Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1270528

AN INNOVATIVE FRAMEWORK FOR SUPPORTING BIG-MOVING- OBJECTS TRACKING, ANALYSIS AND MINING EFFECTIVELY AND EFFICIENTLY


Cuzzocrea, Alfredo; Gallo, Carmine; Mumolo, Enzo; Lenac, Kristijan
AN INNOVATIVE FRAMEWORK FOR SUPPORTING BIG-MOVING- OBJECTS TRACKING, ANALYSIS AND MINING EFFECTIVELY AND EFFICIENTLY // Journal of Data Intelligence, 4 (2023), 149-164 doi:10.26421/JDI4.1-2-3 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1270528 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
AN INNOVATIVE FRAMEWORK FOR SUPPORTING BIG-MOVING- OBJECTS TRACKING, ANALYSIS AND MINING EFFECTIVELY AND EFFICIENTLY

Autori
Cuzzocrea, Alfredo ; Gallo, Carmine ; Mumolo, Enzo ; Lenac, Kristijan

Izvornik
Journal of Data Intelligence (2577-610X) 4 (2023); 149-164

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Moving Objects ; Scan-Matching Algorithms ; Intelligent Systems ; Genetic Optimization

Sažetak
Big moving objects arise as a novel class of big data objects in emerging environments. Here, the main problems are the following: (i) tracking, which represents the baseline operation for a plethora of higher-level functionalities, such as detection, classification, and so forth ; (ii) analysis, which meaningfully marries with big data analytics scenarios. In line with these goals, in this paper we propose a novel family of scan matching algorithms based on registration, which are enhanced by using a genetic pre-alignment phase based on a novel metrics, fist, and, second, performing a finer alignment using a deterministic approach.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-295 - Ugradbeni sustavi za 3D percepciju (Lenac, Kristijan, NadSve ) ( CroRIS)

Ustanove:
Tehnički fakultet, Rijeka

Profili:

Avatar Url Kristijan Lenac (autor)

Poveznice na cjeloviti tekst rada:

doi www.rintonpress.com

Citiraj ovu publikaciju:

Cuzzocrea, Alfredo; Gallo, Carmine; Mumolo, Enzo; Lenac, Kristijan
AN INNOVATIVE FRAMEWORK FOR SUPPORTING BIG-MOVING- OBJECTS TRACKING, ANALYSIS AND MINING EFFECTIVELY AND EFFICIENTLY // Journal of Data Intelligence, 4 (2023), 149-164 doi:10.26421/JDI4.1-2-3 (međunarodna recenzija, članak, znanstveni)
Cuzzocrea, A., Gallo, C., Mumolo, E. & Lenac, K. (2023) AN INNOVATIVE FRAMEWORK FOR SUPPORTING BIG-MOVING- OBJECTS TRACKING, ANALYSIS AND MINING EFFECTIVELY AND EFFICIENTLY. Journal of Data Intelligence, 4, 149-164 doi:10.26421/JDI4.1-2-3.
@article{article, author = {Cuzzocrea, Alfredo and Gallo, Carmine and Mumolo, Enzo and Lenac, Kristijan}, year = {2023}, pages = {149-164}, DOI = {10.26421/JDI4.1-2-3}, keywords = {Moving Objects, Scan-Matching Algorithms, Intelligent Systems, Genetic Optimization}, journal = {Journal of Data Intelligence}, doi = {10.26421/JDI4.1-2-3}, volume = {4}, issn = {2577-610X}, title = {AN INNOVATIVE FRAMEWORK FOR SUPPORTING BIG-MOVING- OBJECTS TRACKING, ANALYSIS AND MINING EFFECTIVELY AND EFFICIENTLY}, keyword = {Moving Objects, Scan-Matching Algorithms, Intelligent Systems, Genetic Optimization} }
@article{article, author = {Cuzzocrea, Alfredo and Gallo, Carmine and Mumolo, Enzo and Lenac, Kristijan}, year = {2023}, pages = {149-164}, DOI = {10.26421/JDI4.1-2-3}, keywords = {Moving Objects, Scan-Matching Algorithms, Intelligent Systems, Genetic Optimization}, journal = {Journal of Data Intelligence}, doi = {10.26421/JDI4.1-2-3}, volume = {4}, issn = {2577-610X}, title = {AN INNOVATIVE FRAMEWORK FOR SUPPORTING BIG-MOVING- OBJECTS TRACKING, ANALYSIS AND MINING EFFECTIVELY AND EFFICIENTLY}, keyword = {Moving Objects, Scan-Matching Algorithms, Intelligent Systems, Genetic Optimization} }

Uključenost u ostale bibliografske baze podataka::


  • ROAD
  • CROSSREF


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font