a virtual camera to display and record operation of the model from a perspective selected by the member. Collaborating team members enter time-stamped notes which are displayed in sequential order for all collaborators on a common portion of a display screen upon replay of the simulation. Each team member is provided with a microphone and audio gear to collaborate by voice with other members of the team. The notes and virtual camera views coupled to the simulation provide decision makers on the team with an improved understanding of the problem modeled by the simulation, thereby facilitating an improved decision.

The invention relates to a maritime search and rescue task simulation evaluation method for an amphibious aircraft, and the method comprises the following steps: constructing a maritime search and rescue simulation model of the amphibious aircraft: constructing a simulation frame based on a multi-agent modeling method for a special task mode of the amphibious aircraft, and conducting detailed modeling on the search and rescue force intelligent agent by applying a discrete event modeling method; constructing research on a maritime search and rescue disposal scheme of the amphibious aircraft: determining an action scheme of the task before an actual search and rescue activity or analog simulation deduction is started; conducting comprehensive evaluation of the disposal schemes based on the simulation deduction data: evaluating expected execution effects of different disposal schemes under the same search and rescue task according to the simulation deduction data; and achieving simulation of maritime search and rescue tasks of the amphibious aircraft and evaluation of the expected execution effect of the search and rescue scheme, and providing technical support for actual use of the amphibious aircraft in the future.

The invention discloses an e-commerce event-driven demand prediction method based on Prophet-random forest. The method comprises the steps: obtaining the historical sales data of an e-commerce platform, and the sales data comprises the time sequence data and the user data of purchasing related products; cleaning historical sales data to improve data quality; performing scale compression on the time series data to reduce data volatility; performing event modeling based on festival activities and e-commerce platform promotion events; adding an event regression amount to the Prophet model, carrying out Prophet prediction, removing and interpolating outliers belonging to an event effect range, and carrying out random forest prediction; prophet prediction and random forest prediction results are combined; and precision evaluation is carried out to observe the generalization ability and the prediction effect of the model. According to the invention, prediction is carried out by using Prophetand a random forest according to the characteristics of an e-commerce event demand and a non-event demand, so that the prediction precision of an e-commerce event-driven demand is improved.

The invention relates to a voice interaction system and method based on power service. The method comprises a voice collection unit, a voice playing unit, and a service flow control unit, and the voice collection unit, the voice playing unit, and the service flow control unit carry out the mutual calling of data through a callback interface; the voice acquisition unit comprises a voice input module, a volume analysis module and a state display module; the voice playing unit comprises an audio stream analyzing and playing module and an operation control module; and the service process control unit comprises a service event modeling module, an event management module and a callback management module.

The invention relates to an event modeling method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring service attribute information of a data transmission party; positioning a target service field to which the data transmission party belongs in the service architecture according to the service attribute information; analyzing the service attribute information, and determining a service event contained in the data transmission party and an event type corresponding to the service event; and establishing an event model according to the target service field, the service event and the corresponding event type, and indicating a data transmission party to perform data processing according to the event model. By adopting the method, the data processing efficiency can be improved.