There are many problems in conceptual modeling process, such as sharing difficulty in modeling conception, complexity of modeling method, difficulty in cooperative modeling by experts from different domains, and so on. To solve those problems, by establishing expression rules of metadata and semantics of geographical models, introductive geographical modeling approaches is put forward here to r...

Abstract: The Decode-Compress-Forward (DCF) is a generalization of Decode-Forward (DF) and Compress-Forward (CF). This paper investigates conditions under which DCF offers gains over DF and CF, addresses the problem of coded modulation for DCF, and evaluates the performance of DCF coded modulation implemented via low-density parity-check (LDPC) codes and polar codes. We begin by revisiting the ...

Existing computer science approaches to business modeling offer lowlevel abstractions such as data and control flows, which fail to capture the business intent underlying the interactions that are central to real-life business models. In contrast, existing management science approaches are high-level but not only are these semiformal, they are also focused exclusively on managerial concerns suc...

in the present study, an application of multilevel modeling approach to the input- output analysis are presented first, the regional input-output table of all provinces in iran was extracted based on the adjusted flegg location quotient method (aflq). second differentiation in the leontief technical coefficients and the backward and forward linkages among various activities and sectors of all p...

Electrical impedance tomography (EIT) is a non-invasive imaging technique where a conductivity distribution in a domain is reconstructed from boundary voltage measurements. The voltage data are generated by injecting currents into the domain. This is an ill-conditioned non-linear inverse problem. Small measurement or forward modeling errors can lead to unbounded fluctuations in the reconstructi...

Piezometric heads in the core of Sattarkhan earthfill dam in Iran have been analyzed in this paper via Artificial Neural Network (ANN). Single and integrated ANN models were trained and verified using each piezometer’s data, and also the water levels on the up and downstream of the dam. Therefore, in the single ANN modeling a single ANN was developed for each piezometer, whereas in the integrat...