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89 results about "Activity diagram" patented technology

Activity diagrams are graphical representations of workflows of stepwise activities and actions with support for choice, iteration and concurrency. In the Unified Modeling Language, activity diagrams are intended to model both computational and organizational processes (i.e., workflows), as well as the data flows intersecting with the related activities. Although activity diagrams primarily show the overall flow of control, they can also include elements showing the flow of data between activities through one or more data stores.

Sensor network software modeling platform development method based on unified modeling language

The invention discloses a sensor network software modeling platform development method based on a unified modeling language and a genetic algorithm. By combining with the thought of an intelligent agent and the genetic algorithm, a model suitable for sensor network software development is built with the unified modeling language; the built model is optimized by the genetic algorithm; and a modeling platform based on the model is built. A model formed the unified modeling language based on the intelligent agent is built, and by defining a meta-model of a domain model formed by the unified modeling language based on the intelligent agent, the domain model comprises a plurality of diagrammatic figures, namely, an activity diagram of a group, an intelligent agent diagram owned by the group, a group diagram to which the intelligent agent belongs, a role diagram owned by the group and a relational graph between groups. The model is optimized by the genetic algorithm, so that attribute redundancy in the group in the model is lowered, and the model with the perfect performance is obtained. According to the sensor network software modeling platform development method, a purpose that a sensor network software model is visually built is realized, and the sensor network software development difficulty is lowered.
Owner:NANJING UNIV OF POSTS & TELECOMM

GUI testing method based on UML activity diagrams

The invention provides an automatic GUI testing method based on UML activity diagrams. The method includes the first step of carrying out user behavioral modeling, and carrying out modeling on possible operation behaviors of a user on a GUI to generate corresponding UML activity diagrams, the second step of establishing a script library, wherein the script library includes all functions and parameters needing to be called in the test executing process, and the functions and the parameters are in one-to-one correspondence with activities in the UML activity diagrams generated in the user behavioral modeling step, the third step of generating testing scripts, performing traversal on the UML activity diagrams generated in the user behavioral modeling step to obtain feasible execution sequences, and according to the execution sequences and the mapping relation between the UML activity diagrams and the function in the script library to generate the testing scripts, the fourth step of executing testing, calling the testing scripts to automatically execute the testing and recording execution process and execution results, and the fifth step of analyzing the results, obtaining the testing coverage rate according to the execution results of the corresponding scripts, and analyzing occurrence reasons of program errors through playback.
Owner:EAST CHINA NORMAL UNIV

Group behavior recognition method based on video clip attention mechanism and interactive relation activity diagram modeling

The invention provides a group behavior identification method based on a video clip attention mechanism and interactive relation activity diagram modeling, which is mainly used for solving the problemof group behavior identification precision in a video monitoring scene so as to improve the group behavior identification precision and eliminate a large amount of redundant information in a video. The method comprises the following steps: firstly, extracting key fragments in a video by utilizing a fragment attention mechanism, and extracting spatial and temporal characteristics of the key fragments through a P3D network; secondly, constructing a group activity graph by using a convolution relation mechanism to capture an interaction relation between people, and optimizing the activity graphthrough multiple stages and different types of convolution operations to form dynamic description of a group relation; further, the optimized group relation activity diagram is fused with the originalP3D features through a fusion mechanism, and the purpose is to combine the P3D features of the bottom layer with the group features of the high layer to avoid feature loss; and finally, using a softmax classifier to identify the group behavior according to the fused features, so as to obtain higher group behavior identification precision and effect.
Owner:QINGDAO UNIV OF SCI & TECH
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