That is why we conceived ITTI as a multimedia project that will examine how cutting-edge technologies can bring about new functional and conceptual approaches allowing for international trade transactions and negotiations to advance.
In this paper, we present a conceptual approach that allows predicting the parameters of the Convective Lognormal Transfer model from knowledge of soil moisture and the Soil Moisture Characteristic (SMC), parameterized by means of the closed-form model of Kosugi (1996).
This approach allows the conceptual framework to be built from data based entirely on the views of key stakeholders and resulting in a concept map that visually represents key concepts and their interrelationships.
In view of possible changes to shape and structure during the conceptual design activities, a parametric design approach allows incorporating modifications to the model efficiently.
Moreover, this approach allows, by means of proof theory, to open new conceptual bridges between the disciplines of Physics and Computer Science.
We believe that this latter approach allows a broader treatment of signaling bias and provides a more fundamental development and conceptual understanding of bias-dependent factors.
This approach allows the designer to obtain proper mechanical structures to achieve a desired kinematic behavior on the base of the simplest format during the conceptual design stage.
