A Fuzzy Logic Based Optimal Network System for the Delivery of Medical Goods via Drones and Land Transport in Remote Areas

Quek, Shio Gai; Selvachandran, Ganeshsree; Sham, Rohana; Siau, Ching Sin; Ramli, Mohd Hanif Mohd; Ahmad, Noorsiah

doi:10.1007/978-3-030-96308-8_121

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Fuzzy logic is becoming an extremely suitable and satisfactory tool for the development of real-time applicable expert systems in the medical science; see, for example, a paper presenting the diversity of works on fuzzy logic to identify the risk of various diseases and also revealing a model for the direct service of patients from old age homes to intensive care units (ICU) through ambulance services [6]. A fuzzy logic-based optimal network system for the delivery of medical goods via drones and land transport in remote areas is presented in [7]. There are several hybrid algorithms, such as neuro-fuzzy systems, or adaptive genetic algorithms with fuzzy logic models that have been previously deployed for developing a clinical decision support system for oncological, psychiatric, and cardiac-based diseases.…”

Section: Introductionmentioning

confidence: 99%

Generalized Type 2 Fuzzy Differential Evolution Applied to a Sugeno Controller

Ochoa

Peraza

Castillo

et al. 2023

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The papers using fuzzy logic have generated continuous improvements for applications, and an example of this is the use of generalized type 2 fuzzy systems in real-world problems. The key idea of this paper is to present a generalized type 2 fuzzy system for augmenting differential evolution with dynamic parameter variation in order to enhance its performance and convergence. A generalized type 2 Sugeno controller was implemented with the aim of enhancing the trajectory of a robot, and an analysis of the execution time and the errors obtained by ITAE, IAE, ITSE, ISEV, RMSE, and MSE is presented. In addition, a comparison with different levels of disturbance applied to the controller was performed with the goal of demonstrating the efficiency of a type 2 fuzzy system.

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Section: Introductionmentioning

confidence: 99%

Generalized Type 2 Fuzzy Differential Evolution Applied to a Sugeno Controller

Ochoa

Peraza

Castillo

et al. 2023

Axioms

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“…Slightly different evaluations should be considered when dealing with the delivery of medical items, from first aid and medical supplies [7][8][9], such as automatic external defibrillators (AEDs) [10][11][12][13][14][15]; to medicines and pharmaceuticals [16][17][18], such as insulin [19] or vaccines [20][21][22][23]; or biological samples, such as blood [24], tissues [25], or microbiological and laboratory samples [26]. In a 2019 paper, Hii et al [19] expanded the concept of feasibility analysis of drone-based delivery, highlighting the need to focus on the delivery process itself, the transported good, and in particular, on the potential impact of UAV transportation on the ultimate quality of the delivered medicine.…”

Section: Introductionmentioning

confidence: 99%

Embedded Payload Solutions in UAVs for Medium and Small Package Delivery

et al. 2022

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Investigations about the feasibility of delivery systems with unmanned aerial vehicles (UAVs) or drones have been recently expanded, owing to the exponential demand for goods to be delivered in the recent years, which has been further increased by the COVID-19 pandemic. UAV delivery can provide new contactless delivery strategies, in addition to applications for medical items, such as blood, medicines, or vaccines. The safe delivery of goods is paramount for such applications, which is facilitated if the payload is embedded in the main drone body. In this paper, we investigate payload solutions for medium and small package delivery (up to 5 kg) with a medium-sized UAV (maximum takeoff of less than 25 kg), focusing on (i) embedded solutions (packaging hosted in the drone fuselage), (ii) compatibility with transportation of medical items, and (iii) user-oriented design (usability and safety). We evaluate the design process for possible payload solutions, from an analysis of the package design (material selection, shape definition, and product industrialization) to package integration with the drone fuselage (possible solutions and comparison of quick-release systems). We present a prototype for an industrialized package, a right prism with an octagonal section made of high-performance double-wall cardboard, and introduce a set of concepts for a quick-release system, which are compared with a set of six functional parameters (mass, realization, accessibility, locking, protection, and resistance). Further analyses are already ongoing, with the aim of integrating monitoring and control capabilities into the package design to assess the condition of the delivered goods during transportation.

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A Fuzzy Logic Based Optimal Network System for the Delivery of Medical Goods via Drones and Land Transport in Remote Areas

Cited by 2 publications

References 12 publications

Generalized Type 2 Fuzzy Differential Evolution Applied to a Sugeno Controller

Generalized Type 2 Fuzzy Differential Evolution Applied to a Sugeno Controller

Embedded Payload Solutions in UAVs for Medium and Small Package Delivery

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