Universal Journal of Computer Sciences and Communications

Journal profile

Universal Journal of Computer Sciences and Communications(UJCSC) provides readers with a compilation of stimulating and up-to-date articles within the field of computer science and communications. The focus of the journal is on high quality research that addresses paradigms, development, applications and implications in the field of computer science. All research articles in UJCSC will undergone rigorous peer review, based on initial editor screening and anonymized refereeing by an expert reviewer.

Latest Articles

Open Access June 16, 2022 Endnote/Zotero/Mendeley (RIS) BibTeX

Clutter Suppression Algorithm of Ultrasonic Color Doppler Imaging Based on BP Neural Network

Universal Journal of Computer Sciences and Communications 2022, 1(1), 9-16. DOI: 10.31586/ujcsc.2022.315
Abstract
Aiming at the time complexity of singular value spectrum weighted Hankel SVD filtering algorithm, a clutter suppression algorithm for ultrasonic color Doppler imaging based on BP neural network model is proposed in this paper. Firstly, using the PRF data collected by portable ultrasound instrument, we verify the singular value weighted
[...] Read more.
Aiming at the time complexity of singular value spectrum weighted Hankel SVD filtering algorithm, a clutter suppression algorithm for ultrasonic color Doppler imaging based on BP neural network model is proposed in this paper. Firstly, using the PRF data collected by portable ultrasound instrument, we verify the singular value weighted Hankel SVD filtering algorithm, and the results show that the algorithm has high accuracy; Then, the BP neural network model is established based on the input and output data of singular value weighted Hankel-SVD filtering algorithm; Finally, the clutter suppression algorithm of ultrasonic color Doppler imaging based on BP neural network model is established. The experimental results show that compared with Hankel SVD filtering algorithm, the clutter suppression algorithm proposed in this paper greatly shortens the operation time without reducing the accuracy, so as to improve the real-time performance of the filtering algorithm.Full article
Figures
Article
Open Access April 22, 2022 Endnote/Zotero/Mendeley (RIS) BibTeX

Particle Swarm Network Design for UCAV Intelligence System Path Planning

Universal Journal of Computer Sciences and Communications 2022, 1(1), 1-8. DOI: 10.31586/ujcsc.2022.267
Abstract
In military battle, the unmanned combat aerial vehicle (UCAV) plays a critical role. The UCAV avoids the fatal military zone as well as radars. If there is just a narrow path between the defensive areas, it is dan-gerous. It chooses the quickest and safest path. The balance evolution technique is
[...] Read more.
In military battle, the unmanned combat aerial vehicle (UCAV) plays a critical role. The UCAV avoids the fatal military zone as well as radars. If there is just a narrow path between the defensive areas, it is dan-gerous. It chooses the quickest and safest path. The balance evolution technique is used to improve the path planning of UCAV in this study, which results in a novel artificial bee colony. To regulate the position of a swarm of UCAVs, a particle swarm network is used to communicate between the UCAVs in the swarm. According to simulation data, the particle swarm network technique is more efficient than the ABC ap-proach. The intelligence system is taught via an artificial neural network.Full article
Figures
Article

Views of

Downloads of

Citations of

Journal metrics
Publication year
2021-2022
Journal (home page) visits
5597
Article views
767
Article downloads
86
Downloads/article
43.00
APC
free