Evidence map›Paper›PMID 36433382›Full record

ArticleSensors (Basel, Switzerland)2022

Waste Management with the Use of Heuristic Algorithms and Internet of Things Technology.

Anna Burduk, Dagmara Łapczyńska, Joanna Kochańska, Kamil Musiał, Dorota Więcek, Ivan Kuric

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Anna BurdukFaculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland.ORCID 0000-0003-2181-4380
Dagmara ŁapczyńskaFaculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland.
Joanna KochańskaFaculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland.ORCID 0000-0002-4695-1640
Kamil MusiałFaculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland.
Dorota WięcekFaculty of Mechanical Engineering and Computer Science, University of Bielsko-Biała, 43-300 Bielsko-Biała, Poland.ORCID 0000-0001-5471-4170
Ivan KuricFaculty of Mechanical Engineering, University of Žilina, 010 26 Žilina, Slovakia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have been performed to improve the process of waste management. They were fulfilled by changing the base of waste logistics management using a combination of intelligent algorithms and the IMPACT IoT platform instead of a human factor. The research was carried out on the example of real data with respect to waste management in a given area. The proposed solution includes a program that simulates the filling of specific waste containers located in various areas. The determined aspects are inconveniences on the routes, affecting the time of moving between the receiving points and the distances between the containers. The variability of the speed and intensity of the containers filling up over time is an additional factor taken into account. The proposed methods yielded the performance of the control of the containers' filling status in real time, which apparently results in the possibility of a reaction to the current demand just in time. The proposed solution enables the improvement of the waste logistics management process, including avoiding the too-frequent emptying of containers or overfilling them. The combination of the device prototype, the simulation program, and the developed algorithms opens the possibility for further research in the smart city and optimization areas.

Indexed as

Internet of ThingsWaste ManagementAlgorithmsHeuristicsHumansTechnologygenetic algorithmheuristic methodsIMPACT IoT platformlogistics management optimizationTabu searchwaste management

Identifiers

PMID36433382
PMCPMC9695849

What OpenQuestion holds

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LicenceCC BY
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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.