Conceptual Modeling of an IP Phone Communication System

Abstract

In computing, a network generally denotes devices, often referred to as nodes, connected by links. Networks that are modeled with diagrams consist of hundreds of symbols, images, pictures, and icons, such as a computer, a server rack, or a cloud-based storage system. Network representations provide valuable insights into understanding the systems' underlying structures and mechanisms. Nevertheless, this unusually large number of superficial symbols and icons reflects a need for more systematic representations of the interiority of nodes. To give uniformity to this cascade of notions of basic units of nodes in network diagrams, the authors propose adoption of a new modeling methodology, called a thinging (abstract) machine (TM) (abstract machine of things) that represents all notions as a single diagrammatic machine. Because of the large number of network types, in this paper, they specifically and without loss of generality focus on IP telephone (internet protocol telephone) networks to exemplify communication networks. A real case study of IP telephone networks is modeled using TM.

Enablers and Barriers to Effective Communication about Drug Information: A Qualitative Study

“…This model and its variations are the most commonly adopted models in various fields of science, technology, and medicine (Fedaghi et al, 2009). Although the Shannon-Weaver communication model cannot explain the complex cognitive processes that occur in human communication (Fedaghi et al, 2009), this model is commonly used in communication concept modeling between practitioners and patients because of its simplicity and its scientific foundation (Bowman & Targowski, 1987;Dysart-Gale, 2009). The elements in this model include the information source, encoder, noise, decoder, and receiver (Fedaghi et al, 2009;Kuznar & Yager, 2020).…”

Thinging-Oriented Modeling of Unmanned Aerial Vehicles

“…TM also includes triggering (denoted by a dashed arrow), or the initiation of a new flow (e.g., electricity triggers a flow of air). TM modeling is used in many applications (e.g., see Al-Fedaghi [22][23][24][25]).…”

“…Upon arrival at the pickup location, the transfer request is processed again (16) to extract the docking device's identifier (17) and send it to the local location (18). At the same time, the docking device's local-location identifier (19) flows (20) to the UAV, which compares the two identifiers (21,22). If the identifiers' UAV (23) and local location (24) match, confirmations are exchanged (25).…”

“…The signal is also sent to the controller (18), where it is processed, which triggers the physical drone's auto-landing operation (19). In addition, the auto-landing operation (20) creates related data (21) that flow to the server (22), where they are stored. The data then flow to the UI (23) for display on the user's screen (24).…”

Five Generic Processes for Behavior Description in Software Engineering

“…Currently, no formal proof exists that the five TM stages are sufficient to describe all behavior processes. The TM model has been applied to many real systems, such as in phone communication [29], physical security [17], vehicle tracking [19], intelligent monitoring [32], asset management [20], information leakage [22], engineering plants [23], inventory management processes [24], procurement processes [26], public key infrastructure network architecture [26], bank check processing [35], waste water treatment [39], computer attacks [26], provenance [42], services in banking industry architecture network [31], and digital circuits [37]. Additionally, we will expend extensive effort to partially substantiate the claim of the genericity of the TM stages in different fields.…”