Evidence map›Paper›PMID 36991586›Full record

ArticleSensors (Basel, Switzerland)2023

A Development of an IoT-Based Connected University System: Progress Report.

Slavomir Matuska, Juraj Machaj, Miroslav Hutar, Peter Brida

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Sensors Data Processing Using Machine Learning.Sensors (Basel, Switzerland) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Slavomir MatuskaFaculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia.ORCID 0000-0002-0499-0625
Juraj MachajFaculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia.ORCID 0000-0002-7544-8796
Miroslav HutarFaculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia.ORCID 0000-0002-4505-1464
Peter BridaFaculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia.ORCID 0000-0002-5442-9246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a report on the development of an Internet of Things (IoT)-based connected university system is presented. There have been multiple smart solutions developed at the university over recent years. However, the user base of these systems is limited. The IoT-based connected university system allows for integration of multiple subsystems without the need to implement all of them in the same environment, thus enabling end-users to access multiple solutions through a single common interface. The implementation is based on microservice architecture, with the focus mainly on system robustness, scalability, and universality. In the system design, four subsystems are currently implemented, i.e., the subsystem for indoor navigation, the subsystem for parking assistants, the subsystem for smart classrooms or offices, and the subsystem for news aggregation from university life. The principles of all implemented subsystems, as well as the implementation of the system as a web interface and a mobile application, are presented in the paper. Moreover, the implementation of the indoor navigation subsystem that uses signals from Bluetooth beacons is described in detail. The paper also presents results proving the concept of the Bluetooth-based indoor navigation, taking into account different placements of nodes. The tests were performed in a real-world environment to evaluate the feasibility of the navigation module that utilizes deterministic fingerprinting algorithms to estimate the positions of users' devices.

Indexed as

indoor navigationIoTmobile applicationsmart systems

Identifiers

PMID36991586
PMCPMC10057546

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.