A Robust Client-Server Architecture for Map Information Processing and Transmission for Distributed Visual SLAM

Kim, Jintae; Kim, Young‐Min; Zewge, Natnael S.; Kim, Jong-Hwan

doi:10.1109/ritapp.2019.8932869

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…In this study, the server can receive multiple client requests at the same time and receive each client request in parallel so that server won't be kept on hold [29]. The server uses the instances of a client object and individual threads to listen to the data that are being sent by each client while establishing new connections with the server.…”

Section: Client-server Architecturementioning

confidence: 99%

Telemedical transport layer security based platform for cardiac arrhythmia classification using quadratic time–frequency analysis of HRV signal

et al. 2022

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In this paper, we have developed a client-server model implemented as a telemedical platform for real-time remote monitoring of the cardiovascular function in patients suffering from arrhythmia. This technical platform capable of detecting and classifying in real-time cardiac arrhythmia via a Graphical User Interface (GUI) using Time-Frequency analysis methods, features extraction, features selection, and classification of the Heart Rate Variability signal recorded using a data acquisition system. The data acquisition system that we used is mainly designed around the Raspberry Pi zero which communicates with a server through the TCP/IP involving a 4G/3G connection secured by the transport layer security (TLS) for a reliably safe connection between client and server. This telemedical platform adopts continuous control and monitoring of the heart rhythm. By using this system, in case of an alarm, medical staff can easily communicate with their patients in the hospital or at home.

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Section: Client-server Architecturementioning

confidence: 99%