Dynamic local path planning method based on neutrosophic set theory for a mobile robot

Mısır, Oğuz

doi:10.1007/s40430-023-04048-6

Cited by 5 publications

(1 citation statement)

References 27 publications

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“…Third, the neutrosophied measurements are used by the inference engine to evaluate the control rules in the neutrosophic rule base. The last module of the cycle, known as the de-neutrosophication phase, reduces this neutrosophic set to a single (crisp) value that best represents the derived set [72].…”

Section: Level 1 Filteringmentioning

confidence: 99%

An Information Security Engineering Framework for Modeling Packet Filtering Firewall Using Neutrosophic Petri Nets

Madhloom,

Noori,

Ebis

et al. 2023

Computers

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Due to the Internet’s explosive growth, network security is now a major concern; as a result, tracking network traffic is essential for a variety of uses, including improving system efficiency, fixing bugs in the network, and keeping sensitive data secure. Firewalls are a crucial component of enterprise-wide security architectures because they protect individual networks from intrusion. The efficiency of a firewall can be negatively impacted by issues with its design, configuration, monitoring, and administration. Recent firewall security methods do not have the rigor to manage the vagueness that comes with filtering packets from the exterior. Knowledge representation and reasoning are two areas where fuzzy Petri nets (FPNs) receive extensive usage as a modeling tool. Despite their widespread success, FPNs’ limitations in the security engineering field stem from the fact that it is difficult to represent different kinds of uncertainty. This article details the construction of a novel packet-filtering firewall model that addresses the limitations of current FPN-based filtering methods. The primary contribution is to employ Simplified Neutrosophic Petri nets (SNPNs) as a tool for modeling discrete event systems in the area of firewall packet filtering that are characterized by imprecise knowledge. Because of SNPNs’ symbolic ability, the packet filtration model can be quickly and easily established, examined, enhanced, and maintained. Based on the idea that the ambiguity of a packet’s movement can be described by if–then fuzzy production rules realized by the truth-membership function, the indeterminacy-membership function, and the falsity-membership functional, we adopt the neutrosophic logic for modelling PN transition objects. In addition, we simulate the dynamic behavior of the tracking system in light of the ambiguity inherent in packet filtering by presenting a two-level filtering method to improve the ranking of the filtering rules list. Results from experiments on a local area network back up the efficacy of the proposed method and illustrate how it can increase the firewall’s susceptibility to threats posed by network traffic.

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Section: Level 1 Filteringmentioning

confidence: 99%

An Information Security Engineering Framework for Modeling Packet Filtering Firewall Using Neutrosophic Petri Nets

Madhloom,

Noori,

Ebis

et al. 2023

Computers

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Path Planning of Mobile Robot Based on Improved A* Algorithm

Zhou,

Wang,

Xue

et al. 2023

Lecture Notes in Electrical Engineering

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Research on local path planning of unmanned vehicles based on improved driving risk field

Liu,

Chang,

Gao

et al. 2024

Sci Rep

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With the rapid development of the field of unmanned vehicles, motion planning based on field theory has become a research hotspot. A driving risk field is an effective means to evaluate driving safety in complex environments, and this method is frequently used in autonomous vehicle motion planning. However, existing risk field models are not sufficiently accurate for describing driving risks, often disregarding the size and driving direction restrictions of vehicles, amongst other aspects. Considering the aforementioned problems, this research improves and establishes a new risk field model, including a motor vehicle risk field, a road risk field and a pedestrian risk field. Simultaneously, it proposes a solution to the local minimum point problem caused by different scenarios and verifies the simulation in MATLAB. Finally, the Prescan and MATLAB/Simulink co-simulation platform is used to compare the traditional and improved field theory algorithms. Results show that the trajectory generated by the improved field theory algorithm is smoother, and the fluctuation amplitude and number of parameters, such as heading angle, yaw rate and roll angle during driving, are significantly reduced. These outcomes improve the stability of driving whilst smoothly reaching the target point, demonstrating high application potential for the proposed model.

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Dynamic local path planning method based on neutrosophic set theory for a mobile robot

Cited by 5 publications

References 27 publications

An Information Security Engineering Framework for Modeling Packet Filtering Firewall Using Neutrosophic Petri Nets

An Information Security Engineering Framework for Modeling Packet Filtering Firewall Using Neutrosophic Petri Nets

Path Planning of Mobile Robot Based on Improved A* Algorithm

Research on local path planning of unmanned vehicles based on improved driving risk field

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