Journal of Next-Generation Research 5.0
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7559 research outputs found
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Indifférence religieuse et athéisme, ou le choix d’une école laïque en Tunisie
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Digital literacy and a socio-interactional approach for the teaching and learning of languages
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Sensitivity analysis of an outdoor swimming pool under dynamic conditions
No full textInternational audiencePublic swimming pools have an important energy consumption and are rarely optimized. One way to do so is to develop a model able to represent the swimming pool behaviour (water temperature and energy consumption) whatever the climatic conditions. The evaluation of thermal losses is done in this work thanks to the presented model and to measurements (ambient air and pool's temperature, relative humidity, direction and velocity of wind, global solar irradiation) performed on a public outdoor swimming pool situated in La Reunion, a French overseas department located in the Indian Ocean close to Mauritius). Each contribution to the decrease of water's temperature is clearly identified and represented, leading to quite accurate comparisons between simulated results and tests for 4 different nights
Enhancing Faults Monitoring in Secondary Electrical Distribution Network
No full textPart 4: Local Technical PapersInternational audienceInefficient fault management in electrical Secondary Distribution Network (SDN) is one of the major challenges facing most power utility companies around the world including Tanzania. Currently, faults management processes from detection to clearance are done manually due to the lack of visibility in SDN resulting to long Mean Time To Repair (MTTR) and high operational costs. Advancements in Information and Communication Technology (ICT) and sensing technologies have made it possible to have cost effective electrical power network visibility solutions. This study proposes algorithms that enhance fault detection and monitoring in the Tanzania SDN based on distributed processing architecture. The proposed algorithms include sensing and data acquisition, fault detection, localization and visualization. The algorithms were deployed and tested on live network at University of Dar es Salaam (UDSM), Kijitonyama Campus
Evidence of crop production losses in West Africa due to historical global warming in two crop models
No full textInternational audienceAchieving food security goals in West Africa will depend on the capacity of the agricultural sector to feed the rapidly growing population and to moderate the adverse impacts of climate change. indeed, a number of studies anticipate a reduction of the crop yield of the main staple food crops in the region in the coming decades due to global warming. Here, we found that crop production might have already been affected by climate change, with significant yield losses estimated in the historical past. We used a large ensemble of historical climate simulations derived from an atmospheric general circulation model and two process-based crop models, SARRA-H and CYGMA, to evaluate the effects of historical climate change on crop production in West Africa. We generated two ensembles of 100 historical simulations of yields of sorghum and millet corresponding to two climate conditions for each crop model. one ensemble is based on a realistic simulation of the actual climate, while the other is based on a climate simulation that does not account for human influences on climate systems (that is, the non-warming counterfactual climate condition). We found that the last simulated decade, 2000-2009, is approximately 1 °C warmer in West Africa in the ensemble accounting for human influences on climate, with more frequent heat and rainfall extremes. these altered climate conditions have led to regional average yield reductions of 10-20% for millet and 5-15% for sorghum in the two crop models. We found that the average annual production losses across West Africa in 2000-2009 associated with historical climate change, relative to a non-warming counterfactual condition (that is, pre-industrial climate), accounted for 2.33-4.02 billion USD for millet and 0.73-2.17 billion USD for sorghum. The estimates of production losses presented here can be a basis for the loss and damage associated with climate change to date and useful in estimating the costs of the adaptation of crop production systems in the region
