JSCI Published Issues

Author: NZAYISENGA HABARUGIRA Marcellin

Date: May 13, 2026

Category: Other

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Abstract—Wireless communication systems have been experiencing a dramatic increase in data traffic volume due the introduction of new services and applications in every up-to-date generation of mobile wireless communication technology. In 5G and beyond communication systems, the emerging services and user cases (mission critical communication, Massive Internet of things Enhanced Mobile Broadband, and ultra-reliable communication) are envisaged to transform the digital society in the industrial sector. The heterogeneous cellular network (HCN) technology is suitable for handling the data traffic and fading, thus resulting in a high network coverage capacity and data rate of the system. However, deployment of numerous base stations in a cellular network presents crucial challenges owing to their significantly high-power consumption. To this end, this paper proposes a technique comprising a topology of distributed access points (APs) in the network coverage area for wireless communications to improve the energy efficiency by minimizing power consumption. The AP operations are controlled by a powerful central processing unit (CPU). The simulation results demonstrated that the proposed network topology significantly improves energy efficiency (approximately 60%) compared to the conventional heterogeneous cellular network, thus proving itself to be relatively environment friendly.

Author: CORNELIUS D. CHON

Date: April 23, 2026

Category: Data Security & Steganography

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Abstract—this study proposes a novel lossless data embedding technique for medical images using a difference expansion using a difference expansion approach to enhance secure data transmission. The method focuses on embedding confidential information within radiological images while maintaining high image quality and ensuring full reversibility. Unlike existing techniques that struggle to balance payload capacity and imperceptibility, the proposed algorithm optimizes pixel value differences, particularly along image rows, to increase embedding efficiency with minimal distortion. The approach selectively modifies pixels under controlled conditions and records embedding locations using a key, enabling accurate data extraction and complete recovery of the original image. Experimental results on various medical images demonstrate that the method achieves high peak signal-to-noise ratio (PSNR) values even with increased pay loads, confirming its effectiveness in preserving image quality. This technique offers a reliable solution for secure medical data handline and can be applied in sensitive fields requiring both data confidentiality and image integrity.