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1
Content available remote Towards developing a cyber-physical warehouse system for automated order-picking for online shopping
Oruc Melike, Alhas Onur Berker, Usta Goksun Beren, Marah Hussein, Tezel Baris Tekin, Challenger Moharram
Annals of Computer Science and Information Systems
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2022
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Vol. 32
321--328
EN
In recent years, Cyber-Physical Systems have been studied in various application areas. Since there are many robots that need to implement both physical and cyber sides, interact with each other and the environment, and the system has to cope with many faced difficulties, a warehouse system for automated order-picking for online shopping seems to be very suitable for being modeled and implemented as Cyber-Physical systems. In this study, the planning and control of mobile robots in a store warehouse is defined from the perspectives of obstacle avoidance, collision detection, and solving the shortest path problem. Accordingly, a simulation environment is designed and a layered CPS development model is proposed. In the simulation environment, both object avoidance and collision detection algorithms are introduced and implemented, different shortest path-finding algorithms are adapted and implemented and their performances are evaluated.
2
Content available remote Ant colony based coverage optimization in wireless sensor networks
Khoshrangbaf Mina, Akram Vahid Khalilpour, Challenger Moharram
Annals of Computer Science and Information Systems
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2022
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Vol. 32
155--159
EN
Maximizing the covered area of wireless sensor networks while keeping the connectivity between the nodes is one of the challenging tasks in wireless sensor networks deployments. In this paper we propose an ant colony-based method for the problem of sensor nodes deployment to maximize the coverage area. We model sensor locations as a graph and use an adapted ant colony optimization-based method to find the best places for each sensor node. To keep the connectivity of the sensor network, every sensor must be covered by the other sensors; this is a hard constraint that is applied to the cost function as a penalty. The proposed algorithm is evaluated with different number of sensor nodes and sensing ranges. The simulation results showed that increasing the number of iterations in the algorithm generates better coverage ratio with the same number of nodes.
3
Content available remote Connectivity maintenance in IoT-based mobile networks: approaches and challenges
Akram Vahid Khalilpour, Challenger Moharram
Annals of Computer Science and Information Systems
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2021
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Vol. 26
145--149
EN
Connectivity is an important requirement in almost all IoT-based wireless networks. The multi-hop networks use intermediate nodes to create a communication path between other nodes. Hence losing some nodes may cut off all communication paths between other active nodes. Generally, the connectivity of a partitioned network can be restored by adding new or activating redundant nodes, moving available nodes to the new location, and increasing the wireless communication range of nodes. The restoration problem may have many constraints and sub-problems. The network may initially be disconnected, the nodes may be heterogeneous, reliable connections may be required between the nodes, we may have unreachable locations in the network area to put the new nodes or move exciting nodes, more than one node may fail at the same time and the expected coverage area may complicate the connectivity restoration problem. In this paper, we study the main challenges and methods of connectivity restoration in IoT-based wireless networks.
4
Content available remote An Agent-based Cyber-Physical Production System using Lego Technology
Mustafa Yalcin Metehan, Karaduman Burak, Kardas Geylani, Challenger Moharram
Annals of Computer Science and Information Systems
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2021
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Vol. 25
521--531
EN
To cope with the challenges of constructing Cyber-physical Production Systems (CPPS), many studies propose benefiting from agent systems. However, industrial processes should be mostly emulated while agent-based solutions are integrating with CPPS since it is not always possible to apply cyber-based solutions to these systems directly. The target system can be miniaturised while sustaining its functionality. Hence, in this paper, we introduce an agent-based industrial production line and discuss the system development using Lego technology while providing integration of software agents as well as focusing on low-level requirements. In this way, a CPPS is emulated while agents control the system.
5
Content available remote RE4TinyOS: A Reverse Engineering Methodology for the MDE of TinyOS Applications
Marah Hussein M., Challenger Moharram, Kardas Geylani
Annals of Computer Science and Information Systems
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2020
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Vol. 21
741--750
EN
In this paper, we introduce a tool-supported reverse engineering methodology, called RE4TinyOS to create or update application models from TinyOS programs for the construction of Wireless Sensor Networks. Integrating with an existing model-driven engineering (MDE) environment, use of RE4TinyOS enables the model-code synchronization where any modification made in the TinyOS application code can be reflected into the application model and vice versa. Conducted case studies exemplified this model-code synchronization as well as the capability of creating application models completely from already existing TinyOS applications without models, which is crucial to integrate the implementations of the third party TinyOS applications into the MDE processes. Evaluation results showed that RE4TinyOS succeeded in the reverse engineering of all main parts of two well-known TinyOS applications taken from the official TinyOS Github repository and generated models were able to be visually processed in the MDE environment for further modifications.
6
Content available remote Community Detection in Model-based Testing to Address Scalability: Study Design
Silistre Alper, Kilincceker Onur, Belli Fevzi, Challenger Moharram, Kardaş Geylani
Annals of Computer Science and Information Systems
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2020
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Vol. 21
657--660
EN
Model-based GUI testing has achieved widespread recognition in academy thanks to its advantages compared to code-based testing due to its potentials to automate testing and the ability to cover bigger parts more efficiently. In this study design paper, we address the scalability part of the model-based GUI testing by using community detection algorithms. A case study is presented as an example of possible improvements to make a model-based testing approach more efficient. We demonstrate layered ESG models as an example of our approach to consider the scalability problem. We present rough calculations with expected results, which show 9 times smaller time and space units for 100 events ESG model when a community detection algorithm is applied.
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