the present study was conducted to evaluate data driven learning (ddl) combined with computer assisted language learning (call) as an approach to improving vocabulary knowledge of iranian postgraduates majoring in teaching english, english literature and translation. the purpose was to help language learners get familiar with ddl as a student-centered method taking advantage of a computer progr...

In the initial construction of unit-level virtual models in discrete production system, understanding physical entities and actual operating environment is lacking, need to be iteratively updated resemble more closely. To solve above problems, an updating method for knowledge model driven by data studied. Firstly, behavior can divided into basic functional such as forward kinematics, trajectory...

This paper we investigate the existence and uniqueness of solutions to fuzzydierential equations driven by Liu's process. For this, it is necessary to provideand prove a new existence and uniqueness theorem for fuzzy dierential equationsunder weak Lipschitz condition. Then the results allows us to considerand analyze solutions to a wide range of nonlinear fuzzy dierential equationsdriven by Liu...

Achieving the organizational objectives needs employees’ behavior and their collaboration with management. Strategic behavior-driven is depend on different factors. The aim of this article is to determine the impact of factors on strategic behavior-driven. A conceptual model was developed and tested on a survey in Social Insurance Company of Tehran which employees’ participated. Data collected ...

in this paper, an optimal adaptive fuzzy integral sliding mode control is presented to control the robot manipulator position tracking in the presence of uncertainties and permanent magnet dc motor. in the proposed control, sliding surface of the sliding mode control is defined according to the information of position tracking error, derivatives, and error integral. in order to estimate bounds ...

System identification is the task to map several related components of a real world system into a model. If this is done by transferring human expertise into a model, the process is called knowledge-driven modeling. If the system information is embedded in data-bases and the implicit existent expertise is mapped by algorithms into a model, the process is called data-driven modeling. This thesis...