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All Journal bit-Tech Indonesian Journal of Electrical Engineering and Computer Science
Olivier Videme Bossou
University of Yaoundé I
Computer Science & IT

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A miniaturized dual-band planar antenna with a square ring defected ground structure for 5G millimetre-wave applications Mamadou Mamarou Diallo; Dominic Bernard Onyango Konditi; Olivier Videme Bossou
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp197-205

Abstract

The high demand for wireless wideband services has led to evolving of a new mobile network standard, which is known as ‘5G’. For 5G to meet the essentials in terms of bandwidth, the industry should leverage the mm-Wave band (24-300 GHz). Further, miniaturized antennas that operate in multiple frequency bands are required for future space-constrained devices. In this manuscript, a compact dual-band circular microstrip antenna which has a square ring defected ground structure (SR-DGS) is investigated for 5G mobile systems. The design is accomplished using Ansys-HFSS 2021R1. The Rogers RT/duroid (5880) substrate, which has a permittivity of 2.2, a tangent loss of 0.0009, and a thickness of 1.575 mm, is used as a dielectric material. The antenna has physical dimensions of 5x4x1.575 mm3 with an electrical size of 0.458λ0 x0.366λ0 x0.144λ0 ; λ0 represents the wavelength in free space at 27.50 GHz. Impedance bandwidths of 1.34 GHz (27.50 GHz-28.84 GHz) and 2.26 GHz (37.74 GHz-40 GHz) are achieved at the 28 GHz and 38 GHz bands, respectively. The antenna resonates at 28.1875 GHz and 38.5625 GHz with respective gains of 7.2 dB and 7.65 dB. The proposed antenna is a promising candidate for 5G communications due to its miniaturized size.
Text Pre-processing Techniques for the Fulfulde Language using NLTK Raphael Babgai Guidéké; Olivier Vidémé Bossou; Missa Habiba
bit-Tech Vol. 8 No. 3 (2026): bit-Tech - IN PROGRESS
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3621

Abstract

The Fulfulde language, spoken by over 60 million people, presents significant challenges for Natural Language Processing (NLP) due to its complex morphology and dialectal diversity. Existing low-resource frameworks and standard rule-based approaches often fail to adequately address these morphosyntactic intricacies, creating a critical research gap. To bridge this gap, this study introduces the Text Pre-processing Technique for Fulfulde (TPTF). This pipeline engineer’s specific adaptations of conventional NLP techniques tokenisation, normalisation, lemmatisation, stop-word removal, and POS tagging tailored for Fulfulde's linguistic structure. The system was evaluated on a compiled corpus of 6,583 sentences from diverse media and literary sources, acknowledging the constraints inherent to such a low-resource dataset. Performance was assessed using ROUGE metrics to quantify the overlap and fidelity between automatic and reference pre-processing. The proposed technique achieved 99.22% precision, 61.73% recall, and an F-score of 76.11%. These results demonstrate TPTF's superior capacity to handle Fulfulde specificities compared to generic models. The TPTF pipeline provides a robust engineering foundation for downstream NLP tasks. Beyond technical performance, this contribution supports the future development of translation tools, aiding the preservation of Fulfulde's linguistic heritage and enhancing digital information access for its speakers.
Co-Authors Dominic Bernard Onyango Konditi Mamadou Mamarou Diallo Missa Habiba Raphael Babgai Guidéké