Degree
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Associate Professor, PhD in Technique, Branch Ufa State Aviation Technical University in Sterlitamak |
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E-mail
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petr20071@mail.ru |
Location
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Sterlitamak |
Articles
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Task automation distribution of resources by the example of distribution of load of teachers
Allocation of resources difficult and time-consuming process, requiring much labor. Even if the
number of resources in a few hundred or a thousand difficulties arise with manual allocation taking
into account the workload of all the objects, their qualitative agreement distributed objects. One of
the problems of resource allocation is a problem in the application to optimize the educational process
on the qualitative and quantitative indicators characterizing the process. The formalization of discrete
resource allocation process between the objects of a closed system. A mathematical model, formalized
the basic indicators and marked limitation in the system. A mathematical model of the visual
arrangement of elements in the system. The technological aspects of application of data visualization
and especially the perception of the person making the decision in graphical form. Build an information
model of the system, allowing to link the original set of resources to specific system objects, taking
into account the qualitative characteristics. The main actions performed by users: enter (imports)
the initial data load and teachers, data editing, load distribution to teachers, the formation of the cards
in a predetermined pattern described in use case diagrams. Developed system of correspondence between
the qualitative characteristics of the resource and the object. Revealed features and technical
requirements for the developed information system. Static representation of the software is presented
in the form of a class diagram. dynamic model of the system is also designed in UML 2.0 notations.
Implemented software implementation of the designed system. User by dragging and dropping items
on the screen binds the current load to a specific teacher. Is a screen form of automated load-balancing
system. Conclusions about the feasibility of using the system.
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