Cloud Service for Protecting Computer Networks of Enterprises Using Intelligent Hardware and Software Devices, Based on Raspberry Pi Microcomputers

Ospanova, Ademi; Zharkimbekova, Aizhan; Kussepova, Lazzat; Tokkuliyeva, Aizhan; Kokkoz, M.M.

doi:10.12700/aph.19.4.2022.4.5

Cited by 11 publications

(1 citation statement)

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“…Moreover, a REST API is wrapped around the Python interface for two reasons. First, it makes separating the virtual patient from the rest of the components possible, providing easier embedding in software-in-the-loop and hardware-in-the-loop environments; the REST API [16] allows the Python wrapper to be re-implemented in any preferred language.…”

Section: Introductionmentioning

confidence: 99%

An application programming interface for the widely used academic version of the UVA/Padova Type 1 Diabetes Mellitus Metabolic Simulator

Siket

Toth

Szasz

et al. 2023

2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI)

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The UVA/Padova Type 1 Diabetes Simulator is a widely applied tool to test control algorithms among diabetes researchers. The academic version is implemented in Matlab; while Matlab is very popular in the academic field, Python is the most popular programming language. We developed an application programming interface (API) for the simulator in Python, and a representational state transfer (REST) API for additional extension route with a Python reference implementation for easier usage. The interface is designed with the specific purpose of testing control algorithms, thus it maps the functionalities that are needed to implement closed-loop control and virtual patient simulation. The developed API is tested for different simulation scenarios, showcasing identical results between the API and the programming interface of the original simulator. Additional information and the source code can be found in https://github.com/NeuroDiab/UVAPadovaAPI.

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Section: Introductionmentioning

confidence: 99%