Thinging-Oriented Modeling of Unmanned Aerial Vehicles

Al-Fedaghi, Sabah; Al-Fadhli, Jassim

doi:10.14569/ijacsa.2020.0110575

Cited by 4 publications

(11 citation statements)

References 12 publications

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“…The profile also indicates whether the store wants the system to assign drivers automatically or whether it wants to receive several applications and then make its own choice. [21]. Fig.…”

Section: Tm Modeling Examplementioning

confidence: 99%

“…The temporal data of such activities will be handled in the events model. b) Transactions ( 18): A customer requests a transaction (19); hence, the request moves to the system (20 and 21), where it is processed (22). Additionally, the customer provides the transaction request (22), which flows to the system (23).…”

Section: A Static Modelmentioning

confidence: 99%

“…Additionally, the customer provides the transaction request (22), which flows to the system (23). Based on the transaction type (21), the input amount is directed (24) to the transfer (25 and 26), withdraw (27 and 28), or deposit module (29 and 30). The account (31) is updated according to the type of transaction.…”

Section: A Static Modelmentioning

confidence: 99%

“…The TM model articulates the ontology of the world in terms of an entity that is simultaneously a thing and a machine, called a thimac [13][14][15][16][17][18][19][20][21][22]. A thimac is like a doublesided coin.…”

Section: Tm Modelingmentioning

confidence: 99%

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Conceptual Temporal Modeling Applied to Databases

Al-Fedaghi¹

2021

IJACSA

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We present a different approach to developing a concept of time for specifying temporality in the conceptual modeling of software and database systems. In the database field, various proposals and products address temporal data. The difficulty with most of the current approaches to modeling temporality is that they represent and record time as just another type of data (e.g., values of a bank balance or amounts of money), instead of appreciating that time and its values are unique, in comparison to typical data attributes. Time is an engulfing phenomenon that lifts a system's entire model from staticity to dynamism and beyond. In this paper, we propose a conceptualization of temporality involving the construction of a multilevel modeling method that progresses from static representation to system compositions that form regions of dynamism. Then, a chronology of events is used to define the system's behavior. Lastly, the events are viewed as data sources with which to build a temporal model. A case-study model of a temporal banking-management system database that extends UML and the object-constraint language is re-modeled using thinging machine (TM) modeling. The resultant TM diagrammatic specification delivers a new approach to temporality that can be extended to be a holistic monitoring system for historic data and events.

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“…The profile also indicates whether the store wants the system to assign drivers automatically or whether it wants to receive several applications and then make its own choice. [21]. Fig.…”

Section: Tm Modeling Examplementioning

confidence: 99%

Section: A Static Modelmentioning

confidence: 99%

Section: A Static Modelmentioning

confidence: 99%

Section: Tm Modelingmentioning

confidence: 99%

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Conceptual Temporal Modeling Applied to Databases

Al-Fedaghi¹

2021

IJACSA

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“…The next section presents an enhanced review of the TM that has previously been used in several papers (Al-Fedaghi and Al-Fadhli, 2020;Al-Fedaghi and Behbehani, 2020;Al-Fedaghi and Haidar, 2020;Al-Fedaghi and Al-Otaibi, 2019;Al-Fedaghi and Haidar, 2019). The remaining sections describe how the TM can be applied to FSMs.…”

Section: Structure Of the Papermentioning

confidence: 99%

Modeling the Semantics of States and State Machines

Al-Fedaghi¹

2020

Journal of Computer Science

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A system's behavior is typically specified through models such as state diagrams that describe how the system should behave. According to researchers, it is not clear what a state actually represents regarding the system to be modeled. Standards do not provide adequate definitions of or sufficient guidance on the use of states. Studies show these inconsistencies can lead to poor or incomplete specifications, which in turn could result in project delays or increase the cost of the system design. This paper aims to establish a precise definition of the notion of states and state machines, a goal motivated by system modelers' (e.g., requirement engineers') need to understand key concepts and vocabulary such as states and state machine, which are major behavioral modeling tools (e.g., in UML). "State" is the main notion of a state machine in which events drive state changes. This raises questions about the nature of these state-related notations. The semantics of these concepts is based on a new modeling methodology called the thinging machine applied to a number of examples of existing models. The thinging machine semantics is founded on five elementary actions that divide the static model into changes/states upon which events are defined.

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Modeling Network Security: Case Study of Email System

Al-Fedaghi¹,

Alnasser²

2020

IJACSA

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We study operational security in computer network security, including infrastructure, internal processes, resources, information, and physical environment. Current works on developing a security framework focus on a security ontology that contributes to applying common vocabulary, but such an approach does not assist in constructing a foundation for a holistic security methodology. We focus on defining the bounds and creating a representation of a security system by developing a diagrammatic representation (i.e. a model) as a means to describe computer network processes. The model, referred to a thinging machine, is a first step toward developing a security strategy and plan. The general aim is to demonstrate that the representation of the security system plays a key role in making thinking visible through conceptual description of the operational environment, a region in which active security operations are undertaken. We apply the proposed model for email security by conceptually describing a real email system.

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Thinging-Oriented Modeling of Unmanned Aerial Vehicles

Cited by 4 publications

References 12 publications

Conceptual Temporal Modeling Applied to Databases

Conceptual Temporal Modeling Applied to Databases

Modeling the Semantics of States and State Machines

Modeling Network Security: Case Study of Email System

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