Browsing by Author "Matogoro, Jabhera"

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    Data science for empowerment: understanding the data science training landscape for women and girls in Africa
    (Tylor and Frances Group, 2022) Babirye, Claire; Muyoya, Chisenga; Mazumdar, Suvodeep; Jimenez, Andrea; Maina, Ciira; Matogoro, Jabhera; Ndung’u, Margaret Nyambura; Kleine, Dorothea
    The increasing datafication of African societies has led to a proliferation of data science-related training opportunities. These trainings provide young people with the opportunity to learn the skills to work on Data science, with some focused specifically on women and girls. While this is encouraging and brings new opportunities for women and girls to participate in the knowledge economy, it is important to understand the wider context of data science training in Africa, in particular, how women and girls experience their (data science) education, and how this knowledge can impact their lives, sustain livelihoods and bring empowerment. Through a review of the literature, as well as an examination of different pedagogical approaches and practices used by various formal and informal training programs in Africa, we examined the experience of women and girls. We conducted a mapping of the training and networks that have been set up to provide know-ledge and skills and to empower women in data science. We high-light some of the facilitators that have positively contributed to a greater participation of women and girls in data science education, while also revealing some of the barriers and structural impediments to fair access to training for women in data science.
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    Investigation of radio propagation characteristics in UHF band over straight and circular paths in central Tanzania
    (IEEE, 2021) Matogoro, Jabhera; Mfupe, Luzango; Mvungi, Nerei; Anatory, Justinian
    A study was conducted to investigate radio propagation characteristics in ultra-high frequency (UHF) bands over straight and circular paths in central Tanzania. The received signal power values (in dBm) were collected using a spectrum analyzer in straight and circular paths. The collected values were further converted to path loss values and validated against those computed from theoretical formulas of ITU-R P.452-16, ITU-R P.1812-4, Hata and Longley-Rice models. The study used the experimental spectrum measurements approach and Pearson’s correlation coefficient (PCC) to determine the best-fit propagation model for the UHF spectrum band allocated for digital terrestrial television (DTT) in central Tanzania. The DTT spectrum band ranges from 470 – 694 MHz in Tanzania after successfully migrating from analogue to digital broadcasting. The study found a significant difference between measured path loss values and those computed from theoretical formulas. The Hata and Longley-Rice models had a better convergence with reality for most of the fixed locations. The accuracy of the empirical propagation model plays a critical role in the optimal planning of the television white space (TVWS) network and contributes to efficient spectrum utilization.
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    Towards affordable broadband communication: a quantitative assessment of TV white space in Tanzania
    (Springer Nature, 2017) Matogoro, Jabhera; Mvungi, Nerey H.; Justinian, Anatory; Karandikar, Abhay; Singh, Jaspreet
    A quantitative assessment of TV White Space in Tanzania was conducted to assess the level of spectrum utilization as well as a key milestone towards the use of white space for affordable broadband communication. Two approaches have been used; pollution and protection viewpoints and experimental spectrum measurements based on energy detection principle. The study focused on 470–694 MHz UHF spectrum band which is used for digital terrestrial television in Tanzania. It was found that, more than 120 MHz is available as white space in various locations in Tanzania when pollution and protection view point was used and about 184 MHz are available as white space in Dodoma urban using experimental spectrum measurements and almost 100% of the available frequencies are not used in Dodoma rural. Both approaches revealed that there is low spectrum utilization and therefore presents a best case towards development of dynamic spectrum access technologies in Tanzania