Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Zaid Ameen Abduljabbar
University of Basrah
Computer Science & IT Electrical & Electronics Engineering

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International Journal of Electrical and Computer Engineering

 1 
Investigating the relationship between knowledge management practices and organizational learning practices in the universities’ environment Zainab Amin Al-Sulami; Hayder Salah Hashim; Nor’ashikin Ali; Zaid Ameen Abduljabbar
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i2.pp1680-1688

Abstract

The concept of knowledge management (KM) and organizational learning (OL) has been embraced by organizations to complement each other. Higher education institutions have embraced KM and OL as a means to improve organizational efficiency. This research explores the link between KM and OL. The target population included all the 432 academicians and administrators from 35 public universities in Iraq. The sampling was selected using a stratified random sampling technique. The correlation among the components of KM and OL was tested as well as the effect of KM components on OL. The findings were derived using smart partial least square. The findings showed that there is significant correlation between components of KM and components of OL. The regression analysis showed also that the effect of KM and its components; knowledge creation, knowledge sharing, knowledge storage, knowledge application and knowledge acquisition on OL are significant. These findings provide insights to universities management on strategies to implement KM practices that can align with OL practices to assure dynamic lifelong mechanisms for the basic daily activities such as teaching, learning, researching, and supervision.
Provably secure and efficient audio compression based on compressive sensing Enas Wahab Abood; Zaid Alaa Hussien; Haifaa Assy Kawi; Zaid Ameen Abduljabbar; Vincent Omollo Nyangaresi; Junchao Ma; Mustafa A. Al Sibahee; Saad Ahmad Ali Kalafy
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp335-346

Abstract

The advancement of systems with the capacity to compress audio signals and simultaneously secure is a highly attractive research subject. This is because of the need to enhance storage usage and speed up the transmission of data, as well as securing the transmission of sensitive signals over limited and insecure communication channels. Thus, many researchers have studied and produced different systems, either to compress or encrypt audio data using different algorithms and methods, all of which suffer from certain issues including high time consumption or complex calculations. This paper proposes a compressing sensing-based system that compresses audio signals and simultaneously provides an encryption system. The audio signal is segmented into small matrices of samples and then multiplied by a non-square sensing matrix generated by a Gaussian random generator. The reconstruction process is carried out by solving a linear system using the pseudoinverse of Moore-Penrose. The statistical analysis results obtaining from implementing different types and sizes of audio signals prove that the proposed system succeeds in compressing the audio signals with a ratio reaching 28% of real size and reconstructing the signal with a correlation metric between 0.98 and 0.99. It also scores very good results in the normalized mean square error (MSE), peak signal-to-noise ratio metrics (PSNR), and the structural similarity index (SSIM), as well as giving the signal a high level of security.
Co-Authors Abdulhssein M. Abdullah Ali A. Yassin Enas Wahab Abood Haifaa Assy Kawi Hayder Salah hashim Junchao Ma Mohammed Abdulridha Hussain Mudhafar Jalil Jassim Ghrabta Mustafa A. Al Sibahe Mustafa A. Al Sibahee Mustafa A. Al Sibahee Nor’ashikin Ali Saad Ahmad Ali Kalafy Saad Ahmad Ali Kalafy Salah H. Abbdal Salam Waley Thair A. Kadhim Vincent Omollo Nyangaresi Zaid Alaa Hussien Zainab Amin Al-Sulami Zainab Amin Alsulami